PGS Catalog - type 2 diabetes mellitus [MONDO:0005148] (Polygenic Trait)

Trait: type 2 diabetes mellitus

Trait Information
Identifier	MONDO_0005148
Description	A type of diabetes mellitus that is characterized by insulin resistance or desensitization and increased blood glucose levels. This is a chronic disease that can develop gradually over the life of a patient and can be linked to both environmental factors and heredity. [NCIT: P378]
Trait categories	Digestive system disorder Metabolic disorder
Synonyms	35 synonyms NIDDM T2D T2DM T2DM - type 2 diabetes mellitus adult onset diabetes adult-onset diabetes diabetes mellitis type 2 diabetes mellitis type II diabetes mellitus, non-insulin-dependent, susceptibility to diabetes mellitus, noninsulin-dependent diabetes mellitus, noninsulin-dependent, 2 diabetes mellitus, noninsulin-dependent, association with diabetes mellitus, noninsulin-dependent, late onset diabetes mellitus, noninsulin-dependent, susceptibility to diabetes mellitus, type 2 diabetes mellitus, type 2, protection against diabetes mellitus, type 2, susceptibility to diabetes mellitus, type II diabetes mellitus, type II, susceptibility to diabetes, type 2 hypertension, insulin resistance-related, susceptibility to insulin resistance, severe, digenic insulin resistance, susceptibility to maturity-onset diabetes non-insulin dependent diabetes non-insulin dependent diabetes mellitus non-insulin-dependent diabetes mellitus noninsulin dependent diabetes noninsulin-dependent diabetes mellitus type 2 diabetes type 2 diabetes mellitus type 2 diabetes mellitus non-insulin dependent type 2 diabetes mellitus, susceptibility to type II diabetes type II diabetes mellitus
Mapped terms	9 mapped terms DOID:9352 MEDGEN:41523 MESH:D003924 NANDO:2200461 NCIT:C26747 OMIM:125853 SCTID:44054006 UMLS:C0011860 icd11.foundation:119724091

Associated Polygenic Score(s)

Polygenic Score ID & Name	PGS Publication ID (PGP)	Reported Trait	Mapped Trait(s) (Ontology)	Number of Variants	Ancestry distribution GWAS Dev Eval	Scoring File (FTP Link)
PGS000014 (GPS_T2D)	PGP000006 \| Khera AV et al. Nat Genet (2018)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,917,436		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz - Check Terms/Licenses
PGS000020 (dGRS1000)	PGP000010 \| Läll K et al. Genet Med (2016)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	7,502	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz
PGS000031 (GRSt)	PGP000020 \| Vassy JL et al. Diabetes (2014)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	62	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz
PGS000032 (GRSB)	PGP000020 \| Vassy JL et al. Diabetes (2014)	Type 2 diabetes (based on SNPs involved in β-cell function)	type 2 diabetes mellitus	20	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz
PGS000033 (GRSIR)	PGP000020 \| Vassy JL et al. Diabetes (2014)	Type 2 diabetes (based on SNPs involved in insulin resistance)	type 2 diabetes mellitus	10	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz
PGS000036 (gePS_T2D)	PGP000023 \| Mahajan A et al. Nat Genet (2018)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	171,249		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz
PGS000125 (Qi_T2D_2017)	PGP000062 \| Qi Q et al. Diabetes (2017)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	80	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz
PGS000330 (PRS_T2D)	PGP000100 \| Mars N et al. Nat Med (2020)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,437,380		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz
PGS000712 (T2D_HbA1c_39)	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	T2D (cases vs HbA1c filtered controls)	type 2 diabetes mellitus	183,695	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz - Check Terms/Licenses
PGS000713 (T2D)	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	183,830	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz - Check Terms/Licenses
PGS000729 (T2D_PGS)	PGP000137 \| Ritchie SC et al. Nat Metab (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	2,017,388	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz
PGS000804 (GRS582_T2Dmulti)	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	582	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz - Check Terms/Licenses
PGS000805 (GRS582_T2Deur)	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	582	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz - Check Terms/Licenses
PGS000806 (GRS582_T2Dafr)	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	582	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz - Check Terms/Licenses
PGS000807 (GRS582_T2Dasn)	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	582	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz - Check Terms/Licenses
PGS000808 (GRS582_T2Dhis)	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	582	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz - Check Terms/Licenses
PGS000832 (T2D-GRS)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	384	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz
PGS000848 (T2D_Adiposity)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with adiposity)	type 2 diabetes mellitus	6	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz
PGS000849 (T2D_Impaired_Lipids)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with impaired lipids)	type 2 diabetes mellitus	3	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz
PGS000850 (T2D_Insulin_Action)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with insulin action)	type 2 diabetes mellitus	16	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz
PGS000851 (T2D_Insulin_Action_Secretion)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with insulin action/secretion)	type 2 diabetes mellitus	37	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz
PGS000852 (T2D_Insulin_Secretion_1)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with insulin secretion)	type 2 diabetes mellitus	8	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz
PGS000853 (T2D_Insulin_Secretion_2)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with insulin secretion)	type 2 diabetes mellitus	21	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz
PGS000854 (T2D_BetaCell)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with beta cell function)	type 2 diabetes mellitus	27	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz
PGS000855 (T2D_Lipodystrophy)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with lipodystrophy)	type 2 diabetes mellitus	18	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz
PGS000856 (T2D_LiverLipids)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with liver lipids)	type 2 diabetes mellitus	3	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz
PGS000857 (T2D_Obesity)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with obesity)	type 2 diabetes mellitus	4	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz
PGS000858 (T2D_Proinsulin)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (based on SNPs associated with proinsulin levels)	type 2 diabetes mellitus	6	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz
PGS000864 (T2D-gPRS)	PGP000211 \| Aly DM et al. Nat Genet (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	389,243	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz
PGS000868 (T2D_221)	PGP000214 \| Aksit MA et al. J Clin Endocrinol Metab (2020)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	221	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz
PGS001294 (GBE_HC649)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Non-insulin-dependent diabetes (time-to-event)	type 2 diabetes mellitus	3,496	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz
PGS001295 (GBE_HC165)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	385	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz
PGS001357 (T2D_AnnoPred_PRS)	PGP000252 \| Ye Y et al. Circ Genom Precis Med (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	2,996,761		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz
PGS001781 (T2D_PRSCS)	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,091,673	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz
PGS001818 (portability-PLR_250.2)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	30,745	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz
PGS002026 (portability-ldpred2_250.2)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	830,783	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz
PGS002243 (ldpred_t2d)	PGP000271 \| Mars N et al. Cell Genom (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,431,973		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz
PGS002277 (pPS_Insulin_secretion_1)	PGP000305 \| Siddiqui MK et al. Diabetologia (2022)	Type 2 diabetes (based on SNPs associated with insulin secretion)	type 2 diabetes mellitus	8	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002277/ScoringFiles/PGS002277.txt.gz
PGS002308 (PRScsx_T2D)	PGP000331 \| Ge T et al. Genome Med (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,259,754	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz
PGS002354 (disease_T2D.BOLT-LMM)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,109,311	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz
PGS002379 (disease_T2D.BOLT-LMM-BBJ)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	920,930	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz
PGS002426 (disease_T2D.P+T.0.0001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	3,947	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz
PGS002475 (disease_T2D.P+T.0.001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	16,275	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz
PGS002524 (disease_T2D.P+T.0.01)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	95,287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz
PGS002573 (disease_T2D.P+T.1e-06)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	673	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz
PGS002622 (disease_T2D.P+T.5e-08)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	293	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz
PGS002671 (disease_T2D.PolyFun-pred)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	258,382	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz
PGS002720 (disease_T2D.SBayesR)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	911,809	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz
PGS002733 (GRS17_T2D)	PGP000342 \| Pezzilli S et al. Diabetes Metab (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	17	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz
PGS002771 (Type_2_diabetes_prscs)	PGP000364 \| Mars N et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,091,608	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002771/ScoringFiles/PGS002771.txt.gz
PGS002779 (GTG_T2D_maxCT)	PGP000365 \| Wong CK et al. PLoS One (2022)	Incident type 2 diabetes	type 2 diabetes mellitus	46,353		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002779/ScoringFiles/PGS002779.txt.gz - Check Terms/Licenses
PGS002780 (GTG_T2D_SCT)	PGP000365 \| Wong CK et al. PLoS One (2022)	Incident type 2 diabetes	type 2 diabetes mellitus	419,209		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002780/ScoringFiles/PGS002780.txt.gz - Check Terms/Licenses
PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	488,969		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003089/ScoringFiles/PGS003089.txt.gz
PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,888		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003090/ScoringFiles/PGS003090.txt.gz
PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	2,707		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003091/ScoringFiles/PGS003091.txt.gz
PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	10,304,000		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003092/ScoringFiles/PGS003092.txt.gz
PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003093/ScoringFiles/PGS003093.txt.gz
PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	266,890		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003094/ScoringFiles/PGS003094.txt.gz
PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	45		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003095/ScoringFiles/PGS003095.txt.gz
PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	46		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003096/ScoringFiles/PGS003096.txt.gz
PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	229		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003097/ScoringFiles/PGS003097.txt.gz
PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,116,101		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003098/ScoringFiles/PGS003098.txt.gz
PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	555,512		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003099/ScoringFiles/PGS003099.txt.gz
PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	5,693		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003100/ScoringFiles/PGS003100.txt.gz
PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	5,693		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003101/ScoringFiles/PGS003101.txt.gz
PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	5,052,574		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003102/ScoringFiles/PGS003102.txt.gz
PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	945,820		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003103/ScoringFiles/PGS003103.txt.gz
PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	374,510		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003104/ScoringFiles/PGS003104.txt.gz
PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	187		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003105/ScoringFiles/PGS003105.txt.gz
PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	187		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003106/ScoringFiles/PGS003106.txt.gz
PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	995		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003107/ScoringFiles/PGS003107.txt.gz
PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,118,480		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003108/ScoringFiles/PGS003108.txt.gz
PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	311,565		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003109/ScoringFiles/PGS003109.txt.gz
PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	118		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003110/ScoringFiles/PGS003110.txt.gz
PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	143		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003111/ScoringFiles/PGS003111.txt.gz
PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	222		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003112/ScoringFiles/PGS003112.txt.gz
PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,117,087		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003113/ScoringFiles/PGS003113.txt.gz
PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	555,528		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003114/ScoringFiles/PGS003114.txt.gz
PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	31,462		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003115/ScoringFiles/PGS003115.txt.gz
PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	31,462		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003116/ScoringFiles/PGS003116.txt.gz
PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	5,052,993		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003117/ScoringFiles/PGS003117.txt.gz
PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	945,921		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003118/ScoringFiles/PGS003118.txt.gz
PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	407,553		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003119/ScoringFiles/PGS003119.txt.gz
PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	193		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003120/ScoringFiles/PGS003120.txt.gz
PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	193		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003121/ScoringFiles/PGS003121.txt.gz
PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	264		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003122/ScoringFiles/PGS003122.txt.gz
PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,119,522		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003123/ScoringFiles/PGS003123.txt.gz
PGS003353 (GRS_T2D)	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003353/ScoringFiles/PGS003353.txt.gz
PGS003402 (PRS_T2D)	PGP000419 \| Lamri A et al. Elife (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,838		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003402/ScoringFiles/PGS003402.txt.gz
PGS003443 (PRScsx_T2D_LAT_EURweights)	PGP000445 \| Huerta-Chagoya A et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,092,496		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003443/ScoringFiles/PGS003443.txt.gz
PGS003444 (PRScsx_T2D_LAT_EASweights)	PGP000445 \| Huerta-Chagoya A et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,001,579		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003444/ScoringFiles/PGS003444.txt.gz
PGS003445 (PRScsx_T2D_LAT_LATweights)	PGP000445 \| Huerta-Chagoya A et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,149,210		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003445/ScoringFiles/PGS003445.txt.gz
PGS003728 (PS_T2D_183-AGEN)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	183	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003728/ScoringFiles/PGS003728.txt.gz
PGS003729 (PS_T2D_293-DIAGRAM)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	293	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003729/ScoringFiles/PGS003729.txt.gz
PGS003730 (PS_T2D_287-DIAMANTE)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003730/ScoringFiles/PGS003730.txt.gz
PGS003731 (PS_T2D_282-SAS-DIAMANTE)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	282	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003731/ScoringFiles/PGS003731.txt.gz
PGS003732 (PS_T2D_287-HIS-DIAMANTE)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003732/ScoringFiles/PGS003732.txt.gz
PGS003733 (PS_T2D_287-EUR-DIAMANTE)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003733/ScoringFiles/PGS003733.txt.gz
PGS003734 (PS_T2D_280-EAS-DIAMANTE)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	280	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003734/ScoringFiles/PGS003734.txt.gz
PGS003735 (PS_T2D_276-AFR-DIAMANTE)	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	276	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003735/ScoringFiles/PGS003735.txt.gz
PGS003751 (ModelT2D_over45)	PGP000472 \| Shoaib M et al. Genet Epidemiol (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	354		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003751/ScoringFiles/PGS003751.txt.gz
PGS003752 (ModelT2D)	PGP000472 \| Shoaib M et al. Genet Epidemiol (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	333		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003752/ScoringFiles/PGS003752.txt.gz
PGS003867 (T2D_PRScs_ARB)	PGP000501 \| Shim I et al. Nature Communications (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,068,166	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003867/ScoringFiles/PGS003867.txt.gz
PGS003982 (dbslmm.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,071,764		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003982/ScoringFiles/PGS003982.txt.gz
PGS003998 (lassosum.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	5,548		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003998/ScoringFiles/PGS003998.txt.gz
PGS004014 (lassosum.CV.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	95,649		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004014/ScoringFiles/PGS004014.txt.gz
PGS004024 (ldpred2.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	958,046		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004024/ScoringFiles/PGS004024.txt.gz
PGS004039 (ldpred2.CV.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	958,046		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004039/ScoringFiles/PGS004039.txt.gz
PGS004052 (megaprs.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	800,598		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004052/ScoringFiles/PGS004052.txt.gz
PGS004068 (megaprs.CV.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	800,598		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004068/ScoringFiles/PGS004068.txt.gz
PGS004082 (prscs.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,043,329		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004082/ScoringFiles/PGS004082.txt.gz
PGS004106 (pt_clump.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	35		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004106/ScoringFiles/PGS004106.txt.gz
PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	297		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004122/ScoringFiles/PGS004122.txt.gz
PGS004136 (sbayesr.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	930,497		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004136/ScoringFiles/PGS004136.txt.gz
PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,071,786		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004152/ScoringFiles/PGS004152.txt.gz
PGS004181 (t2d_1)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Type 2 diabetes	type 2 diabetes mellitus	10,202	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004181/ScoringFiles/PGS004181.txt.gz
PGS004182 (t2d_2)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Type 2 diabetes	type 2 diabetes mellitus	10,778	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004182/ScoringFiles/PGS004182.txt.gz
PGS004183 (t2d_3)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Type 2 diabetes	type 2 diabetes mellitus	8,154	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004183/ScoringFiles/PGS004183.txt.gz
PGS004184 (t2d_4)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Type 2 diabetes	type 2 diabetes mellitus	9,645	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004184/ScoringFiles/PGS004184.txt.gz
PGS004185 (t2d_5)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Type 2 diabetes	type 2 diabetes mellitus	3,277	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004185/ScoringFiles/PGS004185.txt.gz
PGS004223 (PRS139_T2D)	PGP000523 \| Lin J et al. Sci Total Environ (2023)	Type 2 diabetes	type 2 diabetes mellitus	139	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004223/ScoringFiles/PGS004223.txt.gz
PGS004225 (PRS46_T2DEastAsia)	PGP000526 \| Liu J et al. Nutrients (2023)	Type 2 diabetes	type 2 diabetes mellitus	46	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004225/ScoringFiles/PGS004225.txt.gz
PGS004226 (PRS50_T2DEur)	PGP000526 \| Liu J et al. Nutrients (2023)	Type 2 diabetes	type 2 diabetes mellitus	50	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004226/ScoringFiles/PGS004226.txt.gz
PGS004310 (GenoBoost_type_2_diabetes_0)	PGP000546 \| Ohta R et al. Nat Commun (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	7,000	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004310/ScoringFiles/PGS004310.txt.gz
PGS004311 (GenoBoost_type_2_diabetes_1)	PGP000546 \| Ohta R et al. Nat Commun (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	4,000	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004311/ScoringFiles/PGS004311.txt.gz
PGS004312 (GenoBoost_type_2_diabetes_2)	PGP000546 \| Ohta R et al. Nat Commun (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	7,000	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004312/ScoringFiles/PGS004312.txt.gz
PGS004313 (GenoBoost_type_2_diabetes_3)	PGP000546 \| Ohta R et al. Nat Commun (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	8,000	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004313/ScoringFiles/PGS004313.txt.gz
PGS004314 (GenoBoost_type_2_diabetes_4)	PGP000546 \| Ohta R et al. Nat Commun (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,000	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004314/ScoringFiles/PGS004314.txt.gz
PGS004323 (PRS91_T2D)	PGP000557 \| Tan Q et al. J Hazard Mater (2023)	Type 2 diabetes	type 2 diabetes mellitus	91	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004323/ScoringFiles/PGS004323.txt.gz
PGS004499 (disease.T2D.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004499/ScoringFiles/PGS004499.txt.gz
PGS004569 (meta.T2D.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004569/ScoringFiles/PGS004569.txt.gz
PGS004602 (PRS424_T2D)	PGP000580 \| Zhuang P et al. Diabetes Care (2021)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	424	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004602/ScoringFiles/PGS004602.txt.gz
PGS004615 (PGS_weights_TMM_All_of_1group)	PGP000593 \| Ojima T et al. Nat Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	855,161	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004615/ScoringFiles/PGS004615.txt.gz
PGS004616 (PGS_weights_TMM_HighBMI_of_2groups)	PGP000593 \| Ojima T et al. Nat Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	855,161	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004616/ScoringFiles/PGS004616.txt.gz
PGS004617 (PGS_weights_TMM_LowBMI_of_2groups)	PGP000593 \| Ojima T et al. Nat Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	855,161	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004617/ScoringFiles/PGS004617.txt.gz
PGS004618 (PGS_weights_BBJ2nd_All_of_1group)	PGP000593 \| Ojima T et al. Nat Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	728,824	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004618/ScoringFiles/PGS004618.txt.gz
PGS004619 (PGS_weights_BBJ2nd_HighBMI_of_2groups)	PGP000593 \| Ojima T et al. Nat Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	728,824	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004619/ScoringFiles/PGS004619.txt.gz
PGS004620 (PGS_weights_BBJ2nd_LowBMI_of_2groups)	PGP000593 \| Ojima T et al. Nat Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	728,824	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004620/ScoringFiles/PGS004620.txt.gz
PGS004837 (t2d_PRSmix_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	3,306,136	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004837/ScoringFiles/PGS004837.txt.gz
PGS004838 (t2d_PRSmix_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,586,458	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004838/ScoringFiles/PGS004838.txt.gz
PGS004839 (t2d_PRSmixPlus_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	4,594,694	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004839/ScoringFiles/PGS004839.txt.gz
PGS004840 (t2d_PRSmixPlus_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,586,458	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004840/ScoringFiles/PGS004840.txt.gz
PGS004859 (T2D_PRS_CS)	PGP000605 \| Deutsch AJ et al. Diabetes Care (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,108,235	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004859/ScoringFiles/PGS004859.txt.gz
PGS004868 (T2DPGS)	PGP000617 \| Yun JS et al. Cardiovasc Diabetol (2022)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	6,580,804	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004868/ScoringFiles/PGS004868.txt.gz
PGS004870 (INTERVENE_MegaPRS_T2D)	PGP000618 \| Jermy B et al. Nat Commun (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	930,506		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004870/ScoringFiles/PGS004870.txt.gz
PGS004887 (T2D_gePGS)	PGP000619 \| Mandla R et al. Genome Med (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,117,628		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004887/ScoringFiles/PGS004887.txt.gz
PGS004923 (T2D_metaGRS)	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,349,896		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004923/ScoringFiles/PGS004923.txt.gz
PGS005021 (Phe_250_2_ldpred_AFRss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005021/ScoringFiles/PGS005021.txt.gz
PGS005022 (Phe_250_2_ldpred_EURss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005022/ScoringFiles/PGS005022.txt.gz
PGS005023 (Phe_250_2_ldpred_HISss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005023/ScoringFiles/PGS005023.txt.gz
PGS005024 (Phe_250_2_ldpred_METAss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005024/ScoringFiles/PGS005024.txt.gz
PGS005025 (Phe_250_2_ldpred_METAss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005025/ScoringFiles/PGS005025.txt.gz
PGS005026 (Phe_250_2_ldpred_METAss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005026/ScoringFiles/PGS005026.txt.gz
PGS005027 (Phe_250_2_prscs_AFRss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005027/ScoringFiles/PGS005027.txt.gz
PGS005028 (Phe_250_2_prscs_EURss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005028/ScoringFiles/PGS005028.txt.gz
PGS005029 (Phe_250_2_prscs_HISss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005029/ScoringFiles/PGS005029.txt.gz
PGS005030 (Phe_250_2_prscs_METAss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005030/ScoringFiles/PGS005030.txt.gz
PGS005031 (Phe_250_2_prscs_METAss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005031/ScoringFiles/PGS005031.txt.gz
PGS005032 (Phe_250_2_prscs_METAss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005032/ScoringFiles/PGS005032.txt.gz
PGS005033 (Phe_250_2_prscsx_METAweight)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Type 2 diabetes (T2D) (PheCode 250.2)	type 2 diabetes mellitus	1,277,826	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005033/ScoringFiles/PGS005033.txt.gz
PGS005108 (PRSdiabetes)	PGP000697 \| Takase M et al. J Atheroscler Thromb (2023)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	42,845		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005108/ScoringFiles/PGS005108.txt.gz

Performance Metrics

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

PGS Performance Metric ID (PPM)	Evaluated Score	PGS Sample Set ID (PSS)	Performance Source	Trait	PGS Effect Sizes (per SD change)	Classification Metrics	Other Metrics	Covariates Included in the Model	PGS Performance: Other Relevant Information
PPM000040	PGS000020 (dGRS1000)	PSS000025\| European Ancestry\| 6,280 individuals	PGP000010 \| Läll K et al. Genet Med (2016)	Reported Trait: Incident type 2 diabetes	HR: 1.48 [1.32, 1.66]	C-index: 0.79 [0.771, 0.812]	—	BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex.	Cox age-as-time-scale
PPM000062	PGS000031 (GRSt)	PSS000044\| European Ancestry\| 3,471 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.06 [1.04, 1.08]	C-index: 0.906 [0.892, 0.92]	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model"
PPM000063	PGS000031 (GRSt)	PSS000043\| European Ancestry\| 1,650 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.06 [1.02, 1.1]	C-index: 0.853 [0.81, 0.896]	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model"
PPM000064	PGS000031 (GRSt)	PSS000042\| African Ancestry\| 820 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.05 [1.0, 1.09]	C-index: 0.771 [0.727, 0.814]	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000065	PGS000032 (GRSB)	PSS000044\| European Ancestry\| 3,471 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.1 [1.06, 1.14]	—	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model"
PPM000066	PGS000032 (GRSB)	PSS000043\| European Ancestry\| 1,650 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.09 [1.02, 1.17]	—	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model"
PPM000067	PGS000032 (GRSB)	PSS000042\| African Ancestry\| 820 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.06 [0.99, 1.15]	—	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000068	PGS000033 (GRSIR)	PSS000044\| European Ancestry\| 3,471 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 0.98 [0.93, 1.04]	—	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model"
PPM000069	PGS000033 (GRSIR)	PSS000043\| European Ancestry\| 1,650 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.01 [0.91, 1.12]	—	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model"
PPM000070	PGS000033 (GRSIR)	PSS000042\| African Ancestry\| 820 individuals	PGP000020 \| Vassy JL et al. Diabetes (2014)	Reported Trait: Incident type 2 diabetes cases	HR: 1.06 [0.99, 1.15]	—	—	age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels	Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000080	PGS000036 (gePS_T2D)	PSS000054\| European Ancestry\| 324,870 individuals	PGP000024 \| Udler MS et al. Endocr Rev (2019) \|Ext.	Reported Trait: Type 2 diabetes	—	AUROC: 0.66	—	genotyping array, first 6 PCs of ancestry	—
PPM000081	PGS000036 (gePS_T2D)	PSS000054\| European Ancestry\| 324,870 individuals	PGP000024 \| Udler MS et al. Endocr Rev (2019) \|Ext.	Reported Trait: Type 2 diabetes	—	AUROC: 0.73	—	age, sex, genotyping array, first 6 PCs of ancestry	—
PPM001667	PGS000729 (T2D_PGS)	PSS000869\| European Ancestry\| 3,087 individuals	PGP000137 \| Ritchie SC et al. Nat Metab (2021)	Reported Trait: Incident type 2 diabetes	HR: 2.0 [1.36, 2.94]	—	—	age, sex, 10 genetic PCs	—
PPM000404	PGS000125 (Qi_T2D_2017)	PSS000232\| Hispanic or Latin American Ancestry\| 7,746 individuals	PGP000062 \| Qi Q et al. Diabetes (2017)	Reported Trait: Type 2 Diabetes	—	—	OR (Odds Ratio, per risk allele): 1.07 [1.06, 1.08]	center, age, sex, 5 PCs of ancestry	Covariance matrices corresponding to genetic relatedness (kinship), household, and census block group were included as random effects in the mixed model analysis
PPM000023	PGS000014 (GPS_T2D)	PSS000017\| European Ancestry\| 288,978 individuals	PGP000006 \| Khera AV et al. Nat Genet (2018)	Reported Trait: Type 2 diabetes	—	AUROC: 0.73 [0.72, 0.73]	Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029	age; sex; Ancestry PC 1-4; genotyping chip	—
PPM000897	PGS000330 (PRS_T2D)	PSS000441\| European Ancestry\| 21,030 individuals	PGP000100 \| Mars N et al. Nat Med (2020)	Reported Trait: Incident type 2 diabetes	—	C-index: 0.845	—	age, sex, BMI, history of stroke or CHD, parental history of diabetes, SBP, DBP, HDL, triglycerides, FINRISK cohort, genotyping array/batch, 10 ancestry PCs	10-year risk
PPM000892	PGS000330 (PRS_T2D)	PSS000441\| European Ancestry\| 21,030 individuals	PGP000100 \| Mars N et al. Nat Med (2020)	Reported Trait: Incident type 2 diabetes	HR: 1.7 [1.63, 1.78]	C-index: 0.763	—	age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs	10-year risk
PPM002240	PGS000832 (T2D-GRS)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.24 [1.16, 1.34]	—	—	PC1-10	—
PPM002242	PGS000832 (T2D-GRS)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.77 [1.67, 1.88]	—	—	PC1-10	—
PPM000887	PGS000330 (PRS_T2D)	PSS000448\| European Ancestry\| 135,300 individuals	PGP000100 \| Mars N et al. Nat Med (2020)	Reported Trait: Type 2 diabetes (incident and prevalent cases)	HR: 1.74 [1.72, 1.77]	—	—	genotyping array/batch, 10 ancestry PCs, stratified by sex	—
PPM001604	PGS000712 (T2D_HbA1c_39)	PSS000755\| European Ancestry\| 87,413 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.68713	—	Age, sex, PCs(1-10)	—
PPM001605	PGS000713 (T2D)	PSS000754\| European Ancestry\| 87,413 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.688	—	Age, sex, PCs(1-10)	—
PPM001615	PGS000713 (T2D)	PSS000756\| European Ancestry\| 135,300 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: Type 2 diabetes	HR: 1.49 [1.47, 1.51]	C-index: 0.669	—	Age as time scale, sex, batch, PCs(1-10)	—
PPM002116	PGS000806 (GRS582_T2Dafr)	PSS001044\| African Ancestry\| 15,609 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6656 [0.6569, 0.6743]	Odds Ratio (OR, top 10% vs middle 20%): 1.53 [1.36, 1.73]	Age, sex, body mass index, study, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002117	PGS000804 (GRS582_T2Dmulti)	PSS001044\| African Ancestry\| 15,609 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.568 [0.5588, 0.5772]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002118	PGS000806 (GRS582_T2Dafr)	PSS001044\| African Ancestry\| 15,609 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.5592 [0.5499, 0.5684]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002119	PGS000804 (GRS582_T2Dmulti)	PSS001046\| European Ancestry\| 423,729 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.825 [0.8222, 0.8279]	Odds Ratio (OR, top 10% vs middle 20%): 2.94 [2.8, 3.08]	Age, sex, body mass index, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002120	PGS000805 (GRS582_T2Deur)	PSS001046\| European Ancestry\| 423,729 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.8253 [0.8224, 0.8281]	Odds Ratio (OR, top 10% vs middle 20%): 2.95 [2.81, 3.1]	Age, sex, body mass index, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002121	PGS000804 (GRS582_T2Dmulti)	PSS001046\| European Ancestry\| 423,729 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6586 [0.6547, 0.6624]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002122	PGS000805 (GRS582_T2Deur)	PSS001046\| European Ancestry\| 423,729 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6593 [0.6555, 0.6632]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002123	PGS000804 (GRS582_T2Dmulti)	PSS001047\| Hispanic or Latin American Ancestry\| 20,486 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.7293 [0.721, 0.7376]	Odds Ratio (OR, top 10% vs middle 20%): 2.39 [2.1, 2.73]	Age, sex, body mass index, study, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002124	PGS000808 (GRS582_T2Dhis)	PSS001047\| Hispanic or Latin American Ancestry\| 20,486 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.7202 [0.7118, 0.7286]	Odds Ratio (OR, top 10% vs middle 20%): 2.04 [1.79, 2.32]	Age, sex, body mass index, study, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002125	PGS000804 (GRS582_T2Dmulti)	PSS001047\| Hispanic or Latin American Ancestry\| 20,486 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6249 [0.6156, 0.6342]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002126	PGS000808 (GRS582_T2Dhis)	PSS001047\| Hispanic or Latin American Ancestry\| 20,486 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6098 [0.6004, 0.6192]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002127	PGS000804 (GRS582_T2Dmulti)	PSS001045\| Additional Asian Ancestries\| 4,576 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.8411 [0.8298, 0.8523]	Odds Ratio (OR, top 10% vs middle 20%): 3.08 [2.4, 3.95]	Age, sex, body mass index, study, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002128	PGS000807 (GRS582_T2Dasn)	PSS001045\| Additional Asian Ancestries\| 4,576 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.8388 [0.8274, 0.8502]	Odds Ratio (OR, top 10% vs middle 20%): 2.84 [2.21, 3.65]	Age, sex, body mass index, study, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002129	PGS000804 (GRS582_T2Dmulti)	PSS001045\| Additional Asian Ancestries\| 4,576 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6263 [0.6101, 0.6425]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002130	PGS000807 (GRS582_T2Dasn)	PSS001045\| Additional Asian Ancestries\| 4,576 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6161 [0.5998, 0.6324]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002131	PGS000804 (GRS582_T2Dmulti)	PSS001048\| Additional Diverse Ancestries\| 3,551 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.7989 [0.7845, 0.8133]	Odds Ratio (OR, top 10% vs middle 20%): 2.02 [1.54, 2.65]	Age, sex, body mass index, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002133	PGS000804 (GRS582_T2Dmulti)	PSS001048\| Additional Diverse Ancestries\| 3,551 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6214 [0.603, 0.6399]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002134	PGS000805 (GRS582_T2Deur)	PSS001048\| Additional Diverse Ancestries\| 3,551 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6213 [0.6029, 0.6397]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002135	PGS000807 (GRS582_T2Dasn)	PSS001048\| Additional Diverse Ancestries\| 3,551 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.7909 [0.7763, 0.8056]	Odds Ratio (OR, top 10% vs middle 20%): 1.62 [1.23, 2.14]	Age, sex, body mass index, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002136	PGS000807 (GRS582_T2Dasn)	PSS001048\| Additional Diverse Ancestries\| 3,551 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.5768 [0.558, 0.5956]	—	—	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002115	PGS000804 (GRS582_T2Dmulti)	PSS001044\| African Ancestry\| 15,609 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6701 [0.6615, 0.6788]	Odds Ratio (OR, top 10% vs middle 20%): 1.57 [1.39, 1.77]	Age, sex, body mass index, study, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM012948	PGS002277 (pPS_Insulin_secretion_1)	PSS009629\| South Asian Ancestry\| 5,806 individuals	PGP000305 \| Siddiqui MK et al. Diabetologia (2022)	Reported Trait: Age at diagnosis (normal BMI)	β: 37.31 (16.7)	—	R²: 0.012	—	—
PPM002132	PGS000805 (GRS582_T2Deur)	PSS001048\| Additional Diverse Ancestries\| 3,551 individuals	PGP000193 \| Polfus LM et al. HGG Adv (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.7985 [0.7842, 0.8129]	Odds Ratio (OR, top 10% vs middle 20%): 2.13 [1.63, 2.79]	Age, sex, body mass index, PCs(1-10)	Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002323	PGS000848 (T2D_Adiposity)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.11 [1.0, 1.23]	—	—	PC1-10	—
PPM002324	PGS000848 (T2D_Adiposity)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.1 [1.02, 1.18]	—	—	PC1-10	—
PPM002325	PGS000848 (T2D_Adiposity)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.11 [1.03, 1.19]	—	—	PC1-10	—
PPM002326	PGS000848 (T2D_Adiposity)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.2 [1.12, 1.28]	—	—	PC1-10	—
PPM002327	PGS000848 (T2D_Adiposity)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.06 [1.0, 1.12]	—	—	PC1-10	—
PPM002329	PGS000849 (T2D_Impaired_Lipids)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.07 [1.0, 1.15]	—	—	PC1-10	—
PPM002330	PGS000849 (T2D_Impaired_Lipids)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.09 [1.01, 1.17]	—	—	PC1-10	—
PPM002331	PGS000849 (T2D_Impaired_Lipids)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.0 [0.93, 1.07]	—	—	PC1-10	—
PPM002332	PGS000849 (T2D_Impaired_Lipids)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.06 [1.0, 1.12]	—	—	PC1-10	—
PPM002333	PGS000850 (T2D_Insulin_Action)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.08 [0.98, 1.2]	—	—	PC1-10	—
PPM002334	PGS000850 (T2D_Insulin_Action)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.17 [1.09, 1.25]	—	—	PC1-10	—
PPM002335	PGS000850 (T2D_Insulin_Action)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.17 [1.09, 1.26]	—	—	PC1-10	—
PPM002337	PGS000850 (T2D_Insulin_Action)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.16 [1.1, 1.23]	—	—	PC1-10	—
PPM002338	PGS000851 (T2D_Insulin_Action_Secretion)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.24 [1.12, 1.37]	—	—	PC1-10	—
PPM002339	PGS000851 (T2D_Insulin_Action_Secretion)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.23 [1.15, 1.32]	—	—	PC1-10	—
PPM002340	PGS000851 (T2D_Insulin_Action_Secretion)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.04 [0.97, 1.11]	—	—	PC1-10	—
PPM002341	PGS000851 (T2D_Insulin_Action_Secretion)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.19 [1.12, 1.28]	—	—	PC1-10	—
PPM002342	PGS000851 (T2D_Insulin_Action_Secretion)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.19 [1.13, 1.26]	—	—	PC1-10	—
PPM002343	PGS000852 (T2D_Insulin_Secretion_1)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.01 [0.91, 1.12]	—	—	PC1-10	—
PPM002344	PGS000852 (T2D_Insulin_Secretion_1)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.31 [1.22, 1.41]	—	—	PC1-10	—
PPM002345	PGS000852 (T2D_Insulin_Secretion_1)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.04 [0.97, 1.12]	—	—	PC1-10	—
PPM002347	PGS000852 (T2D_Insulin_Secretion_1)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.29 [1.22, 1.37]	—	—	PC1-10	—
PPM002348	PGS000853 (T2D_Insulin_Secretion_2)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 0.99 [0.9, 1.1]	—	—	PC1-10	—
PPM002349	PGS000853 (T2D_Insulin_Secretion_2)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.26 [1.18, 1.36]	—	—	PC1-10	—
PPM002350	PGS000853 (T2D_Insulin_Secretion_2)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.02 [0.95, 1.09]	—	—	PC1-10	—
PPM002351	PGS000853 (T2D_Insulin_Secretion_2)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.18 [1.11, 1.27]	—	—	PC1-10	—
PPM002352	PGS000853 (T2D_Insulin_Secretion_2)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.23 [1.17, 1.3]	—	—	PC1-10	—
PPM002353	PGS000854 (T2D_BetaCell)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.0 [0.91, 1.11]	—	—	PC1-10	—
PPM002354	PGS000854 (T2D_BetaCell)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.32 [1.23, 1.42]	—	—	PC1-10	—
PPM002355	PGS000854 (T2D_BetaCell)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.01 [0.94, 1.08]	—	—	PC1-10	—
PPM002357	PGS000854 (T2D_BetaCell)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.27 [1.2, 1.34]	—	—	PC1-10	—
PPM002358	PGS000855 (T2D_Lipodystrophy)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.12 [1.01, 1.25]	—	—	PC1-10	—
PPM002359	PGS000855 (T2D_Lipodystrophy)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.23 [1.15, 1.33]	—	—	PC1-10	—
PPM002360	PGS000855 (T2D_Lipodystrophy)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.15 [1.07, 1.24]	—	—	PC1-10	—
PPM002361	PGS000855 (T2D_Lipodystrophy)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.14 [1.06, 1.22]	—	—	PC1-10	—
PPM002362	PGS000855 (T2D_Lipodystrophy)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.18 [1.11, 1.24]	—	—	PC1-10	—
PPM002363	PGS000856 (T2D_LiverLipids)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.35 [1.22, 1.51]	—	—	PC1-10	—
PPM002364	PGS000856 (T2D_LiverLipids)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.01 [0.94, 1.08]	—	—	PC1-10	—
PPM002366	PGS000856 (T2D_LiverLipids)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.02 [0.95, 1.09]	—	—	PC1-10	—
PPM002367	PGS000856 (T2D_LiverLipids)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 0.95 [0.9, 1.01]	—	—	PC1-10	—
PPM002368	PGS000857 (T2D_Obesity)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.07 [0.97, 1.19]	—	—	PC1-10	—
PPM002369	PGS000857 (T2D_Obesity)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.08 [1.01, 1.16]	—	—	PC1-10	—
PPM002370	PGS000857 (T2D_Obesity)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.13 [1.05, 1.22]	—	—	PC1-10	—
PPM002371	PGS000857 (T2D_Obesity)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.19 [1.11, 1.27]	—	—	PC1-10	—
PPM002372	PGS000857 (T2D_Obesity)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.04 [0.99, 1.1]	—	—	PC1-10	—
PPM002373	PGS000858 (T2D_Proinsulin)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 0.94 [0.85, 1.04]	—	—	PC1-10	—
PPM002374	PGS000858 (T2D_Proinsulin)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.14 [1.06, 1.22]	—	—	PC1-10	—
PPM002376	PGS000858 (T2D_Proinsulin)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.06 [0.99, 1.13]	—	—	PC1-10	—
PPM002377	PGS000858 (T2D_Proinsulin)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.1 [1.04, 1.16]	—	—	PC1-10	—
PPM002413	PGS000868 (T2D_221)	PSS001092\| Ancestry Not Reported\| 5,740 individuals	PGP000214 \| Aksit MA et al. J Clin Endocrinol Metab (2020)	Reported Trait: Cystic-fibrosis related diabetes	HR: 1.285	—	—	PCs(1-4), site of recruitment	—
PPM002415	PGS000032 (GRSB)	PSS001092\| Ancestry Not Reported\| 5,740 individuals	PGP000214 \| Aksit MA et al. J Clin Endocrinol Metab (2020) \|Ext.	Reported Trait: Cystic-fibrosis related diabetes onset	HR: 1.192	—	—	PCs(1-4), site of recruitment	—
PPM002403	PGS000864 (T2D-gPRS)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.42 [1.28, 1.58]	—	—	PC1-10	—
PPM002404	PGS000864 (T2D-gPRS)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.93 [1.79, 2.09]	—	—	PC1-10	—
PPM002406	PGS000864 (T2D-gPRS)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 2.12 [1.96, 2.29]	—	—	PC1-10	—
PPM002407	PGS000864 (T2D-gPRS)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 1.59 [1.5, 1.69]	—	—	PC1-10	—
PPM017036	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: Fasting glucose x BMI interaction	β: 89.0	—	—	age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5	—
PPM017037	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: Fasting glucose x Born in South Asia interaction	β: 84.0	—	—	age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5	—
PPM017038	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: Fasting glucose x Low diet quality interaction (only in START cohort)	β: 0.141 [0.053, 0.228]	—	—	age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5	—
PPM002477	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes	—	C-index: 0.709 [0.696, 0.722]	Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31]	Sex, age, principal components, assessment center	—
PPM002478	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in males	—	C-index: 0.68 [0.663, 0.697]	—	Age, principal components and assessment center	—
PPM002479	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in females	—	C-index: 0.705 [0.682, 0.728]	—	Age, principal components and assessment center	—
PPM002480	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes	—	C-index: 0.776 [0.764, 0.788]	—	Sex, age, principal components, assessment center, polyexposure score	—
PPM002481	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes	—	C-index: 0.844 [0.834, 0.854]	—	Sex, age, principal components, assessment center, clinical risk score	—
PPM002482	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes	—	C-index: 0.855 [0.845, 0.865]	—	Sex, age, principal components, assessment center, polyexposure socre, clinical risk score	—
PPM002483	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in females	—	C-index: 0.786 [0.765, 0.807]	—	Age, principal components, assessment center, polyexposure score	—
PPM002485	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in females	—	C-index: 0.859 [0.842, 0.876]	—	Sex, age, principal components, assessment center, clinical risk score	—
PPM002486	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in males	—	C-index: 0.749 [0.734, 0.764]	—	Age, principal components, assessment center, polyexposure score	—
PPM002487	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in males	—	C-index: 0.821 [0.808, 0.834]	—	Age, principal components, assessment center, polyexposure socre, clinical risk score	—
PPM002488	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in males	—	C-index: 0.834 [0.821, 0.847]	—	Sex, age, principal components, assessment center, clinical risk score	—
PPM017039	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: AUC glucose x BMI interaction	β: 77.0	—	—	age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5	—
PPM017040	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: GDM (IADPSG criteria) x BMI interaction	OR: 0.0	—	—	age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5	—
PPM002484	PGS000014 (GPS_T2D)	PSS001117\| European Ancestry\| 68,229 individuals	PGP000218 \| He Y et al. Diabetes Care (2021) \|Ext.	Reported Trait: Incident type II diabetes in females	—	C-index: 0.869 [0.853, 0.885]	—	Age, principal components, assessment center, polyexposure socre, clinical risk score	—
PPM002239	PGS000832 (T2D-GRS)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 1.96 [1.81, 2.12]	—	—	PC1-10	—
PPM002238	PGS000832 (T2D-GRS)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.28 [1.16, 1.42]	—	—	PC1-10	—
PPM002241	PGS000832 (T2D-GRS)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.73 [1.61, 1.86]	—	—	PC1-10	—
PPM002328	PGS000849 (T2D_Impaired_Lipids)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.08 [0.97, 1.2]	—	—	PC1-10	—
PPM002336	PGS000850 (T2D_Insulin_Action)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.14 [1.07, 1.22]	—	—	PC1-10	—
PPM002346	PGS000852 (T2D_Insulin_Secretion_1)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.26 [1.18, 1.35]	—	—	PC1-10	—
PPM002356	PGS000854 (T2D_BetaCell)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.21 [1.13, 1.3]	—	—	PC1-10	—
PPM005189	PGS001357 (T2D_AnnoPred_PRS)	PSS003606\| European Ancestry\| 178,138 individuals	PGP000252 \| Ye Y et al. Circ Genom Precis Med (2021)	Reported Trait: Type 2 diabetes	—	AUROC: 0.6446	—	Age, sex, PCs(1-10)	—
PPM002365	PGS000856 (T2D_LiverLipids)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 0.97 [0.91, 1.05]	—	—	PC1-10	—
PPM002375	PGS000858 (T2D_Proinsulin)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 0.93 [0.87, 1.0]	—	—	PC1-10	—
PPM002405	PGS000864 (T2D-gPRS)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 1.56 [1.45, 1.69]	—	—	PC1-10	—
PPM009277	PGS001781 (T2D_PRSCS)	PSS007684\| European Ancestry\| 309,154 individuals	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Reported Trait: Type 2 diabetes (incident and prevalent)	OR: 1.59 [1.57, 1.61]	AUROC: 0.758 [0.756, 0.761]	—	year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array	—
PPM009281	PGS001781 (T2D_PRSCS)	PSS007685\| European Ancestry\| 279,879 individuals	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Reported Trait: Incident type 2 diabetes	OR: 1.52 [1.49, 1.55]	AUROC: 0.852 [0.849, 0.855]	—	year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array	—
PPM008968	PGS001294 (GBE_HC649)	PSS004575\| African Ancestry\| 6,497 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: TTE non-insulin-dependent diabetes mellitus	—	AUROC: 0.70052 [0.68094, 0.7201]	R²: 0.10493 Incremental AUROC (full-covars): 0.00213 PGS R2 (no covariates): 0.00615 PGS AUROC (no covariates): 0.54526 [0.52378, 0.56673]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008969	PGS001294 (GBE_HC649)	PSS004576\| East Asian Ancestry\| 1,704 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: TTE non-insulin-dependent diabetes mellitus	—	AUROC: 0.75536 [0.71488, 0.79584]	R²: 0.1242 Incremental AUROC (full-covars): 0.01544 PGS R2 (no covariates): 0.01604 PGS AUROC (no covariates): 0.5808 [0.52621, 0.63538]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008970	PGS001294 (GBE_HC649)	PSS004577\| European Ancestry\| 24,905 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: TTE non-insulin-dependent diabetes mellitus	—	AUROC: 0.72888 [0.71557, 0.7422]	R²: 0.10344 Incremental AUROC (full-covars): 0.03534 PGS R2 (no covariates): 0.03413 PGS AUROC (no covariates): 0.63582 [0.62119, 0.65045]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008971	PGS001294 (GBE_HC649)	PSS004578\| South Asian Ancestry\| 7,831 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: TTE non-insulin-dependent diabetes mellitus	—	AUROC: 0.68707 [0.67293, 0.70121]	R²: 0.11343 Incremental AUROC (full-covars): 0.01724 PGS R2 (no covariates): 0.02384 PGS AUROC (no covariates): 0.58532 [0.56986, 0.60078]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008972	PGS001294 (GBE_HC649)	PSS004579\| European Ancestry\| 67,425 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: TTE non-insulin-dependent diabetes mellitus	—	AUROC: 0.71038 [0.70256, 0.71821]	R²: 0.08854 Incremental AUROC (full-covars): 0.04133 PGS R2 (no covariates): 0.03493 PGS AUROC (no covariates): 0.63323 [0.62453, 0.64194]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008973	PGS001295 (GBE_HC165)	PSS004312\| African Ancestry\| 6,497 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Type 2 diabetes	—	AUROC: 0.68145 [0.62426, 0.73864]	R²: 0.04466 Incremental AUROC (full-covars): 0.00427 PGS R2 (no covariates): 0.00162 PGS AUROC (no covariates): 0.5359 [0.47698, 0.59482]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008974	PGS001295 (GBE_HC165)	PSS004313\| East Asian Ancestry\| 1,704 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Type 2 diabetes	—	AUROC: 0.83509 [0.71831, 0.95186]	R²: 0.20575 Incremental AUROC (full-covars): -0.00085 PGS R2 (no covariates): 0.00265 PGS AUROC (no covariates): 0.56328 [0.47919, 0.64736]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008975	PGS001295 (GBE_HC165)	PSS004314\| European Ancestry\| 24,905 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Type 2 diabetes	—	AUROC: 0.69318 [0.65625, 0.73011]	R²: 0.04603 Incremental AUROC (full-covars): 0.0115 PGS R2 (no covariates): 0.00675 PGS AUROC (no covariates): 0.58258 [0.54116, 0.62401]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008976	PGS001295 (GBE_HC165)	PSS004315\| South Asian Ancestry\| 7,831 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Type 2 diabetes	—	AUROC: 0.65806 [0.61856, 0.69756]	R²: 0.0392 Incremental AUROC (full-covars): 0.01243 PGS R2 (no covariates): 0.00618 PGS AUROC (no covariates): 0.5613 [0.5184, 0.60421]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008977	PGS001295 (GBE_HC165)	PSS004316\| European Ancestry\| 67,425 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Type 2 diabetes	—	AUROC: 0.68247 [0.66155, 0.70338]	R²: 0.03772 Incremental AUROC (full-covars): 0.01405 PGS R2 (no covariates): 0.00633 PGS AUROC (no covariates): 0.57592 [0.55208, 0.59975]	age, sex, UKB array type, Genotype PCs	Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009444	PGS001818 (portability-PLR_250.2)	PSS009288\| European Ancestry\| 19,931 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1246 [0.1109, 0.1382]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009445	PGS001818 (portability-PLR_250.2)	PSS009062\| European Ancestry\| 4,121 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0862 [0.0557, 0.1165]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009447	PGS001818 (portability-PLR_250.2)	PSS008392\| Greater Middle Eastern Ancestry\| 1,197 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1735 [0.1176, 0.2284]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009448	PGS001818 (portability-PLR_250.2)	PSS008170\| South Asian Ancestry\| 6,312 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1556 [0.1314, 0.1796]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009449	PGS001818 (portability-PLR_250.2)	PSS007957\| East Asian Ancestry\| 1,808 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0665 [0.0202, 0.1125]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009450	PGS001818 (portability-PLR_250.2)	PSS007738\| African Ancestry\| 2,476 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0956 [0.0562, 0.1346]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009451	PGS001818 (portability-PLR_250.2)	PSS008841\| African Ancestry\| 3,896 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0522 [0.0208, 0.0836]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011082	PGS002026 (portability-ldpred2_250.2)	PSS009288\| European Ancestry\| 19,931 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1304 [0.1168, 0.1441]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011083	PGS002026 (portability-ldpred2_250.2)	PSS009062\| European Ancestry\| 4,121 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0862 [0.0558, 0.1165]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011084	PGS002026 (portability-ldpred2_250.2)	PSS008616\| European Ancestry\| 6,646 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1134 [0.0896, 0.1371]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011085	PGS002026 (portability-ldpred2_250.2)	PSS008392\| Greater Middle Eastern Ancestry\| 1,197 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1764 [0.1205, 0.2312]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011087	PGS002026 (portability-ldpred2_250.2)	PSS007957\| East Asian Ancestry\| 1,808 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0786 [0.0324, 0.1246]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011088	PGS002026 (portability-ldpred2_250.2)	PSS007738\| African Ancestry\| 2,476 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.1001 [0.0607, 0.1391]	sex, age, birth date, deprivation index, 16 PCs	—
PPM011089	PGS002026 (portability-ldpred2_250.2)	PSS008841\| African Ancestry\| 3,896 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.0806 [0.0493, 0.1118]	sex, age, birth date, deprivation index, 16 PCs	—
PPM009446	PGS001818 (portability-PLR_250.2)	PSS008616\| European Ancestry\| 6,646 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.108 [0.0842, 0.1317]	sex, age, birth date, deprivation index, 16 PCs	—
PPM014802	PGS000036 (gePS_T2D)	PSS009895\| European Ancestry\| 1,168 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.661 [0.606, 0.716]	—	—	—
PPM011086	PGS002026 (portability-ldpred2_250.2)	PSS008170\| South Asian Ancestry\| 6,312 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Partial Correlation (partial-r): 0.158 [0.1338, 0.182]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012733	PGS002243 (ldpred_t2d)	PSS009522\| European Ancestry\| 258,402 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.58 [1.56, 1.6]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012737	PGS002243 (ldpred_t2d)	PSS009518\| European Ancestry\| 110,597 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.55 [1.51, 1.59]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012741	PGS002243 (ldpred_t2d)	PSS009514\| East Asian Ancestry\| 178,726 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.37 [1.36, 1.39]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012745	PGS002243 (ldpred_t2d)	PSS009526\| European Ancestry\| 69,422 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.64 [1.6, 1.69]	—	—	birth year, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012749	PGS002243 (ldpred_t2d)	PSS009534\| European Ancestry\| 25,696 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.46 [1.41, 1.51]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012753	PGS002243 (ldpred_t2d)	PSS009530\| African Ancestry\| 1,535 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.24 [1.09, 1.42]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012757	PGS002243 (ldpred_t2d)	PSS009542\| European Ancestry\| 343,676 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.78 [1.75, 1.81]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012762	PGS002243 (ldpred_t2d)	PSS009538\| African Ancestry\| 7,618 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.46 [1.32, 1.62]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM012767	PGS002243 (ldpred_t2d)	PSS009546\| South Asian Ancestry\| 7,628 individuals	PGP000271 \| Mars N et al. Cell Genom (2022)	Reported Trait: Type 2 diabetes	OR: 1.66 [1.55, 1.79]	—	—	age, sex, 10 PCs (+/- dataset-specific technical covariates)	—
PPM009287	PGS001781 (T2D_PRSCS)	PSS007692\| European Ancestry\| 343,672 individuals	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Reported Trait: Prevalent type 2 diabetes	OR: 1.75 [1.72, 1.78]	AUROC: 0.725 [0.721, 0.729]	—	year of birth, sex	—
PPM009283	PGS001781 (T2D_PRSCS)	PSS007691\| European Ancestry\| 328,115 individuals	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Reported Trait: Incident type 2 diabetes	OR: 1.51 [1.48, 1.54]	AUROC: 0.669 [0.664, 0.675]	—	year of birth, sex	—
PPM009285	PGS001781 (T2D_PRSCS)	PSS007686\| European Ancestry\| 309,154 individuals	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Reported Trait: Prevalent type 2 diabetes	OR: 1.59 [1.57, 1.61]	AUROC: 0.81 [0.808, 0.813]	—	year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array	—
PPM009279	PGS001781 (T2D_PRSCS)	PSS007690\| European Ancestry\| 343,672 individuals	PGP000261 \| Tamlander M et al. Commun Biol (2022)	Reported Trait: Type 2 diabetes (incident and prevalent)	OR: 1.68 [1.65, 1.7]	AUROC: 0.708 [0.705, 0.711]	—	year of birth, sex	—
PPM012947	PGS002277 (pPS_Insulin_secretion_1)	PSS009629\| South Asian Ancestry\| 5,806 individuals	PGP000305 \| Siddiqui MK et al. Diabetologia (2022)	Reported Trait: Age at diagnosis	—	—	Z: 5.2	—	Z-score p-value < 0.0001
PPM012949	PGS002277 (pPS_Insulin_secretion_1)	PSS009629\| South Asian Ancestry\| 5,806 individuals	PGP000305 \| Siddiqui MK et al. Diabetologia (2022)	Reported Trait: Age at diagnosis (overweight BMI)	β: 32.68 (20.7)	—	R²: 0.0097	—	—
PPM012950	PGS002277 (pPS_Insulin_secretion_1)	PSS009629\| South Asian Ancestry\| 5,806 individuals	PGP000305 \| Siddiqui MK et al. Diabetologia (2022)	Reported Trait: Age at diagnosis (obese BMI)	β: 18.9 (10.76)	—	R²: 0.0036	—	—
PPM013067	PGS002308 (PRScsx_T2D)	PSS009671\| African Ancestry\| 6,745 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 1.7 [1.58, 1.84]	AUROC: 0.631	R²: 0.046	age, sex, top 10 PCs	—
PPM014804	PGS000036 (gePS_T2D)	PSS009893\| African Ancestry\| 366 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.574 [0.506, 0.643]	—	—	—
PPM014806	PGS000036 (gePS_T2D)	PSS009894\| Hispanic or Latin American Ancestry\| 412 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.722 [0.667, 0.778]	—	—	—
PPM014808	PGS000036 (gePS_T2D)	PSS009896\| Ancestry Not Reported\| 99 individuals	PGP000338 \| Oram RA et al. Diabetes Care (2022) \|Ext.	Reported Trait: Diabetes autoantibody positive insulin sensitive	—	AUROC: 0.677 [0.532, 0.822]	—	—	—
PPM013064	PGS002308 (PRScsx_T2D)	PSS009677\| European Ancestry\| 54,793 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 1.96 [1.91, 2.02]	AUROC: 0.793	R²: 0.092	age, sex, top 10 PCs, study site	—
PPM013065	PGS002308 (PRScsx_T2D)	PSS009676\| African Ancestry\| 12,472 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 1.54 [1.46, 1.64]	AUROC: 0.848	R²: 0.028	age, sex, top 10 PCs, study site	—
PPM013066	PGS002308 (PRScsx_T2D)	PSS009678\| Hispanic or Latin American Ancestry\| 2,374 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 2.08 [1.84, 2.35]	AUROC: 0.851	R²: 0.08	age, sex, top 10 PCs, study site	—
PPM013068	PGS002308 (PRScsx_T2D)	PSS009669\| African Ancestry\| 5,498 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 1.85 [1.7, 2.01]	AUROC: 0.633	R²: 0.036	age, sex, top 10 PCs	—
PPM013069	PGS002308 (PRScsx_T2D)	PSS009670\| African Ancestry\| 1,896 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 1.75 [1.52, 2.02]	AUROC: 0.757	R²: 0.062	age, sex, top 10 PCs	—
PPM013070	PGS002308 (PRScsx_T2D)	PSS009675\| African Ancestry\| 655 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 1.37 [1.13, 1.65]	AUROC: 0.631	R²: 0.015	age, sex, top 10 PCs	—
PPM013071	PGS002308 (PRScsx_T2D)	PSS009672\| East Asian Ancestry\| 25,110 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 2.19 [2.05, 2.33]	AUROC: 0.81	R²: 0.151	age, sex, top 10 PCs	—
PPM013072	PGS002308 (PRScsx_T2D)	PSS009673\| East Asian Ancestry\| 54,078 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 2.01 [1.93, 2.1]	AUROC: 0.781	R²: 0.129	age, sex, top 10 PCs	—
PPM013073	PGS002308 (PRScsx_T2D)	PSS009674\| East Asian Ancestry\| 10,378 individuals	PGP000331 \| Ge T et al. Genome Med (2022)	Reported Trait: Type 2 diabetes	OR: 2.16 [1.96, 2.38]	AUROC: 0.802	R²: 0.153	age, sex, top 10 PCs	—
PPM014821	PGS002733 (GRS17_T2D)	PSS009902\| European Ancestry\| 600 individuals	PGP000342 \| Pezzilli S et al. Diabetes Metab (2022)	Reported Trait: Early-onset type 2 diabetes	OR: 1.09 [1.01, 1.18]	—	—	—	—
PPM014822	PGS002733 (GRS17_T2D)	PSS009902\| European Ancestry\| 600 individuals	PGP000342 \| Pezzilli S et al. Diabetes Metab (2022)	Reported Trait: Early-onset type 2 diabetes in rare variant carriers	OR: 1.45 [1.15, 1.57]	—	—	—	—
PPM014823	PGS002733 (GRS17_T2D)	PSS009902\| European Ancestry\| 600 individuals	PGP000342 \| Pezzilli S et al. Diabetes Metab (2022)	Reported Trait: Early-onset type 2 diabetes in rare variant non-carriers	OR: 1.06 [1.01, 1.13]	—	—	—	—
PPM017184	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS010157\| Hispanic or Latin American Ancestry\| 1,484 individuals	PGP000445 \| Huerta-Chagoya A et al. Diabetologia (2023)	Reported Trait: type 2 diabetes	OR: 1.9 [1.65, 2.19]	AUROC: 0.7475	R²: 0.207	sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_EASweights	NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS0.5690198)+(zscoreLAT0.1465538)). See score development details for how to apply
PPM014979	PGS002779 (GTG_T2D_maxCT)	PSS009943\| European Ancestry\| 5,472 individuals	PGP000365 \| Wong CK et al. PLoS One (2022)	Reported Trait: Incident type 2 diabetes	OR: 1.35 [1.25, 1.45]	AUROC: 0.585 [0.564, 0.605]	—	—	—
PPM014980	PGS002780 (GTG_T2D_SCT)	PSS009943\| European Ancestry\| 5,472 individuals	PGP000365 \| Wong CK et al. PLoS One (2022)	Reported Trait: Incident type 2 diabetes	OR: 1.41 [1.31, 1.51]	AUROC: 0.595 [0.575, 0.615]	—	—	—
PPM015522	PGS000014 (GPS_T2D)	PSS009971\| Multi-ancestry (including European)\| 36,422 individuals	PGP000381 \| Hao L et al. Nat Med (2022) \|Ext.	Reported Trait: Type 2 diabetes mellitus	OR: 1.75 [1.57, 1.95]	—	—	4 genetic PCs	—
PPM014971	PGS002771 (Type_2_diabetes_prscs)	PSS009939\| European Ancestry\| 39,444 individuals	PGP000364 \| Mars N et al. Am J Hum Genet (2022)	Reported Trait: Type 2 diabetes	OR: 1.88 [1.82, 1.95]	—	—	age, sex, 10 PCs, technical covariates	—
PPM015992	PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.275 [1.23, 1.321] β: 0.243 (0.0184)	AUROC: 0.563 [0.546, 0.58]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015993	PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.524 [1.468, 1.583] β: 0.422 (0.0191)	AUROC: 0.616 [0.6, 0.63]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015994	PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.379 [1.329, 1.431] β: 0.321 (0.0189)	AUROC: 0.591 [0.574, 0.606]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015995	PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.6 [1.539, 1.664] β: 0.47 (0.0199)	AUROC: 0.625 [0.608, 0.639]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015996	PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.425 [1.373, 1.479] β: 0.354 (0.0191)	AUROC: 0.599 [0.582, 0.615]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015997	PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.011 [0.976, 1.047] β: 0.011 (0.0181)	AUROC: 0.5 [0.484, 0.517]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015998	PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.01 [0.989, 1.031] β: 0.00976 (0.0104)	AUROC: 0.501 [0.495, 0.507]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015999	PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.333 [1.286, 1.382] β: 0.287 (0.0184)	AUROC: 0.589 [0.572, 0.604]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016000	PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.522 [1.491, 1.554] β: 0.42 (0.0106)	AUROC: 0.616 [0.61, 0.622]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016001	PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.232 [1.189, 1.277] β: 0.209 (0.0181)	AUROC: 0.56 [0.545, 0.576]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016002	PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.392 [1.364, 1.42] β: 0.331 (0.0103)	AUROC: 0.59 [0.584, 0.596]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016003	PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.358 [1.31, 1.408] β: 0.306 (0.0183)	AUROC: 0.593 [0.577, 0.608]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016004	PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.522 [1.491, 1.554] β: 0.42 (0.0106)	AUROC: 0.616 [0.611, 0.622]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016005	PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.239 [1.196, 1.284] β: 0.214 (0.0181)	AUROC: 0.562 [0.546, 0.578]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016006	PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.406 [1.378, 1.435] β: 0.341 (0.0103)	AUROC: 0.594 [0.588, 0.6]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016007	PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.639 [1.577, 1.703] β: 0.494 (0.0196)	AUROC: 0.628 [0.611, 0.643]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016008	PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 3.061 [2.992, 3.132] β: 1.12 (0.0116)	AUROC: 0.778 [0.774, 0.783]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016009	PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.657 [1.595, 1.722] β: 0.505 (0.0196)	AUROC: 0.626 [0.609, 0.641]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016010	PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 3.959 [3.866, 4.055] β: 1.38 (0.0121)	AUROC: 0.825 [0.82, 0.829]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016011	PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.531 [1.474, 1.591] β: 0.426 (0.0193)	AUROC: 0.6 [0.585, 0.616]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016012	PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 3.755 [3.669, 3.844] β: 1.32 (0.0119)	AUROC: 0.816 [0.811, 0.82]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016013	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.704 [1.639, 1.772] β: 0.533 (0.0198)	AUROC: 0.637 [0.621, 0.653]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016014	PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 3.193 [3.12, 3.268] β: 1.16 (0.0118)	AUROC: 0.786 [0.782, 0.791]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016015	PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.531 [1.474, 1.591] β: 0.426 (0.0193)	AUROC: 0.6 [0.585, 0.616]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016016	PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 3.755 [3.669, 3.844] β: 1.32 (0.0119)	AUROC: 0.816 [0.811, 0.82]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016017	PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.028 [0.992, 1.065] β: 0.0276 (0.0182)	AUROC: 0.541 [0.523, 0.557]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016018	PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.009 [0.988, 1.03] β: 0.00858 (0.0105)	AUROC: 0.547 [0.541, 0.552]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016019	PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.536 [1.479, 1.596] β: 0.429 (0.0195)	AUROC: 0.611 [0.595, 0.626]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016020	PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.662 [1.628, 1.698] β: 0.508 (0.0107)	AUROC: 0.639 [0.634, 0.645]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016021	PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.33 [1.283, 1.379] β: 0.285 (0.0184)	AUROC: 0.572 [0.555, 0.588]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016022	PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.451 [1.421, 1.48] β: 0.372 (0.0104)	AUROC: 0.603 [0.597, 0.609]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016023	PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.563 [1.504, 1.624] β: 0.446 (0.0195)	AUROC: 0.61 [0.594, 0.625]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016025	PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120)	PSS010014\| European Ancestry\| 21,356 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.33 [1.283, 1.379] β: 0.285 (0.0184)	AUROC: 0.572 [0.555, 0.588]	—	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016024	PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.715 [1.679, 1.752] β: 0.539 (0.0107)	AUROC: 0.648 [0.642, 0.654]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016026	PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120)	PSS010036\| European Ancestry\| 203,197 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Type 2 Diabetes	OR: 1.451 [1.421, 1.48] β: 0.372 (0.0104)	AUROC: 0.603 [0.597, 0.609]	—	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM016201	PGS003353 (GRS_T2D)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: Fasting plasma glucose	OR: 1.83 [1.59, 2.11]	—	—	—	—
PPM016202	PGS003353 (GRS_T2D)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: Hemoglobin A1c level	OR: 1.68 [1.46, 1.93]	—	—	—	—
PPM016203	PGS003353 (GRS_T2D)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: Type 2 diabetes	OR: 2.99 [2.61, 3.44]	—	—	—	—
PPM016204	PGS003353 (GRS_T2D)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: Fasting plasma glucose and Type 2 diabetes	OR: 3.52 [2.69, 4.61]	—	—	—	—
PPM017032	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: Fasting glucose	β: 0.085 [0.067, 0.103]	—	—	first five principal components (PCs)	—
PPM017033	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: 2h postload glucose	β: 0.207 [0.157, 0.257]	—	—	first five principal components (PCs)	—
PPM017034	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: AUC glucose	β: 0.155 [0.125, 0.184]	—	—	first five principal components (PCs)	—
PPM017035	PGS003402 (PRS_T2D)	PSS010101\| South Asian Ancestry\| 3,712 individuals	PGP000419 \| Lamri A et al. Elife (2022)	Reported Trait: GDM (IADPSG criteria)	OR: 1.45 [1.32, 1.6]	—	—	first five principal components (PCs)	—
PPM014093	PGS002573 (disease_T2D.P+T.1e-06)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013119	PGS002354 (disease_T2D.BOLT-LMM)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0047	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013168	PGS002354 (disease_T2D.BOLT-LMM)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0025	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013217	PGS002354 (disease_T2D.BOLT-LMM)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0135	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013266	PGS002354 (disease_T2D.BOLT-LMM)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0218	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013291	PGS002379 (disease_T2D.BOLT-LMM-BBJ)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0008	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013314	PGS002379 (disease_T2D.BOLT-LMM-BBJ)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0148	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013360	PGS002379 (disease_T2D.BOLT-LMM-BBJ)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0091	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013407	PGS002426 (disease_T2D.P+T.0.0001)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0001	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013505	PGS002426 (disease_T2D.P+T.0.0001)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013554	PGS002426 (disease_T2D.P+T.0.0001)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013603	PGS002475 (disease_T2D.P+T.0.001)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013652	PGS002475 (disease_T2D.P+T.0.001)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0041	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013701	PGS002475 (disease_T2D.P+T.0.001)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013799	PGS002524 (disease_T2D.P+T.0.01)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0002	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013848	PGS002524 (disease_T2D.P+T.0.01)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0033	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013897	PGS002524 (disease_T2D.P+T.0.01)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013946	PGS002524 (disease_T2D.P+T.0.01)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013995	PGS002573 (disease_T2D.P+T.1e-06)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014044	PGS002573 (disease_T2D.P+T.1e-06)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014142	PGS002573 (disease_T2D.P+T.1e-06)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014191	PGS002622 (disease_T2D.P+T.5e-08)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014240	PGS002622 (disease_T2D.P+T.5e-08)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0002	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014289	PGS002622 (disease_T2D.P+T.5e-08)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014387	PGS002671 (disease_T2D.PolyFun-pred)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0047	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014436	PGS002671 (disease_T2D.PolyFun-pred)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0072	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014485	PGS002671 (disease_T2D.PolyFun-pred)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0128	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014534	PGS002671 (disease_T2D.PolyFun-pred)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0251	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014583	PGS002720 (disease_T2D.SBayesR)	PSS009859\| African Ancestry\| 6,503 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.006	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014632	PGS002720 (disease_T2D.SBayesR)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0021	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014681	PGS002720 (disease_T2D.SBayesR)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0129	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013337	PGS002379 (disease_T2D.BOLT-LMM-BBJ)	PSS009861\| European Ancestry\| 43,505 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0026	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013456	PGS002426 (disease_T2D.P+T.0.0001)	PSS009860\| East Asian Ancestry\| 922 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0032	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014730	PGS002720 (disease_T2D.SBayesR)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0207	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013750	PGS002475 (disease_T2D.P+T.0.001)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014338	PGS002622 (disease_T2D.P+T.5e-08)	PSS009862\| South Asian Ancestry\| 8,098 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (full model vs. covariates alone): 0.0001	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM017182	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS010157\| Hispanic or Latin American Ancestry\| 1,484 individuals	PGP000445 \| Huerta-Chagoya A et al. Diabetologia (2023)	Reported Trait: type 2 diabetes	OR: 1.9 [1.65, 2.19]	AUROC: 0.7475	R²: 0.207	sex, age, PCs(1-10), PRScsx_T2D_LAT_EASweights, PRScsx_T2D_LAT_LATweights	NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS0.5690198)+(zscoreLAT0.1465538)). See score development details for how to apply
PPM017183	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS010157\| Hispanic or Latin American Ancestry\| 1,484 individuals	PGP000445 \| Huerta-Chagoya A et al. Diabetologia (2023)	Reported Trait: type 2 diabetes	OR: 1.9 [1.65, 2.19]	AUROC: 0.7475	R²: 0.207	sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_LATweights	NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS0.5690198)+(zscoreLAT0.1465538)). See score development details for how to apply
PPM018469	PGS003729 (PS_T2D_293-DIAGRAM)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.27 [1.17, 1.38]	AUROC: 0.735	Net reclassification improvement: 0.27 [0.149, 0.392] ∆AUC: 0.007 [0.001, 0.014]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018470	PGS003735 (PS_T2D_276-AFR-DIAMANTE)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.13 [1.04, 1.22]	—	∆AUC: 0.003 [0.0, 0.007] Net reclassification improvement: 0.181 [0.047, 0.316]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018471	PGS003730 (PS_T2D_287-DIAMANTE)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.2 [1.1, 1.3]	—	Net reclassification improvement: 0.216 [0.094, 0.338] ∆AUC: 0.004 [-0.001, 0.009]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018472	PGS003734 (PS_T2D_280-EAS-DIAMANTE)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.13 [1.04, 1.23]	—	Net reclassification improvement: 0.115 [-0.014, 0.244] ∆AUC: 0.001 [-0.002, 0.005]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018473	PGS003733 (PS_T2D_287-EUR-DIAMANTE)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.21 [1.12, 1.32]	—	Net reclassification improvement: 0.277 [0.156, 0.397] ∆AUC: 0.005 [0.0, 0.011]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018474	PGS003732 (PS_T2D_287-HIS-DIAMANTE)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.18 [1.09, 1.29]	—	Net reclassification improvement: 0.219 [0.097, 0.34] ∆AUC: 0.004 [-0.001, 0.008]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018475	PGS003731 (PS_T2D_282-SAS-DIAMANTE)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.19 [1.09, 1.29]	—	Net reclassification improvement: 0.181 [0.054, 0.308] ∆AUC: 0.004 [-0.001, 0.009]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018476	PGS003728 (PS_T2D_183-AGEN)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.28 [1.12, 1.46]	—	Net reclassification improvement: 0.331 [0.141, 0.521] ∆AUC: 0.005 [-0.003, 0.012]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018477	PGS003729 (PS_T2D_293-DIAGRAM)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.49 [1.29, 1.72]	AUROC: 0.812	Net reclassification improvement: 0.268 [0.072, 0.464] ∆AUC: 0.007 [-0.003, 0.017]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018478	PGS003735 (PS_T2D_276-AFR-DIAMANTE)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.21 [1.06, 1.38]	—	Net reclassification improvement: 0.185 [-0.017, 0.388] ∆AUC: 0.005 [-0.001, 0.01]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018479	PGS003730 (PS_T2D_287-DIAMANTE)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.34 [1.17, 1.54]	—	Net reclassification improvement: 0.314 [0.116, 0.512] ∆AUC: 0.004 [-0.001, 0.009]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018480	PGS003734 (PS_T2D_280-EAS-DIAMANTE)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.19 [1.04, 1.36]	—	Net reclassification improvement: 0.182 [-0.019, 0.383] ∆AUC: 0.001 [-0.004, 0.007]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018481	PGS003733 (PS_T2D_287-EUR-DIAMANTE)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.37 [1.19, 1.58]	—	Net reclassification improvement: 0.296 [0.09, 0.502] ∆AUC: 0.008 [-0.001, 0.017]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018482	PGS003732 (PS_T2D_287-HIS-DIAMANTE)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.32 [1.15, 1.51]	—	Net reclassification improvement: 0.15 [-0.054, 0.354] ∆AUC: 0.006 [-0.001, 0.014]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018483	PGS003731 (PS_T2D_282-SAS-DIAMANTE)	PSS010984\| Additional Diverse Ancestries\| 2,229 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up)	HR: 1.35 [1.18, 1.56]	—	Net reclassification improvement: 0.302 [0.089, 0.515] ∆AUC: 0.002 [-0.007, 0.012]	age, sex, parental diabetes, modified BMI z score, fasting plasma glucose	—
PPM018484	PGS003728 (PS_T2D_183-AGEN)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.27 [1.15, 1.39]	—	Net reclassification improvement: 0.164 [0.025, 0.303] ∆AUC: 0.037 [0.013, 0.06]	sex, parental diabetes, and birth weight	—
PPM018485	PGS003729 (PS_T2D_293-DIAGRAM)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.48 [1.35, 1.63]	AUROC: 0.685	Net reclassification improvement: 0.362 [0.222, 0.502] ∆AUC: 0.072 [0.045, 0.099]	sex, parental diabetes, and birth weight	—
PPM018486	PGS003735 (PS_T2D_276-AFR-DIAMANTE)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.28 [1.16, 1.41]	—	Net reclassification improvement: 0.231 [0.091, 0.376] ∆AUC: 0.042 [0.019, 0.065]	sex, parental diabetes, and birth weight	—
PPM018487	PGS003730 (PS_T2D_287-DIAMANTE)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.45 [1.32, 1.6]	—	Net reclassification improvement: 0.259 [0.115, 0.403] ∆AUC: 0.073	sex, parental diabetes, and birth weight	—
PPM018488	PGS003734 (PS_T2D_280-EAS-DIAMANTE)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.33 [1.22, 1.46]	—	Net reclassification improvement: 0.176 [0.029, 0.323] ∆AUC: 0.052 [0.026, 0.077]	sex, parental diabetes, and birth weight	—
PPM018489	PGS003733 (PS_T2D_287-EUR-DIAMANTE)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.47 [1.33, 1.62]	—	Net reclassification improvement: 0.328 [0.183, 0.474] ∆AUC: 0.075 [0.048, 0.102]	sex, parental diabetes, and birth weight	—
PPM018490	PGS003732 (PS_T2D_287-HIS-DIAMANTE)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.4 [1.28, 1.55]	—	Net reclassification improvement: 0.277 [0.125, 0.428] ∆AUC: 0.072 [0.046, 0.099]	sex, parental diabetes, and birth weight	—
PPM018491	PGS003731 (PS_T2D_282-SAS-DIAMANTE)	PSS010983\| Additional Diverse Ancestries\| 2,894 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up)	HR: 1.32 [1.2, 1.45]	—	Net reclassification improvement: 0.201 [0.057, 0.306] ∆AUC: 0.054 [0.031, 0.077]	sex, parental diabetes, and birth weight	—
PPM018468	PGS003728 (PS_T2D_183-AGEN)	PSS010982\| Additional Diverse Ancestries\| 2,333 individuals	PGP000469 \| Wedekind LE et al. Diabetologia (2023)	Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up)	HR: 1.14 [1.06, 1.24]	—	Net reclassification improvement: 0.115 [-0.014, 0.244] ∆AUC: 0.001 [-0.003, 0.005]	age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.	—
PPM018510	PGS003751 (ModelT2D_over45)	PSS011003\| European Ancestry\| 122,144 individuals	PGP000472 \| Shoaib M et al. Genet Epidemiol (2023)	Reported Trait: Type 2 diabetes with age of diagnosis over 45	—	AUROC: 0.596	Nagelkerke R2: 0.016	—	—
PPM018511	PGS003752 (ModelT2D)	PSS011002\| European Ancestry\| 125,189 individuals	PGP000472 \| Shoaib M et al. Genet Epidemiol (2023)	Reported Trait: Type 2 diabetes	—	AUROC: 0.578	Nagelkerke R2: 0.014	—	—
PPM018513	PGS003751 (ModelT2D_over45)	PSS011000\| European Ancestry\| 7,067 individuals	PGP000472 \| Shoaib M et al. Genet Epidemiol (2023)	Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes	—	AUROC: 0.527	—	—	—
PPM018759	PGS003867 (T2D_PRScs_ARB)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Type 2 diabetes	OR: 1.83 [1.74, 1.92]	AUROC: 0.7384 [0.7194, 0.7574]	—	age, sex, array version, and the first 10 principal components of ancestry	—
PPM019100	PGS000014 (GPS_T2D)	PSS011181\| Ancestry Not Reported\| 3,071 individuals	PGP000504 \| Duschek E et al. Sci Rep (2023) \|Ext.	Reported Trait: Incident type 2 diabetes	—	AUROC: 0.613 [0.565, 0.657]	—	—	—
PPM019098	PGS000014 (GPS_T2D)	PSS011181\| Ancestry Not Reported\| 3,071 individuals	PGP000504 \| Duschek E et al. Sci Rep (2023) \|Ext.	Reported Trait: Incident type 2 diabetes	OR: 1.67 [1.37, 2.03]	—	—	Age, Sex, BMI, Physical activity, FamRS	—
PPM019099	PGS000014 (GPS_T2D)	PSS011181\| Ancestry Not Reported\| 3,071 individuals	PGP000504 \| Duschek E et al. Sci Rep (2023) \|Ext.	Reported Trait: Prevelant type 2 diabetes	—	AUROC: 0.869 [0.842, 0.896]	—	—	—
PPM019097	PGS000014 (GPS_T2D)	PSS011181\| Ancestry Not Reported\| 3,071 individuals	PGP000504 \| Duschek E et al. Sci Rep (2023) \|Ext.	Reported Trait: Prevelant type 2 diabetes	OR: 6.21 [5.06, 7.74]	—	—	Age, Sex, BMI, Physical activity, FamRS	—
PPM019293	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.51531 [1.48775049, 1.54337132] β: 0.41562 [0.39726524, 0.4339692]	AUROC: 0.61526 [0.61016173, 0.62035426]	R²: 0.03936 [0.03588686, 0.04267541]	0	beta = log(or)/sd_pgs
PPM019294	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.52599 [1.51226031, 1.53985401] β: 0.42265 [0.41360543, 0.43168762]	AUROC: 0.61628 [0.6138334, 0.6187205]	R²: 0.03978 [0.03807705, 0.04144329]	0	beta = log(or)/sd_pgs
PPM019295	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.29096 [1.25725452, 1.32556441] β: 0.25538 [0.22893039, 0.28183834]	AUROC: 0.57087 [0.56343441, 0.57829789]	R²: 0.02046 [0.01630724, 0.02459481]	0	beta = log(or)/sd_pgs
PPM019296	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.55991 [1.50928857, 1.61222949] β: 0.44463 [0.41163839, 0.477618]	AUROC: 0.62359 [0.61472012, 0.63245927]	R²: 0.04444 [0.03850418, 0.0507231]	0	beta = log(or)/sd_pgs
PPM019297	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.41025 [1.34103388, 1.48302904] β: 0.34376 [0.29344087, 0.39408665]	AUROC: 0.59548 [0.58167722, 0.60927774]	R²: 0.03643 [0.02686064, 0.04771182]	0	beta = log(or)/sd_pgs
PPM019298	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.6442 [1.60047798, 1.68911893] β: 0.49725 [0.47030232, 0.52420705]	AUROC: 0.63598 [0.62882156, 0.64314397]	R²: 0.05494 [0.04954485, 0.06082436]	0	beta = log(or)/sd_pgs
PPM019299	PGS004106 (pt_clump.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.25413 [1.23159004, 1.27707908] β: 0.22644 [0.20830605, 0.2445755]	AUROC: 0.56403 [0.55881253, 0.56924282]	R²: 0.01187 [0.00997649, 0.01382892]	0	beta = log(or)/sd_pgs
PPM019300	PGS004106 (pt_clump.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.2706 [1.2594811, 1.28182511] β: 0.23949 [0.23069981, 0.24828493]	AUROC: 0.56766 [0.56515777, 0.57015874]	R²: 0.01318 [0.01221912, 0.01411644]	0	beta = log(or)/sd_pgs
PPM019301	PGS004106 (pt_clump.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.1856 [1.15490323, 1.21712273] β: 0.17025 [0.14401656, 0.19648965]	AUROC: 0.54709 [0.5396201, 0.55455013]	R²: 0.00921 [0.00651707, 0.01198558]	0	beta = log(or)/sd_pgs
PPM019302	PGS004106 (pt_clump.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.30688 [1.26507981, 1.35006987] β: 0.26765 [0.23513521, 0.30015635]	AUROC: 0.57537 [0.56607472, 0.58467319]	R²: 0.01643 [0.0128354, 0.0202509]	0	beta = log(or)/sd_pgs
PPM019303	PGS004106 (pt_clump.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.25033 [1.19003292, 1.31369168] β: 0.22341 [0.17398097, 0.27284125]	AUROC: 0.55908 [0.54504874, 0.57311861]	R²: 0.01574 [0.00986198, 0.02399144]	0	beta = log(or)/sd_pgs
PPM019304	PGS004106 (pt_clump.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.32877 [1.29422201, 1.36424846] β: 0.28426 [0.25790975, 0.3106037]	AUROC: 0.57939 [0.5719205, 0.58685014]	R²: 0.01854 [0.01531842, 0.02237953]	0	beta = log(or)/sd_pgs
PPM019305	PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.32208 [1.29812327, 1.34647465] β: 0.2792 [0.26091958, 0.29748981]	AUROC: 0.57929 [0.57408311, 0.58449619]	R²: 0.01777 [0.01554972, 0.02010384]	0	beta = log(or)/sd_pgs
PPM019306	PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.34756 [1.3356256, 1.35959664] β: 0.29829 [0.2893998, 0.30718806]	AUROC: 0.5835 [0.58101723, 0.58599044]	R²: 0.0201 [0.0188679, 0.02123087]	0	beta = log(or)/sd_pgs
PPM019307	PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.21072 [1.17930366, 1.24298033] β: 0.19122 [0.16492415, 0.21751199]	AUROC: 0.55374 [0.5462507, 0.56123054]	R²: 0.01157 [0.0086349, 0.01494545]	0	beta = log(or)/sd_pgs
PPM019308	PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.36428 [1.32041418, 1.40961332] β: 0.31063 [0.27794546, 0.34331543]	AUROC: 0.58615 [0.57696249, 0.59533435]	R²: 0.02192 [0.01765058, 0.02671499]	0	beta = log(or)/sd_pgs
PPM019309	PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.28905 [1.2267795, 1.35447809] β: 0.2539 [0.20439244, 0.3034162]	AUROC: 0.56815 [0.55421333, 0.58208264]	R²: 0.02033 [0.01357066, 0.03003431]	0	beta = log(or)/sd_pgs
PPM019310	PGS004122 (pt_clump_nested.CV.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.41752 [1.38024499, 1.45579601] β: 0.34891 [0.32226101, 0.37555284]	AUROC: 0.59713 [0.58971201, 0.60454498]	R²: 0.02739 [0.02355217, 0.03167091]	0	beta = log(or)/sd_pgs
PPM019312	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.50796 [1.49440047, 1.5216482] β: 0.41076 [0.4017251, 0.41979409]	AUROC: 0.61324 [0.61079898, 0.61568516]	R²: 0.03754 [0.03585406, 0.03910114]	0	beta = log(or)/sd_pgs
PPM019313	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.26658 [1.23348533, 1.30057203] β: 0.23632 [0.20984376, 0.26280419]	AUROC: 0.56588 [0.55844642, 0.57332026]	R²: 0.01747 [0.01366707, 0.02126159]	0	beta = log(or)/sd_pgs
PPM019314	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.53274 [1.48305093, 1.58408596] β: 0.42705 [0.39410141, 0.46000756]	AUROC: 0.61891 [0.610046, 0.627782]	R²: 0.04102 [0.03528638, 0.04680279]	0	beta = log(or)/sd_pgs
PPM019315	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.40966 [1.3404092, 1.48248962] β: 0.34335 [0.29297494, 0.39372285]	AUROC: 0.59521 [0.58145316, 0.60895737]	R²: 0.03626 [0.02742268, 0.04735748]	0	beta = log(or)/sd_pgs
PPM019316	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.6067 [1.56412308, 1.65044514] β: 0.47419 [0.44732533, 0.50104504]	AUROC: 0.63025 [0.62305251, 0.63744286]	R²: 0.05021 [0.04509727, 0.0558259]	0	beta = log(or)/sd_pgs
PPM019317	PGS004136 (sbayesr.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.48356 [1.45656875, 1.51105242] β: 0.39444 [0.3760835, 0.41280637]	AUROC: 0.6093 [0.60418883, 0.61441369]	R²: 0.03537 [0.03199906, 0.03839572]	0	beta = log(or)/sd_pgs
PPM019319	PGS004136 (sbayesr.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.28557 [1.25203483, 1.32001069] β: 0.2512 [0.22477009, 0.27763983]	AUROC: 0.5697 [0.56226507, 0.57713901]	R²: 0.01982 [0.01568424, 0.02397061]	0	beta = log(or)/sd_pgs
PPM019320	PGS004136 (sbayesr.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.54343 [1.49343881, 1.59509464] β: 0.43401 [0.40108139, 0.46693307]	AUROC: 0.62044 [0.61153443, 0.62934548]	R²: 0.04245 [0.03633636, 0.04881292]	0	beta = log(or)/sd_pgs
PPM019321	PGS004136 (sbayesr.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.4041 [1.33507679, 1.47668873] β: 0.3394 [0.28898881, 0.38980223]	AUROC: 0.59558 [0.58182965, 0.60933726]	R²: 0.03537 [0.02663293, 0.04614328]	0	beta = log(or)/sd_pgs
PPM019322	PGS004136 (sbayesr.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.60963 [1.5668847, 1.65354217] β: 0.476 [0.44908938, 0.50291976]	AUROC: 0.63025 [0.62302729, 0.63747798]	R²: 0.0504 [0.04500444, 0.05611303]	0	beta = log(or)/sd_pgs
PPM019323	PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.53171 [1.50382282, 1.5601111] β: 0.42638 [0.40801042, 0.44475704]	AUROC: 0.61867 [0.61359828, 0.62375062]	R²: 0.04136 [0.03772802, 0.04482097]	0	beta = log(or)/sd_pgs
PPM019324	PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.5534 [1.53937109, 1.56756375] β: 0.44045 [0.43137395, 0.44952266]	AUROC: 0.62105 [0.61861295, 0.62348122]	R²: 0.04301 [0.04122648, 0.04471885]	0	beta = log(or)/sd_pgs
PPM019325	PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.29976 [1.26573059, 1.33469955] β: 0.26218 [0.2356495, 0.28870621]	AUROC: 0.57269 [0.5652475, 0.5801288]	R²: 0.02145 [0.01712266, 0.02558285]	0	beta = log(or)/sd_pgs
PPM019326	PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.57552 [1.52430263, 1.62846513] β: 0.45459 [0.42153702, 0.48763793]	AUROC: 0.62667 [0.61784608, 0.6354948]	R²: 0.04629 [0.03997767, 0.05259807]	0	beta = log(or)/sd_pgs
PPM019327	PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.44083 [1.36975233, 1.51560089] β: 0.36522 [0.31462994, 0.41581199]	AUROC: 0.60119 [0.58740273, 0.6149758]	R²: 0.04079 [0.03137071, 0.05259115]	0	beta = log(or)/sd_pgs
PPM019328	PGS004152 (UKBB_EnsPGS.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.66922 [1.62479997, 1.71484963] β: 0.51236 [0.48538472, 0.5393254]	AUROC: 0.64008 [0.63295026, 0.64720264]	R²: 0.05835 [0.05271686, 0.06428647]	0	beta = log(or)/sd_pgs
PPM019329	PGS004024 (ldpred2.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.48498 [1.45793137, 1.51252123] β: 0.3954 [0.37701856, 0.41377795]	AUROC: 0.60995 [0.60483983, 0.61506038]	R²: 0.03546 [0.03228635, 0.0385679]	0	beta = log(or)/sd_pgs
PPM019330	PGS004024 (ldpred2.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.50219 [1.48869396, 1.51581347] β: 0.40693 [0.3978992, 0.41595224]	AUROC: 0.61207 [0.60961733, 0.61451762]	R²: 0.03689 [0.03526669, 0.03854021]	0	beta = log(or)/sd_pgs
PPM019331	PGS004024 (ldpred2.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.2876 [1.25396854, 1.32213952] β: 0.25278 [0.22631335, 0.27925127]	AUROC: 0.57005 [0.56262472, 0.57747218]	R²: 0.02002 [0.01580636, 0.02425789]	0	beta = log(or)/sd_pgs
PPM019332	PGS004024 (ldpred2.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.53513 [1.48527841, 1.5866465] β: 0.42861 [0.39560223, 0.46162267]	AUROC: 0.61957 [0.61065671, 0.62847491]	R²: 0.04118 [0.03531011, 0.04724008]	0	beta = log(or)/sd_pgs
PPM019333	PGS004024 (ldpred2.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.39993 [1.3312816, 1.47211067] β: 0.33642 [0.28614209, 0.3866972]	AUROC: 0.59208 [0.57821586, 0.60594979]	R²: 0.03491 [0.02535025, 0.04607037]	0	beta = log(or)/sd_pgs
PPM019334	PGS004024 (ldpred2.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.608 [1.56527667, 1.65189658] β: 0.47499 [0.4480626, 0.50192407]	AUROC: 0.62927 [0.62203707, 0.63651076]	R²: 0.05011 [0.04486623, 0.05593798]	0	beta = log(or)/sd_pgs
PPM019335	PGS004052 (megaprs.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.51227 [1.48473504, 1.54032011] β: 0.41361 [0.39523633, 0.43199026]	AUROC: 0.61519 [0.61009733, 0.62027538]	R²: 0.03887 [0.03526361, 0.04197686]	0	beta = log(or)/sd_pgs
PPM019337	PGS004052 (megaprs.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.2863 [1.25264347, 1.32086195] β: 0.25177 [0.2252561, 0.27828451]	AUROC: 0.57001 [0.56255968, 0.57745664]	R²: 0.01979 [0.01571473, 0.02380638]	0	beta = log(or)/sd_pgs
PPM019338	PGS004052 (megaprs.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	β: 0.43541 [0.40237992, 0.46844556] OR: 1.5456 [1.49537934, 1.59750903]	AUROC: 0.6216 [0.61275773, 0.63044257]	R²: 0.04245 [0.0366842, 0.04862483]	0	beta = log(or)/sd_pgs
PPM019339	PGS004052 (megaprs.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.4232 [1.35315323, 1.49688143] β: 0.35291 [0.30243759, 0.4033839]	AUROC: 0.59803 [0.58420574, 0.61184824]	R²: 0.03821 [0.02906588, 0.04987531]	0	beta = log(or)/sd_pgs
PPM019340	PGS004052 (megaprs.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.64766 [1.60386839, 1.69264683] β: 0.49936 [0.47241846, 0.52629348]	AUROC: 0.63712 [0.62999838, 0.6442459]	R²: 0.05548 [0.04987829, 0.06115078]	0	beta = log(or)/sd_pgs
PPM019341	PGS004068 (megaprs.CV.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.51406 [1.4864796, 1.5421527] β: 0.41479 [0.39641064, 0.4331793]	AUROC: 0.61559 [0.61050645, 0.62067071]	R²: 0.03906 [0.03539714, 0.04224136]	0	beta = log(or)/sd_pgs
PPM019342	PGS004068 (megaprs.CV.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.54026 [1.52634867, 1.55428877] β: 0.43195 [0.4228784, 0.44101806]	AUROC: 0.61879 [0.61634938, 0.62122346]	R²: 0.04134 [0.03958426, 0.04297594]	0	beta = log(or)/sd_pgs
PPM019343	PGS004068 (megaprs.CV.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.28668 [1.25301209, 1.32124311] β: 0.25206 [0.22555032, 0.27857304]	AUROC: 0.57009 [0.5626455, 0.57753118]	R²: 0.01984 [0.01565192, 0.02384042]	0	beta = log(or)/sd_pgs
PPM019344	PGS004068 (megaprs.CV.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.55065 [1.50025034, 1.60275072] β: 0.43868 [0.40563199, 0.47172135]	AUROC: 0.62234 [0.61350571, 0.63117408]	R²: 0.04307 [0.03717444, 0.04938557]	0	beta = log(or)/sd_pgs
PPM019345	PGS004068 (megaprs.CV.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.42683 [1.35660022, 1.50069661] β: 0.35546 [0.30498173, 0.40592941]	AUROC: 0.59875 [0.58494945, 0.61254981]	R²: 0.03877 [0.03005182, 0.05083233]	0	beta = log(or)/sd_pgs
PPM019346	PGS004068 (megaprs.CV.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.65089 [1.6070244, 1.69594574] β: 0.50131 [0.47438427, 0.52824054]	AUROC: 0.63771 [0.63058745, 0.64483568]	R²: 0.05597 [0.05046745, 0.06184224]	0	beta = log(or)/sd_pgs
PPM019347	PGS004082 (prscs.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	β: 0.40526 [0.38690803, 0.42360811] OR: 1.49969 [1.47242107, 1.52746288]	AUROC: 0.61165 [0.60654127, 0.61676488]	R²: 0.0374 [0.03410383, 0.04077767]	0	beta = log(or)/sd_pgs
PPM019348	PGS004082 (prscs.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.49743 [1.48396523, 1.51101149] β: 0.40375 [0.39471771, 0.41277929]	AUROC: 0.61097 [0.60852214, 0.6134248]	R²: 0.03625 [0.03467278, 0.03781105]	0	beta = log(or)/sd_pgs
PPM019349	PGS004082 (prscs.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.26384 [1.23082512, 1.29774721] β: 0.23416 [0.20768477, 0.26062985]	AUROC: 0.56445 [0.55702106, 0.57188388]	R²: 0.01716 [0.01343019, 0.02100019]	0	beta = log(or)/sd_pgs
PPM019350	PGS004082 (prscs.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.52107 [1.47183004, 1.57196502] β: 0.41942 [0.38650655, 0.45232644]	AUROC: 0.61739 [0.60847565, 0.62630934]	R²: 0.03965 [0.03410751, 0.04592409]	0	beta = log(or)/sd_pgs
PPM019351	PGS004082 (prscs.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.37392 [1.30679117, 1.44449653] β: 0.31767 [0.26757464, 0.36776084]	AUROC: 0.58853 [0.57475845, 0.60231007]	R²: 0.03129 [0.02267109, 0.0409979]	0	beta = log(or)/sd_pgs
PPM019352	PGS004082 (prscs.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.61184 [1.56906249, 1.6557754] β: 0.47737 [0.4504783, 0.50426942]	AUROC: 0.63222 [0.62508084, 0.63936226]	R²: 0.05074 [0.04564637, 0.05604187]	0	beta = log(or)/sd_pgs
PPM019353	PGS003998 (lassosum.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.42404 [1.39831656, 1.45023057] β: 0.3535 [0.33526905, 0.37172256]	AUROC: 0.6001 [0.5949638, 0.60523418]	R²: 0.02877 [0.02596878, 0.03167576]	0	beta = log(or)/sd_pgs
PPM019354	PGS003998 (lassosum.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.43926 [1.4264734, 1.45215664] β: 0.36413 [0.35520524, 0.37304979]	AUROC: 0.60126 [0.59879824, 0.60372757]	R²: 0.03005 [0.02852958, 0.03166569]	0	beta = log(or)/sd_pgs
PPM019355	PGS003998 (lassosum.auto.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.2647 [1.2318407, 1.29842958] β: 0.23483 [0.20850956, 0.26115552]	AUROC: 0.56606 [0.55863241, 0.57349723]	R²: 0.01746 [0.01370114, 0.02166157]	0	beta = log(or)/sd_pgs
PPM019356	PGS003998 (lassosum.auto.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.47667 [1.42926706, 1.52563798] β: 0.38979 [0.35716177, 0.42241267]	AUROC: 0.60946 [0.60043401, 0.61848076]	R²: 0.03481 [0.0294737, 0.04043389]	0	beta = log(or)/sd_pgs
PPM019357	PGS003998 (lassosum.auto.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.36032 [1.29404504, 1.42999081] β: 0.30772 [0.257773, 0.35766802]	AUROC: 0.58489 [0.57096818, 0.59881673]	R²: 0.0295 [0.02093187, 0.03970218]	0	beta = log(or)/sd_pgs
PPM019358	PGS003998 (lassosum.auto.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.53698 [1.49660351, 1.57844167] β: 0.42982 [0.40319821, 0.45643808]	AUROC: 0.61777 [0.61048014, 0.62506893]	R²: 0.04189 [0.03709939, 0.0473467]	0	beta = log(or)/sd_pgs
PPM019359	PGS004014 (lassosum.CV.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.48322 [1.45615074, 1.51080124] β: 0.39422 [0.37579648, 0.41264014]	AUROC: 0.60927 [0.60413864, 0.61439251]	R²: 0.03509 [0.03201869, 0.03821307]	0	beta = log(or)/sd_pgs
PPM019360	PGS004014 (lassosum.CV.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.47356 [1.46033248, 1.48689992] β: 0.38768 [0.37866414, 0.39669336]	AUROC: 0.60683 [0.60437322, 0.60929321]	R²: 0.03346 [0.03183656, 0.03503368]	0	beta = log(or)/sd_pgs
PPM019361	PGS004014 (lassosum.CV.GCST004773.T2D)	PSS011249\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.25868 [1.22581085, 1.29243541] β: 0.23007 [0.20360255, 0.25652836]	AUROC: 0.56368 [0.55624844, 0.57110807]	R²: 0.01657 [0.01281642, 0.02064047]	0	beta = log(or)/sd_pgs
PPM019362	PGS004014 (lassosum.CV.GCST004773.T2D)	PSS011265\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.49153 [1.44309715, 1.54158666] β: 0.3998 [0.3667916, 0.43281218]	AUROC: 0.61121 [0.60229023, 0.62012308]	R²: 0.03578 [0.03034362, 0.04158213]	0	beta = log(or)/sd_pgs
PPM019364	PGS004014 (lassosum.CV.GCST004773.T2D)	PSS011278\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.57088 [1.52910276, 1.61379743] β: 0.45164 [0.42468113, 0.47859006]	AUROC: 0.62377 [0.61654532, 0.63100089]	R²: 0.04513 [0.04017358, 0.05012104]	0	beta = log(or)/sd_pgs
PPM020115	PGS004182 (t2d_2)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Type 2 diabetes	—	AUROC: 0.69491	—	year of birth, sex	—
PPM020116	PGS004183 (t2d_3)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Type 2 diabetes	—	AUROC: 0.69959	—	year of birth, sex	—
PPM020117	PGS004184 (t2d_4)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Type 2 diabetes	—	AUROC: 0.69539	—	year of birth, sex	—
PPM020118	PGS004185 (t2d_5)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Type 2 diabetes	—	AUROC: 0.69924	—	year of birth, sex	—
PPM020217	PGS004225 (PRS46_T2DEastAsia)	PSS011306\| East Asian Ancestry\| 5,024 individuals	PGP000526 \| Liu J et al. Nutrients (2023)	Reported Trait: Type 2 diabetes with lifestyle group	—	—	Hazard ratio (HR, poor lifestyle and high PRS vs. ideal lifestyle and low PRS): 3.93 [2.07, 7.44]	—	—
PPM020158	PGS004223 (PRS139_T2D)	PSS011299\| European Ancestry\| 395,809 individuals	PGP000523 \| Lin J et al. Sci Total Environ (2023)	Reported Trait: Incident type 2 diabetes	HR: 1.5 [1.48, 1.52]	—	—	age, gender, education, Townsend deprivation index, smoking status, alcohol consumption, body mass index, total physical activity, dietary pattern, vitamin D supplement, use of sun/UV protection, PM2.5, hypertension, cardiovascular disease, antihypertensive medications use, cholesterol-lowering medications use, and average outdoor light time	—
PPM020159	PGS004223 (PRS139_T2D)	PSS011299\| European Ancestry\| 395,809 individuals	PGP000523 \| Lin J et al. Sci Total Environ (2023)	Reported Trait: Incident type 2 diabetes with outdoor light time in summer	—	—	Hazard ratio (HR, outdoor light time in summer >3h/day and PRS in top tertile vs. outdoor light time in summer <2-3 h/day and PRS in bottom tertile): 2.53 [2.39, 2.69]	Hb1Ac concentrations at baseline	—
PPM020160	PGS004223 (PRS139_T2D)	PSS011299\| European Ancestry\| 395,809 individuals	PGP000523 \| Lin J et al. Sci Total Environ (2023)	Reported Trait: Incident type 2 diabetes with outdoor light time in winter	—	—	Hazard ratio (HR, outdoor light time in winter >2 h/day and PRS in top tertile vs. outdoor light time in winter <1-2 h/day and PRS in bottom tertile): 2.56 [2.42, 2.71]	Hb1Ac concentrations at baseline	—
PPM020161	PGS004223 (PRS139_T2D)	PSS011299\| European Ancestry\| 395,809 individuals	PGP000523 \| Lin J et al. Sci Total Environ (2023)	Reported Trait: Incident type 2 diabetes with outdoor light time on average	—	—	Hazard ratio (HR, outdoor light time on average >2.5 h/day and PRS in top tertile vs. outdoor light time on average 1.5-2.5 h/day and PRS in bottom tertile): 2.52 [2.37, 2.67]	Hb1Ac concentrations at baseline	—
PPM020163	PGS000832 (T2D-GRS)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.78 [1.49, 2.13]	—	—	age, sex and BMI	Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM020164	PGS000857 (T2D_Obesity)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 0.87 [0.77, 0.99]	—	—	sex	—
PPM020167	PGS000848 (T2D_Adiposity)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.14 [1.01, 1.28]	—	—	sex	—
PPM020168	PGS000854 (T2D_BetaCell)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 0.89 [0.79, 1.0]	—	—	sex	—
PPM020170	PGS000852 (T2D_Insulin_Secretion_1)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.33 [1.12, 1.58]	—	—	age, sex and BMI	—
PPM020171	PGS000853 (T2D_Insulin_Secretion_2)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.32 [1.11, 1.57]	—	—	age, sex and BMI	—
PPM020172	PGS000851 (T2D_Insulin_Action_Secretion)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.07 [0.9, 1.28]	—	—	age, sex and BMI	—
PPM020173	PGS000850 (T2D_Insulin_Action)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.16 [1.03, 1.3]	—	—	sex	—
PPM020174	PGS000858 (T2D_Proinsulin)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.22 [1.03, 1.44]	—	—	age, sex and BMI	—
PPM020175	PGS000855 (T2D_Lipodystrophy)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.17 [1.04, 1.31]	—	—	sex	—
PPM020176	PGS000849 (T2D_Impaired_Lipids)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.2 [1.0, 1.44]	—	—	age, sex and BMI	—
PPM020177	PGS000856 (T2D_LiverLipids)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Type 2 diabetes	OR: 1.29 [1.09, 1.54]	—	—	age, sex and BMI	—
PPM020183	PGS000848 (T2D_Adiposity)	PSS011301\| South Asian Ancestry\| 1,282 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: BMI	β: 0.06772 (0.027943)	—	—	—	—
PPM020187	PGS000848 (T2D_Adiposity)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.23 [1.07, 1.43]	—	—	sex	—
PPM020188	PGS000854 (T2D_BetaCell)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 0.87 [0.75, 1.0]	—	—	sex	—
PPM020190	PGS000852 (T2D_Insulin_Secretion_1)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.38 [1.19, 1.59]	—	—	sex	—
PPM020192	PGS000851 (T2D_Insulin_Action_Secretion)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.17 [1.01, 1.34]	—	—	sex	—
PPM020193	PGS000855 (T2D_Lipodystrophy)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.16 [1.0, 1.34]	—	—	sex	—
PPM020194	PGS000849 (T2D_Impaired_Lipids)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.2 [1.03, 1.4]	—	—	sex	—
PPM020195	PGS000856 (T2D_LiverLipids)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.24 [1.07, 1.43]	—	—	sex	—
PPM020196	PGS000832 (T2D-GRS)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.5 [1.27, 1.76]	—	—	sex	Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM020199	PGS000852 (T2D_Insulin_Secretion_1)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.25 [1.08, 1.46]	—	—	sex	—
PPM020200	PGS000853 (T2D_Insulin_Secretion_2)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.24 [1.07, 1.45]	—	—	sex	—
PPM020201	PGS000850 (T2D_Insulin_Action)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.17 [1.0, 1.36]	—	—	sex	—
PPM020202	PGS000858 (T2D_Proinsulin)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.2 [1.03, 1.4]	—	—	sex	—
PPM020203	PGS000855 (T2D_Lipodystrophy)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.18 [1.01, 1.37]	—	—	sex	—
PPM020204	PGS000849 (T2D_Impaired_Lipids)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.26 [1.07, 1.49]	—	—	sex	—
PPM020205	PGS000856 (T2D_LiverLipids)	PSS011303\| South Asian Ancestry\| 729 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild obesity-related diabetes	OR: 1.31 [1.12, 1.53]	—	—	sex	—
PPM020206	PGS000856 (T2D_LiverLipids)	PSS011304\| South Asian Ancestry\| 482 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin-resistant diabetes	OR: 2.04 [1.26, 3.3]	—	—	sex	—
PPM020207	PGS000832 (T2D-GRS)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 1.54 [1.27, 1.87]	—	—	sex	Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM020209	PGS000854 (T2D_BetaCell)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 0.81 [0.67, 0.97]	—	—	sex	—
PPM020210	PGS000852 (T2D_Insulin_Secretion_1)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 1.33 [1.1, 1.61]	—	—	sex	—
PPM020211	PGS000853 (T2D_Insulin_Secretion_2)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 1.32 [1.1, 1.59]	—	—	sex	—
PPM020212	PGS000851 (T2D_Insulin_Action_Secretion)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 1.45 [1.19, 1.78]	—	—	sex	—
PPM020213	PGS000850 (T2D_Insulin_Action)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 1.26 [1.04, 1.53]	—	—	sex	—
PPM020214	PGS000858 (T2D_Proinsulin)	PSS011305\| South Asian Ancestry\| 624 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Mild age-related diabetes	OR: 1.23 [1.01, 1.48]	—	—	sex	—
PPM020215	PGS004225 (PRS46_T2DEastAsia)	PSS011306\| East Asian Ancestry\| 5,024 individuals	PGP000526 \| Liu J et al. Nutrients (2023)	Reported Trait: Type 2 diabetes	—	—	Hazard ratio (HR, high vs low quintile): 2.06 [1.42, 2.97]	age, gender, SBP, DBP, FBG, TC, TG, HDLC, and diabetes family history	—
PPM020216	PGS004226 (PRS50_T2DEur)	PSS011306\| East Asian Ancestry\| 5,024 individuals	PGP000526 \| Liu J et al. Nutrients (2023)	Reported Trait: Type 2 diabetes	—	—	Hazard ratio (HR, high vs low quintile): 1.69 [1.17, 2.44]	age, gender, SBP, DBP, FBG, TC, TG, HDLC, and diabetes family history	—
PPM020114	PGS004181 (t2d_1)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Type 2 diabetes	—	AUROC: 0.69418	—	year of birth, sex	—
PPM020184	PGS000832 (T2D-GRS)	PSS011302\| South Asian Ancestry\| 830 individuals	PGP000525 \| Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) \|Ext.	Reported Trait: Severe insulin deficiency diabetes	OR: 1.66 [1.42, 1.93]	—	—	sex	Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM019311	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	β: 0.39562 [0.37726469, 0.41397779] OR: 1.48531 [1.45829025, 1.51282353]	AUROC: 0.61014 [0.60505035, 0.61523315]	R²: 0.03561 [0.03220308, 0.03891372]	0	beta = log(or)/sd_pgs
PPM019318	PGS004136 (sbayesr.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.50666 [1.49312749, 1.52030687] β: 0.40989 [0.4008729, 0.4189122]	AUROC: 0.61306 [0.61061616, 0.61550764]	R²: 0.03751 [0.03588493, 0.03912892]	0	beta = log(or)/sd_pgs
PPM019336	PGS004052 (megaprs.auto.GCST004773.T2D)	PSS011236\| European Ancestry\| 377,408 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.53613 [1.5222648, 1.55012285] β: 0.42927 [0.42019923, 0.43833419]	AUROC: 0.61808 [0.61563838, 0.62051629]	R²: 0.04083 [0.03909121, 0.04252571]	0	beta = log(or)/sd_pgs
PPM019363	PGS004014 (lassosum.CV.GCST004773.T2D)	PSS011291\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.34108 [1.27567078, 1.40985112] β: 0.29348 [0.24347214, 0.34348411]	AUROC: 0.58226 [0.56834813, 0.59616255]	R²: 0.02672 [0.01823875, 0.03700328]	0	beta = log(or)/sd_pgs
PPM020378	PGS004310 (GenoBoost_type_2_diabetes_0)	PSS011343\| European Ancestry\| 67,428 individuals	PGP000546 \| Ohta R et al. Nat Commun (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.70295	Covariate-adjusted pseudo-R2: 0.03816 AUPRC: 0.70295	age, sex, PC1-10	—
PPM020379	PGS004311 (GenoBoost_type_2_diabetes_1)	PSS011343\| European Ancestry\| 67,428 individuals	PGP000546 \| Ohta R et al. Nat Commun (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.70067	Covariate-adjusted pseudo-R2: 0.03626 AUPRC: 0.70067	age, sex, PC1-10	—
PPM020380	PGS004312 (GenoBoost_type_2_diabetes_2)	PSS011343\| European Ancestry\| 67,428 individuals	PGP000546 \| Ohta R et al. Nat Commun (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.7011	Covariate-adjusted pseudo-R2: 0.03779 AUPRC: 0.7011	age, sex, PC1-10	—
PPM020381	PGS004313 (GenoBoost_type_2_diabetes_3)	PSS011343\| European Ancestry\| 67,428 individuals	PGP000546 \| Ohta R et al. Nat Commun (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.70228	Covariate-adjusted pseudo-R2: 0.03838 AUPRC: 0.70228	age, sex, PC1-10	—
PPM020382	PGS004314 (GenoBoost_type_2_diabetes_4)	PSS011343\| European Ancestry\| 67,428 individuals	PGP000546 \| Ohta R et al. Nat Commun (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.70378	Covariate-adjusted pseudo-R2: 0.03925 AUPRC: 0.70378	age, sex, PC1-10	—
PPM020433	PGS004323 (PRS91_T2D)	PSS011360\| East Asian Ancestry\| 2,676 individuals	PGP000557 \| Tan Q et al. J Hazard Mater (2023)	Reported Trait: Fasting plasma glucose	β: 0.292 [0.181, 0.404]	—	—	Age, gender, BMI, community, and the first 10 principal components of ancestry	—
PPM020434	PGS004323 (PRS91_T2D)	PSS011360\| East Asian Ancestry\| 2,676 individuals	PGP000557 \| Tan Q et al. J Hazard Mater (2023)	Reported Trait: HOMA-beta	β: -0.143 [-0.212, -0.073]	—	—	Age, gender, BMI, community, and the first 10 principal components of ancestry	—
PPM020435	PGS004323 (PRS91_T2D)	PSS011360\| East Asian Ancestry\| 2,676 individuals	PGP000557 \| Tan Q et al. J Hazard Mater (2023)	Reported Trait: Impaired fasting glucose	β: 1.809 [1.362, 2.402]	—	—	Age, gender, BMI, community, and the first 10 principal components of ancestry	—
PPM020436	PGS004323 (PRS91_T2D)	PSS011360\| East Asian Ancestry\| 2,676 individuals	PGP000557 \| Tan Q et al. J Hazard Mater (2023)	Reported Trait: Type 2 diabetes	β: 2.263 [1.72, 2.977]	—	—	Age, gender, BMI, community, and the first 10 principal components of ancestry	—
PPM020614	PGS004499 (disease.T2D.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Type 2 diabetes (T2D)	OR: 1.51252	—	—	—	—
PPM020684	PGS004569 (meta.T2D.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Type 2 diabetes (T2D)	OR: 1.63182	—	—	—	—
PPM020759	PGS004602 (PRS424_T2D)	PSS011395\| European Ancestry\| 357,419 individuals	PGP000580 \| Zhuang P et al. Diabetes Care (2021)	Reported Trait: Type 2 diabetes	HR: 1.54 [1.5, 1.58] β: 0.431 (0.014)	—	—	Age, sex, center, BMI, education, Townsend deprivation index, household income, smoking, alcohol consumption, physical activity, history of hypertension, history of high cholesterol, vitamin supplement use, mineral supplement use, aspirin use, and lipid-lowering medication	—
PPM020760	PGS004602 (PRS424_T2D)	PSS011395\| European Ancestry\| 357,419 individuals	PGP000580 \| Zhuang P et al. Diabetes Care (2021)	Reported Trait: HbA1c	β: 0.544 (0.007)	—	—	Age, sex, center, BMI, education, Townsend deprivation index, household income, smoking, alcohol consumption, physical activity, history of hypertension, history of high cholesterol, vitamin supplement use, mineral supplement use, aspirin use, and lipid-lowering medication	—
PPM020793	PGS004615 (PGS_weights_TMM_All_of_1group)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.639	liability R2 (nested model): 0.081	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020794	PGS004615 (PGS_weights_TMM_All_of_1group)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.679	liability R2 (nested model): 0.114	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020795	PGS004616 (PGS_weights_TMM_HighBMI_of_2groups)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.617	liability R2 (nested model): 0.048	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020797	PGS004617 (PGS_weights_TMM_LowBMI_of_2groups)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.632	liability R2 (nested model): 0.06	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020798	PGS004617 (PGS_weights_TMM_LowBMI_of_2groups)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.67	liability R2 (nested model): 0.09	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020799	PGS004618 (PGS_weights_BBJ2nd_All_of_1group)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.661	liability R2 (nested model): 0.125	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020800	PGS004618 (PGS_weights_BBJ2nd_All_of_1group)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.649	liability R2 (nested model): 0.093	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020801	PGS004618 (PGS_weights_BBJ2nd_All_of_1group)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.693	liability R2 (nested model): 0.154	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020802	PGS004619 (PGS_weights_BBJ2nd_HighBMI_of_2groups)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.625	liability R2 (nested model): 0.057	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020803	PGS004619 (PGS_weights_BBJ2nd_HighBMI_of_2groups)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.659	liability R2 (nested model): 0.094	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020804	PGS004620 (PGS_weights_BBJ2nd_LowBMI_of_2groups)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.636	liability R2 (nested model): 0.081	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020779	PGS004602 (PRS424_T2D)	PSS011407\| Multi-ancestry (including European)\| 59,325 individuals	PGP000587 \| Luo M et al. Br J Sports Med (2023) \|Ext.	Reported Trait: Incident type 2 diabetes	—	—	Hazard ratio (HR, high vs low PRS tertile): 2.43 [2.04, 2.9]	Age as the underlying timescale, gender, genotyping array, the first 10 principal components of ancestry, ethnicity, educational attainment, household income, Townsend deprivation index, employment status, assessment center, moking status, alcohol consumption, healthy diet score, hypertension, dyslipidemia, depression, total wear time, seasonality, and total volume of physical activity	—
PPM020889	PGS002026 (portability-ldpred2_250.2)	PSS011442\| European Ancestry\| 564 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 0.96 [0.8, 1.16]	—	—	—	—
PPM020894	PGS002026 (portability-ldpred2_250.2)	PSS011441\| African Ancestry\| 504 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 1.1 [0.9, 1.35]	—	—	—	—
PPM021062	PGS004837 (t2d_PRSmix_eur)	PSS011507\| European Ancestry\| 7,879 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (Full model versus model with only covariates): 0.099 [0.087, 0.112]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021063	PGS004838 (t2d_PRSmix_sas)	PSS011474\| South Asian Ancestry\| 8,837 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (Full model versus model with only covariates): 0.061 [0.051, 0.07]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021064	PGS004839 (t2d_PRSmixPlus_eur)	PSS011507\| European Ancestry\| 7,879 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (Full model versus model with only covariates): 0.129 [0.115, 0.143]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021065	PGS004840 (t2d_PRSmixPlus_sas)	PSS011474\| South Asian Ancestry\| 8,837 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Type 2 diabetes	—	—	Incremental R2 (Full model versus model with only covariates): 0.065 [0.055, 0.075]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021085	PGS004859 (T2D_PRS_CS)	PSS011514\| African Ancestry\| 7,010 individuals	PGP000606 \| Szczerbinski L et al. medRxiv (2023) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.43 [1.35, 1.52]	AUROC: 0.76 [0.74, 0.77]	—	age, sex, 10 principal components	—
PPM021086	PGS004859 (T2D_PRS_CS)	PSS011516\| Hispanic or Latin American Ancestry\| 5,382 individuals	PGP000606 \| Szczerbinski L et al. medRxiv (2023) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 2.09 [1.92, 2.27]	AUROC: 0.84 [0.82, 0.86]	—	age, sex, 10 principal components	—
PPM021087	PGS004859 (T2D_PRS_CS)	PSS011517\| East Asian Ancestry\| 663 individuals	PGP000606 \| Szczerbinski L et al. medRxiv (2023) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.8 [1.4, 2.32]	AUROC: 0.84 [0.79, 0.9]	—	age, sex, 10 principal components	—
PPM021088	PGS004859 (T2D_PRS_CS)	PSS011518\| European Ancestry\| 22,306 individuals	PGP000606 \| Szczerbinski L et al. medRxiv (2023) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 2.33 [2.23, 2.43]	AUROC: 0.77 [0.76, 0.78]	—	age, sex, 10 principal components	—
PPM021089	PGS004859 (T2D_PRS_CS)	PSS011519\| South Asian Ancestry\| 323 individuals	PGP000606 \| Szczerbinski L et al. medRxiv (2023) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 2.28 [1.64, 3.16]	AUROC: 0.88 [0.81, 0.95]	—	age, sex, 10 principal components	—
PPM021090	PGS004859 (T2D_PRS_CS)	PSS011515\| Multi-ancestry (including European)\| 35,684 individuals	PGP000606 \| Szczerbinski L et al. medRxiv (2023) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.93 [1.87, 1.99]	AUROC: 0.75 [0.74, 0.75]	—	age, sex, 10 principal components	—
PPM021084	PGS004859 (T2D_PRS_CS)	PSS011513\| Multi-ancestry (including European)\| 546 individuals	PGP000605 \| Deutsch AJ et al. Diabetes Care (2023)	Reported Trait: Glucocorticoid-induced hyperglycemia	OR: 1.44 [1.02, 2.04]	AUROC: 0.68	—	eGFR, glucocorticoid dose	—
PPM021133	PGS004868 (T2DPGS)	PSS011537\| European Ancestry\| 345,217 individuals	PGP000617 \| Yun JS et al. Cardiovasc Diabetol (2022)	Reported Trait: Incident cardiovascular disease	HR: 1.06 [1.04, 1.07]	—	Hazard ratio (HR, top PRS percentile vs bottom quintile): 1.35 [1.19, 1.53]	Age, sex, genotyping array, 10 PCs	—
PPM021142	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011650\| European Ancestry\| 38,343 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.42 [1.38, 1.45]	C-index: 0.61 [0.6, 0.62]	—	PCs 1-10	—
PPM021143	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011649\| European Ancestry\| 69,715 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.86 [1.79, 1.93]	C-index: 0.69 [0.68, 0.7]	—	PCs 1-10	—
PPM021144	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011648\| European Ancestry\| 29,427 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.87 [1.79, 1.95]	C-index: 0.68 [0.67, 0.69]	—	PCs 1-10	—
PPM021145	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011646\| European Ancestry\| 44,183 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.56 [1.51, 1.6]	—	—	PCs 1-10	—
PPM021146	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011647\| European Ancestry\| 7,018 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.68 [1.55, 1.83]	C-index: 0.64 [0.62, 0.67]	—	PCs 1-10	—
PPM021147	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011645\| European Ancestry\| 412,090 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.7 [1.69, 1.71]	C-index: 0.66 [0.66, 0.66]	—	PCs 1-10	—
PPM021148	PGS004870 (INTERVENE_MegaPRS_T2D)	PSS011644\| European Ancestry\| 148,312 individuals	PGP000618 \| Jermy B et al. Nat Commun (2024)	Reported Trait: Incident T2D	HR: 1.78 [1.74, 1.82]	C-index: 0.67 [0.66, 0.67]	—	PCs 1-10	—
PPM021265	PGS004887 (T2D_gePGS)	PSS011671\| Multi-ancestry (including European)\| 14,712 individuals	PGP000619 \| Mandla R et al. Genome Med (2024)	Reported Trait: Incident type 2 diabetes cases	HR: 1.48 [1.4, 1.57]	C-index: 0.816	—	first 10 ancestry PCs, age, sex, BMI, family history of T2D, systolic blood pressure, triglycerides, total cholesterol, and HDL combined into a clinical risk score and random glucose	—
PPM021336	PGS004602 (PRS424_T2D)	PSS011692\| European Ancestry\| 433,150 individuals	PGP000634 \| Chen JX et al. J Clin Endocrinol Metab (2023) \|Ext.	Reported Trait: Age at onset of type 2 diabetes ≤ 50 years	HR: 1.26 [1.13, 1.41]	—	—	Sex, ethnicity, education, Townsend deprivation index, 4 age groups, follow-up time category, HbA1c, BMI, systolic blood pressure, smoking status, physical activity, diet, use of antihypertensive drugs, use of lipid-lowering drugs, cardiovascular disease, parental history of diabetes	—
PPM021411	PGS002771 (Type_2_diabetes_prscs)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.89 [1.85, 1.94]	AUROC: 0.735 [0.73, 0.74]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021413	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.86 [1.82, 1.9]	AUROC: 0.731 [0.726, 0.736]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021414	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.86 [1.82, 1.9]	AUROC: 0.731 [0.726, 0.736]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021415	PGS003867 (T2D_PRScs_ARB)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.84 [1.8, 1.88]	AUROC: 0.73 [0.725, 0.735]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021416	PGS000330 (PRS_T2D)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.79 [1.75, 1.83]	AUROC: 0.726 [0.721, 0.73]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021417	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.77 [1.74, 1.81]	AUROC: 0.725 [0.72, 0.729]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021418	PGS002026 (portability-ldpred2_250.2)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.67 [1.63, 1.71]	AUROC: 0.714 [0.709, 0.719]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021419	PGS000729 (T2D_PGS)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.65 [1.61, 1.68]	AUROC: 0.712 [0.707, 0.717]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021420	PGS000713 (T2D)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.63 [1.6, 1.67]	AUROC: 0.712 [0.707, 0.717]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021421	PGS001818 (portability-PLR_250.2)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.62 [1.58, 1.65]	AUROC: 0.709 [0.704, 0.714]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021422	PGS000805 (GRS582_T2Deur)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.59 [1.56, 1.63]	AUROC: 0.707 [0.702, 0.712]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021423	PGS001357 (T2D_AnnoPred_PRS)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.56 [1.53, 1.59]	AUROC: 0.704 [0.699, 0.709]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021424	PGS002671 (disease_T2D.PolyFun-pred)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.55 [1.52, 1.59]	AUROC: 0.704 [0.699, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021425	PGS002243 (ldpred_t2d)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.55 [1.52, 1.59]	AUROC: 0.703 [0.698, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021426	PGS001781 (T2D_PRSCS)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.54 [1.51, 1.58]	AUROC: 0.702 [0.698, 0.707]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021427	PGS000036 (gePS_T2D)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.53 [1.5, 1.56]	AUROC: 0.701 [0.696, 0.706]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021428	PGS000014 (GPS_T2D)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.51 [1.48, 1.55]	AUROC: 0.7 [0.695, 0.705]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021429	PGS000868 (T2D_221)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.48 [1.45, 1.51]	AUROC: 0.696 [0.691, 0.701]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021432	PGS004923 (T2D_metaGRS)	PSS011747\| European Ancestry\| 245,177 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 2.3 [2.26, 2.35]	AUROC: 0.777 [0.772, 0.781]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021433	PGS001357 (T2D_AnnoPred_PRS)	PSS011747\| European Ancestry\| 245,177 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.8 [1.77, 1.84]	AUROC: 0.739 [0.734, 0.743]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021434	PGS002243 (ldpred_t2d)	PSS011747\| European Ancestry\| 245,177 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.78 [1.75, 1.82]	AUROC: 0.737 [0.733, 0.742]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021435	PGS001781 (T2D_PRSCS)	PSS011747\| European Ancestry\| 245,177 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.77 [1.74, 1.81]	AUROC: 0.736 [0.732, 0.741]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021436	PGS000036 (gePS_T2D)	PSS011747\| European Ancestry\| 245,177 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.73 [1.69, 1.76]	AUROC: 0.733 [0.728, 0.737]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021437	PGS000014 (GPS_T2D)	PSS011747\| European Ancestry\| 245,177 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.71 [1.67, 1.74]	AUROC: 0.731 [0.726, 0.736]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021438	PGS004923 (T2D_metaGRS)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	HR: 2.07 [1.92, 2.23]	C-index: 0.774 [0.758, 0.79]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021439	PGS002771 (Type_2_diabetes_prscs)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 2.03 [1.88, 2.18]	C-index: 0.772 [0.756, 0.788]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021441	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.98 [1.84, 2.13]	C-index: 0.77 [0.754, 0.786]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021442	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.98 [1.84, 2.13]	C-index: 0.77 [0.754, 0.786]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021443	PGS003867 (T2D_PRScs_ARB)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.95 [1.81, 2.1]	C-index: 0.766 [0.75, 0.782]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021444	PGS000330 (PRS_T2D)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.94 [1.8, 2.09]	C-index: 0.767 [0.75, 0.783]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021445	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.89 [1.76, 2.04]	C-index: 0.759 [0.743, 0.775]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021446	PGS002026 (portability-ldpred2_250.2)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.81 [1.68, 1.95]	C-index: 0.752 [0.735, 0.769]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021447	PGS001818 (portability-PLR_250.2)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.75 [1.63, 1.89]	C-index: 0.75 [0.734, 0.767]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021448	PGS000729 (T2D_PGS)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.75 [1.62, 1.88]	C-index: 0.753 [0.737, 0.77]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021449	PGS000713 (T2D)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.74 [1.62, 1.88]	C-index: 0.748 [0.732, 0.765]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021450	PGS002671 (disease_T2D.PolyFun-pred)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.67 [1.56, 1.8]	C-index: 0.742 [0.724, 0.759]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021451	PGS001357 (T2D_AnnoPred_PRS)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.65 [1.53, 1.77]	C-index: 0.742 [0.725, 0.76]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021452	PGS002780 (GTG_T2D_SCT)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.65 [1.53, 1.77]	C-index: 0.742 [0.725, 0.759]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021453	PGS002243 (ldpred_t2d)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.64 [1.53, 1.77]	C-index: 0.741 [0.723, 0.758]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021454	PGS000036 (gePS_T2D)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.63 [1.52, 1.75]	C-index: 0.742 [0.725, 0.759]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021455	PGS001781 (T2D_PRSCS)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.61 [1.5, 1.73]	C-index: 0.741 [0.723, 0.758]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021456	PGS000868 (T2D_221)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.6 [1.48, 1.72]	C-index: 0.736 [0.719, 0.753]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021457	PGS000805 (GRS582_T2Deur)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.59 [1.48, 1.71]	C-index: 0.736 [0.718, 0.753]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021458	PGS000014 (GPS_T2D)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.58 [1.47, 1.7]	C-index: 0.737 [0.719, 0.754]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021459	PGS000864 (T2D-gPRS)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.32 [1.27, 1.38]	C-index: 0.731 [0.714, 0.749]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021460	PGS004923 (T2D_metaGRS)	PSS011746\| European Ancestry\| 232,808 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.8 [1.75, 1.85]	C-index: 0.719 [0.713, 0.725]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021461	PGS001357 (T2D_AnnoPred_PRS)	PSS011746\| European Ancestry\| 232,808 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.51 [1.47, 1.55]	C-index: 0.69 [0.684, 0.696]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021462	PGS002243 (ldpred_t2d)	PSS011746\| European Ancestry\| 232,808 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.49 [1.45, 1.52]	C-index: 0.689 [0.683, 0.695]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021463	PGS001781 (T2D_PRSCS)	PSS011746\| European Ancestry\| 232,808 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.48 [1.45, 1.52]	C-index: 0.688 [0.682, 0.695]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021464	PGS000036 (gePS_T2D)	PSS011746\| European Ancestry\| 232,808 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.46 [1.42, 1.5]	C-index: 0.687 [0.68, 0.693]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021465	PGS000014 (GPS_T2D)	PSS011746\| European Ancestry\| 232,808 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.45 [1.42, 1.49]	C-index: 0.686 [0.679, 0.692]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021466	PGS003867 (T2D_PRScs_ARB)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.37 [1.33, 1.41]	AUROC: 0.727 [0.72, 0.733]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021467	PGS004923 (T2D_metaGRS)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 1.35 [1.31, 1.39]	AUROC: 0.725 [0.718, 0.731]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021468	PGS002771 (Type_2_diabetes_prscs)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.33 [1.3, 1.37]	AUROC: 0.724 [0.717, 0.73]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021469	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.32 [1.28, 1.36]	AUROC: 0.723 [0.717, 0.729]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021470	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.32 [1.28, 1.36]	AUROC: 0.723 [0.717, 0.729]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021471	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.32 [1.28, 1.36]	AUROC: 0.723 [0.717, 0.729]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021473	PGS002026 (portability-ldpred2_250.2)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.28 [1.24, 1.32]	AUROC: 0.721 [0.714, 0.727]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021474	PGS000330 (PRS_T2D)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.27 [1.23, 1.31]	AUROC: 0.72 [0.714, 0.727]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021475	PGS001818 (portability-PLR_250.2)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.27 [1.23, 1.3]	AUROC: 0.72 [0.714, 0.727]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021476	PGS002243 (ldpred_t2d)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.2, 1.27]	AUROC: 0.718 [0.712, 0.725]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021477	PGS000805 (GRS582_T2Deur)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.2, 1.27]	AUROC: 0.718 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021478	PGS001357 (T2D_AnnoPred_PRS)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.2, 1.27]	AUROC: 0.718 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021479	PGS000713 (T2D)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.2, 1.27]	AUROC: 0.718 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021480	PGS002671 (disease_T2D.PolyFun-pred)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.22 [1.19, 1.26]	AUROC: 0.718 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021481	PGS000729 (T2D_PGS)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.19, 1.26]	AUROC: 0.718 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021482	PGS000036 (gePS_T2D)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.21 [1.18, 1.25]	AUROC: 0.717 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021483	PGS000868 (T2D_221)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.21 [1.17, 1.24]	AUROC: 0.717 [0.711, 0.724]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021484	PGS000014 (GPS_T2D)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.21 [1.17, 1.24]	AUROC: 0.717 [0.71, 0.723]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021485	PGS001781 (T2D_PRSCS)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.2 [1.16, 1.23]	AUROC: 0.716 [0.71, 0.723]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021486	PGS002780 (GTG_T2D_SCT)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.18 [1.14, 1.21]	AUROC: 0.715 [0.709, 0.722]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021489	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.77 [1.71, 1.84]	AUROC: 0.78 [0.773, 0.786]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021490	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.77 [1.71, 1.84]	AUROC: 0.78 [0.773, 0.786]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021491	PGS004923 (T2D_metaGRS)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 1.73 [1.67, 1.79]	AUROC: 0.777 [0.77, 0.783]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021492	PGS003867 (T2D_PRScs_ARB)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.72 [1.65, 1.78]	AUROC: 0.776 [0.769, 0.783]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021493	PGS002771 (Type_2_diabetes_prscs)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.7 [1.64, 1.76]	AUROC: 0.775 [0.769, 0.782]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021494	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.61 [1.55, 1.67]	AUROC: 0.77 [0.764, 0.777]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021495	PGS000330 (PRS_T2D)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.58 [1.53, 1.64]	AUROC: 0.768 [0.761, 0.775]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021496	PGS002026 (portability-ldpred2_250.2)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.49 [1.44, 1.55]	AUROC: 0.764 [0.757, 0.771]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021497	PGS000805 (GRS582_T2Deur)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.49 [1.44, 1.55]	AUROC: 0.764 [0.758, 0.771]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021498	PGS001818 (portability-PLR_250.2)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.46 [1.41, 1.51]	AUROC: 0.762 [0.755, 0.769]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021499	PGS000713 (T2D)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.46 [1.41, 1.51]	AUROC: 0.762 [0.755, 0.769]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021500	PGS001357 (T2D_AnnoPred_PRS)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.45 [1.4, 1.51]	AUROC: 0.761 [0.754, 0.768]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021501	PGS000729 (T2D_PGS)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.45 [1.4, 1.51]	AUROC: 0.761 [0.754, 0.768]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021502	PGS002671 (disease_T2D.PolyFun-pred)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.44 [1.39, 1.49]	AUROC: 0.761 [0.754, 0.768]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021503	PGS002243 (ldpred_t2d)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.43 [1.38, 1.48]	AUROC: 0.76 [0.753, 0.767]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021504	PGS001781 (T2D_PRSCS)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.43 [1.38, 1.48]	AUROC: 0.76 [0.753, 0.767]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021505	PGS000036 (gePS_T2D)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.41 [1.36, 1.46]	AUROC: 0.759 [0.752, 0.766]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021506	PGS000014 (GPS_T2D)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.39 [1.34, 1.44]	AUROC: 0.757 [0.75, 0.764]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021507	PGS000868 (T2D_221)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.38 [1.33, 1.43]	AUROC: 0.758 [0.751, 0.765]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021508	PGS002780 (GTG_T2D_SCT)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.35 [1.31, 1.4]	AUROC: 0.756 [0.749, 0.763]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021509	PGS000864 (T2D-gPRS)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.02 [0.99, 1.06]	AUROC: 0.745 [0.738, 0.752]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021510	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.51 [1.29, 1.77]	AUROC: 0.648 [0.607, 0.688]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021511	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.51 [1.29, 1.77]	AUROC: 0.648 [0.607, 0.688]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021512	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.51 [1.29, 1.77]	AUROC: 0.648 [0.607, 0.688]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021513	PGS003867 (T2D_PRScs_ARB)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.42 [1.22, 1.66]	AUROC: 0.635 [0.594, 0.676]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021514	PGS002771 (Type_2_diabetes_prscs)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.4 [1.2, 1.64]	AUROC: 0.634 [0.592, 0.676]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021515	PGS004923 (T2D_metaGRS)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.37 [1.17, 1.6]	AUROC: 0.627 [0.585, 0.669]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021517	PGS001818 (portability-PLR_250.2)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.3 [1.11, 1.51]	AUROC: 0.622 [0.581, 0.664]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021518	PGS000805 (GRS582_T2Deur)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.3 [1.11, 1.52]	AUROC: 0.613 [0.572, 0.654]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021519	PGS000330 (PRS_T2D)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.29 [1.11, 1.51]	AUROC: 0.619 [0.577, 0.661]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021520	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.28 [1.1, 1.5]	AUROC: 0.619 [0.578, 0.661]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021521	PGS000036 (gePS_T2D)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.25 [1.07, 1.46]	AUROC: 0.608 [0.566, 0.651]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021522	PGS000729 (T2D_PGS)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.25 [1.07, 1.46]	AUROC: 0.615 [0.572, 0.657]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021523	PGS000868 (T2D_221)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.24 [1.06, 1.44]	AUROC: 0.604 [0.564, 0.645]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021524	PGS000713 (T2D)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.19 [1.02, 1.39]	AUROC: 0.598 [0.554, 0.641]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021525	PGS001357 (T2D_AnnoPred_PRS)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.15 [0.98, 1.34]	AUROC: 0.593 [0.55, 0.636]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021526	PGS002780 (GTG_T2D_SCT)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.14 [0.98, 1.33]	AUROC: 0.598 [0.556, 0.641]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021527	PGS001781 (T2D_PRSCS)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.12 [0.96, 1.3]	AUROC: 0.593 [0.551, 0.636]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021528	PGS002243 (ldpred_t2d)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.08 [0.93, 1.26]	AUROC: 0.592 [0.548, 0.635]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021529	PGS000864 (T2D-gPRS)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.04 [0.9, 1.21]	AUROC: 0.584 [0.54, 0.628]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021530	PGS002671 (disease_T2D.PolyFun-pred)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.98 [0.84, 1.14]	AUROC: 0.585 [0.541, 0.629]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021531	PGS000014 (GPS_T2D)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.99 [0.85, 1.16]	AUROC: 0.585 [0.541, 0.629]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021532	PGS004923 (T2D_metaGRS)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.69 [1.42, 2.02]	AUROC: 0.698 [0.658, 0.737]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021533	PGS002771 (Type_2_diabetes_prscs)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.57 [1.32, 1.87]	AUROC: 0.682 [0.642, 0.723]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021534	PGS001818 (portability-PLR_250.2)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.54 [1.3, 1.83]	AUROC: 0.677 [0.634, 0.72]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021535	PGS003867 (T2D_PRScs_ARB)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.52 [1.29, 1.81]	AUROC: 0.681 [0.641, 0.722]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021536	PGS000868 (T2D_221)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.52 [1.28, 1.8]	AUROC: 0.677 [0.635, 0.72]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021538	PGS002026 (portability-ldpred2_250.2)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.43 [1.21, 1.7]	AUROC: 0.666 [0.623, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021539	PGS002780 (GTG_T2D_SCT)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.43 [1.21, 1.69]	AUROC: 0.666 [0.624, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021541	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.43 [1.21, 1.7]	AUROC: 0.667 [0.626, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021542	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.43 [1.21, 1.7]	AUROC: 0.667 [0.626, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021543	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.38 [1.17, 1.64]	AUROC: 0.667 [0.626, 0.709]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021544	PGS000330 (PRS_T2D)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.32 [1.12, 1.57]	AUROC: 0.66 [0.619, 0.701]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021545	PGS001357 (T2D_AnnoPred_PRS)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.27 [1.08, 1.5]	AUROC: 0.655 [0.613, 0.696]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021546	PGS000729 (T2D_PGS)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.25 [1.06, 1.48]	AUROC: 0.653 [0.612, 0.694]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021547	PGS000036 (gePS_T2D)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.23 [1.04, 1.45]	AUROC: 0.651 [0.609, 0.693]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021548	PGS002243 (ldpred_t2d)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.12 [0.95, 1.32]	AUROC: 0.643 [0.6, 0.685]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021549	PGS001781 (T2D_PRSCS)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.12 [0.95, 1.32]	AUROC: 0.645 [0.602, 0.687]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021550	PGS000713 (T2D)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.91 [0.77, 1.08]	AUROC: 0.643 [0.6, 0.686]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021551	PGS000864 (T2D-gPRS)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.09 [0.93, 1.28]	AUROC: 0.643 [0.6, 0.686]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021552	PGS002671 (disease_T2D.PolyFun-pred)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.96 [0.81, 1.13]	AUROC: 0.641 [0.598, 0.684]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021553	PGS000014 (GPS_T2D)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.03 [0.87, 1.21]	AUROC: 0.639 [0.596, 0.683]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021554	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.71 [1.43, 2.06]	AUROC: 0.706 [0.665, 0.746]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021555	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.71 [1.43, 2.06]	AUROC: 0.706 [0.665, 0.746]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021556	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.71 [1.43, 2.06]	AUROC: 0.706 [0.665, 0.746]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021557	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.68 [1.4, 2.01]	AUROC: 0.705 [0.664, 0.745]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021559	PGS003867 (T2D_PRScs_ARB)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.64 [1.37, 1.98]	AUROC: 0.701 [0.659, 0.742]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021560	PGS002771 (Type_2_diabetes_prscs)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.62 [1.36, 1.95]	AUROC: 0.696 [0.654, 0.738]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021561	PGS000805 (GRS582_T2Deur)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.58 [1.33, 1.88]	AUROC: 0.701 [0.659, 0.743]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021562	PGS001357 (T2D_AnnoPred_PRS)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.5 [1.26, 1.79]	AUROC: 0.682 [0.64, 0.725]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021564	PGS002026 (portability-ldpred2_250.2)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.44 [1.22, 1.72]	AUROC: 0.685 [0.643, 0.727]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021565	PGS000729 (T2D_PGS)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.37 [1.16, 1.63]	AUROC: 0.668 [0.625, 0.712]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021566	PGS001781 (T2D_PRSCS)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.37 [1.16, 1.63]	AUROC: 0.672 [0.629, 0.715]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021567	PGS001818 (portability-PLR_250.2)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.36 [1.15, 1.62]	AUROC: 0.675 [0.632, 0.718]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021568	PGS000868 (T2D_221)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.34 [1.14, 1.6]	AUROC: 0.674 [0.631, 0.717]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021569	PGS002243 (ldpred_t2d)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.32 [1.11, 1.57]	AUROC: 0.669 [0.625, 0.712]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021570	PGS002780 (GTG_T2D_SCT)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.27 [1.07, 1.5]	AUROC: 0.668 [0.625, 0.711]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021571	PGS000014 (GPS_T2D)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.82 [0.69, 0.97]	AUROC: 0.662 [0.618, 0.706]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021572	PGS000036 (gePS_T2D)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.2 [1.01, 1.42]	AUROC: 0.657 [0.612, 0.701]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021573	PGS002671 (disease_T2D.PolyFun-pred)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.05 [0.89, 1.24]	AUROC: 0.655 [0.611, 0.698]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021574	PGS000713 (T2D)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.95 [0.8, 1.12]	AUROC: 0.652 [0.608, 0.696]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021575	PGS000864 (T2D-gPRS)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 0.98 [0.83, 1.16]	AUROC: 0.653 [0.609, 0.697]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021576	PGS004923 (T2D_metaGRS)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 1.41 [1.31, 1.53]	AUROC: 0.723 [0.704, 0.742]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021577	PGS002771 (Type_2_diabetes_prscs)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.41 [1.3, 1.53]	AUROC: 0.724 [0.705, 0.743]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021579	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.4 [1.3, 1.52]	AUROC: 0.723 [0.705, 0.742]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021580	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.4 [1.3, 1.52]	AUROC: 0.723 [0.705, 0.742]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021581	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.4 [1.29, 1.51]	AUROC: 0.721 [0.702, 0.74]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021582	PGS002026 (portability-ldpred2_250.2)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.35 [1.24, 1.46]	AUROC: 0.719 [0.7, 0.737]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021583	PGS001357 (T2D_AnnoPred_PRS)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.32 [1.22, 1.43]	AUROC: 0.717 [0.698, 0.736]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021584	PGS001818 (portability-PLR_250.2)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.32 [1.22, 1.43]	AUROC: 0.716 [0.697, 0.735]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021585	PGS002243 (ldpred_t2d)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.31 [1.21, 1.42]	AUROC: 0.716 [0.696, 0.735]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021586	PGS000330 (PRS_T2D)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.31 [1.21, 1.42]	AUROC: 0.716 [0.696, 0.735]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021587	PGS000713 (T2D)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.31 [1.21, 1.42]	AUROC: 0.714 [0.695, 0.734]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021588	PGS001781 (T2D_PRSCS)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.29 [1.2, 1.4]	AUROC: 0.714 [0.695, 0.733]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021589	PGS000014 (GPS_T2D)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.27 [1.18, 1.38]	AUROC: 0.714 [0.695, 0.733]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021590	PGS000805 (GRS582_T2Deur)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.27 [1.18, 1.38]	AUROC: 0.714 [0.694, 0.733]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021591	PGS000036 (gePS_T2D)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.25 [1.16, 1.35]	AUROC: 0.71 [0.691, 0.729]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021592	PGS000729 (T2D_PGS)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.25 [1.15, 1.35]	AUROC: 0.711 [0.692, 0.73]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021593	PGS002671 (disease_T2D.PolyFun-pred)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.14, 1.33]	AUROC: 0.711 [0.692, 0.73]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021594	PGS000868 (T2D_221)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.19 [1.1, 1.29]	AUROC: 0.708 [0.689, 0.728]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021595	PGS002780 (GTG_T2D_SCT)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.17 [1.09, 1.27]	AUROC: 0.708 [0.689, 0.727]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021596	PGS000864 (T2D-gPRS)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.08 [1.0, 1.17]	AUROC: 0.705 [0.686, 0.724]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021597	PGS000713 (T2D)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.9 [1.48, 2.45]	AUROC: 0.754 [0.7, 0.808]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021598	PGS004923 (T2D_metaGRS)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 1.82 [1.42, 2.37]	AUROC: 0.734 [0.678, 0.79]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021599	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.8 [1.4, 2.32]	AUROC: 0.738 [0.684, 0.791]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021641	PGS002771 (Type_2_diabetes_prscs)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.18 [1.07, 1.31]	C-index: 0.645 [0.618, 0.672]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021601	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.8 [1.4, 2.32]	AUROC: 0.738 [0.684, 0.791]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021602	PGS001818 (portability-PLR_250.2)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.74 [1.36, 2.22]	AUROC: 0.734 [0.679, 0.788]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021603	PGS000805 (GRS582_T2Deur)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.7 [1.35, 2.16]	AUROC: 0.734 [0.679, 0.788]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021604	PGS002671 (disease_T2D.PolyFun-pred)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.73 [1.35, 2.21]	AUROC: 0.737 [0.68, 0.793]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021605	PGS002026 (portability-ldpred2_250.2)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.6 [1.26, 2.03]	AUROC: 0.722 [0.664, 0.78]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021606	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.61 [1.26, 2.07]	AUROC: 0.726 [0.67, 0.781]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021607	PGS002771 (Type_2_diabetes_prscs)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.64 [1.27, 2.12]	AUROC: 0.728 [0.673, 0.783]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021608	PGS000868 (T2D_221)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.57 [1.24, 2.0]	AUROC: 0.727 [0.672, 0.782]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021609	PGS001357 (T2D_AnnoPred_PRS)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.45 [1.14, 1.84]	AUROC: 0.712 [0.655, 0.769]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021610	PGS002780 (GTG_T2D_SCT)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.44 [1.13, 1.83]	AUROC: 0.712 [0.655, 0.769]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021611	PGS000330 (PRS_T2D)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.43 [1.12, 1.83]	AUROC: 0.714 [0.658, 0.77]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021612	PGS000036 (gePS_T2D)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.39 [1.1, 1.77]	AUROC: 0.722 [0.668, 0.776]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021613	PGS000729 (T2D_PGS)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.4 [1.1, 1.8]	AUROC: 0.718 [0.666, 0.771]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021614	PGS002243 (ldpred_t2d)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.36 [1.08, 1.73]	AUROC: 0.708 [0.65, 0.766]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021615	PGS000014 (GPS_T2D)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.28 [1.01, 1.61]	AUROC: 0.705 [0.648, 0.763]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021616	PGS001781 (T2D_PRSCS)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.22 [0.96, 1.55]	AUROC: 0.704 [0.647, 0.761]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021617	PGS000864 (T2D-gPRS)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.05 [0.83, 1.32]	AUROC: 0.7 [0.643, 0.757]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021619	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.91 [1.78, 2.05]	AUROC: 0.746 [0.732, 0.761]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021620	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.91 [1.78, 2.05]	AUROC: 0.746 [0.732, 0.761]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021621	PGS004923 (T2D_metaGRS)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 1.88 [1.75, 2.01]	AUROC: 0.742 [0.727, 0.756]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021622	PGS002771 (Type_2_diabetes_prscs)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.85 [1.73, 1.99]	AUROC: 0.742 [0.728, 0.757]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021623	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.72 [1.6, 1.84]	AUROC: 0.73 [0.715, 0.745]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021624	PGS002026 (portability-ldpred2_250.2)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.64 [1.53, 1.75]	AUROC: 0.724 [0.709, 0.739]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021625	PGS001357 (T2D_AnnoPred_PRS)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.62 [1.52, 1.73]	AUROC: 0.723 [0.708, 0.738]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021626	PGS000330 (PRS_T2D)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.62 [1.51, 1.73]	AUROC: 0.724 [0.709, 0.738]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021627	PGS002671 (disease_T2D.PolyFun-pred)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.61 [1.51, 1.72]	AUROC: 0.721 [0.706, 0.736]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021628	PGS001818 (portability-PLR_250.2)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.61 [1.51, 1.72]	AUROC: 0.723 [0.708, 0.738]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021629	PGS000805 (GRS582_T2Deur)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.61 [1.51, 1.73]	AUROC: 0.721 [0.706, 0.736]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021630	PGS000713 (T2D)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.59 [1.49, 1.7]	AUROC: 0.721 [0.705, 0.736]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021631	PGS002243 (ldpred_t2d)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.57 [1.47, 1.67]	AUROC: 0.718 [0.703, 0.733]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021632	PGS000729 (T2D_PGS)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.55 [1.45, 1.66]	AUROC: 0.717 [0.703, 0.732]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021633	PGS001781 (T2D_PRSCS)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.53 [1.43, 1.64]	AUROC: 0.716 [0.701, 0.731]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021634	PGS002780 (GTG_T2D_SCT)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.53 [1.43, 1.63]	AUROC: 0.713 [0.698, 0.729]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021635	PGS000014 (GPS_T2D)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.48 [1.39, 1.58]	AUROC: 0.711 [0.696, 0.726]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021636	PGS000868 (T2D_221)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.49 [1.39, 1.59]	AUROC: 0.711 [0.696, 0.726]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021637	PGS000036 (gePS_T2D)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.44 [1.35, 1.54]	AUROC: 0.707 [0.692, 0.722]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021638	PGS000864 (T2D-gPRS)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.23 [1.16, 1.31]	AUROC: 0.693 [0.678, 0.709]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021639	PGS004923 (T2D_metaGRS)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.22 [1.1, 1.34]	C-index: 0.649 [0.623, 0.676]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021640	PGS000805 (GRS582_T2Deur)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.19 [1.08, 1.31]	C-index: 0.646 [0.619, 0.673]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021643	PGS000729 (T2D_PGS)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.16 [1.05, 1.28]	C-index: 0.642 [0.615, 0.669]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021644	PGS001357 (T2D_AnnoPred_PRS)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.15 [1.04, 1.27]	C-index: 0.645 [0.618, 0.672]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021645	PGS001781 (T2D_PRSCS)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.13 [1.03, 1.25]	C-index: 0.641 [0.613, 0.668]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021647	PGS000868 (T2D_221)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.13 [1.02, 1.24]	C-index: 0.644 [0.616, 0.671]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021649	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.13 [1.02, 1.24]	C-index: 0.642 [0.616, 0.669]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021650	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.13 [1.02, 1.24]	C-index: 0.642 [0.616, 0.669]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021651	PGS002026 (portability-ldpred2_250.2)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.12 [1.02, 1.24]	C-index: 0.643 [0.616, 0.67]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021652	PGS002780 (GTG_T2D_SCT)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.12 [1.01, 1.23]	C-index: 0.644 [0.617, 0.671]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021653	PGS000014 (GPS_T2D)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.12 [1.01, 1.23]	C-index: 0.641 [0.614, 0.669]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021654	PGS000713 (T2D)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.12 [1.01, 1.23]	C-index: 0.644 [0.617, 0.671]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021655	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.11 [1.01, 1.23]	C-index: 0.643 [0.615, 0.67]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021656	PGS000036 (gePS_T2D)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.11 [1.0, 1.22]	C-index: 0.641 [0.614, 0.668]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021657	PGS002243 (ldpred_t2d)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.1 [1.0, 1.22]	C-index: 0.641 [0.614, 0.668]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021658	PGS001818 (portability-PLR_250.2)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.09 [0.98, 1.2]	C-index: 0.642 [0.615, 0.669]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021659	PGS000864 (T2D-gPRS)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 0.94 [0.85, 1.03]	C-index: 0.639 [0.612, 0.667]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021660	PGS000713 (T2D)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.74 [1.25, 2.41]	C-index: 0.722 [0.646, 0.798]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021661	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.66 [1.19, 2.31]	C-index: 0.713 [0.638, 0.787]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021662	PGS002771 (Type_2_diabetes_prscs)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.61 [1.14, 2.27]	C-index: 0.697 [0.619, 0.775]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021663	PGS000330 (PRS_T2D)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.58 [1.13, 2.22]	C-index: 0.695 [0.611, 0.779]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021664	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.57 [1.12, 2.21]	C-index: 0.689 [0.612, 0.765]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021665	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.57 [1.12, 2.21]	C-index: 0.689 [0.612, 0.765]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021666	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.57 [1.12, 2.21]	C-index: 0.689 [0.612, 0.765]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021667	PGS004923 (T2D_metaGRS)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.43 [1.02, 2.01]	C-index: 0.696 [0.624, 0.767]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021668	PGS001357 (T2D_AnnoPred_PRS)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.39 [1.01, 1.92]	C-index: 0.687 [0.612, 0.762]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021669	PGS000729 (T2D_PGS)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.4 [1.0, 1.95]	C-index: 0.686 [0.611, 0.76]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021670	PGS000868 (T2D_221)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.37 [0.99, 1.9]	C-index: 0.684 [0.609, 0.758]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021671	PGS002671 (disease_T2D.PolyFun-pred)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.37 [0.99, 1.89]	C-index: 0.688 [0.612, 0.764]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021672	PGS002780 (GTG_T2D_SCT)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.31 [0.95, 1.81]	C-index: 0.683 [0.61, 0.755]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021673	PGS000805 (GRS582_T2Deur)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.28 [0.93, 1.76]	C-index: 0.679 [0.606, 0.753]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021674	PGS002026 (portability-ldpred2_250.2)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.28 [0.92, 1.77]	C-index: 0.686 [0.609, 0.763]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021675	PGS001818 (portability-PLR_250.2)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.25 [0.9, 1.73]	C-index: 0.687 [0.616, 0.758]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021676	PGS001781 (T2D_PRSCS)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.24 [0.9, 1.72]	C-index: 0.685 [0.609, 0.761]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021677	PGS000014 (GPS_T2D)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.24 [0.9, 1.7]	C-index: 0.684 [0.609, 0.758]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021678	PGS000036 (gePS_T2D)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.23 [0.89, 1.7]	C-index: 0.68 [0.603, 0.756]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021679	PGS002243 (ldpred_t2d)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.15 [0.83, 1.58]	C-index: 0.679 [0.606, 0.752]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM020792	PGS004615 (PGS_weights_TMM_All_of_1group)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.657	liability R2 (nested model): 0.097	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020796	PGS004616 (PGS_weights_TMM_HighBMI_of_2groups)	PSS011417\| East Asian Ancestry\| 26,000 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.653	liability R2 (nested model): 0.065	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM020805	PGS004620 (PGS_weights_BBJ2nd_LowBMI_of_2groups)	PSS011416\| East Asian Ancestry\| 33,096 individuals	PGP000593 \| Ojima T et al. Nat Genet (2024)	Reported Trait: Type 2 diabetes	—	AUROC: 0.682	liability R2 (nested model): 0.143	age, age2, sex, sex × age, sex × age2 and the top 20 principal components	—
PPM021682	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.42 [1.3, 1.55]	C-index: 0.639 [0.617, 0.662]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021683	PGS003445 (PRScsx_T2D_LAT_LATweights)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.42 [1.3, 1.55]	C-index: 0.639 [0.617, 0.662]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021684	PGS002771 (Type_2_diabetes_prscs)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.35 [1.24, 1.48]	C-index: 0.63 [0.607, 0.652]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021685	PGS004923 (T2D_metaGRS)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.35 [1.24, 1.48]	C-index: 0.629 [0.606, 0.651]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021686	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.33 [1.22, 1.45]	C-index: 0.627 [0.605, 0.65]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021687	PGS000330 (PRS_T2D)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.28 [1.17, 1.4]	C-index: 0.622 [0.6, 0.645]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021688	PGS000805 (GRS582_T2Deur)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.26 [1.16, 1.38]	C-index: 0.617 [0.594, 0.64]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021689	PGS000713 (T2D)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.26 [1.15, 1.37]	C-index: 0.619 [0.596, 0.641]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021690	PGS000729 (T2D_PGS)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.24 [1.14, 1.36]	C-index: 0.615 [0.592, 0.638]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021691	PGS002671 (disease_T2D.PolyFun-pred)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.24 [1.13, 1.35]	C-index: 0.612 [0.589, 0.636]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021692	PGS000868 (T2D_221)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.24 [1.14, 1.35]	C-index: 0.613 [0.59, 0.637]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021693	PGS001818 (portability-PLR_250.2)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.24 [1.13, 1.35]	C-index: 0.616 [0.594, 0.639]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021694	PGS002026 (portability-ldpred2_250.2)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.23 [1.13, 1.35]	C-index: 0.617 [0.595, 0.64]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021695	PGS002243 (ldpred_t2d)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.17 [1.08, 1.28]	C-index: 0.609 [0.586, 0.632]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021696	PGS001781 (T2D_PRSCS)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.16 [1.06, 1.27]	C-index: 0.607 [0.584, 0.63]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021697	PGS001357 (T2D_AnnoPred_PRS)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.15 [1.06, 1.26]	C-index: 0.606 [0.583, 0.629]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021698	PGS000036 (gePS_T2D)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.15 [1.05, 1.25]	C-index: 0.606 [0.583, 0.629]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021699	PGS000014 (GPS_T2D)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.14 [1.05, 1.24]	C-index: 0.605 [0.582, 0.628]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021700	PGS002780 (GTG_T2D_SCT)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.12 [1.03, 1.22]	C-index: 0.603 [0.58, 0.626]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021701	PGS000864 (T2D-gPRS)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.1 [1.02, 1.2]	C-index: 0.604 [0.58, 0.627]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021410	PGS004923 (T2D_metaGRS)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Type 2 diabetes	OR: 1.92 [1.88, 1.97]	AUROC: 0.737 [0.732, 0.742]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021412	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.86 [1.82, 1.9]	AUROC: 0.731 [0.726, 0.736]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021430	PGS002780 (GTG_T2D_SCT)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.46 [1.42, 1.49]	AUROC: 0.694 [0.689, 0.699]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021431	PGS000864 (T2D-gPRS)	PSS011737\| European Ancestry\| 109,021 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.34 [1.32, 1.37]	AUROC: 0.687 [0.682, 0.692]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021440	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011738\| European Ancestry\| 38,941 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.98 [1.84, 2.13]	C-index: 0.77 [0.754, 0.786]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021472	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.28 [1.25, 1.32]	AUROC: 0.721 [0.714, 0.727]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021487	PGS000864 (T2D-gPRS)	PSS011735\| African Ancestry\| 44,346 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.03 [1.0, 1.06]	AUROC: 0.711 [0.705, 0.718]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021726	PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)	PSS011762\| European Ancestry\| 8,417 individuals	PGP000665 \| Moreno-Grau S et al. Human Genomics (2024) \|Ext.	Reported Trait: Type 2 diabetes mellitus	OR: 1.93 [1.8, 2.07]	AUROC: 0.75	—	—	—
PPM021488	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011736\| Hispanic or Latin American Ancestry\| 33,652 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.77 [1.71, 1.84]	AUROC: 0.78 [0.773, 0.786]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021516	PGS002026 (portability-ldpred2_250.2)	PSS011740\| East Asian Ancestry\| 1,149 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.32 [1.13, 1.54]	AUROC: 0.621 [0.579, 0.663]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021537	PGS000805 (GRS582_T2Deur)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.45 [1.23, 1.72]	AUROC: 0.674 [0.633, 0.716]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021540	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011741\| South Asian Ancestry\| 852 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.43 [1.21, 1.7]	AUROC: 0.667 [0.626, 0.708]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021558	PGS004923 (T2D_metaGRS)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.63 [1.37, 1.96]	AUROC: 0.697 [0.655, 0.739]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021563	PGS000330 (PRS_T2D)	PSS011739\| Additional Asian Ancestries\| 870 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	OR: 1.45 [1.22, 1.72]	AUROC: 0.674 [0.632, 0.717]	—	Age at baseline, sex (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021578	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011743\| African Ancestry\| 6,871 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.4 [1.3, 1.52]	AUROC: 0.723 [0.705, 0.742]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021600	PGS003444 (PRScsx_T2D_LAT_EASweights)	PSS011745\| East Asian Ancestry\| 1,432 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.8 [1.4, 2.32]	AUROC: 0.738 [0.684, 0.791]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021618	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011749\| South Asian Ancestry\| 6,992 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Type 2 diabetes	OR: 1.91 [1.78, 2.05]	AUROC: 0.746 [0.732, 0.761]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021642	PGS000330 (PRS_T2D)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.17 [1.06, 1.29]	C-index: 0.646 [0.619, 0.672]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021646	PGS002671 (disease_T2D.PolyFun-pred)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.13 [1.02, 1.24]	C-index: 0.642 [0.615, 0.67]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021648	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011742\| African Ancestry\| 6,019 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.13 [1.02, 1.24]	C-index: 0.642 [0.616, 0.669]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021680	PGS000864 (T2D-gPRS)	PSS011744\| East Asian Ancestry\| 1,350 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.1 [0.81, 1.5]	C-index: 0.677 [0.604, 0.75]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	—
PPM021681	PGS003443 (PRScsx_T2D_LAT_EURweights)	PSS011748\| South Asian Ancestry\| 5,685 individuals	PGP000656 \| Ritchie SC et al. medRxiv (2024) \|Ext.\|Pre	Reported Trait: Incident type 2 diabetes	HR: 1.42 [1.3, 1.55]	C-index: 0.639 [0.617, 0.662]	—	Age at baseline, sex assessment centre (PGS adjusted for 20 PCs prior to model fitting)	Note: Performance is based on a linear combination of PGS003443 (weight=0.531117), PGS003444 (weight=0.5690198) and PGS003445 (weight=0.1465538). See score development details for more information
PPM021777	PGS005031 (Phe_250_2_prscs_METAss_amrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.726 [1.62, 1.84]	C-index: 0.79244	—	age, sex, 20 PCs	—
PPM021778	PGS005032 (Phe_250_2_prscs_METAss_eurld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.725 [1.61, 1.84]	C-index: 0.79098	—	age, sex, 20 PCs	—
PPM021779	PGS005027 (Phe_250_2_prscs_AFRss_afrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.19 [1.12, 1.26]	C-index: 0.7739	—	age, sex, 20 PCs	—
PPM021780	PGS005029 (Phe_250_2_prscs_HISss_amrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.604 [1.48, 1.74]	C-index: 0.78047	—	age, sex, 20 PCs	—
PPM021782	PGS005033 (Phe_250_2_prscsx_METAweight)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.887 [1.77, 2.02]	C-index: 0.79907	—	age, sex, 20 PCs	—
PPM021783	PGS005030 (Phe_250_2_prscs_METAss_afrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.723 [1.67, 1.78]	C-index: 0.72541	—	age, sex, 20 PCs	—
PPM021784	PGS005031 (Phe_250_2_prscs_METAss_amrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.843 [1.78, 1.91]	C-index: 0.73344	—	age, sex, 20 PCs	—
PPM021785	PGS005032 (Phe_250_2_prscs_METAss_eurld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.901 [1.84, 1.97]	C-index: 0.73686	—	age, sex, 20 PCs	—
PPM021786	PGS005027 (Phe_250_2_prscs_AFRss_afrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.238 [1.2, 1.28]	C-index: 0.6883	—	age, sex, 20 PCs	—
PPM021787	PGS005029 (Phe_250_2_prscs_HISss_amrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.32 [1.28, 1.36]	C-index: 0.69379	—	age, sex, 20 PCs	—
PPM021788	PGS005028 (Phe_250_2_prscs_EURss_eurld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.939 [1.88, 2.0]	C-index: 0.74223	—	age, sex, 20 PCs	—
PPM021789	PGS005033 (Phe_250_2_prscsx_METAweight)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.905 [1.84, 1.97]	C-index: 0.74131	—	age, sex, 20 PCs	—
PPM021791	PGS005031 (Phe_250_2_prscs_METAss_amrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.555 [1.47, 1.64]	C-index: 0.72865	—	age, sex, 20 PCs	—
PPM021792	PGS005032 (Phe_250_2_prscs_METAss_eurld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.599 [1.5, 1.7]	C-index: 0.72643	—	age, sex, 20 PCs	—
PPM021793	PGS005027 (Phe_250_2_prscs_AFRss_afrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.4 [1.31, 1.5]	C-index: 0.71542	—	age, sex, 20 PCs	—
PPM021794	PGS005029 (Phe_250_2_prscs_HISss_amrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.21 [1.15, 1.27]	C-index: 0.71129	—	age, sex, 20 PCs	—
PPM021795	PGS005028 (Phe_250_2_prscs_EURss_eurld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.486 [1.4, 1.58]	C-index: 0.72107	—	age, sex, 20 PCs	—
PPM021796	PGS005033 (Phe_250_2_prscsx_METAweight)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.634 [1.54, 1.73]	C-index: 0.73245	—	age, sex, 20 PCs	—
PPM021881	PGS005024 (Phe_250_2_ldpred_METAss_afrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.763 [1.65, 1.88]	C-index: 0.793	—	age, sex, 20 PCs	—
PPM021882	PGS005025 (Phe_250_2_ldpred_METAss_amrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.662 [1.56, 1.77]	C-index: 0.78959	—	age, sex, 20 PCs	—
PPM021883	PGS005026 (Phe_250_2_ldpred_METAss_eurld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.728 [1.61, 1.85]	C-index: 0.78877	—	age, sex, 20 PCs	—
PPM021884	PGS005021 (Phe_250_2_ldpred_AFRss_afrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.269 [1.19, 1.35]	C-index: 0.77529	—	age, sex, 20 PCs	—
PPM021885	PGS005023 (Phe_250_2_ldpred_HISss_amrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.656 [1.52, 1.8]	C-index: 0.78141	—	age, sex, 20 PCs	—
PPM021886	PGS005022 (Phe_250_2_ldpred_EURss_eurld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.725 [1.6, 1.86]	C-index: 0.78638	—	age, sex, 20 PCs	—
PPM021887	PGS005024 (Phe_250_2_ldpred_METAss_afrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.823 [1.76, 1.88]	C-index: 0.73139	—	age, sex, 20 PCs	—
PPM021888	PGS005025 (Phe_250_2_ldpred_METAss_amrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.699 [1.65, 1.75]	C-index: 0.7247	—	age, sex, 20 PCs	—
PPM021889	PGS005026 (Phe_250_2_ldpred_METAss_eurld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.916 [1.85, 1.98]	C-index: 0.73619	—	age, sex, 20 PCs	—
PPM021890	PGS005021 (Phe_250_2_ldpred_AFRss_afrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.276 [1.24, 1.31]	C-index: 0.69101	—	age, sex, 20 PCs	—
PPM021892	PGS005022 (Phe_250_2_ldpred_EURss_eurld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.741 [1.68, 1.8]	C-index: 0.72067	—	age, sex, 20 PCs	—
PPM021893	PGS005024 (Phe_250_2_ldpred_METAss_afrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.527 [1.45, 1.61]	C-index: 0.72638	—	age, sex, 20 PCs	—
PPM021894	PGS005025 (Phe_250_2_ldpred_METAss_amrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.509 [1.43, 1.59]	C-index: 0.72698	—	age, sex, 20 PCs	—
PPM021895	PGS005026 (Phe_250_2_ldpred_METAss_eurld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.529 [1.44, 1.63]	C-index: 0.72263	—	age, sex, 20 PCs	—
PPM021896	PGS005021 (Phe_250_2_ldpred_AFRss_afrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.429 [1.35, 1.51]	C-index: 0.72017	—	age, sex, 20 PCs	—
PPM021897	PGS005023 (Phe_250_2_ldpred_HISss_amrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.22 [1.16, 1.28]	C-index: 0.71211	—	age, sex, 20 PCs	—
PPM021898	PGS005022 (Phe_250_2_ldpred_EURss_eurld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.358 [1.27, 1.46]	C-index: 0.71296	—	age, sex, 20 PCs	—
PPM021776	PGS005030 (Phe_250_2_prscs_METAss_afrld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.67 [1.57, 1.78]	C-index: 0.79159	—	age, sex, 20 PCs	—
PPM021781	PGS005028 (Phe_250_2_prscs_EURss_eurld)	PSS011807\| Hispanic or Latin American Ancestry\| 8,102 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.902 [1.77, 2.04]	C-index: 0.798	—	age, sex, 20 PCs	—
PPM021790	PGS005030 (Phe_250_2_prscs_METAss_afrld)	PSS011797\| African Ancestry\| 10,808 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.507 [1.43, 1.59]	C-index: 0.72607	—	age, sex, 20 PCs	—
PPM021891	PGS005023 (Phe_250_2_ldpred_HISss_amrld)	PSS011817\| European Ancestry\| 30,374 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Type 2 diabetes	OR: 1.342 [1.3, 1.38]	C-index: 0.69576	—	age, sex, 20 PCs	—
PPM022294	PGS005108 (PRSdiabetes)	PSS011905\| East Asian Ancestry\| 7,745 individuals	PGP000697 \| Takase M et al. J Atheroscler Thromb (2023)	Reported Trait: Prevalent diabetes	—	—	Odds ratio (OR, high vs low PGS tertile): 3.16 [2.45, 4.12]	Age, sex, 6 PCs	—

Evaluated Samples

PGS Sample Set ID (PSS)	Phenotype Definitions and Methods	Participant Follow-up Time	Sample Numbers	Age of Study Participants	Sample Ancestry	Additional Ancestry Description	Cohort(s)	Additional Sample/Cohort Information
PSS011692	ICD-10 code, E11	—	433,150 individuals	—	European (British)	—	UKB	—
PSS011441	—	—	504 individuals [ 165 cases , 339 controls ] , 82.0 % Male samples	Mean = 27.5 years	African unspecified	—	PDAY	—
PSS011442	—	—	564 individuals [ 181 cases , 383 controls ] , 77.0 % Male samples	Mean = 26.7 years	European	—	PDAY	—
PSS008170	—	—	6,312 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011905	Diabetes was defined as non-fasting glucose ≥ 200 mg/dL, HbA1c ≥ 6.5% (48 mmol/mol), and/or self-reported treatment for diabetes	—	7,745 individuals, 23.7 % Male samples	Mean = 57.3 years Sd = 13.4 years	East Asian	—	TMM	—
PSS010014	PheCode 250.2 (http://phewascatalog.org/); Binary	—	21,356 individuals [ 4,884 cases , 16,472 controls ]	—	European	—	MGI	—
PSS000017	Type 2 diabetes ascertainment was based on self-report in an interview with a trained nurse or an ICD-10 code of E11.X in hospitalization records.	—	288,978 individuals [ 5,853 cases , 283,125 controls ]	—	European	—	UKB	UKB Phase 2
PSS000754	—	—	87,413 individuals	—	European	—	UKB	—
PSS000755	—	—	87,413 individuals	—	European	—	UKB	—
PSS000756	ICD-10 E11.0 - E11.9	—	135,300 individuals [ 17,519 cases , 117,781 controls ]	—	European (Finnish)	—	FinnGen	—
PSS011513	Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM)	—	33 individuals [ 13 cases , 20 controls ]	—	Not reported	—	MGBB	—
PSS011225	—	—	199,274 individuals [ 12,344 cases , 186,930 controls ]	—	European	—	EB	—
PSS010036	Field ID: 2443; Binary	—	203,197 individuals [ 9,797 cases , 193,400 controls ]	—	European	—	UKB	—
PSS009893	—	—	366 individuals	—	African American or Afro-Caribbean	—	SEARCH	—
PSS009894	—	—	412 individuals	—	Hispanic or Latin American	—	SEARCH	—
PSS009895	—	—	1,168 individuals	—	European	—	SEARCH	—
PSS009896	—	—	99 individuals	—	Not reported	—	SEARCH	—
PSS011236	T2D, ICD10: E11, ICD9: 250[0\|1]0 (exclude E10)	—	377,408 individuals [ 59,345 cases , 318,063 controls ]	—	European	—	FinnGen	—
PSS000025	Incident cases of Type 2 Diabetes in 5.63 years follow-up	—	6,280 individuals [ 302 cases , 5,978 controls ] , 55.0 % Male samples	—	European (Estonian)	—	EB	—
PSS009902	—	—	600 individuals [ 300 cases , 300 controls ]	—	European (Italian)	—	NR	—
PSS011249	—	—	44,057 individuals [ 6,630 cases , 37,427 controls ]	—	South Asian	—	G&H	—
PSS011645	—	—	412,090 individuals [ 62,413 cases , 349,677 controls ]	—	European	—	FinnGen	—
PSS000441	National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9.	—	21,030 individuals [ 1,346 cases , 19,684 controls ] , 47.3 % Male samples	Mean (Age At Baseline) = 48.0 years	European (Finnish)	—	FINRISK	FINRISK surveys from 1992, 1997, 2002 and 2007
PSS007738	—	—	2,476 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS011647	—	—	7,018 individuals [ 613 cases , 6,405 controls ]	—	European	—	GS:SFHS	—
PSS000448	National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9.	—	135,300 individuals [ 17,519 cases , 117,781 controls ] , 43.7 % Male samples	Mean (Age At Baseline) = 59.2 years Sd = 16.6 years	European (Finnish)	—	FinnGen	—
PSS011265	—	—	66,865 individuals [ 3,861 cases , 63,004 controls ]	—	European	—	HUNT	—
PSS011648	—	—	29,427 individuals [ 2,423 cases , 27,004 controls ]	—	European	—	GEL	—
PSS011649	—	—	69,715 individuals [ 3,129 cases , 66,586 controls ]	—	European	—	HUNT	—
PSS009288	—	—	19,931 individuals	—	European	UK (+ Ireland)	UKB	—
PSS011278	—	—	90,274 individuals [ 5,937 cases , 84,337 controls ]	—	European	—	UKB	—
PSS011650	—	—	38,343 individuals [ 5,430 cases , 32,913 controls ]	—	European	—	MGBB	—
PSS010055	—	—	22,608 individuals	—	East Asian	—	KBA, KoGES	—
PSS011291	—	—	9,326 individuals [ 2,066 cases , 7,260 controls ]	—	South Asian	—	UKB	—
PSS000042	T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications	—	820 individuals [ 118 cases , 702 controls ] , 38.8 % Male samples	—	African American or Afro-Caribbean	—	CARDIA	—
PSS000043	T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications	—	1,650 individuals [ 97 cases , 1,553 controls ] , 46.5 % Male samples	—	European	—	CARDIA	—
PSS000044	T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications	—	3,471 individuals [ 446 cases , 3,025 controls ] , 46.6 % Male samples	—	European	—	FOS	—
PSS009629	—	—	5,806 individuals	—	South Asian (Indian)	—	INSPIRED	Dr. Mohan’s Diabetes Specialities Centre (INSPIRED - DMDSC)
PSS004312	—	—	6,497 individuals [ 89 cases , 6,408 controls ]	—	African unspecified	—	UKB	—
PSS004313	—	—	1,704 individuals [ 16 cases , 1,688 controls ]	—	East Asian	—	UKB	—
PSS004314	—	—	24,905 individuals [ 180 cases , 24,725 controls ]	—	European	non-white British ancestry	UKB	—
PSS004315	—	—	7,831 individuals [ 171 cases , 7,660 controls ]	—	South Asian	—	UKB	—
PSS004316	—	—	67,425 individuals [ 581 cases , 66,844 controls ]	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS011474	—	—	8,837 individuals	—	South Asian	—	G&H	—
PSS011296	22,667 sibling pairs	—	45,334 individuals	—	European	—	UKB	—
PSS011735	T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis	—	44,346 individuals [ 5,663 cases , 38,683 controls ]	—	African unspecified	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	AllofUs	—
PSS011736	T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis	—	33,652 individuals [ 4,033 cases , 29,619 controls ]	—	Hispanic or Latin American	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	AllofUs	—
PSS011737	T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab results. Participants with T1D or uncertain diabetes status were excluded from analysis	—	109,021 individuals [ 10,069 cases , 98,952 controls ]	—	European	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	AllofUs	—
PSS000054	Prevalent T2D status was defined using self-reported medical history and medication	—	324,870 individuals [ 13,480 cases , 311,390 controls ]	—	European	—	UKB	—
PSS011097	—	—	2,669 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab)	—	NR	N total after excluding missing values = 2,553
PSS011738	T2D was defined using ICD-10 codes E10-E14, G59.0, G63.2, H28.0, H36.0, M14.2, N08.3, or O24.0-O24.3. Participants with any diabetes history were excluded from analysis. Incident diabetes events were treated as incident T2D	—	38,941 individuals [ 726 cases , 38,215 controls ]	—	European	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	INTERVAL	—
PSS011299	T2D ICD-10 code E11	Median = 12.55 years IQR = [11.72, 13.27] years	395,809 individuals, 45.8 % Male samples	Mean = 56.7 years Sd = 8.0 years	European	—	UKB	—
PSS011740	Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L)	—	1,149 individuals [ 205 cases , 944 controls ]	—	East Asian (Chinese Singaporean)	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	SingaporeMEC	—
PSS011741	Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L)	—	852 individuals [ 194 cases , 658 controls ]	—	South Asian (Indian Singaporean)	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	SingaporeMEC	—
PSS011739	Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American Diabetes Association criteria (fasting glucose ≥ 7 mmol/L or HbA1c ≥ 6.5% or random blood glucose ≥11 mmol/L)	—	870 individuals [ 187 cases , 683 controls ]	—	South East Asian (Malay Singaporean)	Ancestry label assigned based on Malay being the majority reported ethnicity within the genetic cluster	SingaporeMEC	—
PSS011301	—	—	1,282 individuals [ 821 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011302	—	—	830 individuals [ 369 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011303	—	—	729 individuals [ 268 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011304	—	—	482 individuals [ 21 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011305	—	—	624 individuals [ 163 cases , 461 controls ]	—	South Asian (Indian)	—	WellGen	—
PSS011747	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	245,177 individuals [ 11,080 cases , 234,097 controls ]	—	European	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011746	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	232,808 individuals [ 6,016 cases , 226,792 controls ]	—	European	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011743	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	6,871 individuals [ 766 cases , 6,105 controls ]	—	African unspecified	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011745	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	1,432 individuals [ 76 cases , 1,356 controls ]	—	East Asian	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011749	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	6,992 individuals [ 1,253 cases , 5,739 controls ]	—	South Asian	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011748	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	5,685 individuals [ 513 cases , 5,172 controls ]	—	South Asian	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011507	—	—	7,879 individuals	—	European	—	AllofUs	—
PSS008841	—	—	3,896 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS011513	Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM)	—	6 individuals [ 2 cases , 4 controls ]	—	Asian unspecified	—	MGBB	—
PSS011513	Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM)	—	29 individuals [ 13 cases , 16 controls ]	—	African American or Afro-Caribbean	—	MGBB	—
PSS011513	Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM)	—	478 individuals [ 182 cases , 296 controls ]	—	European	—	MGBB	—
PSS011306	—	—	5,024 individuals, 40.0 % Male samples	—	East Asian (Chinese)	—	Wuxi NCDs	—
PSS000232	Individuals with T2D were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications.	—	7,746 individuals [ 2,499 cases , 5,247 controls ] , 39.65 % Male samples	—	Hispanic or Latin American (Central American, Cuban, Dominican, Mexican, Puerto Rican, South American)	Ancestry groups were defined based on a combination of self-identified Hispanic/Latino background and genetic similarity	HCHS, SOL	—
PSS011514	—	—	7,010 individuals [ 2,004 cases , 5,006 controls ]	—	African American or Afro-Caribbean	—	AllofUs	—
PSS011515	—	—	7,010 individuals [ 2,004 cases , 5,006 controls ]	—	African American or Afro-Caribbean	—	AllofUs	—
PSS011515	—	—	5,382 individuals [ 1,325 cases , 4,057 controls ]	—	Hispanic or Latin American	—	AllofUs	—
PSS011515	—	—	663 individuals [ 100 cases , 563 controls ]	—	East Asian	—	AllofUs	—
PSS011515	—	—	22,306 individuals [ 3,646 cases , 18,660 controls ]	—	European	—	AllofUs	—
PSS011516	—	—	5,382 individuals [ 1,325 cases , 4,057 controls ]	—	Hispanic or Latin American	—	AllofUs	—
PSS011517	—	—	663 individuals [ 100 cases , 563 controls ]	—	East Asian	—	AllofUs	—
PSS011518	—	—	22,306 individuals [ 3,646 cases , 18,660 controls ]	—	European	—	AllofUs	—
PSS011519	—	—	323 individuals [ 88 cases , 235 controls ]	—	South Asian	—	AllofUs	—
PSS011515	—	—	323 individuals [ 88 cases , 235 controls ]	—	South Asian	—	AllofUs	—
PSS011762	—	—	8,417 individuals	—	European	—	BBofA	—
PSS009939	—	—	39,444 individuals	—	European (Finnish)	—	FinnGen	—
PSS000869	CALIBER rule-based phenotyping algorithms (https://github.com/spiros/chronological-map-phenotypes#diabetes)	Median = 6.9 years	3,087 individuals [ 27 cases , 3,060 controls ] , 51.0 % Male samples	Median = 44.0 years IQR = [30.5, 54.7] years	European	—	INTERVAL	—
PSS009943	We used the disease definitions described in the supplement of Eastwood et al (2016). PMID: 27631769	—	5,472 individuals [ 912 cases , 4,560 controls ] , 45.0 % Male samples		European	—	UKB	—
PSS009669	T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.	—	5,498 individuals [ 2,776 cases , 2,722 controls ]	—	African American or Afro-Caribbean (African)	—	GenHAT	—
PSS009670	T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.	—	1,896 individuals [ 402 cases , 1,494 controls ]	—	African American or Afro-Caribbean (African)	—	HYPERGEN	—
PSS009671	T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.	—	6,745 individuals [ 1,659 cases , 5,086 controls ]	—	African American or Afro-Caribbean (African)	—	REGARDS	—
PSS009672	Self-reported T2D	—	25,110 individuals [ 1,248 cases , 23,862 controls ]	—	East Asian (Taiwanese)	—	TWB	—
PSS009673	Self-reported T2D	—	54,078 individuals [ 2,806 cases , 51,272 controls ]	—	East Asian (Taiwanese)	—	TWB	—
PSS009674	Self-reported T2D	—	10,378 individuals [ 516 cases , 9,862 controls ]	—	East Asian (Taiwanese)	—	TWB	—
PSS009675	T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.	—	655 individuals [ 300 cases , 355 controls ]	—	African American or Afro-Caribbean (African)	—	WPC	—
PSS009676	An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites	—	12,472 individuals [ 2,688 cases , 9,784 controls ]	—	African American or Afro-Caribbean (African)	—	eMERGE	—
PSS009677	An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites	—	54,793 individuals [ 8,389 cases , 46,404 controls ]	—	European (European)	—	eMERGE	—
PSS009678	An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites	—	2,374 individuals [ 868 cases , 1,506 controls ]	—	Hispanic or Latin American (Hispanic/Latino)	—	eMERGE	—
PSS010101	—	—	3,712 individuals [ 514 cases , 3,198 controls ] , 0.0 % Male samples	—	South Asian	—	BiB, START	70% validation set from each cohort
PSS008392	—	—	1,197 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS011537	—	Median = 8.9 years IQR = [8.3, 9.5] years	345,217 individuals [ 21,865 cases , 323,352 controls ] , 44.6 % Male samples	Mean = 56.1 years Sd = 8.0 years	European (White British)	—	UKB	—
PSS011343	—	—	67,428 individuals [ 5,089 cases , 62,339 controls ] , 46.0 % Male samples	—	European (White British)	—	UKB	—
PSS009971	—	—	30,716 individuals	—	European	—	MGBB	—
PSS009971	—	—	1,807 individuals	—	African unspecified (Black)	—	MGBB	—
PSS009971	—	—	786 individuals	—	Asian unspecified	—	MGBB	—
PSS009971	—	—	3,113 individuals	—	Other	—	MGBB	—
PSS011181	—	—	3,071 individuals, 48.8 % Male samples	Mean = 57.4 years Sd = 12.88 years	Not reported	—	KORA	—
PSS001044	Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes, and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the ARIC cohort prevalent type 2 diabetes was defined at the baseline examination as fasting (≥8 h) blood glucose ≥126 mg/dL, or nonfasting glucose ≥200 mg/dL, self-report physician diagnosis of diabetes or “sugar in the blood,” or current medication use for diabetes within the last two weeks. For the CARDIA cohort, T2D was determined at last visit based on a combination of measured fasting glucose levels (≥7.0 mmol/L and ≥126 mg/dL) at examination years 0, 7, 10, 15, 20, or 25; self-report of oral hypoglycemic medications or insulin at years 0, 7, 10, 15, 20, or 25; a 2-h postload glucose ≥11.1 mmol/L (≥200 mg/dL) during a 75-g oral glucose tolerance test at years 10, 20, and 25; or an HbA1c ≥6.5% at years 20 and 25.	—	15,609 individuals [ 5,972 cases , 9,637 controls ]	—	African American or Afro-Caribbean	—	ARIC, BioMe, CARDIA, MEC, WHI	Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dafr.
PSS001045	Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”.	—	4,576 individuals [ 2,004 cases , 2,572 controls ]	—	Asian unspecified	—	BioMe, MEC, WHI	Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dasn.
PSS001046	Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the UKB cohort, T2D cases were defined by an ICD-10 code of E11.X or a self-reported diagnosis in an interview with a trained nurse.	—	423,729 individuals [ 19,786 cases , 403,943 controls ]	—	European	—	UKB	Possible significant sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Deur
PSS001047	Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the SOL cohort, T2D cases were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications.	—	20,486 individuals [ 4,137 cases , 16,349 controls ]	—	Hispanic or Latin American	—	BioMe, MEC, SOL, WHI	Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dhis.
PSS001048	Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individualswith (1) a T2D diagnosis by a physician/medical professional and use of medication for treat-mentofdiabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare.	—	3,551 individuals [ 1,534 cases , 2,017 controls ]	—	Oceanian (Native Hawaiian)	—	MEC	—
PSS007957	—	—	1,808 individuals	—	East Asian	China (East Asia)	UKB	—
PSS011360	—	—	2,676 individuals, 32.47 % Male samples	Mean = 54.0 years Sd = 11.8 years	East Asian (Chinese)	—	WHZH	—
PSS011364	—	—	56,192 individuals	—	European	—	UKB	—
PSS011797	—	—	10,808 individuals [ 3,016 cases , 7,792 controls ]	—	African American or Afro-Caribbean	—	AllofUs	—
PSS010157	—	—	1,484 individuals [ 399 cases , 1,085 controls ]	Mean = 42.3 years	Hispanic or Latin American (Mexican)	—	METSB	—
PSS011807	—	—	8,102 individuals [ 2,144 cases , 5,958 controls ]	—	Hispanic or Latin American	—	AllofUs	—
PSS010982	—	Mean = 7.15 years	2,333 individuals [ 640 cases , 1,693 controls ]	Mean = 31.04 years Sd = 10.43 years	Native American	—	NR	—
PSS010983	—	Mean = 21.28 years	2,894 individuals [ 438 cases , 2,456 controls ]	—	Native American	—	NR	—
PSS010984	—	Mean = 7.99 years	2,229 individuals [ 228 cases , 2,001 controls ]	Mean = 12.05 years Sd = 3.73 years	Native American	—	NR	—
PSS011817	—	—	30,374 individuals [ 5,958 cases , 24,416 controls ]	—	European	—	AllofUs	—
PSS009514	—	—	178,726 individuals [ 40,121 cases , 138,605 controls ]	—	East Asian (Japanese)	—	BBJ	—
PSS009518	—	—	110,597 individuals [ 7,066 cases , 103,531 controls ]	—	European (Estonian)	—	EB	—
PSS003606	—	—	178,138 individuals [ 4,659 cases , 173,479 controls ]	Mean = 56.81 years	European	—	UKB	—
PSS009522	—	—	258,402 individuals [ 37,001 cases , 221,401 controls ]	—	European (Finnish)	—	FinnGen	—
PSS009526	—	—	69,422 individuals [ 5,228 cases , 64,194 controls ]	—	European	Norwegian	HUNT	—
PSS009530	—	—	1,535 individuals [ 660 cases , 875 controls ]	—	African American or Afro-Caribbean	—	MGBB	—
PSS011644	—	—	148,312 individuals [ 6,813 cases , 141,499 controls ]	—	European	—	EB	—
PSS009534	—	—	25,696 individuals [ 5,182 cases , 20,514 controls ]	—	European	—	MGBB	—
PSS011646	—	—	44,183 individuals [ 6,537 cases , 37,646 controls ]	—	European	—	G&H	—
PSS009062	—	—	4,121 individuals	—	European	Poland (NE Europe)	UKB	—
PSS004575	—	—	6,497 individuals [ 806 cases , 5,691 controls ]	—	African unspecified	—	UKB	—
PSS004576	—	—	1,704 individuals [ 106 cases , 1,598 controls ]	—	East Asian	—	UKB	—
PSS004577	—	—	24,905 individuals [ 1,354 cases , 23,551 controls ]	—	European	non-white British ancestry	UKB	—
PSS004578	—	—	7,831 individuals [ 1,637 cases , 6,194 controls ]	—	South Asian	—	UKB	—
PSS004579	—	—	67,425 individuals [ 4,071 cases , 63,354 controls ]	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS009538	—	—	7,618 individuals [ 691 cases , 6,927 controls ]	—	African unspecified	—	UKB	—
PSS009542	—	—	343,676 individuals [ 13,616 cases , 330,060 controls ]	—	European	British	UKB	—
PSS011003	—	—	122,144 individuals [ 3,069 cases , 119,075 controls ]	—	European	—	UKB	—
PSS011002	—	—	125,189 individuals [ 6,114 cases , 119,075 controls ]	—	European	—	UKB	—
PSS011000	—	—	7,067 individuals [ 953 cases , 6,114 controls ]	—	European	—	UKB	—
PSS011395	—	Mean = 8.1 years	357,419 individuals	—	European (White British)	—	UKB	—
PSS009546	—	—	7,628 individuals [ 1,120 cases , 6,508 controls ]	—	South Asian	—	UKB	—
PSS001084	Moderate Age-Related Diabetes (MARD) vs. controls	—	5,597 individuals [ 2,853 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001085	Moderate Obesity-related Diabetes (MOD) vs. controls	—	4,116 individuals [ 1,372 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001086	Severe Autoimmune Diabetes (SAID) vs. controls	—	3,194 individuals [ 450 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001087	Severe Insulin-Deficient Diabetes (SIDD) vs. controls	—	3,930 individuals [ 1,186 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001088	Severe Insulin-Resistant Diabetes (SIRD) vs. controls	—	3,869 individuals [ 1,125 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS011407	—	Mean = 6.8 years IQR = [6.3, 7.3] years	59,325 individuals [ 884 cases , 58,441 controls ] , 44.0 % Male samples	Mean = 61.1 years Sd = 7.8 years	European, Not reported	White European (97.1%)	UKB	—
PSS011742	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	6,019 individuals [ 395 cases , 5,624 controls ]	—	African unspecified	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS011744	Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis coding E11 in either the hospital inpatient or death registry data	—	1,350 individuals [ 37 cases , 1,313 controls ]	—	East Asian	Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations	UKB	—
PSS001092	All individuals had cystic fibrosis with either 2 severe CFTR mutations and/or clinically diagnosed exocrine pancreatic insufficiency. Cases are individuals with cystic fibrosis related diabetes (CFRD).Phenotypes were obtained from extracted medical charts and CF Foundation Patient Registry through 2011. CFRD was defined by clinician diagnosis of diabetes plus insulin treatment for at least 1 year. The onset of CFRD was defined as the date at which insulin was started, if it was subsequently continued for at least 1 year. In approximately 50% of the participants, independent laboratory data (such as oral glucose tolerance test or hemoglobin A1c) were able to independently confirm the diagnosis of CFRD. Diabetes data were censored at the last clinic visit or date of solid organ transplant.	—	5,740 individuals [ 1,341 cases , 4,399 controls ] , 47.04 % Male samples	Mean = 20.0 years	Not reported	—	CGS, CWRU, FrGMC, JHU, UNC	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	12,508 individuals, 45.86 % Male samples	Mean = 48.9 years	European	—	MGBB	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	1,003 individuals, 45.86 % Male samples	Mean = 48.9 years	Hispanic or Latin American	—	MGBB	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	520 individuals, 45.86 % Male samples	Mean = 48.9 years	African unspecified	—	MGBB	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	240 individuals, 45.86 % Male samples	Mean = 48.9 years	East Asian	—	MGBB	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	117 individuals, 45.86 % Male samples	Mean = 48.9 years	South Asian	—	MGBB	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	125 individuals, 45.86 % Male samples	Mean = 48.9 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	—	MGBB	—
PSS011671	Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome	Median = 13.9 years	199 individuals, 45.86 % Male samples	Mean = 48.9 years	Not reported	—	MGBB	—
PSS011416	—	—	33,096 individuals [ 11,236 cases , 21,860 controls ] , 65.0 % Male samples	—	East Asian (Japanese)	—	BBJ	—
PSS008616	—	—	6,646 individuals	—	European	Italy (South Europe)	UKB	—
PSS011417	—	—	26,000 individuals [ 6,000 cases , 20,000 controls ] , 50.0 % Male samples	—	East Asian (Japanese)	—	ToMMo	—
PSS007684	Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first.	Median = 13.0 years IQR = [7.5, 19.7] years	309,154 individuals [ 44,266 cases , 264,888 controls ] , 43.8 % Male samples	Mean (Age At Baseline) = 53.2 years Sd = 17.4 years	European (Finnish)	—	FinnGen	—
PSS007685	Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first.	—	279,879 individuals [ 14,991 cases , 264,888 controls ] , 42.9 % Male samples	Mean (Age At Baseline) = 51.8 years Sd = 17.4 years	European (Finnish)	—	FinnGen	—
PSS007686	Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first.	—	309,154 individuals [ 29,275 cases , 279,879 controls ] , 43.8 % Male samples	Mean (Age At Baseline) = 53.2 years Sd = 17.4 years	European (Finnish)	—	FinnGen	—
PSS007690	Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first.	Median = 10.4 years IQR = [8.3, 11.3] years	343,672 individuals [ 24,192 cases , 319,480 controls ] , 46.3 % Male samples	Mean (Age At Baseline) = 57.4 years Sd = 8.0 years	European (British)	UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry.	UKB	—
PSS007691	Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first.	—	328,115 individuals [ 8,635 cases , 319,480 controls ] , 45.5 % Male samples	Mean (Age At Baseline) = 57.2 years Sd = 8.0 years	European (British)	UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry.	UKB	—
PSS001117	T2D cases were defined as having an ICD-10 code of E11.X or having self-reported T2D in the in- terview. Only cases in which the individuals did not have T2D during the first assessment visit period (2006–2010) but were subsequently fol- lowed up for incident T2D events were considered.	Median = 3.58 years	68,229 individuals [ 1,281 cases , 66,948 controls ] , 47.81 % Male samples	—	European	—	UKB	—
PSS007692	Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first.	—	343,672 individuals [ 15,557 cases , 328,115 controls ] , 46.3 % Male samples	Mean (Age At Baseline) = 57.4 years Sd = 8.0 years	European (British)	UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry.	UKB	—
PSS009859	—	—	6,503 individuals	—	African unspecified	—	UKB	—
PSS009860	—	—	922 individuals	—	East Asian	—	UKB	—
PSS009861	—	—	43,505 individuals	—	European	Non-British European	UKB	—
PSS009862	—	—	8,098 individuals	—	South Asian	—	UKB	—