| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004302 |
| Description | Anthropometry is a measurement of the size, weight, and proportions of the human or other primate body. | Trait category |
Other measurement
|
| Synonyms |
2 synonyms
|
| Mapped term | MESH:D000886 |
| Child trait(s) | 13 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000027 (GPS_BMI) |
PGP000017 | Khera AV et al. Cell (2019) |
Body mass index (BMI) | body mass index | 2,100,302 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000027/ScoringFiles/PGS000027.txt.gz | |
| PGS000034 (GRS_BMI) |
PGP000021 | Song M et al. Diabetes (2017) |
Adult body mass index (BMI) | body mass index | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000034/ScoringFiles/PGS000034.txt.gz |
| PGS000298 (GRS941_BMI) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Body mass index (BMI) | body mass index | 941 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000298/ScoringFiles/PGS000298.txt.gz |
| PGS000299 (GRS462_WHRadjBMI) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Waist-to-hip ratio (body mass index adjusted) | BMI-adjusted waist-hip ratio | 462 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000299/ScoringFiles/PGS000299.txt.gz |
| PGS000320 (PRS_BMI) |
PGP000096 | Chami N et al. PLoS Med (2020) |
Body mass index (BMI) | body mass index | 263,640 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000320/ScoringFiles/PGS000320.txt.gz | |
| PGS000716 (PGS295_elbs) |
PGP000132 | Richardson TG et al. BMJ (2020) |
Early life body size | body mass index, comparative body size at age 10, self-reported |
295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000716/ScoringFiles/PGS000716.txt.gz |
| PGS000717 (PGS557_albs) |
PGP000132 | Richardson TG et al. BMJ (2020) |
Adult life body size | body mass index | 557 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000717/ScoringFiles/PGS000717.txt.gz |
| PGS000770 (PRS231) |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Body mass index (BMI) | body mass index | 231 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000770/ScoringFiles/PGS000770.txt.gz | |
| PGS000829 (BMI_PGS_M) |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Body mass index (BMI) (male) | body mass index, male |
290 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000829/ScoringFiles/PGS000829.txt.gz |
| PGS000830 (BMI_PGS_F) |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Body mass index (BMI) (female) | body mass index, female |
372 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000830/ScoringFiles/PGS000830.txt.gz |
| PGS000841 (BMI) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Body mass index (BMI) | body mass index | 122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000841/ScoringFiles/PGS000841.txt.gz |
| PGS000842 (WHR) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Waist-hip ratio | waist-hip ratio | 39 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000842/ScoringFiles/PGS000842.txt.gz |
| PGS000843 (WHRadjBMI) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
WHR adjusted for BMI | BMI-adjusted waist-hip ratio | 63 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000843/ScoringFiles/PGS000843.txt.gz |
| PGS000910 (PRS_BMI) |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Body mass index (BMI) | body mass index | 735,440 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000910/ScoringFiles/PGS000910.txt.gz |
| PGS000921 (PRS_BMI) |
PGP000243 | Borisevich D et al. PLoS One (2021) |
Body mass index (BMI) | body mass index | 1,947,711 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000921/ScoringFiles/PGS000921.txt.gz | |
| PGS000969 (GBE_INI20015) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sitting height | sitting height measurement | 36,345 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000969/ScoringFiles/PGS000969.txt.gz |
| PGS001002 (GBE_INI23102) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Whole body water mass | whole body water mass | 35,046 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001002/ScoringFiles/PGS001002.txt.gz |
| PGS001006 (GBE_BIN_FC1002306) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Weight change compared with 1 year ago | body weight, self-reported trait |
2,638 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001006/ScoringFiles/PGS001006.txt.gz |
| PGS001101 (GBE_INI23099) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage | body fat percentage | 27,396 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001101/ScoringFiles/PGS001101.txt.gz |
| PGS001102 (GBE_INI23123) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (left arm) | body fat percentage | 25,266 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001102/ScoringFiles/PGS001102.txt.gz |
| PGS001103 (GBE_INI23115) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (left leg) | body fat percentage | 28,134 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001103/ScoringFiles/PGS001103.txt.gz |
| PGS001104 (GBE_INI23111) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (right leg) | body fat percentage | 28,163 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001104/ScoringFiles/PGS001104.txt.gz |
| PGS001105 (GBE_INI23127) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body fat percentage (trunk fat) | body fat percentage | 25,651 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001105/ScoringFiles/PGS001105.txt.gz |
| PGS001106 (GBE_INI23119) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arm fat percentage (R) | body fat percentage | 23,943 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001106/ScoringFiles/PGS001106.txt.gz |
| PGS001119 (GBE_INI46) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Left hand grip strength | grip strength measurement | 13,767 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001119/ScoringFiles/PGS001119.txt.gz |
| PGS001120 (GBE_INI47) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Right hand grip strength | grip strength measurement | 12,644 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001120/ScoringFiles/PGS001120.txt.gz |
| PGS001154 (GBE_INI23110) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (left arm) | body composition measurement | 26,740 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001154/ScoringFiles/PGS001154.txt.gz |
| PGS001155 (GBE_INI23108) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (left leg) | body composition measurement | 28,999 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001155/ScoringFiles/PGS001155.txt.gz |
| PGS001156 (GBE_INI23109) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (right arm) | body composition measurement | 30,140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001156/ScoringFiles/PGS001156.txt.gz |
| PGS001157 (GBE_INI23107) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Impedance (right leg) | body composition measurement | 30,300 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001157/ScoringFiles/PGS001157.txt.gz |
| PGS001158 (GBE_INI23118) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Left leg mass (predicted) | body composition measurement | 30,421 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001158/ScoringFiles/PGS001158.txt.gz |
| PGS001159 (GBE_INI23114) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Right leg mass (predicted) | body composition measurement | 32,103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001159/ScoringFiles/PGS001159.txt.gz |
| PGS001160 (GBE_INI23130) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Trunk mass (predicted) | body composition measurement | 32,685 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001160/ScoringFiles/PGS001160.txt.gz |
| PGS001161 (GBE_INI23106) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Whole body impedance | body composition measurement | 32,218 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001161/ScoringFiles/PGS001161.txt.gz |
| PGS001165 (GBE_INI23125) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Arm fat free mass (L) | lean body mass | 30,360 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001165/ScoringFiles/PGS001165.txt.gz |
| PGS001166 (GBE_INI23117) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Leg fat-free mass (L) | lean body mass | 30,340 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001166/ScoringFiles/PGS001166.txt.gz |
| PGS001167 (GBE_INI23113) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Leg fat-free mass (R) | lean body mass | 32,046 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001167/ScoringFiles/PGS001167.txt.gz |
| PGS001168 (GBE_INI23129) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Trunk fat free mass | lean body mass | 34,749 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001168/ScoringFiles/PGS001168.txt.gz |
| PGS001169 (GBE_INI23101) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Whole body fat free mass | lean body mass | 34,486 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001169/ScoringFiles/PGS001169.txt.gz |
| PGS001226 (GBE_INI20022) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Birth weight | birth weight | 6,278 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001226/ScoringFiles/PGS001226.txt.gz |
| PGS001228 (GBE_INI21001) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body mass index (BMI) | body mass index | 27,126 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001228/ScoringFiles/PGS001228.txt.gz |
| PGS001230 (GBE_INI21002) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body weight | body weight | 31,222 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001230/ScoringFiles/PGS001230.txt.gz |
| PGS001234 (GBE_INI23126) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Left arm mass (predicted) | body weights and measures | 30,666 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001234/ScoringFiles/PGS001234.txt.gz |
| PGS001235 (GBE_INI23122) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Right arm mass (predicted) | body weights and measures | 28,988 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001235/ScoringFiles/PGS001235.txt.gz |
| PGS001241 (GBE_INI3143) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ankle spacing width | anthropometric measurement | 21,694 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001241/ScoringFiles/PGS001241.txt.gz |
| PGS001242 (GBE_INI4100) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ankle spacing width (L) | anthropometric measurement | 13,416 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001242/ScoringFiles/PGS001242.txt.gz |
| PGS001243 (GBE_INI4119) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ankle spacing width (R) | anthropometric measurement | 15,134 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001243/ScoringFiles/PGS001243.txt.gz |
| PGS001379 (GBE_INI22427) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Body surface area | anthropometric measurement | 850 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001379/ScoringFiles/PGS001379.txt.gz |
| PGS001825 (portability-PLR_278) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Overweight, obesity and other hyperalimentation | obesity, overweight body mass index status, overnutrition |
13,009 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001825/ScoringFiles/PGS001825.txt.gz |
| PGS001887 (portability-PLR_ankle_spacing) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ankle spacing width | anthropometric measurement | 89,827 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001887/ScoringFiles/PGS001887.txt.gz |
| PGS001892 (portability-PLR_birth_weight) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Birth weight | birth weight | 35,060 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001892/ScoringFiles/PGS001892.txt.gz |
| PGS001917 (portability-PLR_fat_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Body fat percentage | body fat percentage | 107,244 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001917/ScoringFiles/PGS001917.txt.gz |
| PGS001927 (portability-PLR_hand_grip_strength) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hand grip strength (mean of both) | grip strength measurement | 73,846 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001927/ScoringFiles/PGS001927.txt.gz |
| PGS001943 (portability-PLR_log_BMI) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 110,153 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001943/ScoringFiles/PGS001943.txt.gz |
| PGS001950 (portability-PLR_log_fat_free_mass) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Whole body fat-free mass | lean body mass | 128,827 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001950/ScoringFiles/PGS001950.txt.gz |
| PGS001961 (portability-PLR_log_impedance) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Impedance of whole body | body composition measurement | 119,500 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001961/ScoringFiles/PGS001961.txt.gz |
| PGS001984 (portability-PLR_log_water_mass) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Whole body water mass | whole body water mass | 127,910 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001984/ScoringFiles/PGS001984.txt.gz |
| PGS002005 (portability-PLR_sitting_height) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sitting height | sitting height measurement | 118,423 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002005/ScoringFiles/PGS002005.txt.gz |
| PGS002033 (portability-ldpred2_278) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Overweight, obesity and other hyperalimentation | obesity, overweight body mass index status, overnutrition |
846,292 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002033/ScoringFiles/PGS002033.txt.gz |
| PGS002100 (portability-ldpred2_ankle_spacing) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ankle spacing width | anthropometric measurement | 917,925 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002100/ScoringFiles/PGS002100.txt.gz |
| PGS002105 (portability-ldpred2_birth_weight) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Birth weight | birth weight | 827,714 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002105/ScoringFiles/PGS002105.txt.gz |
| PGS002133 (portability-ldpred2_fat_perc) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Body fat percentage | body fat percentage | 995,419 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002133/ScoringFiles/PGS002133.txt.gz |
| PGS002143 (portability-ldpred2_hand_grip_strength) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hand grip strength (mean of both) | grip strength measurement | 966,283 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002143/ScoringFiles/PGS002143.txt.gz |
| PGS002161 (portability-ldpred2_log_BMI) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 990,022 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002161/ScoringFiles/PGS002161.txt.gz |
| PGS002168 (portability-ldpred2_log_fat_free_mass) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Whole body fat-free mass | lean body mass | 966,825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002168/ScoringFiles/PGS002168.txt.gz |
| PGS002179 (portability-ldpred2_log_impedance) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Impedance of whole body | body composition measurement | 978,109 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002179/ScoringFiles/PGS002179.txt.gz |
| PGS002202 (portability-ldpred2_log_water_mass) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Whole body water mass | whole body water mass | 966,737 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002202/ScoringFiles/PGS002202.txt.gz |
| PGS002224 (portability-ldpred2_sitting_height) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sitting height | sitting height measurement | 910,252 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002224/ScoringFiles/PGS002224.txt.gz |
| PGS002251 (PRS97_BMI) |
PGP000278 | Dashti HS et al. BMC Med (2022) |
Body mass index (BMI) | body mass index | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002251/ScoringFiles/PGS002251.txt.gz |
| PGS002313 (body_BMIz.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002313/ScoringFiles/PGS002313.txt.gz |
| PGS002356 (body_WHRadjBMIz.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002356/ScoringFiles/PGS002356.txt.gz |
| PGS002360 (body_BMIz.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 920,920 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002360/ScoringFiles/PGS002360.txt.gz |
| PGS002385 (body_BMIz.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 15,518 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002385/ScoringFiles/PGS002385.txt.gz |
| PGS002428 (body_WHRadjBMIz.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 9,477 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002428/ScoringFiles/PGS002428.txt.gz |
| PGS002434 (body_BMIz.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 41,662 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002434/ScoringFiles/PGS002434.txt.gz |
| PGS002477 (body_WHRadjBMIz.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 27,033 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002477/ScoringFiles/PGS002477.txt.gz |
| PGS002483 (body_BMIz.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 162,598 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002483/ScoringFiles/PGS002483.txt.gz |
| PGS002526 (body_WHRadjBMIz.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 126,268 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002526/ScoringFiles/PGS002526.txt.gz |
| PGS002532 (body_BMIz.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 4,284 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002532/ScoringFiles/PGS002532.txt.gz |
| PGS002575 (body_WHRadjBMIz.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 2,912 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002575/ScoringFiles/PGS002575.txt.gz |
| PGS002581 (body_BMIz.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 2,385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002581/ScoringFiles/PGS002581.txt.gz |
| PGS002624 (body_WHRadjBMIz.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 1,829 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002624/ScoringFiles/PGS002624.txt.gz |
| PGS002630 (body_BMIz.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 620,484 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002630/ScoringFiles/PGS002630.txt.gz |
| PGS002673 (body_WHRadjBMIz.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 325,206 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002673/ScoringFiles/PGS002673.txt.gz |
| PGS002679 (body_BMIz.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Body mass index (BMI) | body mass index | 987,879 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002679/ScoringFiles/PGS002679.txt.gz |
| PGS002722 (body_WHRadjBMIz.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Waist-hip ratio | waist-hip ratio | 984,160 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002722/ScoringFiles/PGS002722.txt.gz |
| PGS002751 (GRSrare) |
PGP000363 | Sapkota Y et al. Nat Med (2022) |
Body mass index (BMI) | body mass index | 14 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002751/ScoringFiles/PGS002751.txt.gz | |
| PGS002840 (ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,062,550 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002840/ScoringFiles/PGS002840.txt.gz | |
| PGS002841 (ExPRSweb_BMI_21001-irnt_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 32,980 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002841/ScoringFiles/PGS002841.txt.gz | |
| PGS002842 (ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 51,983 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002842/ScoringFiles/PGS002842.txt.gz | |
| PGS002843 (ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 7,444,639 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002843/ScoringFiles/PGS002843.txt.gz | |
| PGS002844 (ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002844/ScoringFiles/PGS002844.txt.gz | |
| PGS002845 (ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,052,511 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002845/ScoringFiles/PGS002845.txt.gz | |
| PGS002846 (ExPRSweb_BMI_21001-raw_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 32,526 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002846/ScoringFiles/PGS002846.txt.gz | |
| PGS002847 (ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 51,370 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002847/ScoringFiles/PGS002847.txt.gz | |
| PGS002848 (ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 7,444,629 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002848/ScoringFiles/PGS002848.txt.gz | |
| PGS002849 (ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002849/ScoringFiles/PGS002849.txt.gz | |
| PGS002850 (ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,053,861 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002850/ScoringFiles/PGS002850.txt.gz | |
| PGS002851 (ExPRSweb_BMI_23104-irnt_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 32,697 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002851/ScoringFiles/PGS002851.txt.gz | |
| PGS002852 (ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 51,563 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002852/ScoringFiles/PGS002852.txt.gz | |
| PGS002853 (ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 7,446,664 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002853/ScoringFiles/PGS002853.txt.gz | |
| PGS002854 (ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002854/ScoringFiles/PGS002854.txt.gz | |
| PGS002855 (ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,044,654 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002855/ScoringFiles/PGS002855.txt.gz | |
| PGS002856 (ExPRSweb_BMI_23104-raw_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 28,689 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002856/ScoringFiles/PGS002856.txt.gz | |
| PGS002857 (ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 44,240 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002857/ScoringFiles/PGS002857.txt.gz | |
| PGS002858 (ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 7,446,652 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002858/ScoringFiles/PGS002858.txt.gz | |
| PGS002859 (ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Body mass index (BMI) | body mass index | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002859/ScoringFiles/PGS002859.txt.gz | |
| PGS003124 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 224,595 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003124/ScoringFiles/PGS003124.txt.gz | |
| PGS003125 (ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 256 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003125/ScoringFiles/PGS003125.txt.gz | |
| PGS003126 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 351 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003126/ScoringFiles/PGS003126.txt.gz | |
| PGS003127 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 344,981 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003127/ScoringFiles/PGS003127.txt.gz | |
| PGS003128 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 1,116,425 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003128/ScoringFiles/PGS003128.txt.gz | |
| PGS003129 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 281,336 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003129/ScoringFiles/PGS003129.txt.gz | |
| PGS003130 (ExPRSweb_Thinness_STILTS-UKHLS_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 4,280 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003130/ScoringFiles/PGS003130.txt.gz | |
| PGS003131 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 5,164 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003131/ScoringFiles/PGS003131.txt.gz | |
| PGS003132 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 41,698 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003132/ScoringFiles/PGS003132.txt.gz | |
| PGS003133 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Thinness | body mass index | 1,117,469 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003133/ScoringFiles/PGS003133.txt.gz | |
| PGS003462 (LDPred2_BMI) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Body mass index (BMI) | body mass index | 749,106 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003462/ScoringFiles/PGS003462.txt.gz |
| PGS003484 (LDPred2_WHR) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Waist-hip ratio | waist-hip ratio | 855,882 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003484/ScoringFiles/PGS003484.txt.gz |
| PGS003485 (LDPred2_WHRadjBMI) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
BMI-adjusted waist-hip ratio | BMI-adjusted waist-hip ratio | 785,126 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003485/ScoringFiles/PGS003485.txt.gz |
| PGS003490 (cont-decay-ankle_spacing) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Ankle spacing width | body weights and measures | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003490/ScoringFiles/PGS003490.txt.gz |
| PGS003494 (cont-decay-birth_weight) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Birth weight | birth weight | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003494/ScoringFiles/PGS003494.txt.gz |
| PGS003509 (cont-decay-fat_perc) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Body fat percentage | body fat percentage | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003509/ScoringFiles/PGS003509.txt.gz |
| PGS003513 (cont-decay-hand_grip_strength) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Hand grip strength (mean of both) | grip strength measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003513/ScoringFiles/PGS003513.txt.gz |
| PGS003525 (cont-decay-log_BMI) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Body mass index (BMI) | body mass index | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003525/ScoringFiles/PGS003525.txt.gz |
| PGS003531 (cont-decay-log_fat_free_mass) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Whole body fat-free mass | lean body mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003531/ScoringFiles/PGS003531.txt.gz |
| PGS003540 (cont-decay-log_impedance) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Impedance of whole body | whole body water mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003540/ScoringFiles/PGS003540.txt.gz |
| PGS003556 (cont-decay-log_water_mass) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Whole body water mass | whole body water mass | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003556/ScoringFiles/PGS003556.txt.gz |
| PGS003569 (cont-decay-sitting_height) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Sitting height | sitting height measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003569/ScoringFiles/PGS003569.txt.gz |
| PGS003842 (bmi_EUR_CT) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 145,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003842/ScoringFiles/PGS003842.txt.gz | |
| PGS003843 (bmi_EUR_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 564,332 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003843/ScoringFiles/PGS003843.txt.gz | |
| PGS003844 (bmi_AFR_CT) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 87 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003844/ScoringFiles/PGS003844.txt.gz | |
| PGS003845 (bmi_AFR_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 752,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003845/ScoringFiles/PGS003845.txt.gz | |
| PGS003846 (bmi_AFR_weighted_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 817,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003846/ScoringFiles/PGS003846.txt.gz | |
| PGS003847 (bmi_AFR_PRSCSx) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 300,864 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003847/ScoringFiles/PGS003847.txt.gz | |
| PGS003848 (bmi_AFR_CTSLEB) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Body mass index (BMI) | body mass index | 741,723 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003848/ScoringFiles/PGS003848.txt.gz | |
| PGS003884 (BMI_PRScsx_ARB_AMRweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Body mass index (BMI) | body mass index | 1,067,771 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003884/ScoringFiles/PGS003884.txt.gz |
| PGS003885 (BMI_PRScsx_ARB_ARBweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Body mass index (BMI) | body mass index | 882,001 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003885/ScoringFiles/PGS003885.txt.gz |
| PGS003886 (BMI_PRScsx_ARB_EASweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Body mass index (BMI) | body mass index | 941,406 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003886/ScoringFiles/PGS003886.txt.gz |
| PGS003887 (BMI_PRScsx_ARB_EURweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Body mass index (BMI) | body mass index | 922,653 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003887/ScoringFiles/PGS003887.txt.gz |
| PGS003896 (INI20015) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Sitting height | sitting height measurement | 44,543 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003896/ScoringFiles/PGS003896.txt.gz |
| PGS003897 (INI21001) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Body mass index (BMI) | body mass index | 35,941 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003897/ScoringFiles/PGS003897.txt.gz |
| PGS003898 (INI21002) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Weight | body weight | 38,592 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003898/ScoringFiles/PGS003898.txt.gz |
| PGS003899 (INI23099) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Body fat percentage | body fat percentage | 34,374 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003899/ScoringFiles/PGS003899.txt.gz |
| PGS003901 (INI23101) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Whole body fat-free mass | lean body mass | 42,786 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003901/ScoringFiles/PGS003901.txt.gz |
| PGS003902 (INI23102) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Whole body water mass | whole body water mass | 43,166 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003902/ScoringFiles/PGS003902.txt.gz |
| PGS003904 (INI23106) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of whole body | body composition measurement | 42,265 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003904/ScoringFiles/PGS003904.txt.gz |
| PGS003905 (INI23107) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of leg (R) | body composition measurement | 38,218 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003905/ScoringFiles/PGS003905.txt.gz |
| PGS003906 (INI23108) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of leg (L) | body composition measurement | 36,063 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003906/ScoringFiles/PGS003906.txt.gz |
| PGS003907 (INI23109) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of arm (R) | body composition measurement | 35,455 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003907/ScoringFiles/PGS003907.txt.gz |
| PGS003908 (INI23110) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Impedance of arm (L) | body composition measurement | 36,052 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003908/ScoringFiles/PGS003908.txt.gz |
| PGS003909 (INI23111) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat percentage (R) | body fat percentage | 32,758 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003909/ScoringFiles/PGS003909.txt.gz |
| PGS003911 (INI23113) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat-free mass (R) | lean body mass | 38,493 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003911/ScoringFiles/PGS003911.txt.gz |
| PGS003912 (INI23115) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat percentage (L) | body fat percentage | 33,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003912/ScoringFiles/PGS003912.txt.gz |
| PGS003914 (INI23117) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Leg fat-free mass (L) | lean body mass | 38,764 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003914/ScoringFiles/PGS003914.txt.gz |
| PGS003915 (INI23119) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat percentage (R) | body fat percentage | 32,448 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003915/ScoringFiles/PGS003915.txt.gz |
| PGS003917 (INI23121) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat-free mass (R) | lean body mass | 38,650 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003917/ScoringFiles/PGS003917.txt.gz |
| PGS003918 (INI23123) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat percentage (L) | body fat percentage | 32,450 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003918/ScoringFiles/PGS003918.txt.gz |
| PGS003920 (INI23125) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Arm fat-free mass (L) | lean body mass | 39,276 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003920/ScoringFiles/PGS003920.txt.gz |
| PGS003921 (INI23127) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Trunk fat percentage | body fat percentage | 32,770 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003921/ScoringFiles/PGS003921.txt.gz |
| PGS003923 (INI23129) |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Trunk fat-free mass | lean body mass | 42,468 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003923/ScoringFiles/PGS003923.txt.gz |
| PGS003980 (dbslmm.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 1,039,020 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003980/ScoringFiles/PGS003980.txt.gz | |
| PGS003996 (lassosum.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 16,785 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003996/ScoringFiles/PGS003996.txt.gz | |
| PGS004012 (lassosum.CV.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 437,695 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004012/ScoringFiles/PGS004012.txt.gz | |
| PGS004022 (ldpred2.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 919,377 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004022/ScoringFiles/PGS004022.txt.gz | |
| PGS004037 (ldpred2.CV.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 919,377 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004037/ScoringFiles/PGS004037.txt.gz | |
| PGS004050 (megaprs.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 609,706 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004050/ScoringFiles/PGS004050.txt.gz | |
| PGS004066 (megaprs.CV.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 602,445 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004066/ScoringFiles/PGS004066.txt.gz | |
| PGS004080 (prscs.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 1,011,571 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004080/ScoringFiles/PGS004080.txt.gz | |
| PGS004096 (prscs.CV.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 1,011,571 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004096/ScoringFiles/PGS004096.txt.gz | |
| PGS004104 (pt_clump.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 83 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004104/ScoringFiles/PGS004104.txt.gz | |
| PGS004120 (pt_clump_nested.CV.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 23,190 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004120/ScoringFiles/PGS004120.txt.gz | |
| PGS004134 (sbayesr.auto.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 782,021 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004134/ScoringFiles/PGS004134.txt.gz | |
| PGS004150 (UKBB_EnsPGS.GCST002783.BMI) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Body mass index (BMI) | body mass index | 1,039,042 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004150/ScoringFiles/PGS004150.txt.gz | |
| PGS004216 (bmi_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Body mass index | body mass index | 24,059 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004216/ScoringFiles/PGS004216.txt.gz |
| PGS004217 (bmi_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Body mass index | body mass index | 24,706 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004217/ScoringFiles/PGS004217.txt.gz |
| PGS004218 (bmi_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Body mass index | body mass index | 22,176 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004218/ScoringFiles/PGS004218.txt.gz |
| PGS004219 (bmi_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Body mass index | body mass index | 25,971 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004219/ScoringFiles/PGS004219.txt.gz |
| PGS004220 (bmi_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Body mass index | body mass index | 24,026 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004220/ScoringFiles/PGS004220.txt.gz |
| PGS004319 (GRS103_BMI) |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Body mass index | body mass index | 103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004319/ScoringFiles/PGS004319.txt.gz |
| PGS004373 (X23098.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Weight | body weight | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004373/ScoringFiles/PGS004373.txt.gz |
| PGS004374 (X23099.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Body fat percentage | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004374/ScoringFiles/PGS004374.txt.gz |
| PGS004376 (X23101.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Whole body fat-free mass | lean body mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004376/ScoringFiles/PGS004376.txt.gz |
| PGS004377 (X23102.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Whole body water mass | whole body water mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004377/ScoringFiles/PGS004377.txt.gz |
| PGS004378 (X23104.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Body mass index (BMI) | body mass index | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004378/ScoringFiles/PGS004378.txt.gz |
| PGS004385 (X23111.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat percentage (right) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004385/ScoringFiles/PGS004385.txt.gz |
| PGS004387 (X23113.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat-free mass (right) | lean body mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004387/ScoringFiles/PGS004387.txt.gz |
| PGS004388 (X23114.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg predicted mass (right) | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004388/ScoringFiles/PGS004388.txt.gz |
| PGS004389 (X23115.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat percentage (left) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004389/ScoringFiles/PGS004389.txt.gz |
| PGS004391 (X23117.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg fat-free mass (left) | lean body mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004391/ScoringFiles/PGS004391.txt.gz |
| PGS004392 (X23118.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Leg predicted mass (left) | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004392/ScoringFiles/PGS004392.txt.gz |
| PGS004393 (X23119.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat percentage (right) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004393/ScoringFiles/PGS004393.txt.gz |
| PGS004395 (X23121.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat-free mass (right) | lean body mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004395/ScoringFiles/PGS004395.txt.gz |
| PGS004396 (X23122.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm predicted mass (right) | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004396/ScoringFiles/PGS004396.txt.gz |
| PGS004397 (X23123.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat percentage (left) | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004397/ScoringFiles/PGS004397.txt.gz |
| PGS004399 (X23125.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm fat-free mass (left) | lean body mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004399/ScoringFiles/PGS004399.txt.gz |
| PGS004400 (X23126.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Arm predicted mass (left) | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004400/ScoringFiles/PGS004400.txt.gz |
| PGS004401 (X23127.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Trunk fat percentage | body fat percentage | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004401/ScoringFiles/PGS004401.txt.gz |
| PGS004403 (X23129.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Trunk fat-free mass | lean body mass | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004403/ScoringFiles/PGS004403.txt.gz |
| PGS004404 (X23130.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Trunk predicted mass | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004404/ScoringFiles/PGS004404.txt.gz |
| PGS004408 (X20015.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Sitting height | sitting height measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004408/ScoringFiles/PGS004408.txt.gz |
| PGS004409 (X21001.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Body mass index (BMI) | body mass index | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004409/ScoringFiles/PGS004409.txt.gz |
| PGS004410 (X21002.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Weight | body weight | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004410/ScoringFiles/PGS004410.txt.gz |
| PGS004412 (X3143.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Ankle spacing width | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004412/ScoringFiles/PGS004412.txt.gz |
| PGS004416 (X4100.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Ankle spacing width (left) | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004416/ScoringFiles/PGS004416.txt.gz |
| PGS004421 (X4119.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Ankle spacing width (right) | body weights and measures | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004421/ScoringFiles/PGS004421.txt.gz |
| PGS004426 (X20022.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Birth weight | birth weight | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004426/ScoringFiles/PGS004426.txt.gz |
| PGS004428 (X46.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Hand grip strength (left) | grip strength measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004428/ScoringFiles/PGS004428.txt.gz |
| PGS004429 (X47.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Hand grip strength (right) | grip strength measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004429/ScoringFiles/PGS004429.txt.gz |
| PGS004609 (adult_BMI) |
PGP000585 | Hawkes G et al. Diabetologia (2023) |
Body mass index (BMI) | body mass index | 1,127 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004609/ScoringFiles/PGS004609.txt.gz |
| PGS004610 (child_BMI) |
PGP000585 | Hawkes G et al. Diabetologia (2023) |
Body mass index (BMI) | body mass index | 306 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004610/ScoringFiles/PGS004610.txt.gz |
| PGS004733 (bmi_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Body mass index (BMI) | body mass index | 1,915,187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004733/ScoringFiles/PGS004733.txt.gz |
| PGS004734 (bmi_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Body mass index (BMI) | body mass index | 4,081,121 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004734/ScoringFiles/PGS004734.txt.gz |
| PGS004735 (bmi_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Body mass index (BMI) | body mass index | 4,536,322 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004735/ScoringFiles/PGS004735.txt.gz |
| PGS004736 (bmi_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Body mass index (BMI) | body mass index | 4,081,121 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004736/ScoringFiles/PGS004736.txt.gz |
| PGS004864 (PRS186_BMI) |
PGP000611 | de Toro-Martín J et al. JCI Insight (2018) |
Body mass index (BMI) | body mass index | 186 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004864/ScoringFiles/PGS004864.txt.gz |
| PGS004900 (GRS_BMI_males) |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Body mass index (BMI) | body mass index | 94 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004900/ScoringFiles/PGS004900.txt.gz |
| PGS004901 (GRS_BMI_females) |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Body mass index (BMI) | body mass index | 94 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004901/ScoringFiles/PGS004901.txt.gz |
| PGS004902 (PRSBMI) |
PGP000631 | Chikowore T et al. Genome Med (2024) |
Body mass index (BMI) | body mass index | 322,639 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004902/ScoringFiles/PGS004902.txt.gz |
| PGS004982 (mean_BMI_INT_ldpred_AFRss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004982/ScoringFiles/PGS004982.txt.gz |
| PGS004983 (mean_BMI_INT_ldpred_EURss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004983/ScoringFiles/PGS004983.txt.gz |
| PGS004984 (mean_BMI_INT_ldpred_HISss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004984/ScoringFiles/PGS004984.txt.gz |
| PGS004985 (mean_BMI_INT_ldpred_METAss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004985/ScoringFiles/PGS004985.txt.gz |
| PGS004986 (mean_BMI_INT_ldpred_METAss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004986/ScoringFiles/PGS004986.txt.gz |
| PGS004987 (mean_BMI_INT_ldpred_METAss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004987/ScoringFiles/PGS004987.txt.gz |
| PGS004988 (mean_BMI_INT_prscs_AFRss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004988/ScoringFiles/PGS004988.txt.gz |
| PGS004989 (mean_BMI_INT_prscs_EURss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004989/ScoringFiles/PGS004989.txt.gz |
| PGS004990 (mean_BMI_INT_prscs_HISss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004990/ScoringFiles/PGS004990.txt.gz |
| PGS004991 (mean_BMI_INT_prscs_METAss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004991/ScoringFiles/PGS004991.txt.gz |
| PGS004992 (mean_BMI_INT_prscs_METAss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004992/ScoringFiles/PGS004992.txt.gz |
| PGS004993 (mean_BMI_INT_prscs_METAss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004993/ScoringFiles/PGS004993.txt.gz |
| PGS004994 (mean_BMI_INT_prscsx_METAweight) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Body mass index (BMI) | body mass index | 1,277,825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004994/ScoringFiles/PGS004994.txt.gz |
| PGS005095 (WHRadjBMI_GRS) |
PGP000686 | Christiansen MR et al. Diabetes (2023) |
WHR adjusted for BMI | BMI-adjusted waist-hip ratio | 481 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005095/ScoringFiles/PGS005095.txt.gz |
| PGS005114 (PGS_BMI) |
PGP000701 | Loesch DP et al. Nat Commun (2025) |
Body mass index (BMI) | body mass index | 1,022,364 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005114/ScoringFiles/PGS005114.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000054 | PGS000027 (GPS_BMI) |
PSS000037| European Ancestry| 288,016 individuals |
PGP000017 | Khera AV et al. Cell (2019) |
Reported Trait: Body mass index | β: 1.41 | — | R²: 0.08526 | First 10 genetic PCs | Beta is in units of kg/m^2 |
| PPM001725 | PGS000027 (GPS_BMI) |
PSS000885| European Ancestry| 19,588 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.21 [1.92, 2.54] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001726 | PGS000027 (GPS_BMI) |
PSS000886| European Ancestry| 21,499 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 2.09 [1.74, 2.51] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001727 | PGS000027 (GPS_BMI) |
PSS000886| European Ancestry| 21,499 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 2.13 [1.87, 2.43] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001728 | PGS000027 (GPS_BMI) |
PSS000887| European Ancestry| 26,323 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 2.15 [1.91, 2.41] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001730 | PGS000027 (GPS_BMI) |
PSS000888| European Ancestry| 29,527 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 1.87 [1.68, 2.09] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001731 | PGS000027 (GPS_BMI) |
PSS000888| European Ancestry| 29,527 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 2.05 [1.89, 2.22] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001732 | PGS000027 (GPS_BMI) |
PSS000889| European Ancestry| 21,187 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 2.0 [1.79, 2.23] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001733 | PGS000027 (GPS_BMI) |
PSS000889| European Ancestry| 21,187 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.12 [1.96, 2.3] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001734 | PGS000027 (GPS_BMI) |
PSS000890| European Ancestry| 25,096 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 2.0 [1.8, 2.21] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001735 | PGS000027 (GPS_BMI) |
PSS000890| European Ancestry| 25,096 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 2.03 [1.88, 2.19] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001736 | PGS000027 (GPS_BMI) |
PSS000891| European Ancestry| 14,487 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 1.9 [1.68, 2.14] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001769 | PGS000027 (GPS_BMI) |
PSS000911| Greater Middle Eastern Ancestry| 13,989 individuals |
PGP000147 | Thareja G et al. Nat Commun (2021) |Ext. |
Reported Trait: Body mass index | — | — | Pearson correlation coefficent (r): 0.22 | — | — |
| PPM001737 | PGS000027 (GPS_BMI) |
PSS000891| European Ancestry| 14,487 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.0 [1.83, 2.19] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001738 | PGS000027 (GPS_BMI) |
PSS000892| European Ancestry| 17,740 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within female siblings | OR: 1.72 [1.53, 1.93] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001739 | PGS000027 (GPS_BMI) |
PSS000892| European Ancestry| 17,740 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between female siblings | OR: 1.89 [1.74, 2.05] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001724 | PGS000027 (GPS_BMI) |
PSS000885| European Ancestry| 19,588 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity within male siblings | OR: 2.02 [1.66, 2.46] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM001729 | PGS000027 (GPS_BMI) |
PSS000887| European Ancestry| 26,323 individuals |
PGP000141 | Brandkvist M et al. PLoS Med (2020) |Ext. |
Reported Trait: Obesity between male siblings | OR: 2.15 [1.97, 2.34] | — | — | Sex, time of measurement, age, PCs (1-20), genotyping batch | 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019). |
| PPM016747 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Flat foot | OR: 2.1 β: 0.7 (0.2) |
— | — | — | — |
| PPM016596 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Vitamin deficiency | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016783 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Corns and callosities | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016784 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute pain | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016785 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abnormal glucose | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016570 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Myocardial infarction | OR: 2.5 β: 0.9 (0.1) |
— | — | — | — |
| PPM016786 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic pain syndrome | OR: 2.1 β: 0.7 (0.2) |
— | — | — | — |
| PPM016787 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute and chronic tonsillitis | OR: 1.8 β: 0.6 (0.2) |
— | — | — | — |
| PPM016980 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Joint effusions | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016649 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Carbuncle and furuncle | OR: 3.7 β: 1.3 (0.2) |
— | — | — | — |
| PPM016738 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of parathyroid gland | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016739 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of adrenal glands | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016740 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ingrowing nail | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016651 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gouty arthropathy | OR: 2.9 β: 1.1 (0.2) |
— | — | — | — |
| PPM016652 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypoglycemia | OR: 3.1 β: 1.1 (0.2) |
— | — | — | — |
| PPM016830 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Essential hypertension | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016831 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertension | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016832 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes mellitus | OR: 1.3 β: 0.3 (0.0) |
— | — | — | — |
| PPM016833 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.4 β: 0.3 (0.0) |
— | — | — | — |
| PPM016835 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Obesity | OR: 1.8 β: 0.6 (0.0) |
— | — | — | — |
| PPM016836 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016837 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthritis; localized | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016838 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hyperlipidemia | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016839 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of lipoid metabolism | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016653 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis, generalized | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM014877 | PGS000027 (GPS_BMI) |
PSS009917| European Ancestry| 832 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Body mass index (last completed follow-up visit) | — | — | R²: 0.0729 | — | — |
| PPM014878 | PGS000027 (GPS_BMI) |
PSS009916| African Ancestry| 369 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Body mass index (last completed follow-up visit) | — | — | R²: 0.0256 | — | — |
| PPM014880 | PGS000027 (GPS_BMI) |
PSS009917| European Ancestry| 832 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Fasting plasma glucose (last completed follow-up visit) | β: 2.82 (0.87) | — | — | Age, sex, ancestry principal components, and baseline BMI | — |
| PPM014881 | PGS000027 (GPS_BMI) |
PSS009917| European Ancestry| 832 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Systolic blood pressure (last completed follow-up visit) | β: 1.09 (0.52) | — | — | Age, sex, ancestry principal components, and baseline BMI | — |
| PPM014882 | PGS000027 (GPS_BMI) |
PSS009917| European Ancestry| 832 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Obesity | HR: 1.26 [1.14, 1.38] | — | — | Sex, birth year, ancestry principal components, and baseline BMI | — |
| PPM014883 | PGS000027 (GPS_BMI) |
PSS009916| African Ancestry| 369 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Obesity | HR: 1.11 [0.96, 1.38] | — | — | Sex, birth year, ancestry principal components, and baseline BMI | — |
| PPM014879 | PGS000027 (GPS_BMI) |
PSS009917| European Ancestry| 832 individuals |
PGP000349 | Shi M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Body mass index (last completed follow-up visit) | β: 1.29 (0.22) | — | — | Age, sex, PCs, PRS, baseline BMI | — |
| PPM014945 | PGS000027 (GPS_BMI) |
PSS009938| European Ancestry| 6,064 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Overweight | — | — | Odds Ratio (OR, 10th vs. 1st decile): 2.74 [1.64, 4.57] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014946 | PGS000027 (GPS_BMI) |
PSS009938| European Ancestry| 6,064 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Obesity | — | — | Odds Ratio (OR, 10th vs. 1st decile): 10.04 [5.92, 17.01] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014947 | PGS000027 (GPS_BMI) |
PSS009938| European Ancestry| 6,064 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Severe obesity | — | — | Odds Ratio (OR, 10th vs. 1st decile): 53.05 [17.64, 159.54] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014948 | PGS000027 (GPS_BMI) |
PSS009937| African Ancestry| 449 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Underweight | — | — | Odds Ratio (OR, 10th vs. 1st decile): 0.0 [0.0, 0.37] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014950 | PGS000027 (GPS_BMI) |
PSS009937| African Ancestry| 449 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Obesity | — | — | Odds Ratio (OR, 10th vs. 1st decile): 5.92 [1.67, 20.96] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014951 | PGS000027 (GPS_BMI) |
PSS009937| African Ancestry| 449 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Severe obesity | — | — | Odds Ratio (OR, 10th vs. 1st decile): 19.68 [2.87, 135.02] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014949 | PGS000027 (GPS_BMI) |
PSS009937| African Ancestry| 449 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |Ext. |
Reported Trait: Overweight | — | — | Odds Ratio (OR, 10th vs. 1st decile): 3.53 [1.03, 12.09] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM016535 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Obesity | OR: 26.7 β: 3.3 (0.1) |
— | — | — | — |
| PPM016536 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Morbid obesity | OR: 77.0 β: 4.3 (0.1) |
— | — | — | — |
| PPM016537 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes | OR: 6.8 β: 1.9 (0.1) |
— | — | — | — |
| PPM016538 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes mellitus | OR: 6.4 β: 1.9 (0.1) |
— | — | — | — |
| PPM016539 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bariatric surgery | OR: 110.6 β: 4.7 (0.2) |
— | — | — | — |
| PPM016540 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sleep apnea | OR: 6.5 β: 1.9 (0.1) |
— | — | — | — |
| PPM016541 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Eating disorder | OR: 61.2 β: 4.1 (0.2) |
— | — | — | — |
| PPM016542 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Obstructive sleep apnea | OR: 5.8 β: 1.8 (0.1) |
— | — | — | — |
| PPM016543 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other chronic nonalcoholic liver disease | OR: 7.9 β: 2.1 (0.1) |
— | — | — | — |
| PPM016544 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic liver disease and cirrhosis | OR: 7.1 β: 2.0 (0.1) |
— | — | — | — |
| PPM016545 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertension | OR: 3.7 β: 1.3 (0.1) |
— | — | — | — |
| PPM016546 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Essential hypertension | OR: 3.6 β: 1.3 (0.1) |
— | — | — | — |
| PPM016548 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Insulin pump user | OR: 7.7 β: 2.0 (0.1) |
— | — | — | — |
| PPM016549 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes with neurological manifestations | OR: 7.3 β: 2.0 (0.1) |
— | — | — | — |
| PPM016550 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Polyneuropathy in diabetes | OR: 6.9 β: 1.9 (0.1) |
— | — | — | — |
| PPM016551 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 1 diabetes | OR: 5.1 β: 1.6 (0.1) |
— | — | — | — |
| PPM016552 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes with renal manifestations | OR: 6.5 β: 1.9 (0.1) |
— | — | — | — |
| PPM016553 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Edema | OR: 2.7 β: 1.0 (0.1) |
— | — | — | — |
| PPM016554 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | OR: 8.2 β: 2.1 (0.2) |
— | — | — | — |
| PPM016555 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016556 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of intestine | OR: 3.3 β: 1.2 (0.1) |
— | — | — | — |
| PPM016557 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetic retinopathy | OR: 7.2 β: 2.0 (0.2) |
— | — | — | — |
| PPM016559 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Coronary atherosclerosis | OR: 2.5 β: 0.9 (0.1) |
— | — | — | — |
| PPM016560 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute renal failure | OR: 2.9 β: 1.1 (0.1) |
— | — | — | — |
| PPM016561 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Congestive heart failure; nonhypertensive | OR: 2.7 β: 1.0 (0.1) |
— | — | — | — |
| PPM016562 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis NOS | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016563 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ischemic Heart Disease | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016564 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Renal failure | OR: 2.3 β: 0.9 (0.1) |
— | — | — | — |
| PPM016565 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Shortness of breath | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016566 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertensive heart and/or renal disease | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016567 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gout | OR: 3.3 β: 1.2 (0.1) |
— | — | — | — |
| PPM016568 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiomegaly | OR: 2.5 β: 0.9 (0.1) |
— | — | — | — |
| PPM016571 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic venous insufficiency [CVI] | OR: 3.6 β: 1.3 (0.1) |
— | — | — | — |
| PPM016572 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Panniculitis | OR: 31.2 β: 3.4 (0.4) |
— | — | — | — |
| PPM016655 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Deep vein thrombosis | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016573 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Encounter for long-term (current) use of anticoagulants | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016574 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Fluid overload | OR: 3.5 β: 1.3 (0.1) |
— | — | — | — |
| PPM016575 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Respiratory failure, insufficiency, arrest | OR: 2.6 β: 1.0 (0.1) |
— | — | — | — |
| PPM016577 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hyperlipidemia | OR: 1.9 β: 0.7 (0.1) |
— | — | — | — |
| PPM016578 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Heart failure with preserved ejection fraction [Diastolic heart failure] | OR: 3.5 β: 1.3 (0.1) |
— | — | — | — |
| PPM016579 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gout and other crystal arthropathies | OR: 2.8 β: 1.0 (0.1) |
— | — | — | — |
| PPM016595 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Mixed hyperlipidemia | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016746 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Fasciitis | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016840 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sleep apnea | OR: 1.4 β: 0.4 (0.0) |
— | — | — | — |
| PPM016841 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypercholesterolemia | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016285 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: BMI | — | — | R²: 0.0747 | — | — |
| PPM016582 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Depression | OR: 1.9 β: 0.7 (0.1) |
— | — | — | — |
| PPM016583 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes type 2 with peripheral circulatory disorders | OR: 7.0 β: 1.9 (0.2) |
— | — | — | — |
| PPM016584 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ventral hernia | OR: 5.2 β: 1.6 (0.2) |
— | — | — | — |
| PPM016585 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of lipoid metabolism | OR: 1.9 β: 0.6 (0.1) |
— | — | — | — |
| PPM016586 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Mood disorders | OR: 1.9 β: 0.6 (0.1) |
— | — | — | — |
| PPM016587 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary heart disease | OR: 2.5 β: 0.9 (0.1) |
— | — | — | — |
| PPM016588 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gastrojejunal ulcer | OR: 61.0 β: 4.1 (0.4) |
— | — | — | — |
| PPM016589 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic pulmonary heart disease | OR: 2.8 β: 1.0 (0.1) |
— | — | — | — |
| PPM016590 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dysmetabolic syndrome X | OR: 8.0 β: 2.1 (0.2) |
— | — | — | — |
| PPM016591 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Asthma | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016592 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic ulcer of skin | OR: 2.6 β: 1.0 (0.1) |
— | — | — | — |
| PPM016593 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Superficial cellulitis and abscess | OR: 1.9 β: 0.7 (0.1) |
— | — | — | — |
| PPM016597 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other venous embolism and thrombosis | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016598 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Postoperative infection | OR: 3.0 β: 1.1 (0.1) |
— | — | — | — |
| PPM016599 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Localized adiposity | OR: 13.0 β: 2.6 (0.3) |
— | — | — | — |
| PPM016600 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary collapse; interstitial and compensatory emphysema | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016601 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthritis; localized | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016602 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Respiratory failure | OR: 2.8 β: 1.0 (0.1) |
— | — | — | — |
| PPM016603 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other dyspnea | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016604 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholelithiasis and cholecystitis | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016605 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of the kidney and ureters | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016607 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrial fibrillation | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016608 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholelithiasis | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016609 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Incisional hernia | OR: 4.5 β: 1.5 (0.2) |
— | — | — | — |
| PPM016610 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bacterial infection NOS | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016611 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrial fibrillation and flutter | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016612 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis, localized, primary | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016613 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Septicemia | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016614 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other peripheral nerve disorders | OR: 1.9 β: 0.6 (0.1) |
— | — | — | — |
| PPM016615 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic ulcer of leg or foot | OR: 2.8 β: 1.0 (0.1) |
— | — | — | — |
| PPM016617 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Wheezing | OR: 2.6 β: 1.0 (0.1) |
— | — | — | — |
| PPM016618 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dependence on respirator [Ventilator] or supplemental oxygen | OR: 4.6 β: 1.5 (0.2) |
— | — | — | — |
| PPM016619 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Heart failure | OR: 2.5 β: 0.9 (0.1) |
— | — | — | — |
| PPM016620 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Swelling of limb | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016621 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic airway obstruction | OR: 1.9 β: 0.6 (0.1) |
— | — | — | — |
| PPM016622 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere | OR: 3.8 β: 1.3 (0.2) |
— | — | — | — |
| PPM016623 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary congestion and hypostasis | OR: 2.6 β: 0.9 (0.1) |
— | — | — | — |
| PPM016624 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Arthropathy | OR: 1.9 β: 0.6 (0.1) |
— | — | — | — |
| PPM016625 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Vitamin D deficiency | OR: 1.9 β: 0.6 (0.1) |
— | — | — | — |
| PPM016626 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Respiratory abnormalities | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016627 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic obstructive asthma | OR: 3.4 β: 1.2 (0.2) |
— | — | — | — |
| PPM016628 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other arthropathies | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016629 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Angina pectoris | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016630 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cellulitis and abscess of trunk | OR: 3.1 β: 1.1 (0.2) |
— | — | — | — |
| PPM016632 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Proteinuria | OR: 2.8 β: 1.0 (0.1) |
— | — | — | — |
| PPM016633 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acquired acanthosis nigricans | OR: 16.3 β: 2.8 (0.4) |
— | — | — | — |
| PPM016634 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Primary/intrinsic cardiomyopathies | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016635 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cirrhosis of liver without mention of alcohol | OR: 4.0 β: 1.4 (0.2) |
— | — | — | — |
| PPM016636 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Decubitus ulcer | OR: 3.1 β: 1.1 (0.2) |
— | — | — | — |
| PPM016637 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Iron deficiency anemias | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016638 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic Kidney Disease, Stage III | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016639 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other forms of chronic heart disease | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016640 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiomyopathy | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016641 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertensive heart disease | OR: 2.1 β: 0.8 (0.1) |
— | — | — | — |
| PPM016642 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Unstable angina (intermediate coronary syndrome) | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016643 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spinal stenosis of lumbar region | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016644 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypoventilation | OR: 3.7 β: 1.3 (0.2) |
— | — | — | — |
| PPM016646 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypercholesterolemia | OR: 1.6 β: 0.4 (0.1) |
— | — | — | — |
| PPM016647 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Candidiasis of skin and nails | OR: 3.8 β: 1.3 (0.2) |
— | — | — | — |
| PPM016648 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Obstructive chronic bronchitis | OR: 2.6 β: 1.0 (0.2) |
— | — | — | — |
| PPM016650 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 1 diabetes with neurological manifestations | OR: 4.6 β: 1.5 (0.2) |
— | — | — | — |
| PPM016656 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Iron deficiency anemias, unspecified or not due to blood loss | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016657 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Umbilical hernia | OR: 3.1 β: 1.1 (0.2) |
— | — | — | — |
| PPM016658 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Polycystic ovaries | OR: 7.0 β: 2.0 (0.3) |
— | — | — | — |
| PPM016659 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Staphylococcus infections | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016660 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Paroxysmal ventricular tachycardia | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016661 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other symptoms of respiratory system | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016662 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute bronchitis and bronchiolitis | OR: 1.7 β: 0.5 (0.1) |
— | — | — | — |
| PPM016663 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abnormal function study of cardiovascular system | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016664 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diseases of esophagus | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016666 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteomyelitis | OR: 2.9 β: 1.1 (0.2) |
— | — | — | — |
| PPM016667 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nephritis and nephropathy without mention of glomerulonephritis | OR: 2.4 β: 0.9 (0.2) |
— | — | — | — |
| PPM016668 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Renal failure | OR: 2.3 β: 0.8 (0.1) |
— | — | — | — |
| PPM016669 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other specified erythematous conditions | OR: 2.6 β: 1.0 (0.2) |
— | — | — | — |
| PPM016670 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Megaloblastic anemia | OR: 3.2 β: 1.1 (0.2) |
— | — | — | — |
| PPM016671 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic bronchitis | OR: 2.1 β: 0.8 (0.1) |
— | — | — | — |
| PPM016672 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypothyroidism | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016673 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Portal hypertension | OR: 4.8 β: 1.6 (0.3) |
— | — | — | — |
| PPM016674 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spinal stenosis | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016676 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Calcaneal spur; Exostosis | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016677 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Shock | OR: 2.7 β: 1.0 (0.2) |
— | — | — | — |
| PPM016678 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Primary pulmonary hypertension | OR: 3.3 β: 1.2 (0.2) |
— | — | — | — |
| PPM016680 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bursitis | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016681 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hyperglyceridemia | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016682 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac pacemaker/device in situ | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016683 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac defibrillator in situ | OR: 2.6 β: 1.0 (0.2) |
— | — | — | — |
| PPM016684 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Vitamin B-complex deficiencies | OR: 2.3 β: 0.8 (0.2) |
— | — | — | — |
| PPM016685 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Non-healing surgical wound | OR: 4.6 β: 1.5 (0.3) |
— | — | — | — |
| PPM016686 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Orthopnea | OR: 5.7 β: 1.7 (0.3) |
— | — | — | — |
| PPM016687 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypothyroidism | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016688 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholelithiasis with other cholecystitis | OR: 2.6 β: 0.9 (0.2) |
— | — | — | — |
| PPM016689 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gastroesophageal reflux disease | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016690 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Intestinal malabsorption (non-celiac) | OR: 3.2 β: 1.2 (0.2) |
— | — | — | — |
| PPM016691 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nephritis; nephrosis; renal sclerosis | OR: 1.9 β: 0.7 (0.1) |
— | — | — | — |
| PPM016692 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Benign neoplasm of adrenal gland | OR: 6.1 β: 1.8 (0.3) |
— | — | — | — |
| PPM016693 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Esophagitis, Gastroesophageal reflux disease and related diseases | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016694 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteomyelitis, periostitis, and other infections involving bone | OR: 2.4 β: 0.9 (0.2) |
— | — | — | — |
| PPM016695 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Infection/inflammation of internal prosthetic device; implant; and graft | OR: 2.1 β: 0.8 (0.1) |
— | — | — | — |
| PPM016696 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ill-defined descriptions and complications of heart disease | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016697 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac conduction disorders | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016699 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sleep disorders | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016700 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute pulmonary heart disease | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016701 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac pacemaker in situ | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016702 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Left bundle branch block | OR: 2.2 β: 0.8 (0.2) |
— | — | — | — |
| PPM016703 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Asthma with exacerbation | OR: 2.1 β: 0.7 (0.2) |
— | — | — | — |
| PPM016704 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dermatophytosis | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016705 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cellulitis and abscess of foot, toe | OR: 2.5 β: 0.9 (0.2) |
— | — | — | — |
| PPM016706 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other vitamin B12 deficiency anemia | OR: 3.4 β: 1.2 (0.3) |
— | — | — | — |
| PPM016707 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sinoatrial node dysfunction (Bradycardia) | OR: 2.1 β: 0.7 (0.2) |
— | — | — | — |
| PPM016708 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Malignant neoplasm of uterus | OR: 3.9 β: 1.4 (0.3) |
— | — | — | — |
| PPM016709 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Coagulation defects | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016711 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Intervertebral disc disorders | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016712 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic venous hypertension | OR: 6.1 β: 1.8 (0.4) |
— | — | — | — |
| PPM016713 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dermatophytosis of nail | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016714 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic kidney disease, Stage I or II | OR: 2.1 β: 0.8 (0.2) |
— | — | — | — |
| PPM016715 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Phlebitis and thrombophlebitis | OR: 1.9 β: 0.7 (0.1) |
— | — | — | — |
| PPM016716 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Joint effusions | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016717 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic ulcer of unspecified site | OR: 2.3 β: 0.8 (0.2) |
— | — | — | — |
| PPM016718 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other deficiency anemia | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016719 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hidradenitis | OR: 6.4 β: 1.9 (0.4) |
— | — | — | — |
| PPM016720 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pain | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016721 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Difficulty in walking | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016722 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dermatophytosis / Dermatomycosis | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016724 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abdominal hernia | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016725 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Displacement of intervertebral disc | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016726 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ovarian dysfunction | OR: 3.3 β: 1.2 (0.3) |
— | — | — | — |
| PPM016727 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Neuralgia, neuritis, and radiculitis | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016728 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Postphlebitic syndrome | OR: 6.8 β: 1.9 (0.4) |
— | — | — | — |
| PPM016729 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nonspecific chest pain | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016730 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Varicose veins of lower extremity | OR: 1.7 β: 0.5 (0.1) |
— | — | — | — |
| PPM016731 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Complication of internal orthopedic device | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016732 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary embolism and infarction, acute | OR: 1.9 β: 0.7 (0.2) |
— | — | — | — |
| PPM016733 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other hypertensive complications | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016734 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrial flutter | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016736 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Athlete’s foot | OR: 1.8 β: 0.6 (0.1) |
— | — | — | — |
| PPM016737 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholecystitis without cholelithiasis | OR: 2.2 β: 0.8 (0.2) |
— | — | — | — |
| PPM016741 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other local infections of skin and subcutaneous tissue | OR: 1.7 β: 0.5 (0.1) |
— | — | — | — |
| PPM016742 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic pain | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016743 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Arrhythmia (cardiac) NOS | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016744 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac dysrhythmias | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016745 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bronchitis | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016748 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Endometrial hyperplasia | OR: 3.3 β: 1.2 (0.3) |
— | — | — | — |
| PPM016750 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nonrheumatic aortic valve disorders | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016751 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac arrest and ventricular fibrillation | OR: 2.2 β: 0.8 (0.2) |
— | — | — | — |
| PPM016752 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dislocation | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016753 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Degeneration of intervertebral disc | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016754 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Barrett's esophagus | OR: 2.6 β: 0.9 (0.2) |
— | — | — | — |
| PPM016755 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Back pain | OR: 1.3 β: 0.2 (0.1) |
— | — | — | — |
| PPM016756 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of sweat glands | OR: 2.5 β: 0.9 (0.2) |
— | — | — | — |
| PPM016758 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atherosclerotic cardiovascular disease | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016759 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spondylosis and allied disorders | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016760 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other abnormal blood chemistry | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016761 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Restless legs syndrome | OR: 1.9 β: 0.7 (0.2) |
— | — | — | — |
| PPM016762 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Synovitis and tenosynovitis | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016763 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac arrest | OR: 2.4 β: 0.9 (0.2) |
— | — | — | — |
| PPM016764 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Symptoms and disorders of the joints | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016765 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Methicillin resistant Staphylococcus aureus | OR: 2.4 β: 0.9 (0.2) |
— | — | — | — |
| PPM016766 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hyperparathyroidism | OR: 1.9 β: 0.7 (0.2) |
— | — | — | — |
| PPM016767 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Varicose veins | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016768 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spondylosis without myelopathy | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016770 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Arthropathy associated with other disorders classified elsewhere | OR: 3.4 β: 1.2 (0.3) |
— | — | — | — |
| PPM016771 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Internal derangement of knee | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016772 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Noninfectious disorders of lymphatic channels | OR: 2.1 β: 0.7 (0.2) |
— | — | — | — |
| PPM016773 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic tonsillitis and adenoiditis | OR: 2.2 β: 0.8 (0.2) |
— | — | — | — |
| PPM016774 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Secondary/extrinsic cardiomyopathies | OR: 1.9 β: 0.6 (0.2) |
— | — | — | — |
| PPM016775 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Infective connective tissue disorders | OR: 5.2 β: 1.6 (0.5) |
— | — | — | — |
| PPM016776 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other abnormal glucose | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016777 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abnormal coagulation profile | OR: 1.7 β: 0.5 (0.2) |
— | — | — | — |
| PPM016778 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Elevated sedimentation rate | OR: 2.3 β: 0.8 (0.3) |
— | — | — | — |
| PPM016779 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spondylosis with myelopathy | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016780 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acquired foot deformities | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016781 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Adrenal hyperfunction | OR: 3.0 β: 1.1 (0.3) |
— | — | — | — |
| PPM016788 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of pancreatic internal secretion | OR: 2.3 β: 0.8 (0.3) |
— | — | — | — |
| PPM016789 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute sinusitis | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016790 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Rupture of tendon, nontraumatic | OR: 1.8 β: 0.6 (0.2) |
— | — | — | — |
| PPM016791 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hemorrhagic disorder due to intrinsic circulating anticoagulants | OR: 2.2 β: 0.8 (0.3) |
— | — | — | — |
| PPM016792 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sciatica | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016793 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Urinary incontinence | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016794 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Postlaminectomy syndrome | OR: 2.4 β: 0.9 (0.3) |
— | — | — | — |
| PPM016795 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Dysthymic disorder | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016796 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diverticulitis | OR: 1.6 β: 0.5 (0.2) |
— | — | — | — |
| PPM016798 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Precordial pain | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016799 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cushing's syndrome | OR: 3.7 β: 1.3 (0.4) |
— | — | — | — |
| PPM016800 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrioventricular block | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016801 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Urinary calculus | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016802 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypersomnia | OR: 1.8 β: 0.6 (0.2) |
— | — | — | — |
| PPM016803 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Otitis externa | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016804 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Retinal edema | OR: 2.2 β: 0.8 (0.3) |
— | — | — | — |
| PPM016805 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Myopathy | OR: 1.8 β: 0.6 (0.2) |
— | — | — | — |
| PPM016806 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cellulitis and abscess of fingers/toes | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM016808 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hirsutism | OR: 2.4 β: 0.9 (0.3) |
— | — | — | — |
| PPM016809 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Suppurative and unspecified otitis media | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016810 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abnormal electrocardiogram | OR: 1.3 β: 0.2 (0.1) |
— | — | — | — |
| PPM016811 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of soft tissues | OR: 1.6 β: 0.5 (0.2) |
— | — | — | — |
| PPM016812 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Psoriasis | OR: 1.6 β: 0.5 (0.2) |
— | — | — | — |
| PPM016813 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diaphragmatic hernia | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016814 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other symptoms involving abdomen and pelvis | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016815 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of lipoid metabolism | OR: 1.7 β: 0.5 (0.2) |
— | — | — | — |
| PPM016816 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Intervertebral disc disorder with myelopathy | OR: 2.3 β: 0.8 (0.3) |
— | — | — | — |
| PPM016817 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Psoriasis vulgaris | OR: 1.6 β: 0.5 (0.2) |
— | — | — | — |
| PPM016818 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Otitis media | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016819 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes insipidus | OR: 4.3 β: 1.5 (0.6) |
— | — | — | — |
| PPM016820 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pilonidal cyst | OR: 3.7 β: 1.3 (0.5) |
— | — | — | — |
| PPM016822 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acquired spondylolisthesis | OR: 1.6 β: 0.4 (0.2) |
— | — | — | — |
| PPM016823 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Rotator cuff (capsule) sprain | OR: 1.5 β: 0.4 (0.2) |
— | — | — | — |
| PPM016824 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Posttraumatic stress disorder | OR: 1.9 β: 0.6 (0.2) |
— | — | — | — |
| PPM016825 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other nondiabetic retinopathy | OR: 1.7 β: 0.5 (0.2) |
— | — | — | — |
| PPM016826 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other alveolar and parietoalveolar pneumonopathy | OR: 2.0 β: 0.7 (0.3) |
— | — | — | — |
| PPM016827 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Peripheral enthesopathies and allied syndromes | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM016828 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Major depressive disorder | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016829 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Personality disorders | OR: 1.7 β: 0.5 (0.2) |
— | — | — | — |
| PPM016843 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sleep disorders | OR: 1.3 β: 0.3 (0.0) |
— | — | — | — |
| PPM016844 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other peripheral nerve disorders | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016845 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholelithiasis and cholecystitis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016846 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016847 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other chronic ischemic heart disease, unspecified | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016848 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis, localized, primary | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016849 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholelithiasis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016850 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic airway obstruction | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016851 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Angina pectoris | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016852 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Renal failure | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016854 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypothyroidism | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016855 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac dysrhythmias | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016856 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Myocardial infarction | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016857 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Coronary atherosclerosis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016858 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrial fibrillation and flutter | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016859 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis, generalized | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016860 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic renal failure | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016861 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bacterial infection | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016863 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 1 diabetes | OR: 1.3 β: 0.3 (0.0) |
— | — | — | — |
| PPM016864 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Esophagitis, GERD and related diseases | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016865 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute renal failure | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016866 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic ulcer of leg or foot | OR: 1.5 β: 0.4 (0.0) |
— | — | — | — |
| PPM016867 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diseases of esophagus | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016868 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholelithiasis with other cholecystitis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016869 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Umbilical hernia | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016871 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Shortness of breath | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016872 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other symptoms of respiratory system | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016873 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diaphragmatic hernia | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016874 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes with neurological manifestations | OR: 1.7 β: 0.5 (0.0) |
— | — | — | — |
| PPM016875 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of intestine | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016876 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic ulcer of skin | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016877 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic liver disease and cirrhosis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016878 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Respiratory failure | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016879 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary heart disease | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016880 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic bronchitis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016882 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Unstable angina (intermediate coronary syndrome) | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016883 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Major depressive disorder | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016884 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Depression | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016885 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic Kidney Disease, Stage III | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016886 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Heart failure NOS | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016887 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiomegaly | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016888 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Obstructive chronic bronchitis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016889 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetic retinopathy | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016981 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Respiratory abnormalities | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016890 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other chronic nonalcoholic liver disease | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016891 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abdominal hernia | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016893 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gout | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016894 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes with ophthalmic manifestations | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016895 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gout and other crystal arthropathies | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016896 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: GERD | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016897 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Postoperative infection | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016898 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Iron deficiency anemias | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016899 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Staphylococcus infections | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016900 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spondylosis and allied disorders | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016901 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ventral hernia | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016902 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Mood disorders | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016903 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Edema | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016904 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spondylosis without myelopathy | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016905 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Intervertebral disc disorders | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016906 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Congestive heart failure | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016908 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute pulmonary heart disease | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016909 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cholecystitis without cholelithiasis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016910 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes type 2 with peripheral circulatory disorders | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016911 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Psoriasis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016912 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of synovium, tendon, and bursa | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016913 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spinal stenosis | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016914 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Psoriasis vulgaris | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016915 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016916 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Precordial pain | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016917 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nonspecific chest pain | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016918 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Back pain | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016919 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nonrheumatic aortic valve disorders | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016922 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Degeneration of intervertebral disc | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016923 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Symptoms and disorders of the joints | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016924 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Septicemia | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016926 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Peritoneal adhesions (postoperative) (postinfection) | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016927 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other local infections of skin and subcutaneous tissue | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016928 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Superficial cellulitis and abscess | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016929 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertensive chronic kidney disease | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016930 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Varicose veins of lower extremity | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016931 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Phlebitis and thrombophlebitis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016932 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Varicose veins | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016933 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Urinary incontinence | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016935 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypoventilation | OR: 2.0 β: 0.7 (0.1) |
— | — | — | — |
| PPM016936 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Liver abscess and sequelae of chronic liver disease | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016937 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other forms of chronic heart disease | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016938 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of sweat glands | OR: 1.3 β: 0.3 (0.0) |
— | — | — | — |
| PPM016939 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac conduction disorders | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016940 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hidradenitis | OR: 1.7 β: 0.5 (0.1) |
— | — | — | — |
| PPM016941 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Noninfectious disorders of lymphatic channels | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016942 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other deficiency anemia | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016943 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Megaloblastic anemia | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016944 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Varicose veins of lower extremity, symptomtic | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016945 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic pulmonary heart disease | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016946 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Calcaneal spur; Exostosis NOS | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016948 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiomyopathy | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016949 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Displacement of intervertebral disc | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016950 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Urinary calculus | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016951 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Primary/intrinsic cardiomyopathies | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016952 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Rupture of tendon, nontraumatic | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016953 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abnormal glucose | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016954 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Vitamin deficiency | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016955 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of pancreatic internal secretion | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016956 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other specified erythematous conditions | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016957 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypoglycemia | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016958 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Synovitis and tenosynovitis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016959 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sciatica | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016961 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Incisional hernia | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016962 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Vitamin B-complex deficiencies | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016963 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Fluid overload | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016964 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Renal failure NOS | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016965 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acquired foot deformities | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016966 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ingrowing nail | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016967 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acquired spondylolisthesis | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016968 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Malignant neoplasm of uterus | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016969 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other alveolar and parietoalveolar pneumonopathy | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016970 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Nephritis; nephrosis; renal sclerosis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016971 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bundle branch block | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016972 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrioventricular block | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016973 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Otitis externa | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016975 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Difficulty in walking | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016976 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary collapse; interstitial and compensatory emphysema | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016977 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cirrhosis of liver without mention of alcohol | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016978 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Decubitus ulcer | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016979 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cellulitis and abscess of trunk | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016982 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Polycystic ovaries | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016984 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic venous insufficiency | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016985 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other venous embolism and thrombosis | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016986 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Mixed hyperlipidemia | OR: 1.4 β: 0.4 (0.1) |
— | — | — | — |
| PPM016987 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of the kidney and ureters | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016988 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Barrett's esophagus | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016989 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other abnormal blood chemistry | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM016990 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other arthropathies | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016991 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other abnormal glucose | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM016992 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Complication of internal orthopedic device | OR: 1.3 β: 0.2 (0.1) |
— | — | — | — |
| PPM016993 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of soft tissues | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016994 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pilonidal cyst | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM016996 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Localized adiposity | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016997 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Benign neoplasm of other endocrine glands and related structures | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016998 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac arrest and ventricular fibrillation | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016999 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ovarian dysfunction | OR: 1.3 β: 0.2 (0.1) |
— | — | — | — |
| PPM017000 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Swelling of limb | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM017001 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 1 diabetes with neurological manifestations | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM017002 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes type 1 with peripheral circulatory disorders | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM017003 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Benign neoplasm of adrenal gland | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM017004 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Wheezing | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017005 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Disorders of adrenal glands | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017006 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Portal hypertension | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM017007 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteomyelitis | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017008 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Suppurative and unspecified otitis media | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017009 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteomyelitis, periostitis, and other infections involving bone | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017010 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cardiac arrest | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017011 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Endometrial hyperplasia | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017012 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Left bundle branch block | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017013 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Acute and chronic tonsillitis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017014 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Arthropathy associated with neurological disorders | OR: 1.5 β: 0.4 (0.1) |
— | — | — | — |
| PPM017015 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Otitis media | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017016 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Atrial fibrillation | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017017 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sinoatrial node dysfunction (Bradycardia) | OR: 1.1 β: 0.1 (0.1) |
— | — | — | — |
| PPM017018 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cancer of kidney and renal pelvis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017019 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Infective connective tissue disorders | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM017020 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other symptoms involving abdomen and pelvis | OR: 1.0 β: 0.0 (0.0) |
— | — | — | — |
| PPM017021 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bronchitis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017022 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic tonsillitis and adenoiditis | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM017024 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Flat foot | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017025 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Myopathy | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017026 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gouty arthropathy | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017027 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bariatric surgery | OR: 1.6 β: 0.4 (0.2) |
— | — | — | — |
| PPM017028 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Coagulation defects | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016534 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Overweight, obesity and other hyperalimentation | OR: 16.4 β: 2.8 (0.1) |
— | — | — | — |
| PPM016547 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Gastrointestinal complications | OR: 12.3 β: 2.5 (0.1) |
— | — | — | — |
| PPM016558 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Congestive heart failure (CHF) NOS | OR: 2.9 β: 1.1 (0.1) |
— | — | — | — |
| PPM016569 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Abnormal weight gain | OR: 3.8 β: 1.3 (0.1) |
— | — | — | — |
| PPM016576 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cellulitis and abscess of leg, except foot | OR: 3.2 β: 1.2 (0.1) |
— | — | — | — |
| PPM016580 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic renal failure [ | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016581 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertensive chronic kidney disease | OR: 2.4 β: 0.9 (0.1) |
— | — | — | — |
| PPM016594 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Heart failure with reduced ejection fraction [Systolic or combined heart failure] | OR: 3.0 β: 1.1 (0.1) |
— | — | — | — |
| PPM016606 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other chronic ischemic heart disease, unspecified | OR: 2.2 β: 0.8 (0.1) |
— | — | — | — |
| PPM016616 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Encounter for long-term (current) use of anticoagulants, antithrombotics, aspirin | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016631 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Encounter for long-term (current) use of aspirin | OR: 2.1 β: 0.7 (0.1) |
— | — | — | — |
| PPM016645 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic Kidney Disease, Stage IV | OR: 2.7 β: 1.0 (0.2) |
— | — | — | — |
| PPM016654 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Liver abscess and sequelae of chronic liver disease | OR: 3.7 β: 1.3 (0.2) |
— | — | — | — |
| PPM016665 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Peritoneal adhesions (postoperative) (postinfection) | OR: 3.2 β: 1.2 (0.2) |
— | — | — | — |
| PPM016675 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Bundle branch block | OR: 1.9 β: 0.7 (0.1) |
— | — | — | — |
| PPM016679 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Osteoarthrosis involving more than one site, but not specified as generalized | OR: 2.5 β: 0.9 (0.2) |
— | — | — | — |
| PPM016698 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Arthropathy associated with neurological disorders | OR: 8.6 β: 2.2 (0.4) |
— | — | — | — |
| PPM016710 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hereditary and idiopathic peripheral neuropathy | OR: 1.7 β: 0.5 (0.1) |
— | — | — | — |
| PPM016723 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Thoracic or lumbosacral neuritis or radiculitis, unspecified | OR: 1.6 β: 0.5 (0.1) |
— | — | — | — |
| PPM016735 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Varicose veins of lower extremity, symptomatic | OR: 1.9 β: 0.7 (0.2) |
— | — | — | — |
| PPM016749 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Phlebitis and thrombophlebitis of lower extremities | OR: 2.0 β: 0.7 (0.2) |
— | — | — | — |
| PPM016757 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Sleep related movement disorders | OR: 1.8 β: 0.6 (0.2) |
— | — | — | — |
| PPM016769 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Other disorders of synovium, tendon, and bursa | OR: 1.3 β: 0.3 (0.1) |
— | — | — | — |
| PPM016782 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Diabetes type 1 with peripheral circulatory disorders | OR: 3.9 β: 1.4 (0.4) |
— | — | — | — |
| PPM016797 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cancer of kidney and renal pelvis | OR: 1.9 β: 0.7 (0.2) |
— | — | — | — |
| PPM016807 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Benign neoplasm of other endocrine glands and related structures | OR: 1.7 β: 0.6 (0.2) |
— | — | — | — |
| PPM016821 | PGS000027 (GPS_BMI) |
PSS010097| Multi-ancestry (including European)| 405,432 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016834 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Overweight, obesity and other hyperalimentation | OR: 1.8 β: 0.6 (0.0) |
— | — | — | — |
| PPM016842 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Ischemic Heart Disease | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016853 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypothyroidism NOS | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016862 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Internal derangement of knee | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016870 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Congestive heart failure; nonhypertensive | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016881 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Respiratory failure, insufficiency, arrest | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016892 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Iron deficiency anemias, unspecified or not due to blood loss | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016907 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Pulmonary embolism and infarction, acute | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016920 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Peripheral enthesopathies and allied syndromes | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016921 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Spinal stenosis of lumbar region | OR: 1.2 β: 0.1 (0.0) |
— | — | — | — |
| PPM016925 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hypertensive heart and/or renal disease | OR: 1.2 β: 0.2 (0.0) |
— | — | — | — |
| PPM016934 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Phlebitis and thrombophlebitis of lower extremities | OR: 1.3 β: 0.2 (0.0) |
— | — | — | — |
| PPM016947 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Thoracic or lumbosacral neuritis or radiculitis, unspecified | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM016960 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Type 2 diabetes with renal manifestations | OR: 1.4 β: 0.3 (0.1) |
— | — | — | — |
| PPM016974 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Primary pulmonary hypertension | OR: 1.3 β: 0.2 (0.1) |
— | — | — | — |
| PPM016983 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Chronic Kidney Disease, Stage IV | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM016995 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Hereditary and idiopathic peripheral neuropathy | OR: 1.2 β: 0.2 (0.1) |
— | — | — | — |
| PPM017023 | PGS000027 (GPS_BMI) |
PSS010096| Multi-ancestry (including European)| 65,174 individuals |
PGP000416 | Robinson JR et al. Obesity (Silver Spring) (2022) |Ext. |
Reported Trait: Cellulitis and abscess of fingers/toes | OR: 1.1 β: 0.1 (0.0) |
— | — | — | — |
| PPM021773 | PGS000027 (GPS_BMI) |
PSS011792| Multi-ancestry (including European)| 236 individuals |
PGP000677 | Renier TJ et al. Int J Obes (Lond) (2023) |Ext. |
Reported Trait: BMI in children | HR: 0.33 [0.2, 0.45] | — | — | Age, sex, ancestry, parent education, and study | — |
| PPM022495 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Waist circumference | β: 0.23 [0.21, 0.25] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022496 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: BMI | β: 0.29 [0.27, 0.32] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022497 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Body fat percentage | β: 0.21 [0.19, 0.23] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022501 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Waist circumference x Fruits interaction | β: 0.02 [0.0, 0.04] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022502 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Waist circumference x Sugar-sweetened beverages interaction | β: -0.02 [-0.04, 0.0] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022503 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: BMI x Unhealthy PDI interaction | β: -0.02 [-0.05, 0.0] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022504 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: BMI x Fruits interaction | β: 0.03 [0.0, 0.05] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022505 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: BMI x Vegetables interaction | β: 0.03 [0.01, 0.05] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022506 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: BMI x Sugar-sweetened beverages interaction | β: -0.03 [-0.05, -0.01] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022507 | PGS000027 (GPS_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Body fat percentage x Sugar-sweetened beverages interaction | β: -0.02 [-0.04, 0.0] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM000072 | PGS000034 (GRS_BMI) |
PSS000050| European Ancestry| 5,640 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.17 [0.03, 0.31] | — | — |
| PPM000071 | PGS000034 (GRS_BMI) |
PSS000048| European Ancestry| 5,956 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.54 [0.38, 0.71] | — | — |
| PPM000073 | PGS000034 (GRS_BMI) |
PSS000051| European Ancestry| 2,942 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): -0.22 [-0.39, -0.05] | — | — |
| PPM000074 | PGS000034 (GRS_BMI) |
PSS000049| European Ancestry| 6,705 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.6 [0.42, 0.77] | — | — |
| PPM000075 | PGS000034 (GRS_BMI) |
PSS000052| European Ancestry| 6,436 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.07 [-0.04, 0.19] | — | — |
| PPM000076 | PGS000034 (GRS_BMI) |
PSS000045| European Ancestry| 1,699 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): 0.23 [0.02, 0.44] | — | — |
| PPM000077 | PGS000034 (GRS_BMI) |
PSS000046| European Ancestry| 1,634 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): -0.1 [-0.29, 0.09] | — | — |
| PPM000078 | PGS000034 (GRS_BMI) |
PSS000047| European Ancestry| 2,020 individuals |
PGP000021 | Song M et al. Diabetes (2017) |
Reported Trait: mean BMI difference | — | — | β (per 10-allele increment): -0.01 [-0.16, 0.14] | — | — |
| PPM021770 | PGS000034 (GRS_BMI) |
PSS011792| Multi-ancestry (including European)| 236 individuals |
PGP000677 | Renier TJ et al. Int J Obes (Lond) (2023) |Ext. |
Reported Trait: BMI in children | HR: 0.23 [0.12, 0.35] | — | — | Age, sex, ancestry, parent education, and study | — |
| PPM000791 | PGS000298 (GRS941_BMI) |
PSS000369| European Ancestry| 334 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0671 | Sex, age | — |
| PPM000792 | PGS000298 (GRS941_BMI) |
PSS000370| European Ancestry| 329 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.057 | Sex, age | — |
| PPM000793 | PGS000298 (GRS941_BMI) |
PSS000371| European Ancestry| 288 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0886 | Sex, age | — |
| PPM000794 | PGS000298 (GRS941_BMI) |
PSS000372| European Ancestry| 265 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.092 | Sex, age | — |
| PPM000795 | PGS000298 (GRS941_BMI) |
PSS000373| European Ancestry| 245 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.1194 | Sex, age | — |
| PPM000763 | PGS000298 (GRS941_BMI) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0647 | Sex, age | — |
| PPM000764 | PGS000298 (GRS941_BMI) |
PSS000377| European Ancestry| 1,174 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0655 | Sex, age | — |
| PPM000765 | PGS000298 (GRS941_BMI) |
PSS000378| European Ancestry| 1,095 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0591 | Sex, age | — |
| PPM000762 | PGS000298 (GRS941_BMI) |
PSS000375| European Ancestry| 1,313 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0612 | Sex, age | — |
| PPM000761 | PGS000298 (GRS941_BMI) |
PSS000374| European Ancestry| 1,318 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Body mass index (kg/m2) | — | — | R²: 0.0579 | Sex, age | — |
| PPM000766 | PGS000299 (GRS462_WHRadjBMI) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Waist-to-hip ratio | — | — | R²: 0.0138 | Sex, age, age^2, BMI | — |
| PPM000767 | PGS000299 (GRS462_WHRadjBMI) |
PSS000377| European Ancestry| 1,174 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Waist-to-hip ratio | — | — | R²: 0.0141 | Sex, age, age^2, BMI | — |
| PPM000768 | PGS000299 (GRS462_WHRadjBMI) |
PSS000378| European Ancestry| 1,095 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Waist-to-hip ratio | — | — | R²: 0.0195 | Sex, age, age^2, BMI | — |
| PPM000796 | PGS000299 (GRS462_WHRadjBMI) |
PSS000371| European Ancestry| 288 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Waist-to-hip ratio | — | — | R²: 0.01 | Sex, age, age^2, BMI | — |
| PPM000797 | PGS000299 (GRS462_WHRadjBMI) |
PSS000372| European Ancestry| 265 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Waist-to-hip ratio | — | — | R²: 0.017 | Sex, age, age^2, BMI | — |
| PPM000798 | PGS000299 (GRS462_WHRadjBMI) |
PSS000373| European Ancestry| 245 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Waist-to-hip ratio | — | — | R²: 0.0156 | Sex, age, age^2, BMI | — |
| PPM000860 | PGS000320 (PRS_BMI) |
PSS000411| European Ancestry| 104 individuals |
PGP000096 | Chami N et al. PLoS Med (2020) |
Reported Trait: Body mass index (BMI; kg/m^2) in MC4R carriers | — | — | Higher PRS in obese vs. normal weight MC4R mutation carriers (p-value): 1.70e-06 | age, sex, 10 genetic PCs | — |
| PPM000859 | PGS000320 (PRS_BMI) |
PSS000412| European Ancestry| 256,770 individuals |
PGP000096 | Chami N et al. PLoS Med (2020) |
Reported Trait: Body mass index (BMI; kg/m^2) in MC4R non-carriers | — | — | Higher PRS in obese vs. normal weight MC4R non-carriers (p-value): 2.00e-16 | age, sex, 10 genetic PCs | — |
| PPM000858 | PGS000320 (PRS_BMI) |
PSS000413| European Ancestry| 451,508 individuals |
PGP000096 | Chami N et al. PLoS Med (2020) |
Reported Trait: Body mass index (BMI; kg/m^2) | β: 1.29 | — | R²: 0.0676 | age, sex, 10 genetic PCs | — |
| PPM001708 | PGS000716 (PGS295_elbs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.569 [0.564, 0.574] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001709 | PGS000716 (PGS295_elbs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.656 [0.626, 0.686] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001710 | PGS000716 (PGS295_elbs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.623 [0.589, 0.657] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001711 | PGS000716 (PGS295_elbs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.601 [0.589, 0.612] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001712 | PGS000716 (PGS295_elbs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.591 [0.582, 0.6] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001713 | PGS000716 (PGS295_elbs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.568 [0.563, 0.573] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001707 | PGS000716 (PGS295_elbs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.618 [0.594, 0.641] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001687 | PGS000716 (PGS295_elbs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.619 [0.596, 0.643] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001688 | PGS000716 (PGS295_elbs) |
PSS000881| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 24-29.9 | — | AUROC: 0.602 [0.585, 0.618] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001689 | PGS000716 (PGS295_elbs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.569 [0.564, 0.574] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001690 | PGS000716 (PGS295_elbs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.658 [0.628, 0.687] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001691 | PGS000716 (PGS295_elbs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.624 [0.589, 0.658] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001692 | PGS000716 (PGS295_elbs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.602 [0.59, 0.613] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001693 | PGS000716 (PGS295_elbs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.591 [0.582, 0.6] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001633 | PGS000716 (PGS295_elbs) |
PSS000849| European Ancestry| 5,898 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Childhood body mass index | — | AUROC: 0.64 | — | — | — |
| PPM001635 | PGS000716 (PGS295_elbs) |
PSS000847| European Ancestry| 3,997 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adolescent body mass index | — | AUROC: 0.63 | — | — | — |
| PPM001637 | PGS000716 (PGS295_elbs) |
PSS000848| European Ancestry| 2,199 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adult body mass index | — | AUROC: 0.57 | — | — | — |
| PPM001705 | PGS000716 (PGS295_elbs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.739 [0.667, 0.811] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001706 | PGS000716 (PGS295_elbs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.66 [0.566, 0.754] | — | — | Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included. |
| PPM001685 | PGS000716 (PGS295_elbs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.735 [0.663, 0.806] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001686 | PGS000716 (PGS295_elbs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.672 [0.577, 0.766] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001694 | PGS000716 (PGS295_elbs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.568 [0.563, 0.573] | — | — | Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM021771 | PGS000716 (PGS295_elbs) |
PSS011792| Multi-ancestry (including European)| 236 individuals |
PGP000677 | Renier TJ et al. Int J Obes (Lond) (2023) |Ext. |
Reported Trait: BMI in children | HR: 0.23 [0.11, 0.34] | — | — | Age, sex, ancestry, parent education, and study | — |
| PPM001714 | PGS000717 (PGS557_albs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.664 [0.574, 0.753] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001715 | PGS000717 (PGS557_albs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.691 [0.589, 0.793] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001716 | PGS000717 (PGS557_albs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.624 [0.601, 0.646] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001717 | PGS000717 (PGS557_albs) |
PSS000881| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 24-29.9 | — | AUROC: 0.623 [0.607, 0.639] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001719 | PGS000717 (PGS557_albs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.587 [0.556, 0.618] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001720 | PGS000717 (PGS557_albs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.615 [0.58, 0.649] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001722 | PGS000717 (PGS557_albs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.598 [0.589, 0.607] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001723 | PGS000717 (PGS557_albs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.582 [0.578, 0.587] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001718 | PGS000717 (PGS557_albs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.597 [0.591, 0.602] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001695 | PGS000717 (PGS557_albs) |
PSS000875| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 12-15.9 | — | AUROC: 0.66 [0.57, 0.75] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001696 | PGS000717 (PGS557_albs) |
PSS000877| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 16-17.9 | — | AUROC: 0.661 [0.551, 0.77] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001699 | PGS000717 (PGS557_albs) |
PSS000883| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 30-69.9 | — | AUROC: 0.6 [0.595, 0.605] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001634 | PGS000717 (PGS557_albs) |
PSS000849| European Ancestry| 5,898 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Childhood body mass index | — | AUROC: 0.61 | — | — | — |
| PPM001636 | PGS000717 (PGS557_albs) |
PSS000847| European Ancestry| 3,997 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adolescent body mass index | — | AUROC: 0.63 | — | — | — |
| PPM001638 | PGS000717 (PGS557_albs) |
PSS000848| European Ancestry| 2,199 individuals |
PGP000132 | Richardson TG et al. BMJ (2020) |
Reported Trait: Adult body mass index | — | AUROC: 0.6 | — | — | — |
| PPM001702 | PGS000717 (PGS557_albs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.595 [0.583, 0.607] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001703 | PGS000717 (PGS557_albs) |
PSS000882| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 14-29.9 | — | AUROC: 0.602 [0.593, 0.611] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001704 | PGS000717 (PGS557_albs) |
PSS000884| European Ancestry| 62,541 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 30-69.9 | — | AUROC: 0.585 [0.58, 0.589] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001721 | PGS000717 (PGS557_albs) |
PSS000880| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 18-23.9 | — | AUROC: 0.592 [0.58, 0.604] | — | — | Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included. |
| PPM001697 | PGS000717 (PGS557_albs) |
PSS000879| European Ancestry| 12,179 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 18-23.9 | — | AUROC: 0.629 [0.606, 0.652] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001698 | PGS000717 (PGS557_albs) |
PSS000881| European Ancestry| 17,139 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Obesity in individuals aged 24-29.9 | — | AUROC: 0.627 [0.611, 0.643] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001700 | PGS000717 (PGS557_albs) |
PSS000876| European Ancestry| 3,124 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 12-15.9 | — | AUROC: 0.591 [0.559, 0.623] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM001701 | PGS000717 (PGS557_albs) |
PSS000878| European Ancestry| 2,896 individuals |
PGP000140 | Brandkvist M et al. Hum Mol Genet (2020) |Ext. |
Reported Trait: Overweight in individuals aged 16-17.9 | — | AUROC: 0.618 [0.583, 0.653] | — | — | Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project. |
| PPM021772 | PGS000717 (PGS557_albs) |
PSS011792| Multi-ancestry (including European)| 236 individuals |
PGP000677 | Renier TJ et al. Int J Obes (Lond) (2023) |Ext. |
Reported Trait: BMI in children | HR: 0.12 [0.0, 0.24] | — | — | Age, sex, ancestry, parent education, and study | — |
| PPM001987 | PGS000770 (PRS231) |
PSS000992| European Ancestry| 177 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity | — | — | Odds Ratio (OR_Trend): 1.19 [1.06, 1.33] | Age, sex, random effect (family relatedness) | — |
| PPM001988 | PGS000770 (PRS231) |
PSS000991| European Ancestry| 141 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity | — | — | Odds Ratio (OR_Trend): 1.12 [1.01, 1.25] | Age, sex, random effect (family relatedness) | — |
| PPM001989 | PGS000770 (PRS231) |
PSS000992| European Ancestry| 177 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity prevalence | — | AUROC: 0.661 | — | Bootstrapping (n=1000) | — |
| PPM001990 | PGS000770 (PRS231) |
PSS000991| European Ancestry| 141 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity prevalence | — | AUROC: 0.619 | — | Bootstrapping (n=1000) | — |
| PPM001991 | PGS000770 (PRS231) |
PSS000992| European Ancestry| 177 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity prevalence | — | AUROC: 0.127 [0.04, 0.22] | — | Age, sex, bootstrapping (n=1000) | — |
| PPM001992 | PGS000770 (PRS231) |
PSS000992| European Ancestry| 177 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity prevalence | — | — | Odds Ratio (OR, top 20% vs bottom 20%): 4.77 [1.54, 16.99] | Age, sex, random effect (family relatedness) | — |
| PPM001993 | PGS000770 (PRS231) |
PSS000992| European Ancestry| 177 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity prevalence | — | — | Odds Ratio (OR, middle 40-60% vs bottom 20%): 3.46 [1.11, 12.31] | Age, sex, random effect (family relatedness) | — |
| PPM001994 | PGS000770 (PRS231) |
PSS000991| European Ancestry| 141 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Obesity prevalence | — | — | Odds Ratio (OR, middle 60-80% vs bottom 20%): 3.79 [1.07, 15.86] | Age, sex, random effect (family relatedness) | — |
| PPM001995 | PGS000770 (PRS231) |
PSS000992| European Ancestry| 177 individuals |
PGP000177 | de Toro-Martín J et al. Front Genet (2019) |
Reported Trait: Body mass index | β: 0.33 | — | R²: 0.032 | Sex, age | — |
| PPM002236 | PGS000829 (BMI_PGS_M) |
PSS001083| Multi-ancestry (including European)| 2,531 individuals |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Reported Trait: Body mass index (male) | — | — | R²: 0.017 | Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor | — |
| PPM002235 | PGS000830 (BMI_PGS_F) |
PSS001083| Multi-ancestry (including European)| 2,531 individuals |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Reported Trait: Body mass index (female) | — | — | R²: 0.027 | Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor | — |
| PPM002288 | PGS000841 (BMI) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.14 [1.03, 1.26] | — | — | PC1-10 | — |
| PPM002289 | PGS000841 (BMI) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.15 [1.07, 1.23] | — | — | PC1-10 | — |
| PPM002290 | PGS000841 (BMI) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.23 [1.14, 1.32] | — | — | PC1-10 | — |
| PPM002291 | PGS000841 (BMI) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.29 [1.21, 1.38] | — | — | PC1-10 | — |
| PPM002292 | PGS000841 (BMI) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.05 [0.99, 1.1] | — | — | PC1-10 | — |
| PPM020165 | PGS000841 (BMI) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.26 [1.12, 1.42] | — | — | sex | — |
| PPM020180 | PGS000841 (BMI) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: BMI | β: 0.15427 (0.027228) | — | — | — | — |
| PPM020185 | PGS000841 (BMI) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.27 [1.1, 1.47] | — | — | sex | — |
| PPM020197 | PGS000841 (BMI) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.31 [1.12, 1.53] | — | — | sex | — |
| PPM020208 | PGS000841 (BMI) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 0.79 [0.65, 0.97] | — | — | sex | — |
| PPM002293 | PGS000842 (WHR) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.13 [1.02, 1.25] | — | — | PC1-10 | — |
| PPM002295 | PGS000842 (WHR) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002296 | PGS000842 (WHR) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.1 [1.03, 1.18] | — | — | PC1-10 | — |
| PPM002297 | PGS000842 (WHR) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.03 [0.98, 1.08] | — | — | PC1-10 | — |
| PPM002294 | PGS000842 (WHR) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM020166 | PGS000842 (WHR) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.17 [1.04, 1.32] | — | — | sex | — |
| PPM020181 | PGS000842 (WHR) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: BMI | β: 0.05687 (0.027539) | — | — | — | — |
| PPM020186 | PGS000842 (WHR) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.22 [1.06, 1.41] | — | — | sex | — |
| PPM002298 | PGS000843 (WHRadjBMI) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.19 [1.08, 1.31] | — | — | PC1-10 | — |
| PPM002299 | PGS000843 (WHRadjBMI) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM002300 | PGS000843 (WHRadjBMI) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.15 [1.07, 1.24] | — | — | PC1-10 | — |
| PPM002301 | PGS000843 (WHRadjBMI) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.03 [0.96, 1.1] | — | — | PC1-10 | — |
| PPM002302 | PGS000843 (WHRadjBMI) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.05 [0.99, 1.1] | — | — | PC1-10 | — |
| PPM002930 | PGS000910 (PRS_BMI) |
PSS001433| European Ancestry| 5,719 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Sertraline takers | OR: 1.27 [1.19, 1.35] | — | Variance explained (Nagelkerke's R2*100): 1.57 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002931 | PGS000910 (PRS_BMI) |
PSS001429| European Ancestry| 4,365 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Escitalopram takers | OR: 1.22 [1.14, 1.31] | — | Variance explained (Nagelkerke's R2*100): 1.17 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002932 | PGS000910 (PRS_BMI) |
PSS001434| European Ancestry| 3,967 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Venlafaxine takers | OR: 1.23 [1.14, 1.32] | — | Variance explained (Nagelkerke's R2*100): 1.28 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002933 | PGS000910 (PRS_BMI) |
PSS001425| European Ancestry| 1,657 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Amitriptyline takers | OR: 1.27 [1.13, 1.42] | — | Variance explained (Nagelkerke's R2*100): 1.74 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002935 | PGS000910 (PRS_BMI) |
PSS001427| European Ancestry| 2,524 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Desvenlafaxine takers | OR: 1.24 [1.13, 1.36] | — | Variance explained (Nagelkerke's R2*100): 1.36 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002936 | PGS000910 (PRS_BMI) |
PSS001426| European Ancestry| 2,585 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Citalopram takers | OR: 1.39 [1.26, 1.53] | — | Variance explained (Nagelkerke's R2*100): 2.83 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002937 | PGS000910 (PRS_BMI) |
PSS001430| European Ancestry| 3,670 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Fluoxetine takers | OR: 1.3 [1.2, 1.4] | — | Variance explained (Nagelkerke's R2*100): 1.87 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002938 | PGS000910 (PRS_BMI) |
PSS001428| European Ancestry| 1,995 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Duloxetine takers | OR: 1.21 [1.1, 1.34] | — | Variance explained (Nagelkerke's R2*100): 1.26 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002934 | PGS000910 (PRS_BMI) |
PSS001431| European Ancestry| 1,987 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Mirtazapine takers | OR: 1.21 [1.1, 1.33] | — | Variance explained (Nagelkerke's R2*100): 1.23 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002939 | PGS000910 (PRS_BMI) |
PSS001432| European Ancestry| 1,580 individuals |
PGP000238 | Campos AI et al. Commun Med (Lond) (2021) |
Reported Trait: Weight gain in Paroxetine takers | OR: 1.19 [1.06, 1.33] | — | Variance explained (Nagelkerke's R2*100): 0.84 | sex, age at study enrollment, genetic PCs 1-20 | — |
| PPM002993 | PGS000921 (PRS_BMI) |
PSS001456| European Ancestry| 5,179 individuals |
PGP000243 | Borisevich D et al. PLoS One (2021) |
Reported Trait: Body mass index | β: 1.7 kg/m2 | — | R²: 0.162 R2 (linear regression BMI ~ 1 + PRS): 0.131 |
age, sex | — |
| PPM007665 | PGS000969 (GBE_INI20015) |
PSS004888| European Ancestry| 24,825 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sitting height | — | — | R²: 0.55998 [0.5518, 0.56815] Incremental R2 (full-covars): 0.12693 PGS R2 (no covariates): 0.13335 [0.12549, 0.14121] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007666 | PGS000969 (GBE_INI20015) |
PSS004889| South Asian Ancestry| 7,645 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sitting height | — | — | R²: 0.52117 [0.50586, 0.53647] Incremental R2 (full-covars): 0.06153 PGS R2 (no covariates): 0.07384 [0.0627, 0.08499] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007667 | PGS000969 (GBE_INI20015) |
PSS004890| European Ancestry| 67,301 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sitting height | — | — | R²: 0.56224 [0.55729, 0.5672] Incremental R2 (full-covars): 0.12957 PGS R2 (no covariates): 0.1276 [0.1229, 0.1323] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007663 | PGS000969 (GBE_INI20015) |
PSS004886| African Ancestry| 6,403 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sitting height | — | — | R²: 0.3682 [0.34957, 0.38684] Incremental R2 (full-covars): 0.01039 PGS R2 (no covariates): 0.02603 [0.01839, 0.03367] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007664 | PGS000969 (GBE_INI20015) |
PSS004887| East Asian Ancestry| 1,698 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sitting height | — | — | R²: 0.49052 [0.45671, 0.52434] Incremental R2 (full-covars): 0.04748 PGS R2 (no covariates): 0.07798 [0.05358, 0.10237] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007773 | PGS001002 (GBE_INI23102) |
PSS005051| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.59835 [0.58325, 0.61345] Incremental R2 (full-covars): 0.01006 PGS R2 (no covariates): 0.01762 [0.01128, 0.02396] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007774 | PGS001002 (GBE_INI23102) |
PSS005052| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.74997 [0.72945, 0.77049] Incremental R2 (full-covars): 0.00739 PGS R2 (no covariates): 0.0184 [0.00578, 0.03102] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007775 | PGS001002 (GBE_INI23102) |
PSS005053| European Ancestry| 24,466 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.75696 [0.7517, 0.76221] Incremental R2 (full-covars): 0.04635 PGS R2 (no covariates): 0.04558 [0.04052, 0.05064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007776 | PGS001002 (GBE_INI23102) |
PSS005054| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.6942 [0.68292, 0.70548] Incremental R2 (full-covars): 0.03631 PGS R2 (no covariates): 0.02751 [0.02037, 0.03465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007777 | PGS001002 (GBE_INI23102) |
PSS005055| European Ancestry| 66,264 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.75779 [0.75461, 0.76097] Incremental R2 (full-covars): 0.05245 PGS R2 (no covariates): 0.05076 [0.04753, 0.05399] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007793 | PGS001006 (GBE_BIN_FC1002306) |
PSS003760| African Ancestry| 6,079 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight change compared with 1 year ago | — | AUROC: 0.62073 [0.60627, 0.63518] | R²: 0.05769 Incremental AUROC (full-covars): -1e-05 PGS R2 (no covariates): 0.00038 PGS AUROC (no covariates): 0.50745 [0.49252, 0.52238] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007794 | PGS001006 (GBE_BIN_FC1002306) |
PSS003761| East Asian Ancestry| 1,602 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight change compared with 1 year ago | — | AUROC: 0.59942 [0.57137, 0.62747] | R²: 0.04761 Incremental AUROC (full-covars): 0.00968 PGS R2 (no covariates): 0.00719 PGS AUROC (no covariates): 0.53616 [0.5075, 0.56482] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007795 | PGS001006 (GBE_BIN_FC1002306) |
PSS003762| European Ancestry| 24,477 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight change compared with 1 year ago | — | AUROC: 0.57635 [0.56917, 0.58352] | R²: 0.02324 Incremental AUROC (full-covars): 0.00533 PGS R2 (no covariates): 0.00365 PGS AUROC (no covariates): 0.5289 [0.52165, 0.53616] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007796 | PGS001006 (GBE_BIN_FC1002306) |
PSS003763| South Asian Ancestry| 7,281 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight change compared with 1 year ago | — | AUROC: 0.60517 [0.59225, 0.61809] | R²: 0.04456 Incremental AUROC (full-covars): -0.00065 PGS R2 (no covariates): 0.00024 PGS AUROC (no covariates): 0.50809 [0.49482, 0.52135] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007797 | PGS001006 (GBE_BIN_FC1002306) |
PSS003764| European Ancestry| 66,390 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight change compared with 1 year ago | — | AUROC: 0.58453 [0.5802, 0.58886] | R²: 0.02896 Incremental AUROC (full-covars): 0.00463 PGS R2 (no covariates): 0.00376 PGS AUROC (no covariates): 0.5295 [0.5251, 0.5339] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008244 | PGS001101 (GBE_INI23099) |
PSS005036| African Ancestry| 6,300 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.58609 [0.57069, 0.6015] Incremental R2 (full-covars): -0.00196 PGS R2 (no covariates): 0.00632 [0.00248, 0.01016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008245 | PGS001101 (GBE_INI23099) |
PSS005037| East Asian Ancestry| 1,677 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.43955 [0.40434, 0.47477] Incremental R2 (full-covars): 0.00787 PGS R2 (no covariates): 0.03564 [0.01839, 0.05289] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008246 | PGS001101 (GBE_INI23099) |
PSS005038| European Ancestry| 24,454 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.46731 [0.45827, 0.47636] Incremental R2 (full-covars): 0.0533 PGS R2 (no covariates): 0.04958 [0.04432, 0.05483] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008247 | PGS001101 (GBE_INI23099) |
PSS005039| South Asian Ancestry| 7,645 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.56822 [0.5538, 0.58263] Incremental R2 (full-covars): 0.01844 PGS R2 (no covariates): 0.0265 [0.01948, 0.03351] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008248 | PGS001101 (GBE_INI23099) |
PSS005040| European Ancestry| 66,227 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body fat % | — | — | R²: 0.51245 [0.50718, 0.51771] Incremental R2 (full-covars): 0.05409 PGS R2 (no covariates): 0.05282 [0.04954, 0.05611] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008253 | PGS001102 (GBE_INI23123) |
PSS005145| European Ancestry| 66,244 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.51263 [0.50736, 0.5179] Incremental R2 (full-covars): 0.04899 PGS R2 (no covariates): 0.04847 [0.04531, 0.05163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008249 | PGS001102 (GBE_INI23123) |
PSS005141| African Ancestry| 6,301 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | Incremental R2 (full-covars): -3e-05 R²: 0.60446 [0.58951, 0.61941] PGS R2 (no covariates): 0.00397 [0.00092, 0.00702] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008250 | PGS001102 (GBE_INI23123) |
PSS005142| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.47666 [0.44242, 0.5109] Incremental R2 (full-covars): 0.00986 PGS R2 (no covariates): 0.03708 [0.01951, 0.05465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008251 | PGS001102 (GBE_INI23123) |
PSS005143| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.46034 [0.45125, 0.46943] Incremental R2 (full-covars): 0.05013 PGS R2 (no covariates): 0.04532 [0.04027, 0.05037] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008252 | PGS001102 (GBE_INI23123) |
PSS005144| South Asian Ancestry| 7,648 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (L) | — | — | R²: 0.60959 [0.59609, 0.62308] Incremental R2 (full-covars): 0.02061 PGS R2 (no covariates): 0.02621 [0.01923, 0.03318] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008256 | PGS001103 (GBE_INI23115) |
PSS005108| European Ancestry| 24,461 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.76237 [0.75721, 0.76752] Incremental R2 (full-covars): 0.02314 PGS R2 (no covariates): 0.01668 [0.01353, 0.01984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008254 | PGS001103 (GBE_INI23115) |
PSS005106| African Ancestry| 6,304 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.80234 [0.79373, 0.81095] Incremental R2 (full-covars): -0.00147 PGS R2 (no covariates): 0.0021 [-0.00012, 0.00432] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008255 | PGS001103 (GBE_INI23115) |
PSS005107| East Asian Ancestry| 1,679 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.8031 [0.78638, 0.81982] Incremental R2 (full-covars): 2e-05 PGS R2 (no covariates): 0.01698 [0.00484, 0.02912] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008257 | PGS001103 (GBE_INI23115) |
PSS005109| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.82056 [0.81337, 0.82776] Incremental R2 (full-covars): 0.00571 PGS R2 (no covariates): 0.00973 [0.00541, 0.01406] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008258 | PGS001103 (GBE_INI23115) |
PSS005110| European Ancestry| 66,256 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (L) | — | — | R²: 0.78472 [0.78184, 0.7876] Incremental R2 (full-covars): 0.02307 PGS R2 (no covariates): 0.02257 [0.02035, 0.02479] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008259 | PGS001104 (GBE_INI23111) |
PSS005086| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.78127 [0.77187, 0.79066] Incremental R2 (full-covars): -0.00315 PGS R2 (no covariates): 0.00173 [-0.00029, 0.00375] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008260 | PGS001104 (GBE_INI23111) |
PSS005087| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.78811 [0.77028, 0.80593] Incremental R2 (full-covars): 0.00106 PGS R2 (no covariates): 0.01989 [0.00679, 0.03299] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008261 | PGS001104 (GBE_INI23111) |
PSS005088| European Ancestry| 24,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.74105 [0.73551, 0.74658] Incremental R2 (full-covars): 0.02472 PGS R2 (no covariates): 0.01874 [0.0154, 0.02207] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008262 | PGS001104 (GBE_INI23111) |
PSS005089| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.7979 [0.78991, 0.80589] Incremental R2 (full-covars): 0.00504 PGS R2 (no covariates): 0.00957 [0.00528, 0.01386] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008263 | PGS001104 (GBE_INI23111) |
PSS005090| European Ancestry| 66,260 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat % (R) | — | — | R²: 0.7638 [0.76069, 0.76692] Incremental R2 (full-covars): 0.02467 PGS R2 (no covariates): 0.02454 [0.02223, 0.02685] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008264 | PGS001105 (GBE_INI23127) |
PSS005161| African Ancestry| 6,299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.33345 [0.31474, 0.35216] Incremental R2 (full-covars): -0.0012 PGS R2 (no covariates): 0.01046 [0.00554, 0.01538] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008265 | PGS001105 (GBE_INI23127) |
PSS005162| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.13249 [0.10257, 0.16242] Incremental R2 (full-covars): 0.02072 PGS R2 (no covariates): 0.03925 [0.02121, 0.05729] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008266 | PGS001105 (GBE_INI23127) |
PSS005163| European Ancestry| 24,452 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.23391 [0.22471, 0.24311] Incremental R2 (full-covars): 0.07149 PGS R2 (no covariates): 0.07404 [0.06778, 0.0803] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008267 | PGS001105 (GBE_INI23127) |
PSS005164| South Asian Ancestry| 7,646 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.26434 [0.2476, 0.28109] Incremental R2 (full-covars): 0.03313 PGS R2 (no covariates): 0.04146 [0.03282, 0.05011] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008268 | PGS001105 (GBE_INI23127) |
PSS005165| European Ancestry| 66,224 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat % | — | — | R²: 0.26796 [0.26224, 0.27368] Incremental R2 (full-covars): 0.07557 PGS R2 (no covariates): 0.07501 [0.07118, 0.07883] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008269 | PGS001106 (GBE_INI23119) |
PSS005121| African Ancestry| 6,302 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.61876 [0.60418, 0.63333] Incremental R2 (full-covars): 0.0012 PGS R2 (no covariates): 0.00365 [0.00072, 0.00657] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008270 | PGS001106 (GBE_INI23119) |
PSS005122| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.46296 [0.42833, 0.49759] Incremental R2 (full-covars): 0.00917 PGS R2 (no covariates): 0.03415 [0.01724, 0.05107] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008271 | PGS001106 (GBE_INI23119) |
PSS005123| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.45741 [0.4483, 0.46653] Incremental R2 (full-covars): 0.04769 PGS R2 (no covariates): 0.04324 [0.03829, 0.04818] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008272 | PGS001106 (GBE_INI23119) |
PSS005124| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.62976 [0.61675, 0.64277] Incremental R2 (full-covars): 0.0194 PGS R2 (no covariates): 0.02347 [0.01685, 0.0301] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008273 | PGS001106 (GBE_INI23119) |
PSS005125| European Ancestry| 66,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat % (R) | — | — | R²: 0.5084 [0.50311, 0.51369] Incremental R2 (full-covars): 0.04751 PGS R2 (no covariates): 0.04648 [0.04338, 0.04959] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008333 | PGS001119 (GBE_INI46) |
PSS007346| African Ancestry| 6,406 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (L) | — | — | R²: 0.46137 [0.44358, 0.47915] Incremental R2 (full-covars): -0.00082 PGS R2 (no covariates): 0.00155 [-0.00036, 0.00346] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008334 | PGS001119 (GBE_INI46) |
PSS007347| East Asian Ancestry| 1,696 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (L) | — | — | R²: 0.51785 [0.48497, 0.55073] Incremental R2 (full-covars): 0.00522 PGS R2 (no covariates): 0.01076 [0.00104, 0.02048] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008335 | PGS001119 (GBE_INI46) |
PSS007348| European Ancestry| 24,787 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (L) | — | — | R²: 0.54413 [0.53578, 0.55248] Incremental R2 (full-covars): 0.01167 PGS R2 (no covariates): 0.01075 [0.0082, 0.01329] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008336 | PGS001119 (GBE_INI46) |
PSS007349| South Asian Ancestry| 7,727 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (L) | — | — | R²: 0.48797 [0.47214, 0.50381] Incremental R2 (full-covars): 0.00538 PGS R2 (no covariates): 0.00871 [0.00462, 0.01281] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008337 | PGS001119 (GBE_INI46) |
PSS007350| European Ancestry| 67,154 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (L) | — | — | R²: 0.57766 [0.57281, 0.5825] Incremental R2 (full-covars): 0.01506 PGS R2 (no covariates): 0.01441 [0.01262, 0.0162] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008338 | PGS001120 (GBE_INI47) |
PSS007351| African Ancestry| 6,401 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (R) | — | — | R²: 0.46894 [0.45127, 0.48662] Incremental R2 (full-covars): 0.00206 PGS R2 (no covariates): 0.00239 [0.00002, 0.00476] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008339 | PGS001120 (GBE_INI47) |
PSS007352| East Asian Ancestry| 1,696 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (R) | — | — | R²: 0.52807 [0.49557, 0.56056] Incremental R2 (full-covars): 0.00381 PGS R2 (no covariates): 0.00613 [-0.00124, 0.01351] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008340 | PGS001120 (GBE_INI47) |
PSS007353| European Ancestry| 24,789 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (R) | — | — | R²: 0.55224 [0.54398, 0.5605] Incremental R2 (full-covars): 0.01267 PGS R2 (no covariates): 0.01229 [0.00957, 0.01501] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008341 | PGS001120 (GBE_INI47) |
PSS007354| South Asian Ancestry| 7,741 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (R) | — | — | R²: 0.48203 [0.46611, 0.49796] Incremental R2 (full-covars): 0.00822 PGS R2 (no covariates): 0.00897 [0.00481, 0.01312] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008342 | PGS001120 (GBE_INI47) |
PSS007355| European Ancestry| 67,185 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hand grip strength (R) | — | — | R²: 0.57637 [0.57152, 0.58123] Incremental R2 (full-covars): 0.01651 PGS R2 (no covariates): 0.01531 [0.01347, 0.01715] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008492 | PGS001154 (GBE_INI23110) |
PSS005081| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.40184 [0.38341, 0.42027] Incremental R2 (full-covars): 0.00929 PGS R2 (no covariates): 0.01779 [0.01142, 0.02415] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008493 | PGS001154 (GBE_INI23110) |
PSS005082| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.57437 [0.5438, 0.60494] Incremental R2 (full-covars): 0.01873 PGS R2 (no covariates): 0.01902 [0.0062, 0.03184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008494 | PGS001154 (GBE_INI23110) |
PSS005083| European Ancestry| 24,474 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.57497 [0.56697, 0.58297] Incremental R2 (full-covars): 0.0528 PGS R2 (no covariates): 0.05187 [0.0465, 0.05723] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008495 | PGS001154 (GBE_INI23110) |
PSS005084| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.53183 [0.51672, 0.54695] Incremental R2 (full-covars): 0.03819 PGS R2 (no covariates): 0.03481 [0.02684, 0.04279] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008496 | PGS001154 (GBE_INI23110) |
PSS005085| European Ancestry| 66,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (L) | — | — | R²: 0.58392 [0.57912, 0.58872] Incremental R2 (full-covars): 0.05546 PGS R2 (no covariates): 0.05563 [0.05227, 0.05899] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008497 | PGS001155 (GBE_INI23108) |
PSS005071| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.09719 [0.08351, 0.11087] Incremental R2 (full-covars): 0.01992 PGS R2 (no covariates): 0.0278 [0.01992, 0.03567] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008498 | PGS001155 (GBE_INI23108) |
PSS005072| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.31023 [0.27382, 0.34664] Incremental R2 (full-covars): 0.0341 PGS R2 (no covariates): 0.0409 [0.02252, 0.05928] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008499 | PGS001155 (GBE_INI23108) |
PSS005073| European Ancestry| 24,474 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.28199 [0.27252, 0.29146] Incremental R2 (full-covars): 0.09762 PGS R2 (no covariates): 0.09753 [0.09054, 0.10453] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008500 | PGS001155 (GBE_INI23108) |
PSS005074| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.20912 [0.1931, 0.22513] Incremental R2 (full-covars): 0.07366 PGS R2 (no covariates): 0.07706 [0.06572, 0.0884] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008501 | PGS001155 (GBE_INI23108) |
PSS005075| European Ancestry| 66,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (L) | — | — | R²: 0.284 [0.27824, 0.28976] Incremental R2 (full-covars): 0.10535 PGS R2 (no covariates): 0.10691 [0.1025, 0.11132] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008502 | PGS001156 (GBE_INI23109) |
PSS005076| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.39048 [0.37197, 0.40899] Incremental R2 (full-covars): 0.00926 PGS R2 (no covariates): 0.01716 [0.0109, 0.02342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008503 | PGS001156 (GBE_INI23109) |
PSS005077| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.54175 [0.50979, 0.57371] Incremental R2 (full-covars): 0.0153 PGS R2 (no covariates): 0.02132 [0.00778, 0.03486] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008504 | PGS001156 (GBE_INI23109) |
PSS005078| European Ancestry| 24,473 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.57975 [0.5718, 0.58769] Incremental R2 (full-covars): 0.05372 PGS R2 (no covariates): 0.0533 [0.04787, 0.05873] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008505 | PGS001156 (GBE_INI23109) |
PSS005079| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.53386 [0.51878, 0.54894] Incremental R2 (full-covars): 0.03597 PGS R2 (no covariates): 0.03083 [0.02329, 0.03836] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008506 | PGS001156 (GBE_INI23109) |
PSS005080| European Ancestry| 66,307 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of arm (R) | — | — | R²: 0.57547 [0.57061, 0.58033] Incremental R2 (full-covars): 0.05379 PGS R2 (no covariates): 0.05414 [0.05082, 0.05746] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008507 | PGS001157 (GBE_INI23107) |
PSS005066| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.10262 [0.08864, 0.11659] Incremental R2 (full-covars): 0.02186 PGS R2 (no covariates): 0.02948 [0.02138, 0.03758] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008508 | PGS001157 (GBE_INI23107) |
PSS005067| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.29891 [0.26259, 0.33523] Incremental R2 (full-covars): 0.03502 PGS R2 (no covariates): 0.04108 [0.02267, 0.0595] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008509 | PGS001157 (GBE_INI23107) |
PSS005068| European Ancestry| 24,475 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.28612 [0.27664, 0.2956] Incremental R2 (full-covars): 0.09428 PGS R2 (no covariates): 0.09552 [0.08858, 0.10246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008510 | PGS001157 (GBE_INI23107) |
PSS005069| South Asian Ancestry| 7,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.21686 [0.20071, 0.23301] Incremental R2 (full-covars): 0.07215 PGS R2 (no covariates): 0.07533 [0.06409, 0.08656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008511 | PGS001157 (GBE_INI23107) |
PSS005070| European Ancestry| 66,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of leg (R) | — | — | R²: 0.29573 [0.28995, 0.30151] Incremental R2 (full-covars): 0.10489 PGS R2 (no covariates): 0.10727 [0.10286, 0.11169] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008512 | PGS001158 (GBE_INI23118) |
PSS005116| African Ancestry| 6,303 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.54551 [0.52919, 0.56183] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.01474 [0.00892, 0.02055] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008513 | PGS001158 (GBE_INI23118) |
PSS005117| East Asian Ancestry| 1,679 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | Incremental R2 (full-covars): 0.00295 R²: 0.73419 [0.71261, 0.75577] PGS R2 (no covariates): 0.01537 [0.0038, 0.02694] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008514 | PGS001158 (GBE_INI23118) |
PSS005118| European Ancestry| 24,460 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.70945 [0.70337, 0.71553] Incremental R2 (full-covars): 0.04284 PGS R2 (no covariates): 0.04473 [0.03971, 0.04975] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008515 | PGS001158 (GBE_INI23118) |
PSS005119| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.66073 [0.64852, 0.67294] Incremental R2 (full-covars): 0.03274 PGS R2 (no covariates): 0.02543 [0.01855, 0.03231] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008516 | PGS001158 (GBE_INI23118) |
PSS005120| European Ancestry| 66,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.7033 [0.69954, 0.70705] Incremental R2 (full-covars): 0.0494 PGS R2 (no covariates): 0.04898 [0.0458, 0.05216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008517 | PGS001159 (GBE_INI23114) |
PSS005101| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.55037 [0.53416, 0.56658] Incremental R2 (full-covars): 0.00902 PGS R2 (no covariates): 0.01506 [0.00918, 0.02093] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008518 | PGS001159 (GBE_INI23114) |
PSS005102| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.73877 [0.71749, 0.76005] Incremental R2 (full-covars): 0.00137 PGS R2 (no covariates): 0.01373 [0.00278, 0.02468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008519 | PGS001159 (GBE_INI23114) |
PSS005103| European Ancestry| 24,461 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.71438 [0.70839, 0.72038] Incremental R2 (full-covars): 0.04346 PGS R2 (no covariates): 0.04404 [0.03906, 0.04902] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008520 | PGS001159 (GBE_INI23114) |
PSS005104| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | Incremental R2 (full-covars): 0.03277 R²: 0.66736 [0.65533, 0.67939] PGS R2 (no covariates): 0.02632 [0.01932, 0.03331] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008521 | PGS001159 (GBE_INI23114) |
PSS005105| European Ancestry| 66,257 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (R) | — | — | R²: 0.70913 [0.70543, 0.71283] Incremental R2 (full-covars): 0.04958 PGS R2 (no covariates): 0.04812 [0.04497, 0.05127] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008522 | PGS001160 (GBE_INI23130) |
PSS005176| African Ancestry| 6,298 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.60813 [0.59327, 0.62298] Incremental R2 (full-covars): 0.01103 PGS R2 (no covariates): 0.01817 [0.01174, 0.0246] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008523 | PGS001160 (GBE_INI23130) |
PSS005177| East Asian Ancestry| 1,677 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.74648 [0.72572, 0.76724] Incremental R2 (full-covars): 0.01277 PGS R2 (no covariates): 0.02185 [0.00815, 0.03555] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008524 | PGS001160 (GBE_INI23130) |
PSS005178| European Ancestry| 24,444 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.76821 [0.76317, 0.77326] Incremental R2 (full-covars): 0.04598 PGS R2 (no covariates): 0.04582 [0.04074, 0.05089] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008525 | PGS001160 (GBE_INI23130) |
PSS005179| South Asian Ancestry| 7,642 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.69886 [0.68771, 0.71] Incremental R2 (full-covars): 0.03651 PGS R2 (no covariates): 0.03063 [0.02312, 0.03815] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008526 | PGS001160 (GBE_INI23130) |
PSS005180| European Ancestry| 66,204 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.7731 [0.77009, 0.77611] Incremental R2 (full-covars): 0.05059 PGS R2 (no covariates): 0.05155 [0.0483, 0.0548] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008527 | PGS001161 (GBE_INI23106) |
PSS005061| African Ancestry| 6,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.29554 [0.27692, 0.31415] Incremental R2 (full-covars): 0.01724 PGS R2 (no covariates): 0.02715 [0.01936, 0.03494] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008528 | PGS001161 (GBE_INI23106) |
PSS005062| East Asian Ancestry| 1,681 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.51675 [0.48383, 0.54967] Incremental R2 (full-covars): 0.02489 PGS R2 (no covariates): 0.02929 [0.01355, 0.04503] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008529 | PGS001161 (GBE_INI23106) |
PSS005063| European Ancestry| 24,471 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.50936 [0.50067, 0.51806] Incremental R2 (full-covars): 0.07566 PGS R2 (no covariates): 0.07383 [0.06758, 0.08008] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008530 | PGS001161 (GBE_INI23106) |
PSS005064| South Asian Ancestry| 7,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.44125 [0.42482, 0.45769] Incremental R2 (full-covars): 0.05615 PGS R2 (no covariates): 0.05272 [0.04309, 0.06235] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008531 | PGS001161 (GBE_INI23106) |
PSS005065| European Ancestry| 66,304 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Impedance of whole body | — | — | R²: 0.51927 [0.51404, 0.5245] Incremental R2 (full-covars): 0.08047 PGS R2 (no covariates): 0.08089 [0.07694, 0.08483] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008548 | PGS001165 (GBE_INI23125) |
PSS005154| South Asian Ancestry| 7,647 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (L) | — | — | R²: 0.66424 [0.65212, 0.67635] Incremental R2 (full-covars): 0.03058 PGS R2 (no covariates): 0.02351 [0.01688, 0.03014] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008545 | PGS001165 (GBE_INI23125) |
PSS005151| African Ancestry| 6,299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (L) | — | — | R²: 0.5894 [0.57408, 0.60472] Incremental R2 (full-covars): 0.00951 PGS R2 (no covariates): 0.01764 [0.0113, 0.02399] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008546 | PGS001165 (GBE_INI23125) |
PSS005152| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (L) | — | — | R²: 0.74448 [0.72359, 0.76538] Incremental R2 (full-covars): 0.0034 PGS R2 (no covariates): 0.01331 [0.00252, 0.0241] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008547 | PGS001165 (GBE_INI23125) |
PSS005153| European Ancestry| 24,457 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (L) | — | — | R²: 0.73779 [0.7322, 0.74339] Incremental R2 (full-covars): 0.03937 PGS R2 (no covariates): 0.0417 [0.03684, 0.04656] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008549 | PGS001165 (GBE_INI23125) |
PSS005155| European Ancestry| 66,234 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm fat-free mass (L) | — | — | R²: 0.73264 [0.72918, 0.73609] Incremental R2 (full-covars): 0.04461 PGS R2 (no covariates): 0.04544 [0.04237, 0.04851] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008550 | PGS001166 (GBE_INI23117) |
PSS005111| African Ancestry| 6,303 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (L) | — | — | R²: 0.53187 [0.51528, 0.54846] Incremental R2 (full-covars): 0.00841 PGS R2 (no covariates): 0.0152 [0.0093, 0.0211] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008551 | PGS001166 (GBE_INI23117) |
PSS005112| East Asian Ancestry| 1,679 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (L) | — | — | R²: 0.72443 [0.7022, 0.74666] Incremental R2 (full-covars): 0.00342 PGS R2 (no covariates): 0.01608 [0.00425, 0.0279] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008552 | PGS001166 (GBE_INI23117) |
PSS005113| European Ancestry| 24,461 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (L) | — | — | R²: 0.7007 [0.69448, 0.70692] Incremental R2 (full-covars): 0.0443 PGS R2 (no covariates): 0.0464 [0.0413, 0.0515] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008553 | PGS001166 (GBE_INI23117) |
PSS005114| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (L) | — | — | R²: 0.65024 [0.63775, 0.66272] Incremental R2 (full-covars): 0.03375 PGS R2 (no covariates): 0.0265 [0.01948, 0.03352] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008554 | PGS001166 (GBE_INI23117) |
PSS005115| European Ancestry| 66,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (L) | — | — | R²: 0.69394 [0.69009, 0.69779] Incremental R2 (full-covars): 0.05093 PGS R2 (no covariates): 0.05064 [0.04742, 0.05387] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008555 | PGS001167 (GBE_INI23113) |
PSS005096| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (R) | — | — | R²: 0.53747 [0.52099, 0.55395] Incremental R2 (full-covars): 0.00943 PGS R2 (no covariates): 0.01562 [0.00964, 0.0216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008556 | PGS001167 (GBE_INI23113) |
PSS005097| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (R) | — | — | R²: 0.72975 [0.70788, 0.75163] Incremental R2 (full-covars): 0.00171 PGS R2 (no covariates): 0.01431 [0.00314, 0.02549] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008557 | PGS001167 (GBE_INI23113) |
PSS005098| European Ancestry| 24,461 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (R) | — | — | R²: 0.70588 [0.69974, 0.71201] Incremental R2 (full-covars): 0.04477 PGS R2 (no covariates): 0.0455 [0.04045, 0.05056] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008558 | PGS001167 (GBE_INI23113) |
PSS005099| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (R) | — | — | R²: 0.65682 [0.64451, 0.66914] Incremental R2 (full-covars): 0.03381 PGS R2 (no covariates): 0.02711 [0.02002, 0.0342] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008559 | PGS001167 (GBE_INI23113) |
PSS005100| European Ancestry| 66,257 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg fat-free mass (R) | — | — | R²: 0.69994 [0.69615, 0.70373] Incremental R2 (full-covars): 0.05103 PGS R2 (no covariates): 0.04961 [0.04641, 0.0528] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008560 | PGS001168 (GBE_INI23129) |
PSS005171| African Ancestry| 6,298 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.59642 [0.58127, 0.61157] Incremental R2 (full-covars): 0.01057 PGS R2 (no covariates): 0.0178 [0.01143, 0.02418] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008561 | PGS001168 (GBE_INI23129) |
PSS005172| East Asian Ancestry| 1,677 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.73696 [0.71556, 0.75835] Incremental R2 (full-covars): 0.01146 PGS R2 (no covariates): 0.0221 [0.00833, 0.03588] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008562 | PGS001168 (GBE_INI23129) |
PSS005173| European Ancestry| 24,445 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.76298 [0.75784, 0.76812] Incremental R2 (full-covars): 0.04792 PGS R2 (no covariates): 0.04719 [0.04205, 0.05233] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008563 | PGS001168 (GBE_INI23129) |
PSS005174| South Asian Ancestry| 7,645 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.69077 [0.67939, 0.70215] Incremental R2 (full-covars): 0.03748 PGS R2 (no covariates): 0.03123 [0.02365, 0.03881] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008564 | PGS001168 (GBE_INI23129) |
PSS005175| European Ancestry| 66,210 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.76832 [0.76525, 0.77138] Incremental R2 (full-covars): 0.05259 PGS R2 (no covariates): 0.05253 [0.04925, 0.05581] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008565 | PGS001169 (GBE_INI23101) |
PSS005046| African Ancestry| 6,304 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.60157 [0.58655, 0.61659] Incremental R2 (full-covars): 0.01013 PGS R2 (no covariates): 0.01873 [0.0122, 0.02526] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008566 | PGS001169 (GBE_INI23101) |
PSS005047| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.75252 [0.73217, 0.77286] Incremental R2 (full-covars): 0.00794 PGS R2 (no covariates): 0.01884 [0.00608, 0.03161] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008567 | PGS001169 (GBE_INI23101) |
PSS005048| European Ancestry| 24,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.75918 [0.75397, 0.76439] Incremental R2 (full-covars): 0.04637 PGS R2 (no covariates): 0.04707 [0.04193, 0.0522] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008568 | PGS001169 (GBE_INI23101) |
PSS005049| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.69559 [0.68435, 0.70683] Incremental R2 (full-covars): 0.03597 PGS R2 (no covariates): 0.02818 [0.02096, 0.03541] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008569 | PGS001169 (GBE_INI23101) |
PSS005050| European Ancestry| 66,262 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.76094 [0.75779, 0.76409] Incremental R2 (full-covars): 0.05193 PGS R2 (no covariates): 0.05222 [0.04895, 0.05548] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008644 | PGS001226 (GBE_INI20022) |
PSS004896| African Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Birth weight | — | — | R²: 0.04004 [0.0307, 0.04937] Incremental R2 (full-covars): 0.00368 PGS R2 (no covariates): 0.00672 [0.00276, 0.01067] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008645 | PGS001226 (GBE_INI20022) |
PSS004897| East Asian Ancestry| 609 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Birth weight | — | — | R²: 0.04464 [0.02551, 0.06377] Incremental R2 (full-covars): 0.01768 PGS R2 (no covariates): 0.02148 [0.00789, 0.03508] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008646 | PGS001226 (GBE_INI20022) |
PSS004898| European Ancestry| 12,908 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Birth weight | — | — | R²: 0.06034 [0.05461, 0.06608] Incremental R2 (full-covars): 0.02543 PGS R2 (no covariates): 0.02732 [0.02333, 0.03131] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008647 | PGS001226 (GBE_INI20022) |
PSS004899| South Asian Ancestry| 1,908 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Birth weight | — | — | R²: 0.04888 [0.03957, 0.05819] Incremental R2 (full-covars): 0.00482 PGS R2 (no covariates): 0.00796 [0.00404, 0.01188] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008648 | PGS001226 (GBE_INI20022) |
PSS004900| European Ancestry| 39,107 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Birth weight | — | — | R²: 0.05162 [0.04837, 0.05488] Incremental R2 (full-covars): 0.02688 PGS R2 (no covariates): 0.02741 [0.02498, 0.02984] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008654 | PGS001228 (GBE_INI21001) |
PSS004911| African Ancestry| 6,398 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: BMI | — | — | R²: 0.06264 [0.05124, 0.07404] Incremental R2 (full-covars): 0.01685 PGS R2 (no covariates): 0.02029 [0.0135, 0.02707] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008655 | PGS001228 (GBE_INI21001) |
PSS004912| East Asian Ancestry| 1,696 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: BMI | — | — | R²: 0.16636 [0.13414, 0.19858] Incremental R2 (full-covars): 0.03119 PGS R2 (no covariates): 0.06222 [0.04005, 0.08439] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008656 | PGS001228 (GBE_INI21001) |
PSS004913| European Ancestry| 24,795 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: BMI | — | — | R²: 0.13175 [0.12392, 0.13958] Incremental R2 (full-covars): 0.09741 PGS R2 (no covariates): 0.10338 [0.09622, 0.11054] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008657 | PGS001228 (GBE_INI21001) |
PSS004914| South Asian Ancestry| 7,639 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: BMI | — | — | R²: 0.0872 [0.07527, 0.09914] Incremental R2 (full-covars): 0.06488 PGS R2 (no covariates): 0.0648 [0.05426, 0.07534] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008658 | PGS001228 (GBE_INI21001) |
PSS004915| European Ancestry| 67,235 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: BMI | — | — | R²: 0.12084 [0.11623, 0.12545] Incremental R2 (full-covars): 0.10799 PGS R2 (no covariates): 0.11052 [0.10606, 0.11499] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008664 | PGS001230 (GBE_INI21002) |
PSS004916| African Ancestry| 6,410 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight | — | — | R²: 0.0617 [0.05037, 0.07303] Incremental R2 (full-covars): 0.0214 PGS R2 (no covariates): 0.02742 [0.01959, 0.03524] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008665 | PGS001230 (GBE_INI21002) |
PSS004917| East Asian Ancestry| 1,696 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight | — | — | R²: 0.36447 [0.32811, 0.40083] Incremental R2 (full-covars): 0.00956 PGS R2 (no covariates): 0.0426 [0.02388, 0.06133] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008666 | PGS001230 (GBE_INI21002) |
PSS004918| European Ancestry| 24,804 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight | — | — | R²: 0.33164 [0.32208, 0.3412] Incremental R2 (full-covars): 0.09015 PGS R2 (no covariates): 0.09999 [0.09292, 0.10705] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008667 | PGS001230 (GBE_INI21002) |
PSS004919| South Asian Ancestry| 7,746 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight | — | — | R²: 0.2472 [0.23063, 0.26377] Incremental R2 (full-covars): 0.06508 PGS R2 (no covariates): 0.0633 [0.05287, 0.07374] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008668 | PGS001230 (GBE_INI21002) |
PSS004920| European Ancestry| 67,258 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Weight | — | — | R²: 0.32007 [0.31426, 0.32588] Incremental R2 (full-covars): 0.1043 PGS R2 (no covariates): 0.10578 [0.10139, 0.11017] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008679 | PGS001234 (GBE_INI23126) |
PSS005156| African Ancestry| 6,299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (L) | — | — | R²: 0.60051 [0.58546, 0.61555] Incremental R2 (full-covars): 0.00953 PGS R2 (no covariates): 0.01688 [0.01067, 0.02309] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008680 | PGS001234 (GBE_INI23126) |
PSS005157| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (L) | — | — | R²: 0.75129 [0.73087, 0.77172] Incremental R2 (full-covars): 0.00307 PGS R2 (no covariates): 0.01325 [0.00249, 0.02401] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008681 | PGS001234 (GBE_INI23126) |
PSS005158| European Ancestry| 24,454 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (L) | — | — | R²: 0.74421 [0.73873, 0.74969] Incremental R2 (full-covars): 0.03857 PGS R2 (no covariates): 0.04031 [0.03552, 0.04509] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008682 | PGS001234 (GBE_INI23126) |
PSS005159| South Asian Ancestry| 7,647 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (L) | — | — | R²: 0.67369 [0.66183, 0.68555] Incremental R2 (full-covars): 0.03112 PGS R2 (no covariates): 0.02284 [0.0163, 0.02938] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008683 | PGS001234 (GBE_INI23126) |
PSS005160| European Ancestry| 66,231 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (L) | — | — | R²: 0.72542 [0.72189, 0.72895] Incremental R2 (full-covars): 0.04328 PGS R2 (no covariates): 0.04384 [0.04082, 0.04687] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008684 | PGS001235 (GBE_INI23122) |
PSS005136| African Ancestry| 6,302 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (R) | — | — | R²: 0.65534 [0.64178, 0.6689] Incremental R2 (full-covars): 0.00854 PGS R2 (no covariates): 0.01485 [0.00901, 0.02068] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008685 | PGS001235 (GBE_INI23122) |
PSS005137| East Asian Ancestry| 1,678 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (R) | — | — | R²: 0.7677 [0.74842, 0.78699] Incremental R2 (full-covars): 0.002 PGS R2 (no covariates): 0.0134 [0.00258, 0.02423] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008686 | PGS001235 (GBE_INI23122) |
PSS005138| European Ancestry| 24,458 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (R) | — | — | R²: 0.76826 [0.76321, 0.7733] Incremental R2 (full-covars): 0.03558 PGS R2 (no covariates): 0.03693 [0.03233, 0.04152] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008687 | PGS001235 (GBE_INI23122) |
PSS005139| South Asian Ancestry| 7,648 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (R) | — | — | R²: 0.7148 [0.70413, 0.72548] Incremental R2 (full-covars): 0.02639 PGS R2 (no covariates): 0.01722 [0.01151, 0.02293] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008688 | PGS001235 (GBE_INI23122) |
PSS005140| European Ancestry| 66,247 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Arm pred. mass (R) | — | — | R²: 0.76233 [0.7592, 0.76546] Incremental R2 (full-covars): 0.03907 PGS R2 (no covariates): 0.03932 [0.03645, 0.0422] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008714 | PGS001241 (GBE_INI3143) |
PSS007221| African Ancestry| 2,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width | — | — | R²: 0.17944 [0.16254, 0.19633] Incremental R2 (full-covars): 0.02779 PGS R2 (no covariates): 0.03934 [0.03008, 0.04861] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008715 | PGS001241 (GBE_INI3143) |
PSS007222| East Asian Ancestry| 795 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width | — | — | R²: 0.39023 [0.35413, 0.42632] Incremental R2 (full-covars): 0.02097 PGS R2 (no covariates): 0.08944 [0.06363, 0.11524] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008716 | PGS001241 (GBE_INI3143) |
PSS007223| European Ancestry| 12,376 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width | — | — | R²: 0.39626 [0.38682, 0.4057] Incremental R2 (full-covars): 0.10172 PGS R2 (no covariates): 0.09768 [0.09068, 0.10468] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008717 | PGS001241 (GBE_INI3143) |
PSS007224| South Asian Ancestry| 2,312 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width | — | — | R²: 0.31082 [0.29381, 0.32783] Incremental R2 (full-covars): 0.06147 PGS R2 (no covariates): 0.07442 [0.06324, 0.0856] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008718 | PGS001241 (GBE_INI3143) |
PSS007225| European Ancestry| 38,834 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width | — | — | R²: 0.36778 [0.362, 0.37357] Incremental R2 (full-covars): 0.10741 PGS R2 (no covariates): 0.10609 [0.10169, 0.11048] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008719 | PGS001242 (GBE_INI4100) |
PSS007271| African Ancestry| 3,560 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (L) | — | — | R²: 0.17615 [0.15934, 0.19296] Incremental R2 (full-covars): 0.00354 PGS R2 (no covariates): 0.01739 [0.01109, 0.02368] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008720 | PGS001242 (GBE_INI4100) |
PSS007272| East Asian Ancestry| 781 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (L) | — | — | R²: 0.37494 [0.33867, 0.41122] Incremental R2 (full-covars): 0.0398 PGS R2 (no covariates): 0.05591 [0.03475, 0.07706] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008721 | PGS001242 (GBE_INI4100) |
PSS007273| European Ancestry| 10,636 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (L) | — | — | R²: 0.38151 [0.37202, 0.391] Incremental R2 (full-covars): 0.07548 PGS R2 (no covariates): 0.07696 [0.0706, 0.08332] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008722 | PGS001242 (GBE_INI4100) |
PSS007274| South Asian Ancestry| 5,043 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (L) | — | — | R²: 0.33251 [0.31547, 0.34955] Incremental R2 (full-covars): 0.06787 PGS R2 (no covariates): 0.06574 [0.05514, 0.07635] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008723 | PGS001242 (GBE_INI4100) |
PSS007275| European Ancestry| 25,716 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (L) | — | — | R²: 0.34469 [0.33888, 0.3505] Incremental R2 (full-covars): 0.08959 PGS R2 (no covariates): 0.09278 [0.08861, 0.09695] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008724 | PGS001243 (GBE_INI4119) |
PSS007301| African Ancestry| 3,592 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (R) | — | — | R²: 0.14932 [0.13334, 0.1653] Incremental R2 (full-covars): 0.00481 PGS R2 (no covariates): 0.01872 [0.01219, 0.02525] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008725 | PGS001243 (GBE_INI4119) |
PSS007302| East Asian Ancestry| 782 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (R) | — | — | R²: 0.36262 [0.32624, 0.39899] Incremental R2 (full-covars): 0.04629 PGS R2 (no covariates): 0.06865 [0.04552, 0.09177] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008726 | PGS001243 (GBE_INI4119) |
PSS007303| European Ancestry| 10,633 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (R) | — | — | R²: 0.36171 [0.35218, 0.37125] Incremental R2 (full-covars): 0.07878 PGS R2 (no covariates): 0.0812 [0.0747, 0.0877] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008727 | PGS001243 (GBE_INI4119) |
PSS007304| South Asian Ancestry| 5,041 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (R) | — | — | R²: 0.30011 [0.28313, 0.31708] Incremental R2 (full-covars): 0.06364 PGS R2 (no covariates): 0.06153 [0.05122, 0.07184] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008728 | PGS001243 (GBE_INI4119) |
PSS007305| European Ancestry| 25,728 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ankle spacing width (R) | — | — | R²: 0.31774 [0.31194, 0.32355] Incremental R2 (full-covars): 0.08793 PGS R2 (no covariates): 0.08936 [0.08525, 0.09347] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005330 | PGS001379 (GBE_INI22427) |
PSS005001| African Ancestry| 192 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body surface area | — | — | R²: 0.33045 [0.31174, 0.34916] Incremental R2 (full-covars): 0.00602 PGS R2 (no covariates): 0.00907 [0.00448, 0.01366] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005331 | PGS001379 (GBE_INI22427) |
PSS005002| East Asian Ancestry| 110 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body surface area | — | — | R²: 0.51766 [0.48477, 0.55055] Incremental R2 (full-covars): 0.0075 PGS R2 (no covariates): 0.00447 [-0.00184, 0.01077] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005332 | PGS001379 (GBE_INI22427) |
PSS005003| European Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body surface area | — | — | R²: 0.45345 [0.44431, 0.46259] Incremental R2 (full-covars): 0.01083 PGS R2 (no covariates): 0.01017 [0.00769, 0.01264] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005333 | PGS001379 (GBE_INI22427) |
PSS005004| South Asian Ancestry| 319 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body surface area | — | — | R²: 0.39431 [0.37747, 0.41115] Incremental R2 (full-covars): 0.00066 PGS R2 (no covariates): 0.00119 [-0.00034, 0.00272] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005334 | PGS001379 (GBE_INI22427) |
PSS005005| European Ancestry| 5,526 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Body surface area | — | — | R²: 0.45482 [0.44927, 0.46037] Incremental R2 (full-covars): 0.01393 PGS R2 (no covariates): 0.02007 [0.01798, 0.02217] |
age, sex, UKB array type, Genotype PCs | — |
| PPM009497 | PGS001825 (portability-PLR_278) |
PSS009295| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0547 [0.0409, 0.0686] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009499 | PGS001825 (portability-PLR_278) |
PSS008623| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0516 [0.0276, 0.0756] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009500 | PGS001825 (portability-PLR_278) |
PSS008398| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0493 [-0.0078, 0.106] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009501 | PGS001825 (portability-PLR_278) |
PSS008177| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0334 [0.0087, 0.058] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009502 | PGS001825 (portability-PLR_278) |
PSS007963| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): -0.0049 [-0.0513, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009503 | PGS001825 (portability-PLR_278) |
PSS007744| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0323 [-0.0072, 0.0717] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009504 | PGS001825 (portability-PLR_278) |
PSS008848| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0208 [-0.0105, 0.0522] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009498 | PGS001825 (portability-PLR_278) |
PSS009069| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0453 [0.0148, 0.0758] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009981 | PGS001887 (portability-PLR_ankle_spacing) |
PSS009157| European Ancestry| 2,149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.402 [0.3658, 0.437] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009982 | PGS001887 (portability-PLR_ankle_spacing) |
PSS008711| European Ancestry| 3,469 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3944 [0.3659, 0.4222] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009983 | PGS001887 (portability-PLR_ankle_spacing) |
PSS008485| Greater Middle Eastern Ancestry| 507 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3841 [0.3057, 0.4574] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009984 | PGS001887 (portability-PLR_ankle_spacing) |
PSS008263| South Asian Ancestry| 1,985 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3675 [0.3286, 0.4051] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009985 | PGS001887 (portability-PLR_ankle_spacing) |
PSS008041| East Asian Ancestry| 819 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3258 [0.2623, 0.3864] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009986 | PGS001887 (portability-PLR_ankle_spacing) |
PSS007827| African Ancestry| 801 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.2218 [0.1541, 0.2875] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009987 | PGS001887 (portability-PLR_ankle_spacing) |
PSS008931| African Ancestry| 1,421 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.1388 [0.0871, 0.1898] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009980 | PGS001887 (portability-PLR_ankle_spacing) |
PSS009383| European Ancestry| 11,502 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.4249 [0.4098, 0.4398] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010020 | PGS001892 (portability-PLR_birth_weight) |
PSS009388| European Ancestry| 11,255 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1913 [0.1734, 0.209] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010021 | PGS001892 (portability-PLR_birth_weight) |
PSS009162| European Ancestry| 2,139 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1447 [0.1027, 0.1861] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010022 | PGS001892 (portability-PLR_birth_weight) |
PSS008716| European Ancestry| 3,422 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1639 [0.131, 0.1964] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010023 | PGS001892 (portability-PLR_birth_weight) |
PSS008490| Greater Middle Eastern Ancestry| 303 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1653 [0.0496, 0.2766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010024 | PGS001892 (portability-PLR_birth_weight) |
PSS008268| South Asian Ancestry| 1,505 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1064 [0.0559, 0.1565] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010025 | PGS001892 (portability-PLR_birth_weight) |
PSS008046| East Asian Ancestry| 714 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1533 [0.0798, 0.2251] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010027 | PGS001892 (portability-PLR_birth_weight) |
PSS008936| African Ancestry| 791 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1149 [0.0447, 0.1841] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010026 | PGS001892 (portability-PLR_birth_weight) |
PSS007832| African Ancestry| 840 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.0983 [0.03, 0.1656] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010219 | PGS001917 (portability-PLR_fat_perc) |
PSS009405| European Ancestry| 19,632 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3451 [0.3327, 0.3573] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010220 | PGS001917 (portability-PLR_fat_perc) |
PSS009179| European Ancestry| 4,073 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3424 [0.3149, 0.3693] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010221 | PGS001917 (portability-PLR_fat_perc) |
PSS008733| European Ancestry| 6,533 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3184 [0.2964, 0.3401] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010222 | PGS001917 (portability-PLR_fat_perc) |
PSS008507| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.286 [0.2316, 0.3386] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010223 | PGS001917 (portability-PLR_fat_perc) |
PSS008285| South Asian Ancestry| 6,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.2751 [0.2518, 0.298] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010224 | PGS001917 (portability-PLR_fat_perc) |
PSS008062| East Asian Ancestry| 1,779 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.2312 [0.1865, 0.275] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010225 | PGS001917 (portability-PLR_fat_perc) |
PSS007849| African Ancestry| 2,418 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.1519 [0.1126, 0.1908] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010226 | PGS001917 (portability-PLR_fat_perc) |
PSS008953| African Ancestry| 3,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.1483 [0.1169, 0.1793] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010291 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS009413| European Ancestry| 19,855 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.2515 [0.2384, 0.2645] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010292 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS009187| European Ancestry| 4,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.2485 [0.2195, 0.2771] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010293 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS008741| European Ancestry| 6,598 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.2292 [0.2062, 0.252] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010294 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS008515| Greater Middle Eastern Ancestry| 1,168 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.1973 [0.1411, 0.2523] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010296 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS008070| East Asian Ancestry| 1,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.1616 [0.116, 0.2065] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010297 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS007857| African Ancestry| 2,448 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.0843 [0.0446, 0.1236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010298 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS008961| African Ancestry| 3,849 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.0651 [0.0334, 0.0965] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010295 | PGS001927 (portability-PLR_hand_grip_strength) |
PSS008293| South Asian Ancestry| 6,223 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.1688 [0.1445, 0.1929] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010419 | PGS001943 (portability-PLR_log_BMI) |
PSS009429| European Ancestry| 19,937 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3698 [0.3577, 0.3817] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010420 | PGS001943 (portability-PLR_log_BMI) |
PSS009203| European Ancestry| 4,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3628 [0.336, 0.3891] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010421 | PGS001943 (portability-PLR_log_BMI) |
PSS008757| European Ancestry| 6,622 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3557 [0.3345, 0.3766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010422 | PGS001943 (portability-PLR_log_BMI) |
PSS008531| Greater Middle Eastern Ancestry| 1,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3001 [0.2468, 0.3517] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010423 | PGS001943 (portability-PLR_log_BMI) |
PSS008309| South Asian Ancestry| 6,145 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3048 [0.2819, 0.3274] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010424 | PGS001943 (portability-PLR_log_BMI) |
PSS008086| East Asian Ancestry| 1,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.2501 [0.206, 0.2931] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010425 | PGS001943 (portability-PLR_log_BMI) |
PSS007873| African Ancestry| 2,444 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.1973 [0.1587, 0.2352] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010426 | PGS001943 (portability-PLR_log_BMI) |
PSS008977| African Ancestry| 3,859 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.1571 [0.1261, 0.1878] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010476 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS009217| European Ancestry| 4,072 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.449 [0.424, 0.4732] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010477 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS008771| European Ancestry| 6,538 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.4291 [0.4091, 0.4487] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010478 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS008545| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.3709 [0.3195, 0.42] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010479 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS008323| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.3879 [0.3665, 0.4089] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010480 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS008100| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.3154 [0.2727, 0.3568] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010481 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS007887| African Ancestry| 2,420 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.2517 [0.2139, 0.2888] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010482 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS008991| African Ancestry| 3,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.1941 [0.1633, 0.2246] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010475 | PGS001950 (portability-PLR_log_fat_free_mass) |
PSS009443| European Ancestry| 19,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.458 [0.4469, 0.469] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010563 | PGS001961 (portability-PLR_log_impedance) |
PSS009450| European Ancestry| 19,624 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.4099 [0.3982, 0.4215] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010564 | PGS001961 (portability-PLR_log_impedance) |
PSS009224| European Ancestry| 4,069 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.4104 [0.3845, 0.4357] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010565 | PGS001961 (portability-PLR_log_impedance) |
PSS008778| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.3868 [0.366, 0.4073] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010566 | PGS001961 (portability-PLR_log_impedance) |
PSS008552| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.4087 [0.359, 0.4561] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010567 | PGS001961 (portability-PLR_log_impedance) |
PSS008330| South Asian Ancestry| 6,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.366 [0.3441, 0.3874] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010568 | PGS001961 (portability-PLR_log_impedance) |
PSS008107| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.2675 [0.2236, 0.3104] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010569 | PGS001961 (portability-PLR_log_impedance) |
PSS007894| African Ancestry| 2,417 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.229 [0.1907, 0.2666] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010570 | PGS001961 (portability-PLR_log_impedance) |
PSS008998| African Ancestry| 3,798 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.1708 [0.1397, 0.2016] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010747 | PGS001984 (portability-PLR_log_water_mass) |
PSS009472| European Ancestry| 19,641 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.4574 [0.4462, 0.4684] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010749 | PGS001984 (portability-PLR_log_water_mass) |
PSS008800| European Ancestry| 6,539 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.4309 [0.4109, 0.4505] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010750 | PGS001984 (portability-PLR_log_water_mass) |
PSS008574| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.3695 [0.3181, 0.4188] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010752 | PGS001984 (portability-PLR_log_water_mass) |
PSS008129| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.3166 [0.274, 0.358] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010753 | PGS001984 (portability-PLR_log_water_mass) |
PSS007916| African Ancestry| 2,420 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.2518 [0.2139, 0.2889] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010754 | PGS001984 (portability-PLR_log_water_mass) |
PSS009020| African Ancestry| 3,801 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.1924 [0.1615, 0.2229] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010748 | PGS001984 (portability-PLR_log_water_mass) |
PSS009246| European Ancestry| 4,073 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.4477 [0.4228, 0.472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010751 | PGS001984 (portability-PLR_log_water_mass) |
PSS008352| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.3881 [0.3667, 0.4091] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010914 | PGS002005 (portability-PLR_sitting_height) |
PSS009490| European Ancestry| 19,908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.5055 [0.4951, 0.5158] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010915 | PGS002005 (portability-PLR_sitting_height) |
PSS009264| European Ancestry| 4,122 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.487 [0.4633, 0.51] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010916 | PGS002005 (portability-PLR_sitting_height) |
PSS008818| European Ancestry| 6,623 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.4655 [0.4464, 0.4842] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010917 | PGS002005 (portability-PLR_sitting_height) |
PSS008592| Greater Middle Eastern Ancestry| 1,175 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.4025 [0.353, 0.4497] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010918 | PGS002005 (portability-PLR_sitting_height) |
PSS008370| South Asian Ancestry| 6,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.3897 [0.3682, 0.4108] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010919 | PGS002005 (portability-PLR_sitting_height) |
PSS008146| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.3397 [0.298, 0.3802] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010920 | PGS002005 (portability-PLR_sitting_height) |
PSS007934| African Ancestry| 2,443 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.24 [0.2021, 0.2772] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010921 | PGS002005 (portability-PLR_sitting_height) |
PSS009038| African Ancestry| 3,857 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.2113 [0.1808, 0.2413] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011135 | PGS002033 (portability-ldpred2_278) |
PSS009295| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0789 [0.0651, 0.0927] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011137 | PGS002033 (portability-ldpred2_278) |
PSS008623| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0824 [0.0585, 0.1062] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011138 | PGS002033 (portability-ldpred2_278) |
PSS008398| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0801 [0.0232, 0.1366] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011139 | PGS002033 (portability-ldpred2_278) |
PSS008177| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0502 [0.0255, 0.0747] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011140 | PGS002033 (portability-ldpred2_278) |
PSS007963| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0109 [-0.0354, 0.0572] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011141 | PGS002033 (portability-ldpred2_278) |
PSS007744| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0265 [-0.013, 0.0659] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011142 | PGS002033 (portability-ldpred2_278) |
PSS008848| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0516 [0.0203, 0.0829] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011136 | PGS002033 (portability-ldpred2_278) |
PSS009069| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Overweight, obesity and other hyperalimentation | — | — | Partial Correlation (partial-r): 0.0523 [0.0218, 0.0827] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011656 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS009383| European Ancestry| 11,502 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.4158 [0.4006, 0.4309] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011657 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS009157| European Ancestry| 2,149 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.39 [0.3534, 0.4255] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011659 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS008485| Greater Middle Eastern Ancestry| 507 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3735 [0.2944, 0.4475] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011660 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS008263| South Asian Ancestry| 1,985 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3529 [0.3136, 0.391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011661 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS008041| East Asian Ancestry| 819 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3292 [0.2659, 0.3897] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011662 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS007827| African Ancestry| 801 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.2254 [0.1578, 0.291] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011663 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS008931| African Ancestry| 1,421 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.1151 [0.0632, 0.1665] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011658 | PGS002100 (portability-ldpred2_ankle_spacing) |
PSS008711| European Ancestry| 3,469 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ankle spacing width | — | — | Partial Correlation (partial-r): 0.3974 [0.3689, 0.4251] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011696 | PGS002105 (portability-ldpred2_birth_weight) |
PSS009388| European Ancestry| 11,255 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.2001 [0.1823, 0.2178] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011697 | PGS002105 (portability-ldpred2_birth_weight) |
PSS009162| European Ancestry| 2,139 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1536 [0.1118, 0.1949] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011698 | PGS002105 (portability-ldpred2_birth_weight) |
PSS008716| European Ancestry| 3,422 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1634 [0.1305, 0.1959] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011699 | PGS002105 (portability-ldpred2_birth_weight) |
PSS008490| Greater Middle Eastern Ancestry| 303 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.2068 [0.0924, 0.3158] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011701 | PGS002105 (portability-ldpred2_birth_weight) |
PSS008046| East Asian Ancestry| 714 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.197 [0.1244, 0.2675] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011702 | PGS002105 (portability-ldpred2_birth_weight) |
PSS007832| African Ancestry| 840 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.0764 [0.008, 0.1441] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011703 | PGS002105 (portability-ldpred2_birth_weight) |
PSS008936| African Ancestry| 791 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.1227 [0.0526, 0.1917] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011700 | PGS002105 (portability-ldpred2_birth_weight) |
PSS008268| South Asian Ancestry| 1,505 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Birth weight | — | — | Partial Correlation (partial-r): 0.113 [0.0625, 0.163] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011919 | PGS002133 (portability-ldpred2_fat_perc) |
PSS009405| European Ancestry| 19,632 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3443 [0.3319, 0.3566] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011920 | PGS002133 (portability-ldpred2_fat_perc) |
PSS009179| European Ancestry| 4,073 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3456 [0.3182, 0.3724] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011921 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008733| European Ancestry| 6,533 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.3256 [0.3037, 0.3472] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011922 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008507| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.2896 [0.2353, 0.3421] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011923 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008285| South Asian Ancestry| 6,180 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.273 [0.2497, 0.2959] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011924 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008062| East Asian Ancestry| 1,779 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.2302 [0.1854, 0.274] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011925 | PGS002133 (portability-ldpred2_fat_perc) |
PSS007849| African Ancestry| 2,418 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.153 [0.1136, 0.1918] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011926 | PGS002133 (portability-ldpred2_fat_perc) |
PSS008953| African Ancestry| 3,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body fat percentage | — | — | Partial Correlation (partial-r): 0.1577 [0.1265, 0.1887] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM020884 | PGS002133 (portability-ldpred2_fat_perc) |
PSS011442| European Ancestry| 564 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.13 [0.94, 1.37] | — | — | — | — |
| PPM020899 | PGS002133 (portability-ldpred2_fat_perc) |
PSS011441| African Ancestry| 504 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 0.94 [0.76, 1.15] | — | — | — | — |
| PPM011995 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS008293| South Asian Ancestry| 6,223 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.1759 [0.1517, 0.1999] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011991 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS009413| European Ancestry| 19,855 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.262 [0.249, 0.2749] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011992 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS009187| European Ancestry| 4,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.2543 [0.2254, 0.2827] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011993 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS008741| European Ancestry| 6,598 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.2433 [0.2204, 0.2659] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011994 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS008515| Greater Middle Eastern Ancestry| 1,168 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.2026 [0.1465, 0.2575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011996 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS008070| East Asian Ancestry| 1,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.1631 [0.1175, 0.208] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011997 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS007857| African Ancestry| 2,448 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.0966 [0.0571, 0.1359] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011998 | PGS002143 (portability-ldpred2_hand_grip_strength) |
PSS008961| African Ancestry| 3,849 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hand grip strength (mean of both) | — | — | Partial Correlation (partial-r): 0.0798 [0.0482, 0.1112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012135 | PGS002161 (portability-ldpred2_log_BMI) |
PSS009429| European Ancestry| 19,937 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3664 [0.3544, 0.3784] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012136 | PGS002161 (portability-ldpred2_log_BMI) |
PSS009203| European Ancestry| 4,124 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3698 [0.3431, 0.3959] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012137 | PGS002161 (portability-ldpred2_log_BMI) |
PSS008757| European Ancestry| 6,622 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.3595 [0.3384, 0.3804] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012138 | PGS002161 (portability-ldpred2_log_BMI) |
PSS008531| Greater Middle Eastern Ancestry| 1,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.2932 [0.2396, 0.345] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012139 | PGS002161 (portability-ldpred2_log_BMI) |
PSS008309| South Asian Ancestry| 6,145 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.308 [0.2851, 0.3305] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012141 | PGS002161 (portability-ldpred2_log_BMI) |
PSS007873| African Ancestry| 2,444 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.2104 [0.1721, 0.2482] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012142 | PGS002161 (portability-ldpred2_log_BMI) |
PSS008977| African Ancestry| 3,859 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.1573 [0.1263, 0.188] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012140 | PGS002161 (portability-ldpred2_log_BMI) |
PSS008086| East Asian Ancestry| 1,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Body mass index (BMI) | — | — | Partial Correlation (partial-r): 0.2694 [0.2257, 0.3119] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM020885 | PGS002161 (portability-ldpred2_log_BMI) |
PSS011442| European Ancestry| 564 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.12 [0.92, 1.35] | — | — | — | — |
| PPM020893 | PGS002161 (portability-ldpred2_log_BMI) |
PSS011441| African Ancestry| 504 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.1 [0.89, 1.36] | — | — | — | — |
| PPM012191 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS009443| European Ancestry| 19,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.447 [0.4358, 0.4581] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012192 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS009217| European Ancestry| 4,072 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.4493 [0.4244, 0.4735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012193 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS008771| European Ancestry| 6,538 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.4231 [0.4029, 0.4428] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012194 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS008545| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.3653 [0.3138, 0.4148] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012195 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS008323| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.3787 [0.3571, 0.3999] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012196 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS008100| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.3169 [0.2743, 0.3583] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012197 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS007887| African Ancestry| 2,420 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.2494 [0.2115, 0.2866] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012198 | PGS002168 (portability-ldpred2_log_fat_free_mass) |
PSS008991| African Ancestry| 3,799 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body fat-free mass | — | — | Partial Correlation (partial-r): 0.1911 [0.1602, 0.2216] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012279 | PGS002179 (portability-ldpred2_log_impedance) |
PSS009450| European Ancestry| 19,624 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.4005 [0.3887, 0.4122] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012280 | PGS002179 (portability-ldpred2_log_impedance) |
PSS009224| European Ancestry| 4,069 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.3968 [0.3705, 0.4224] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012281 | PGS002179 (portability-ldpred2_log_impedance) |
PSS008778| European Ancestry| 6,535 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.3774 [0.3564, 0.398] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012282 | PGS002179 (portability-ldpred2_log_impedance) |
PSS008552| Greater Middle Eastern Ancestry| 1,151 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.3911 [0.3406, 0.4394] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012284 | PGS002179 (portability-ldpred2_log_impedance) |
PSS008107| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.2885 [0.2451, 0.3307] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012285 | PGS002179 (portability-ldpred2_log_impedance) |
PSS007894| African Ancestry| 2,417 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.232 [0.1937, 0.2695] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012286 | PGS002179 (portability-ldpred2_log_impedance) |
PSS008998| African Ancestry| 3,798 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.1673 [0.1361, 0.1981] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012283 | PGS002179 (portability-ldpred2_log_impedance) |
PSS008330| South Asian Ancestry| 6,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Impedance of whole body | — | — | Partial Correlation (partial-r): 0.3595 [0.3376, 0.3811] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012463 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS009472| European Ancestry| 19,641 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.446 [0.4347, 0.4571] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012464 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS009246| European Ancestry| 4,073 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.4481 [0.4232, 0.4724] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012465 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS008800| European Ancestry| 6,539 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.4242 [0.4041, 0.4439] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012466 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS008574| Greater Middle Eastern Ancestry| 1,152 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.3643 [0.3127, 0.4138] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012467 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS008352| South Asian Ancestry| 6,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.3789 [0.3573, 0.4001] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012468 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS008129| East Asian Ancestry| 1,782 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.3154 [0.2727, 0.3569] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012469 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS007916| African Ancestry| 2,420 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.2493 [0.2114, 0.2865] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012470 | PGS002202 (portability-ldpred2_log_water_mass) |
PSS009020| African Ancestry| 3,801 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Whole body water mass | — | — | Partial Correlation (partial-r): 0.1924 [0.1615, 0.2229] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012641 | PGS002224 (portability-ldpred2_sitting_height) |
PSS008592| Greater Middle Eastern Ancestry| 1,175 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.3911 [0.3411, 0.4389] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012638 | PGS002224 (portability-ldpred2_sitting_height) |
PSS009490| European Ancestry| 19,908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.4963 [0.4858, 0.5067] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012639 | PGS002224 (portability-ldpred2_sitting_height) |
PSS009264| European Ancestry| 4,122 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.4829 [0.4591, 0.506] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012640 | PGS002224 (portability-ldpred2_sitting_height) |
PSS008818| European Ancestry| 6,623 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.4602 [0.441, 0.479] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012642 | PGS002224 (portability-ldpred2_sitting_height) |
PSS008370| South Asian Ancestry| 6,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.3797 [0.358, 0.4009] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012643 | PGS002224 (portability-ldpred2_sitting_height) |
PSS008146| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.3372 [0.2954, 0.3778] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012645 | PGS002224 (portability-ldpred2_sitting_height) |
PSS009038| African Ancestry| 3,857 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.1914 [0.1607, 0.2217] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012644 | PGS002224 (portability-ldpred2_sitting_height) |
PSS007934| African Ancestry| 2,443 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sitting height | — | — | Partial Correlation (partial-r): 0.2361 [0.1982, 0.2734] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012804 | PGS002251 (PRS97_BMI) |
PSS009565| European Ancestry| 33,511 individuals |
PGP000278 | Dashti HS et al. BMC Med (2022) |
Reported Trait: Body mass index | β: 0.83 [0.76, 0.9] | — | — | age, sex, genotyping array, and 5 PCs of ancestry | beta unit kg/m2 |
| PPM022498 | PGS002251 (PRS97_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Waist circumference | β: 0.05 [0.02, 0.08] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022499 | PGS002251 (PRS97_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: BMI | β: 0.09 [0.05, 0.12] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM022500 | PGS002251 (PRS97_BMI) |
PSS011974| Multi-ancestry (including European)| 6,767 individuals |
PGP000720 | Masip G et al. Obesity (Silver Spring) (2023) |Ext. |
Reported Trait: Body fat percentage | β: 0.06 [0.04, 0.09] | — | — | age, sex, principal components of ancestry, alcohol intake, smoking, education, sleeping time, income, anxiety, physical activity, energy intake, and energy misreporter status | — |
| PPM013078 | PGS002313 (body_BMIz.BOLT-LMM) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.032 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013127 | PGS002313 (body_BMIz.BOLT-LMM) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.06 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013176 | PGS002313 (body_BMIz.BOLT-LMM) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.1326 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013225 | PGS002313 (body_BMIz.BOLT-LMM) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.082 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013121 | PGS002356 (body_WHRadjBMIz.BOLT-LMM) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0167 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013170 | PGS002356 (body_WHRadjBMIz.BOLT-LMM) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0412 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013219 | PGS002356 (body_WHRadjBMIz.BOLT-LMM) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0764 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013268 | PGS002356 (body_WHRadjBMIz.BOLT-LMM) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0414 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013272 | PGS002360 (body_BMIz.BOLT-LMM-BBJ) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013295 | PGS002360 (body_BMIz.BOLT-LMM-BBJ) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0397 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013318 | PGS002360 (body_BMIz.BOLT-LMM-BBJ) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0056 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013341 | PGS002360 (body_BMIz.BOLT-LMM-BBJ) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0109 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013366 | PGS002385 (body_BMIz.P+T.0.0001) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013415 | PGS002385 (body_BMIz.P+T.0.0001) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0285 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013464 | PGS002385 (body_BMIz.P+T.0.0001) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0584 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013513 | PGS002385 (body_BMIz.P+T.0.0001) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0341 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013409 | PGS002428 (body_WHRadjBMIz.P+T.0.0001) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0036 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013458 | PGS002428 (body_WHRadjBMIz.P+T.0.0001) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013507 | PGS002428 (body_WHRadjBMIz.P+T.0.0001) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0406 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013556 | PGS002428 (body_WHRadjBMIz.P+T.0.0001) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0201 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013611 | PGS002434 (body_BMIz.P+T.0.001) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0236 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013660 | PGS002434 (body_BMIz.P+T.0.001) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0592 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013709 | PGS002434 (body_BMIz.P+T.0.001) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0215 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013562 | PGS002434 (body_BMIz.P+T.0.001) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013605 | PGS002477 (body_WHRadjBMIz.P+T.0.001) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013654 | PGS002477 (body_WHRadjBMIz.P+T.0.001) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0067 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013703 | PGS002477 (body_WHRadjBMIz.P+T.0.001) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0413 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013752 | PGS002477 (body_WHRadjBMIz.P+T.0.001) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0164 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013758 | PGS002483 (body_BMIz.P+T.0.01) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013807 | PGS002483 (body_BMIz.P+T.0.01) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013856 | PGS002483 (body_BMIz.P+T.0.01) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0466 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013905 | PGS002483 (body_BMIz.P+T.0.01) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0111 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013801 | PGS002526 (body_WHRadjBMIz.P+T.0.01) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013850 | PGS002526 (body_WHRadjBMIz.P+T.0.01) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0077 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013899 | PGS002526 (body_WHRadjBMIz.P+T.0.01) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0224 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013948 | PGS002526 (body_WHRadjBMIz.P+T.0.01) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0048 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013954 | PGS002532 (body_BMIz.P+T.1e-06) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0092 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014003 | PGS002532 (body_BMIz.P+T.1e-06) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0149 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014052 | PGS002532 (body_BMIz.P+T.1e-06) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0401 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014101 | PGS002532 (body_BMIz.P+T.1e-06) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0269 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013997 | PGS002575 (body_WHRadjBMIz.P+T.1e-06) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0117 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014046 | PGS002575 (body_WHRadjBMIz.P+T.1e-06) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0221 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014095 | PGS002575 (body_WHRadjBMIz.P+T.1e-06) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0313 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014144 | PGS002575 (body_WHRadjBMIz.P+T.1e-06) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0178 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014199 | PGS002581 (body_BMIz.P+T.5e-08) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0084 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014150 | PGS002581 (body_BMIz.P+T.5e-08) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0077 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014248 | PGS002581 (body_BMIz.P+T.5e-08) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0323 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014297 | PGS002581 (body_BMIz.P+T.5e-08) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0229 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014193 | PGS002624 (body_WHRadjBMIz.P+T.5e-08) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0117 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014242 | PGS002624 (body_WHRadjBMIz.P+T.5e-08) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.016 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014291 | PGS002624 (body_WHRadjBMIz.P+T.5e-08) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0273 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014340 | PGS002624 (body_WHRadjBMIz.P+T.5e-08) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.016 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014346 | PGS002630 (body_BMIz.PolyFun-pred) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0345 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014395 | PGS002630 (body_BMIz.PolyFun-pred) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0624 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014444 | PGS002630 (body_BMIz.PolyFun-pred) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1307 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014493 | PGS002630 (body_BMIz.PolyFun-pred) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0832 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014389 | PGS002673 (body_WHRadjBMIz.PolyFun-pred) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0289 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014438 | PGS002673 (body_WHRadjBMIz.PolyFun-pred) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0456 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014487 | PGS002673 (body_WHRadjBMIz.PolyFun-pred) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0799 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014536 | PGS002673 (body_WHRadjBMIz.PolyFun-pred) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0442 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See body_WHRadjBMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014542 | PGS002679 (body_BMIz.SBayesR) |
PSS009695| African Ancestry| 6,399 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0317 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014591 | PGS002679 (body_BMIz.SBayesR) |
PSS009696| East Asian Ancestry| 916 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0587 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014640 | PGS002679 (body_BMIz.SBayesR) |
PSS009697| European Ancestry| 43,328 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.1271 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014689 | PGS002679 (body_BMIz.SBayesR) |
PSS009698| South Asian Ancestry| 7,911 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: BMI | — | — | Incremental R2 (full model vs. covariates alone): 0.0823 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014585 | PGS002722 (body_WHRadjBMIz.SBayesR) |
PSS009867| African Ancestry| 6,423 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0214 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014634 | PGS002722 (body_WHRadjBMIz.SBayesR) |
PSS009868| East Asian Ancestry| 917 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0413 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014683 | PGS002722 (body_WHRadjBMIz.SBayesR) |
PSS009869| European Ancestry| 43,384 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0746 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014732 | PGS002722 (body_WHRadjBMIz.SBayesR) |
PSS009870| South Asian Ancestry| 8,026 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Waist-Hip Ratio | — | — | Incremental R2 (full model vs. covariates alone): 0.0416 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014943 | PGS002751 (GRSrare) |
PSS009938| European Ancestry| 6,064 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |
Reported Trait: Overweight | — | — | Odds Ratio (OR, 10th vs. 1st decile): 1.78 [1.14, 2.79] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM014944 | PGS002751 (GRSrare) |
PSS009938| European Ancestry| 6,064 individuals |
PGP000363 | Sapkota Y et al. Nat Med (2022) |
Reported Trait: Obesity | — | — | Odds Ratio (OR, 10th vs. 1st decile): 1.37 [0.66, 2.88] | Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs | — |
| PPM015629 | PGS002840 (ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.27 (0.0445) | — | R²: 0.099 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015632 | PGS002841 (ExPRSweb_BMI_21001-irnt_PT_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.13 (0.0461) | — | R²: 0.0802 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015630 | PGS002842 (ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 1.96 (0.0462) | — | R²: 0.0699 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015628 | PGS002843 (ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 1.9 (0.0452) | — | R²: 0.0692 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015631 | PGS002844 (ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.37 (0.045) | — | R²: 0.103 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015634 | PGS002845 (ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.27 (0.0444) | — | R²: 0.0982 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015637 | PGS002846 (ExPRSweb_BMI_21001-raw_PT_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.09 (0.0459) | — | R²: 0.0779 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015635 | PGS002847 (ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.03 (0.0462) | — | R²: 0.0729 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015633 | PGS002848 (ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 1.91 (0.045) | — | R²: 0.0702 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015636 | PGS002849 (ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.38 (0.0452) | — | R²: 0.102 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015639 | PGS002850 (ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.26 (0.0445) | — | R²: 0.0983 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015642 | PGS002851 (ExPRSweb_BMI_23104-irnt_PT_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.14 (0.0462) | — | R²: 0.0802 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015640 | PGS002852 (ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 1.98 (0.0461) | — | R²: 0.0716 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015638 | PGS002853 (ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 1.89 (0.0453) | — | R²: 0.0679 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015641 | PGS002854 (ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.35 (0.045) | — | R²: 0.101 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015644 | PGS002855 (ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 0.323 (0.00628) | — | R²: 0.0973 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015647 | PGS002856 (ExPRSweb_BMI_23104-raw_PT_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 0.299 (0.00651) | — | R²: 0.0772 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015645 | PGS002857 (ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 0.279 (0.00652) | — | R²: 0.0688 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015643 | PGS002858 (ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 0.273 (0.00643) | — | R²: 0.0687 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015646 | PGS002859 (ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120) |
PSS009997| European Ancestry| 23,382 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: BMI | β: 2.38 (0.0452) | — | R²: 0.101 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016049 | PGS003124 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120) |
PSS010017| European Ancestry| 21,346 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.096 [0.989, 1.215] β: 0.0919 (0.0523) |
AUROC: 0.525 [0.493, 0.556] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016055 | PGS003125 (ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120) |
PSS010017| European Ancestry| 21,346 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.107 [1.003, 1.223] β: 0.102 (0.0506) |
AUROC: 0.532 [0.503, 0.561] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016051 | PGS003126 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_MGI_20211120) |
PSS010017| European Ancestry| 21,346 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.074 [0.973, 1.187] β: 0.0718 (0.0508) |
AUROC: 0.516 [0.49, 0.541] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016047 | PGS003127 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_MGI_20211120) |
PSS010017| European Ancestry| 21,346 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 0.96 [0.854, 1.08] β: -0.0405 (0.0598) |
AUROC: 0.462 [0.453, 0.471] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016053 | PGS003128 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_MGI_20211120) |
PSS010017| European Ancestry| 21,346 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.058 [0.944, 1.186] β: 0.0566 (0.0582) |
AUROC: 0.514 [0.49, 0.542] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016050 | PGS003129 (ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_UKB_20211120) |
PSS010033| European Ancestry| 199,694 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.13 [1.077, 1.185] β: 0.122 (0.0244) |
AUROC: 0.53 [0.517, 0.543] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016056 | PGS003130 (ExPRSweb_Thinness_STILTS-UKHLS_PT_UKB_20211120) |
PSS010033| European Ancestry| 199,694 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.106 [1.055, 1.161] β: 0.101 (0.0244) |
AUROC: 0.527 [0.513, 0.542] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016052 | PGS003131 (ExPRSweb_Thinness_STILTS-UKHLS_PLINK_UKB_20211120) |
PSS010033| European Ancestry| 199,694 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.115 [1.06, 1.172] β: 0.109 (0.0257) |
AUROC: 0.521 [0.508, 0.535] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016048 | PGS003132 (ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_UKB_20211120) |
PSS010033| European Ancestry| 199,694 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 0.96 [0.916, 1.005] β: -0.0412 (0.0238) |
AUROC: 0.49 [0.476, 0.505] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016054 | PGS003133 (ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_UKB_20211120) |
PSS010033| European Ancestry| 199,694 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Thinness | OR: 1.166 [1.11, 1.224] β: 0.153 (0.025) |
AUROC: 0.537 [0.523, 0.55] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM017295 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: -0.025 (0.025) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017272 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: -0.002 (0.011) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017340 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in obsese | β: 0.002 (0.018) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017341 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in non-obsese | β: -0.013 (0.013) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017360 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in obsese | β: -0.016 (0.036) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017361 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in non-obsese | β: -0.051 (0.036) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017392 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index x obesity interaction | β: 0.005 (1.005) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017402 | PGS003462 (LDPred2_BMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea x obesity interaction | β: 1.011 (0.051) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017316 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.009 (0.025) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017356 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in obsese | β: 0.025 (0.017) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017357 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in non-obsese | β: 0.015 (0.013) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017377 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in non-obsese | β: -0.002 (0.036) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017293 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.019 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017376 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in obsese | β: 0.012 (0.035) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017400 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index x obesity interaction | β: -0.002 (0.998) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017410 | PGS003484 (LDPred2_WHR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea x obesity interaction | β: 1.015 (0.05) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017294 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.025 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017358 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in obsese | β: 0.028 (0.017) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017359 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in non-obsese | β: 0.029 (0.013) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017378 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in obsese | β: 0.034 (0.035) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017379 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in non-obsese | β: 0.042 (0.035) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017317 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.038 (0.025) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017401 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index x obesity interaction | β: -0.016 (0.984) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017411 | PGS003485 (LDPred2_WHRadjBMI) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea x obesity interaction | β: 0.993 (0.05) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017418 | PGS003490 (cont-decay-ankle_spacing) |
PSS010859| European Ancestry| 11,364 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017502 | PGS003490 (cont-decay-ankle_spacing) |
PSS010775| European Ancestry| 2,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017586 | PGS003490 (cont-decay-ankle_spacing) |
PSS010607| European Ancestry| 3,392 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017670 | PGS003490 (cont-decay-ankle_spacing) |
PSS010523| Greater Middle Eastern Ancestry| 488 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017754 | PGS003490 (cont-decay-ankle_spacing) |
PSS010187| European Ancestry| 1,381 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017838 | PGS003490 (cont-decay-ankle_spacing) |
PSS010439| South Asian Ancestry| 1,978 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017922 | PGS003490 (cont-decay-ankle_spacing) |
PSS010355| East Asian Ancestry| 810 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM018006 | PGS003490 (cont-decay-ankle_spacing) |
PSS010271| African Ancestry| 797 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018090 | PGS003490 (cont-decay-ankle_spacing) |
PSS010691| African Ancestry| 1,412 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Ankle spacing width | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017422 | PGS003494 (cont-decay-birth_weight) |
PSS010903| European Ancestry| 11,297 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017506 | PGS003494 (cont-decay-birth_weight) |
PSS010819| European Ancestry| 2,136 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017590 | PGS003494 (cont-decay-birth_weight) |
PSS010651| European Ancestry| 3,340 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017674 | PGS003494 (cont-decay-birth_weight) |
PSS010567| Greater Middle Eastern Ancestry| 303 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017842 | PGS003494 (cont-decay-birth_weight) |
PSS010483| South Asian Ancestry| 1,501 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017926 | PGS003494 (cont-decay-birth_weight) |
PSS010399| East Asian Ancestry| 713 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018010 | PGS003494 (cont-decay-birth_weight) |
PSS010315| African Ancestry| 838 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017758 | PGS003494 (cont-decay-birth_weight) |
PSS010231| European Ancestry| 1,260 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018094 | PGS003494 (cont-decay-birth_weight) |
PSS010735| African Ancestry| 785 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Birth weight | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017437 | PGS003509 (cont-decay-fat_perc) |
PSS010871| European Ancestry| 19,650 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017521 | PGS003509 (cont-decay-fat_perc) |
PSS010787| European Ancestry| 4,063 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017605 | PGS003509 (cont-decay-fat_perc) |
PSS010619| European Ancestry| 6,371 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017689 | PGS003509 (cont-decay-fat_perc) |
PSS010535| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017773 | PGS003509 (cont-decay-fat_perc) |
PSS010199| European Ancestry| 2,315 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017857 | PGS003509 (cont-decay-fat_perc) |
PSS010451| South Asian Ancestry| 6,129 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018025 | PGS003509 (cont-decay-fat_perc) |
PSS010283| African Ancestry| 2,406 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018109 | PGS003509 (cont-decay-fat_perc) |
PSS010703| African Ancestry| 3,771 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017941 | PGS003509 (cont-decay-fat_perc) |
PSS010367| East Asian Ancestry| 1,767 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body fat percentage | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017441 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010875| European Ancestry| 19,862 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017525 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010791| European Ancestry| 4,094 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017609 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010623| European Ancestry| 6,434 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017693 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010539| Greater Middle Eastern Ancestry| 1,139 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017777 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010203| European Ancestry| 2,336 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM017861 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010455| South Asian Ancestry| 6,171 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017945 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010371| East Asian Ancestry| 1,787 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018029 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010287| African Ancestry| 2,435 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018113 | PGS003513 (cont-decay-hand_grip_strength) |
PSS010707| African Ancestry| 3,819 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Hand grip strength (mean of both) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM017453 | PGS003525 (cont-decay-log_BMI) |
PSS010888| European Ancestry| 19,935 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017537 | PGS003525 (cont-decay-log_BMI) |
PSS010804| European Ancestry| 4,114 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017621 | PGS003525 (cont-decay-log_BMI) |
PSS010636| European Ancestry| 6,459 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017705 | PGS003525 (cont-decay-log_BMI) |
PSS010552| Greater Middle Eastern Ancestry| 1,149 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017789 | PGS003525 (cont-decay-log_BMI) |
PSS010216| European Ancestry| 2,344 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017873 | PGS003525 (cont-decay-log_BMI) |
PSS010468| South Asian Ancestry| 6,093 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017957 | PGS003525 (cont-decay-log_BMI) |
PSS010384| East Asian Ancestry| 1,787 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018041 | PGS003525 (cont-decay-log_BMI) |
PSS010300| African Ancestry| 2,431 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.05 | sex, age, deprivation index, PC1-16 | — |
| PPM018125 | PGS003525 (cont-decay-log_BMI) |
PSS010720| African Ancestry| 3,830 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Body mass index (BMI) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM017459 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010895| European Ancestry| 19,661 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017543 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010811| European Ancestry| 4,062 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017627 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010643| European Ancestry| 6,376 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017711 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010559| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017795 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010223| European Ancestry| 2,318 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017879 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010475| South Asian Ancestry| 6,134 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017963 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010391| East Asian Ancestry| 1,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM018047 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010307| African Ancestry| 2,408 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018131 | PGS003531 (cont-decay-log_fat_free_mass) |
PSS010727| African Ancestry| 3,771 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body fat-free mass | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017552 | PGS003540 (cont-decay-log_impedance) |
PSS010821| European Ancestry| 4,059 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017468 | PGS003540 (cont-decay-log_impedance) |
PSS010905| European Ancestry| 19,653 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017636 | PGS003540 (cont-decay-log_impedance) |
PSS010653| European Ancestry| 6,373 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017720 | PGS003540 (cont-decay-log_impedance) |
PSS010569| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017804 | PGS003540 (cont-decay-log_impedance) |
PSS010233| European Ancestry| 2,316 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017888 | PGS003540 (cont-decay-log_impedance) |
PSS010485| South Asian Ancestry| 6,127 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017972 | PGS003540 (cont-decay-log_impedance) |
PSS010401| East Asian Ancestry| 1,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM018056 | PGS003540 (cont-decay-log_impedance) |
PSS010317| African Ancestry| 2,405 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018140 | PGS003540 (cont-decay-log_impedance) |
PSS010737| African Ancestry| 3,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Impedance of whole body | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017484 | PGS003556 (cont-decay-log_water_mass) |
PSS010922| European Ancestry| 19,662 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017568 | PGS003556 (cont-decay-log_water_mass) |
PSS010838| European Ancestry| 4,063 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.2 | sex, age, deprivation index, PC1-16 | — |
| PPM017652 | PGS003556 (cont-decay-log_water_mass) |
PSS010670| European Ancestry| 6,377 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017736 | PGS003556 (cont-decay-log_water_mass) |
PSS010586| Greater Middle Eastern Ancestry| 1,124 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017820 | PGS003556 (cont-decay-log_water_mass) |
PSS010250| European Ancestry| 2,318 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM018072 | PGS003556 (cont-decay-log_water_mass) |
PSS010334| African Ancestry| 2,408 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018156 | PGS003556 (cont-decay-log_water_mass) |
PSS010754| African Ancestry| 3,773 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017904 | PGS003556 (cont-decay-log_water_mass) |
PSS010502| South Asian Ancestry| 6,134 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017988 | PGS003556 (cont-decay-log_water_mass) |
PSS010418| East Asian Ancestry| 1,770 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Whole body water mass | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017497 | PGS003569 (cont-decay-sitting_height) |
PSS010937| European Ancestry| 19,923 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.25 | sex, age, deprivation index, PC1-16 | — |
| PPM017581 | PGS003569 (cont-decay-sitting_height) |
PSS010853| European Ancestry| 4,111 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.23 | sex, age, deprivation index, PC1-16 | — |
| PPM017665 | PGS003569 (cont-decay-sitting_height) |
PSS010685| European Ancestry| 6,461 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.22 | sex, age, deprivation index, PC1-16 | — |
| PPM017833 | PGS003569 (cont-decay-sitting_height) |
PSS010265| European Ancestry| 2,335 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.21 | sex, age, deprivation index, PC1-16 | — |
| PPM018085 | PGS003569 (cont-decay-sitting_height) |
PSS010349| African Ancestry| 2,430 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018169 | PGS003569 (cont-decay-sitting_height) |
PSS010769| African Ancestry| 3,828 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017749 | PGS003569 (cont-decay-sitting_height) |
PSS010601| Greater Middle Eastern Ancestry| 1,148 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017917 | PGS003569 (cont-decay-sitting_height) |
PSS010517| South Asian Ancestry| 6,072 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM018001 | PGS003569 (cont-decay-sitting_height) |
PSS010433| East Asian Ancestry| 1,788 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: Sitting height | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM018649 | PGS003842 (bmi_EUR_CT) |
PSS011036| European Ancestry| 9,958 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.0192 | — | — |
| PPM018650 | PGS003843 (bmi_EUR_LDpred2) |
PSS011036| European Ancestry| 9,958 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.04099 | — | — |
| PPM018651 | PGS003844 (bmi_AFR_CT) |
PSS011055| African Ancestry| 4,519 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.00111 | — | — |
| PPM018652 | PGS003845 (bmi_AFR_LDpred2) |
PSS011055| African Ancestry| 4,519 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.00051 | — | — |
| PPM018653 | PGS003846 (bmi_AFR_weighted_LDpred2) |
PSS011055| African Ancestry| 4,519 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.00711 | — | — |
| PPM018654 | PGS003847 (bmi_AFR_PRSCSx) |
PSS011055| African Ancestry| 4,519 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.00849 | — | — |
| PPM018655 | PGS003848 (bmi_AFR_CTSLEB) |
PSS011055| African Ancestry| 4,519 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: Body mass index | — | — | R²: 0.01027 | — | — |
| PPM018776 | PGS003884 (BMI_PRScsx_ARB_AMRweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Body mass index | β: 1.18 (0.11) | — | R²: 0.0919 | age, sex, array version, and the first 10 principal components of ancestry | The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR). |
| PPM018777 | PGS003885 (BMI_PRScsx_ARB_ARBweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Body mass index | β: 1.18 (0.11) | — | R²: 0.0919 | age, sex, array version, and the first 10 principal components of ancestry | The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR). |
| PPM018778 | PGS003886 (BMI_PRScsx_ARB_EASweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Body mass index | β: 1.18 (0.11) | — | R²: 0.0919 | age, sex, array version, and the first 10 principal components of ancestry | The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR). |
| PPM018779 | PGS003887 (BMI_PRScsx_ARB_EURweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Body mass index | β: 1.18 (0.11) | — | R²: 0.0919 | age, sex, array version, and the first 10 principal components of ancestry | The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR). |
| PPM018799 | PGS003896 (INI20015) |
PSS011147| European Ancestry| 67,606 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Sitting height | — | — | R²: 0.56702 [0.56211, 0.57193] PGS R2 (no covariates): 0.13337 [0.12861, 0.13814] Incremental R2 (full-covars): 0.13166 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018800 | PGS003896 (INI20015) |
PSS011102| European Ancestry| 2,883 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Sitting height | — | — | R²: 0.56319 [0.53933, 0.58705] PGS R2 (no covariates): 0.14822 [0.12435, 0.17208] Incremental R2 (full-covars): 0.12786 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018801 | PGS003896 (INI20015) |
PSS011114| South Asian Ancestry| 1,448 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Sitting height | — | — | R²: 0.47658 [0.43993, 0.51322] PGS R2 (no covariates): 0.06813 [0.04346, 0.09279] Incremental R2 (full-covars): 0.05017 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018802 | PGS003896 (INI20015) |
PSS011159| African Ancestry| 1,191 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Sitting height | — | — | R²: 0.36181 [0.31873, 0.40489] PGS R2 (no covariates): 0.01877 [0.00368, 0.03386] Incremental R2 (full-covars): 0.00631 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018803 | PGS003896 (INI20015) |
PSS011172| Multi-ancestry (excluding European)| 7,967 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Sitting height | — | — | R²: 0.56286 [0.5485, 0.57722] PGS R2 (no covariates): 0.1462 [0.1319, 0.16049] Incremental R2 (full-covars): 0.10616 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018804 | PGS003897 (INI21001) |
PSS011131| European Ancestry| 67,538 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body mass index (BMI) | — | — | R²: 0.13408 [0.1293, 0.13885] PGS R2 (no covariates): 0.11906 [0.11448, 0.12364] Incremental R2 (full-covars): 0.11579 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018805 | PGS003897 (INI21001) |
PSS011104| European Ancestry| 2,877 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body mass index (BMI) | — | — | R²: 0.1241 [0.10164, 0.14656] PGS R2 (no covariates): 0.11155 [0.08996, 0.13315] Incremental R2 (full-covars): 0.10512 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018806 | PGS003897 (INI21001) |
PSS011114| South Asian Ancestry| 1,448 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body mass index (BMI) | — | — | R²: 0.0829 [0.05612, 0.10967] PGS R2 (no covariates): 0.08942 [0.0618, 0.11703] Incremental R2 (full-covars): 0.08059 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018807 | PGS003897 (INI21001) |
PSS011159| African Ancestry| 1,191 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body mass index (BMI) | — | — | R²: 0.00924 [-0.00145, 0.01994] PGS R2 (no covariates): 0.01761 [0.00298, 0.03223] Incremental R2 (full-covars): 0.00743 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018808 | PGS003897 (INI21001) |
PSS011161| Multi-ancestry (excluding European)| 7,959 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body mass index (BMI) | — | — | R²: 0.13658 [0.12261, 0.15055] PGS R2 (no covariates): 0.10283 [0.09023, 0.11543] Incremental R2 (full-covars): 0.08683 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018809 | PGS003898 (INI21002) |
PSS011142| European Ancestry| 67,561 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Weight | — | — | R²: 0.32755 [0.32176, 0.33335] PGS R2 (no covariates): 0.11144 [0.10697, 0.1159] Incremental R2 (full-covars): 0.10907 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018810 | PGS003898 (INI21002) |
PSS011101| European Ancestry| 2,878 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Weight | — | — | R²: 0.34564 [0.31765, 0.37364] PGS R2 (no covariates): 0.12035 [0.09814, 0.14255] Incremental R2 (full-covars): 0.11103 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018812 | PGS003898 (INI21002) |
PSS011160| African Ancestry| 1,195 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Weight | — | — | R²: 0.04318 [0.02087, 0.0655] PGS R2 (no covariates): 0.01871 [0.00365, 0.03378] Incremental R2 (full-covars): 0.01737 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018813 | PGS003898 (INI21002) |
PSS011171| Multi-ancestry (excluding European)| 7,964 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Weight | — | — | R²: 0.34315 [0.3263, 0.36] PGS R2 (no covariates): 0.1022 [0.08963, 0.11476] Incremental R2 (full-covars): 0.0801 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018811 | PGS003898 (INI21002) |
PSS011117| South Asian Ancestry| 1,473 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Weight | — | — | R²: 0.25281 [0.21471, 0.29091] PGS R2 (no covariates): 0.096 [0.0676, 0.12441] Incremental R2 (full-covars): 0.09952 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018814 | PGS003899 (INI23099) |
PSS011129| European Ancestry| 66,584 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.51746 [0.51223, 0.52269] PGS R2 (no covariates): 0.05601 [0.05265, 0.05938] Incremental R2 (full-covars): 0.05783 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018815 | PGS003899 (INI23099) |
PSS011106| European Ancestry| 2,836 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.49108 [0.46513, 0.51704] PGS R2 (no covariates): 0.06034 [0.04354, 0.07714] Incremental R2 (full-covars): 0.06709 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018816 | PGS003899 (INI23099) |
PSS011116| South Asian Ancestry| 1,455 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.60374 [0.57251, 0.63497] PGS R2 (no covariates): 0.04598 [0.02523, 0.06673] Incremental R2 (full-covars): 0.03132 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018817 | PGS003899 (INI23099) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.5945 [0.55941, 0.62959] PGS R2 (no covariates): 0.00973 [-0.00123, 0.02069] Incremental R2 (full-covars): -0.01506 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018818 | PGS003899 (INI23099) |
PSS011165| Multi-ancestry (excluding European)| 7,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Body fat percentage | — | — | R²: 0.47607 [0.46025, 0.4919] PGS R2 (no covariates): 0.05911 [0.0491, 0.06913] Incremental R2 (full-covars): 0.04525 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018824 | PGS003901 (INI23101) |
PSS011150| European Ancestry| 66,614 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.7632 [0.76009, 0.76632] PGS R2 (no covariates): 0.0533 [0.05, 0.05659] Incremental R2 (full-covars): 0.05378 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018825 | PGS003901 (INI23101) |
PSS011108| European Ancestry| 2,835 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.76255 [0.74746, 0.77764] PGS R2 (no covariates): 0.06277 [0.04568, 0.07986] Incremental R2 (full-covars): 0.05616 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018826 | PGS003901 (INI23101) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.69472 [0.66891, 0.72052] PGS R2 (no covariates): 0.02952 [0.01261, 0.04643] Incremental R2 (full-covars): 0.04458 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018827 | PGS003901 (INI23101) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.5853 [0.54969, 0.6209] PGS R2 (no covariates): 0.00696 [-0.00234, 0.01625] Incremental R2 (full-covars): 0.00196 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018828 | PGS003901 (INI23101) |
PSS011176| Multi-ancestry (excluding European)| 7,842 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body fat-free mass | — | — | R²: 0.75091 [0.74146, 0.76036] PGS R2 (no covariates): 0.03965 [0.03128, 0.04803] Incremental R2 (full-covars): 0.0398 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018829 | PGS003902 (INI23102) |
PSS011120| European Ancestry| 66,617 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body water mass | — | — | R²: 0.76001 [0.75686, 0.76316] PGS R2 (no covariates): 0.0537 [0.0504, 0.057] Incremental R2 (full-covars): 0.0541 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018830 | PGS003902 (INI23102) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body water mass | — | — | R²: 0.75815 [0.74282, 0.77347] PGS R2 (no covariates): 0.0659 [0.04845, 0.08335] Incremental R2 (full-covars): 0.05792 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018831 | PGS003902 (INI23102) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body water mass | — | — | R²: 0.69263 [0.66668, 0.71857] PGS R2 (no covariates): 0.02973 [0.01276, 0.04669] Incremental R2 (full-covars): 0.04434 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018832 | PGS003902 (INI23102) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body water mass | — | — | R²: 0.58375 [0.54806, 0.61944] PGS R2 (no covariates): 0.00794 [-0.00198, 0.01785] Incremental R2 (full-covars): 0.00256 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018833 | PGS003902 (INI23102) |
PSS011176| Multi-ancestry (excluding European)| 7,842 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Whole body water mass | — | — | R²: 0.74875 [0.73923, 0.75827] PGS R2 (no covariates): 0.03942 [0.03107, 0.04777] Incremental R2 (full-covars): 0.0395 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018839 | PGS003904 (INI23106) |
PSS011124| European Ancestry| 66,607 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.52234 [0.51714, 0.52754] PGS R2 (no covariates): 0.08468 [0.08067, 0.08869] Incremental R2 (full-covars): 0.08345 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018840 | PGS003904 (INI23106) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.50682 [0.48127, 0.53237] PGS R2 (no covariates): 0.08188 [0.06276, 0.101] Incremental R2 (full-covars): 0.08098 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018842 | PGS003904 (INI23106) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.27918 [0.23643, 0.32192] PGS R2 (no covariates): 0.02692 [0.009, 0.04483] Incremental R2 (full-covars): 0.02486 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018843 | PGS003904 (INI23106) |
PSS011162| Multi-ancestry (excluding European)| 7,839 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.49232 [0.47672, 0.50792] PGS R2 (no covariates): 0.05296 [0.04342, 0.06251] Incremental R2 (full-covars): 0.051 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018841 | PGS003904 (INI23106) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of whole body | — | — | R²: 0.41749 [0.37932, 0.45566] PGS R2 (no covariates): 0.05569 [0.03309, 0.07829] Incremental R2 (full-covars): 0.05788 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018844 | PGS003905 (INI23107) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.30322 [0.29744, 0.309] PGS R2 (no covariates): 0.11129 [0.10682, 0.11575] Incremental R2 (full-covars): 0.11033 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018845 | PGS003905 (INI23107) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.29712 [0.26924, 0.325] PGS R2 (no covariates): 0.10545 [0.08431, 0.12659] Incremental R2 (full-covars): 0.10793 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018846 | PGS003905 (INI23107) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.18556 [0.14998, 0.22114] PGS R2 (no covariates): 0.07372 [0.04821, 0.09923] Incremental R2 (full-covars): 0.07276 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018847 | PGS003905 (INI23107) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.07294 [0.04484, 0.10104] PGS R2 (no covariates): 0.01761 [0.00298, 0.03224] Incremental R2 (full-covars): 0.0172 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018848 | PGS003905 (INI23107) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (right) | — | — | R²: 0.282 [0.2653, 0.29869] PGS R2 (no covariates): 0.07892 [0.06759, 0.09025] Incremental R2 (full-covars): 0.06951 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018849 | PGS003906 (INI23108) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.29131 [0.28554, 0.29707] PGS R2 (no covariates): 0.11128 [0.10682, 0.11575] Incremental R2 (full-covars): 0.1103 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018850 | PGS003906 (INI23108) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.28648 [0.25868, 0.31427] PGS R2 (no covariates): 0.10226 [0.08137, 0.12316] Incremental R2 (full-covars): 0.10474 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018851 | PGS003906 (INI23108) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.19957 [0.1633, 0.23583] PGS R2 (no covariates): 0.08533 [0.05823, 0.11242] Incremental R2 (full-covars): 0.08283 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018852 | PGS003906 (INI23108) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.07203 [0.04408, 0.09998] PGS R2 (no covariates): 0.02151 [0.0054, 0.03762] Incremental R2 (full-covars): 0.0219 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018853 | PGS003906 (INI23108) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of leg (left) | — | — | R²: 0.27848 [0.26181, 0.29515] PGS R2 (no covariates): 0.08259 [0.07104, 0.09413] Incremental R2 (full-covars): 0.07424 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018854 | PGS003907 (INI23109) |
PSS011122| European Ancestry| 66,610 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.57729 [0.57246, 0.58213] PGS R2 (no covariates): 0.05608 [0.05271, 0.05945] Incremental R2 (full-covars): 0.05556 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018855 | PGS003907 (INI23109) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.58628 [0.56322, 0.60933] PGS R2 (no covariates): 0.05833 [0.04177, 0.07488] Incremental R2 (full-covars): 0.05518 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018856 | PGS003907 (INI23109) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.52227 [0.48726, 0.55729] PGS R2 (no covariates): 0.03782 [0.01884, 0.0568] Incremental R2 (full-covars): 0.04181 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018857 | PGS003907 (INI23109) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.36871 [0.32569, 0.41173] Incremental R2 (full-covars): 0.01718 PGS R2 (no covariates): 0.02183 [0.00561, 0.03804] |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018858 | PGS003907 (INI23109) |
PSS011162| Multi-ancestry (excluding European)| 7,839 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (right) | — | — | R²: 0.57591 [0.56182, 0.59] PGS R2 (no covariates): 0.04377 [0.03501, 0.05253] Incremental R2 (full-covars): 0.0406 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018859 | PGS003908 (INI23110) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.5866 [0.58183, 0.59137] PGS R2 (no covariates): 0.0592 [0.05575, 0.06264] Incremental R2 (full-covars): 0.05807 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018860 | PGS003908 (INI23110) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.58205 [0.55884, 0.60526] PGS R2 (no covariates): 0.05843 [0.04186, 0.07499] Incremental R2 (full-covars): 0.05408 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018861 | PGS003908 (INI23110) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.52117 [0.48611, 0.55622] PGS R2 (no covariates): 0.04856 [0.0273, 0.06983] Incremental R2 (full-covars): 0.04761 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018862 | PGS003908 (INI23110) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.39016 [0.34741, 0.43291] PGS R2 (no covariates): 0.02085 [0.00498, 0.03672] Incremental R2 (full-covars): 0.0167 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018863 | PGS003908 (INI23110) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Impedance of arm (left) | — | — | R²: 0.57525 [0.56114, 0.58935] PGS R2 (no covariates): 0.04258 [0.03393, 0.05123] Incremental R2 (full-covars): 0.04258 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018864 | PGS003909 (INI23111) |
PSS011151| European Ancestry| 66,613 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.76654 [0.76347, 0.76962] PGS R2 (no covariates): 0.02481 [0.02249, 0.02712] Incremental R2 (full-covars): 0.02626 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018865 | PGS003909 (INI23111) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.75264 [0.73703, 0.76826] PGS R2 (no covariates): 0.02118 [0.01081, 0.03155] Incremental R2 (full-covars): 0.031 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018866 | PGS003909 (INI23111) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.79999 [0.78185, 0.81814] PGS R2 (no covariates): 0.01403 [0.00219, 0.02587] Incremental R2 (full-covars): 0.01075 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018867 | PGS003909 (INI23111) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.7946 [0.77405, 0.81515] PGS R2 (no covariates): 0.00591 [-0.00267, 0.01448] Incremental R2 (full-covars): -0.00577 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018868 | PGS003909 (INI23111) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (right) | — | — | R²: 0.7457 [0.73608, 0.75532] PGS R2 (no covariates): 0.02078 [0.0146, 0.02696] Incremental R2 (full-covars): 0.018 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018875 | PGS003911 (INI23113) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (right) | — | — | R²: 0.70978 [0.69199, 0.72758] PGS R2 (no covariates): 0.05905 [0.04241, 0.07569] Incremental R2 (full-covars): 0.05628 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018876 | PGS003911 (INI23113) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (right) | — | — | R²: 0.64574 [0.61687, 0.67461] PGS R2 (no covariates): 0.02445 [0.00898, 0.03992] Incremental R2 (full-covars): 0.03723 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018877 | PGS003911 (INI23113) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (right) | — | — | R²: 0.51803 [0.4791, 0.55696] PGS R2 (no covariates): 0.00607 [-0.00262, 0.01476] Incremental R2 (full-covars): -0.00277 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018878 | PGS003911 (INI23113) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (right) | — | — | R²: 0.70396 [0.69308, 0.71484] PGS R2 (no covariates): 0.03588 [0.02789, 0.04388] Incremental R2 (full-covars): 0.03684 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018874 | PGS003911 (INI23113) |
PSS011122| European Ancestry| 66,610 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (right) | — | — | R²: 0.70245 [0.69869, 0.70621] PGS R2 (no covariates): 0.05367 [0.05037, 0.05697] Incremental R2 (full-covars): 0.0537 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018879 | PGS003912 (INI23115) |
PSS011123| European Ancestry| 66,609 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.78716 [0.78432, 0.79001] PGS R2 (no covariates): 0.02265 [0.02044, 0.02487] Incremental R2 (full-covars): 0.02424 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018880 | PGS003912 (INI23115) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.77429 [0.75983, 0.78874] PGS R2 (no covariates): 0.01845 [0.00874, 0.02815] Incremental R2 (full-covars): 0.02867 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018881 | PGS003912 (INI23115) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.83462 [0.81929, 0.84994] PGS R2 (no covariates): 0.01713 [0.00409, 0.03018] Incremental R2 (full-covars): 0.01262 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018882 | PGS003912 (INI23115) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.81111 [0.79202, 0.8302] PGS R2 (no covariates): 0.00463 [-0.00297, 0.01223] Incremental R2 (full-covars): -0.0031 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018883 | PGS003912 (INI23115) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat percentage (left) | — | — | R²: 0.76995 [0.76111, 0.77879] PGS R2 (no covariates): 0.0179 [0.01214, 0.02365] Incremental R2 (full-covars): 0.01686 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018889 | PGS003914 (INI23117) |
PSS011124| European Ancestry| 66,607 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (left) | — | — | R²: 0.69704 [0.69323, 0.70085] PGS R2 (no covariates): 0.05413 [0.05082, 0.05744] Incremental R2 (full-covars): 0.05384 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018890 | PGS003914 (INI23117) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (left) | — | — | R²: 0.70089 [0.68266, 0.71911] PGS R2 (no covariates): 0.05971 [0.04299, 0.07643] Incremental R2 (full-covars): 0.05733 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018892 | PGS003914 (INI23117) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (left) | — | — | R²: 0.50439 [0.46489, 0.54389] PGS R2 (no covariates): 0.00566 [-0.00274, 0.01405] Incremental R2 (full-covars): -0.00128 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018893 | PGS003914 (INI23117) |
PSS011177| Multi-ancestry (excluding European)| 7,841 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (left) | — | — | R²: 0.69898 [0.68796, 0.71] PGS R2 (no covariates): 0.03894 [0.03063, 0.04724] Incremental R2 (full-covars): 0.03936 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018891 | PGS003914 (INI23117) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Leg fat-free mass (left) | — | — | R²: 0.65569 [0.62741, 0.68396] PGS R2 (no covariates): 0.02557 [0.00977, 0.04137] Incremental R2 (full-covars): 0.04081 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018894 | PGS003915 (INI23119) |
PSS011124| European Ancestry| 66,607 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.51448 [0.50923, 0.51972] PGS R2 (no covariates): 0.0514 [0.04816, 0.05464] Incremental R2 (full-covars): 0.05223 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018895 | PGS003915 (INI23119) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.48202 [0.45585, 0.50819] PGS R2 (no covariates): 0.04956 [0.03416, 0.06496] Incremental R2 (full-covars): 0.05557 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018896 | PGS003915 (INI23119) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.64938 [0.62073, 0.67803] PGS R2 (no covariates): 0.03254 [0.01484, 0.05023] Incremental R2 (full-covars): 0.01567 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018897 | PGS003915 (INI23119) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.61773 [0.58402, 0.65145] PGS R2 (no covariates): 0.00987 [-0.00117, 0.02092] Incremental R2 (full-covars): -0.01807 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018898 | PGS003915 (INI23119) |
PSS011178| Multi-ancestry (excluding European)| 7,840 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (right) | — | — | R²: 0.48191 [0.46617, 0.49766] PGS R2 (no covariates): 0.04991 [0.04062, 0.05921] Incremental R2 (full-covars): 0.0412 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018904 | PGS003917 (INI23121) |
PSS011135| European Ancestry| 66,605 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (right) | — | — | R²: 0.76312 [0.76, 0.76624] PGS R2 (no covariates): 0.04183 [0.03888, 0.04479] Incremental R2 (full-covars): 0.04246 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018905 | PGS003917 (INI23121) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (right) | — | — | R²: 0.76262 [0.74753, 0.7777] PGS R2 (no covariates): 0.05531 [0.03914, 0.07148] Incremental R2 (full-covars): 0.04628 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018907 | PGS003917 (INI23121) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (right) | — | — | R²: 0.64409 [0.61204, 0.67615] PGS R2 (no covariates): 0.00928 [-0.00143, 0.02] Incremental R2 (full-covars): 0.00249 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018908 | PGS003917 (INI23121) |
PSS011178| Multi-ancestry (excluding European)| 7,840 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (right) | — | — | R²: 0.76131 [0.75219, 0.77043] PGS R2 (no covariates): 0.03229 [0.02468, 0.0399] Incremental R2 (full-covars): 0.03087 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018906 | PGS003917 (INI23121) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (right) | — | — | R²: 0.72486 [0.70111, 0.74862] PGS R2 (no covariates): 0.02572 [0.00987, 0.04157] Incremental R2 (full-covars): 0.03555 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018909 | PGS003918 (INI23123) |
PSS011133| European Ancestry| 66,600 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.51854 [0.51332, 0.52377] PGS R2 (no covariates): 0.05245 [0.04918, 0.05572] Incremental R2 (full-covars): 0.0534 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018910 | PGS003918 (INI23123) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.48337 [0.45723, 0.50951] PGS R2 (no covariates): 0.04795 [0.03277, 0.06312] Incremental R2 (full-covars): 0.05574 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018911 | PGS003918 (INI23123) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.62439 [0.59429, 0.65449] PGS R2 (no covariates): 0.03768 [0.01873, 0.05662] Incremental R2 (full-covars): 0.01993 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018912 | PGS003918 (INI23123) |
PSS011158| African Ancestry| 1,169 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.60637 [0.57197, 0.64077] PGS R2 (no covariates): 0.00965 [-0.00127, 0.02056] Incremental R2 (full-covars): -0.0166 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018913 | PGS003918 (INI23123) |
PSS011178| Multi-ancestry (excluding European)| 7,840 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat percentage (left) | — | — | R²: 0.48038 [0.46461, 0.49615] PGS R2 (no covariates): 0.0511 [0.04171, 0.0605] Incremental R2 (full-covars): 0.04319 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018919 | PGS003920 (INI23125) |
PSS011130| European Ancestry| 66,591 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (left) | — | — | R²: 0.73845 [0.73506, 0.74183] PGS R2 (no covariates): 0.0462 [0.04311, 0.04928] Incremental R2 (full-covars): 0.04641 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018920 | PGS003920 (INI23125) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (left) | — | — | R²: 0.74029 [0.72403, 0.75655] PGS R2 (no covariates): 0.0595 [0.0428, 0.07619] Incremental R2 (full-covars): 0.0506 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018921 | PGS003920 (INI23125) |
PSS011118| South Asian Ancestry| 1,457 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (left) | — | — | R²: 0.67307 [0.64587, 0.70027] PGS R2 (no covariates): 0.03556 [0.01712, 0.05401] Incremental R2 (full-covars): 0.0433 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018922 | PGS003920 (INI23125) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (left) | — | — | R²: 0.58307 [0.54734, 0.6188] PGS R2 (no covariates): 0.00737 [-0.00219, 0.01694] Incremental R2 (full-covars): 0.00113 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018923 | PGS003920 (INI23125) |
PSS011162| Multi-ancestry (excluding European)| 7,839 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Arm fat-free mass (left) | — | — | R²: 0.73548 [0.72554, 0.74541] PGS R2 (no covariates): 0.03563 [0.02766, 0.0436] Incremental R2 (full-covars): 0.03443 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018924 | PGS003921 (INI23127) |
PSS011128| European Ancestry| 66,582 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.27379 [0.26807, 0.27952] PGS R2 (no covariates): 0.08028 [0.07635, 0.0842] Incremental R2 (full-covars): 0.08082 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018926 | PGS003921 (INI23127) |
PSS011119| South Asian Ancestry| 1,456 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.31316 [0.27418, 0.35214] PGS R2 (no covariates): 0.06997 [0.04502, 0.09491] Incremental R2 (full-covars): 0.05643 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018927 | PGS003921 (INI23127) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.32278 [0.2796, 0.36596] PGS R2 (no covariates): 0.01113 [-0.00058, 0.02284] Incremental R2 (full-covars): -0.03274 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018928 | PGS003921 (INI23127) |
PSS011163| Multi-ancestry (excluding European)| 7,838 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.23709 [0.22083, 0.25336] PGS R2 (no covariates): 0.0811 [0.06964, 0.09256] Incremental R2 (full-covars): 0.06338 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018925 | PGS003921 (INI23127) |
PSS011105| European Ancestry| 2,837 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat percentage | — | — | R²: 0.25282 [0.22547, 0.28016] PGS R2 (no covariates): 0.09086 [0.07091, 0.1108] Incremental R2 (full-covars): 0.09109 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018934 | PGS003923 (INI23129) |
PSS011126| European Ancestry| 66,571 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.77028 [0.76725, 0.77332] PGS R2 (no covariates): 0.05342 [0.05012, 0.05671] Incremental R2 (full-covars): 0.05378 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018935 | PGS003923 (INI23129) |
PSS011106| European Ancestry| 2,836 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.76786 [0.75305, 0.78266] PGS R2 (no covariates): 0.06983 [0.05194, 0.08772] Incremental R2 (full-covars): 0.05846 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018936 | PGS003923 (INI23129) |
PSS011116| South Asian Ancestry| 1,455 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.68418 [0.65769, 0.71067] PGS R2 (no covariates): 0.02869 [0.012, 0.04537] Incremental R2 (full-covars): 0.0457 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018937 | PGS003923 (INI23129) |
PSS011157| African Ancestry| 1,168 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.58996 [0.55462, 0.62531] PGS R2 (no covariates): 0.00863 [-0.0017, 0.01897] Incremental R2 (full-covars): 0.00562 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM018938 | PGS003923 (INI23129) |
PSS011163| Multi-ancestry (excluding European)| 7,838 individuals |
PGP000502 | Tanigawa Y et al. AJHG (2023) |
Reported Trait: Trunk fat-free mass | — | — | R²: 0.75247 [0.74306, 0.76187] PGS R2 (no covariates): 0.04065 [0.03218, 0.04912] Incremental R2 (full-covars): 0.04164 |
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) | — |
| PPM019170 | PGS003980 (dbslmm.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.26843 [0.26409874, 0.27276962] | — | R²: 0.07206 [0.06974814, 0.07440327] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019171 | PGS003980 (dbslmm.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.21006 [0.19953717, 0.22058832] | — | R²: 0.04413 [0.03981508, 0.04865921] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019172 | PGS003980 (dbslmm.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28302 [0.27574162, 0.29030332] | — | R²: 0.0801 [0.07603344, 0.08427602] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019173 | PGS003980 (dbslmm.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23645 [0.216484, 0.25642174] | — | R²: 0.05591 [0.04686532, 0.06575211] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019174 | PGS003980 (dbslmm.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28337 [0.27709575, 0.28965043] | — | R²: 0.08004 [0.0765343, 0.08362665] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019205 | PGS003996 (lassosum.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.24937 [0.24501056, 0.25372744] | — | R²: 0.06218 [0.06003017, 0.06437762] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019206 | PGS003996 (lassosum.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.21681 [0.2062981, 0.22731752] | — | R²: 0.04701 [0.04255891, 0.05167326] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019207 | PGS003996 (lassosum.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.25672 [0.24938567, 0.26405929] | — | R²: 0.06591 [0.06219321, 0.06972731] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019208 | PGS003996 (lassosum.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.2328 [0.21280855, 0.25278257] | — | R²: 0.05419 [0.04528748, 0.06389903] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019209 | PGS003996 (lassosum.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.2558 [0.24946557, 0.26212558] | — | R²: 0.06518 [0.0619901, 0.06844156] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019210 | PGS004012 (lassosum.CV.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.27473 [0.2704039, 0.27905879] | — | R²: 0.07548 [0.07311827, 0.07787381] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019211 | PGS004012 (lassosum.CV.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.20034 [0.18979579, 0.21089082] | — | R²: 0.04014 [0.03602244, 0.04447494] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019212 | PGS004012 (lassosum.CV.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28629 [0.27901425, 0.29356123] | — | R²: 0.08196 [0.07784895, 0.0861782] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019213 | PGS004012 (lassosum.CV.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.24618 [0.22625822, 0.26609656] | — | R²: 0.0606 [0.05119278, 0.07080738] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019214 | PGS004012 (lassosum.CV.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.29892 [0.29267634, 0.30517115] | — | R²: 0.08904 [0.08535971, 0.09280356] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019182 | PGS004022 (ldpred2.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.22725 [0.21985446, 0.23463971] | — | R²: 0.05164 [0.04833598, 0.05505579] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019183 | PGS004022 (ldpred2.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.20804 [0.18794087, 0.22814482] | — | R²: 0.04328 [0.03532177, 0.05205006] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019184 | PGS004022 (ldpred2.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23174 [0.22536146, 0.23811607] | — | R²: 0.05337 [0.05047134, 0.05634598] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019180 | PGS004022 (ldpred2.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.22444 [0.22005792, 0.22882952] | — | R²: 0.05037 [0.04842549, 0.05236295] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019181 | PGS004022 (ldpred2.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.18252 [0.1719363, 0.19310618] | — | R²: 0.03331 [0.02956209, 0.03729] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019155 | PGS004037 (ldpred2.CV.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.27279 [0.26845664, 0.27711651] | — | R²: 0.07441 [0.07206897, 0.07679356] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019156 | PGS004037 (ldpred2.CV.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.17614 [0.16554609, 0.186741] | — | R²: 0.03103 [0.02740551, 0.0348722] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019157 | PGS004037 (ldpred2.CV.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28307 [0.27579244, 0.29035391] | — | R²: 0.08013 [0.07606147, 0.08430539] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019158 | PGS004037 (ldpred2.CV.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23025 [0.2102471, 0.25024606] | — | R²: 0.05301 [0.04420384, 0.06262309] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019159 | PGS004037 (ldpred2.CV.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.29441 [0.28815228, 0.30067312] | — | R²: 0.08628 [0.08264766, 0.08998614] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019193 | PGS004050 (megaprs.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.20292 [0.18279319, 0.22304137] | — | R²: 0.04118 [0.03341335, 0.04974745] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019194 | PGS004050 (megaprs.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23169 [0.22532819, 0.23804671] | — | R²: 0.05363 [0.05072909, 0.05661746] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019190 | PGS004050 (megaprs.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.22924 [0.2248582, 0.23361975] | — | R²: 0.05255 [0.05056121, 0.05457819] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019191 | PGS004050 (megaprs.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.19661 [0.18605402, 0.20716533] | — | R²: 0.03866 [0.0346161, 0.04291747] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019192 | PGS004050 (megaprs.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.236 [0.22862038, 0.243374] | — | R²: 0.05569 [0.05226728, 0.0592309] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019185 | PGS004066 (megaprs.CV.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.27372 [0.2693923, 0.27804978] | — | R²: 0.07492 [0.07257221, 0.07731168] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019186 | PGS004066 (megaprs.CV.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.19873 [0.18818337, 0.20928546] | — | R²: 0.0395 [0.03541298, 0.0438004] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019187 | PGS004066 (megaprs.CV.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28643 [0.27916024, 0.29370656] | — | R²: 0.08204 [0.07793044, 0.08626354] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019188 | PGS004066 (megaprs.CV.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.24111 [0.22116501, 0.26105567] | — | R²: 0.05813 [0.04891396, 0.06815006] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019189 | PGS004066 (megaprs.CV.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.29808 [0.29184031, 0.3043238] | — | R²: 0.08873 [0.08505567, 0.09248782] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019200 | PGS004080 (prscs.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.26849 [0.26415754, 0.27282828] | — | R²: 0.07209 [0.06977921, 0.07443527] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019201 | PGS004080 (prscs.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.20035 [0.18980286, 0.21089786] | — | R²: 0.04014 [0.03602513, 0.04447791] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019202 | PGS004080 (prscs.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.27952 [0.27223139, 0.28680867] | — | R²: 0.07813 [0.07410993, 0.08225921] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019203 | PGS004080 (prscs.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23887 [0.21891146, 0.25882491] | — | R²: 0.05706 [0.04792223, 0.06699033] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019204 | PGS004080 (prscs.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28279 [0.27650197, 0.2890766] | — | R²: 0.07951 [0.07600924, 0.08307987] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019198 | PGS004096 (prscs.CV.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.21196 [0.19187341, 0.2320428] | — | R²: 0.04493 [0.03681541, 0.05384386] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019195 | PGS004096 (prscs.CV.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.26769 [0.26335586, 0.27202861] | — | R²: 0.07166 [0.06935631, 0.07399956] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019196 | PGS004096 (prscs.CV.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.16504 [0.15441873, 0.17565504] | — | R²: 0.02724 [0.02384514, 0.03085469] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019197 | PGS004096 (prscs.CV.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.27794 [0.27064679, 0.28523104] | — | R²: 0.07725 [0.07324969, 0.08135675] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019199 | PGS004096 (prscs.CV.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.29179 [0.2855138, 0.29805786] | — | R²: 0.08459 [0.0809905, 0.08826347] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019160 | PGS004104 (pt_clump.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.13262 [0.12815653, 0.13707827] | — | R²: 0.01759 [0.0164241, 0.01879045] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019161 | PGS004104 (pt_clump.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.13437 [0.12370159, 0.14503789] | — | R²: 0.01806 [0.01530208, 0.02103599] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019162 | PGS004104 (pt_clump.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.13976 [0.13224403, 0.14727748] | — | R²: 0.01953 [0.01748848, 0.02169066] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019163 | PGS004104 (pt_clump.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.13361 [0.11323944, 0.15397423] | — | R²: 0.01785 [0.01282317, 0.02370806] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019164 | PGS004104 (pt_clump.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.12888 [0.12237833, 0.1353791] | — | R²: 0.01651 [0.01488272, 0.01821279] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019150 | PGS004120 (pt_clump_nested.CV.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.22681 [0.22242211, 0.23118879] | — | R²: 0.05144 [0.04947159, 0.05344825] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019151 | PGS004120 (pt_clump_nested.CV.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.13234 [0.12167305, 0.14301522] | — | R²: 0.01751 [0.01480433, 0.02045335] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019152 | PGS004120 (pt_clump_nested.CV.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23703 [0.22965904, 0.24440882] | — | R²: 0.05619 [0.05274327, 0.05973567] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019153 | PGS004120 (pt_clump_nested.CV.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.18732 [0.16713032, 0.20750606] | — | R²: 0.03509 [0.02793254, 0.04305877] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019154 | PGS004120 (pt_clump_nested.CV.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.24564 [0.23930704, 0.25197718] | — | R²: 0.06032 [0.05724885, 0.06347143] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019175 | PGS004134 (sbayesr.auto.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23628 [0.23190327, 0.24064966] | — | R²: 0.05583 [0.05377913, 0.05791226] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019176 | PGS004134 (sbayesr.auto.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.18382 [0.17323688, 0.19440155] | — | R²: 0.03379 [0.03001102, 0.03779196] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019177 | PGS004134 (sbayesr.auto.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.23811 [0.2307331, 0.2454789] | — | R²: 0.05669 [0.05323776, 0.06025989] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019178 | PGS004134 (sbayesr.auto.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.2074 [0.18730003, 0.22750955] | — | R²: 0.04302 [0.0350813, 0.0517606] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019179 | PGS004134 (sbayesr.auto.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.24019 [0.23383228, 0.24654538] | — | R²: 0.05746 [0.05445611, 0.06053846] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019165 | PGS004150 (UKBB_EnsPGS.GCST002783.BMI) |
PSS011214| European Ancestry| 189,651 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.28774 [0.2834321, 0.29205267] | — | R²: 0.0828 [0.08033376, 0.08529476] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019166 | PGS004150 (UKBB_EnsPGS.GCST002783.BMI) |
PSS011237| South Asian Ancestry| 33,146 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.21492 [0.20440118, 0.22542961] | — | R²: 0.04619 [0.04177984, 0.05081851] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019167 | PGS004150 (UKBB_EnsPGS.GCST002783.BMI) |
PSS011253| European Ancestry| 66,663 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.2987 [0.29145188, 0.30594123] | — | R²: 0.08922 [0.0849442, 0.09360004] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019168 | PGS004150 (UKBB_EnsPGS.GCST002783.BMI) |
PSS011281| South Asian Ancestry| 9,097 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.25738 [0.23751738, 0.27723596] | — | R²: 0.06624 [0.05641451, 0.07685978] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019169 | PGS004150 (UKBB_EnsPGS.GCST002783.BMI) |
PSS011267| European Ancestry| 89,976 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Body Mass Index | β: 0.31034 [0.30411171, 0.31656673] | — | R²: 0.09586 [0.09205552, 0.09975027] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM020149 | PGS004216 (bmi_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Body mass index (weight/height) | — | — | R²: 0.13038 | year of birth, sex | — |
| PPM020150 | PGS004217 (bmi_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Body mass index (weight/height) | — | — | R²: 0.13102 | year of birth, sex | — |
| PPM020151 | PGS004218 (bmi_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Body mass index (weight/height) | — | — | R²: 0.13038 | year of birth, sex | — |
| PPM020152 | PGS004219 (bmi_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Body mass index (weight/height) | — | — | R²: 0.12915 | year of birth, sex | — |
| PPM020153 | PGS004220 (bmi_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Body mass index (weight/height) | — | — | R²: 0.13038 | year of birth, sex | — |
| PPM020403 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index | — | — | Beta (per effect allele): 0.34 | — | — |
| PPM020404 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index in females | — | — | Beta (per effect allele): 0.37 | — | — |
| PPM020405 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index in males | — | — | Beta (per effect allele): 0.27 | — | — |
| PPM020406 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x SASH language use subscale interaction | — | — | Beta (per effect allele): 0.17 (0.02) | age, sex, top 5 principal components, and study site | — |
| PPM020407 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x SASH language use subscale interaction in females | — | — | Beta (per effect allele): 0.15 (0.03) | age, sex, top 5 principal components, and study site | — |
| PPM020408 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x SASH language use subscale interaction in males | — | — | Beta (per effect allele): 0.22 (0.03) | age, sex, top 5 principal components, and study site | — |
| PPM020409 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x nativity interaction | — | — | Beta (per effect allele): 0.19 (0.03) | age, sex, top 5 principal components, and study site | — |
| PPM020410 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x nativity interaction in females | — | — | Beta (per effect allele): 0.23 (0.04) | age, sex, top 5 principal components, and study site | — |
| PPM020411 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x nativity interaction in males | — | — | Beta (per effect allele): 0.15 (0.03) | age, sex, top 5 principal components, and study site | — |
| PPM020412 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x time in United States interaction | — | — | Beta (per effect allele): 0.09 (0.01) | age, sex, top 5 principal components, and study site | — |
| PPM020413 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x time in United States interaction in females | — | — | Beta (per effect allele): 0.11 (0.01) | age, sex, top 5 principal components, and study site | — |
| PPM020414 | PGS004319 (GRS103_BMI) |
PSS011351| Hispanic or Latin American Ancestry| 11,747 individuals |
PGP000549 | Fernández-Rhodes L et al. Psychosom Med (2023) |
Reported Trait: Body mass index x time in United States interaction in males | — | — | Beta (per effect allele): 0.06 (0.01) | age, sex, top 5 principal components, and study site | — |
| PPM020488 | PGS004373 (X23098.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: weight | — | — | PGS R2 (no covariates): 0.28791 | — | — |
| PPM020489 | PGS004374 (X23099.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Body fat percentage | — | — | PGS R2 (no covariates): 0.21041 | — | — |
| PPM020491 | PGS004376 (X23101.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Whole body fat-free mass | — | — | PGS R2 (no covariates): 0.21574 | — | — |
| PPM020492 | PGS004377 (X23102.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Whole body water mass | — | — | PGS R2 (no covariates): 0.21586 | — | — |
| PPM020493 | PGS004378 (X23104.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Body mass index (BMI) | — | — | PGS R2 (no covariates): 0.29967 | — | — |
| PPM020500 | PGS004385 (X23111.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat percentage (right) | — | — | PGS R2 (no covariates): 0.16671 | — | — |
| PPM020502 | PGS004387 (X23113.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat-free mass (right) | — | — | PGS R2 (no covariates): 0.2114 | — | — |
| PPM020503 | PGS004388 (X23114.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg predicted mass (right) | — | — | PGS R2 (no covariates): 0.21007 | — | — |
| PPM020504 | PGS004389 (X23115.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat percentage (left) | — | — | PGS R2 (no covariates): 0.16533 | — | — |
| PPM020506 | PGS004391 (X23117.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg fat-free mass (left) | — | — | PGS R2 (no covariates): 0.21267 | — | — |
| PPM020507 | PGS004392 (X23118.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Leg predicted mass (left) | — | — | PGS R2 (no covariates): 0.21103 | — | — |
| PPM020508 | PGS004393 (X23119.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat percentage (right) | — | — | PGS R2 (no covariates): 0.2087 | — | — |
| PPM020510 | PGS004395 (X23121.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat-free mass (right) | — | — | PGS R2 (no covariates): 0.19961 | — | — |
| PPM020511 | PGS004396 (X23122.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm predicted mass (right) | — | — | PGS R2 (no covariates): 0.19851 | — | — |
| PPM020512 | PGS004397 (X23123.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat percentage (left) | — | — | PGS R2 (no covariates): 0.20905 | — | — |
| PPM020514 | PGS004399 (X23125.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm fat-free mass (left) | — | — | PGS R2 (no covariates): 0.20419 | — | — |
| PPM020515 | PGS004400 (X23126.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Arm predicted mass (left) | — | — | PGS R2 (no covariates): 0.20289 | — | — |
| PPM020516 | PGS004401 (X23127.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Trunk fat percentage | — | — | PGS R2 (no covariates): 0.24805 | — | — |
| PPM020518 | PGS004403 (X23129.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Trunk fat-free mass | — | — | PGS R2 (no covariates): 0.21407 | — | — |
| PPM020519 | PGS004404 (X23130.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Trunk predicted mass | — | — | PGS R2 (no covariates): 0.21244 | — | — |
| PPM020523 | PGS004408 (X20015.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Sitting height | — | — | PGS R2 (no covariates): 0.28011 | — | — |
| PPM020524 | PGS004409 (X21001.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Body mass index (BMI) | — | — | PGS R2 (no covariates): 0.30053 | — | — |
| PPM020525 | PGS004410 (X21002.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Weight | — | — | PGS R2 (no covariates): 0.27906 | — | — |
| PPM020527 | PGS004412 (X3143.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Ankle spacing width | — | — | PGS R2 (no covariates): 0.27264 | — | — |
| PPM020531 | PGS004416 (X4100.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Ankle spacing width (left) | — | — | PGS R2 (no covariates): 0.22747 | — | — |
| PPM020536 | PGS004421 (X4119.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Ankle spacing width (right) | — | — | PGS R2 (no covariates): 0.22842 | — | — |
| PPM020541 | PGS004426 (X20022.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Birth weight | — | — | PGS R2 (no covariates): 0.13912 | — | — |
| PPM020543 | PGS004428 (X46.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Hand grip strength (left) | — | — | PGS R2 (no covariates): 0.12037 | — | — |
| PPM020544 | PGS004429 (X47.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Hand grip strength (right) | — | — | PGS R2 (no covariates): 0.11968 | — | — |
| PPM020771 | PGS004609 (adult_BMI) |
PSS011401| European Ancestry| 5,774 individuals |
PGP000585 | Hawkes G et al. Diabetologia (2023) |
Reported Trait: Adulthood body mass index (at age 44 years) | OR: 1.55 [1.43, 1.67] | — | — | — | Odds ratio for having a BMI greater than 1 standard deviation from the mean |
| PPM020772 | PGS004609 (adult_BMI) |
PSS011402| European Ancestry| 4,704 individuals |
PGP000585 | Hawkes G et al. Diabetologia (2023) |
Reported Trait: Childhood body mass index (at age 11 years) | OR: 1.32 [1.2, 1.44] | — | — | — | Odds ratio for having a BMI greater than 1 standard deviation from the mean |
| PPM020773 | PGS004610 (child_BMI) |
PSS011402| European Ancestry| 4,704 individuals |
PGP000585 | Hawkes G et al. Diabetologia (2023) |
Reported Trait: Childhood body mass index (at age 11 years) | OR: 1.32 [1.21, 1.44] | — | — | — | Odds ratio for having a BMI greater than 1 standard deviation from the mean |
| PPM020774 | PGS004610 (child_BMI) |
PSS011401| European Ancestry| 5,774 individuals |
PGP000585 | Hawkes G et al. Diabetologia (2023) |
Reported Trait: Adulthood body mass index (at age 44 years) | OR: 1.16 [1.08, 1.25] | — | — | — | Odds ratio for having a BMI greater than 1 standard deviation from the mean |
| PPM020958 | PGS004733 (bmi_PRSmix_eur) |
PSS011484| European Ancestry| 8,967 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Body mass index | — | — | Incremental R2 (Full model versus model with only covariates): 0.152 [0.138, 0.165] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020959 | PGS004734 (bmi_PRSmix_sas) |
PSS011485| South Asian Ancestry| 6,644 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Body mass index | — | — | Incremental R2 (Full model versus model with only covariates): 0.06 [0.049, 0.071] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020960 | PGS004735 (bmi_PRSmixPlus_eur) |
PSS011484| European Ancestry| 8,967 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Body mass index | — | — | Incremental R2 (Full model versus model with only covariates): 0.161 [0.147, 0.175] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020961 | PGS004736 (bmi_PRSmixPlus_sas) |
PSS011485| South Asian Ancestry| 6,644 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Body mass index | — | — | Incremental R2 (Full model versus model with only covariates): 0.067 [0.056, 0.079] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021100 | PGS004864 (PRS186_BMI) |
PSS011528| Ancestry Not Reported| 767 individuals |
PGP000611 | de Toro-Martín J et al. JCI Insight (2018) |
Reported Trait: Low weight loss following bariatric surgery | — | AUROC: 0.888 | NRI: 0.638 [0.466, 0.809] IDI: 0.066 [0.041, 0.091] |
Age, sex, initial body mass index, and type of surgery | — |
| PPM021324 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 7 in males | — | — | Beta (per quartile increase): 0.61 [0.47, 0.75] | — | — |
| PPM021325 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 18 in males | — | — | Beta (per quartile increase): 1.98 [1.65, 2.32] | — | — |
| PPM021328 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in males | — | — | Beta (median vs. 1st quartile): -0.36 [-0.46, -0.27] | — | — |
| PPM021329 | PGS004900 (GRS_BMI_males) |
PSS011687| European Ancestry| 2,690 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in males | — | — | Beta (3rd quartile vs. 1st quartile): -0.65 [-0.8, -0.49] | — | — |
| PPM021326 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 7 in females | — | — | Beta (per quartile increase): 0.39 [0.24, 0.55] | — | — |
| PPM021327 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Body mass index at age 18 in females | — | — | Beta (per quartile increase): 0.75 [0.4, 1.09] | — | — |
| PPM021330 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in females | — | — | Beta (median vs. 1st quartile): -0.31 [-0.41, -0.21] | — | — |
| PPM021331 | PGS004901 (GRS_BMI_females) |
PSS011686| European Ancestry| 2,576 individuals |
PGP000630 | Wu Y et al. PLoS Genet (2020) |
Reported Trait: Age at adiposity rebound in females | — | — | Beta (3rd quartile vs. 1st quartile): -0.57 [-0.74, -0.39] | — | — |
| PPM021332 | PGS004902 (PRSBMI) |
PSS011688| African Ancestry| 10,180 individuals |
PGP000631 | Chikowore T et al. Genome Med (2024) |
Reported Trait: Body Mass index | — | — | R²: 0.3008 Incremental R2: 0.92 |
age, sex, 5PCs | — |
| PPM022115 | PGS004982 (mean_BMI_INT_ldpred_AFRss_afrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.132 [0.12, 0.14] | — | R²: 0.018 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022121 | PGS004982 (mean_BMI_INT_ldpred_AFRss_afrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.157 [0.14, 0.17] | — | R²: 0.027 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022127 | PGS004982 (mean_BMI_INT_ldpred_AFRss_afrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.156 [0.14, 0.17] | — | R²: 0.025 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022117 | PGS004983 (mean_BMI_INT_ldpred_EURss_eurld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.258 [0.25, 0.27] | — | R²: 0.067 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022129 | PGS004983 (mean_BMI_INT_ldpred_EURss_eurld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.217 [0.2, 0.23] | — | R²: 0.048 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022123 | PGS004983 (mean_BMI_INT_ldpred_EURss_eurld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.112 [0.1, 0.13] | — | R²: 0.014 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022116 | PGS004984 (mean_BMI_INT_ldpred_HISss_amrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.163 [0.15, 0.17] | — | R²: 0.027 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022122 | PGS004984 (mean_BMI_INT_ldpred_HISss_amrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.101 [0.09, 0.11] | — | R²: 0.011 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022128 | PGS004984 (mean_BMI_INT_ldpred_HISss_amrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.199 [0.18, 0.22] | — | R²: 0.04 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022112 | PGS004985 (mean_BMI_INT_ldpred_METAss_afrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.286 [0.28, 0.29] | — | R²: 0.083 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022124 | PGS004985 (mean_BMI_INT_ldpred_METAss_afrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.304 [0.29, 0.32] | — | R²: 0.095 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022118 | PGS004985 (mean_BMI_INT_ldpred_METAss_afrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.205 [0.19, 0.22] | — | R²: 0.047 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022113 | PGS004986 (mean_BMI_INT_ldpred_METAss_amrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.293 [0.28, 0.3] | — | R²: 0.087 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022119 | PGS004986 (mean_BMI_INT_ldpred_METAss_amrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.21 [0.2, 0.22] | — | R²: 0.049 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022125 | PGS004986 (mean_BMI_INT_ldpred_METAss_amrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.305 [0.29, 0.32] | — | R²: 0.095 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022114 | PGS004987 (mean_BMI_INT_ldpred_METAss_eurld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.312 [0.3, 0.32] | — | R²: 0.099 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022120 | PGS004987 (mean_BMI_INT_ldpred_METAss_eurld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.185 [0.17, 0.2] | — | R²: 0.038 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022126 | PGS004987 (mean_BMI_INT_ldpred_METAss_eurld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.27 [0.25, 0.29] | — | R²: 0.075 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022024 | PGS004988 (mean_BMI_INT_prscs_AFRss_afrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.116 [0.1, 0.13] | — | R²: 0.015 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022031 | PGS004988 (mean_BMI_INT_prscs_AFRss_afrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.128 [0.11, 0.14] | — | R²: 0.017 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022017 | PGS004988 (mean_BMI_INT_prscs_AFRss_afrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.11 [0.1, 0.12] | — | R²: 0.012 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022019 | PGS004989 (mean_BMI_INT_prscs_EURss_eurld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.331 [0.32, 0.34] | — | R²: 0.111 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022026 | PGS004989 (mean_BMI_INT_prscs_EURss_eurld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.177 [0.16, 0.19] | — | R²: 0.035 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022033 | PGS004989 (mean_BMI_INT_prscs_EURss_eurld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.313 [0.3, 0.33] | — | R²: 0.1 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022018 | PGS004990 (mean_BMI_INT_prscs_HISss_amrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.157 [0.15, 0.17] | — | R²: 0.025 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022025 | PGS004990 (mean_BMI_INT_prscs_HISss_amrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.091 [0.08, 0.1] | — | R²: 0.009 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022032 | PGS004990 (mean_BMI_INT_prscs_HISss_amrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.182 [0.17, 0.2] | — | R²: 0.034 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022014 | PGS004991 (mean_BMI_INT_prscs_METAss_afrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.261 [0.25, 0.27] | — | R²: 0.069 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022021 | PGS004991 (mean_BMI_INT_prscs_METAss_afrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.186 [0.17, 0.2] | — | R²: 0.038 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022028 | PGS004991 (mean_BMI_INT_prscs_METAss_afrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.286 [0.27, 0.3] | — | R²: 0.084 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022015 | PGS004992 (mean_BMI_INT_prscs_METAss_amrld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.302 [0.29, 0.31] | — | R²: 0.092 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022022 | PGS004992 (mean_BMI_INT_prscs_METAss_amrld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.208 [0.19, 0.22] | — | R²: 0.048 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022029 | PGS004992 (mean_BMI_INT_prscs_METAss_amrld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.3 [0.28, 0.32] | — | R²: 0.092 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022016 | PGS004993 (mean_BMI_INT_prscs_METAss_eurld) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.307 [0.3, 0.32] | — | R²: 0.095 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022023 | PGS004993 (mean_BMI_INT_prscs_METAss_eurld) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.194 [0.18, 0.21] | — | R²: 0.042 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022030 | PGS004993 (mean_BMI_INT_prscs_METAss_eurld) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.282 [0.27, 0.3] | — | R²: 0.082 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022013 | PGS004994 (mean_BMI_INT_prscsx_METAweight) |
PSS011822| European Ancestry| 44,889 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.33 [0.32, 0.34] | — | R²: 0.11 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022020 | PGS004994 (mean_BMI_INT_prscsx_METAweight) |
PSS011802| African Ancestry| 19,059 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.222 [0.21, 0.24] | — | R²: 0.055 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022027 | PGS004994 (mean_BMI_INT_prscsx_METAweight) |
PSS011812| Hispanic or Latin American Ancestry| 12,857 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Body mass index (BMI) | β: 0.32 [0.3, 0.34] | — | R²: 0.105 | score previously adjusted for age, sex, 20 PCs | — |
| PPM022186 | PGS005095 (WHRadjBMI_GRS) |
PSS011834| Multi-ancestry (including European)| 1,415 individuals |
PGP000686 | Christiansen MR et al. Diabetes (2023) |
Reported Trait: Waist circumference change following weight loss (year 1 to year 2) | β: 0.033 (0.01) | — | — | Intervention arm, sex, baseline age, 4 PCs, baseline weight, baseline height, baseline WC, year-1 weight and waist circumference, year-2 weight | — |
| PPM022187 | PGS005095 (WHRadjBMI_GRS) |
PSS011834| Multi-ancestry (including European)| 1,415 individuals |
PGP000686 | Christiansen MR et al. Diabetes (2023) |
Reported Trait: Waist circumference change following weight loss (year 1 to year 4) | β: 0.026 (0.01) | — | — | Intervention arm, sex, baseline age, 4 PCs, baseline weight, baseline height, baseline WC, year-1 weight and waist circumference, year-4 weight | — |
| PPM022305 | PGS005114 (PGS_BMI) |
PSS011911| Multi-ancestry (including European)| 48,603 individuals |
PGP000701 | Loesch DP et al. Nat Commun (2025) |
Reported Trait: body mass index | β: 1.32 [1.28, 1.36] | — | — | age, age^2, sex, UKB centre, array, genetic PCS 1-20 | — |
| PPM022316 | PGS005114 (PGS_BMI) |
PSS011912| European Ancestry| 45,356 individuals |
PGP000701 | Loesch DP et al. Nat Commun (2025) |
Reported Trait: body mass index | β: 1.34 [1.3, 1.39] | — | — | age, age^2, sex, UKB centre, array, genetic PCS 1-20 | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS005180 | — | — | 66,204 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009157 | — | — | 2,149 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009162 | — | — | 2,139 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009179 | — | — | 4,073 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009187 | — | — | 4,105 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011441 | — | — | [ ,
82.0 % Male samples |
Mean = 27.5 years | African unspecified | — | PDAY | — |
| PSS011442 | — | — | [ ,
77.0 % Male samples |
Mean = 26.7 years | European | — | PDAY | — |
| PSS007271 | — | — | 3,560 individuals | — | African unspecified | — | UKB | — |
| PSS007272 | — | — | 781 individuals | — | East Asian | — | UKB | — |
| PSS007273 | — | — | 10,636 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007274 | — | — | 5,043 individuals | — | South Asian | — | UKB | — |
| PSS007275 | — | — | 25,716 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009203 | — | — | 4,124 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010187 | — | — | 1,381 individuals, 46.0 % Male samples |
Mean = 57.7 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010199 | — | — | 2,315 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS009217 | — | — | 4,072 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010203 | — | — | 2,336 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS009224 | — | — | 4,069 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS007301 | — | — | 3,592 individuals | — | African unspecified | — | UKB | — |
| PSS007302 | — | — | 782 individuals | — | East Asian | — | UKB | — |
| PSS007303 | — | — | 10,633 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007304 | — | — | 5,041 individuals | — | South Asian | — | UKB | — |
| PSS007305 | — | — | 25,728 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010216 | — | — | 2,344 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010223 | — | — | 2,318 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010231 | — | — | 1,260 individuals, 39.0 % Male samples |
Mean = 57.0 years Sd = 7.2 years |
European | Ashkenazi | UKB | — |
| PSS009246 | — | — | 4,073 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010233 | — | — | 2,316 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS009264 | — | — | 4,122 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010250 | — | — | 2,318 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS007346 | — | — | 6,406 individuals | — | African unspecified | — | UKB | — |
| PSS007347 | — | — | 1,696 individuals | — | East Asian | — | UKB | — |
| PSS007348 | — | — | 24,787 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007349 | — | — | 7,727 individuals | — | South Asian | — | UKB | — |
| PSS007350 | — | — | 67,154 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007351 | — | — | 6,401 individuals | — | African unspecified | — | UKB | — |
| PSS007352 | — | — | 1,696 individuals | — | East Asian | — | UKB | — |
| PSS007353 | — | — | 24,789 individuals | — | European | non-white British ancestry | UKB | — |
| PSS000037 | — | — | 288,016 individuals, 45.0 % Male samples |
— | European | — | UKB | — |
| PSS007354 | — | — | 7,741 individuals | — | South Asian | — | UKB | — |
| PSS007355 | — | — | 67,185 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010271 | — | — | 797 individuals, 35.0 % Male samples |
Mean = 52.3 years Sd = 8.2 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010265 | — | — | 2,335 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS009295 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010283 | — | — | 2,406 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010287 | — | — | 2,435 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS000045 | BMI difference between ages 21 and 45 | — | 1,699 individuals, 100.0 % Male samples |
— | European | — | HPFS | — |
| PSS000046 | BMI difference between ages 45 and 65 | — | 1,634 individuals, 100.0 % Male samples |
— | European | — | HPFS | — |
| PSS000047 | BMI difference between ages 65 and 80 | — | 2,020 individuals, 100.0 % Male samples |
— | European | — | HPFS | — |
| PSS000048 | BMI difference between ages 18 and 45 | — | 5,956 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000049 | BMI difference between age 18 and Menopause | — | 6,705 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000050 | BMI difference between ages 45 and 65 | — | 5,640 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000051 | BMI difference between ages 65 and 80 | — | 2,942 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS000052 | BMI difference between Menopause and age 65 | — | 6,436 individuals, 0.0 % Male samples |
— | European | — | NHS | — |
| PSS010300 | — | — | 2,431 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010307 | — | — | 2,408 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011484 | — | — | 8,967 individuals | — | European | — | AllofUs | — |
| PSS011485 | — | — | 6,644 individuals | — | South Asian | — | G&H | — |
| PSS010315 | — | — | 838 individuals, 34.0 % Male samples |
Mean = 50.5 years Sd = 7.6 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010317 | — | — | 2,405 individuals, 36.0 % Male samples |
Mean = 52.4 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010334 | — | — | 2,408 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010895 | — | — | 19,661 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010349 | — | — | 2,430 individuals, 36.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011401 | — | — | 5,774 individuals | — | European | — | NCDS | — |
| PSS010355 | — | — | 810 individuals, 35.0 % Male samples |
Mean = 51.9 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS011402 | — | — | 4,704 individuals | — | European | — | NCDS | — |
| PSS010367 | — | — | 1,767 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS009383 | — | — | 11,502 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010371 | — | — | 1,787 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS009388 | — | — | 11,255 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010384 | — | — | 1,787 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS011528 | Of the 767 participants, 147 were assigned to the low weight loss (LWL) trajectory group following biliopancreatic diversion with duodenal switch whilst 620 were assigned to the high weight loss and normal weight loss (HWL+NWL) trajectory group following biliopancreatic diversion with duodenal switch. Of the 147 individuals within the LWL trajectory group, 34 underwent biliopancreatic diversion with duodenal switch via laparoscopy whilst 112 underwent the same procedure via open surgery. Of the 620 individuals within the HWL+NWL trajectory group, 396 underwent biliopancreatic diversion with duodenal switch via laparoscopy whilst 217 underwent the same procedure via open surgery. On the eve of the surgery, height and body weight were measured and used to calculate the initial BMI as the weight in kilograms divided by the square of the height in meters. Body weight was further measured during postoperative visits or phone calls thorough a follow-up period of 8 years. Percentage of excess body weight loss (EBWL) was then calculated at each follow-up time point (3, 6, 12, 24, 36, 48, 60, 72, 84, and 96 months) as the difference between actual body weight loss (calculated initial BMI minus actual BMI) and ideal body weight loss (calculated as the initial BMI minus ideal BMI fixed at 25 kg/m2). | — | 767 individuals, 28.16 % Male samples |
— | Not reported | — | NR | Participants were obtained from the Bariatric Surgery Clinic of the Quebec Heart and Lung Institute. |
| PSS009405 | — | — | 19,632 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010391 | — | — | 1,770 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS009413 | — | — | 19,855 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010399 | — | — | 713 individuals, 27.0 % Male samples |
Mean = 50.5 years Sd = 7.2 years |
East Asian | Chinese | UKB | — |
| PSS010401 | — | — | 1,770 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS009429 | — | — | 19,937 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010418 | — | — | 1,770 individuals, 34.0 % Male samples |
Mean = 52.4 years Sd = 7.7 years |
East Asian | Chinese | UKB | — |
| PSS009443 | — | — | 19,637 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS005174 | — | — | 7,645 individuals | — | South Asian | — | UKB | — |
| PSS010433 | — | — | 1,788 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS009450 | — | — | 19,624 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS005175 | — | — | 66,210 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010439 | — | — | 1,978 individuals, 56.0 % Male samples |
Mean = 52.7 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS005176 | — | — | 6,298 individuals | — | African unspecified | — | UKB | — |
| PSS005177 | — | — | 1,677 individuals | — | East Asian | — | UKB | — |
| PSS010451 | — | — | 6,129 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010455 | — | — | 6,171 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS009472 | — | — | 19,641 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010468 | — | — | 6,093 individuals, 53.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010475 | — | — | 6,134 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS009490 | — | — | 19,908 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010483 | — | — | 1,501 individuals, 49.0 % Male samples |
Mean = 51.1 years Sd = 8.2 years |
South Asian | Indian | UKB | — |
| PSS010485 | — | — | 6,127 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS007221 | — | — | 2,253 individuals | — | African unspecified | — | UKB | — |
| PSS010502 | — | — | 6,134 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010517 | — | — | 6,072 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010523 | — | — | 488 individuals, 65.0 % Male samples |
Mean = 51.1 years Sd = 7.6 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010535 | — | — | 1,123 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010539 | — | — | 1,139 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010552 | — | — | 1,149 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010559 | — | — | 1,124 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010567 | — | — | 303 individuals, 55.0 % Male samples |
Mean = 51.1 years Sd = 7.8 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010569 | — | — | 1,123 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010586 | — | — | 1,124 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS009565 | Clinically measured BMI | — | 33,511 individuals, 46.9 % Male samples |
Mean = 60.2 years Sd = 16.9 years |
European | — | MGBB | — |
| PSS010601 | — | — | 1,148 individuals, 60.0 % Male samples |
Mean = 52.0 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010607 | — | — | 3,392 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS010619 | — | — | 6,371 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010623 | — | — | 6,434 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010636 | — | — | 6,459 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010643 | — | — | 6,376 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS011686 | Birth length (crown-heel) was measured by ALSPAC staff who visited newborns soon after birth (median 1 day, range 1-14 days), using a Harpenden Neonatometer (Holtain Ltd). Birth weight was extracted from medical records. From birth to five years, length and weight mea- surements were extracted from health visitor records, which form part of standard childcare in the UK. In this cohort we had up to four measurements taken on average at six weeks and at 10, 21, and 48 months of age. For a random 10% of the cohort, we also have length/height mea- surements from eight research clinic visits, held between the ages of four months and five years of age. From age seven years upwards, all children were invited to annual clinics. In addi- tion, parent-reported child height and weight were also available from the questionnaires. BMI was derived from height and weight measurements (mean 9 measurements per individual) and calculated as the weight (in kg) divided by the square of height (in cm). | Mean = 20.0 years | 2,576 individuals, 0.0 % Male samples |
— | European | — | ALSPAC | — |
| PSS010651 | — | — | 3,340 individuals, 39.0 % Male samples |
Mean = 52.8 years Sd = 8.2 years |
European | Italian | UKB | — |
| PSS011687 | Birth length (crown-heel) was measured by ALSPAC staff who visited newborns soon after birth (median 1 day, range 1-14 days), using a Harpenden Neonatometer (Holtain Ltd). Birth weight was extracted from medical records. From birth to five years, length and weight mea- surements were extracted from health visitor records, which form part of standard childcare in the UK. In this cohort we had up to four measurements taken on average at six weeks and at 10, 21, and 48 months of age. For a random 10% of the cohort, we also have length/height mea- surements from eight research clinic visits, held between the ages of four months and five years of age. From age seven years upwards, all children were invited to annual clinics. In addi- tion, parent-reported child height and weight were also available from the questionnaires. BMI was derived from height and weight measurements (mean 9 measurements per individual) and calculated as the weight (in kg) divided by the square of height (in cm). | Mean = 20.0 years | 2,690 individuals, 100.0 % Male samples |
— | European | — | ALSPAC | — |
| PSS010653 | — | — | 6,373 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS011688 | — | — | 10,180 individuals, 45.0 % Male samples |
Mean = 51.8 years | African unspecified (Continental Africans) |
— | AWI-Gen | — |
| PSS010670 | — | — | 6,377 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010685 | — | — | 6,461 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010691 | — | — | 1,412 individuals, 49.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010703 | — | — | 3,771 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010707 | — | — | 3,819 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010720 | — | — | 3,830 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010727 | — | — | 3,771 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010735 | — | — | 785 individuals, 39.0 % Male samples |
Mean = 50.4 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010737 | — | — | 3,770 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010754 | — | — | 3,773 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010769 | — | — | 3,828 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS003760 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003761 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003762 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003763 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003764 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010775 | — | — | 2,148 individuals, 40.0 % Male samples |
Mean = 54.3 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS007744 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010787 | — | — | 4,063 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010791 | — | — | 4,094 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010804 | — | — | 4,114 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010811 | — | — | 4,062 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010819 | — | — | 2,136 individuals, 34.0 % Male samples |
Mean = 52.8 years Sd = 7.2 years |
European | Polish | UKB | — |
| PSS010821 | — | — | 4,059 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS000847 | Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. | — | 3,997 individuals | Mean = 17.8 years | European | — | ALSPAC | ALSPAC offspring |
| PSS000848 | Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. | — | 2,199 individuals, 0.0 % Male samples |
Mean = 50.8 years | European | — | ALSPAC | ALSPAC mothers |
| PSS000849 | Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. | — | 5,898 individuals | Mean = 9.9 years | European | — | ALSPAC | ALSPAC offspring |
| PSS010838 | — | — | 4,063 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010853 | — | — | 4,111 individuals, 38.0 % Male samples |
Mean = 54.3 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010859 | — | — | 11,364 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 7.8 years |
European | white British | UKB | — |
| PSS007827 | — | — | 801 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007832 | — | — | 840 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010871 | — | — | 19,650 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010875 | — | — | 19,862 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS007849 | — | — | 2,418 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010888 | — | — | 19,935 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS007857 | — | — | 2,448 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000875 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000876 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000877 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000878 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force. | — | [
|
— | European | — | HUNT | — |
| PSS000879 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000880 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000881 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000882 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000883 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000884 | BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. | — | [
|
— | European | — | HUNT | — |
| PSS000885 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 42.4 years Sd = 12.6 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000886 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 42.6 years Sd = 12.8 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000887 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 47.6 years Sd = 16.1 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000888 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 47.1 years Sd = 16.5 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS007873 | — | — | 2,444 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000889 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 52.3 years Sd = 14.5 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000890 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 51.2 years Sd = 15.0 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000892 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
0.0 % Male samples |
Mean = 58.9 years Sd = 11.9 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS000891 | Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35. | — | [ ,
100.0 % Male samples |
Mean = 60.2 years Sd = 11.5 years |
European | — | HUNT | number o cases = number of observations (more than 1 pp) |
| PSS010903 | — | — | 11,297 individuals, 39.0 % Male samples |
Mean = 55.5 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS010905 | — | — | 19,653 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS007887 | — | — | 2,420 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010922 | — | — | 19,662 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS007894 | — | — | 2,417 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010937 | — | — | 19,923 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS007916 | — | — | 2,420 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000911 | — | — | 13,989 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS011792 | — | — | 213 individuals | — | European | — | NR | — |
| PSS011792 | — | — | 23 individuals | — | Not reported | — | NR | — |
| PSS007934 | — | — | 2,443 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009695 | — | — | 6,399 individuals | — | African unspecified | — | UKB | — |
| PSS009696 | — | — | 916 individuals | — | East Asian | — | UKB | — |
| PSS009697 | — | — | 43,328 individuals | — | European | Non-British European | UKB | — |
| PSS009698 | — | — | 7,911 individuals | — | South Asian | — | UKB | — |
| PSS007963 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011802 | — | — | 19,059 individuals | — | African American or Afro-Caribbean | — | AllofUs | — |
| PSS011812 | — | — | 12,857 individuals | — | Hispanic or Latin American | — | AllofUs | — |
| PSS011822 | — | — | 44,889 individuals | — | European | — | AllofUs | — |
| PSS008041 | — | — | 819 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008046 | — | — | 714 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011834 | — | — | 952 individuals | — | European | — | Look AHEAD | — |
| PSS011834 | — | — | 187 individuals | — | African unspecified | — | Look AHEAD | — |
| PSS011834 | — | — | 233 individuals | — | Hispanic or Latin American | — | Look AHEAD | — |
| PSS011834 | — | — | 43 individuals | — | Not reported | — | Look AHEAD | — |
| PSS008062 | — | — | 1,779 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008070 | — | — | 1,799 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008086 | — | — | 1,799 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008100 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008107 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS004911 | — | — | 6,398 individuals | — | African unspecified | — | UKB | — |
| PSS008129 | — | — | 1,782 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009867 | — | — | 6,423 individuals | — | African unspecified | — | UKB | — |
| PSS009868 | — | — | 917 individuals | — | East Asian | — | UKB | — |
| PSS009869 | — | — | 43,384 individuals | — | European | Non-British European | UKB | — |
| PSS009870 | — | — | 8,026 individuals | — | South Asian | — | UKB | — |
| PSS008146 | — | — | 1,800 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS000991 | Cases were individuals defined as obese (BMI ≥ 30kg/m2) | — | [ ,
48.23 % Male samples |
— | European (French-Canadian) |
— | FAS | — |
| PSS000992 | Cases were individuals defined as obese (BMI ≥ 30kg/m2) | — | [ ,
43.5 % Male samples |
— | European (French-Canadian) |
— | QFS | — |
| PSS011036 | — | — | 9,958 individuals, 47.0 % Male samples |
Mean = 56.86 years Sd = 8.05 years |
European | — | UKB | — |
| PSS008177 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011055 | — | — | 4,519 individuals, 42.0 % Male samples |
Mean = 51.82 years Sd = 8.06 years |
African American or Afro-Caribbean (African American) |
— | UKB | — |
| PSS011911 | ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD. BMI: baseline body mass index | Median = 14.8 years | 48,603 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 8.2 years |
European, East Asian, South Asian, Hispanic or Latin American, African unspecified | — | UKB | — |
| PSS011912 | ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD, K76.0 for NAFLD. BMI: baseline body mass index | Median = 14.8 years | 45,356 individuals, 46.0 % Male samples |
Mean = 57.1 years Sd = 8.1 years |
European | — | UKB | — |
| PSS008263 | — | — | 1,985 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009916 | — | — | 369 individuals, 38.8 % Male samples |
Mean = 44.6 years | African unspecified | — | BHS | — |
| PSS009917 | — | — | 832 individuals, 45.1 % Male samples |
Mean = 45.4 years | European | — | BHS | — |
| PSS008268 | — | — | 1,505 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008285 | — | — | 6,180 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008293 | — | — | 6,223 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
| PSS008309 | — | — | 6,145 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008323 | — | — | 6,185 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009937 | — | — | 449 individuals, 48.3 % Male samples |
— | African American or Afro-Caribbean | — | NR | — |
| PSS009938 | — | — | 6,064 individuals, 47.9 % Male samples |
— | European | — | NR | — |
| PSS008330 | — | — | 6,178 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011101 | — | — | 2,878 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011102 | — | — | 2,883 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS008352 | — | — | 6,185 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011104 | — | — | 2,877 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011106 | — | — | 2,836 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011105 | — | — | 2,837 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011108 | — | — | 2,835 individuals | — | European (non-white British ancestry) |
— | UKB | — |
| PSS011974 | — | — | 6,251 individuals | — | European | — | CARTaGENE | — |
| PSS011974 | — | — | 516 individuals | — | Not reported | — | CARTaGENE | — |
| PSS011114 | — | — | 1,448 individuals | — | South Asian | — | UKB | — |
| PSS011116 | — | — | 1,455 individuals | — | South Asian | — | UKB | — |
| PSS011117 | — | — | 1,473 individuals | — | South Asian | — | UKB | — |
| PSS011118 | — | — | 1,457 individuals | — | South Asian | — | UKB | — |
| PSS011119 | — | — | 1,456 individuals | — | South Asian | — | UKB | — |
| PSS011120 | — | — | 66,617 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS008370 | — | — | 6,123 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011122 | — | — | 66,610 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011124 | — | — | 66,607 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011123 | — | — | 66,609 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011126 | — | — | 66,571 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011128 | — | — | 66,582 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011129 | — | — | 66,584 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011130 | — | — | 66,591 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011131 | — | — | 67,538 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011133 | — | — | 66,600 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011135 | — | — | 66,605 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011142 | — | — | 67,561 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011147 | — | — | 67,606 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS008398 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011150 | — | — | 66,614 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011151 | — | — | 66,613 individuals | — | European (white British ancestry) |
— | UKB | — |
| PSS011157 | — | — | 1,168 individuals | — | African unspecified | — | UKB | — |
| PSS011158 | — | — | 1,169 individuals | — | African unspecified | — | UKB | — |
| PSS011159 | — | — | 1,191 individuals | — | African unspecified | — | UKB | — |
| PSS011160 | — | — | 1,195 individuals | — | African unspecified | — | UKB | — |
| PSS011161 | — | — | 7,959 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011162 | — | — | 7,839 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011163 | — | — | 7,838 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011165 | — | — | 7,837 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011171 | — | — | 7,964 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011172 | — | — | 7,967 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011176 | — | — | 7,842 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011177 | — | — | 7,841 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS011178 | — | — | 7,840 individuals | — | East Asian, Other admixed ancestry | East Asian, Other admixed ancestry | UKB | — |
| PSS008485 | — | — | 507 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008490 | — | — | 303 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008507 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008515 | — | — | 1,168 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008531 | — | — | 1,178 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008545 | — | — | 1,152 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001083 | Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L). | — | 2,531 individuals, 40.0 % Male samples |
Mean = 48.0 years Sd = 12.0 years |
European, Asian unspecified, Hispanic or Latin American, African unspecified, NR | European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152 | NR | Participants were obtained from the Scientific Wellness Program. |
| PSS008552 | — | — | 1,151 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000369 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 334 individuals, 69.2 % Male samples |
Mean = 11.1 years Sd = 0.48 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000370 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 329 individuals, 69.2 % Male samples |
Mean = 12.81 years Sd = 0.59 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000371 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 288 individuals, 69.2 % Male samples |
Mean = 15.83 years Sd = 0.6 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000372 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 265 individuals, 69.2 % Male samples |
Mean = 19.2 years Sd = 0.66 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000373 | Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 245 individuals, 69.2 % Male samples |
Mean = 22.04 years Sd = 0.69 years |
European | — | TRAILS, TRAILSCC | TRAILS Clinical Cohort |
| PSS000374 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,318 individuals, 47.6 % Male samples |
Mean = 11.1 years | European | — | TRAILS | — |
| PSS000375 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,313 individuals, 47.6 % Male samples |
Mean = 13.5 years | European | — | TRAILS | — |
| PSS000376 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,354 individuals, 47.56 % Male samples |
Mean = 16.22 years Sd = 0.66 years |
European | — | TRAILS | — |
| PSS000377 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,174 individuals, 47.6 % Male samples |
Mean = 19.2 years | European | — | TRAILS | — |
| PSS000378 | We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). | — | 1,095 individuals, 47.6 % Male samples |
Mean = 22.4 years | European | — | TRAILS | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS008574 | — | — | 1,152 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008592 | — | — | 1,175 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008623 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS009997 | body mass (kg) divided by the square of the body height (m); Quantitative | — | 23,382 individuals | — | European | — | MGI | — |
| PSS000411 | 59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | [
|
— | European | — | UKB | — |
| PSS000412 | 59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | [
|
— | European | — | UKB | — |
| PSS000413 | All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | 206,612 individuals, 100.0 % Male samples |
Mean = 57.0 years Sd = 8.1 years |
European | — | UKB | — |
| PSS000413 | All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). | — | 244,896 individuals, 0.0 % Male samples |
Mean = 57.0 years Sd = 7.9 years |
European | — | UKB | — |
| PSS010017 | Body mass index (<19, thin low BMI; 19~40, control, normal BMI); Binary | — | [
|
— | European | — | MGI | — |
| PSS008711 | — | — | 3,469 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011214 | — | — | 189,651 individuals | — | European | — | EB | — |
| PSS008716 | — | — | 3,422 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010033 | Body mass index (<19, thin low BMI; 19~40, control, normal BMI); Binary | — | [
|
— | European | — | UKB | — |
| PSS008733 | — | — | 6,533 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011237 | — | — | 33,146 individuals | — | South Asian | — | G&H | — |
| PSS008741 | — | — | 6,598 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011253 | — | — | 66,663 individuals | — | European | — | HUNT | — |
| PSS008757 | — | — | 6,622 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011267 | — | — | 89,976 individuals | — | European | — | UKB | — |
| PSS008771 | — | — | 6,538 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008778 | — | — | 6,535 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011281 | — | — | 9,097 individuals | — | South Asian | — | UKB | — |
| PSS008800 | — | — | 6,539 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | UKB | — |
| PSS008818 | — | — | 6,623 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011301 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011302 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011303 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011305 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS008848 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS004886 | — | — | 6,403 individuals | — | African unspecified | — | UKB | — |
| PSS004887 | — | — | 1,698 individuals | — | East Asian | — | UKB | — |
| PSS004888 | — | — | 24,825 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004889 | — | — | 7,645 individuals | — | South Asian | — | UKB | — |
| PSS004890 | — | — | 67,301 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004896 | — | — | 1,708 individuals | — | African unspecified | — | UKB | — |
| PSS004897 | — | — | 609 individuals | — | East Asian | — | UKB | — |
| PSS004898 | — | — | 12,908 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004899 | — | — | 1,908 individuals | — | South Asian | — | UKB | — |
| PSS004900 | — | — | 39,107 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010096 | — | — | 52,760 individuals | — | European | — | UKB | — |
| PSS010096 | — | — | 11,323 individuals | — | African unspecified (Black) |
— | UKB | — |
| PSS010096 | — | — | 1,091 individuals | — | Asian unspecified | — | UKB | — |
| PSS010097 | — | — | 390,459 individuals | — | European | — | eMERGE | — |
| PSS010097 | — | — | 3,018 individuals | — | African unspecified (Black) |
— | eMERGE | — |
| PSS010097 | — | — | 8,169 individuals | — | Asian unspecified | — | eMERGE | — |
| PSS010097 | — | — | 3,786 individuals | — | Other | — | eMERGE | — |
| PSS004913 | — | — | 24,795 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004914 | — | — | 7,639 individuals | — | South Asian | — | UKB | — |
| PSS004915 | — | — | 67,235 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004916 | — | — | 6,410 individuals | — | African unspecified | — | UKB | — |
| PSS004917 | — | — | 1,696 individuals | — | East Asian | — | UKB | — |
| PSS004918 | — | — | 24,804 individuals | — | European | non-white British ancestry | UKB | — |
| PSS004919 | — | — | 7,746 individuals | — | South Asian | — | UKB | — |
| PSS004920 | — | — | 67,258 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004912 | — | — | 1,696 individuals | — | East Asian | — | UKB | — |
| PSS008931 | — | — | 1,421 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008936 | — | — | 791 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008953 | — | — | 3,799 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008961 | — | — | 3,849 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011351 | — | — | 11,747 individuals, 49.1 % Male samples |
Mean = 43.0 years | Hispanic or Latin American | — | HCHS, SOL | — |
| PSS005001 | — | — | 192 individuals | — | African unspecified | — | UKB | — |
| PSS005002 | — | — | 110 individuals | — | East Asian | — | UKB | — |
| PSS005003 | — | — | 1,708 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005004 | — | — | 319 individuals | — | South Asian | — | UKB | — |
| PSS005005 | — | — | 5,526 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008977 | — | — | 3,859 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008991 | — | — | 3,799 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS008998 | — | — | 3,798 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS001425 | — | — | [
|
— | European | — | AGDS | — |
| PSS001426 | — | — | [
|
— | European | — | AGDS | — |
| PSS001427 | — | — | [
|
— | European | — | AGDS | — |
| PSS001428 | — | — | [
|
— | European | — | AGDS | — |
| PSS001429 | — | — | [
|
— | European | — | AGDS | — |
| PSS001430 | — | — | [
|
— | European | — | AGDS | — |
| PSS001431 | — | — | [
|
— | European | — | AGDS | — |
| PSS001432 | — | — | [
|
— | European | — | AGDS | — |
| PSS001433 | — | — | [
|
— | European | — | AGDS | — |
| PSS001434 | — | — | [
|
— | European | — | AGDS | — |
| PSS009038 | — | — | 3,857 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS005036 | — | — | 6,300 individuals | — | African unspecified | — | UKB | — |
| PSS005037 | — | — | 1,677 individuals | — | East Asian | — | UKB | — |
| PSS005038 | — | — | 24,454 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005039 | — | — | 7,645 individuals | — | South Asian | — | UKB | — |
| PSS005040 | — | — | 66,227 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009020 | — | — | 3,801 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS005046 | — | — | 6,304 individuals | — | African unspecified | — | UKB | — |
| PSS005047 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005048 | — | — | 24,463 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005049 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005050 | — | — | 66,262 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005051 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005052 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005053 | — | — | 24,466 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005054 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005055 | — | — | 66,264 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005061 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005062 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005063 | — | — | 24,471 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005064 | — | — | 7,651 individuals | — | South Asian | — | UKB | — |
| PSS005065 | — | — | 66,304 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005066 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005067 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005068 | — | — | 24,475 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005069 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005070 | — | — | 66,310 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001456 | — | — | 5,179 individuals | — | European (Danish) |
— | Inter99 | Independent subset of Inter99, doesn't overlap with score development samples |
| PSS005071 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005072 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005073 | — | — | 24,474 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005074 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005075 | — | — | 66,310 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005076 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005077 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005078 | — | — | 24,473 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005079 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005080 | — | — | 66,307 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005081 | — | — | 6,310 individuals | — | African unspecified | — | UKB | — |
| PSS005082 | — | — | 1,681 individuals | — | East Asian | — | UKB | — |
| PSS005083 | — | — | 24,474 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005084 | — | — | 7,653 individuals | — | South Asian | — | UKB | — |
| PSS005086 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005087 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005088 | — | — | 24,463 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005089 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005090 | — | — | 66,260 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005085 | — | — | 66,310 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009069 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS005096 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005097 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005098 | — | — | 24,461 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005099 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005100 | — | — | 66,257 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005101 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |
| PSS005102 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005103 | — | — | 24,461 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005104 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005105 | — | — | 66,257 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005106 | — | — | 6,304 individuals | — | African unspecified | — | UKB | — |
| PSS005107 | — | — | 1,679 individuals | — | East Asian | — | UKB | — |
| PSS005108 | — | — | 24,461 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005109 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005110 | — | — | 66,256 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005111 | — | — | 6,303 individuals | — | African unspecified | — | UKB | — |
| PSS005112 | — | — | 1,679 individuals | — | East Asian | — | UKB | — |
| PSS005113 | — | — | 24,461 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005114 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005115 | — | — | 66,253 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005116 | — | — | 6,303 individuals | — | African unspecified | — | UKB | — |
| PSS005117 | — | — | 1,679 individuals | — | East Asian | — | UKB | — |
| PSS005118 | — | — | 24,460 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005119 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005120 | — | — | 66,253 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005121 | — | — | 6,302 individuals | — | African unspecified | — | UKB | — |
| PSS005122 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005123 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005124 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005125 | — | — | 66,253 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005136 | — | — | 6,302 individuals | — | African unspecified | — | UKB | — |
| PSS005137 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005138 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005139 | — | — | 7,648 individuals | — | South Asian | — | UKB | — |
| PSS005140 | — | — | 66,247 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005141 | — | — | 6,301 individuals | — | African unspecified | — | UKB | — |
| PSS005142 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005143 | — | — | 24,458 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005144 | — | — | 7,648 individuals | — | South Asian | — | UKB | — |
| PSS005145 | — | — | 66,244 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005151 | — | — | 6,299 individuals | — | African unspecified | — | UKB | — |
| PSS005152 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005153 | — | — | 24,457 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005154 | — | — | 7,647 individuals | — | South Asian | — | UKB | — |
| PSS005155 | — | — | 66,234 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005156 | — | — | 6,299 individuals | — | African unspecified | — | UKB | — |
| PSS005157 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005158 | — | — | 24,454 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005159 | — | — | 7,647 individuals | — | South Asian | — | UKB | — |
| PSS005160 | — | — | 66,231 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005161 | — | — | 6,299 individuals | — | African unspecified | — | UKB | — |
| PSS005162 | — | — | 1,678 individuals | — | East Asian | — | UKB | — |
| PSS005163 | — | — | 24,452 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005164 | — | — | 7,646 individuals | — | South Asian | — | UKB | — |
| PSS005165 | — | — | 66,224 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005171 | — | — | 6,298 individuals | — | African unspecified | — | UKB | — |
| PSS005172 | — | — | 1,677 individuals | — | East Asian | — | UKB | — |
| PSS005173 | — | — | 24,445 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007222 | — | — | 795 individuals | — | East Asian | — | UKB | — |
| PSS007223 | — | — | 12,376 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007224 | — | — | 2,312 individuals | — | South Asian | — | UKB | — |
| PSS007225 | — | — | 38,834 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005178 | — | — | 24,444 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005179 | — | — | 7,642 individuals | — | South Asian | — | UKB | — |