| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0009605 |
| Description | A non-neoplastic or neoplastic disorder that affects the pancreas. Representative examples of non-neoplastic disorders include pancreatitis and pancreatic insufficiency. Representative examples of neoplastic disorders include cystadenomas, carcinomas, lymphomas, and neuroendocrine neoplasms. [NCIT: C26842] | Trait category |
Digestive system disorder
|
| Synonyms |
11 synonyms
|
| Mapped terms |
12 mapped terms
|
| Child trait(s) | 7 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) |
|---|---|---|---|---|---|---|
| PGS000014 (GPS_T2D) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,917,436 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz | |
| PGS000020 (dGRS1000) |
PGP000010 | Läll K et al. Genet Med (2016) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 7,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz |
| PGS000021 (GRS1) |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz | |
| PGS000022 (T1D_GRS) |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 37 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz |
| PGS000023 (AA_GRS) |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz |
| PGS000024 (GRS2) |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 85 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz |
| PGS000031 (GRSt) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 62 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz |
| PGS000032 (GRSB) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in β-cell function) | type 2 diabetes mellitus | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz |
| PGS000033 (GRSIR) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in insulin resistance) | type 2 diabetes mellitus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz |
| PGS000036 (gePS_T2D) |
PGP000023 | Mahajan A et al. Nat Genet (2018) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 171,249 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz | |
| PGS000083 (CC_Pancreas) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000083/ScoringFiles/PGS000083.txt.gz |
| PGS000125 (Qi_T2D_2017) |
PGP000062 | Qi Q et al. Diabetes (2017) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 80 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz |
| PGS000159 (cGRS_Pancreatic) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Pancreatic cancer | pancreatic carcinoma | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000159/ScoringFiles/PGS000159.txt.gz |
| PGS000330 (PRS_T2D) |
PGP000100 | Mars N et al. Nat Med (2020) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,437,380 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz | |
| PGS000385 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Pancreatic cancer | pancreatic carcinoma | 17 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000385/ScoringFiles/PGS000385.txt.gz | |
| PGS000386 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Pancreatic cancer | pancreatic carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000386/ScoringFiles/PGS000386.txt.gz | |
| PGS000663 (wGRS22) |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000663/ScoringFiles/PGS000663.txt.gz |
| PGS000712 (T2D_HbA1c_39) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
T2D (cases vs HbA1c filtered controls) | type 2 diabetes mellitus | 183,695 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz |
| PGS000713 (T2D) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 183,830 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz |
| PGS000725 (PRS_Pancreas) |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000725/ScoringFiles/PGS000725.txt.gz |
| PGS000729 (T2D_PGS) |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 2,017,388 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz |
| PGS000794 (CC_Pancreas_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000794/ScoringFiles/PGS000794.txt.gz |
| PGS000804 (GRS582_T2Dmulti) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz |
| PGS000805 (GRS582_T2Deur) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz |
| PGS000806 (GRS582_T2Dafr) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz |
| PGS000807 (GRS582_T2Dasn) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz |
| PGS000808 (GRS582_T2Dhis) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz |
| PGS000832 (T2D-GRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 384 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz |
| PGS000833 (T1D) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz |
| PGS000848 (T2D_Adiposity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with adiposity) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz |
| PGS000849 (T2D_Impaired_Lipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with impaired lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz |
| PGS000850 (T2D_Insulin_Action) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action) | type 2 diabetes mellitus | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz |
| PGS000851 (T2D_Insulin_Action_Secretion) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action/secretion) | type 2 diabetes mellitus | 37 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz |
| PGS000852 (T2D_Insulin_Secretion_1) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz |
| PGS000853 (T2D_Insulin_Secretion_2) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz |
| PGS000854 (T2D_BetaCell) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with beta cell function) | type 2 diabetes mellitus | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz |
| PGS000855 (T2D_Lipodystrophy) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with lipodystrophy) | type 2 diabetes mellitus | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz |
| PGS000856 (T2D_LiverLipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with liver lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz |
| PGS000857 (T2D_Obesity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with obesity) | type 2 diabetes mellitus | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz |
| PGS000858 (T2D_Proinsulin) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with proinsulin levels) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz |
| PGS000864 (T2D-gPRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 389,243 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz |
| PGS000868 (T2D_221) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 221 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz |
| PGS000869 (T1D_48) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz |
| PGS001014 (GBE_HC654) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other disorders of pancreatic internal secretion (time-to-event) | pancreas disease | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001014/ScoringFiles/PGS001014.txt.gz |
| PGS001294 (GBE_HC649) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Non-insulin-dependent diabetes (time-to-event) | type 2 diabetes mellitus | 3,496 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz |
| PGS001295 (GBE_HC165) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz |
| PGS001296 (GBE_HC648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Insulin-dependent diabetes mellitus (time-to-event) | type 1 diabetes mellitus | 356 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz |
| PGS001297 (GBE_HC337) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz |
| PGS001327 (GBE_HC221) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diabetes | diabetes mellitus | 4,053 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001327/ScoringFiles/PGS001327.txt.gz |
| PGS001329 (GBE_HC652) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Unspecified diabetes mellitus (time-to-event) | diabetes mellitus | 2,270 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001329/ScoringFiles/PGS001329.txt.gz |
| PGS001357 (T2D_AnnoPred_PRS) |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 2,996,761 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz | |
| PGS001371 (GBE_INI2976) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Age diabetes diagnosed | diabetes mellitus, age at diagnosis |
26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001371/ScoringFiles/PGS001371.txt.gz |
| PGS001781 (T2D_PRSCS) |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,091,673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz |
| PGS001817 (portability-PLR_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz |
| PGS001818 (portability-PLR_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 30,745 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz |
| PGS002025 (portability-ldpred2_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 106,800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz |
| PGS002026 (portability-ldpred2_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 830,783 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz |
| PGS002243 (ldpred_t2d) |
PGP000271 | Mars N et al. Cell Genom (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,431,973 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz | |
| PGS002256 (GRS4_GDM) |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Gestational diabetes mellitus in early pregnancy | gestational diabetes | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz | |
| PGS002264 (PRS_Combined) |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Pancreatic ductal adenocarcinoma | pancreatic ductal adenocarcinoma | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002264/ScoringFiles/PGS002264.txt.gz |
| PGS002277 (pPS_Insulin_secretion_1) |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002277/ScoringFiles/PGS002277.txt.gz |
| PGS002308 (PRScsx_T2D) |
PGP000331 | Ge T et al. Genome Med (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,259,754 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz |
| PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002321/ScoringFiles/PGS002321.txt.gz |
| PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz |
| PGS002354 (disease_T2D.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz |
| PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 920,930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz |
| PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 3,813 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002393/ScoringFiles/PGS002393.txt.gz |
| PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
3,681 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz |
| PGS002426 (disease_T2D.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 3,947 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz |
| PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 15,915 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002442/ScoringFiles/PGS002442.txt.gz |
| PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
15,629 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz |
| PGS002475 (disease_T2D.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 16,275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz |
| PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 95,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002491/ScoringFiles/PGS002491.txt.gz |
| PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
93,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz |
| PGS002524 (disease_T2D.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 95,287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz |
| PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 598 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002540/ScoringFiles/PGS002540.txt.gz |
| PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz |
| PGS002573 (disease_T2D.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz |
| PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 267 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002589/ScoringFiles/PGS002589.txt.gz |
| PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz |
| PGS002622 (disease_T2D.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz |
| PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 247,386 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002638/ScoringFiles/PGS002638.txt.gz |
| PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
256,678 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz |
| PGS002671 (disease_T2D.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 258,382 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz |
| PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 923,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002687/ScoringFiles/PGS002687.txt.gz |
| PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
905,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz |
| PGS002720 (disease_T2D.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 911,809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz |
| PGS002733 (GRS17_T2D) |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz |
| PGS002740 (PRS22_PC) |
PGP000347 | Yuan C et al. Ann Oncol (2022) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002740/ScoringFiles/PGS002740.txt.gz |
| PGS002771 (Type_2_diabetes_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,091,608 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002771/ScoringFiles/PGS002771.txt.gz |
| PGS002779 (GTG_T2D_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident type 2 diabetes | type 2 diabetes mellitus | 46,353 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002779/ScoringFiles/PGS002779.txt.gz | |
| PGS002780 (GTG_T2D_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident type 2 diabetes | type 2 diabetes mellitus | 419,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002780/ScoringFiles/PGS002780.txt.gz | |
| PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 488,969 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003089/ScoringFiles/PGS003089.txt.gz | |
| PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,888 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003090/ScoringFiles/PGS003090.txt.gz | |
| PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 2,707 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003091/ScoringFiles/PGS003091.txt.gz | |
| PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 10,304,000 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003092/ScoringFiles/PGS003092.txt.gz | |
| PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003093/ScoringFiles/PGS003093.txt.gz | |
| PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 266,890 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003094/ScoringFiles/PGS003094.txt.gz | |
| PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 45 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003095/ScoringFiles/PGS003095.txt.gz | |
| PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 46 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003096/ScoringFiles/PGS003096.txt.gz | |
| PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 229 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003097/ScoringFiles/PGS003097.txt.gz | |
| PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,116,101 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003098/ScoringFiles/PGS003098.txt.gz | |
| PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 555,512 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003099/ScoringFiles/PGS003099.txt.gz | |
| PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003100/ScoringFiles/PGS003100.txt.gz | |
| PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003101/ScoringFiles/PGS003101.txt.gz | |
| PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,052,574 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003102/ScoringFiles/PGS003102.txt.gz | |
| PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 945,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003103/ScoringFiles/PGS003103.txt.gz | |
| PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 374,510 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003104/ScoringFiles/PGS003104.txt.gz | |
| PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003105/ScoringFiles/PGS003105.txt.gz | |
| PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003106/ScoringFiles/PGS003106.txt.gz | |
| PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 995 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003107/ScoringFiles/PGS003107.txt.gz | |
| PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,118,480 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003108/ScoringFiles/PGS003108.txt.gz | |
| PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 311,565 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003109/ScoringFiles/PGS003109.txt.gz | |
| PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 118 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003110/ScoringFiles/PGS003110.txt.gz | |
| PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 143 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003111/ScoringFiles/PGS003111.txt.gz | |
| PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 222 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003112/ScoringFiles/PGS003112.txt.gz | |
| PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,117,087 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003113/ScoringFiles/PGS003113.txt.gz | |
| PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 555,528 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003114/ScoringFiles/PGS003114.txt.gz | |
| PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 31,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003115/ScoringFiles/PGS003115.txt.gz | |
| PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 31,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003116/ScoringFiles/PGS003116.txt.gz | |
| PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,052,993 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003117/ScoringFiles/PGS003117.txt.gz | |
| PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 945,921 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003118/ScoringFiles/PGS003118.txt.gz | |
| PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 407,553 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003119/ScoringFiles/PGS003119.txt.gz | |
| PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 193 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003120/ScoringFiles/PGS003120.txt.gz | |
| PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 193 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003121/ScoringFiles/PGS003121.txt.gz | |
| PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 264 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003122/ScoringFiles/PGS003122.txt.gz | |
| PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,119,522 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003123/ScoringFiles/PGS003123.txt.gz | |
| PGS003353 (GRS_T2D) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003353/ScoringFiles/PGS003353.txt.gz |
| PGS003402 (PRS_T2D) |
PGP000419 | Lamri A et al. Elife (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,838 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003402/ScoringFiles/PGS003402.txt.gz | |
| PGS003443 (PRScsx_T2D_LAT_EURweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,092,496 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003443/ScoringFiles/PGS003443.txt.gz | |
| PGS003444 (PRScsx_T2D_LAT_EASweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,001,579 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003444/ScoringFiles/PGS003444.txt.gz | |
| PGS003445 (PRScsx_T2D_LAT_LATweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,149,210 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003445/ScoringFiles/PGS003445.txt.gz | |
| PGS003728 (PS_T2D_183-AGEN) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 183 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003728/ScoringFiles/PGS003728.txt.gz |
| PGS003729 (PS_T2D_293-DIAGRAM) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003729/ScoringFiles/PGS003729.txt.gz |
| PGS003730 (PS_T2D_287-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003730/ScoringFiles/PGS003730.txt.gz |
| PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 282 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003731/ScoringFiles/PGS003731.txt.gz |
| PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003732/ScoringFiles/PGS003732.txt.gz |
| PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003733/ScoringFiles/PGS003733.txt.gz |
| PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003734/ScoringFiles/PGS003734.txt.gz |
| PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 276 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003735/ScoringFiles/PGS003735.txt.gz |
| PGS003742 (PRS19_PC) |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Pancreatic cancer | pancreatic neoplasm | 19 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003742/ScoringFiles/PGS003742.txt.gz | |
| PGS003749 (ModelT1D_under25) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,612 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz | |
| PGS003750 (ModelT1D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7,835 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.txt.gz | |
| PGS003751 (ModelT2D_over45) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003751/ScoringFiles/PGS003751.txt.gz | |
| PGS003752 (ModelT2D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 333 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003752/ScoringFiles/PGS003752.txt.gz | |
| PGS003867 (T2D_PRScs_ARB) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,068,166 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003867/ScoringFiles/PGS003867.txt.gz |
| PGS003982 (dbslmm.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,071,764 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003982/ScoringFiles/PGS003982.txt.gz | |
| PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 63,182 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.txt.gz | |
| PGS003998 (lassosum.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,548 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003998/ScoringFiles/PGS003998.txt.gz | |
| PGS004009 (lassosum.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 4,031 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.txt.gz | |
| PGS004014 (lassosum.CV.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 95,649 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004014/ScoringFiles/PGS004014.txt.gz | |
| PGS004020 (lassosum.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.txt.gz | |
| PGS004024 (ldpred2.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 958,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004024/ScoringFiles/PGS004024.txt.gz | |
| PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,562 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.txt.gz | |
| PGS004039 (ldpred2.CV.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 958,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004039/ScoringFiles/PGS004039.txt.gz | |
| PGS004052 (megaprs.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 800,598 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004052/ScoringFiles/PGS004052.txt.gz | |
| PGS004063 (megaprs.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.txt.gz | |
| PGS004068 (megaprs.CV.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 800,598 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004068/ScoringFiles/PGS004068.txt.gz | |
| PGS004078 (megaprs.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.txt.gz | |
| PGS004082 (prscs.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,043,329 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004082/ScoringFiles/PGS004082.txt.gz | |
| PGS004093 (prscs.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.txt.gz | |
| PGS004102 (prscs.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.txt.gz | |
| PGS004106 (pt_clump.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 35 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004106/ScoringFiles/PGS004106.txt.gz | |
| PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 131 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.txt.gz | |
| PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 297 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004122/ScoringFiles/PGS004122.txt.gz | |
| PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.txt.gz | |
| PGS004136 (sbayesr.auto.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 930,497 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004136/ScoringFiles/PGS004136.txt.gz | |
| PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 45,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.txt.gz | |
| PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,071,786 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004152/ScoringFiles/PGS004152.txt.gz | |
| PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 62,645 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.txt.gz | |
| PGS004171 (t1d_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004171/ScoringFiles/PGS004171.txt.gz |
| PGS004172 (t1d_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004172/ScoringFiles/PGS004172.txt.gz |
| PGS004173 (t1d_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004173/ScoringFiles/PGS004173.txt.gz |
| PGS004174 (t1d_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004174/ScoringFiles/PGS004174.txt.gz |
| PGS004175 (t1d_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 315 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004175/ScoringFiles/PGS004175.txt.gz |
| PGS004181 (t2d_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 10,202 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004181/ScoringFiles/PGS004181.txt.gz |
| PGS004182 (t2d_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 10,778 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004182/ScoringFiles/PGS004182.txt.gz |
| PGS004183 (t2d_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 8,154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004183/ScoringFiles/PGS004183.txt.gz |
| PGS004184 (t2d_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 9,645 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004184/ScoringFiles/PGS004184.txt.gz |
| PGS004185 (t2d_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 3,277 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004185/ScoringFiles/PGS004185.txt.gz |
| PGS004223 (PRS139_T2D) |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 139 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004223/ScoringFiles/PGS004223.txt.gz |
| PGS004225 (PRS46_T2DEastAsia) |
PGP000526 | Liu J et al. Nutrients (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 46 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004225/ScoringFiles/PGS004225.txt.gz |
| PGS004226 (PRS50_T2DEur) |
PGP000526 | Liu J et al. Nutrients (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004226/ScoringFiles/PGS004226.txt.gz |
| PGS004250 (PRS19_pancreas) |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Pancreatic cancer | pancreatic carcinoma | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004250/ScoringFiles/PGS004250.txt.gz |
| PGS004310 (GenoBoost_type_2_diabetes_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 7,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004310/ScoringFiles/PGS004310.txt.gz |
| PGS004311 (GenoBoost_type_2_diabetes_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 4,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004311/ScoringFiles/PGS004311.txt.gz |
| PGS004312 (GenoBoost_type_2_diabetes_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 7,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004312/ScoringFiles/PGS004312.txt.gz |
| PGS004313 (GenoBoost_type_2_diabetes_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 8,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004313/ScoringFiles/PGS004313.txt.gz |
| PGS004314 (GenoBoost_type_2_diabetes_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004314/ScoringFiles/PGS004314.txt.gz |
| PGS004323 (PRS91_T2D) |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 91 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004323/ScoringFiles/PGS004323.txt.gz |
| PGS004499 (disease.T2D.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004499/ScoringFiles/PGS004499.txt.gz |
| PGS004569 (meta.T2D.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004569/ScoringFiles/PGS004569.txt.gz |
| PGS004602 (PRS424_T2D) |
PGP000580 | Zhuang P et al. Diabetes Care (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 424 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004602/ScoringFiles/PGS004602.txt.gz |
| PGS004615 (PGS_weights_TMM_All_of_1group) |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 855,161 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004615/ScoringFiles/PGS004615.txt.gz |
| PGS004616 (PGS_weights_TMM_HighBMI_of_2groups) |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 855,161 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004616/ScoringFiles/PGS004616.txt.gz |
| PGS004617 (PGS_weights_TMM_LowBMI_of_2groups) |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 855,161 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004617/ScoringFiles/PGS004617.txt.gz |
| PGS004618 (PGS_weights_BBJ2nd_All_of_1group) |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 728,824 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004618/ScoringFiles/PGS004618.txt.gz |
| PGS004619 (PGS_weights_BBJ2nd_HighBMI_of_2groups) |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 728,824 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004619/ScoringFiles/PGS004619.txt.gz |
| PGS004620 (PGS_weights_BBJ2nd_LowBMI_of_2groups) |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 728,824 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004620/ScoringFiles/PGS004620.txt.gz |
| PGS004693 (pancreatic_cancer) |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Pancreatic cancer | pancreatic carcinoma | 6,351,686 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004693/ScoringFiles/PGS004693.txt.gz | |
