Trait: glucose measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004468
Description Is any quantification of glucose.
Trait category
Other measurement
Synonym glucose level
Mapped terms 3 mapped terms
  • ICD10:R73
  • NCIt:C105585
  • SNOMEDCT:36048009
Child trait(s) 6 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "glucose measurement" and any child terms of this trait in the EFO hierarchy by default.
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)
PGS000127
(GS-E-EUR)
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 HbA1c HbA1c measurement 21
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000127/ScoringFiles/PGS000127.txt.gz
PGS000128
(GS-E-AFR)
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 HbA1c HbA1c measurement 22
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000128/ScoringFiles/PGS000128.txt.gz
PGS000129
(GS-E-EAS)
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 HbA1c HbA1c measurement 17
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000129/ScoringFiles/PGS000129.txt.gz
PGS000130
(GS-G-EUR)
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 HbA1c HbA1c measurement 19
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000130/ScoringFiles/PGS000130.txt.gz
PGS000131
(GS-G-AFR)
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 HbA1c HbA1c measurement 19
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000131/ScoringFiles/PGS000131.txt.gz
PGS000132
(GS-G-EAS)
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 HbA1c HbA1c measurement 19
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000132/ScoringFiles/PGS000132.txt.gz
PGS000304
(GRS43_HbA1c)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 HbA1c HbA1c measurement 43
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000304/ScoringFiles/PGS000304.txt.gz
PGS000305
(GRS31_FG)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Fasting glucose fasting blood glucose measurement 31
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000305/ScoringFiles/PGS000305.txt.gz
PGS000306
(GRS19_FGadjBMI)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Fasting glucose (body mass index adjusted) BMI-adjusted fasting blood glucose measurement 19
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000306/ScoringFiles/PGS000306.txt.gz
PGS000684
(snpnet.Glucose)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Glucose [mmol/L] glucose measurement 3,313
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000684/ScoringFiles/PGS000684.txt.gz - Check Terms/Licenses
PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 HbA1c [mmol/mol] HbA1c measurement 14,658
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000685/ScoringFiles/PGS000685.txt.gz - Check Terms/Licenses
PGS000838
(Fasting_Glucose)
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Fasting glucose fasting blood glucose measurement 224
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000838/ScoringFiles/PGS000838.txt.gz
PGS000839
(2H_Glucose)
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Two hour glucose during OGTT glucose tolerance test 219
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000839/ScoringFiles/PGS000839.txt.gz
PGS001350
(MAGICTA_EUR_PGS_FG)
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Fasting glucose fasting blood glucose measurement 1,023,373
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001350/ScoringFiles/PGS001350.txt.gz
PGS001352
(MAGICTA_EUR_PGS_HbA1c)
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Glycated haemoglobin levels (HbA1c) HbA1c measurement 1,018,836
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001352/ScoringFiles/PGS001352.txt.gz
PGS001952
(portability-PLR_log_glucose)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Glucose glucose measurement 14,811
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001952/ScoringFiles/PGS001952.txt.gz
PGS001953
(portability-PLR_log_HbA1c)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Glycated haemoglobin (HbA1c) HbA1c measurement 46,566
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001953/ScoringFiles/PGS001953.txt.gz
PGS002170
(portability-ldpred2_log_glucose)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Glucose glucose measurement 602,241
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002170/ScoringFiles/PGS002170.txt.gz
PGS002171
(portability-ldpred2_log_HbA1c)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Glycated haemoglobin (HbA1c) HbA1c measurement 736,730
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002171/ScoringFiles/PGS002171.txt.gz
PGS002328
(biochemistry_Glucose.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002328/ScoringFiles/PGS002328.txt.gz
PGS002331
(biochemistry_HbA1c.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002331/ScoringFiles/PGS002331.txt.gz
PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 920,926
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002365/ScoringFiles/PGS002365.txt.gz
PGS002367
(biochemistry_HbA1c.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 920,924
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002367/ScoringFiles/PGS002367.txt.gz
PGS002400
(biochemistry_Glucose.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 3,774
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002400/ScoringFiles/PGS002400.txt.gz
PGS002403
(biochemistry_HbA1c.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 11,872
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002403/ScoringFiles/PGS002403.txt.gz
PGS002449
(biochemistry_Glucose.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 15,659
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002449/ScoringFiles/PGS002449.txt.gz
PGS002452
(biochemistry_HbA1c.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 30,603
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002452/ScoringFiles/PGS002452.txt.gz
PGS002498
(biochemistry_Glucose.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 95,023
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002498/ScoringFiles/PGS002498.txt.gz
PGS002501
(biochemistry_HbA1c.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 128,425
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002501/ScoringFiles/PGS002501.txt.gz
PGS002547
(biochemistry_Glucose.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 840
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002547/ScoringFiles/PGS002547.txt.gz
PGS002550
(biochemistry_HbA1c.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 4,546
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002550/ScoringFiles/PGS002550.txt.gz
PGS002596
(biochemistry_Glucose.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 482
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002596/ScoringFiles/PGS002596.txt.gz
PGS002599
(biochemistry_HbA1c.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 3,055
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002599/ScoringFiles/PGS002599.txt.gz
PGS002645
(biochemistry_Glucose.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 412,574
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002645/ScoringFiles/PGS002645.txt.gz
PGS002648
(biochemistry_HbA1c.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 394,312
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002648/ScoringFiles/PGS002648.txt.gz
PGS002694
(biochemistry_Glucose.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Glucose glucose measurement 969,640
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002694/ScoringFiles/PGS002694.txt.gz
PGS002697
(biochemistry_HbA1c.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 HbA1c HbA1c measurement 989,344
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002697/ScoringFiles/PGS002697.txt.gz
PGS002924
(ExPRSweb_FPG_FGovertime-corrected_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 281
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002924/ScoringFiles/PGS002924.txt.gz
PGS002925
(ExPRSweb_FPG_FGovertime-corrected_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002925/ScoringFiles/PGS002925.txt.gz
PGS002926
(ExPRSweb_FPG_FGovertime-corrected_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002926/ScoringFiles/PGS002926.txt.gz
PGS002927
(ExPRSweb_FPG_FGovertime-corrected_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 5,106
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002927/ScoringFiles/PGS002927.txt.gz
PGS002928
(ExPRSweb_FPG_FGovertime-corrected_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 392
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002928/ScoringFiles/PGS002928.txt.gz
PGS002929
(ExPRSweb_FPG_MAGIC-FastingGlucose_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 71,791
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002929/ScoringFiles/PGS002929.txt.gz
PGS002930
(ExPRSweb_FPG_MAGIC-FastingGlucose_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 264
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002930/ScoringFiles/PGS002930.txt.gz
PGS002931
(ExPRSweb_FPG_MAGIC-FastingGlucose_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 273
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002931/ScoringFiles/PGS002931.txt.gz
PGS002932
(ExPRSweb_FPG_MAGIC-FastingGlucose_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 1,202,298
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002932/ScoringFiles/PGS002932.txt.gz
PGS002933
(ExPRSweb_FPG_MAGIC-FastingGlucose_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Fasting plasma glucose fasting blood glucose measurement 1,007,415
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002933/ScoringFiles/PGS002933.txt.gz
PGS002934
(ExPRSweb_Glucose_30740-irnt_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 513,495
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002934/ScoringFiles/PGS002934.txt.gz
PGS002935
(ExPRSweb_Glucose_30740-irnt_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 4,535
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002935/ScoringFiles/PGS002935.txt.gz
PGS002936
(ExPRSweb_Glucose_30740-irnt_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 4,405
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002936/ScoringFiles/PGS002936.txt.gz
PGS002937
(ExPRSweb_Glucose_30740-irnt_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 7,600,988
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002937/ScoringFiles/PGS002937.txt.gz
PGS002938
(ExPRSweb_Glucose_30740-irnt_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 1,113,830
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002938/ScoringFiles/PGS002938.txt.gz
PGS002939
(ExPRSweb_Glucose_30740-raw_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 444,825
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002939/ScoringFiles/PGS002939.txt.gz
PGS002940
(ExPRSweb_Glucose_30740-raw_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 1,080
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002940/ScoringFiles/PGS002940.txt.gz
PGS002941
(ExPRSweb_Glucose_30740-raw_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 1,049
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002941/ScoringFiles/PGS002941.txt.gz
PGS002942
(ExPRSweb_Glucose_30740-raw_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 7,600,988
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002942/ScoringFiles/PGS002942.txt.gz
PGS002943
(ExPRSweb_Glucose_30740-raw_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose glucose measurement 1,113,830
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002943/ScoringFiles/PGS002943.txt.gz
PGS002944
(ExPRSweb_Glucose_FGovertime-corrected_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 519
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002944/ScoringFiles/PGS002944.txt.gz
PGS002945
(ExPRSweb_Glucose_FGovertime-corrected_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 1,479
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002945/ScoringFiles/PGS002945.txt.gz
PGS002946
(ExPRSweb_Glucose_FGovertime-corrected_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 1,553
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002946/ScoringFiles/PGS002946.txt.gz
PGS002947
(ExPRSweb_Glucose_FGovertime-corrected_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 1,501
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002947/ScoringFiles/PGS002947.txt.gz
PGS002948
(ExPRSweb_Glucose_FGovertime-corrected_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 392
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002948/ScoringFiles/PGS002948.txt.gz
PGS002949
(ExPRSweb_Glucose_MAGIC-FastingGlucose_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 72,352
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002949/ScoringFiles/PGS002949.txt.gz
PGS002950
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 38
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002950/ScoringFiles/PGS002950.txt.gz
PGS002951
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 38
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002951/ScoringFiles/PGS002951.txt.gz
PGS002952
(ExPRSweb_Glucose_MAGIC-FastingGlucose_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 1,501
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002952/ScoringFiles/PGS002952.txt.gz
PGS002953
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Glucose fasting blood glucose measurement 1,008,035
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002953/ScoringFiles/PGS002953.txt.gz
PGS003336
(CVGRS_FPG)
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Fasting plasma glucose fasting blood glucose measurement 56
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003336/ScoringFiles/PGS003336.txt.gz
PGS003337
(CVGRS_HbA1c)
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 HbA1c HbA1c measurement 68
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003337/ScoringFiles/PGS003337.txt.gz
PGS003345
(ALLGRS_FPG)
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Fasting plasma glucose fasting blood glucose measurement 60
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003345/ScoringFiles/PGS003345.txt.gz
PGS003346
(ALLGRS_HbA1c)
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 HbA1c HbA1c measurement 74
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003346/ScoringFiles/PGS003346.txt.gz
PGS003469
(LDPred2_HOMA_B)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 HOMA-B HOMA-B 775,825
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003469/ScoringFiles/PGS003469.txt.gz
PGS003470
(LDPred2_HOMA_IR)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 HOMA-IR HOMA-IR 775,999
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003470/ScoringFiles/PGS003470.txt.gz
PGS003471
(LDPred2_HbA1c)
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 HbA1c HbA1c measurement 848,979
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003471/ScoringFiles/PGS003471.txt.gz
PGS003533
(cont-decay-log_HbA1c)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Glycated haemoglobin (HbA1c) HbA1c measurement 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003533/ScoringFiles/PGS003533.txt.gz
PGS003987
(dbslmm.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 1,009,642
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003987/ScoringFiles/PGS003987.txt.gz
PGS004003
(lassosum.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 4,697
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004003/ScoringFiles/PGS004003.txt.gz
PGS004029
(ldpred2.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 907,906
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004029/ScoringFiles/PGS004029.txt.gz
PGS004044
(ldpred2.CV.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 907,906
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004044/ScoringFiles/PGS004044.txt.gz
PGS004057
(megaprs.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 514,367
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004057/ScoringFiles/PGS004057.txt.gz
PGS004073
(megaprs.CV.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 514,367
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004073/ScoringFiles/PGS004073.txt.gz
PGS004087
(prscs.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 989,845
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004087/ScoringFiles/PGS004087.txt.gz
PGS004111
(pt_clump.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 51
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004111/ScoringFiles/PGS004111.txt.gz
PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 246
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004127/ScoringFiles/PGS004127.txt.gz
PGS004141
(sbayesr.auto.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 683,029
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004141/ScoringFiles/PGS004141.txt.gz
PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 HbA1c HbA1c measurement 1,009,664
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004157/ScoringFiles/PGS004157.txt.gz
PGS004337
(X30750.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Glycated haemoglobin (mmol/mol) HbA1c measurement 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004337/ScoringFiles/PGS004337.txt.gz
PGS004701
(a1c_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 HbA1c HbA1c measurement 1,107,927
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004701/ScoringFiles/PGS004701.txt.gz
PGS004702
(a1c_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 HbA1c HbA1c measurement 6,652,699
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004702/ScoringFiles/PGS004702.txt.gz
PGS004703
(a1c_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 HbA1c HbA1c measurement 3,872,159
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004703/ScoringFiles/PGS004703.txt.gz
PGS004704
(a1c_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 HbA1c HbA1c measurement 6,652,699
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004704/ScoringFiles/PGS004704.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
PPM000407 PGS000127
(GS-E-EUR)
 PSS000236|
European Ancestry|
37,357 individuals
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 Reported Trait: Incident type 2 diabetes OR: 1.0 [0.99, 1.01] — — age, sex —
PPM000408 PGS000128
(GS-E-AFR)
 PSS000234|
African Ancestry|
1,906 individuals
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 Reported Trait: Incident type 2 diabetes OR: 0.98 [0.96, 1.0] — — age, sex —
PPM000409 PGS000129
(GS-E-EAS)
 PSS000235|
East Asian Ancestry|
5,073 individuals
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 Reported Trait: Incident type 2 diabetes OR: 1.02 [0.99, 1.05] — — age, sex —
PPM000410 PGS000130
(GS-G-EUR)
 PSS000236|
European Ancestry|
37,357 individuals
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 Reported Trait: Incident type 2 diabetes OR: 1.05 [1.04, 1.06] — — age, sex —
PPM000411 PGS000131
(GS-G-AFR)
 PSS000234|
African Ancestry|
1,906 individuals
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 Reported Trait: Incident type 2 diabetes OR: 1.0 [0.95, 1.05] — — age, sex —
PPM000412 PGS000132
(GS-G-EAS)
 PSS000235|
East Asian Ancestry|
5,073 individuals
 PGP000064 |
Wheeler E et al. PLoS Med (2017)
 Reported Trait: Incident type 2 diabetes OR: 1.05 [1.02, 1.07] — — age, sex —
PPM000774 PGS000304
(GRS43_HbA1c)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: HbA1c (%) — — R²: 0.0283 Sex, age, age^2 —
PPM000803 PGS000304
(GRS43_HbA1c)
 PSS000371|
European Ancestry|
288 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: HbA1c (%) — — R²: 0.0277 Sex, age, age^2 —
PPM000775 PGS000305
(GRS31_FG)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Fasting glucose (mmol/l) — — R²: 0.0367 Sex, age, age^2 —
PPM000776 PGS000306
(GRS19_FGadjBMI)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Fasting glucose (mmol/l) — — R²: 0.0095 Sex, age, BMI —
PPM001447 PGS000684
(snpnet.Glucose)
 PSS000695|
East Asian Ancestry|
60 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — R²: 0.08219
Spearman's ρ: 0.178		 Age, sex, PCs(1-40) —
PPM001482 PGS000684
(snpnet.Glucose)
 PSS000696|
European Ancestry|
986 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — R²: 0.06962
Spearman's ρ: 0.242		 Age, sex, PCs(1-40) —
PPM001517 PGS000684
(snpnet.Glucose)
 PSS000697|
South Asian Ancestry|
337 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — R²: 0.05599
Spearman's ρ: 0.227		 Age, sex, PCs(1-40) —
PPM001552 PGS000684
(snpnet.Glucose)
 PSS000698|
European Ancestry|
2,208 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — R²: 0.06966
Spearman's ρ: 0.214		 Age, sex, PCs(1-40) —
PPM001583 PGS000684
(snpnet.Glucose)
 PSS000813|
European Ancestry|
2,129 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — Spearman's ρ: 0.132 Age, sex —
PPM001584 PGS000684
(snpnet.Glucose)
 PSS000814|
European Ancestry|
2,002 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — Spearman's ρ: 0.135 Age, sex —
PPM001412 PGS000684
(snpnet.Glucose)
 PSS000694|
African Ancestry|
760 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: Glucose [mmol/L] — — R²: 0.05168
Spearman's ρ: 0.059		 Age, sex, PCs(1-40) —
PPM007345 PGS000684
(snpnet.Glucose)
 PSS007151|
African Ancestry|
5,651 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glucose — — R²: 0.02744 [0.01961, 0.03527]
Incremental R2 (full-covars): 0.00103
PGS R2 (no covariates): 0.00255 [0.0001, 0.005]		 age, sex, UKB array type, Genotype PCs —
PPM007346 PGS000684
(snpnet.Glucose)
 PSS007152|
East Asian Ancestry|
1,474 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glucose — — R²: 0.04784 [0.02811, 0.06758]
Incremental R2 (full-covars): 0.00354
PGS R2 (no covariates): 0.00962 [0.00041, 0.01883]		 age, sex, UKB array type, Genotype PCs —
PPM007347 PGS000684
(snpnet.Glucose)
 PSS007153|
European Ancestry|
21,725 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glucose — — R²: 0.01933 [0.01594, 0.02271]
Incremental R2 (full-covars): 0.00451
PGS R2 (no covariates): 0.01332 [0.01049, 0.01615]		 age, sex, UKB array type, Genotype PCs —
PPM007348 PGS000684
(snpnet.Glucose)
 PSS007154|
South Asian Ancestry|
6,787 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glucose — — R²: 0.02105 [0.01476, 0.02734]
Incremental R2 (full-covars): 0.00223
PGS R2 (no covariates): 0.01136 [0.0067, 0.01603]		 age, sex, UKB array type, Genotype PCs —
PPM007349 PGS000684
(snpnet.Glucose)
 PSS007155|
European Ancestry|
59,031 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glucose — — R²: 0.01813 [0.01614, 0.02013]
Incremental R2 (full-covars): 0.00467
PGS R2 (no covariates): 0.01444 [0.01265, 0.01622]		 age, sex, UKB array type, Genotype PCs —
PPM001413 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS000704|
African Ancestry|
4,847 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: HbA1c [mmol/mol] — — R²: 0.07974
Spearman's ρ: 0.132		 Age, sex, PCs(1-40) —
PPM001448 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS000705|
East Asian Ancestry|
1,032 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: HbA1c [mmol/mol] — — R²: 0.16979
Spearman's ρ: 0.285		 Age, sex, PCs(1-40) —
PPM001483 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS000706|
European Ancestry|
22,518 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: HbA1c [mmol/mol] — — R²: 0.17335
Spearman's ρ: 0.367		 Age, sex, PCs(1-40) —
PPM001518 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS000707|
South Asian Ancestry|
6,895 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: HbA1c [mmol/mol] — — R²: 0.12743
Spearman's ρ: 0.268		 Age, sex, PCs(1-40) —
PPM001553 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS000708|
European Ancestry|
60,920 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: HbA1c [mmol/mol] — — R²: 0.16381
Spearman's ρ: 0.375		 Age, sex, PCs(1-40) —
PPM001585 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS000817|
European Ancestry|
1,995 individuals
 PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
 Reported Trait: HbA1c [mmol/mol] — — Spearman's ρ: 0.217 Age, sex —
PPM007350 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS007156|
African Ancestry|
5,219 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glycated haemoglobin (HbA1c) — — R²: 0.05396 [0.04328, 0.06464]
Incremental R2 (full-covars): 0.00054
PGS R2 (no covariates): 0.00619 [0.00239, 0.00998]		 age, sex, UKB array type, Genotype PCs —
PPM007351 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS007157|
East Asian Ancestry|
1,622 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glycated haemoglobin (HbA1c) — — R²: 0.1264 [0.09696, 0.15583]
Incremental R2 (full-covars): 0.00207
PGS R2 (no covariates): 0.04145 [0.02295, 0.05994]		 age, sex, UKB array type, Genotype PCs —
PPM007352 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS007158|
European Ancestry|
23,762 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glycated haemoglobin (HbA1c) — — R²: 0.06205 [0.05625, 0.06785]
Incremental R2 (full-covars): 0.00348
PGS R2 (no covariates): 0.06567 [0.05972, 0.07162]		 age, sex, UKB array type, Genotype PCs —
PPM007353 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS007159|
South Asian Ancestry|
7,345 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glycated haemoglobin (HbA1c) — — R²: 0.05344 [0.04375, 0.06313]
Incremental R2 (full-covars): 0.00135
PGS R2 (no covariates): 0.03576 [0.02769, 0.04383]		 age, sex, UKB array type, Genotype PCs —
PPM007354 PGS000685
(snpnet.Glycated_haemoglobin_HbA1c)
 PSS007160|
European Ancestry|
64,432 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.		 Reported Trait: Glycated haemoglobin (HbA1c) — — R²: 0.05264 [0.04936, 0.05592]
Incremental R2 (full-covars): 0.00369
PGS R2 (no covariates): 0.06933 [0.06563, 0.07303]		 age, sex, UKB array type, Genotype PCs —
PPM002273 PGS000838
(Fasting_Glucose)
 PSS001086|
European Ancestry|
3,194 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Autoimmune Diabetes OR: 1.09 [0.98, 1.2] — — PC1-10 —
PPM002275 PGS000838
(Fasting_Glucose)
 PSS001088|
European Ancestry|
3,869 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.05 [0.98, 1.13] — — PC1-10 —
PPM002276 PGS000838
(Fasting_Glucose)
 PSS001085|
European Ancestry|
4,116 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Obesity-related Diabetes OR: 1.38 [1.29, 1.48] — — PC1-10 —
PPM002277 PGS000838
(Fasting_Glucose)
 PSS001084|
European Ancestry|
5,597 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Age-Related Diabetes OR: 1.33 [1.26, 1.41] — — PC1-10 —
PPM002274 PGS000838
(Fasting_Glucose)
 PSS001087|
European Ancestry|
3,930 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.33 [1.24, 1.42] — — PC1-10 —
PPM002278 PGS000839
(2H_Glucose)
 PSS001086|
European Ancestry|
3,194 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.24] — — PC1-10 —
PPM002279 PGS000839
(2H_Glucose)
 PSS001087|
European Ancestry|
3,930 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.4 [1.31, 1.51] — — PC1-10 —
PPM002280 PGS000839
(2H_Glucose)
 PSS001088|
European Ancestry|
3,869 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.06, 1.22] — — PC1-10 —
PPM002281 PGS000839
(2H_Glucose)
 PSS001085|
European Ancestry|
4,116 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Obesity-related Diabetes OR: 1.31 [1.22, 1.4] — — PC1-10 —
PPM002282 PGS000839
(2H_Glucose)
 PSS001084|
European Ancestry|
5,597 individuals
 PGP000211 |
Aly DM et al. Nat Genet (2021)
 Reported Trait: Moderate Age-Related Diabetes OR: 1.34 [1.27, 1.42] — — PC1-10 —
PPM005137 PGS001350
(MAGICTA_EUR_PGS_FG)
 PSS003587|
European Ancestry|
45,038 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Fasting glucose — — R²: 0.229 — —
PPM005140 PGS001350
(MAGICTA_EUR_PGS_FG)
 PSS003585|
African Ancestry|
16,579 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Fasting glucose — — R²: 0.032 — —
PPM005143 PGS001350
(MAGICTA_EUR_PGS_FG)
 PSS003586|
East Asian Ancestry|
31,669 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Fasting glucose — — R²: 0.027 — —
PPM005139 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
 PSS003594|
European Ancestry|
61,820 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Glycated haemoglobin levels (HbA1c) — — R²: 0.178 — —
PPM005142 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
 PSS003591|
African Ancestry|
6,647 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Glycated haemoglobin levels (HbA1c) — — R²: 0.012 — —
PPM005145 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
 PSS003593|
East Asian Ancestry|
31,236 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Glycated haemoglobin levels (HbA1c) — — R²: 0.026 — —
PPM005146 PGS001352
(MAGICTA_EUR_PGS_HbA1c)
 PSS003592|
African Ancestry|
4,441 individuals
 PGP000246 |
Chen J et al. Nat Genet (2021)
 Reported Trait: Glycated haemoglobin levels (HbA1c) — — R²: 0.006 — —
PPM010491 PGS001952
(portability-PLR_log_glucose)
 PSS009445|
European Ancestry|
17,440 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1692 [0.1548, 0.1836] sex, age, birth date, deprivation index, 16 PCs —
PPM010492 PGS001952
(portability-PLR_log_glucose)
 PSS009219|
European Ancestry|
3,591 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1835 [0.1516, 0.215] sex, age, birth date, deprivation index, 16 PCs —
PPM010493 PGS001952
(portability-PLR_log_glucose)
 PSS008773|
European Ancestry|
5,795 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1572 [0.1319, 0.1822] sex, age, birth date, deprivation index, 16 PCs —
PPM010494 PGS001952
(portability-PLR_log_glucose)
 PSS008547|
Greater Middle Eastern Ancestry|
1,034 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1414 [0.0806, 0.2012] sex, age, birth date, deprivation index, 16 PCs —
PPM010495 PGS001952
(portability-PLR_log_glucose)
 PSS008325|
South Asian Ancestry|
5,481 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.142 [0.116, 0.1679] sex, age, birth date, deprivation index, 16 PCs —
PPM010496 PGS001952
(portability-PLR_log_glucose)
 PSS008102|
East Asian Ancestry|
1,562 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1327 [0.0833, 0.1814] sex, age, birth date, deprivation index, 16 PCs —
PPM010497 PGS001952
(portability-PLR_log_glucose)
 PSS007889|
African Ancestry|
2,159 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.0635 [0.0212, 0.1056] sex, age, birth date, deprivation index, 16 PCs —
PPM010498 PGS001952
(portability-PLR_log_glucose)
 PSS008993|
African Ancestry|
3,397 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.0622 [0.0286, 0.0958] sex, age, birth date, deprivation index, 16 PCs —
PPM010500 PGS001953
(portability-PLR_log_HbA1c)
 PSS009208|
European Ancestry|
3,930 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3374 [0.3093, 0.3649] sex, age, birth date, deprivation index, 16 PCs —
PPM010501 PGS001953
(portability-PLR_log_HbA1c)
 PSS008762|
European Ancestry|
6,326 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3092 [0.2867, 0.3314] sex, age, birth date, deprivation index, 16 PCs —
PPM010502 PGS001953
(portability-PLR_log_HbA1c)
 PSS008536|
Greater Middle Eastern Ancestry|
1,128 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.329 [0.2755, 0.3806] sex, age, birth date, deprivation index, 16 PCs —
PPM010503 PGS001953
(portability-PLR_log_HbA1c)
 PSS008314|
South Asian Ancestry|
5,936 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.2406 [0.2164, 0.2644] sex, age, birth date, deprivation index, 16 PCs —
PPM010504 PGS001953
(portability-PLR_log_HbA1c)
 PSS008091|
East Asian Ancestry|
1,731 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.2506 [0.2057, 0.2945] sex, age, birth date, deprivation index, 16 PCs —
PPM010505 PGS001953
(portability-PLR_log_HbA1c)
 PSS007878|
African Ancestry|
2,100 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.1217 [0.0792, 0.1639] sex, age, birth date, deprivation index, 16 PCs —
PPM010506 PGS001953
(portability-PLR_log_HbA1c)
 PSS008982|
African Ancestry|
2,976 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.087 [0.0511, 0.1226] sex, age, birth date, deprivation index, 16 PCs —
PPM010499 PGS001953
(portability-PLR_log_HbA1c)
 PSS009434|
European Ancestry|
19,060 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3405 [0.3279, 0.353] sex, age, birth date, deprivation index, 16 PCs —
PPM012208 PGS002170
(portability-ldpred2_log_glucose)
 PSS009219|
European Ancestry|
3,591 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1797 [0.1478, 0.2113] sex, age, birth date, deprivation index, 16 PCs —
PPM012209 PGS002170
(portability-ldpred2_log_glucose)
 PSS008773|
European Ancestry|
5,795 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1621 [0.1369, 0.1871] sex, age, birth date, deprivation index, 16 PCs —
PPM012207 PGS002170
(portability-ldpred2_log_glucose)
 PSS009445|
European Ancestry|
17,440 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1726 [0.1581, 0.1869] sex, age, birth date, deprivation index, 16 PCs —
PPM012210 PGS002170
(portability-ldpred2_log_glucose)
 PSS008547|
Greater Middle Eastern Ancestry|
1,034 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1516 [0.0909, 0.2112] sex, age, birth date, deprivation index, 16 PCs —
PPM012211 PGS002170
(portability-ldpred2_log_glucose)
 PSS008325|
South Asian Ancestry|
5,481 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1434 [0.1173, 0.1692] sex, age, birth date, deprivation index, 16 PCs —
PPM012213 PGS002170
(portability-ldpred2_log_glucose)
 PSS007889|
African Ancestry|
2,159 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.0711 [0.0288, 0.1131] sex, age, birth date, deprivation index, 16 PCs —
PPM012214 PGS002170
(portability-ldpred2_log_glucose)
 PSS008993|
African Ancestry|
3,397 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.0703 [0.0366, 0.1037] sex, age, birth date, deprivation index, 16 PCs —
PPM012212 PGS002170
(portability-ldpred2_log_glucose)
 PSS008102|
East Asian Ancestry|
1,562 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glucose — — Partial Correlation (partial-r): 0.1358 [0.0864, 0.1844] sex, age, birth date, deprivation index, 16 PCs —
PPM012215 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS009434|
European Ancestry|
19,060 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3359 [0.3233, 0.3485] sex, age, birth date, deprivation index, 16 PCs —
PPM012216 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS009208|
European Ancestry|
3,930 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3366 [0.3085, 0.3641] sex, age, birth date, deprivation index, 16 PCs —
PPM012217 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS008762|
European Ancestry|
6,326 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3096 [0.2871, 0.3317] sex, age, birth date, deprivation index, 16 PCs —
PPM012219 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS008314|
South Asian Ancestry|
5,936 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.2393 [0.2152, 0.2632] sex, age, birth date, deprivation index, 16 PCs —
PPM012220 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS008091|
East Asian Ancestry|
1,731 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.2571 [0.2123, 0.3008] sex, age, birth date, deprivation index, 16 PCs —
PPM012221 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS007878|
African Ancestry|
2,100 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.1245 [0.082, 0.1666] sex, age, birth date, deprivation index, 16 PCs —
PPM012222 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS008982|
African Ancestry|
2,976 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.0934 [0.0575, 0.129] sex, age, birth date, deprivation index, 16 PCs —
PPM012218 PGS002171
(portability-ldpred2_log_HbA1c)
 PSS008536|
Greater Middle Eastern Ancestry|
1,128 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Glycated haemoglobin (HbA1c) — — Partial Correlation (partial-r): 0.3222 [0.2684, 0.374] sex, age, birth date, deprivation index, 16 PCs —
PPM013093 PGS002328
(biochemistry_Glucose.BOLT-LMM)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0089 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013142 PGS002328
(biochemistry_Glucose.BOLT-LMM)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0154 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013191 PGS002328
(biochemistry_Glucose.BOLT-LMM)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0298 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013240 PGS002328
(biochemistry_Glucose.BOLT-LMM)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0219 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013243 PGS002331
(biochemistry_HbA1c.BOLT-LMM)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0576 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013096 PGS002331
(biochemistry_HbA1c.BOLT-LMM)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0201 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013145 PGS002331
(biochemistry_HbA1c.BOLT-LMM)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0596 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013194 PGS002331
(biochemistry_HbA1c.BOLT-LMM)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.1142 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013277 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013300 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0068 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013323 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013346 PGS002365
(biochemistry_Glucose.BOLT-LMM-BBJ)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013279 PGS002367
(biochemistry_HbA1c.BOLT-LMM-BBJ)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013302 PGS002367
(biochemistry_HbA1c.BOLT-LMM-BBJ)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0153 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013325 PGS002367
(biochemistry_HbA1c.BOLT-LMM-BBJ)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0014 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013348 PGS002367
(biochemistry_HbA1c.BOLT-LMM-BBJ)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0018 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013381 PGS002400
(biochemistry_Glucose.P+T.0.0001)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013430 PGS002400
(biochemistry_Glucose.P+T.0.0001)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0029 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013479 PGS002400
(biochemistry_Glucose.P+T.0.0001)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0012 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013528 PGS002400
(biochemistry_Glucose.P+T.0.0001)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0014 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013384 PGS002403
(biochemistry_HbA1c.P+T.0.0001)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013433 PGS002403
(biochemistry_HbA1c.P+T.0.0001)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.024 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013482 PGS002403
(biochemistry_HbA1c.P+T.0.0001)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.033 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013531 PGS002403
(biochemistry_HbA1c.P+T.0.0001)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0108 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013577 PGS002449
(biochemistry_Glucose.P+T.0.001)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013626 PGS002449
(biochemistry_Glucose.P+T.0.001)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0039 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013675 PGS002449
(biochemistry_Glucose.P+T.0.001)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013724 PGS002449
(biochemistry_Glucose.P+T.0.001)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0015 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013580 PGS002452
(biochemistry_HbA1c.P+T.0.001)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013629 PGS002452
(biochemistry_HbA1c.P+T.0.001)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0058 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013678 PGS002452
(biochemistry_HbA1c.P+T.0.001)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0272 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013727 PGS002452
(biochemistry_HbA1c.P+T.0.001)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0056 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013773 PGS002498
(biochemistry_Glucose.P+T.0.01)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0005 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013822 PGS002498
(biochemistry_Glucose.P+T.0.01)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0136 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013871 PGS002498
(biochemistry_Glucose.P+T.0.01)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013920 PGS002498
(biochemistry_Glucose.P+T.0.01)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013776 PGS002501
(biochemistry_HbA1c.P+T.0.01)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013825 PGS002501
(biochemistry_HbA1c.P+T.0.01)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0071 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013874 PGS002501
(biochemistry_HbA1c.P+T.0.01)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0215 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013923 PGS002501
(biochemistry_HbA1c.P+T.0.01)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013969 PGS002547
(biochemistry_Glucose.P+T.1e-06)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014018 PGS002547
(biochemistry_Glucose.P+T.1e-06)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014067 PGS002547
(biochemistry_Glucose.P+T.1e-06)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0015 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014116 PGS002547
(biochemistry_Glucose.P+T.1e-06)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013972 PGS002550
(biochemistry_HbA1c.P+T.1e-06)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014021 PGS002550
(biochemistry_HbA1c.P+T.1e-06)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0268 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014070 PGS002550
(biochemistry_HbA1c.P+T.1e-06)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0444 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014119 PGS002550
(biochemistry_HbA1c.P+T.1e-06)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0172 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014165 PGS002596
(biochemistry_Glucose.P+T.5e-08)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014214 PGS002596
(biochemistry_Glucose.P+T.5e-08)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014263 PGS002596
(biochemistry_Glucose.P+T.5e-08)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0038 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014312 PGS002596
(biochemistry_Glucose.P+T.5e-08)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0011 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014168 PGS002599
(biochemistry_HbA1c.P+T.5e-08)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014217 PGS002599
(biochemistry_HbA1c.P+T.5e-08)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0234 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014266 PGS002599
(biochemistry_HbA1c.P+T.5e-08)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0488 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014315 PGS002599
(biochemistry_HbA1c.P+T.5e-08)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0179 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014361 PGS002645
(biochemistry_Glucose.PolyFun-pred)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0126 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014410 PGS002645
(biochemistry_Glucose.PolyFun-pred)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0197 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014459 PGS002645
(biochemistry_Glucose.PolyFun-pred)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.033 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014508 PGS002645
(biochemistry_Glucose.PolyFun-pred)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0248 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Glucose.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014364 PGS002648
(biochemistry_HbA1c.PolyFun-pred)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0239 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014413 PGS002648
(biochemistry_HbA1c.PolyFun-pred)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0785 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014511 PGS002648
(biochemistry_HbA1c.PolyFun-pred)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.064 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014462 PGS002648
(biochemistry_HbA1c.PolyFun-pred)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1252 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_HbA1c.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014606 PGS002694
(biochemistry_Glucose.SBayesR)
 PSS009756|
East Asian Ancestry|
794 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0177 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014655 PGS002694
(biochemistry_Glucose.SBayesR)
 PSS009757|
European Ancestry|
37,281 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0296 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014704 PGS002694
(biochemistry_Glucose.SBayesR)
 PSS009758|
South Asian Ancestry|
6,744 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0212 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014557 PGS002694
(biochemistry_Glucose.SBayesR)
 PSS009755|
African Ancestry|
5,505 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Glucose — — Incremental R2 (full model vs. covariates alone): 0.0094 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014560 PGS002697
(biochemistry_HbA1c.SBayesR)
 PSS009767|
African Ancestry|
4,803 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0181 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014609 PGS002697
(biochemistry_HbA1c.SBayesR)
 PSS009768|
East Asian Ancestry|
841 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0677 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014658 PGS002697
(biochemistry_HbA1c.SBayesR)
 PSS009769|
European Ancestry|
38,991 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.112 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014707 PGS002697
(biochemistry_HbA1c.SBayesR)
 PSS009770|
South Asian Ancestry|
6,861 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: HbA1c — — Incremental R2 (full model vs. covariates alone): 0.0608 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM015803 PGS002924
(ExPRSweb_FPG_FGovertime-corrected_LASSOSUM_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: -0.0308 (0.564) — R²: 0.0004 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015806 PGS002925
(ExPRSweb_FPG_FGovertime-corrected_PT_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: -0.531 (0.592) — R²: 0.00991 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015804 PGS002926
(ExPRSweb_FPG_FGovertime-corrected_PLINK_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: 0.294 (0.661) — R²: 0.00282 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015802 PGS002927
(ExPRSweb_FPG_FGovertime-corrected_DBSLMM_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: -0.263 (0.601) — R²: 0.00714 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015805 PGS002928
(ExPRSweb_FPG_FGovertime-corrected_PRSCS_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: -0.564 (0.613) — R²: 0.00161 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015808 PGS002929
(ExPRSweb_FPG_MAGIC-FastingGlucose_LASSOSUM_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: 0.864 (0.634) — R²: 0.00726 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015811 PGS002930
(ExPRSweb_FPG_MAGIC-FastingGlucose_PT_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: 1.6 (0.657) — R²: 0.0076 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015809 PGS002931
(ExPRSweb_FPG_MAGIC-FastingGlucose_PLINK_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: 1.71 (0.658) — R²: 0.00975 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015807 PGS002932
(ExPRSweb_FPG_MAGIC-FastingGlucose_DBSLMM_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: -0.414 (0.655) — R²: 6e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015810 PGS002933
(ExPRSweb_FPG_MAGIC-FastingGlucose_PRSCS_MGI_20211120)
 PSS010004|
European Ancestry|
286 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Fasting Plasma Glucose β: 1.15 (0.65) — R²: 0.011 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015813 PGS002934
(ExPRSweb_Glucose_30740-irnt_LASSOSUM_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.52 (0.125) — R²: 0.0194 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015816 PGS002935
(ExPRSweb_Glucose_30740-irnt_PT_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.29 (0.124) — R²: 0.016 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015814 PGS002936
(ExPRSweb_Glucose_30740-irnt_PLINK_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.26 (0.124) — R²: 0.0154 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015812 PGS002937
(ExPRSweb_Glucose_30740-irnt_DBSLMM_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 1.68 (0.125) — R²: 0.0089 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015815 PGS002938
(ExPRSweb_Glucose_30740-irnt_PRSCS_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.53 (0.125) — R²: 0.0195 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015818 PGS002939
(ExPRSweb_Glucose_30740-raw_LASSOSUM_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.57 (0.132) — R²: 0.0196 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015821 PGS002940
(ExPRSweb_Glucose_30740-raw_PT_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.12 (0.129) — R²: 0.0157 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015819 PGS002941
(ExPRSweb_Glucose_30740-raw_PLINK_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.15 (0.129) — R²: 0.0159 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015817 PGS002942
(ExPRSweb_Glucose_30740-raw_DBSLMM_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 1.46 (0.125) — R²: 0.00746 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015820 PGS002943
(ExPRSweb_Glucose_30740-raw_PRSCS_MGI_20211120)
 PSS010005|
European Ancestry|
20,401 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 2.97 (0.132) — R²: 0.0243 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015823 PGS002944
(ExPRSweb_Glucose_FGovertime-corrected_LASSOSUM_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: -0.00088 (0.00289) — R²: 5.33e-07 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015826 PGS002945
(ExPRSweb_Glucose_FGovertime-corrected_PT_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.00046 (0.0029) — R²: 4.59e-07 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015824 PGS002946
(ExPRSweb_Glucose_FGovertime-corrected_PLINK_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: -0.00035 (0.0029) — R²: 1.98e-08 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015822 PGS002947
(ExPRSweb_Glucose_FGovertime-corrected_DBSLMM_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.00449 (0.00291) — R²: 2e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015825 PGS002948
(ExPRSweb_Glucose_FGovertime-corrected_PRSCS_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: -0.00129 (0.0029) — R²: 1.39e-06 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015828 PGS002949
(ExPRSweb_Glucose_MAGIC-FastingGlucose_LASSOSUM_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.084 (0.00289) — R²: 0.00479 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015831 PGS002950
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PT_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.0808 (0.00289) — R²: 0.00442 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015829 PGS002951
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PLINK_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.0808 (0.00289) — R²: 0.00442 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015827 PGS002952
(ExPRSweb_Glucose_MAGIC-FastingGlucose_DBSLMM_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.00449 (0.00291) — R²: 2e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015830 PGS002953
(ExPRSweb_Glucose_MAGIC-FastingGlucose_PRSCS_UKB_20211120)
 PSS010028|
European Ancestry|
173,111 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Glucose β: 0.0818 (0.00289) — R²: 0.00451 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM016175 PGS003336
(CVGRS_FPG)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Fasting plasma glucose β: 0.20444 — — — —
PPM016192 PGS003336
(CVGRS_FPG)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Type 2 diabetes OR: 1.46435 — — — —
PPM016176 PGS003337
(CVGRS_HbA1c)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Hemoglobin A1c level β: 0.27528 — — — —
PPM016193 PGS003337
(CVGRS_HbA1c)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Type 2 diabetes OR: 1.35007 — — — —
PPM016184 PGS003345
(ALLGRS_FPG)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Fasting plasma glucose β: 0.20689 — — — —
PPM016185 PGS003346
(ALLGRS_HbA1c)
 PSS010055|
East Asian Ancestry|
22,608 individuals
 PGP000405 |
Kim YJ et al. Nat Commun (2022)
 Reported Trait: Hemoglobin A1c level β: 0.28295 — — — —
PPM017280 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: 0.002 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017303 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: 0.023 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017348 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in obsese β: 0.025 (0.017) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017368 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in obsese β: 0.049 (0.034) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017369 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in non-obsese β: -0.007 (0.035) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017396 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index x obesity interaction β: 0.041 (1.042) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017349 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in non-obsese β: -0.016 (0.012) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017406 PGS003469
(LDPred2_HOMA_B)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea x obesity interaction β: 1.041 (0.049) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017281 PGS003470
(LDPred2_HOMA_IR)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: 0.003 (0.011) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017304 PGS003470
(LDPred2_HOMA_IR)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: 0.006 (0.025) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017277 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index β: 0.023 (0.01) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017300 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea β: 0.045 (0.024) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017346 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in obsese β: 0.027 (0.017) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017366 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in obsese β: 0.056 (0.034) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017367 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea in non-obsese β: 0.037 (0.034) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017395 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index x obesity interaction β: 0.008 (1.008) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017347 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Respiratory event index in non-obsese β: 0.025 (0.012) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017405 PGS003471
(LDPred2_HbA1c)
 PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
 PGP000456 |
Zhang Y et al. EBioMedicine (2022)
 Reported Trait: Obstructive sleep apnea x obesity interaction β: 1.042 (0.049) — — Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI —
PPM017461 PGS003533
(cont-decay-log_HbA1c)
 PSS010897|
European Ancestry|
19,078 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.12 sex, age, deprivation index, PC1-16 —
PPM017545 PGS003533
(cont-decay-log_HbA1c)
 PSS010813|
European Ancestry|
3,920 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.11 sex, age, deprivation index, PC1-16 —
PPM017629 PGS003533
(cont-decay-log_HbA1c)
 PSS010645|
European Ancestry|
6,172 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM017713 PGS003533
(cont-decay-log_HbA1c)
 PSS010561|
Greater Middle Eastern Ancestry|
1,100 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM017797 PGS003533
(cont-decay-log_HbA1c)
 PSS010225|
European Ancestry|
2,233 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.07 sex, age, deprivation index, PC1-16 —
PPM017881 PGS003533
(cont-decay-log_HbA1c)
 PSS010477|
South Asian Ancestry|
5,884 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.05 sex, age, deprivation index, PC1-16 —
PPM017965 PGS003533
(cont-decay-log_HbA1c)
 PSS010393|
East Asian Ancestry|
1,718 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM018049 PGS003533
(cont-decay-log_HbA1c)
 PSS010309|
African Ancestry|
2,089 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.02 sex, age, deprivation index, PC1-16 —
PPM018133 PGS003533
(cont-decay-log_HbA1c)
 PSS010729|
African Ancestry|
2,950 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Glycated haemoglobin (HbA1c) — — partial-R2: 0.01 sex, age, deprivation index, PC1-16 —
PPM019653 PGS003987
(dbslmm.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.0202 [0.00297807, 0.03742271] — R²: 0.00041 [0.00000887, 0.00140046] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019654 PGS003987
(dbslmm.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.1522 [0.14172414, 0.1626768] — R²: 0.02316 [0.02008573, 0.02646374] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019655 PGS003987
(dbslmm.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.14804 [0.12730836, 0.16876192] — R²: 0.02191 [0.01620742, 0.02848058] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019656 PGS003987
(dbslmm.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.18031 [0.17393503, 0.18668242] — R²: 0.0345 [0.03209972, 0.0369772] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019681 PGS004003
(lassosum.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.01939 [0.00216552, 0.03661071] — R²: 0.00038 [0.00000469, 0.00134034] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019682 PGS004003
(lassosum.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.15659 [0.14612563, 0.16706373] — R²: 0.02452 [0.0213527, 0.02791029] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019683 PGS004003
(lassosum.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.1469 [0.12616468, 0.16762536] — R²: 0.02158 [0.01591753, 0.02809826] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019684 PGS004003
(lassosum.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.18516 [0.17877662, 0.19153954] — R²: 0.03622 [0.03376864, 0.03876225] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019665 PGS004029
(ldpred2.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.03102 [0.0137992, 0.0482343] — R²: 0.00096 [0.00019, 0.00232655] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019666 PGS004029
(ldpred2.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.11223 [0.10170135, 0.12276705] — R²: 0.0126 [0.01034316, 0.01507175] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019667 PGS004029
(ldpred2.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.10588 [0.08503512, 0.12671491] — R²: 0.01121 [0.00723097, 0.01605667] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019668 PGS004029
(ldpred2.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.13529 [0.12882048, 0.14176166] — R²: 0.01914 [0.01735574, 0.02101798] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019641 PGS004044
(ldpred2.CV.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.02666 [0.00943679, 0.04387621] — R²: 0.00071 [0.0000891, 0.00192512] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019642 PGS004044
(ldpred2.CV.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.16248 [0.1520189, 0.17293684] — R²: 0.0264 [0.02310974, 0.02990715] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019643 PGS004044
(ldpred2.CV.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.15314 [0.13242664, 0.17384762] — R²: 0.02345 [0.01753681, 0.030223] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019644 PGS004044
(ldpred2.CV.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.19178 [0.18540806, 0.19815508] — R²: 0.03885 [0.03631164, 0.04147621] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019673 PGS004057
(megaprs.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.02167 [0.00444446, 0.03888804] — R²: 0.00047 [0.0000198, 0.00151228] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019674 PGS004057
(megaprs.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.16342 [0.15296397, 0.17387862] — R²: 0.02671 [0.02339798, 0.03023377] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019675 PGS004057
(megaprs.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.16331 [0.1426289, 0.18398159] — R²: 0.02667 [0.020343, 0.03384922] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019676 PGS004057
(megaprs.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.18961 [0.18324065, 0.1959698] — R²: 0.03811 [0.03559471, 0.04071179] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019669 PGS004073
(megaprs.CV.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.02487 [0.00764872, 0.04208973] — R²: 0.00062 [0.0000585, 0.00177155] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019670 PGS004073
(megaprs.CV.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.16593 [0.15548016, 0.17638591] — R²: 0.02753 [0.02417408, 0.03111199] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019671 PGS004073
(megaprs.CV.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.16274 [0.14205739, 0.18341402] — R²: 0.02648 [0.0201803, 0.0336407] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019672 PGS004073
(megaprs.CV.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.19138 [0.18502304, 0.19774227] — R²: 0.03886 [0.03631892, 0.04148397] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019677 PGS004087
(prscs.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.02279 [0.00556903, 0.04001175] — R²: 0.00052 [0.000031, 0.00160094] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019678 PGS004087
(prscs.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.1563 [0.14582935, 0.16676845] — R²: 0.02443 [0.0212662, 0.02781172] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019679 PGS004087
(prscs.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.15808 [0.13738112, 0.17876949] — R²: 0.02499 [0.01887357, 0.03195853] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019680 PGS004087
(prscs.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.17698 [0.17058817, 0.18336594] — R²: 0.03312 [0.03077336, 0.03555613] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019645 PGS004111
(pt_clump.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.00455 [-0.0126804, 0.0217709] — R²: 2e-05 [0.0, 0.000474] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019646 PGS004111
(pt_clump.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.1122 [0.10166953, 0.12273531] — R²: 0.01259 [0.01033669, 0.01506396] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019647 PGS004111
(pt_clump.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.07796 [0.05706538, 0.09885319] — R²: 0.00608 [0.00325646, 0.00977195] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019648 PGS004111
(pt_clump.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.13494 [0.12849111, 0.14139339] — R²: 0.01916 [0.01737109, 0.02103483] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019649 PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.02027 [0.00304789, 0.03749248] — R²: 0.00041 [0.00000929, 0.00140569] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019650 PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.13414 [0.12363329, 0.14464134] — R²: 0.01799 [0.01528519, 0.02092112] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019652 PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.14619 [0.13975924, 0.15261188] — R²: 0.02258 [0.02063827, 0.02460871] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019651 PGS004127
(pt_clump_nested.CV.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.12036 [0.09955043, 0.14116111] — R²: 0.01449 [0.00991029, 0.01992646] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019661 PGS004141
(sbayesr.auto.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.02812 [0.01089907, 0.04533712] — R²: 0.00079 [0.000119, 0.00205545] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019662 PGS004141
(sbayesr.auto.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.15673 [0.14625874, 0.16719639] — R²: 0.02456 [0.02139162, 0.02795463] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019663 PGS004141
(sbayesr.auto.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.14236 [0.12161776, 0.16310622] — R²: 0.02027 [0.01479088, 0.02660364] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019664 PGS004141
(sbayesr.auto.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.18408 [0.17769293, 0.19046359] — R²: 0.03577 [0.03333553, 0.03829932] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019657 PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
 PSS011242|
South Asian Ancestry|
12,948 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.035 [0.01778701, 0.05221757] — R²: 0.00123 [0.000316, 0.00272667] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019658 PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
 PSS011258|
European Ancestry|
34,192 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.17514 [0.16470577, 0.18557774] — R²: 0.03067 [0.02712799, 0.0344391] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019659 PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
 PSS011286|
South Asian Ancestry|
8,748 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.16507 [0.14440242, 0.18574277] — R²: 0.02725 [0.02085206, 0.03450038] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019660 PGS004157
(UKBB_EnsPGS.GCST007954.HbA1c)
 PSS011272|
European Ancestry|
86,050 individuals
 PGP000517 |
Monti R et al. Am J Hum Genet (2024)
 Reported Trait: Haemoglobin A1C β: 0.20758 [0.20123038, 0.21391987] — R²: 0.0456 [0.04285908, 0.04843486] 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020452 PGS004337
(X30750.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Glycated haemoglobin (mmol/mol) — — PGS R2 (no covariates): 0.26245 — —
PPM020926 PGS004701
(a1c_PRSmix_eur)
 PSS011478|
European Ancestry|
1,543 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: A1c — — Incremental R2 (Full model versus model with only covariates): 0.068 [0.044, 0.093] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020927 PGS004702
(a1c_PRSmix_sas)
 PSS011479|
South Asian Ancestry|
6,414 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: A1c — — Incremental R2 (Full model versus model with only covariates): 0.053 [0.042, 0.063] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020928 PGS004703
(a1c_PRSmixPlus_eur)
 PSS011478|
European Ancestry|
1,543 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: A1c — — Incremental R2 (Full model versus model with only covariates): 0.1 [0.071, 0.129] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020929 PGS004704
(a1c_PRSmixPlus_sas)
 PSS011479|
South Asian Ancestry|
6,414 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: A1c — — Incremental R2 (Full model versus model with only covariates): 0.071 [0.059, 0.084] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)

Evaluated Samples

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
PSS000694 — — 760 individuals — African unspecified — UKB —
PSS000695 — — 60 individuals — East Asian — UKB —
PSS000696 — — 986 individuals — European Non-British White UKB —
PSS000697 — — 337 individuals — South Asian — UKB —
PSS000698 — — 2,208 individuals — European
(British)		 — UKB —
PSS000704 — — 4,847 individuals — African unspecified — UKB —
PSS000705 — — 1,032 individuals — East Asian — UKB —
PSS000706 — — 22,518 individuals — European Non-British White UKB —
PSS000707 — — 6,895 individuals — South Asian — UKB —
PSS000708 — — 60,920 individuals — European
(British)		 — UKB —
PSS010004 GLUCOSE, FASTING; Quantitative — 286 individuals — European — MGI —
PSS009208 — — 3,930 individuals — European Poland (NE Europe) UKB —
PSS010005 GLUCOSE LEVEL (LOINC: 2345-7); Quantitative — 20,401 individuals — European — MGI —
PSS009219 — — 3,591 individuals — European Poland (NE Europe) UKB —
PSS010729 — — 2,950 individuals,
46.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS010028 Field ID: 30740; Quantitative — 173,111 individuals — European — UKB —
PSS010225 — — 2,233 individuals,
45.0 % Male samples
 Mean = 58.0 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS011242 — — 12,948 individuals — South Asian — G&H —
PSS011258 — — 34,192 individuals — European — HUNT —
PSS008762 — — 6,326 individuals — European Italy (South Europe) UKB —
PSS008773 — — 5,795 individuals — European Italy (South Europe) UKB —
PSS011272 — — 86,050 individuals — European — UKB —
PSS000813 — — 2,129 individuals — European Participants self-identifying as white MESA —
PSS000814 — — 2,002 individuals — European Participants self-identifying as white MESA —
PSS000817 — — 1,995 individuals — European Participants self-identifying as white MESA —
PSS011286 — — 8,748 individuals — South Asian — UKB —
PSS010055 — — 22,608 individuals — East Asian — KBA, KoGES —
PSS010813 — — 3,920 individuals,
38.0 % Male samples
 Mean = 54.4 years
Sd = 7.5 years		 European Polish UKB —
PSS011478 — — 1,543 individuals — European — AllofUs —
PSS011479 — — 6,414 individuals — South Asian — G&H —
PSS010309 — — 2,089 individuals,
37.0 % Male samples
 Mean = 52.4 years
Sd = 8.0 years		 African American or Afro-Caribbean Caribbean UKB —
PSS008314 — — 5,936 individuals — South Asian India (South Asia) UKB —
PSS008325 — — 5,481 individuals — South Asian India (South Asia) UKB —
PSS000234 Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes Range = [10.0, 15.0] years
[
  • 262 cases
  • , 1,644 controls
]
,
37.93 % Male samples
 Mean = 57.4 years
Sd = 7.43 years		 African unspecified — ARIC, MESA Partial overlap with discovery GWAS
PSS000235 Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes Range = [10.0, 15.0] years
[
  • 2,391 cases
  • , 2,682 controls
]
,
47.45 % Male samples
 Mean = 55.6 years
Sd = 7.37 years		 East Asian — MESA, SCHS Partial overlap with discovery GWAS
PSS000236 Incident type 2 diabtes defined as fasting glucose >= 7 mmol/L, 2 hour glucose >= 11.1 mmol/L, antidiabetic medication use, or a physician diagnosis of type 2 diabetes Range = [10.0, 15.0] years
[
  • 13,145 cases
  • , 24,212 controls
]
,
43.47 % Male samples
 Mean = 54.63 years
Sd = 8.27 years		 European — ARIC, FHS, InterAct, MESA Partial overlap with discovery GWAS
PSS010897 — — 19,078 individuals,
46.0 % Male samples
 Mean = 56.8 years
Sd = 7.9 years		 European white British UKB —
PSS010393 — — 1,718 individuals,
33.0 % Male samples
 Mean = 52.5 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS007878 — — 2,100 individuals — African American or Afro-Caribbean Carribean UKB —
PSS007889 — — 2,159 individuals — African American or Afro-Caribbean Carribean UKB —
PSS009434 — — 19,060 individuals — European UK (+ Ireland) UKB —
PSS009445 — — 17,440 individuals — European UK (+ Ireland) UKB —
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls —
[
  • 2,853 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS010477 — — 5,884 individuals,
54.0 % Male samples
 Mean = 53.4 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS008982 — — 2,976 individuals — African unspecified Nigeria (West Africa) UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS008993 — — 3,397 individuals — African unspecified Nigeria (West Africa) UKB —
PSS003585 — — 16,579 individuals — African American or Afro-Caribbean — 10 cohorts
  • ARIC
  • ,BioMe
  • ,CHS
  • ,FamHS
  • ,GENOA
  • ,GeneSTAR
  • ,HANDLS
  • ,JHS
  • ,MESA
  • ,WHI
 —
PSS003586 — — 31,669 individuals — East Asian
(Japanese, Chinese, Malay, Filipino, Han Chinese)		 — 13 cohorts
  • AASC
  • ,CAGE
  • ,CHNS
  • ,CLHNS
  • ,CRC
  • ,KARE
  • ,Living-Biobank
  • ,MESA
  • ,NHAPC
  • ,Nagahama_Study
  • ,SBCS
  • ,SMHS
  • ,SP2
 —
PSS003587 — — 45,038 individuals — European — ARIC, LifeLines, METSIM, TwinGene Additional cases and controls were obtained from Fenland-OMICS.
PSS003591 — — 6,647 individuals — African American or Afro-Caribbean — ARIC, BioMe, HANDLS, JHS, MESA —
PSS003592 — — 4,441 individuals — Sub-Saharan African
(Ugandan)		 — NR —
PSS003593 — — 31,236 individuals — East Asian
(Japanese, Chinese, Malay, Han Chinese)		 — 15 cohorts
  • AASC
  • ,BES
  • ,CAGE
  • ,CHNS
  • ,CRC
  • ,KARE
  • ,Living-Biobank
  • ,MESA
  • ,NHAPC
  • ,Nagahama_Study
  • ,SBCS
  • ,SCES
  • ,SIMES
  • ,SP2
  • ,TWSC
 —
PSS003594 — — 61,820 individuals — European — EPIC, InterAct, LifeLines, METSIM, WGHS —
PSS009755 — — 5,505 individuals — African unspecified — UKB —
PSS009756 — — 794 individuals — East Asian — UKB —
PSS009757 — — 37,281 individuals — European Non-British European UKB —
PSS009758 — — 6,744 individuals — South Asian — UKB —
PSS008536 — — 1,128 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009767 — — 4,803 individuals — African unspecified — UKB —
PSS009768 — — 841 individuals — East Asian — UKB —
PSS009769 — — 38,991 individuals — European Non-British European UKB —
PSS009770 — — 6,861 individuals — South Asian — UKB —
PSS008547 — — 1,034 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS010561 — — 1,100 individuals,
60.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS000371 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). — 288 individuals,
69.2 % Male samples
 Mean = 15.83 years
Sd = 0.6 years		 European — TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS007151 — — 5,651 individuals — African unspecified — UKB —
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). — 1,354 individuals,
47.56 % Male samples
 Mean = 16.22 years
Sd = 0.66 years		 European — TRAILS —
PSS010185 — — 1,115 individuals,
41.1 % Male samples
 Mean = 46.18 years Hispanic or Latin American — HCHS, SOL —
PSS007152 — — 1,474 individuals — East Asian — UKB —
PSS007153 — — 21,725 individuals — European non-white British ancestry UKB —
PSS007155 — — 59,031 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS007154 — — 6,787 individuals — South Asian — UKB —
PSS007156 — — 5,219 individuals — African unspecified — UKB —
PSS007157 — — 1,622 individuals — East Asian — UKB —
PSS007158 — — 23,762 individuals — European non-white British ancestry UKB —
PSS007159 — — 7,345 individuals — South Asian — UKB —
PSS007160 — — 64,432 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls —
[
  • 450 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls —
[
  • 1,125 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls —
[
  • 1,372 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls —
[
  • 1,186 cases
  • , 2,744 controls
]
 — European Swedish ANDIS —
PSS008091 — — 1,731 individuals — East Asian China (East Asia) UKB —
PSS008102 — — 1,562 individuals — East Asian China (East Asia) UKB —
PSS010645 — — 6,172 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —