| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0006842 | Trait category |
Other measurement
|
| Child trait(s) | 11 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| 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 |
| 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 |
| PGS000308 (GRS12_FIadjBMI) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Fasting insulin (body mass index adjusted) | BMI-adjusted fasting blood insulin measurement | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000308/ScoringFiles/PGS000308.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 |
| 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 |
| PGS000834 (CIR) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Corrected insulin response (at 30mins during OGTT) | insulin response measurement | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000834/ScoringFiles/PGS000834.txt.gz |
| PGS000837 (ISI) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Insulin sensitivity index | insulin sensitivity measurement | 219 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000837/ScoringFiles/PGS000837.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 |
| PGS000840 (Fasting_Proinsulin) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Fasting Proinsulin | proinsulin measurement | 223 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000840/ScoringFiles/PGS000840.txt.gz |
| PGS001117 (GBE_BIN_FC10002986) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Started insulin within one year diagnosis of diabetes | insulin use measurement | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001117/ScoringFiles/PGS001117.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 |
| 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 | |
| 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 |
| 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. Nature (2023) |
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 |
| PGS005276 (FI_PS_EUR) |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Fasting insulin adjusted for BMI | BMI-adjusted fasting blood insulin measurement | 1,116,555 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005276/ScoringFiles/PGS005276.txt.gz | |
| PGS005277 (FI_PS_AFR) |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Fasting insulin adjusted for BMI | BMI-adjusted fasting blood insulin measurement | 1,233,791 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005277/ScoringFiles/PGS005277.txt.gz | |
| PGS005278 (FI_PS_AMR) |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Fasting insulin adjusted for BMI | BMI-adjusted fasting blood insulin measurement | 1,182,208 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005278/ScoringFiles/PGS005278.txt.gz | |
| PGS005392 (Q-PGS4_r0.2_p5e4) |
PGP000777 | Aliyu U et al. Front Endocrinol (Lausanne) (2024) |
HOMA2-IR | HOMA-IR | 1,414 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005392/ScoringFiles/PGS005392.txt.gz |
| PGS019794 (TPMI_FG_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Fasting glucose | glucose measurement | 16,095 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019794/ScoringFiles/PGS019794.txt.gz | |
| PGS019796 (TPMI_HbA1c_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Glycated hemoglobin | HbA1c measurement | 26,072 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019796/ScoringFiles/PGS019796.txt.gz | |
| PGS019818 (TPMI_FG_LDPred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Fasting glucose | glucose measurement | 939,736 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019818/ScoringFiles/PGS019818.txt.gz | |
| PGS019820 (TPMI_HbA1c_LDPred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Glycated hemoglobin | HbA1c measurement | 939,718 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019820/ScoringFiles/PGS019820.txt.gz | |
| PGS019842 (TPMI_FG_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Fasting glucose | glucose measurement | 983,717 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019842/ScoringFiles/PGS019842.txt.gz | |
| PGS019844 (TPMI_HbA1c_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Glycated hemoglobin | HbA1c measurement | 983,709 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019844/ScoringFiles/PGS019844.txt.gz | |
| PGS019866 (TPMI_FG_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Fasting glucose | glucose measurement | 437,990 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019866/ScoringFiles/PGS019866.txt.gz | |
| PGS019868 (TPMI_HbA1c_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Glycated hemoglobin | HbA1c measurement | 632,423 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019868/ScoringFiles/PGS019868.txt.gz | |
| PGS019890 (TPMI_FG_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Fasting glucose | glucose measurement | 466,322 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019890/ScoringFiles/PGS019890.txt.gz | |
| PGS019892 (TPMI_HbA1c_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Glycated hemoglobin | HbA1c measurement | 83,746 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019892/ScoringFiles/PGS019892.txt.gz | |
| PGS019911 (TPMI_FG_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Fasting glucose | glucose measurement | 1,071,465 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019911/ScoringFiles/PGS019911.txt.gz | |
| PGS019912 (TPMI_HbA1c_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Glycated hemoglobin | HbA1c measurement | 1,071,470 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019912/ScoringFiles/PGS019912.txt.gz | |
| PGS019958 (GRS122_HbA1c) |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
HbA1c | HbA1c measurement | 122 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019958/ScoringFiles/PGS019958.txt.gz |
| PGS019959 (GRS14_HbA1c) |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
HbA1c | HbA1c measurement | 14 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019959/ScoringFiles/PGS019959.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| 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 | — |
| 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 | — |
| PPM000778 | PGS000308 (GRS12_FIadjBMI) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Fasting insulin (mU/I) | — | — | R²: 0.0069 | 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 | — |
| PPM002253 | PGS000834 (CIR) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.98 [0.89, 1.08] | — | — | PC1-10 | — |
| PPM002254 | PGS000834 (CIR) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.76 [0.71, 0.82] | — | — | PC1-10 | — |
| PPM002255 | PGS000834 (CIR) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002256 | PGS000834 (CIR) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 0.79 [0.74, 0.85] | — | — | PC1-10 | — |
| PPM002257 | PGS000834 (CIR) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.82 [0.77, 0.86] | — | — | PC1-10 | — |
| PPM020169 | PGS000834 (CIR) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 0.72 [0.6, 0.85] | — | — | age, sex and BMI | — |
| PPM020189 | PGS000834 (CIR) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 0.86 [0.75, 0.99] | — | — | sex | — |
| PPM020198 | PGS000834 (CIR) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 0.85 [0.73, 1.0] | — | — | sex | — |
| PPM002268 | PGS000837 (ISI) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.92 [0.83, 1.01] | — | — | PC1-10 | — |
| PPM002269 | PGS000837 (ISI) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.93 [0.86, 0.99] | — | — | PC1-10 | — |
| PPM002270 | PGS000837 (ISI) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.84 [0.79, 0.91] | — | — | PC1-10 | — |
| PPM002271 | PGS000837 (ISI) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 0.88 [0.82, 0.94] | — | — | PC1-10 | — |
| PPM002272 | PGS000837 (ISI) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.0] | — | — | PC1-10 | — |
| PPM020179 | PGS000837 (ISI) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: HOMA2IR | β: -0.09902 (0.047574) | — | — | — | — |
| 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 | — |
| PPM002283 | PGS000840 (Fasting_Proinsulin) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.91 [0.82, 1.01] | — | — | PC1-10 | — |
| PPM002285 | PGS000840 (Fasting_Proinsulin) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002286 | PGS000840 (Fasting_Proinsulin) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.06 [1.0, 1.14] | — | — | PC1-10 | — |
| PPM002287 | PGS000840 (Fasting_Proinsulin) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.07 [1.01, 1.12] | — | — | PC1-10 | — |
| PPM002284 | PGS000840 (Fasting_Proinsulin) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.11 [1.04, 1.19] | — | — | PC1-10 | — |
| PPM008323 | PGS001117 (GBE_BIN_FC10002986) |
PSS003731| African Ancestry| 705 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.6057 [0.54935, 0.66205] | R²: 0.03335 Incremental AUROC (full-covars): 0.01803 PGS R2 (no covariates): 0.00453 PGS AUROC (no covariates): 0.54401 [0.48567, 0.60235] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008324 | PGS001117 (GBE_BIN_FC10002986) |
PSS003732| East Asian Ancestry| 86 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.71573 [0.51412, 0.91734] | R²: 0.15018 Incremental AUROC (full-covars): -0.09668 PGS R2 (no covariates): 0.11116 PGS AUROC (no covariates): 0.29582 [0.14557, 0.44606] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008325 | PGS001117 (GBE_BIN_FC10002986) |
PSS003733| European Ancestry| 1,089 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.80203 [0.75876, 0.8453] | R²: 0.28861 Incremental AUROC (full-covars): 0.05722 PGS R2 (no covariates): 0.17586 PGS AUROC (no covariates): 0.72657 [0.67703, 0.77611] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008326 | PGS001117 (GBE_BIN_FC10002986) |
PSS003734| South Asian Ancestry| 1,358 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.62878 [0.57833, 0.67923] | R²: 0.03294 Incremental AUROC (full-covars): 0.02324 PGS R2 (no covariates): 0.01621 PGS AUROC (no covariates): 0.58662 [0.53076, 0.64248] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008327 | PGS001117 (GBE_BIN_FC10002986) |
PSS003735| European Ancestry| 3,243 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.74056 [0.71173, 0.76938] | R²: 0.17764 Incremental AUROC (full-covars): 0.0941 PGS R2 (no covariates): 0.12982 PGS AUROC (no covariates): 0.71086 [0.68153, 0.74018] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| 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 | — |
| PPM022514 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS011977| European Ancestry| 4,424 individuals |
PGP000721 | Sadler MC et al. Nat Commun (2025) |Ext. |
Reported Trait: HbA1c response to metformin (absolute difference) | β: 0.382 (0.246) | — | — | sex, age and drug-specific covariates | beta unit = mmol/mol |
| PPM022515 | PGS002171 (portability-ldpred2_log_HbA1c) |
PSS011977| European Ancestry| 4,424 individuals |
PGP000721 | Sadler MC et al. Nat Commun (2025) |Ext. |
Reported Trait: HbA1c response to metformin (relative logarithmic difference) | β: 1.003 (0.352) | — | — | sex, age and drug-specific covariates | beta unit = % |
| 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 | — |
| 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 | — |
| 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 | — | — | — | — |
| 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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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. Nature (2023) |
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) |
| PPM022760 | PGS005276 (FI_PS_EUR) |
PSS012072| European Ancestry| 13,712 individuals |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Reported Trait: Homeostasis Model Assessment for Insulin Resistance [HOMA-IR] | β: 0.237 | — | R²: 0.1076 | age, sex, study, BMI, and the first 11 genetic principal components | Score was standardized |
| PPM022761 | PGS005277 (FI_PS_AFR) |
PSS012073| African Ancestry| 4,695 individuals |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Reported Trait: Homeostasis Model Assessment for Insulin Resistance [HOMA-IR] | β: 0.129 | — | R²: 0.0172 | age, sex, study, BMI, and the first 11 genetic principal components | Score was standardized |
| PPM022762 | PGS005278 (FI_PS_AMR) |
PSS012074| Hispanic or Latin American Ancestry| 1,693 individuals |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Reported Trait: Homeostasis Model Assessment for Insulin Resistance [HOMA-IR] | β: 0.033 | — | R²: 0.0028 | age, sex, study, BMI, and the first 11 genetic principal components | Score was standardized |
| PPM023434 | PGS005392 (Q-PGS4_r0.2_p5e4) |
PSS012180| Greater Middle Eastern Ancestry| 4,047 individuals |
PGP000777 | Aliyu U et al. Front Endocrinol (Lausanne) (2024) |
Reported Trait: HOMA2-IR | — | — | R²: 0.233 | gender, age, BMI and PC1 to PC10 | — |
| PPM037976 | PGS019794 (TPMI_FG_Lassosum2) |
PSS013719| East Asian Ancestry| 8,213 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Fasting glucose | — | AUROC: 0.84302 | R²: 0.0602 | sex, age, array, PCs 1-10 | — |
| PPM037978 | PGS019796 (TPMI_HbA1c_Lassosum2) |
PSS013750| East Asian Ancestry| 7,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glycated hemoglobin | — | AUROC: 0.81498 | R²: 0.05803 | sex, age, array, PCs 1-10 | — |
| PPM038000 | PGS019818 (TPMI_FG_LDPred2) |
PSS013718| East Asian Ancestry| 8,213 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Fasting glucose | — | AUROC: 0.71079 | R²: 0.06622 | sex, age, array, PCs 1-10 | — |
| PPM038002 | PGS019820 (TPMI_HbA1c_LDPred2) |
PSS013749| East Asian Ancestry| 7,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glycated hemoglobin | — | AUROC: 0.87892 | R²: 0.06932 | sex, age, array, PCs 1-10 | — |
| PPM038024 | PGS019842 (TPMI_FG_PRS-CS) |
PSS013721| East Asian Ancestry| 8,213 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Fasting glucose | — | — | R²: 0.0667 | sex, age, array, PCs 1-10 | — |
| PPM038026 | PGS019844 (TPMI_HbA1c_PRS-CS) |
PSS013752| East Asian Ancestry| 7,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glycated hemoglobin | — | — | R²: 0.07163 | sex, age, array, PCs 1-10 | — |
| PPM038048 | PGS019866 (TPMI_FG_SBayesR) |
PSS013723| East Asian Ancestry| 8,213 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Fasting glucose | — | AUROC: 0.69308 | R²: 0.00594 | sex, age, array, PCs 1-10 | — |
| PPM038050 | PGS019868 (TPMI_HbA1c_SBayesR) |
PSS013754| East Asian Ancestry| 7,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glycated hemoglobin | — | AUROC: 0.70717 | R²: 0.05996 | sex, age, array, PCs 1-10 | — |
| PPM038072 | PGS019890 (TPMI_FG_MegaPRS) |
PSS013720| East Asian Ancestry| 8,213 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Fasting glucose | — | AUROC: 0.73833 | R²: 0.03859 | sex, age, array, PCs 1-10 | — |
| PPM038074 | PGS019892 (TPMI_HbA1c_MegaPRS) |
PSS013751| East Asian Ancestry| 7,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glycated hemoglobin | — | AUROC: 0.75988 | R²: 0.04648 | sex, age, array, PCs 1-10 | — |
| PPM038093 | PGS019911 (TPMI_FG_PRSmix+) |
PSS013722| East Asian Ancestry| 8,213 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Fasting glucose | — | AUROC: 0.68243 | R²: 0.09613 | sex, age, array, PCs 1-10 | — |
| PPM038094 | PGS019912 (TPMI_HbA1c_PRSmix+) |
PSS013753| East Asian Ancestry| 7,549 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Glycated hemoglobin | — | AUROC: 0.68199 | R²: 0.09992 | sex, age, array, PCs 1-10 | — |
| PPM038158 | PGS019958 (GRS122_HbA1c) |
PSS013851| European Ancestry| 16,682 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: HbA1c in G6PD non-carriets | β: 0.06 (0.01) | — | — | age, sex, diabetes status, and 10 principal components | — |
| PPM038159 | PGS019958 (GRS122_HbA1c) |
PSS013850| African Ancestry| 6,672 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: HbA1c | β: 0.05 (0.02) | — | — | age, sex, and 10 principal components | — |
| PPM038160 | PGS019958 (GRS122_HbA1c) |
PSS013850| African Ancestry| 6,672 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: HbA1c in G6PD non-carriets | β: 0.05 (0.02) | — | — | age, sex, and 10 principal components | — |
| PPM038164 | PGS019958 (GRS122_HbA1c) |
PSS013852| Multi-ancestry (including European)| 29,828 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: Diabetic retinopathy in diabetes | OR: 0.82 (0.09) | — | — | age, sex, ancestry PC, retinopathy risk factors, measured HbA1c | — |
| PPM038161 | PGS019959 (GRS14_HbA1c) |
PSS013850| African Ancestry| 6,672 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: HbA1c | β: 0.04 (0.02) | — | — | age, sex, diabetes status, and 10 principal components | — |
| PPM038162 | PGS019959 (GRS14_HbA1c) |
PSS013850| African Ancestry| 6,672 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: HbA1c in G6PD non-carriets | β: 0.05 (0.02) | — | — | age, sex, diabetes status, and 10 principal components | — |
| PPM038163 | PGS019959 (GRS14_HbA1c) |
PSS013853| African Ancestry| 26,546 individuals |
PGP000848 | Mandla R et al. Diabetes Care (2024) |
Reported Trait: Diabetic retinopathy in diabetes | OR: 0.41 (0.33) | — | — | age, sex, ancestry PC, retinopathy risk factors | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012073 | — | — | 4,695 individuals | — | African American or Afro-Caribbean | — | TOPMed | — |
| PSS012074 | — | — | 1,693 individuals | — | Hispanic or Latin American | — | TOPMed | — |
| 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 | — |
| 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 | — |
| PSS010225 | — | — | 2,233 individuals, 45.0 % Male samples |
Mean = 58.0 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS003731 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003732 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003733 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003734 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003735 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| 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 | — |
| PSS011301 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011302 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011303 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| 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 | [ ,
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 | [ ,
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 | [ ,
43.47 % Male samples |
Mean = 54.63 years Sd = 8.27 years |
European | — | ARIC, FHS, InterAct, MESA | Partial overlap with discovery GWAS |
| PSS011977 | — | — | 4,424 individuals | — | European (British) |
— | UKB | — |
| 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 | — |
| PSS013850 | — | — | 6,672 individuals | — | African unspecified | — | AllofUs | — |
| PSS009434 | — | — | 19,060 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS013718 | — | — | 8,213 individuals, 47.29 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013719 | — | — | 8,213 individuals, 47.29 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013720 | — | — | 8,213 individuals, 47.29 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013721 | — | — | 8,213 individuals, 47.29 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013722 | — | — | 8,213 individuals, 47.29 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013723 | — | — | 8,213 individuals, 47.29 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009445 | — | — | 17,440 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS013749 | — | — | 7,549 individuals, 49.33 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013750 | — | — | 7,549 individuals, 49.33 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013751 | — | — | 7,549 individuals, 49.33 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013752 | — | — | 7,549 individuals, 49.33 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013753 | — | — | 7,549 individuals, 49.33 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013754 | — | — | 7,549 individuals, 49.33 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. 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 | — |
| 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
|
— |
| PSS003594 | — | — | 61,820 individuals | — | European | — | EPIC, InterAct, LifeLines, METSIM, WGHS | — |
| PSS012180 | — | — | 4,047 individuals, 42.5 % Male samples |
Mean = 37.8 years Sd = 12.1 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| 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 | — | [
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— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
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— | 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 | — |
| PSS013851 | — | — | 16,682 individuals | — | European | — | AllofUs | — |
| PSS013852 | — | — | 3,282 individuals | — | European | — | AllofUs, UKB | — |
| PSS013852 | — | — | 26,546 individuals | — | African unspecified | — | AllofUs, UKB | — |
| PSS013853 | — | — | 26,546 individuals | — | African unspecified | — | AllofUs, UKB | — |
| PSS012072 | — | — | 13,712 individuals | — | European | — | TOPMed | — |