| PGS004837 (t2d_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 3,306,136 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004837/ScoringFiles/PGS004837.txt.gz |
| PGS004838 (t2d_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,586,458 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004838/ScoringFiles/PGS004838.txt.gz |
| PGS004839 (t2d_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 4,594,694 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004839/ScoringFiles/PGS004839.txt.gz |
| PGS004840 (t2d_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,586,458 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004840/ScoringFiles/PGS004840.txt.gz |
| PGS004859 (T2D_PRS_CS) |
PGP000605 | Deutsch AJ et al. Diabetes Care (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,108,235 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004859/ScoringFiles/PGS004859.txt.gz |
| PGS004868 (T2DPGS) |
PGP000617 | Yun JS et al. Cardiovasc Diabetol (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,580,804 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004868/ScoringFiles/PGS004868.txt.gz |
| PGS004870 (INTERVENE_MegaPRS_T2D) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 930,506 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004870/ScoringFiles/PGS004870.txt.gz | |
| PGS004874 (INTERVENE_MegaPRS_T1D) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,916 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004874/ScoringFiles/PGS004874.txt.gz | |
| PGS004887 (T2D_gePGS) |
PGP000619 | Mandla R et al. Genome Med (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,117,628 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004887/ScoringFiles/PGS004887.txt.gz | |
| PGS004923 (T2D_metaGRS) |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,349,896 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004923/ScoringFiles/PGS004923.txt.gz | |
| PGS005021 (Phe_250_2_ldpred_AFRss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005021/ScoringFiles/PGS005021.txt.gz |
| PGS005022 (Phe_250_2_ldpred_EURss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005022/ScoringFiles/PGS005022.txt.gz |
| PGS005023 (Phe_250_2_ldpred_HISss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005023/ScoringFiles/PGS005023.txt.gz |
| PGS005024 (Phe_250_2_ldpred_METAss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005024/ScoringFiles/PGS005024.txt.gz |
| PGS005025 (Phe_250_2_ldpred_METAss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005025/ScoringFiles/PGS005025.txt.gz |
| PGS005026 (Phe_250_2_ldpred_METAss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,286,612 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005026/ScoringFiles/PGS005026.txt.gz |
| PGS005027 (Phe_250_2_prscs_AFRss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005027/ScoringFiles/PGS005027.txt.gz |
| PGS005028 (Phe_250_2_prscs_EURss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005028/ScoringFiles/PGS005028.txt.gz |
| PGS005029 (Phe_250_2_prscs_HISss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005029/ScoringFiles/PGS005029.txt.gz |
| PGS005030 (Phe_250_2_prscs_METAss_afrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005030/ScoringFiles/PGS005030.txt.gz |
| PGS005031 (Phe_250_2_prscs_METAss_amrld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005031/ScoringFiles/PGS005031.txt.gz |
| PGS005032 (Phe_250_2_prscs_METAss_eurld) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,273,897 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005032/ScoringFiles/PGS005032.txt.gz |
| PGS005033 (Phe_250_2_prscsx_METAweight) |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Type 2 diabetes (T2D) (PheCode 250.2) | type 2 diabetes mellitus | 1,277,826 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005033/ScoringFiles/PGS005033.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000023 | PGS000014 (GPS_T2D) |
PSS000017| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 [0.72, 0.73] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM002477 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.709 [0.696, 0.722] | Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31] | Sex, age, principal components, assessment center | — |
| PPM002478 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.68 [0.663, 0.697] | — | Age, principal components and assessment center | — |
| PPM002479 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.705 [0.682, 0.728] | — | Age, principal components and assessment center | — |
| PPM002480 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.776 [0.764, 0.788] | — | Sex, age, principal components, assessment center, polyexposure score | — |
| PPM002481 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.844 [0.834, 0.854] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002482 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.855 [0.845, 0.865] | — | Sex, age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002483 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.786 [0.765, 0.807] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002485 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.859 [0.842, 0.876] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002486 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.749 [0.734, 0.764] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002487 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.821 [0.808, 0.834] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002488 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.834 [0.821, 0.847] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002484 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.869 [0.853, 0.885] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM015522 | PGS000014 (GPS_T2D) |
PSS009971| Multi-ancestry (including European)| 36,422 individuals |
PGP000381 | Hao L et al. Nat Med (2022) |Ext. |
Reported Trait: Type 2 diabetes mellitus | OR: 1.75 [1.57, 1.95] | — | — | 4 genetic PCs | — |
| PPM019100 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Incident type 2 diabetes | — | AUROC: 0.613 [0.565, 0.657] | — | — | — |
| PPM019098 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Incident type 2 diabetes | OR: 1.67 [1.37, 2.03] | — | — | Age, Sex, BMI, Physical activity, FamRS | — |
| PPM019099 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Prevelant type 2 diabetes | — | AUROC: 0.869 [0.842, 0.896] | — | — | — |
| PPM019097 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Prevelant type 2 diabetes | OR: 6.21 [5.06, 7.74] | — | — | Age, Sex, BMI, Physical activity, FamRS | — |
| PPM021428 | PGS000014 (GPS_T2D) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.51 [1.48, 1.55] | AUROC: 0.7 [0.695, 0.705] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021437 | PGS000014 (GPS_T2D) |
PSS011747| European Ancestry| 245,177 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.71 [1.67, 1.74] | AUROC: 0.731 [0.726, 0.736] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021458 | PGS000014 (GPS_T2D) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.58 [1.47, 1.7] | C-index: 0.737 [0.719, 0.754] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021465 | PGS000014 (GPS_T2D) |
PSS011746| European Ancestry| 232,808 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.45 [1.42, 1.49] | C-index: 0.686 [0.679, 0.692] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021484 | PGS000014 (GPS_T2D) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.21 [1.17, 1.24] | AUROC: 0.717 [0.71, 0.723] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021506 | PGS000014 (GPS_T2D) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.39 [1.34, 1.44] | AUROC: 0.757 [0.75, 0.764] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021531 | PGS000014 (GPS_T2D) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.99 [0.85, 1.16] | AUROC: 0.585 [0.541, 0.629] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021553 | PGS000014 (GPS_T2D) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.03 [0.87, 1.21] | AUROC: 0.639 [0.596, 0.683] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021571 | PGS000014 (GPS_T2D) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.82 [0.69, 0.97] | AUROC: 0.662 [0.618, 0.706] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021589 | PGS000014 (GPS_T2D) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.27 [1.18, 1.38] | AUROC: 0.714 [0.695, 0.733] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021615 | PGS000014 (GPS_T2D) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.28 [1.01, 1.61] | AUROC: 0.705 [0.648, 0.763] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021635 | PGS000014 (GPS_T2D) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.48 [1.39, 1.58] | AUROC: 0.711 [0.696, 0.726] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021653 | PGS000014 (GPS_T2D) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.12 [1.01, 1.23] | C-index: 0.641 [0.614, 0.669] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021677 | PGS000014 (GPS_T2D) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.24 [0.9, 1.7] | C-index: 0.684 [0.609, 0.758] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021699 | PGS000014 (GPS_T2D) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.14 [1.05, 1.24] | C-index: 0.605 [0.582, 0.628] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM000040 | PGS000020 (dGRS1000) |
PSS000025| European Ancestry| 6,280 individuals |
PGP000010 | Läll K et al. Genet Med (2016) |
Reported Trait: Incident type 2 diabetes | HR: 1.48 [1.32, 1.66] | C-index: 0.79 [0.771, 0.812] | — | BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex. | Cox age-as-time-scale |
| PPM000132 | PGS000021 (GRS1) |
PSS000083| European Ancestry| 2,768 individuals |
PGP000038 | Patel KA et al. Diabetes (2016) |Ext. |
Reported Trait: Type 1 diabetes aetiology (non-monogenic) | — | AUROC: 0.87 [0.86, 0.89] | — | — | Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation |
| PPM000041 | PGS000021 (GRS1) |
PSS000026| European Ancestry| 223 individuals |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Reported Trait: Severe insulin deficiency | — | AUROC: 0.96 [0.94, 0.99] | AUROC (without covariates): 0.87 | islet auto-antibody status, body mass index (BMI), age at diagnosis | — |
| PPM000046 | PGS000021 (GRS1) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.798 | — | — | — |
| PPM000049 | PGS000021 (GRS1) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.893 | — | — | — |
| PPM000042 | PGS000022 (T1D_GRS) |
PSS000029| European Ancestry| 1,447 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.8508 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000043 | PGS000022 (T1D_GRS) |
PSS000028| Hispanic or Latin American Ancestry| 252 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.9003 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000044 | PGS000022 (T1D_GRS) |
PSS000027| African Ancestry| 299 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7522 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000045 | PGS000023 (AA_GRS) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.87 | — | — | NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations) |
| PPM000047 | PGS000023 (AA_GRS) |
PSS000031| African Ancestry| 145 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.779 | — | — | — |
| PPM018536 | PGS000023 (AA_GRS) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.781 | — | — | — |
| PPM018537 | PGS000023 (AA_GRS) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.817 | — | — | — |
| PPM018539 | PGS000023 (AA_GRS) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018541 | PGS000023 (AA_GRS) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 86.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018543 | PGS000023 (AA_GRS) |
PSS011013| Multi-ancestry (excluding European)| 4,881 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 83.0 % PPV (reference): 53.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM021725 | PGS000023 (AA_GRS) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Type 1 diabetes mellitus | OR: 2.31 [2.0, 2.68] | AUROC: 0.77 | — | — | — |
| PPM000048 | PGS000024 (GRS2) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.921 | Youden index: 0.698 | — | — |
| PPM000753 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) | — | AUROC: 0.93 | — | autoantibodies, family history | — |
| PPM000754 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) | — | AUROC: 0.87 | — | autoantibodies, family history | — |
| PPM000755 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000751 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000752 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) | — | AUROC: 0.94 | — | autoantibodies, family history | — |
| PPM000750 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) | — | AUROC: 0.73 [0.7, 0.77] | — | — | — |
| PPM002249 | PGS000024 (GRS2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002250 | PGS000024 (GRS2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002251 | PGS000024 (GRS2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.01 [0.95, 1.08] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002252 | PGS000024 (GRS2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.99 [0.94, 1.04] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002248 | PGS000024 (GRS2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Autoimmune Diabetes | OR: 2.55 [2.28, 2.86] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM014801 | PGS000024 (GRS2) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.864 [0.823, 0.905] | — | — | — |
| PPM014803 | PGS000024 (GRS2) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.851 [0.805, 0.897] | — | — | — |
| PPM014805 | PGS000024 (GRS2) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.935 [0.906, 0.964] | — | — | — |
| PPM014807 | PGS000024 (GRS2) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.79 [0.679, 0.902] | — | — | — |
| PPM018532 | PGS000024 (GRS2) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.875 | — | — | — |
| PPM018533 | PGS000024 (GRS2) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.822 | — | — | — |
| PPM018534 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.888 | — | — | — |
| PPM018535 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.858 | — | — | — |
| PPM018538 | PGS000024 (GRS2) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 100.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018540 | PGS000024 (GRS2) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 93.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018542 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM020098 | PGS000024 (GRS2) |
PSS011295| Ancestry Not Reported| 1,798 individuals |
PGP000519 | Thomas NJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes vs autoantibody negative T2D | — | — | p-value (inferior to): 0.0001 | — | — |
| PPM021124 | PGS000024 (GRS2) |
PSS011531| European Ancestry| 9,465 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.22 | AUROC: 0.87 | — | — | — |
| PPM021125 | PGS000024 (GRS2) |
PSS011532| European Ancestry| 9,450 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.234 | AUROC: 0.862 | — | — | — |
| PPM000062 | PGS000031 (GRSt) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.04, 1.08] | C-index: 0.906 [0.892, 0.92] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000063 | PGS000031 (GRSt) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.02, 1.1] | C-index: 0.853 [0.81, 0.896] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000064 | PGS000031 (GRSt) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.05 [1.0, 1.09] | C-index: 0.771 [0.727, 0.814] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000065 | PGS000032 (GRSB) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.1 [1.06, 1.14] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000066 | PGS000032 (GRSB) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.09 [1.02, 1.17] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000067 | PGS000032 (GRSB) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM002415 | PGS000032 (GRSB) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |Ext. |
Reported Trait: Cystic-fibrosis related diabetes onset | HR: 1.192 | — | — | PCs(1-4), site of recruitment | — |
| PPM000068 | PGS000033 (GRSIR) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 0.98 [0.93, 1.04] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000069 | PGS000033 (GRSIR) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.01 [0.91, 1.12] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000070 | PGS000033 (GRSIR) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000080 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.66 | — | genotyping array, first 6 PCs of ancestry | — |
| PPM000081 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 | — | age, sex, genotyping array, first 6 PCs of ancestry | — |
| PPM014802 | PGS000036 (gePS_T2D) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.661 [0.606, 0.716] | — | — | — |
| PPM014804 | PGS000036 (gePS_T2D) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.574 [0.506, 0.643] | — | — | — |
| PPM014806 | PGS000036 (gePS_T2D) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.722 [0.667, 0.778] | — | — | — |
| PPM014808 | PGS000036 (gePS_T2D) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.677 [0.532, 0.822] | — | — | — |
| PPM021427 | PGS000036 (gePS_T2D) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.53 [1.5, 1.56] | AUROC: 0.701 [0.696, 0.706] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021436 | PGS000036 (gePS_T2D) |
PSS011747| European Ancestry| 245,177 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.73 [1.69, 1.76] | AUROC: 0.733 [0.728, 0.737] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021454 | PGS000036 (gePS_T2D) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.63 [1.52, 1.75] | C-index: 0.742 [0.725, 0.759] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021464 | PGS000036 (gePS_T2D) |
PSS011746| European Ancestry| 232,808 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.46 [1.42, 1.5] | C-index: 0.687 [0.68, 0.693] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021482 | PGS000036 (gePS_T2D) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.21 [1.18, 1.25] | AUROC: 0.717 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021505 | PGS000036 (gePS_T2D) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.41 [1.36, 1.46] | AUROC: 0.759 [0.752, 0.766] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021521 | PGS000036 (gePS_T2D) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.25 [1.07, 1.46] | AUROC: 0.608 [0.566, 0.651] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021547 | PGS000036 (gePS_T2D) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.23 [1.04, 1.45] | AUROC: 0.651 [0.609, 0.693] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021572 | PGS000036 (gePS_T2D) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.2 [1.01, 1.42] | AUROC: 0.657 [0.612, 0.701] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021591 | PGS000036 (gePS_T2D) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.25 [1.16, 1.35] | AUROC: 0.71 [0.691, 0.729] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021612 | PGS000036 (gePS_T2D) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.39 [1.1, 1.77] | AUROC: 0.722 [0.668, 0.776] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021637 | PGS000036 (gePS_T2D) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.44 [1.35, 1.54] | AUROC: 0.707 [0.692, 0.722] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021656 | PGS000036 (gePS_T2D) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.11 [1.0, 1.22] | C-index: 0.641 [0.614, 0.668] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021678 | PGS000036 (gePS_T2D) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.23 [0.89, 1.7] | C-index: 0.68 [0.603, 0.756] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021698 | PGS000036 (gePS_T2D) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.15 [1.05, 1.25] | C-index: 0.606 [0.583, 0.629] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM000203 | PGS000083 (CC_Pancreas) |
PSS000122| European Ancestry| 411,019 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Pancreatic cancer | OR: 1.44 [1.33, 1.55] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002049 | PGS000083 (CC_Pancreas) |
PSS001022| European Ancestry| 391,491 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident pancreatic cancer | HR: 1.49 [1.36, 1.62] | AUROC: 0.745 C-index: 0.742 (0.012) |
— | Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM017171 | PGS000083 (CC_Pancreas) |
PSS010154| European Ancestry| 451 individuals |
PGP000443 | Byrne S et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Pancreatic cancer | HR: 1.51 [1.38, 1.66] | — | — | age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates | — |
| PPM000404 | PGS000125 (Qi_T2D_2017) |
PSS000232| Hispanic or Latin American Ancestry| 7,746 individuals |
PGP000062 | Qi Q et al. Diabetes (2017) |
Reported Trait: Type 2 Diabetes | — | — | OR (Odds Ratio, per risk allele): 1.07 [1.06, 1.08] | center, age, sex, 5 PCs of ancestry | Covariance matrices corresponding to genetic relatedness (kinship), household, and census block group were included as random effects in the mixed model analysis |
| PPM000490 | PGS000159 (cGRS_Pancreatic) |
PSS000279| European Ancestry| 13,590 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Pancreatic cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.67 [1.1, 2.53] | — | — |
| PPM000479 | PGS000159 (cGRS_Pancreatic) |
PSS000279| European Ancestry| 13,590 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Pancreatic cancer | — | — | Mean realative risk: 1.13 [1.07, 1.18] Wilcoxon test (case vs. control) p-value: 0.00015 |
— | — |
| PPM000897 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | — | C-index: 0.845 | — | age, sex, BMI, history of stroke or CHD, parental history of diabetes, SBP, DBP, HDL, triglycerides, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000892 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | HR: 1.7 [1.63, 1.78] | C-index: 0.763 | — | age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000887 | PGS000330 (PRS_T2D) |
PSS000448| European Ancestry| 135,300 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Type 2 diabetes (incident and prevalent cases) | HR: 1.74 [1.72, 1.77] | — | — | genotyping array/batch, 10 ancestry PCs, stratified by sex | — |
| PPM021416 | PGS000330 (PRS_T2D) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.79 [1.75, 1.83] | AUROC: 0.726 [0.721, 0.73] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021444 | PGS000330 (PRS_T2D) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.94 [1.8, 2.09] | C-index: 0.767 [0.75, 0.783] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021474 | PGS000330 (PRS_T2D) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.27 [1.23, 1.31] | AUROC: 0.72 [0.714, 0.727] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021495 | PGS000330 (PRS_T2D) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.58 [1.53, 1.64] | AUROC: 0.768 [0.761, 0.775] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021519 | PGS000330 (PRS_T2D) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.29 [1.11, 1.51] | AUROC: 0.619 [0.577, 0.661] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021544 | PGS000330 (PRS_T2D) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.32 [1.12, 1.57] | AUROC: 0.66 [0.619, 0.701] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021586 | PGS000330 (PRS_T2D) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.31 [1.21, 1.42] | AUROC: 0.716 [0.696, 0.735] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021611 | PGS000330 (PRS_T2D) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.43 [1.12, 1.83] | AUROC: 0.714 [0.658, 0.77] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021626 | PGS000330 (PRS_T2D) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.62 [1.51, 1.73] | AUROC: 0.724 [0.709, 0.738] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021663 | PGS000330 (PRS_T2D) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.58 [1.13, 2.22] | C-index: 0.695 [0.611, 0.779] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021687 | PGS000330 (PRS_T2D) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.28 [1.17, 1.4] | C-index: 0.622 [0.6, 0.645] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021563 | PGS000330 (PRS_T2D) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.45 [1.22, 1.72] | AUROC: 0.674 [0.632, 0.717] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021642 | PGS000330 (PRS_T2D) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.17 [1.06, 1.29] | C-index: 0.646 [0.619, 0.672] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM001070 | PGS000385 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608) |
PSS000565| European Ancestry| 3,591 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Pancreatic cancer | OR: 1.384 [1.235, 1.552] β: 0.325 (0.0583) |
AUROC: 0.589 [0.559, 0.622] | Nagelkerke's Pseudo-R²: 0.019 Brier score: 0.082 Odds Ratio (OR, top 1% vs. Rest): 2.58 [1.19, 5.57] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608 |
| PPM001071 | PGS000386 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608) |
PSS000565| European Ancestry| 3,591 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Pancreatic cancer | OR: 1.342 [1.199, 1.503] β: 0.294 (0.0577) |
AUROC: 0.579 [0.548, 0.611] | Nagelkerke's Pseudo-R²: 0.0157 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 1.64 [0.655, 4.12] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608 |
| PPM001367 | PGS000663 (wGRS22) |
PSS000598| European Ancestry| 1,591 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer | OR: 1.37 [1.23, 1.53] | — | — | — | Cross validation approach-testing sample = 20% |
| PPM001368 | PGS000663 (wGRS22) |
PSS000597| European Ancestry| 956 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer (0-10 years of follow-up) | OR: 1.46 [1.27, 1.68] | — | — | — | Cross validation approach-testing sample = 20% |
| PPM001369 | PGS000663 (wGRS22) |
PSS000598| European Ancestry| 1,591 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer | OR: 1.37 [1.22, 1.53] | AUROC: 0.65 | — | matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status | Cross validation approach-testing sample = 20% |
| PPM001370 | PGS000663 (wGRS22) |
PSS000597| European Ancestry| 956 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer (0-10 years of follow-up) | OR: 1.44 [1.25, 1.67] | AUROC: 0.67 | — | matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status | Cross validation approach-testing sample = 20% |
| PPM001604 | PGS000712 (T2D_HbA1c_39) |
PSS000755| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68713 | — | Age, sex, PCs(1-10) | — |
| PPM001605 | PGS000713 (T2D) |
PSS000754| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.688 | — | Age, sex, PCs(1-10) | — |
| PPM001615 | PGS000713 (T2D) |
PSS000756| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | HR: 1.49 [1.47, 1.51] | C-index: 0.669 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM021420 | PGS000713 (T2D) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.63 [1.6, 1.67] | AUROC: 0.712 [0.707, 0.717] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021449 | PGS000713 (T2D) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.74 [1.62, 1.88] | C-index: 0.748 [0.732, 0.765] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021479 | PGS000713 (T2D) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.2, 1.27] | AUROC: 0.718 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021499 | PGS000713 (T2D) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | AUROC: 0.762 [0.755, 0.769] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021524 | PGS000713 (T2D) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.19 [1.02, 1.39] | AUROC: 0.598 [0.554, 0.641] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021550 | PGS000713 (T2D) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.91 [0.77, 1.08] | AUROC: 0.643 [0.6, 0.686] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021574 | PGS000713 (T2D) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.95 [0.8, 1.12] | AUROC: 0.652 [0.608, 0.696] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021587 | PGS000713 (T2D) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.31 [1.21, 1.42] | AUROC: 0.714 [0.695, 0.734] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021597 | PGS000713 (T2D) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.9 [1.48, 2.45] | AUROC: 0.754 [0.7, 0.808] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021630 | PGS000713 (T2D) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.59 [1.49, 1.7] | AUROC: 0.721 [0.705, 0.736] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021654 | PGS000713 (T2D) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.12 [1.01, 1.23] | C-index: 0.644 [0.617, 0.671] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021660 | PGS000713 (T2D) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.74 [1.25, 2.41] | C-index: 0.722 [0.646, 0.798] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021689 | PGS000713 (T2D) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.26 [1.15, 1.37] | C-index: 0.619 [0.596, 0.641] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM001655 | PGS000725 (PRS_Pancreas) |
PSS000859| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident Pancreatic cancer | — | AUROC: 0.639 [0.613, 0.664] | — | Genotyping array | — |
| PPM001667 | PGS000729 (T2D_PGS) |
PSS000869| European Ancestry| 3,087 individuals |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Reported Trait: Incident type 2 diabetes | HR: 2.0 [1.36, 2.94] | — | — | age, sex, 10 genetic PCs | — |
| PPM021419 | PGS000729 (T2D_PGS) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.65 [1.61, 1.68] | AUROC: 0.712 [0.707, 0.717] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021448 | PGS000729 (T2D_PGS) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.75 [1.62, 1.88] | C-index: 0.753 [0.737, 0.77] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021481 | PGS000729 (T2D_PGS) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.19, 1.26] | AUROC: 0.718 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021501 | PGS000729 (T2D_PGS) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.45 [1.4, 1.51] | AUROC: 0.761 [0.754, 0.768] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021522 | PGS000729 (T2D_PGS) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.25 [1.07, 1.46] | AUROC: 0.615 [0.572, 0.657] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021546 | PGS000729 (T2D_PGS) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.25 [1.06, 1.48] | AUROC: 0.653 [0.612, 0.694] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021565 | PGS000729 (T2D_PGS) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.37 [1.16, 1.63] | AUROC: 0.668 [0.625, 0.712] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021592 | PGS000729 (T2D_PGS) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.25 [1.15, 1.35] | AUROC: 0.711 [0.692, 0.73] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021613 | PGS000729 (T2D_PGS) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.4 [1.1, 1.8] | AUROC: 0.718 [0.666, 0.771] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021632 | PGS000729 (T2D_PGS) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.55 [1.45, 1.66] | AUROC: 0.717 [0.703, 0.732] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021643 | PGS000729 (T2D_PGS) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.16 [1.05, 1.28] | C-index: 0.642 [0.615, 0.669] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021669 | PGS000729 (T2D_PGS) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.4 [1.0, 1.95] | C-index: 0.686 [0.611, 0.76] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021690 | PGS000729 (T2D_PGS) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.24 [1.14, 1.36] | C-index: 0.615 [0.592, 0.638] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM002065 | PGS000794 (CC_Pancreas_IV) |
PSS001022| European Ancestry| 391,491 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident pancreatic cancer | HR: 1.49 [1.37, 1.63] | AUROC: 0.745 C-index: 0.743 (0.012) |
R²: 0.439 | Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002117 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.568 [0.5588, 0.5772] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002119 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.825 [0.8222, 0.8279] | Odds Ratio (OR, top 10% vs middle 20%): 2.94 [2.8, 3.08] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002121 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6586 [0.6547, 0.6624] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002123 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7293 [0.721, 0.7376] | Odds Ratio (OR, top 10% vs middle 20%): 2.39 [2.1, 2.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002125 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6249 [0.6156, 0.6342] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002127 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8411 [0.8298, 0.8523] | Odds Ratio (OR, top 10% vs middle 20%): 3.08 [2.4, 3.95] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002129 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6263 [0.6101, 0.6425] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002131 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7989 [0.7845, 0.8133] | Odds Ratio (OR, top 10% vs middle 20%): 2.02 [1.54, 2.65] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002133 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6214 [0.603, 0.6399] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002115 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6701 [0.6615, 0.6788] | Odds Ratio (OR, top 10% vs middle 20%): 1.57 [1.39, 1.77] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002120 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8253 [0.8224, 0.8281] | Odds Ratio (OR, top 10% vs middle 20%): 2.95 [2.81, 3.1] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002122 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6593 [0.6555, 0.6632] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002134 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6213 [0.6029, 0.6397] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002132 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7985 [0.7842, 0.8129] | Odds Ratio (OR, top 10% vs middle 20%): 2.13 [1.63, 2.79] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM021422 | PGS000805 (GRS582_T2Deur) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.59 [1.56, 1.63] | AUROC: 0.707 [0.702, 0.712] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021457 | PGS000805 (GRS582_T2Deur) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.59 [1.48, 1.71] | C-index: 0.736 [0.718, 0.753] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021477 | PGS000805 (GRS582_T2Deur) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.2, 1.27] | AUROC: 0.718 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021497 | PGS000805 (GRS582_T2Deur) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.49 [1.44, 1.55] | AUROC: 0.764 [0.758, 0.771] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021518 | PGS000805 (GRS582_T2Deur) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.3 [1.11, 1.52] | AUROC: 0.613 [0.572, 0.654] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021561 | PGS000805 (GRS582_T2Deur) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.58 [1.33, 1.88] | AUROC: 0.701 [0.659, 0.743] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021590 | PGS000805 (GRS582_T2Deur) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.27 [1.18, 1.38] | AUROC: 0.714 [0.694, 0.733] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021603 | PGS000805 (GRS582_T2Deur) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.7 [1.35, 2.16] | AUROC: 0.734 [0.679, 0.788] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021629 | PGS000805 (GRS582_T2Deur) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.61 [1.51, 1.73] | AUROC: 0.721 [0.706, 0.736] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021640 | PGS000805 (GRS582_T2Deur) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.19 [1.08, 1.31] | C-index: 0.646 [0.619, 0.673] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021673 | PGS000805 (GRS582_T2Deur) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.28 [0.93, 1.76] | C-index: 0.679 [0.606, 0.753] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021688 | PGS000805 (GRS582_T2Deur) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.26 [1.16, 1.38] | C-index: 0.617 [0.594, 0.64] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021537 | PGS000805 (GRS582_T2Deur) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.45 [1.23, 1.72] | AUROC: 0.674 [0.633, 0.716] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM002116 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6656 [0.6569, 0.6743] | Odds Ratio (OR, top 10% vs middle 20%): 1.53 [1.36, 1.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002118 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5592 [0.5499, 0.5684] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002128 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8388 [0.8274, 0.8502] | Odds Ratio (OR, top 10% vs middle 20%): 2.84 [2.21, 3.65] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002130 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6161 [0.5998, 0.6324] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002135 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7909 [0.7763, 0.8056] | Odds Ratio (OR, top 10% vs middle 20%): 1.62 [1.23, 2.14] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002136 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5768 [0.558, 0.5956] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002124 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7202 [0.7118, 0.7286] | Odds Ratio (OR, top 10% vs middle 20%): 2.04 [1.79, 2.32] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002126 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6098 [0.6004, 0.6192] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002240 | PGS000832 (T2D-GRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.24 [1.16, 1.34] | — | — | PC1-10 | — |
| PPM002242 | PGS000832 (T2D-GRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.77 [1.67, 1.88] | — | — | PC1-10 | — |
| PPM002239 | PGS000832 (T2D-GRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.96 [1.81, 2.12] | — | — | PC1-10 | — |
| PPM002238 | PGS000832 (T2D-GRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.28 [1.16, 1.42] | — | — | PC1-10 | — |
| PPM002241 | PGS000832 (T2D-GRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.73 [1.61, 1.86] | — | — | PC1-10 | — |
| PPM020163 | PGS000832 (T2D-GRS) |
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: 1.78 [1.49, 2.13] | — | — | age, sex and BMI | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM020196 | PGS000832 (T2D-GRS) |
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: 1.5 [1.27, 1.76] | — | — | sex | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM020207 | PGS000832 (T2D-GRS) |
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: 1.54 [1.27, 1.87] | — | — | sex | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM020184 | PGS000832 (T2D-GRS) |
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: 1.66 [1.42, 1.93] | — | — | sex | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM002243 | PGS000833 (T1D) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.39 [1.25, 1.54] | — | — | PC1-10 | — |
| PPM002246 | PGS000833 (T1D) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002247 | PGS000833 (T1D) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.02 [0.97, 1.07] | — | — | PC1-10 | — |
| PPM002244 | PGS000833 (T1D) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002245 | PGS000833 (T1D) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.03 [0.96, 1.11] | — | — | PC1-10 | — |
| PPM002323 | PGS000848 (T2D_Adiposity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.11 [1.0, 1.23] | — | — | PC1-10 | — |
| PPM002324 | PGS000848 (T2D_Adiposity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.1 [1.02, 1.18] | — | — | PC1-10 | — |
| PPM002325 | PGS000848 (T2D_Adiposity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.11 [1.03, 1.19] | — | — | PC1-10 | — |
| PPM002326 | PGS000848 (T2D_Adiposity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.2 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002327 | PGS000848 (T2D_Adiposity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM020167 | PGS000848 (T2D_Adiposity) |
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: 1.14 [1.01, 1.28] | — | — | sex | — |
| PPM020183 | PGS000848 (T2D_Adiposity) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: BMI | β: 0.06772 (0.027943) | — | — | — | — |
| PPM020187 | PGS000848 (T2D_Adiposity) |
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: 1.23 [1.07, 1.43] | — | — | sex | — |
| PPM002329 | PGS000849 (T2D_Impaired_Lipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.07 [1.0, 1.15] | — | — | PC1-10 | — |
| PPM002330 | PGS000849 (T2D_Impaired_Lipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.01, 1.17] | — | — | PC1-10 | — |
| PPM002331 | PGS000849 (T2D_Impaired_Lipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | — |
| PPM002332 | PGS000849 (T2D_Impaired_Lipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM002328 | PGS000849 (T2D_Impaired_Lipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.97, 1.2] | — | — | PC1-10 | — |
| PPM020176 | PGS000849 (T2D_Impaired_Lipids) |
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: 1.2 [1.0, 1.44] | — | — | age, sex and BMI | — |
| PPM020194 | PGS000849 (T2D_Impaired_Lipids) |
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: 1.2 [1.03, 1.4] | — | — | sex | — |
| PPM020204 | PGS000849 (T2D_Impaired_Lipids) |
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: 1.26 [1.07, 1.49] | — | — | sex | — |
| PPM002333 | PGS000850 (T2D_Insulin_Action) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.98, 1.2] | — | — | PC1-10 | — |
| PPM002334 | PGS000850 (T2D_Insulin_Action) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.17 [1.09, 1.25] | — | — | PC1-10 | — |
| PPM002335 | PGS000850 (T2D_Insulin_Action) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.17 [1.09, 1.26] | — | — | PC1-10 | — |
| PPM002337 | PGS000850 (T2D_Insulin_Action) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.16 [1.1, 1.23] | — | — | PC1-10 | — |
| PPM002336 | PGS000850 (T2D_Insulin_Action) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.07, 1.22] | — | — | PC1-10 | — |
| PPM020173 | PGS000850 (T2D_Insulin_Action) |
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: 1.16 [1.03, 1.3] | — | — | sex | — |
| PPM020201 | PGS000850 (T2D_Insulin_Action) |
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: 1.17 [1.0, 1.36] | — | — | sex | — |
| PPM020213 | PGS000850 (T2D_Insulin_Action) |
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: 1.26 [1.04, 1.53] | — | — | sex | — |
| PPM002338 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.24 [1.12, 1.37] | — | — | PC1-10 | — |
| PPM002339 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.32] | — | — | PC1-10 | — |
| PPM002340 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002341 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002342 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.19 [1.13, 1.26] | — | — | PC1-10 | — |
| PPM020172 | PGS000851 (T2D_Insulin_Action_Secretion) |
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: 1.07 [0.9, 1.28] | — | — | age, sex and BMI | — |
| PPM020192 | PGS000851 (T2D_Insulin_Action_Secretion) |
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: 1.17 [1.01, 1.34] | — | — | sex | — |
| PPM020212 | PGS000851 (T2D_Insulin_Action_Secretion) |
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: 1.45 [1.19, 1.78] | — | — | sex | — |
| PPM002343 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.01 [0.91, 1.12] | — | — | PC1-10 | — |
| PPM002344 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.31 [1.22, 1.41] | — | — | PC1-10 | — |
| PPM002345 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.12] | — | — | PC1-10 | — |
| PPM002347 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.29 [1.22, 1.37] | — | — | PC1-10 | — |
| PPM002346 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.26 [1.18, 1.35] | — | — | PC1-10 | — |
| PPM020170 | PGS000852 (T2D_Insulin_Secretion_1) |
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: 1.33 [1.12, 1.58] | — | — | age, sex and BMI | — |
| PPM020190 | PGS000852 (T2D_Insulin_Secretion_1) |
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: 1.38 [1.19, 1.59] | — | — | sex | — |
| PPM020199 | PGS000852 (T2D_Insulin_Secretion_1) |
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: 1.25 [1.08, 1.46] | — | — | sex | — |
| PPM020210 | PGS000852 (T2D_Insulin_Secretion_1) |
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: 1.33 [1.1, 1.61] | — | — | sex | — |
| PPM002348 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.99 [0.9, 1.1] | — | — | PC1-10 | — |
| PPM002349 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.26 [1.18, 1.36] | — | — | PC1-10 | — |
| PPM002350 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002351 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.18 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002352 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.23 [1.17, 1.3] | — | — | PC1-10 | — |
| PPM020171 | PGS000853 (T2D_Insulin_Secretion_2) |
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: 1.32 [1.11, 1.57] | — | — | age, sex and BMI | — |
| PPM020200 | PGS000853 (T2D_Insulin_Secretion_2) |
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: 1.24 [1.07, 1.45] | — | — | sex | — |
| PPM020211 | PGS000853 (T2D_Insulin_Secretion_2) |
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: 1.32 [1.1, 1.59] | — | — | sex | — |
| PPM002353 | PGS000854 (T2D_BetaCell) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.0 [0.91, 1.11] | — | — | PC1-10 | — |
| PPM002354 | PGS000854 (T2D_BetaCell) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.32 [1.23, 1.42] | — | — | PC1-10 | — |
| PPM002355 | PGS000854 (T2D_BetaCell) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002357 | PGS000854 (T2D_BetaCell) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.27 [1.2, 1.34] | — | — | PC1-10 | — |
| PPM002356 | PGS000854 (T2D_BetaCell) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.21 [1.13, 1.3] | — | — | PC1-10 | — |
| PPM020168 | PGS000854 (T2D_BetaCell) |
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: 0.89 [0.79, 1.0] | — | — | sex | — |
| PPM020188 | PGS000854 (T2D_BetaCell) |
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: 0.87 [0.75, 1.0] | — | — | sex | — |
| PPM020209 | PGS000854 (T2D_BetaCell) |
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: 0.81 [0.67, 0.97] | — | — | sex | — |
| PPM002358 | PGS000855 (T2D_Lipodystrophy) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.12 [1.01, 1.25] | — | — | PC1-10 | — |
| PPM002359 | PGS000855 (T2D_Lipodystrophy) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.33] | — | — | PC1-10 | — |
| PPM002360 | PGS000855 (T2D_Lipodystrophy) |
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 | — |
| PPM002361 | PGS000855 (T2D_Lipodystrophy) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002362 | PGS000855 (T2D_Lipodystrophy) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.18 [1.11, 1.24] | — | — | PC1-10 | — |
| PPM020175 | PGS000855 (T2D_Lipodystrophy) |
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, 1.31] | — | — | sex | — |
| PPM020193 | PGS000855 (T2D_Lipodystrophy) |
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: 1.16 [1.0, 1.34] | — | — | sex | — |
| PPM020203 | PGS000855 (T2D_Lipodystrophy) |
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: 1.18 [1.01, 1.37] | — | — | sex | — |
| PPM002363 | PGS000856 (T2D_LiverLipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.35 [1.22, 1.51] | — | — | PC1-10 | — |
| PPM002364 | PGS000856 (T2D_LiverLipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002366 | PGS000856 (T2D_LiverLipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002367 | PGS000856 (T2D_LiverLipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.01] | — | — | PC1-10 | — |
| PPM002365 | PGS000856 (T2D_LiverLipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.97 [0.91, 1.05] | — | — | PC1-10 | — |
| PPM020177 | PGS000856 (T2D_LiverLipids) |
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: 1.29 [1.09, 1.54] | — | — | age, sex and BMI | — |
| PPM020195 | PGS000856 (T2D_LiverLipids) |
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: 1.24 [1.07, 1.43] | — | — | sex | — |
| PPM020205 | PGS000856 (T2D_LiverLipids) |
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 | — |
| PPM020206 | PGS000856 (T2D_LiverLipids) |
PSS011304| South Asian Ancestry| 482 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin-resistant diabetes | OR: 2.04 [1.26, 3.3] | — | — | sex | — |
| PPM002368 | PGS000857 (T2D_Obesity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.07 [0.97, 1.19] | — | — | PC1-10 | — |
| PPM002369 | PGS000857 (T2D_Obesity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.08 [1.01, 1.16] | — | — | PC1-10 | — |
| PPM002370 | PGS000857 (T2D_Obesity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.13 [1.05, 1.22] | — | — | PC1-10 | — |
| PPM002371 | PGS000857 (T2D_Obesity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002372 | PGS000857 (T2D_Obesity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.04 [0.99, 1.1] | — | — | PC1-10 | — |
| PPM020164 | PGS000857 (T2D_Obesity) |
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: 0.87 [0.77, 0.99] | — | — | sex | — |
| PPM002373 | PGS000858 (T2D_Proinsulin) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.94 [0.85, 1.04] | — | — | PC1-10 | — |
| PPM002374 | PGS000858 (T2D_Proinsulin) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002376 | PGS000858 (T2D_Proinsulin) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.06 [0.99, 1.13] | — | — | PC1-10 | — |
| PPM002377 | PGS000858 (T2D_Proinsulin) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.1 [1.04, 1.16] | — | — | PC1-10 | — |
| PPM002375 | PGS000858 (T2D_Proinsulin) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.93 [0.87, 1.0] | — | — | PC1-10 | — |
| PPM020174 | PGS000858 (T2D_Proinsulin) |
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: 1.22 [1.03, 1.44] | — | — | age, sex and BMI | — |
| PPM020202 | PGS000858 (T2D_Proinsulin) |
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: 1.2 [1.03, 1.4] | — | — | sex | — |
| PPM020214 | PGS000858 (T2D_Proinsulin) |
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: 1.23 [1.01, 1.48] | — | — | sex | — |
| PPM002403 | PGS000864 (T2D-gPRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.42 [1.28, 1.58] | — | — | PC1-10 | — |
| PPM002404 | PGS000864 (T2D-gPRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.93 [1.79, 2.09] | — | — | PC1-10 | — |
| PPM002406 | PGS000864 (T2D-gPRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 2.12 [1.96, 2.29] | — | — | PC1-10 | — |
| PPM002407 | PGS000864 (T2D-gPRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.59 [1.5, 1.69] | — | — | PC1-10 | — |
| PPM002405 | PGS000864 (T2D-gPRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.56 [1.45, 1.69] | — | — | PC1-10 | — |
| PPM021459 | PGS000864 (T2D-gPRS) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.32 [1.27, 1.38] | C-index: 0.731 [0.714, 0.749] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021509 | PGS000864 (T2D-gPRS) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.02 [0.99, 1.06] | AUROC: 0.745 [0.738, 0.752] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021529 | PGS000864 (T2D-gPRS) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.04 [0.9, 1.21] | AUROC: 0.584 [0.54, 0.628] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021551 | PGS000864 (T2D-gPRS) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.09 [0.93, 1.28] | AUROC: 0.643 [0.6, 0.686] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021575 | PGS000864 (T2D-gPRS) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.98 [0.83, 1.16] | AUROC: 0.653 [0.609, 0.697] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021596 | PGS000864 (T2D-gPRS) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.08 [1.0, 1.17] | AUROC: 0.705 [0.686, 0.724] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021617 | PGS000864 (T2D-gPRS) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.05 [0.83, 1.32] | AUROC: 0.7 [0.643, 0.757] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021638 | PGS000864 (T2D-gPRS) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.16, 1.31] | AUROC: 0.693 [0.678, 0.709] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021659 | PGS000864 (T2D-gPRS) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 0.94 [0.85, 1.03] | C-index: 0.639 [0.612, 0.667] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021701 | PGS000864 (T2D-gPRS) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.1 [1.02, 1.2] | C-index: 0.604 [0.58, 0.627] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021431 | PGS000864 (T2D-gPRS) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.34 [1.32, 1.37] | AUROC: 0.687 [0.682, 0.692] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021487 | PGS000864 (T2D-gPRS) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.03 [1.0, 1.06] | AUROC: 0.711 [0.705, 0.718] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021680 | PGS000864 (T2D-gPRS) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.1 [0.81, 1.5] | C-index: 0.677 [0.604, 0.75] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM002413 | PGS000868 (T2D_221) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.285 | — | — | PCs(1-4), site of recruitment | — |
| PPM021429 | PGS000868 (T2D_221) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.48 [1.45, 1.51] | AUROC: 0.696 [0.691, 0.701] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021456 | PGS000868 (T2D_221) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.6 [1.48, 1.72] | C-index: 0.736 [0.719, 0.753] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021483 | PGS000868 (T2D_221) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.21 [1.17, 1.24] | AUROC: 0.717 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021507 | PGS000868 (T2D_221) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.38 [1.33, 1.43] | AUROC: 0.758 [0.751, 0.765] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021523 | PGS000868 (T2D_221) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.24 [1.06, 1.44] | AUROC: 0.604 [0.564, 0.645] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021536 | PGS000868 (T2D_221) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.52 [1.28, 1.8] | AUROC: 0.677 [0.635, 0.72] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021568 | PGS000868 (T2D_221) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.34 [1.14, 1.6] | AUROC: 0.674 [0.631, 0.717] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021594 | PGS000868 (T2D_221) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.19 [1.1, 1.29] | AUROC: 0.708 [0.689, 0.728] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021608 | PGS000868 (T2D_221) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.57 [1.24, 2.0] | AUROC: 0.727 [0.672, 0.782] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021636 | PGS000868 (T2D_221) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.49 [1.39, 1.59] | AUROC: 0.711 [0.696, 0.726] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021647 | PGS000868 (T2D_221) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.13 [1.02, 1.24] | C-index: 0.644 [0.616, 0.671] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021670 | PGS000868 (T2D_221) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.37 [0.99, 1.9] | C-index: 0.684 [0.609, 0.758] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021692 | PGS000868 (T2D_221) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.24 [1.14, 1.35] | C-index: 0.613 [0.59, 0.637] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM002414 | PGS000869 (T1D_48) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.077 | — | — | PCs(1-4), site of recruitment | — |
| PPM007833 | PGS001014 (GBE_HC654) |
PSS004585| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.65665 [0.58207, 0.73122] | R²: 0.03396 Incremental AUROC (full-covars): -0.00764 PGS R2 (no covariates): 0.00359 PGS AUROC (no covariates): 0.4188 [0.34373, 0.49387] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007834 | PGS001014 (GBE_HC654) |
PSS004586| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.86357 [0.7171, 1.0] | R²: 0.15881 Incremental AUROC (full-covars): -0.01283 PGS R2 (no covariates): 0.02019 PGS AUROC (no covariates): 0.35821 [0.13039, 0.58603] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007835 | PGS001014 (GBE_HC654) |
PSS004587| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.64476 [0.60172, 0.6878] | R²: 0.02426 Incremental AUROC (full-covars): -0.00192 PGS R2 (no covariates): 0.00131 PGS AUROC (no covariates): 0.52076 [0.4675, 0.57402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007836 | PGS001014 (GBE_HC654) |
PSS004588| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.73516 [0.68282, 0.7875] | R²: 0.07572 Incremental AUROC (full-covars): -0.00172 PGS R2 (no covariates): 0.00033 PGS AUROC (no covariates): 0.50209 [0.4372, 0.56698] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007837 | PGS001014 (GBE_HC654) |
PSS004589| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.63289 [0.60549, 0.66029] | R²: 0.01894 Incremental AUROC (full-covars): 0.01617 PGS R2 (no covariates): 0.00452 PGS AUROC (no covariates): 0.55692 [0.52735, 0.58649] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008968 | PGS001294 (GBE_HC649) |
PSS004575| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.70052 [0.68094, 0.7201] | R²: 0.10493 Incremental AUROC (full-covars): 0.00213 PGS R2 (no covariates): 0.00615 PGS AUROC (no covariates): 0.54526 [0.52378, 0.56673] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008969 | PGS001294 (GBE_HC649) |
PSS004576| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.75536 [0.71488, 0.79584] | R²: 0.1242 Incremental AUROC (full-covars): 0.01544 PGS R2 (no covariates): 0.01604 PGS AUROC (no covariates): 0.5808 [0.52621, 0.63538] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008970 | PGS001294 (GBE_HC649) |
PSS004577| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.72888 [0.71557, 0.7422] | R²: 0.10344 Incremental AUROC (full-covars): 0.03534 PGS R2 (no covariates): 0.03413 PGS AUROC (no covariates): 0.63582 [0.62119, 0.65045] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008971 | PGS001294 (GBE_HC649) |
PSS004578| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.68707 [0.67293, 0.70121] | R²: 0.11343 Incremental AUROC (full-covars): 0.01724 PGS R2 (no covariates): 0.02384 PGS AUROC (no covariates): 0.58532 [0.56986, 0.60078] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008972 | PGS001294 (GBE_HC649) |
PSS004579| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.71038 [0.70256, 0.71821] | R²: 0.08854 Incremental AUROC (full-covars): 0.04133 PGS R2 (no covariates): 0.03493 PGS AUROC (no covariates): 0.63323 [0.62453, 0.64194] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008973 | PGS001295 (GBE_HC165) |
PSS004312| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68145 [0.62426, 0.73864] | R²: 0.04466 Incremental AUROC (full-covars): 0.00427 PGS R2 (no covariates): 0.00162 PGS AUROC (no covariates): 0.5359 [0.47698, 0.59482] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008974 | PGS001295 (GBE_HC165) |
PSS004313| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.83509 [0.71831, 0.95186] | R²: 0.20575 Incremental AUROC (full-covars): -0.00085 PGS R2 (no covariates): 0.00265 PGS AUROC (no covariates): 0.56328 [0.47919, 0.64736] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008975 | PGS001295 (GBE_HC165) |
PSS004314| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69318 [0.65625, 0.73011] | R²: 0.04603 Incremental AUROC (full-covars): 0.0115 PGS R2 (no covariates): 0.00675 PGS AUROC (no covariates): 0.58258 [0.54116, 0.62401] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008976 | PGS001295 (GBE_HC165) |
PSS004315| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.65806 [0.61856, 0.69756] | R²: 0.0392 Incremental AUROC (full-covars): 0.01243 PGS R2 (no covariates): 0.00618 PGS AUROC (no covariates): 0.5613 [0.5184, 0.60421] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008977 | PGS001295 (GBE_HC165) |
PSS004316| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68247 [0.66155, 0.70338] | R²: 0.03772 Incremental AUROC (full-covars): 0.01405 PGS R2 (no covariates): 0.00633 PGS AUROC (no covariates): 0.57592 [0.55208, 0.59975] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008978 | PGS001296 (GBE_HC648) |
PSS004570| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.66885 [0.62172, 0.71599] | R²: 0.04054 Incremental AUROC (full-covars): -0.01128 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008979 | PGS001296 (GBE_HC648) |
PSS004571| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.89264 [0.80447, 0.98081] | R²: 0.19006 Incremental AUROC (full-covars): -0.01413 PGS R2 (no covariates): 0.00422 PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008980 | PGS001296 (GBE_HC648) |
PSS004572| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.70536 [0.66494, 0.74577] | R²: 0.0607 Incremental AUROC (full-covars): 0.12077 PGS R2 (no covariates): 0.05496 PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008981 | PGS001296 (GBE_HC648) |
PSS004573| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.67679 [0.6379, 0.71568] | R²: 0.04266 Incremental AUROC (full-covars): -0.01593 PGS R2 (no covariates): 0.0016 PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008982 | PGS001296 (GBE_HC648) |
PSS004574| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.65986 [0.63673, 0.68299] | R²: 0.03385 Incremental AUROC (full-covars): 0.06785 PGS R2 (no covariates): 0.02496 PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008983 | PGS001297 (GBE_HC337) |
PSS004457| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.78146 [0.64554, 0.91738] | R²: 0.08635 Incremental AUROC (full-covars): -0.05504 PGS R2 (no covariates): 0.00185 PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008984 | PGS001297 (GBE_HC337) |
PSS004458| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.79737 [0.708, 0.88674] | R²: 0.11683 Incremental AUROC (full-covars): 0.09636 PGS R2 (no covariates): 0.0912 PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008985 | PGS001297 (GBE_HC337) |
PSS004459| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.81031 [0.66359, 0.95703] | R²: 0.06825 Incremental AUROC (full-covars): -0.01908 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008986 | PGS001297 (GBE_HC337) |
PSS004460| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7643 [0.7041, 0.8245] | R²: 0.06625 Incremental AUROC (full-covars): 0.19149 PGS R2 (no covariates): 0.06103 PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009122 | PGS001327 (GBE_HC221) |
PSS004359| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.68586 [0.66802, 0.7037] | R²: 0.09776 Incremental AUROC (full-covars): 0.00638 PGS R2 (no covariates): 0.00926 PGS AUROC (no covariates): 0.55541 [0.53643, 0.5744] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009123 | PGS001327 (GBE_HC221) |
PSS004360| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.69569 [0.64958, 0.7418] | R²: 0.08294 Incremental AUROC (full-covars): 0.01187 PGS R2 (no covariates): 0.01141 PGS AUROC (no covariates): 0.56178 [0.51127, 0.61228] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009124 | PGS001327 (GBE_HC221) |
PSS004361| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.70541 [0.69227, 0.71854] | R²: 0.08595 Incremental AUROC (full-covars): 0.04263 PGS R2 (no covariates): 0.03446 PGS AUROC (no covariates): 0.63125 [0.61738, 0.64511] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009125 | PGS001327 (GBE_HC221) |
PSS004362| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.68746 [0.67395, 0.70097] | R²: 0.11895 Incremental AUROC (full-covars): 0.02618 PGS R2 (no covariates): 0.03527 PGS AUROC (no covariates): 0.60108 [0.5865, 0.61565] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009126 | PGS001327 (GBE_HC221) |
PSS004363| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.69818 [0.69047, 0.70589] | R²: 0.08111 Incremental AUROC (full-covars): 0.04455 PGS R2 (no covariates): 0.03558 PGS AUROC (no covariates): 0.63112 [0.6228, 0.63945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009132 | PGS001329 (GBE_HC652) |
PSS004580| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.69503 [0.67407, 0.716] | R²: 0.08972 Incremental AUROC (full-covars): 0.00332 PGS R2 (no covariates): 0.00713 PGS AUROC (no covariates): 0.55713 [0.53377, 0.58048] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009133 | PGS001329 (GBE_HC652) |
PSS004581| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.70891 [0.65305, 0.76477] | R²: 0.09058 Incremental AUROC (full-covars): 0.02211 PGS R2 (no covariates): 0.02321 PGS AUROC (no covariates): 0.60847 [0.55016, 0.66678] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009134 | PGS001329 (GBE_HC652) |
PSS004582| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.72437 [0.70887, 0.73987] | R²: 0.08424 Incremental AUROC (full-covars): 0.03715 PGS R2 (no covariates): 0.02619 PGS AUROC (no covariates): 0.62743 [0.60999, 0.64487] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009135 | PGS001329 (GBE_HC652) |
PSS004583| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.70359 [0.68854, 0.71865] | R²: 0.11885 Incremental AUROC (full-covars): 0.02262 PGS R2 (no covariates): 0.02671 PGS AUROC (no covariates): 0.59807 [0.58121, 0.61493] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009136 | PGS001329 (GBE_HC652) |
PSS004584| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.7046 [0.69521, 0.71399] | R²: 0.0749 Incremental AUROC (full-covars): 0.04078 PGS R2 (no covariates): 0.03024 PGS AUROC (no covariates): 0.63102 [0.62084, 0.64119] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005189 | PGS001357 (T2D_AnnoPred_PRS) |
PSS003606| European Ancestry| 178,138 individuals |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6446 | — | Age, sex, PCs(1-10) | — |
| PPM021423 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.56 [1.53, 1.59] | AUROC: 0.704 [0.699, 0.709] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021433 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011747| European Ancestry| 245,177 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.8 [1.77, 1.84] | AUROC: 0.739 [0.734, 0.743] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021451 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.65 [1.53, 1.77] | C-index: 0.742 [0.725, 0.76] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021461 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011746| European Ancestry| 232,808 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.51 [1.47, 1.55] | C-index: 0.69 [0.684, 0.696] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021478 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.2, 1.27] | AUROC: 0.718 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021500 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.45 [1.4, 1.51] | AUROC: 0.761 [0.754, 0.768] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021525 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.15 [0.98, 1.34] | AUROC: 0.593 [0.55, 0.636] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021545 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.27 [1.08, 1.5] | AUROC: 0.655 [0.613, 0.696] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021562 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.5 [1.26, 1.79] | AUROC: 0.682 [0.64, 0.725] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021583 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.22, 1.43] | AUROC: 0.717 [0.698, 0.736] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021609 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.45 [1.14, 1.84] | AUROC: 0.712 [0.655, 0.769] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021625 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.62 [1.52, 1.73] | AUROC: 0.723 [0.708, 0.738] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021644 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.15 [1.04, 1.27] | C-index: 0.645 [0.618, 0.672] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021668 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.39 [1.01, 1.92] | C-index: 0.687 [0.612, 0.762] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021697 | PGS001357 (T2D_AnnoPred_PRS) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.15 [1.06, 1.26] | C-index: 0.606 [0.583, 0.629] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM007030 | PGS001371 (GBE_INI2976) |
PSS006886| African Ancestry| 673 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.28398 [0.26544, 0.30253] Incremental R2 (full-covars): -0.00362 PGS R2 (no covariates): 0.00112 [-0.0005, 0.00275] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007031 | PGS001371 (GBE_INI2976) |
PSS006887| East Asian Ancestry| 86 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.31131 [0.27489, 0.34772] Incremental R2 (full-covars): 0.00576 PGS R2 (no covariates): 0.00203 [-0.00223, 0.00629] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007032 | PGS001371 (GBE_INI2976) |
PSS006888| European Ancestry| 1,059 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.37828 [0.36879, 0.38778] Incremental R2 (full-covars): 0.02371 PGS R2 (no covariates): 0.04728 [0.04214, 0.05243] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007033 | PGS001371 (GBE_INI2976) |
PSS006889| South Asian Ancestry| 1,335 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.20384 [0.18792, 0.21975] Incremental R2 (full-covars): -0.00895 PGS R2 (no covariates): 0.00042 [-0.00049, 0.00133] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007034 | PGS001371 (GBE_INI2976) |
PSS006890| European Ancestry| 3,195 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.28031 [0.27455, 0.28606] Incremental R2 (full-covars): 0.02294 PGS R2 (no covariates): 0.03923 [0.03636, 0.0421] |
age, sex, UKB array type, Genotype PCs | — |
| PPM009277 | PGS001781 (T2D_PRSCS) |
PSS007684| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Type 2 diabetes (incident and prevalent) | OR: 1.59 [1.57, 1.61] | AUROC: 0.758 [0.756, 0.761] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009281 | PGS001781 (T2D_PRSCS) |
PSS007685| European Ancestry| 279,879 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.52 [1.49, 1.55] | AUROC: 0.852 [0.849, 0.855] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009287 | PGS001781 (T2D_PRSCS) |
PSS007692| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent type 2 diabetes | OR: 1.75 [1.72, 1.78] | AUROC: 0.725 [0.721, 0.729] | — | year of birth, sex | — |
| PPM009283 | PGS001781 (T2D_PRSCS) |
PSS007691| European Ancestry| 328,115 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.51 [1.48, 1.54] | AUROC: 0.669 [0.664, 0.675] | — | year of birth, sex | — |
| PPM009285 | PGS001781 (T2D_PRSCS) |
PSS007686| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent type 2 diabetes | OR: 1.59 [1.57, 1.61] | AUROC: 0.81 [0.808, 0.813] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009279 | PGS001781 (T2D_PRSCS) |
PSS007690| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Type 2 diabetes (incident and prevalent) | OR: 1.68 [1.65, 1.7] | AUROC: 0.708 [0.705, 0.711] | — | year of birth, sex | — |
| PPM021426 | PGS001781 (T2D_PRSCS) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.54 [1.51, 1.58] | AUROC: 0.702 [0.698, 0.707] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021435 | PGS001781 (T2D_PRSCS) |
PSS011747| European Ancestry| 245,177 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.77 [1.74, 1.81] | AUROC: 0.736 [0.732, 0.741] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021455 | PGS001781 (T2D_PRSCS) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.61 [1.5, 1.73] | C-index: 0.741 [0.723, 0.758] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021463 | PGS001781 (T2D_PRSCS) |
PSS011746| European Ancestry| 232,808 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.48 [1.45, 1.52] | C-index: 0.688 [0.682, 0.695] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021485 | PGS001781 (T2D_PRSCS) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.2 [1.16, 1.23] | AUROC: 0.716 [0.71, 0.723] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021504 | PGS001781 (T2D_PRSCS) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.43 [1.38, 1.48] | AUROC: 0.76 [0.753, 0.767] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021527 | PGS001781 (T2D_PRSCS) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.12 [0.96, 1.3] | AUROC: 0.593 [0.551, 0.636] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021549 | PGS001781 (T2D_PRSCS) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.12 [0.95, 1.32] | AUROC: 0.645 [0.602, 0.687] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021566 | PGS001781 (T2D_PRSCS) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.37 [1.16, 1.63] | AUROC: 0.672 [0.629, 0.715] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021588 | PGS001781 (T2D_PRSCS) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.29 [1.2, 1.4] | AUROC: 0.714 [0.695, 0.733] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021616 | PGS001781 (T2D_PRSCS) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.22 [0.96, 1.55] | AUROC: 0.704 [0.647, 0.761] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021633 | PGS001781 (T2D_PRSCS) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.53 [1.43, 1.64] | AUROC: 0.716 [0.701, 0.731] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021645 | PGS001781 (T2D_PRSCS) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.13 [1.03, 1.25] | C-index: 0.641 [0.613, 0.668] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021676 | PGS001781 (T2D_PRSCS) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.24 [0.9, 1.72] | C-index: 0.685 [0.609, 0.761] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021696 | PGS001781 (T2D_PRSCS) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.16 [1.06, 1.27] | C-index: 0.607 [0.584, 0.63] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM009436 | PGS001817 (portability-PLR_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009437 | PGS001817 (portability-PLR_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009438 | PGS001817 (portability-PLR_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009439 | PGS001817 (portability-PLR_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009440 | PGS001817 (portability-PLR_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009441 | PGS001817 (portability-PLR_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009442 | PGS001817 (portability-PLR_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009443 | PGS001817 (portability-PLR_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009444 | PGS001818 (portability-PLR_250.2) |
PSS009288| European Ancestry| 19,931 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1246 [0.1109, 0.1382] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009445 | PGS001818 (portability-PLR_250.2) |
PSS009062| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0862 [0.0557, 0.1165] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009447 | PGS001818 (portability-PLR_250.2) |
PSS008392| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1735 [0.1176, 0.2284] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009448 | PGS001818 (portability-PLR_250.2) |
PSS008170| South Asian Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1556 [0.1314, 0.1796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009449 | PGS001818 (portability-PLR_250.2) |
PSS007957| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0665 [0.0202, 0.1125] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009450 | PGS001818 (portability-PLR_250.2) |
PSS007738| African Ancestry| 2,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0956 [0.0562, 0.1346] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009451 | PGS001818 (portability-PLR_250.2) |
PSS008841| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0522 [0.0208, 0.0836] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009446 | PGS001818 (portability-PLR_250.2) |
PSS008616| European Ancestry| 6,646 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.108 [0.0842, 0.1317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM021421 | PGS001818 (portability-PLR_250.2) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.62 [1.58, 1.65] | AUROC: 0.709 [0.704, 0.714] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021447 | PGS001818 (portability-PLR_250.2) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.75 [1.63, 1.89] | C-index: 0.75 [0.734, 0.767] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021475 | PGS001818 (portability-PLR_250.2) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.27 [1.23, 1.3] | AUROC: 0.72 [0.714, 0.727] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021498 | PGS001818 (portability-PLR_250.2) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | AUROC: 0.762 [0.755, 0.769] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021517 | PGS001818 (portability-PLR_250.2) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.3 [1.11, 1.51] | AUROC: 0.622 [0.581, 0.664] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021534 | PGS001818 (portability-PLR_250.2) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.54 [1.3, 1.83] | AUROC: 0.677 [0.634, 0.72] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021567 | PGS001818 (portability-PLR_250.2) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.36 [1.15, 1.62] | AUROC: 0.675 [0.632, 0.718] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021584 | PGS001818 (portability-PLR_250.2) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.22, 1.43] | AUROC: 0.716 [0.697, 0.735] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021602 | PGS001818 (portability-PLR_250.2) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.74 [1.36, 2.22] | AUROC: 0.734 [0.679, 0.788] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021628 | PGS001818 (portability-PLR_250.2) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.61 [1.51, 1.72] | AUROC: 0.723 [0.708, 0.738] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021658 | PGS001818 (portability-PLR_250.2) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.09 [0.98, 1.2] | C-index: 0.642 [0.615, 0.669] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021675 | PGS001818 (portability-PLR_250.2) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.25 [0.9, 1.73] | C-index: 0.687 [0.616, 0.758] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021693 | PGS001818 (portability-PLR_250.2) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.24 [1.13, 1.35] | C-index: 0.616 [0.594, 0.639] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM011074 | PGS002025 (portability-ldpred2_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011075 | PGS002025 (portability-ldpred2_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011076 | PGS002025 (portability-ldpred2_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011077 | PGS002025 (portability-ldpred2_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011078 | PGS002025 (portability-ldpred2_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011079 | PGS002025 (portability-ldpred2_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011080 | PGS002025 (portability-ldpred2_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011081 | PGS002025 (portability-ldpred2_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011082 | PGS002026 (portability-ldpred2_250.2) |
PSS009288| European Ancestry| 19,931 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1304 [0.1168, 0.1441] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011083 | PGS002026 (portability-ldpred2_250.2) |
PSS009062| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0862 [0.0558, 0.1165] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011084 | PGS002026 (portability-ldpred2_250.2) |
PSS008616| European Ancestry| 6,646 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1134 [0.0896, 0.1371] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011085 | PGS002026 (portability-ldpred2_250.2) |
PSS008392| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1764 [0.1205, 0.2312] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011087 | PGS002026 (portability-ldpred2_250.2) |
PSS007957| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0786 [0.0324, 0.1246] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011088 | PGS002026 (portability-ldpred2_250.2) |
PSS007738| African Ancestry| 2,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1001 [0.0607, 0.1391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011089 | PGS002026 (portability-ldpred2_250.2) |
PSS008841| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0806 [0.0493, 0.1118] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011086 | PGS002026 (portability-ldpred2_250.2) |
PSS008170| South Asian Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.158 [0.1338, 0.182] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM020889 | PGS002026 (portability-ldpred2_250.2) |
PSS011442| European Ancestry| 564 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 0.96 [0.8, 1.16] | — | — | — | — |
| PPM020894 | PGS002026 (portability-ldpred2_250.2) |
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 [0.9, 1.35] | — | — | — | — |
| PPM021418 | PGS002026 (portability-ldpred2_250.2) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.67 [1.63, 1.71] | AUROC: 0.714 [0.709, 0.719] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021446 | PGS002026 (portability-ldpred2_250.2) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.81 [1.68, 1.95] | C-index: 0.752 [0.735, 0.769] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021473 | PGS002026 (portability-ldpred2_250.2) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.28 [1.24, 1.32] | AUROC: 0.721 [0.714, 0.727] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021496 | PGS002026 (portability-ldpred2_250.2) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.49 [1.44, 1.55] | AUROC: 0.764 [0.757, 0.771] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021538 | PGS002026 (portability-ldpred2_250.2) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.43 [1.21, 1.7] | AUROC: 0.666 [0.623, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021564 | PGS002026 (portability-ldpred2_250.2) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.44 [1.22, 1.72] | AUROC: 0.685 [0.643, 0.727] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021582 | PGS002026 (portability-ldpred2_250.2) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.35 [1.24, 1.46] | AUROC: 0.719 [0.7, 0.737] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021605 | PGS002026 (portability-ldpred2_250.2) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.6 [1.26, 2.03] | AUROC: 0.722 [0.664, 0.78] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021624 | PGS002026 (portability-ldpred2_250.2) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.64 [1.53, 1.75] | AUROC: 0.724 [0.709, 0.739] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021651 | PGS002026 (portability-ldpred2_250.2) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.12 [1.02, 1.24] | C-index: 0.643 [0.616, 0.67] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021674 | PGS002026 (portability-ldpred2_250.2) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.28 [0.92, 1.77] | C-index: 0.686 [0.609, 0.763] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021694 | PGS002026 (portability-ldpred2_250.2) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.23 [1.13, 1.35] | C-index: 0.617 [0.595, 0.64] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021516 | PGS002026 (portability-ldpred2_250.2) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.32 [1.13, 1.54] | AUROC: 0.621 [0.579, 0.663] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM012733 | PGS002243 (ldpred_t2d) |
PSS009522| European Ancestry| 258,402 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.58 [1.56, 1.6] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012737 | PGS002243 (ldpred_t2d) |
PSS009518| European Ancestry| 110,597 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.55 [1.51, 1.59] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012741 | PGS002243 (ldpred_t2d) |
PSS009514| East Asian Ancestry| 178,726 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.36, 1.39] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012745 | PGS002243 (ldpred_t2d) |
PSS009526| European Ancestry| 69,422 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.64 [1.6, 1.69] | — | — | birth year, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012749 | PGS002243 (ldpred_t2d) |
PSS009534| European Ancestry| 25,696 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012753 | PGS002243 (ldpred_t2d) |
PSS009530| African Ancestry| 1,535 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.24 [1.09, 1.42] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012757 | PGS002243 (ldpred_t2d) |
PSS009542| European Ancestry| 343,676 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.78 [1.75, 1.81] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012762 | PGS002243 (ldpred_t2d) |
PSS009538| African Ancestry| 7,618 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.32, 1.62] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012767 | PGS002243 (ldpred_t2d) |
PSS009546| South Asian Ancestry| 7,628 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.66 [1.55, 1.79] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM021425 | PGS002243 (ldpred_t2d) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.55 [1.52, 1.59] | AUROC: 0.703 [0.698, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021434 | PGS002243 (ldpred_t2d) |
PSS011747| European Ancestry| 245,177 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.78 [1.75, 1.82] | AUROC: 0.737 [0.733, 0.742] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021453 | PGS002243 (ldpred_t2d) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.64 [1.53, 1.77] | C-index: 0.741 [0.723, 0.758] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021462 | PGS002243 (ldpred_t2d) |
PSS011746| European Ancestry| 232,808 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.49 [1.45, 1.52] | C-index: 0.689 [0.683, 0.695] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021476 | PGS002243 (ldpred_t2d) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.2, 1.27] | AUROC: 0.718 [0.712, 0.725] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021503 | PGS002243 (ldpred_t2d) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.43 [1.38, 1.48] | AUROC: 0.76 [0.753, 0.767] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021528 | PGS002243 (ldpred_t2d) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.08 [0.93, 1.26] | AUROC: 0.592 [0.548, 0.635] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021548 | PGS002243 (ldpred_t2d) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.12 [0.95, 1.32] | AUROC: 0.643 [0.6, 0.685] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021569 | PGS002243 (ldpred_t2d) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.32 [1.11, 1.57] | AUROC: 0.669 [0.625, 0.712] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021585 | PGS002243 (ldpred_t2d) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.31 [1.21, 1.42] | AUROC: 0.716 [0.696, 0.735] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021614 | PGS002243 (ldpred_t2d) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.36 [1.08, 1.73] | AUROC: 0.708 [0.65, 0.766] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021631 | PGS002243 (ldpred_t2d) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.57 [1.47, 1.67] | AUROC: 0.718 [0.703, 0.733] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021657 | PGS002243 (ldpred_t2d) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.1 [1.0, 1.22] | C-index: 0.641 [0.614, 0.668] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021679 | PGS002243 (ldpred_t2d) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.15 [0.83, 1.58] | C-index: 0.679 [0.606, 0.752] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021695 | PGS002243 (ldpred_t2d) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.17 [1.08, 1.28] | C-index: 0.609 [0.586, 0.632] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM012834 | PGS002256 (GRS4_GDM) |
PSS009573| East Asian Ancestry| 985 individuals |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Reported Trait: Gestational diabetes mellitus in early pregnancy | — | AUROC: 0.62 [0.573, 0.667] | — | — | — |
| PPM012888 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | — | AUROC: 0.605 [0.587, 0.623] | Positive predictive values (PPV highest quintile): 14.4 [13, 15.9] | — | — |
| PPM012894 | PGS002264 (PRS_Combined) |
PSS009600| Ancestry Not Reported| 206 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) | — | — | Positive predictive values (PPV highest quintile): 0.239 [0.181, 0.303] | — | — |
| PPM012892 | PGS002264 (PRS_Combined) |
PSS009598| Ancestry Not Reported| 10,259 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) | — | AUROC: 0.594 [0.573, 0.614] | Positive predictive values (PPV highest quintile): 0.119 [0.105, 0.134] | — | — |
| PPM012895 | PGS002264 (PRS_Combined) |
PSS009600| Ancestry Not Reported| 206 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) | OR: 1.873 [1.53, 2.292] | — | — | principal components (PC 1-10) | — |
| PPM012896 | PGS002264 (PRS_Combined) |
PSS009601| Ancestry Not Reported| 998 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) | — | — | Positive predictive values (PPV highest quintile): 0.867 [0.732, 0.949] | — | — |
| PPM012897 | PGS002264 (PRS_Combined) |
PSS009601| Ancestry Not Reported| 998 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) | OR: 1.885 [1.279, 2.778] | — | — | principal components (PC 1-10) | — |
| PPM012898 | PGS002264 (PRS_Combined) |
PSS009596| Ancestry Not Reported| 1,203 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) | OR: 1.674 [1.443, 1.942] | — | — | principal components (PC 1-10) | — |
| PPM012899 | PGS002264 (PRS_Combined) |
PSS009596| Ancestry Not Reported| 1,203 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) | — | AUROC: 0.645 | — | — | — |
| PPM012900 | PGS002264 (PRS_Combined) |
PSS009597| Ancestry Not Reported| 242 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (< 60 years) | OR: 1.633 [1.292, 2.064] | — | — | principal components (PC 1-10) | — |
| PPM012901 | PGS002264 (PRS_Combined) |
PSS009599| Ancestry Not Reported| 274 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (60 years) | OR: 1.538 [1.287, 1.837] | — | — | principal components (PC 1-10) | — |
| PPM012893 | PGS002264 (PRS_Combined) |
PSS009598| Ancestry Not Reported| 10,259 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) | OR: 1.386 [1.288, 1.492] | — | — | principal components (PC 1-10) | — |
| PPM012889 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | — | — | HR (highest vs lowest quintile): 2.738 [2.227, 3.365] | Smoking (never, current and previous), waist circumference (cm), DM onset (No DM, NODM, LSDM) and first-degree family history of digestive cancer (yes/no) | — |
| PPM012890 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | — | AUROC: 0.83 [0.8, 0.86] | — | Age of participants at recruitment, age when DM diagnosed, DM onset (No DM, NODM, LSDM), waist circumference (cm), and first-degree family history of digestive cancer (yes/no)., clinical risk | — |
| PPM012891 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | OR: 1.43 | — | — | principal components (PC 1-10) | — |
| PPM012948 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (normal BMI) | β: 37.31 (16.7) | — | R²: 0.012 | — | — |
| PPM012947 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis | — | — | Z: 5.2 | — | Z-score p-value < 0.0001 |
| PPM012949 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (overweight BMI) | β: 32.68 (20.7) | — | R²: 0.0097 | — | — |
| PPM012950 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (obese BMI) | β: 18.9 (10.76) | — | R²: 0.0036 | — | — |
| PPM013067 | PGS002308 (PRScsx_T2D) |
PSS009671| African Ancestry| 6,745 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.7 [1.58, 1.84] | AUROC: 0.631 | R²: 0.046 | age, sex, top 10 PCs | — |
| PPM013064 | PGS002308 (PRScsx_T2D) |
PSS009677| European Ancestry| 54,793 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.96 [1.91, 2.02] | AUROC: 0.793 | R²: 0.092 | age, sex, top 10 PCs, study site | — |
| PPM013065 | PGS002308 (PRScsx_T2D) |
PSS009676| African Ancestry| 12,472 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.54 [1.46, 1.64] | AUROC: 0.848 | R²: 0.028 | age, sex, top 10 PCs, study site | — |
| PPM013066 | PGS002308 (PRScsx_T2D) |
PSS009678| Hispanic or Latin American Ancestry| 2,374 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.08 [1.84, 2.35] | AUROC: 0.851 | R²: 0.08 | age, sex, top 10 PCs, study site | — |
| PPM013068 | PGS002308 (PRScsx_T2D) |
PSS009669| African Ancestry| 5,498 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.85 [1.7, 2.01] | AUROC: 0.633 | R²: 0.036 | age, sex, top 10 PCs | — |
| PPM013069 | PGS002308 (PRScsx_T2D) |
PSS009670| African Ancestry| 1,896 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.75 [1.52, 2.02] | AUROC: 0.757 | R²: 0.062 | age, sex, top 10 PCs | — |
| PPM013070 | PGS002308 (PRScsx_T2D) |
PSS009675| African Ancestry| 655 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.13, 1.65] | AUROC: 0.631 | R²: 0.015 | age, sex, top 10 PCs | — |
| PPM013071 | PGS002308 (PRScsx_T2D) |
PSS009672| East Asian Ancestry| 25,110 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.19 [2.05, 2.33] | AUROC: 0.81 | R²: 0.151 | age, sex, top 10 PCs | — |
| PPM013072 | PGS002308 (PRScsx_T2D) |
PSS009673| East Asian Ancestry| 54,078 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.01 [1.93, 2.1] | AUROC: 0.781 | R²: 0.129 | age, sex, top 10 PCs | — |
| PPM013073 | PGS002308 (PRScsx_T2D) |
PSS009674| East Asian Ancestry| 10,378 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.16 [1.96, 2.38] | AUROC: 0.802 | R²: 0.153 | age, sex, top 10 PCs | — |
| PPM013086 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013135 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.006 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013184 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0159 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013233 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.028 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013089 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013138 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0029 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013187 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0101 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013236 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0219 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013119 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013168 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013217 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0135 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013266 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0218 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013291 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013314 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0148 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013360 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0091 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013337 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0026 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013374 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013423 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0017 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013472 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013521 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013377 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013426 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013475 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013524 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013407 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013505 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013554 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013456 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0032 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013570 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013619 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0056 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013717 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013668 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013622 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0026 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013671 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013720 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013573 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013603 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013652 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0041 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013701 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013750 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013766 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013815 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013864 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013913 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013769 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013867 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013916 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013818 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0026 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013799 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013848 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0033 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013897 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013946 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013962 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014011 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014060 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014109 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013965 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014014 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014063 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014112 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014093 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013995 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014044 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014142 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014305 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014158 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014207 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014256 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014161 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014210 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014308 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014259 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014191 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014240 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014289 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014338 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014354 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014403 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0097 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014452 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0136 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014501 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0339 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014357 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014455 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0105 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014504 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0244 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014406 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0029 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014387 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014436 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0072 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014485 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0128 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014534 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0251 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM021424 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.55 [1.52, 1.59] | AUROC: 0.704 [0.699, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021450 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.67 [1.56, 1.8] | C-index: 0.742 [0.724, 0.759] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021480 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.22 [1.19, 1.26] | AUROC: 0.718 [0.711, 0.724] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021502 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.44 [1.39, 1.49] | AUROC: 0.761 [0.754, 0.768] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021530 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.98 [0.84, 1.14] | AUROC: 0.585 [0.541, 0.629] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021552 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 0.96 [0.81, 1.13] | AUROC: 0.641 [0.598, 0.684] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021573 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.05 [0.89, 1.24] | AUROC: 0.655 [0.611, 0.698] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021593 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.23 [1.14, 1.33] | AUROC: 0.711 [0.692, 0.73] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021604 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.73 [1.35, 2.21] | AUROC: 0.737 [0.68, 0.793] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021627 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.61 [1.51, 1.72] | AUROC: 0.721 [0.706, 0.736] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021671 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.37 [0.99, 1.89] | C-index: 0.688 [0.612, 0.764] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021691 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.24 [1.13, 1.35] | C-index: 0.612 [0.589, 0.636] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021646 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.13 [1.02, 1.24] | C-index: 0.642 [0.615, 0.67] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM014599 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014648 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0145 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014697 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0281 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014550 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0057 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014602 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014553 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0046 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014651 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0094 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014700 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0221 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014583 | PGS002720 (disease_T2D.SBayesR) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.006 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014632 | PGS002720 (disease_T2D.SBayesR) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0021 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014681 | PGS002720 (disease_T2D.SBayesR) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0129 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014730 | PGS002720 (disease_T2D.SBayesR) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0207 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014821 | PGS002733 (GRS17_T2D) |
PSS009902| European Ancestry| 600 individuals |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Reported Trait: Early-onset type 2 diabetes | OR: 1.09 [1.01, 1.18] | — | — | — | — |
| PPM014822 | PGS002733 (GRS17_T2D) |
PSS009902| European Ancestry| 600 individuals |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Reported Trait: Early-onset type 2 diabetes in rare variant carriers | OR: 1.45 [1.15, 1.57] | — | — | — | — |
| PPM014823 | PGS002733 (GRS17_T2D) |
PSS009902| European Ancestry| 600 individuals |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Reported Trait: Early-onset type 2 diabetes in rare variant non-carriers | OR: 1.06 [1.01, 1.13] | — | — | — | — |
| PPM014844 | PGS002740 (PRS22_PC) |
PSS009913| European Ancestry| 13,952 individuals |
PGP000347 | Yuan C et al. Ann Oncol (2022) |
Reported Trait: Pancreatic cancer in those aged <= 60 years | — | — | Odds ratio (OR, top vs bottom 10%): 6.91 [4.6, 10.4] | — | — |
| PPM014843 | PGS002740 (PRS22_PC) |
PSS009913| European Ancestry| 13,952 individuals |
PGP000347 | Yuan C et al. Ann Oncol (2022) |
Reported Trait: Pancreatic cancer in those aged >70 years | — | — | Odds ratio (OR, top vs bottom 10%): 4.12 [3.08, 5.52] | — | — |
| PPM014971 | PGS002771 (Type_2_diabetes_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | OR: 1.88 [1.82, 1.95] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM021411 | PGS002771 (Type_2_diabetes_prscs) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.89 [1.85, 1.94] | AUROC: 0.735 [0.73, 0.74] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021439 | PGS002771 (Type_2_diabetes_prscs) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 2.03 [1.88, 2.18] | C-index: 0.772 [0.756, 0.788] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021468 | PGS002771 (Type_2_diabetes_prscs) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.33 [1.3, 1.37] | AUROC: 0.724 [0.717, 0.73] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021493 | PGS002771 (Type_2_diabetes_prscs) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.7 [1.64, 1.76] | AUROC: 0.775 [0.769, 0.782] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021514 | PGS002771 (Type_2_diabetes_prscs) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.4 [1.2, 1.64] | AUROC: 0.634 [0.592, 0.676] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021533 | PGS002771 (Type_2_diabetes_prscs) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.57 [1.32, 1.87] | AUROC: 0.682 [0.642, 0.723] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021560 | PGS002771 (Type_2_diabetes_prscs) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.62 [1.36, 1.95] | AUROC: 0.696 [0.654, 0.738] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021577 | PGS002771 (Type_2_diabetes_prscs) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.41 [1.3, 1.53] | AUROC: 0.724 [0.705, 0.743] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021641 | PGS002771 (Type_2_diabetes_prscs) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.18 [1.07, 1.31] | C-index: 0.645 [0.618, 0.672] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021607 | PGS002771 (Type_2_diabetes_prscs) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.64 [1.27, 2.12] | AUROC: 0.728 [0.673, 0.783] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021622 | PGS002771 (Type_2_diabetes_prscs) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.85 [1.73, 1.99] | AUROC: 0.742 [0.728, 0.757] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021662 | PGS002771 (Type_2_diabetes_prscs) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.61 [1.14, 2.27] | C-index: 0.697 [0.619, 0.775] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021684 | PGS002771 (Type_2_diabetes_prscs) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.35 [1.24, 1.48] | C-index: 0.63 [0.607, 0.652] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM014979 | PGS002779 (GTG_T2D_maxCT) |
PSS009943| European Ancestry| 5,472 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.35 [1.25, 1.45] | AUROC: 0.585 [0.564, 0.605] | — | — | — |
| PPM014980 | PGS002780 (GTG_T2D_SCT) |
PSS009943| European Ancestry| 5,472 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.41 [1.31, 1.51] | AUROC: 0.595 [0.575, 0.615] | — | — | — |
| PPM021452 | PGS002780 (GTG_T2D_SCT) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.65 [1.53, 1.77] | C-index: 0.742 [0.725, 0.759] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021486 | PGS002780 (GTG_T2D_SCT) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.18 [1.14, 1.21] | AUROC: 0.715 [0.709, 0.722] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021508 | PGS002780 (GTG_T2D_SCT) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.35 [1.31, 1.4] | AUROC: 0.756 [0.749, 0.763] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021526 | PGS002780 (GTG_T2D_SCT) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.14 [0.98, 1.33] | AUROC: 0.598 [0.556, 0.641] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021539 | PGS002780 (GTG_T2D_SCT) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.43 [1.21, 1.69] | AUROC: 0.666 [0.624, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021570 | PGS002780 (GTG_T2D_SCT) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.27 [1.07, 1.5] | AUROC: 0.668 [0.625, 0.711] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021595 | PGS002780 (GTG_T2D_SCT) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.17 [1.09, 1.27] | AUROC: 0.708 [0.689, 0.727] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021610 | PGS002780 (GTG_T2D_SCT) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.44 [1.13, 1.83] | AUROC: 0.712 [0.655, 0.769] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021634 | PGS002780 (GTG_T2D_SCT) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.53 [1.43, 1.63] | AUROC: 0.713 [0.698, 0.729] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021652 | PGS002780 (GTG_T2D_SCT) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.12 [1.01, 1.23] | C-index: 0.644 [0.617, 0.671] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021672 | PGS002780 (GTG_T2D_SCT) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.31 [0.95, 1.81] | C-index: 0.683 [0.61, 0.755] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021700 | PGS002780 (GTG_T2D_SCT) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.12 [1.03, 1.22] | C-index: 0.603 [0.58, 0.626] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021430 | PGS002780 (GTG_T2D_SCT) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.42, 1.49] | AUROC: 0.694 [0.689, 0.699] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM015993 | PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.524 [1.468, 1.583] β: 0.422 (0.0191) |
AUROC: 0.616 [0.6, 0.63] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015996 | PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.425 [1.373, 1.479] β: 0.354 (0.0191) |
AUROC: 0.599 [0.582, 0.615] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015994 | PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.379 [1.329, 1.431] β: 0.321 (0.0189) |
AUROC: 0.591 [0.574, 0.606] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015992 | PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.275 [1.23, 1.321] β: 0.243 (0.0184) |
AUROC: 0.563 [0.546, 0.58] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015995 | PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.6 [1.539, 1.664] β: 0.47 (0.0199) |
AUROC: 0.625 [0.608, 0.639] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015999 | PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.333 [1.286, 1.382] β: 0.287 (0.0184) |
AUROC: 0.589 [0.572, 0.604] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016005 | PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.239 [1.196, 1.284] β: 0.214 (0.0181) |
AUROC: 0.562 [0.546, 0.578] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016001 | PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.232 [1.189, 1.277] β: 0.209 (0.0181) |
AUROC: 0.56 [0.545, 0.576] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015997 | PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.011 [0.976, 1.047] β: 0.011 (0.0181) |
AUROC: 0.5 [0.484, 0.517] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016003 | PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.358 [1.31, 1.408] β: 0.306 (0.0183) |
AUROC: 0.593 [0.577, 0.608] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016009 | PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.657 [1.595, 1.722] β: 0.505 (0.0196) |
AUROC: 0.626 [0.609, 0.641] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016015 | PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.531 [1.474, 1.591] β: 0.426 (0.0193) |
AUROC: 0.6 [0.585, 0.616] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016011 | PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.531 [1.474, 1.591] β: 0.426 (0.0193) |
AUROC: 0.6 [0.585, 0.616] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016007 | PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.639 [1.577, 1.703] β: 0.494 (0.0196) |
AUROC: 0.628 [0.611, 0.643] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016013 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.704 [1.639, 1.772] β: 0.533 (0.0198) |
AUROC: 0.637 [0.621, 0.653] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM021726 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Type 2 diabetes mellitus | OR: 1.93 [1.8, 2.07] | AUROC: 0.75 | — | — | — |
| PPM021417 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.77 [1.74, 1.81] | AUROC: 0.725 [0.72, 0.729] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021445 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.89 [1.76, 2.04] | C-index: 0.759 [0.743, 0.775] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021494 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.61 [1.55, 1.67] | AUROC: 0.77 [0.764, 0.777] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021520 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.28 [1.1, 1.5] | AUROC: 0.619 [0.578, 0.661] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021543 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.38 [1.17, 1.64] | AUROC: 0.667 [0.626, 0.709] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021557 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.68 [1.4, 2.01] | AUROC: 0.705 [0.664, 0.745] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021581 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.4 [1.29, 1.51] | AUROC: 0.721 [0.702, 0.74] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021606 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.61 [1.26, 2.07] | AUROC: 0.726 [0.67, 0.781] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021623 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.72 [1.6, 1.84] | AUROC: 0.73 [0.715, 0.745] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021655 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.11 [1.01, 1.23] | C-index: 0.643 [0.615, 0.67] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021661 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.66 [1.19, 2.31] | C-index: 0.713 [0.638, 0.787] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021686 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.33 [1.22, 1.45] | C-index: 0.627 [0.605, 0.65] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021472 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.28 [1.25, 1.32] | AUROC: 0.721 [0.714, 0.727] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM016019 | PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.536 [1.479, 1.596] β: 0.429 (0.0195) |
AUROC: 0.611 [0.595, 0.626] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016025 | PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.33 [1.283, 1.379] β: 0.285 (0.0184) |
AUROC: 0.572 [0.555, 0.588] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016021 | PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.33 [1.283, 1.379] β: 0.285 (0.0184) |
AUROC: 0.572 [0.555, 0.588] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016017 | PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.028 [0.992, 1.065] β: 0.0276 (0.0182) |
AUROC: 0.541 [0.523, 0.557] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016023 | PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.563 [1.504, 1.624] β: 0.446 (0.0195) |
AUROC: 0.61 [0.594, 0.625] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016000 | PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.522 [1.491, 1.554] β: 0.42 (0.0106) |
AUROC: 0.616 [0.61, 0.622] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016006 | PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.406 [1.378, 1.435] β: 0.341 (0.0103) |
AUROC: 0.594 [0.588, 0.6] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016002 | PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.392 [1.364, 1.42] β: 0.331 (0.0103) |
AUROC: 0.59 [0.584, 0.596] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015998 | PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.01 [0.989, 1.031] β: 0.00976 (0.0104) |
AUROC: 0.501 [0.495, 0.507] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016004 | PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.522 [1.491, 1.554] β: 0.42 (0.0106) |
AUROC: 0.616 [0.611, 0.622] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016010 | PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.959 [3.866, 4.055] β: 1.38 (0.0121) |
AUROC: 0.825 [0.82, 0.829] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016016 | PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.755 [3.669, 3.844] β: 1.32 (0.0119) |
AUROC: 0.816 [0.811, 0.82] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016012 | PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.755 [3.669, 3.844] β: 1.32 (0.0119) |
AUROC: 0.816 [0.811, 0.82] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016008 | PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.061 [2.992, 3.132] β: 1.12 (0.0116) |
AUROC: 0.778 [0.774, 0.783] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016014 | PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.193 [3.12, 3.268] β: 1.16 (0.0118) |
AUROC: 0.786 [0.782, 0.791] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016020 | PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.662 [1.628, 1.698] β: 0.508 (0.0107) |
AUROC: 0.639 [0.634, 0.645] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016026 | PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.451 [1.421, 1.48] β: 0.372 (0.0104) |
AUROC: 0.603 [0.597, 0.609] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016022 | PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.451 [1.421, 1.48] β: 0.372 (0.0104) |
AUROC: 0.603 [0.597, 0.609] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016018 | PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.009 [0.988, 1.03] β: 0.00858 (0.0105) |
AUROC: 0.547 [0.541, 0.552] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016024 | PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.715 [1.679, 1.752] β: 0.539 (0.0107) |
AUROC: 0.648 [0.642, 0.654] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016201 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Fasting plasma glucose | OR: 1.83 [1.59, 2.11] | — | — | — | — |
| PPM016202 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Hemoglobin A1c level | OR: 1.68 [1.46, 1.93] | — | — | — | — |
| PPM016203 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Type 2 diabetes | OR: 2.99 [2.61, 3.44] | — | — | — | — |
| PPM016204 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Fasting plasma glucose and Type 2 diabetes | OR: 3.52 [2.69, 4.61] | — | — | — | — |
| PPM017036 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x BMI interaction | β: 89.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017037 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x Born in South Asia interaction | β: 84.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017038 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x Low diet quality interaction (only in START cohort) | β: 0.141 [0.053, 0.228] | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017039 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: AUC glucose x BMI interaction | β: 77.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017040 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: GDM (IADPSG criteria) x BMI interaction | OR: 0.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017032 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose | β: 0.085 [0.067, 0.103] | — | — | first five principal components (PCs) | — |
| PPM017033 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: 2h postload glucose | β: 0.207 [0.157, 0.257] | — | — | first five principal components (PCs) | — |
| PPM017034 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: AUC glucose | β: 0.155 [0.125, 0.184] | — | — | first five principal components (PCs) | — |
| PPM017035 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: GDM (IADPSG criteria) | OR: 1.45 [1.32, 1.6] | — | — | first five principal components (PCs) | — |
| PPM017182 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS010157| Hispanic or Latin American Ancestry| 1,484 individuals |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Reported Trait: type 2 diabetes | OR: 1.9 [1.65, 2.19] | AUROC: 0.7475 | R²: 0.207 | sex, age, PCs(1-10), PRScsx_T2D_LAT_EASweights, PRScsx_T2D_LAT_LATweights | NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply |
| PPM021469 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.28, 1.36] | AUROC: 0.723 [0.717, 0.729] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021510 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.51 [1.29, 1.77] | AUROC: 0.648 [0.607, 0.688] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021554 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.71 [1.43, 2.06] | AUROC: 0.706 [0.665, 0.746] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021599 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.8 [1.4, 2.32] | AUROC: 0.738 [0.684, 0.791] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021664 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.57 [1.12, 2.21] | C-index: 0.689 [0.612, 0.765] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021412 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.86 [1.82, 1.9] | AUROC: 0.731 [0.726, 0.736] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021440 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.98 [1.84, 2.13] | C-index: 0.77 [0.754, 0.786] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021488 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.77 [1.71, 1.84] | AUROC: 0.78 [0.773, 0.786] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021540 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.43 [1.21, 1.7] | AUROC: 0.667 [0.626, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021578 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.4 [1.3, 1.52] | AUROC: 0.723 [0.705, 0.742] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021618 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.91 [1.78, 2.05] | AUROC: 0.746 [0.732, 0.761] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021648 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.13 [1.02, 1.24] | C-index: 0.642 [0.616, 0.669] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021681 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.42 [1.3, 1.55] | C-index: 0.639 [0.617, 0.662] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM017183 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS010157| Hispanic or Latin American Ancestry| 1,484 individuals |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Reported Trait: type 2 diabetes | OR: 1.9 [1.65, 2.19] | AUROC: 0.7475 | R²: 0.207 | sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_LATweights | NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply |
| PPM021413 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.86 [1.82, 1.9] | AUROC: 0.731 [0.726, 0.736] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021441 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.98 [1.84, 2.13] | C-index: 0.77 [0.754, 0.786] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021470 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.28, 1.36] | AUROC: 0.723 [0.717, 0.729] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021489 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.77 [1.71, 1.84] | AUROC: 0.78 [0.773, 0.786] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021511 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.51 [1.29, 1.77] | AUROC: 0.648 [0.607, 0.688] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021541 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.43 [1.21, 1.7] | AUROC: 0.667 [0.626, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021555 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.71 [1.43, 2.06] | AUROC: 0.706 [0.665, 0.746] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021579 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.4 [1.3, 1.52] | AUROC: 0.723 [0.705, 0.742] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021619 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.91 [1.78, 2.05] | AUROC: 0.746 [0.732, 0.761] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021649 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.13 [1.02, 1.24] | C-index: 0.642 [0.616, 0.669] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021665 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.57 [1.12, 2.21] | C-index: 0.689 [0.612, 0.765] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021682 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.42 [1.3, 1.55] | C-index: 0.639 [0.617, 0.662] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021600 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.8 [1.4, 2.32] | AUROC: 0.738 [0.684, 0.791] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM017184 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS010157| Hispanic or Latin American Ancestry| 1,484 individuals |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Reported Trait: type 2 diabetes | OR: 1.9 [1.65, 2.19] | AUROC: 0.7475 | R²: 0.207 | sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_EASweights | NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply |
| PPM021414 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.86 [1.82, 1.9] | AUROC: 0.731 [0.726, 0.736] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021442 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.98 [1.84, 2.13] | C-index: 0.77 [0.754, 0.786] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021471 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.28, 1.36] | AUROC: 0.723 [0.717, 0.729] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021490 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.77 [1.71, 1.84] | AUROC: 0.78 [0.773, 0.786] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021512 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.51 [1.29, 1.77] | AUROC: 0.648 [0.607, 0.688] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021542 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.43 [1.21, 1.7] | AUROC: 0.667 [0.626, 0.708] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021556 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.71 [1.43, 2.06] | AUROC: 0.706 [0.665, 0.746] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021580 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.4 [1.3, 1.52] | AUROC: 0.723 [0.705, 0.742] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021601 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.8 [1.4, 2.32] | AUROC: 0.738 [0.684, 0.791] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021620 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.91 [1.78, 2.05] | AUROC: 0.746 [0.732, 0.761] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021650 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.13 [1.02, 1.24] | C-index: 0.642 [0.616, 0.669] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021666 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.57 [1.12, 2.21] | C-index: 0.689 [0.612, 0.765] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM021683 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.42 [1.3, 1.55] | C-index: 0.639 [0.617, 0.662] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information |
| PPM018476 | PGS003728 (PS_T2D_183-AGEN) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.28 [1.12, 1.46] | — | Net reclassification improvement: 0.331 [0.141, 0.521] ∆AUC: 0.005 [-0.003, 0.012] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018484 | PGS003728 (PS_T2D_183-AGEN) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.27 [1.15, 1.39] | — | Net reclassification improvement: 0.164 [0.025, 0.303] ∆AUC: 0.037 [0.013, 0.06] |
sex, parental diabetes, and birth weight | — |
| PPM018468 | PGS003728 (PS_T2D_183-AGEN) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.14 [1.06, 1.24] | — | Net reclassification improvement: 0.115 [-0.014, 0.244] ∆AUC: 0.001 [-0.003, 0.005] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018469 | PGS003729 (PS_T2D_293-DIAGRAM) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.27 [1.17, 1.38] | AUROC: 0.735 | Net reclassification improvement: 0.27 [0.149, 0.392] ∆AUC: 0.007 [0.001, 0.014] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018477 | PGS003729 (PS_T2D_293-DIAGRAM) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.49 [1.29, 1.72] | AUROC: 0.812 | Net reclassification improvement: 0.268 [0.072, 0.464] ∆AUC: 0.007 [-0.003, 0.017] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018485 | PGS003729 (PS_T2D_293-DIAGRAM) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.48 [1.35, 1.63] | AUROC: 0.685 | Net reclassification improvement: 0.362 [0.222, 0.502] ∆AUC: 0.072 [0.045, 0.099] |
sex, parental diabetes, and birth weight | — |
| PPM018471 | PGS003730 (PS_T2D_287-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.2 [1.1, 1.3] | — | Net reclassification improvement: 0.216 [0.094, 0.338] ∆AUC: 0.004 [-0.001, 0.009] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018479 | PGS003730 (PS_T2D_287-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.34 [1.17, 1.54] | — | Net reclassification improvement: 0.314 [0.116, 0.512] ∆AUC: 0.004 [-0.001, 0.009] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018487 | PGS003730 (PS_T2D_287-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.45 [1.32, 1.6] | — | Net reclassification improvement: 0.259 [0.115, 0.403] ∆AUC: 0.073 |
sex, parental diabetes, and birth weight | — |
| PPM018475 | PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.19 [1.09, 1.29] | — | Net reclassification improvement: 0.181 [0.054, 0.308] ∆AUC: 0.004 [-0.001, 0.009] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018483 | PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.35 [1.18, 1.56] | — | Net reclassification improvement: 0.302 [0.089, 0.515] ∆AUC: 0.002 [-0.007, 0.012] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018491 | PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.32 [1.2, 1.45] | — | Net reclassification improvement: 0.201 [0.057, 0.306] ∆AUC: 0.054 [0.031, 0.077] |
sex, parental diabetes, and birth weight | — |
| PPM018474 | PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.18 [1.09, 1.29] | — | Net reclassification improvement: 0.219 [0.097, 0.34] ∆AUC: 0.004 [-0.001, 0.008] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018482 | PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.32 [1.15, 1.51] | — | Net reclassification improvement: 0.15 [-0.054, 0.354] ∆AUC: 0.006 [-0.001, 0.014] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018490 | PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.4 [1.28, 1.55] | — | Net reclassification improvement: 0.277 [0.125, 0.428] ∆AUC: 0.072 [0.046, 0.099] |
sex, parental diabetes, and birth weight | — |
| PPM018473 | PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.21 [1.12, 1.32] | — | Net reclassification improvement: 0.277 [0.156, 0.397] ∆AUC: 0.005 [0.0, 0.011] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018481 | PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.37 [1.19, 1.58] | — | Net reclassification improvement: 0.296 [0.09, 0.502] ∆AUC: 0.008 [-0.001, 0.017] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018489 | PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.47 [1.33, 1.62] | — | Net reclassification improvement: 0.328 [0.183, 0.474] ∆AUC: 0.075 [0.048, 0.102] |
sex, parental diabetes, and birth weight | — |
| PPM018472 | PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.13 [1.04, 1.23] | — | Net reclassification improvement: 0.115 [-0.014, 0.244] ∆AUC: 0.001 [-0.002, 0.005] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018480 | PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.19 [1.04, 1.36] | — | Net reclassification improvement: 0.182 [-0.019, 0.383] ∆AUC: 0.001 [-0.004, 0.007] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018488 | PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.33 [1.22, 1.46] | — | Net reclassification improvement: 0.176 [0.029, 0.323] ∆AUC: 0.052 [0.026, 0.077] |
sex, parental diabetes, and birth weight | — |
| PPM018470 | PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.13 [1.04, 1.22] | — | ∆AUC: 0.003 [0.0, 0.007] Net reclassification improvement: 0.181 [0.047, 0.316] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018478 | PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.21 [1.06, 1.38] | — | Net reclassification improvement: 0.185 [-0.017, 0.388] ∆AUC: 0.005 [-0.001, 0.01] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018486 | PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.28 [1.16, 1.41] | — | Net reclassification improvement: 0.231 [0.091, 0.376] ∆AUC: 0.042 [0.019, 0.065] |
sex, parental diabetes, and birth weight | — |
| PPM018498 | PGS003742 (PRS19_PC) |
PSS010993| European Ancestry| 153 individuals |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Reported Trait: Pancreatic cancer | OR: 1.33 [1.13, 1.57] | — | — | — | — |
| PPM018508 | PGS003749 (ModelT1D_under25) |
PSS011001| European Ancestry| 119,273 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes with age of diagnosis under 25 | — | AUROC: 0.797 | Nagelkerke R2: 0.099 | — | — |
| PPM018512 | PGS003749 (ModelT1D_under25) |
PSS011000| European Ancestry| 7,067 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.792 | — | — | — |
| PPM018514 | PGS003749 (ModelT1D_under25) |
PSS010998| European Ancestry| 2,494 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.686 | — | — | — |
| PPM018509 | PGS003750 (ModelT1D) |
PSS010999| European Ancestry| 120,028 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.64 | Nagelkerke R2: 0.014 | — | — |
| PPM018510 | PGS003751 (ModelT2D_over45) |
PSS011003| European Ancestry| 122,144 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 2 diabetes with age of diagnosis over 45 | — | AUROC: 0.596 | Nagelkerke R2: 0.016 | — | — |
| PPM018513 | PGS003751 (ModelT2D_over45) |
PSS011000| European Ancestry| 7,067 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.527 | — | — | — |
| PPM018511 | PGS003752 (ModelT2D) |
PSS011002| European Ancestry| 125,189 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.578 | Nagelkerke R2: 0.014 | — | — |
| PPM018759 | PGS003867 (T2D_PRScs_ARB) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Type 2 diabetes | OR: 1.83 [1.74, 1.92] | AUROC: 0.7384 [0.7194, 0.7574] | — | age, sex, array version, and the first 10 principal components of ancestry | — |
| PPM021415 | PGS003867 (T2D_PRScs_ARB) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.84 [1.8, 1.88] | AUROC: 0.73 [0.725, 0.735] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021443 | PGS003867 (T2D_PRScs_ARB) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.95 [1.81, 2.1] | C-index: 0.766 [0.75, 0.782] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021466 | PGS003867 (T2D_PRScs_ARB) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.33, 1.41] | AUROC: 0.727 [0.72, 0.733] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021492 | PGS003867 (T2D_PRScs_ARB) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.72 [1.65, 1.78] | AUROC: 0.776 [0.769, 0.783] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021513 | PGS003867 (T2D_PRScs_ARB) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.42 [1.22, 1.66] | AUROC: 0.635 [0.594, 0.676] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021535 | PGS003867 (T2D_PRScs_ARB) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.52 [1.29, 1.81] | AUROC: 0.681 [0.641, 0.722] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021559 | PGS003867 (T2D_PRScs_ARB) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Ext.|Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.64 [1.37, 1.98] | AUROC: 0.701 [0.659, 0.742] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM019312 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.50796 β: 0.41076 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019313 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.26658 β: 0.23632 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019314 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.53274 β: 0.42705 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019315 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.40966 β: 0.34335 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019316 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.6067 β: 0.47419 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019311 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.48531 β: 0.39562 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019950 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.95715 β: 0.67149 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019951 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.37817 β: 0.86633 |
AUROC: 0.73 | — | 0 | beta = log(or)/sd_pgs |
| PPM019952 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02806 β: 0.02768 |
AUROC: 0.49 | — | 0 | beta = log(or)/sd_pgs |
| PPM019953 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.35954 β: 0.30715 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019954 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.40714 β: 0.87844 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019353 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.42404 β: 0.3535 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019354 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.43926 β: 0.36413 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019355 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.2647 β: 0.23483 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019356 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.47667 β: 0.38979 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019357 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.36032 β: 0.30772 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019358 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.53698 β: 0.42982 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019995 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.95016 β: 0.66791 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019996 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.41964 β: 0.88362 |
AUROC: 0.73 | — | 0 | beta = log(or)/sd_pgs |
| PPM019997 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02716 β: 0.0268 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019998 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.41112 β: 0.34438 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019999 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32891 β: 0.8454 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019359 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.48322 β: 0.39422 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019360 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.47356 β: 0.38768 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019361 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.25868 β: 0.23007 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019362 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.49153 β: 0.3998 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019364 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.57088 β: 0.45164 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019363 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.34108 β: 0.29348 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019990 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96291 β: 0.67443 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019991 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.44728 β: 0.89498 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019992 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.02458 β: 0.02428 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019993 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42499 β: 0.35417 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019994 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.34601 β: 0.85271 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019329 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.48498 β: 0.3954 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019330 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.50219 β: 0.40693 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019331 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.2876 β: 0.25278 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019332 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.53513 β: 0.42861 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019333 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.39993 β: 0.33642 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019334 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.608 β: 0.47499 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019965 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32281 β: 0.84278 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019966 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.04799 β: 0.71686 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019967 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.00124 β: 0.00124 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019968 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.41811 β: 0.34932 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019969 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.67223 β: 0.98291 |
AUROC: 0.75 | — | 0 | beta = log(or)/sd_pgs |
| PPM019293 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.51531 β: 0.41562 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019294 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.52599 β: 0.42265 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019295 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.29096 β: 0.25538 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019296 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.55991 β: 0.44463 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019297 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.41025 β: 0.34376 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019298 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.6442 β: 0.49725 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019335 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.51227 β: 0.41361 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019337 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.2863 β: 0.25177 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019338 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.5456 β: 0.43541 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019339 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.4232 β: 0.35291 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019340 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.64766 β: 0.49936 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019336 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.53613 β: 0.42927 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019970 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96796 β: 0.677 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019971 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.98877 β: 0.68752 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019972 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.99583 β: -0.00418 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019973 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.34209 β: 0.29422 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019974 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.32027 β: 0.84168 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019341 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.51406 β: 0.41479 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019342 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.54026 β: 0.43195 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019343 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.28668 β: 0.25206 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019344 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.55065 β: 0.43868 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019345 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.42683 β: 0.35546 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019346 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.65089 β: 0.50131 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019975 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.10311 β: 0.74342 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019976 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.14067 β: 0.76112 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019977 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.00042 β: 0.00042 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019979 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.67623 β: 0.98441 |
AUROC: 0.76 | — | 0 | beta = log(or)/sd_pgs |
| PPM019978 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.39887 β: 0.33567 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019347 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.49969 β: 0.40526 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019348 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.49743 β: 0.40375 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019349 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.26384 β: 0.23416 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019350 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.52107 β: 0.41942 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019351 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.37392 β: 0.31767 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019352 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.61184 β: 0.47737 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019985 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.96153 β: 0.67372 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019986 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.44508 β: 0.89408 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019987 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.0158 β: 0.01568 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019988 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42395 β: 0.35343 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019989 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.39116 β: 0.87178 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019980 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.98839 β: 0.68733 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019981 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.45742 β: 0.89911 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019982 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.99231 β: -0.00772 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019983 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.42533 β: 0.3544 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019984 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.43145 β: 0.88849 |
AUROC: 0.75 | — | 0 | beta = log(or)/sd_pgs |
| PPM019299 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.25413 β: 0.22644 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019300 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.2706 β: 0.23949 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019301 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.1856 β: 0.17025 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019302 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.30688 β: 0.26765 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019303 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.25033 β: 0.22341 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019304 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.32877 β: 0.28426 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019940 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.50723 β: 0.41027 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019941 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.76472 β: 0.56799 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019942 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.06976 β: 0.06744 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019943 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.21972 β: 0.19862 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019944 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.8907 β: 0.63695 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019305 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.32208 β: 0.2792 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019306 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.34756 β: 0.29829 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019307 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.21072 β: 0.19122 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019308 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.36428 β: 0.31063 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019309 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.28905 β: 0.2539 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019310 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.41752 β: 0.34891 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019945 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.53997 β: 0.43176 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019946 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.83108 β: 0.6049 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019947 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.10378 β: 0.09874 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019948 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.23285 β: 0.20933 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019949 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.87052 β: 0.62622 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019317 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.48356 β: 0.39444 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019319 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.28557 β: 0.2512 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019320 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.54343 β: 0.43401 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019321 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.4041 β: 0.3394 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019322 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.60963 β: 0.476 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019318 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.50666 β: 0.40989 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019956 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.08691 β: 0.73568 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019957 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 0.97765 β: -0.0226 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019958 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.32037 β: 0.27791 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019959 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.73561 β: 0.55136 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019955 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.62883 β: 0.48786 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019323 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.53171 β: 0.42638 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019324 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.5534 β: 0.44045 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019325 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.29976 β: 0.26218 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019326 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.57552 β: 0.45459 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019327 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.44083 β: 0.36522 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019328 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Type 2 Diabetes | OR: 1.66922 β: 0.51236 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019960 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.35332 β: 0.85583 |
AUROC: 0.72 | — | 0 | beta = log(or)/sd_pgs |
| PPM019961 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.27887 β: 0.82368 |
AUROC: 0.72 | — | 0 | beta = log(or)/sd_pgs |
| PPM019962 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.0051 β: 0.00509 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019963 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 1.43168 β: 0.35885 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019964 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: T1D | OR: 2.88687 β: 1.06017 |
AUROC: 0.77 | — | 0 | beta = log(or)/sd_pgs |
| PPM020104 | PGS004171 (t1d_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020105 | PGS004172 (t1d_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020106 | PGS004173 (t1d_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020107 | PGS004174 (t1d_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020108 | PGS004175 (t1d_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020114 | PGS004181 (t2d_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69418 | — | year of birth, sex | — |
| PPM020115 | PGS004182 (t2d_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69491 | — | year of birth, sex | — |
| PPM020116 | PGS004183 (t2d_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69959 | — | year of birth, sex | — |
| PPM020117 | PGS004184 (t2d_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69539 | — | year of birth, sex | — |
| PPM020118 | PGS004185 (t2d_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69924 | — | year of birth, sex | — |
| PPM020158 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes | HR: 1.5 [1.48, 1.52] | — | — | age, gender, education, Townsend deprivation index, smoking status, alcohol consumption, body mass index, total physical activity, dietary pattern, vitamin D supplement, use of sun/UV protection, PM2.5, hypertension, cardiovascular disease, antihypertensive medications use, cholesterol-lowering medications use, and average outdoor light time | — |
| PPM020159 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes with outdoor light time in summer | — | — | Hazard ratio (HR, outdoor light time in summer >3h/day and PRS in top tertile vs. outdoor light time in summer <2-3 h/day and PRS in bottom tertile): 2.53 [2.39, 2.69] | Hb1Ac concentrations at baseline | — |
| PPM020160 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes with outdoor light time in winter | — | — | Hazard ratio (HR, outdoor light time in winter >2 h/day and PRS in top tertile vs. outdoor light time in winter <1-2 h/day and PRS in bottom tertile): 2.56 [2.42, 2.71] | Hb1Ac concentrations at baseline | — |
| PPM020161 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes with outdoor light time on average | — | — | Hazard ratio (HR, outdoor light time on average >2.5 h/day and PRS in top tertile vs. outdoor light time on average 1.5-2.5 h/day and PRS in bottom tertile): 2.52 [2.37, 2.67] | Hb1Ac concentrations at baseline | — |
| PPM020217 | PGS004225 (PRS46_T2DEastAsia) |
PSS011306| East Asian Ancestry| 5,024 individuals |
PGP000526 | Liu J et al. Nutrients (2023) |
Reported Trait: Type 2 diabetes with lifestyle group | — | — | Hazard ratio (HR, poor lifestyle and high PRS vs. ideal lifestyle and low PRS): 3.93 [2.07, 7.44] | — | — |
| PPM020215 | PGS004225 (PRS46_T2DEastAsia) |
PSS011306| East Asian Ancestry| 5,024 individuals |
PGP000526 | Liu J et al. Nutrients (2023) |
Reported Trait: Type 2 diabetes | — | — | Hazard ratio (HR, high vs low quintile): 2.06 [1.42, 2.97] | age, gender, SBP, DBP, FBG, TC, TG, HDLC, and diabetes family history | — |
| PPM020216 | PGS004226 (PRS50_T2DEur) |
PSS011306| East Asian Ancestry| 5,024 individuals |
PGP000526 | Liu J et al. Nutrients (2023) |
Reported Trait: Type 2 diabetes | — | — | Hazard ratio (HR, high vs low quintile): 1.69 [1.17, 2.44] | age, gender, SBP, DBP, FBG, TC, TG, HDLC, and diabetes family history | — |
| PPM020307 | PGS004250 (PRS19_pancreas) |
PSS011328| European Ancestry| 133,830 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Pancreatic cancer | HR: 1.37 [1.16, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020314 | PGS004250 (PRS19_pancreas) |
PSS011329| European Ancestry| 115,207 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Pancreatic cancer | HR: 1.39 [1.2, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020378 | PGS004310 (GenoBoost_type_2_diabetes_0) |
PSS011343| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.70295 | Covariate-adjusted pseudo-R2: 0.03816 AUPRC: 0.70295 |
age, sex, PC1-10 | — |
| PPM020379 | PGS004311 (GenoBoost_type_2_diabetes_1) |
PSS011343| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.70067 | Covariate-adjusted pseudo-R2: 0.03626 AUPRC: 0.70067 |
age, sex, PC1-10 | — |
| PPM020380 | PGS004312 (GenoBoost_type_2_diabetes_2) |
PSS011343| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7011 | Covariate-adjusted pseudo-R2: 0.03779 AUPRC: 0.7011 |
age, sex, PC1-10 | — |
| PPM020381 | PGS004313 (GenoBoost_type_2_diabetes_3) |
PSS011343| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.70228 | Covariate-adjusted pseudo-R2: 0.03838 AUPRC: 0.70228 |
age, sex, PC1-10 | — |
| PPM020382 | PGS004314 (GenoBoost_type_2_diabetes_4) |
PSS011343| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.70378 | Covariate-adjusted pseudo-R2: 0.03925 AUPRC: 0.70378 |
age, sex, PC1-10 | — |
| PPM020433 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: Fasting plasma glucose | β: 0.292 [0.181, 0.404] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020434 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: HOMA-beta | β: -0.143 [-0.212, -0.073] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020435 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: Impaired fasting glucose | β: 1.809 [1.362, 2.402] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020436 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: Type 2 diabetes | β: 2.263 [1.72, 2.977] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020614 | PGS004499 (disease.T2D.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Type 2 diabetes (T2D) | OR: 1.51252 | — | — | — | — |
| PPM020684 | PGS004569 (meta.T2D.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Type 2 diabetes (T2D) | OR: 1.63182 | — | — | — | — |
| PPM020759 | PGS004602 (PRS424_T2D) |
PSS011395| European Ancestry| 357,419 individuals |
PGP000580 | Zhuang P et al. Diabetes Care (2021) |
Reported Trait: Type 2 diabetes | HR: 1.54 [1.5, 1.58] β: 0.431 (0.014) |
— | — | Age, sex, center, BMI, education, Townsend deprivation index, household income, smoking, alcohol consumption, physical activity, history of hypertension, history of high cholesterol, vitamin supplement use, mineral supplement use, aspirin use, and lipid-lowering medication | — |
| PPM020760 | PGS004602 (PRS424_T2D) |
PSS011395| European Ancestry| 357,419 individuals |
PGP000580 | Zhuang P et al. Diabetes Care (2021) |
Reported Trait: HbA1c | β: 0.544 (0.007) | — | — | Age, sex, center, BMI, education, Townsend deprivation index, household income, smoking, alcohol consumption, physical activity, history of hypertension, history of high cholesterol, vitamin supplement use, mineral supplement use, aspirin use, and lipid-lowering medication | — |
| PPM020779 | PGS004602 (PRS424_T2D) |
PSS011407| Multi-ancestry (including European)| 59,325 individuals |
PGP000587 | Luo M et al. Br J Sports Med (2023) |Ext. |
Reported Trait: Incident type 2 diabetes | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.43 [2.04, 2.9] | Age as the underlying timescale, gender, genotyping array, the first 10 principal components of ancestry, ethnicity, educational attainment, household income, Townsend deprivation index, employment status, assessment center, moking status, alcohol consumption, healthy diet score, hypertension, dyslipidemia, depression, total wear time, seasonality, and total volume of physical activity | — |
| PPM021336 | PGS004602 (PRS424_T2D) |
PSS011692| European Ancestry| 433,150 individuals |
PGP000634 | Chen JX et al. J Clin Endocrinol Metab (2023) |Ext. |
Reported Trait: Age at onset of type 2 diabetes ≤ 50 years | HR: 1.26 [1.13, 1.41] | — | — | Sex, ethnicity, education, Townsend deprivation index, 4 age groups, follow-up time category, HbA1c, BMI, systolic blood pressure, smoking status, physical activity, diet, use of antihypertensive drugs, use of lipid-lowering drugs, cardiovascular disease, parental history of diabetes | — |
| PPM020793 | PGS004615 (PGS_weights_TMM_All_of_1group) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.639 | liability R2 (nested model): 0.081 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020794 | PGS004615 (PGS_weights_TMM_All_of_1group) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.679 | liability R2 (nested model): 0.114 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020792 | PGS004615 (PGS_weights_TMM_All_of_1group) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.657 | liability R2 (nested model): 0.097 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020795 | PGS004616 (PGS_weights_TMM_HighBMI_of_2groups) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.617 | liability R2 (nested model): 0.048 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020796 | PGS004616 (PGS_weights_TMM_HighBMI_of_2groups) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.653 | liability R2 (nested model): 0.065 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020797 | PGS004617 (PGS_weights_TMM_LowBMI_of_2groups) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.632 | liability R2 (nested model): 0.06 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020798 | PGS004617 (PGS_weights_TMM_LowBMI_of_2groups) |
PSS011417| East Asian Ancestry| 26,000 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.67 | liability R2 (nested model): 0.09 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020799 | PGS004618 (PGS_weights_BBJ2nd_All_of_1group) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.661 | liability R2 (nested model): 0.125 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020800 | PGS004618 (PGS_weights_BBJ2nd_All_of_1group) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.649 | liability R2 (nested model): 0.093 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020801 | PGS004618 (PGS_weights_BBJ2nd_All_of_1group) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.693 | liability R2 (nested model): 0.154 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020802 | PGS004619 (PGS_weights_BBJ2nd_HighBMI_of_2groups) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.625 | liability R2 (nested model): 0.057 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020803 | PGS004619 (PGS_weights_BBJ2nd_HighBMI_of_2groups) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.659 | liability R2 (nested model): 0.094 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020804 | PGS004620 (PGS_weights_BBJ2nd_LowBMI_of_2groups) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.636 | liability R2 (nested model): 0.081 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020805 | PGS004620 (PGS_weights_BBJ2nd_LowBMI_of_2groups) |
PSS011416| East Asian Ancestry| 33,096 individuals |
PGP000593 | Ojima T et al. Nat Genet (2024) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.682 | liability R2 (nested model): 0.143 | age, age2, sex, sex × age, sex × age2 and the top 20 principal components | — |
| PPM020878 | PGS004693 (pancreatic_cancer) |
PSS011437| European Ancestry| 40,877 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Pancreatic cancer | — | AUROC: 0.5426 | — | — | — |
| PPM021062 | PGS004837 (t2d_PRSmix_eur) |
PSS011507| European Ancestry| 7,879 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.099 [0.087, 0.112] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021063 | PGS004838 (t2d_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.061 [0.051, 0.07] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021064 | PGS004839 (t2d_PRSmixPlus_eur) |
PSS011507| European Ancestry| 7,879 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.129 [0.115, 0.143] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021065 | PGS004840 (t2d_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.065 [0.055, 0.075] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021085 | PGS004859 (T2D_PRS_CS) |
PSS011514| African Ancestry| 7,010 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.43 [1.35, 1.52] | AUROC: 0.76 [0.74, 0.77] | — | age, sex, 10 principal components | — |
| PPM021086 | PGS004859 (T2D_PRS_CS) |
PSS011516| Hispanic or Latin American Ancestry| 5,382 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 2.09 [1.92, 2.27] | AUROC: 0.84 [0.82, 0.86] | — | age, sex, 10 principal components | — |
| PPM021087 | PGS004859 (T2D_PRS_CS) |
PSS011517| East Asian Ancestry| 663 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.8 [1.4, 2.32] | AUROC: 0.84 [0.79, 0.9] | — | age, sex, 10 principal components | — |
| PPM021088 | PGS004859 (T2D_PRS_CS) |
PSS011518| European Ancestry| 22,306 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 2.33 [2.23, 2.43] | AUROC: 0.77 [0.76, 0.78] | — | age, sex, 10 principal components | — |
| PPM021089 | PGS004859 (T2D_PRS_CS) |
PSS011519| South Asian Ancestry| 323 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 2.28 [1.64, 3.16] | AUROC: 0.88 [0.81, 0.95] | — | age, sex, 10 principal components | — |
| PPM021090 | PGS004859 (T2D_PRS_CS) |
PSS011515| Multi-ancestry (including European)| 35,684 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.93 [1.87, 1.99] | AUROC: 0.75 [0.74, 0.75] | — | age, sex, 10 principal components | — |
| PPM021084 | PGS004859 (T2D_PRS_CS) |
PSS011513| Multi-ancestry (including European)| 546 individuals |
PGP000605 | Deutsch AJ et al. Diabetes Care (2023) |
Reported Trait: Glucocorticoid-induced hyperglycemia | OR: 1.44 [1.02, 2.04] | AUROC: 0.68 | — | eGFR, glucocorticoid dose | — |
| PPM021133 | PGS004868 (T2DPGS) |
PSS011537| European Ancestry| 345,217 individuals |
PGP000617 | Yun JS et al. Cardiovasc Diabetol (2022) |
Reported Trait: Incident cardiovascular disease | HR: 1.06 [1.04, 1.07] | — | Hazard ratio (HR, top PRS percentile vs bottom quintile): 1.35 [1.19, 1.53] | Age, sex, genotyping array, 10 PCs | — |
| PPM021142 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011650| European Ancestry| 38,343 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.42 [1.38, 1.45] | C-index: 0.61 [0.6, 0.62] | — | PCs 1-10 | — |
| PPM021143 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011649| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.86 [1.79, 1.93] | C-index: 0.69 [0.68, 0.7] | — | PCs 1-10 | — |
| PPM021144 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011648| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.87 [1.79, 1.95] | C-index: 0.68 [0.67, 0.69] | — | PCs 1-10 | — |
| PPM021145 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011646| European Ancestry| 44,183 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.56 [1.51, 1.6] | — | — | PCs 1-10 | — |
| PPM021146 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011647| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.68 [1.55, 1.83] | C-index: 0.64 [0.62, 0.67] | — | PCs 1-10 | — |
| PPM021147 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011645| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.7 [1.69, 1.71] | C-index: 0.66 [0.66, 0.66] | — | PCs 1-10 | — |
| PPM021148 | PGS004870 (INTERVENE_MegaPRS_T2D) |
PSS011644| European Ancestry| 148,312 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T2D | HR: 1.78 [1.74, 1.82] | C-index: 0.67 [0.66, 0.67] | — | PCs 1-10 | — |
| PPM021179 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011637| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.37 [2.31, 2.44] | C-index: 0.77 [0.77, 0.78] | — | PCs 1-10 | — |
| PPM021173 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011643| European Ancestry| 447,332 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.11 [1.98, 2.24] | — | — | PCs 1-10 | — |
| PPM021174 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011642| European Ancestry| 32,779 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.41 [1.17, 1.69] | C-index: 0.69 [0.64, 0.74] | — | PCs 1-10 | — |
| PPM021175 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011641| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.43 [1.28, 1.59] | C-index: 0.64 [0.61, 0.67] | — | PCs 1-10 | — |
| PPM021176 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011640| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 2.09 [1.91, 2.29] | C-index: 0.75 [0.72, 0.78] | — | PCs 1-10 | — |
| PPM021177 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011638| European Ancestry| 44,187 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.05 [0.95, 1.15] | — | — | PCs 1-10 | — |
| PPM021178 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011639| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.56 [1.14, 2.12] | C-index: 0.73 [0.67, 0.78] | — | PCs 1-10 | — |
| PPM021180 | PGS004874 (INTERVENE_MegaPRS_T1D) |
PSS011636| European Ancestry| 199,868 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident T1D | HR: 1.64 [1.5, 1.79] | C-index: 0.68 [0.65, 0.7] | — | PCs 1-10 | — |
| PPM021265 | PGS004887 (T2D_gePGS) |
PSS011671| Multi-ancestry (including European)| 14,712 individuals |
PGP000619 | Mandla R et al. Genome Med (2024) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.48 [1.4, 1.57] | C-index: 0.816 | — | first 10 ancestry PCs, age, sex, BMI, family history of T2D, systolic blood pressure, triglycerides, total cholesterol, and HDL combined into a clinical risk score and random glucose | — |
| PPM021432 | PGS004923 (T2D_metaGRS) |
PSS011747| European Ancestry| 245,177 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 2.3 [2.26, 2.35] | AUROC: 0.777 [0.772, 0.781] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021438 | PGS004923 (T2D_metaGRS) |
PSS011738| European Ancestry| 38,941 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | HR: 2.07 [1.92, 2.23] | C-index: 0.774 [0.758, 0.79] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021460 | PGS004923 (T2D_metaGRS) |
PSS011746| European Ancestry| 232,808 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.8 [1.75, 1.85] | C-index: 0.719 [0.713, 0.725] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021467 | PGS004923 (T2D_metaGRS) |
PSS011735| African Ancestry| 44,346 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 1.35 [1.31, 1.39] | AUROC: 0.725 [0.718, 0.731] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021491 | PGS004923 (T2D_metaGRS) |
PSS011736| Hispanic or Latin American Ancestry| 33,652 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 1.73 [1.67, 1.79] | AUROC: 0.777 [0.77, 0.783] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021515 | PGS004923 (T2D_metaGRS) |
PSS011740| East Asian Ancestry| 1,149 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.37 [1.17, 1.6] | AUROC: 0.627 [0.585, 0.669] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021532 | PGS004923 (T2D_metaGRS) |
PSS011741| South Asian Ancestry| 852 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.69 [1.42, 2.02] | AUROC: 0.698 [0.658, 0.737] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021576 | PGS004923 (T2D_metaGRS) |
PSS011743| African Ancestry| 6,871 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 1.41 [1.31, 1.53] | AUROC: 0.723 [0.704, 0.742] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021598 | PGS004923 (T2D_metaGRS) |
PSS011745| East Asian Ancestry| 1,432 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 1.82 [1.42, 2.37] | AUROC: 0.734 [0.678, 0.79] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021621 | PGS004923 (T2D_metaGRS) |
PSS011749| South Asian Ancestry| 6,992 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 1.88 [1.75, 2.01] | AUROC: 0.742 [0.727, 0.756] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021639 | PGS004923 (T2D_metaGRS) |
PSS011742| African Ancestry| 6,019 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.22 [1.1, 1.34] | C-index: 0.649 [0.623, 0.676] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021667 | PGS004923 (T2D_metaGRS) |
PSS011744| East Asian Ancestry| 1,350 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.43 [1.02, 2.01] | C-index: 0.696 [0.624, 0.767] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021685 | PGS004923 (T2D_metaGRS) |
PSS011748| South Asian Ancestry| 5,685 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | HR: 1.35 [1.24, 1.48] | C-index: 0.629 [0.606, 0.651] | — | Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021410 | PGS004923 (T2D_metaGRS) |
PSS011737| European Ancestry| 109,021 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Type 2 diabetes | OR: 1.92 [1.88, 1.97] | AUROC: 0.737 [0.732, 0.742] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021558 | PGS004923 (T2D_metaGRS) |
PSS011739| Additional Asian Ancestries| 870 individuals |
PGP000656 | Ritchie SC et al. medRxiv (2024) |Pre |
Reported Trait: Incident type 2 diabetes | OR: 1.63 [1.37, 1.96] | AUROC: 0.697 [0.655, 0.739] | — | Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting) | — |
| PPM021884 | PGS005021 (Phe_250_2_ldpred_AFRss_afrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.269 [1.19, 1.35] | C-index: 0.77529 | — | age, sex, 20 PCs | — |
| PPM021890 | PGS005021 (Phe_250_2_ldpred_AFRss_afrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.276 [1.24, 1.31] | C-index: 0.69101 | — | age, sex, 20 PCs | — |
| PPM021896 | PGS005021 (Phe_250_2_ldpred_AFRss_afrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.429 [1.35, 1.51] | C-index: 0.72017 | — | age, sex, 20 PCs | — |
| PPM021886 | PGS005022 (Phe_250_2_ldpred_EURss_eurld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.725 [1.6, 1.86] | C-index: 0.78638 | — | age, sex, 20 PCs | — |
| PPM021892 | PGS005022 (Phe_250_2_ldpred_EURss_eurld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.741 [1.68, 1.8] | C-index: 0.72067 | — | age, sex, 20 PCs | — |
| PPM021898 | PGS005022 (Phe_250_2_ldpred_EURss_eurld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.358 [1.27, 1.46] | C-index: 0.71296 | — | age, sex, 20 PCs | — |
| PPM021885 | PGS005023 (Phe_250_2_ldpred_HISss_amrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.656 [1.52, 1.8] | C-index: 0.78141 | — | age, sex, 20 PCs | — |
| PPM021897 | PGS005023 (Phe_250_2_ldpred_HISss_amrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.22 [1.16, 1.28] | C-index: 0.71211 | — | age, sex, 20 PCs | — |
| PPM021891 | PGS005023 (Phe_250_2_ldpred_HISss_amrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.342 [1.3, 1.38] | C-index: 0.69576 | — | age, sex, 20 PCs | — |
| PPM021881 | PGS005024 (Phe_250_2_ldpred_METAss_afrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.763 [1.65, 1.88] | C-index: 0.793 | — | age, sex, 20 PCs | — |
| PPM021887 | PGS005024 (Phe_250_2_ldpred_METAss_afrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.823 [1.76, 1.88] | C-index: 0.73139 | — | age, sex, 20 PCs | — |
| PPM021893 | PGS005024 (Phe_250_2_ldpred_METAss_afrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.527 [1.45, 1.61] | C-index: 0.72638 | — | age, sex, 20 PCs | — |
| PPM021882 | PGS005025 (Phe_250_2_ldpred_METAss_amrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.662 [1.56, 1.77] | C-index: 0.78959 | — | age, sex, 20 PCs | — |
| PPM021888 | PGS005025 (Phe_250_2_ldpred_METAss_amrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.699 [1.65, 1.75] | C-index: 0.7247 | — | age, sex, 20 PCs | — |
| PPM021894 | PGS005025 (Phe_250_2_ldpred_METAss_amrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.509 [1.43, 1.59] | C-index: 0.72698 | — | age, sex, 20 PCs | — |
| PPM021883 | PGS005026 (Phe_250_2_ldpred_METAss_eurld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.728 [1.61, 1.85] | C-index: 0.78877 | — | age, sex, 20 PCs | — |
| PPM021889 | PGS005026 (Phe_250_2_ldpred_METAss_eurld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.916 [1.85, 1.98] | C-index: 0.73619 | — | age, sex, 20 PCs | — |
| PPM021895 | PGS005026 (Phe_250_2_ldpred_METAss_eurld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.529 [1.44, 1.63] | C-index: 0.72263 | — | age, sex, 20 PCs | — |
| PPM021779 | PGS005027 (Phe_250_2_prscs_AFRss_afrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.19 [1.12, 1.26] | C-index: 0.7739 | — | age, sex, 20 PCs | — |
| PPM021786 | PGS005027 (Phe_250_2_prscs_AFRss_afrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.238 [1.2, 1.28] | C-index: 0.6883 | — | age, sex, 20 PCs | — |
| PPM021793 | PGS005027 (Phe_250_2_prscs_AFRss_afrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.4 [1.31, 1.5] | C-index: 0.71542 | — | age, sex, 20 PCs | — |
| PPM021788 | PGS005028 (Phe_250_2_prscs_EURss_eurld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.939 [1.88, 2.0] | C-index: 0.74223 | — | age, sex, 20 PCs | — |
| PPM021795 | PGS005028 (Phe_250_2_prscs_EURss_eurld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.486 [1.4, 1.58] | C-index: 0.72107 | — | age, sex, 20 PCs | — |
| PPM021781 | PGS005028 (Phe_250_2_prscs_EURss_eurld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.902 [1.77, 2.04] | C-index: 0.798 | — | age, sex, 20 PCs | — |
| PPM021780 | PGS005029 (Phe_250_2_prscs_HISss_amrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.604 [1.48, 1.74] | C-index: 0.78047 | — | age, sex, 20 PCs | — |
| PPM021787 | PGS005029 (Phe_250_2_prscs_HISss_amrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.28, 1.36] | C-index: 0.69379 | — | age, sex, 20 PCs | — |
| PPM021794 | PGS005029 (Phe_250_2_prscs_HISss_amrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.21 [1.15, 1.27] | C-index: 0.71129 | — | age, sex, 20 PCs | — |
| PPM021783 | PGS005030 (Phe_250_2_prscs_METAss_afrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.723 [1.67, 1.78] | C-index: 0.72541 | — | age, sex, 20 PCs | — |
| PPM021776 | PGS005030 (Phe_250_2_prscs_METAss_afrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.67 [1.57, 1.78] | C-index: 0.79159 | — | age, sex, 20 PCs | — |
| PPM021790 | PGS005030 (Phe_250_2_prscs_METAss_afrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.507 [1.43, 1.59] | C-index: 0.72607 | — | age, sex, 20 PCs | — |
| PPM021777 | PGS005031 (Phe_250_2_prscs_METAss_amrld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.726 [1.62, 1.84] | C-index: 0.79244 | — | age, sex, 20 PCs | — |
| PPM021784 | PGS005031 (Phe_250_2_prscs_METAss_amrld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.843 [1.78, 1.91] | C-index: 0.73344 | — | age, sex, 20 PCs | — |
| PPM021791 | PGS005031 (Phe_250_2_prscs_METAss_amrld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.555 [1.47, 1.64] | C-index: 0.72865 | — | age, sex, 20 PCs | — |
| PPM021778 | PGS005032 (Phe_250_2_prscs_METAss_eurld) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.725 [1.61, 1.84] | C-index: 0.79098 | — | age, sex, 20 PCs | — |
| PPM021785 | PGS005032 (Phe_250_2_prscs_METAss_eurld) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.901 [1.84, 1.97] | C-index: 0.73686 | — | age, sex, 20 PCs | — |
| PPM021792 | PGS005032 (Phe_250_2_prscs_METAss_eurld) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.599 [1.5, 1.7] | C-index: 0.72643 | — | age, sex, 20 PCs | — |
| PPM021782 | PGS005033 (Phe_250_2_prscsx_METAweight) |
PSS011807| Hispanic or Latin American Ancestry| 8,102 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.887 [1.77, 2.02] | C-index: 0.79907 | — | age, sex, 20 PCs | — |
| PPM021789 | PGS005033 (Phe_250_2_prscsx_METAweight) |
PSS011817| European Ancestry| 30,374 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.905 [1.84, 1.97] | C-index: 0.74131 | — | age, sex, 20 PCs | — |
| PPM021796 | PGS005033 (Phe_250_2_prscsx_METAweight) |
PSS011797| African Ancestry| 10,808 individuals |
PGP000679 | Gunn S et al. HGG Adv (2024) |
Reported Trait: Type 2 diabetes | OR: 1.634 [1.54, 1.73] | C-index: 0.73245 | — | age, sex, 20 PCs | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS000122 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 21100 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |
| PSS009538 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS011643 | — | — | [
|
— | European | — | UKB | — |
| PSS011692 | ICD-10 code, E11 | — | 433,150 individuals | — | European (British) |
— | UKB | — |
| PSS011437 | — | — | [
|
— | European | — | UKB | — |
| PSS011441 | — | — | [ ,
82.0 % Male samples |
Mean = 27.5 years | African unspecified | — | PDAY | — |
| PSS011442 | — | — | [ ,
77.0 % Male samples |
Mean = 26.7 years | European | — | PDAY | — |
| PSS008169 | — | — | 5,228 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008170 | — | — | 6,312 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011299 | T2D ICD-10 code E11 | Median = 12.55 years IQR = [11.72, 13.27] years |
395,809 individuals, 45.8 % Male samples |
Mean = 56.7 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | Asian unspecified | — | MGBB | — |
| PSS010014 | PheCode 250.2 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
| PSS009595 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | Median = 109.0 months | [ ,
52.0 % Male samples |
Mean = 61.3 years | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009596 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009597 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — | |
| PSS009598 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009599 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — | |
| PSS009600 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. LSDM is defined in cases as type 2 diabetes diagnosed more than 24 months before PDAC diagnosis. Defined in controls as type 2 diabetes diagnosed more than 24 months before date of death or date of last follow up. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS000017 | Type 2 diabetes ascertainment was based on self-report in an interview with a trained nurse or an ICD-10 code of E11.X in hospitalization records. | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS009601 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. NODM is defined in cases as type 2 diabetes diagnosed within 24 months before or after diagnosis of PDAC. Defined in controls as type 2 diabetes diagnosed 24 months before death or last follow up. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | European | — | MGBB | — |
| PSS000754 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000755 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000756 | ICD-10 E11.0 - E11.9 | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS010998 | — | — | [
|
— | European | — | MGI | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | Not reported | — | MGBB | — |
| PSS011639 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011224 | — | — | [
|
— | European | — | EB | — |
| PSS010999 | — | — | [
|
— | European | — | UKB | — |
| PSS011225 | — | — | [
|
— | European | — | EB | — |
| PSS010036 | Field ID: 2443; Binary | — | [
|
— | European | — | UKB | — |
| PSS011000 | — | — | [
|
— | European | — | UKB | — |
| PSS009893 | — | — | 366 individuals | — | African American or Afro-Caribbean | — | SEARCH | — |
| PSS009894 | — | — | 412 individuals | — | Hispanic or Latin American | — | SEARCH | — |
| PSS009895 | — | — | 1,168 individuals | — | European | — | SEARCH | — |
| PSS009896 | — | — | 99 individuals | — | Not reported | — | SEARCH | — |
| PSS011001 | — | — | [
|
— | European | — | UKB | — |
| PSS011236 | T2D, ICD10: E11, ICD9: 250[0|1]0 (exclude E10) | — | [
|
— | European | — | FinnGen | — |
| PSS011235 | T1D, ICD10: E10, ICD9: 250[0|1]1 (exclude E11) | — | [
|
— | European | — | FinnGen | — |
| PSS000025 | Incident cases of Type 2 Diabetes in 5.63 years follow-up | — | [ ,
55.0 % Male samples |
— | European (Estonian) |
— | EB | — |
| PSS011515 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS011002 | — | — | [
|
— | European | — | UKB | — |
| PSS011515 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS000026 | Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio) | — | [ ,
46.3 % Male samples |
— | European | — | P2ID | A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded. |
| PSS000027 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
33.78 % Male samples |
— | African American or Afro-Caribbean | — | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000028 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
44.84 % Male samples |
— | Hispanic or Latin American | Samples labeled Caucasian (Hispanic ethnicity) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000029 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
47.34 % Male samples |
— | European | Samples labeled Caucasian (non-Hispanic) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS011003 | — | — | [
|
— | European | — | UKB | — |
| PSS011515 | — | — | [
|
— | East Asian | — | AllofUs | — |
| PSS009902 | — | — | [
|
— | European (Italian) |
— | NR | — |
| PSS011249 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011248 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011515 | — | — | [
|
— | European | — | AllofUs | — |
| PSS011644 | — | — | [
|
— | European | — | EB | — |
| PSS011645 | — | — | [
|
— | European | — | FinnGen | — |
| PSS000030 | — | — | [
|
— | African unspecified | — | 7 cohorts
|
— |
| PSS000031 | Cases are diagnosed with type 1 diabetes. | — | [
|
— | African unspecified | — | UOF | — |
| PSS000032 | Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D) | — | [
|
— | European | — | UKB | — |
| PSS000441 | National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9. | — | [ ,
47.3 % Male samples |
Mean (Age At Baseline) = 48.0 years | European (Finnish) |
— | FINRISK | FINRISK surveys from 1992, 1997, 2002 and 2007 |
| PSS011646 | — | — | [
|
— | European | — | G&H | — |
| PSS007737 | — | — | 2,200 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007738 | — | — | 2,476 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS011647 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011264 | — | — | [
|
— | European | — | HUNT | — |
| PSS000448 | National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9. | — | [ ,
43.7 % Male samples |
Mean (Age At Baseline) = 59.2 years Sd = 16.6 years |
European (Finnish) |
— | FinnGen | — |
| PSS011265 | — | — | [
|
— | European | — | HUNT | — |
| PSS011648 | — | — | [
|
— | European | — | GEL | — |
| PSS011395 | — | Mean = 8.1 years | 357,419 individuals | — | European (White British) |
— | UKB | — |
| PSS011649 | — | — | [
|
— | European | — | HUNT | — |
| PSS009287 | — | — | 18,975 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009288 | — | — | 19,931 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009913 | — | — | [
|
— | European | — | PANSCAN | — |
| PSS011277 | — | — | [
|
— | European | — | UKB | — |
| PSS011278 | — | — | [
|
— | European | — | UKB | — |
| PSS011650 | — | — | [
|
— | European | — | MGBB | — |
| PSS010055 | — | — | 22,608 individuals | — | East Asian | — | KBA, KoGES | — |
| PSS011291 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS000042 | T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications | — | [ ,
38.8 % Male samples |
— | African American or Afro-Caribbean | — | CARDIA | — |
| PSS000043 | T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications | — | [ ,
46.5 % Male samples |
— | European | — | CARDIA | — |
| PSS000044 | T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications | — | [ ,
46.6 % Male samples |
— | European | — | FOS | — |
| PSS009629 | — | — | 5,806 individuals | — | South Asian (Indian) |
— | INSPIRED | Dr. Mohan’s Diabetes Specialities Centre (INSPIRED - DMDSC) |
| PSS011295 | — | — | 1,798 individuals | — | Not reported | — | NR | StartRight |
| PSS004312 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004313 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004314 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004315 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004316 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | UKB | — |
| PSS011735 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis | — | [
|
— | African unspecified | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | AllofUs | — |
| PSS011736 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis | — | [
|
— | Hispanic or Latin American | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | AllofUs | — |
| PSS011737 | T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis | — | [
|
— | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | AllofUs | — |
| PSS011738 | T2D was defined using ICD-10 codes E10-E14, G59.0, G63.2, H28.0, H36.0, M14.2, N08.3, or O24.0-O24.3. Participants with any diabetes history were excluded from analysis. Incident diabetes events were treated as incident T2D | — | [
|
— | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | INTERVAL | — |
| PSS011739 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L) | — | [
|
— | South East Asian (Malay Singaporean) |
Ancestry label assigned based on Malay being the majority reported ethnicity within the genetic cluster | SingaporeMEC | — |
| PSS011740 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L) | — | [
|
— | East Asian (Chinese Singaporean) |
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | SingaporeMEC | — |
| PSS011741 | Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L) | — | [
|
— | South Asian (Indian Singaporean) |
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | SingaporeMEC | — |
| PSS011742 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | African unspecified | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011743 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | African unspecified | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011744 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | East Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011745 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | East Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011746 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011747 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | European | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011748 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | South Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011749 | Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data | — | [
|
— | South Asian | Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations | UKB | — |
| PSS011301 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011303 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011305 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011302 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011304 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011507 | — | — | 7,879 individuals | — | European | — | AllofUs | — |
| PSS008840 | — | — | 3,490 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008841 | — | — | 3,896 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS006886 | — | — | 673 individuals | — | African unspecified | — | UKB | — |
| PSS004359 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004360 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004361 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004362 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS000232 | Individuals with T2D were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications. | — | [ ,
39.65 % Male samples |
— | Hispanic or Latin American (Central American, Cuban, Dominican, Mexican, Puerto Rican, South American) |
Ancestry groups were defined based on a combination of self-identified Hispanic/Latino background and genetic similarity | HCHS, SOL | — |
| PSS000859 | Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Pancreatic Cancer=(ICD-9 = 157 or ICD-10 = C25) | Median = 5.8 years | [ ,
46.5 % Male samples |
— | European | — | UKB | — |
| PSS004363 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS006887 | — | — | 86 individuals | — | East Asian | — | UKB | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS006888 | — | — | 1,059 individuals | — | European | non-white British ancestry | UKB | — |
| PSS011306 | — | — | 5,024 individuals, 40.0 % Male samples |
— | East Asian (Chinese) |
— | Wuxi NCDs | — |
| PSS011514 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS006889 | — | — | 1,335 individuals | — | South Asian | — | UKB | — |
| PSS011516 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS011517 | — | — | [
|
— | East Asian | — | AllofUs | — |
| PSS011518 | — | — | [
|
— | European | — | AllofUs | — |
| PSS011519 | — | — | [
|
— | South Asian | — | AllofUs | — |
| PSS006890 | — | — | 3,195 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011515 | — | — | [
|
— | South Asian | — | AllofUs | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS000869 | CALIBER rule-based phenotyping algorithms (https://github.com/spiros/chronological-map-phenotypes#diabetes) | Median = 6.9 years | [ ,
51.0 % Male samples |
Median = 44.0 years IQR = [30.5, 54.7] years |
European | — | INTERVAL | — |
| PSS009943 | We used the disease definitions described in the supplement of Eastwood et al (2016). PMID: 27631769 | — | [ ,
45.0 % Male samples |
European | — | UKB | — | |
| PSS009669 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | GenHAT | — |
| PSS009670 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | HYPERGEN | — |
| PSS009671 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | REGARDS | — |
| PSS009672 | Self-reported T2D | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS009673 | Self-reported T2D | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS009674 | Self-reported T2D | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS009675 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | WPC | — |
| PSS009676 | An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites | — | [
|
— | African American or Afro-Caribbean (African) |
— | eMERGE | — |
| PSS009677 | An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites | — | [
|
— | European (European) |
— | eMERGE | — |
| PSS001022 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| PSS009678 | An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites | — | [
|
— | Hispanic or Latin American (Hispanic/Latino) |
— | eMERGE | — |
| PSS010101 | — | — | [ ,
0.0 % Male samples |
— | South Asian | — | BiB, START | 70% validation set from each cohort |
| PSS008391 | — | — | 1,107 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008392 | — | — | 1,197 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000565 | PheCode:157; ICD9:157, 157.0, 157.1, 157.2, 157.3, 157.4, 157.8, 157.9; ICD10:C25.0, C25.1, C25.2, C25.3, C25.4, C25.7, C25.8, C25.9 | — | [
|
— | European | — | UKB | — |
| PSS000083 | Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded. | — | [
|
— | European | — | WTCCC | Cases with Type 1 Diabetes |
| PSS000083 | MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female. | — | [ ,
33.91 % Male samples |
— | European | — | NR | Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K. |
| PSS011328 | — | — | 133,830 individuals, 0.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011329 | — | — | 115,207 individuals, 100.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011531 | Cases were individuals with T1D | — | [ ,
53.51 % Male samples |
— | European | — | NR | — |
| PSS011532 | Cases were individuals with T1D | — | [ ,
53.79 % Male samples |
— | European | — | NR | — |
| PSS011537 | — | Median = 8.9 years IQR = [8.3, 9.5] years |
[ ,
44.6 % Male samples |
Mean = 56.1 years Sd = 8.0 years |
European (White British) |
— | UKB | — |
| PSS004457 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004458 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004459 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004460 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011343 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS009971 | — | — | 30,716 individuals | — | European | — | MGBB | — |
| PSS011181 | — | — | 3,071 individuals, 48.8 % Male samples |
Mean = 57.4 years Sd = 12.88 years |
Not reported | — | KORA | — |
| PSS009971 | — | — | 1,807 individuals | — | African unspecified (Black) |
— | MGBB | — |
| PSS009971 | — | — | 786 individuals | — | Asian unspecified | — | MGBB | — |
| PSS009971 | — | — | 3,113 individuals | — | Other | — | MGBB | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001044 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes, and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the ARIC cohort prevalent type 2 diabetes was defined at the baseline examination as fasting (≥8 h) blood glucose ≥126 mg/dL, or nonfasting glucose ≥200 mg/dL, self-report physician diagnosis of diabetes or “sugar in the blood,” or current medication use for diabetes within the last two weeks. For the CARDIA cohort, T2D was determined at last visit based on a combination of measured fasting glucose levels (≥7.0 mmol/L and ≥126 mg/dL) at examination years 0, 7, 10, 15, 20, or 25; self-report of oral hypoglycemic medications or insulin at years 0, 7, 10, 15, 20, or 25; a 2-h postload glucose ≥11.1 mmol/L (≥200 mg/dL) during a 75-g oral glucose tolerance test at years 10, 20, and 25; or an HbA1c ≥6.5% at years 20 and 25. | — | [
|
— | African American or Afro-Caribbean | — | ARIC, BioMe, CARDIA, MEC, WHI | Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dafr. |
| PSS001045 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. | — | [
|
— | Asian unspecified | — | BioMe, MEC, WHI | Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dasn. |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001046 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the UKB cohort, T2D cases were defined by an ICD-10 code of E11.X or a self-reported diagnosis in an interview with a trained nurse. | — | [
|
— | European | — | UKB | Possible significant sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Deur |
| PSS001047 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the SOL cohort, T2D cases were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications. | — | [
|
— | Hispanic or Latin American | — | BioMe, MEC, SOL, WHI | Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dhis. |
| PSS001048 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individualswith (1) a T2D diagnosis by a physician/medical professional and use of medication for treat-mentofdiabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. | — | [
|
— | Oceanian (Native Hawaiian) |
— | MEC | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS000597 | In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. Cases Diagnosed within 10 years of blood collection. | Mean = 10.0 years | [ ,
28.1 % Male samples |
— | European | — | HPFS, NHS, PHS, WHI | Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample) |
| PSS000598 | In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. | — | [ ,
33.4 % Male samples |
— | European | — | HPFS, NHS, PHS, WHI | Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample) |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS007956 | — | — | 1,729 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007957 | — | — | 1,808 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011360 | — | — | 2,676 individuals, 32.47 % Male samples |
Mean = 54.0 years Sd = 11.8 years |
East Asian (Chinese) |
— | WHZH | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS010154 | — | — | [
|
— | European | — | UKB | — |
| PSS000054 | Prevalent T2D status was defined using self-reported medical history and medication | — | [
|
— | European | — | UKB | — |
| PSS011797 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS010157 | — | — | [
|
Mean = 42.3 years | Hispanic or Latin American (Mexican) |
— | METSB | — |
| PSS011807 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS009727 | — | — | 6,430 individuals | — | African unspecified | — | UKB | — |
| PSS009728 | — | — | 898 individuals | — | East Asian | — | UKB | — |
| PSS009729 | — | — | 43,355 individuals | — | European | Non-British European | UKB | — |
| PSS009730 | — | — | 7,926 individuals | — | South Asian | — | UKB | — |
| PSS010982 | — | Mean = 7.15 years | [
|
Mean = 31.04 years Sd = 10.43 years |
Native American | — | NR | — |
| PSS010983 | — | Mean = 21.28 years | [
|
— | Native American | — | NR | — |
| PSS010984 | — | Mean = 7.99 years | [
|
Mean = 12.05 years Sd = 3.73 years |
Native American | — | NR | — |
| PSS011817 | — | — | [
|
— | European | — | AllofUs | — |
| PSS009739 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009740 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009741 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009742 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS000368 | TEDDY children were followed prospectively from 3–4 months of age, with visits every 3 months until 4 years of age. Each evaluation tested the three islet antibodies (GADA, IA2A and IAA), changes in family history, as well as other measurements specified by the TEDDY protocol. After 4 years of age, children with any islet autoantibodies remained on quarterly visits, while antibody-negative children were evaluated every 6 months. Children were followed prospectively until 15 years of age or until T1D onset, as defined using the American Diabetes Association’s criteria for diagnosis (doi: 10.1196/annals.1447.062) | Median = 9.3 years Range = [0.0833, 14.0] years |
[ ,
50.86 % Male samples |
Range = [3.0, 4.0] years | NR | — | TEDDY | From 2004–2010, 424,788 newborns were screened at six US and European centers for high-risk HLA genotypes. TEDDY then enrolled 8,676 eligible infants with the intent to follow them until 15 years of age. The three major eligible HLA DR–DQ haplotypes are DR3–DQA1*0501–DQB1*0201, DR4–DQA1*0301–DQB1*0302 and DR8–DQA1*0401–DQB1*0402. |
| PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
| PSS009514 | — | — | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS009518 | — | — | [
|
— | European (Estonian) |
— | EB | — |
| PSS003606 | — | — | [
|
Mean = 56.81 years | European | — | UKB | — |
| PSS009522 | — | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS010993 | — | — | 153 individuals | Mean = 65.63 years | European | — | TCGA | — |
| PSS011636 | — | — | [
|
— | European | — | EB | — |
| PSS009526 | — | — | [
|
— | European | Norwegian | HUNT | — |
| PSS011637 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011638 | — | — | [
|
— | European | — | G&H | — |
| PSS011640 | — | — | [
|
— | European | — | GEL | — |
| PSS009530 | — | — | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS011642 | — | — | [
|
— | European | — | MGBB | — |
| PSS004570 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004571 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004572 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004573 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004574 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004575 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004576 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004577 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004578 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004579 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004580 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004581 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004582 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004583 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004584 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004585 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004586 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004587 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004588 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004589 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009542 | — | — | [
|
— | European | British | UKB | — |
| PSS009546 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011011 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011012 | — | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = white | MGBB | — |
| PSS011012 | — | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean (Black) |
— | MGBB | — |
| PSS011012 | — | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American (Hispanic) |
— | MGBB | — |
| PSS011012 | — | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | — | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean | Self-identified race = Black | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American | Self-identified race = Hispanic | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | Self-identified race = Other | MGBB | — |
| PSS011014 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = White | MGBB | — |
| PSS011407 | — | Mean = 6.8 years IQR = [6.3, 7.3] years |
[ ,
44.0 % Male samples |
Mean = 61.1 years Sd = 7.8 years |
European, Not reported | White European (97.1%) | UKB | — |
| PSS011641 | — | — | [
|
— | European | — | HUNT | — |
| PSS001092 | All individuals had cystic fibrosis with either 2 severe CFTR mutations and/or clinically diagnosed exocrine pancreatic insufficiency. Cases are individuals with cystic fibrosis related diabetes (CFRD).Phenotypes were obtained from extracted medical charts and CF Foundation Patient Registry through 2011. CFRD was defined by clinician diagnosis of diabetes plus insulin treatment for at least 1 year. The onset of CFRD was defined as the date at which insulin was started, if it was subsequently continued for at least 1 year. In approximately 50% of the participants, independent laboratory data (such as oral glucose tolerance test or hemoglobin A1c) were able to independently confirm the diagnosis of CFRD. Diabetes data were censored at the last clinic visit or date of solid organ transplant. | — | [ ,
47.04 % Male samples |
Mean = 20.0 years | Not reported | — | CGS, CWRU, FrGMC, JHU, UNC | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 12,508 individuals, 45.86 % Male samples |
Mean = 48.9 years | European | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 1,003 individuals, 45.86 % Male samples |
Mean = 48.9 years | Hispanic or Latin American | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 520 individuals, 45.86 % Male samples |
Mean = 48.9 years | African unspecified | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 240 individuals, 45.86 % Male samples |
Mean = 48.9 years | East Asian | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 117 individuals, 45.86 % Male samples |
Mean = 48.9 years | South Asian | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 125 individuals, 45.86 % Male samples |
Mean = 48.9 years | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 199 individuals, 45.86 % Male samples |
Mean = 48.9 years | Not reported | — | MGBB | — |
| PSS000279 | Primary tumor samples from TCGA | — | [
|
Mean = 66.0 years Sd = 11.0 years |
European | — | TCGA | — |
| PSS000279 | — | — | [
|
— | European | — | eMERGE | — |
| PSS009061 | — | — | 3,954 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008615 | — | — | 6,300 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008616 | — | — | 6,646 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011417 | — | — | [ ,
50.0 % Male samples |
— | East Asian (Japanese) |
— | ToMMo | — |
| PSS007684 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | Median = 13.0 years IQR = [7.5, 19.7] years |
[ ,
43.8 % Male samples |
Mean (Age At Baseline) = 53.2 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS007685 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | — | [ ,
42.9 % Male samples |
Mean (Age At Baseline) = 51.8 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS007686 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | — | [ ,
43.8 % Male samples |
Mean (Age At Baseline) = 53.2 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS009062 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009573 | — | — | [ ,
0.0 % Male samples |
— | East Asian (Chinese) |
— | NR | — |
| PSS011416 | — | — | [ ,
65.0 % Male samples |
— | East Asian (Japanese) |
— | BBJ | — |
| PSS007690 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | Median = 10.4 years IQR = [8.3, 11.3] years |
[ ,
46.3 % Male samples |
Mean (Age At Baseline) = 57.4 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS007691 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | — | [ ,
45.5 % Male samples |
Mean (Age At Baseline) = 57.2 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS001117 | T2D cases were defined as having an ICD-10 code of E11.X or having self-reported T2D in the in- terview. Only cases in which the individuals did not have T2D during the first assessment visit period (2006–2010) but were subsequently fol- lowed up for incident T2D events were considered. | Median = 3.58 years | [ ,
47.81 % Male samples |
— | European | — | UKB | — |
| PSS007692 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | — | [ ,
46.3 % Male samples |
Mean (Age At Baseline) = 57.4 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS009534 | — | — | [
|
— | European | — | MGBB | — |
| PSS009859 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009860 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009861 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009862 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |