PGS Catalog - Monti R, Am J Hum Genet (2024) (Publication)

PGS Publication: PGP000517

Publication Information (EuropePMC)
Title	Evaluation of polygenic scoring methods in five biobanks shows larger variation between biobanks than methods and finds benefits of ensemble learning.
PubMed ID	38908374(Europe PMC)
doi	10.1016/j.ajhg.2024.06.003
Publication Date	June 20, 2024
Journal	*Am J Hum Genet*
Author(s)	Monti R, Eick L, Hudjashov G, Läll K, Kanoni S, Wolford BN, Wingfield B, Pain O, Wharrie S, Jermy B, McMahon A, Hartonen T, Heyne H, Mars N, Lambert S, Genes and Health Research Team, Hveem K, Inouye M, van Heel DA, Mägi R, Marttinen P, Ripatti S, Ganna A, Lippert C.

Released in PGS Catalog: Dec. 19, 2023

Associated Polygenic Score(s)

PGS Developed By This Publication

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)
PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	945,385		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004139/ScoringFiles/PGS004139.txt.gz
PGS004141 (sbayesr.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	683,029		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004141/ScoringFiles/PGS004141.txt.gz
PGS004142 (sbayesr.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	804,867	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004142/ScoringFiles/PGS004142.txt.gz
PGS004144 (sbayesr.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	822,407	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004144/ScoringFiles/PGS004144.txt.gz
PGS004145 (sbayesr.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	822,407		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004145/ScoringFiles/PGS004145.txt.gz
PGS004149 (sbayesr.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	962,278	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004149/ScoringFiles/PGS004149.txt.gz
PGS004146 (sbayesr.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	915,771	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004146/ScoringFiles/PGS004146.txt.gz
PGS004135 (sbayesr.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	912,746		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004135/ScoringFiles/PGS004135.txt.gz
PGS004140 (sbayesr.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	875,144		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004140/ScoringFiles/PGS004140.txt.gz
PGS004147 (sbayesr.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	45,996		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.txt.gz
PGS004148 (sbayesr.auto.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	671,211		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004148/ScoringFiles/PGS004148.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
PGS004096 (prscs.CV.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	1,011,571		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004096/ScoringFiles/PGS004096.txt.gz
PGS004045 (ldpred2.CV.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	1,050,295	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004045/ScoringFiles/PGS004045.txt.gz
PGS003981 (dbslmm.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	1,103,311		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003981/ScoringFiles/PGS003981.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
PGS004102 (prscs.CV.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	61,651		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.txt.gz
PGS003982 (dbslmm.auto.GCST004773.T2D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 2 diabetes (T2D)	type 2 diabetes mellitus	1,071,764		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003982/ScoringFiles/PGS003982.txt.gz
PGS003993 (dbslmm.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	63,182		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.txt.gz
PGS003994 (dbslmm.auto.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	778,205		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003994/ScoringFiles/PGS003994.txt.gz
PGS003989 (dbslmm.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	1,141,637		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003989/ScoringFiles/PGS003989.txt.gz
PGS003988 (dbslmm.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	1,141,637	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003988/ScoringFiles/PGS003988.txt.gz
PGS003990 (dbslmm.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	1,005,456	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003990/ScoringFiles/PGS003990.txt.gz
PGS003986 (dbslmm.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	1,138,429		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003986/ScoringFiles/PGS003986.txt.gz
PGS003980 (dbslmm.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	1,039,020		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003980/ScoringFiles/PGS003980.txt.gz
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
PGS004087 (prscs.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	989,845		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004087/ScoringFiles/PGS004087.txt.gz
PGS004021 (lassosum.CV.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	315,740		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004021/ScoringFiles/PGS004021.txt.gz
PGS004095 (prscs.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	1,088,125	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004095/ScoringFiles/PGS004095.txt.gz
PGS004041 (ldpred2.CV.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	1,011,468		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004041/ScoringFiles/PGS004041.txt.gz
PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	1,137,459		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003983/ScoringFiles/PGS003983.txt.gz
PGS003995 (dbslmm.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	1,119,867	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003995/ScoringFiles/PGS003995.txt.gz
PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	7,279	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004130/ScoringFiles/PGS004130.txt.gz
PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	13,086		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003999/ScoringFiles/PGS003999.txt.gz
PGS003984 (dbslmm.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	1,121,845		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003984/ScoringFiles/PGS003984.txt.gz
PGS004019 (lassosum.CV.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	56,575		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004019/ScoringFiles/PGS004019.txt.gz
PGS004111 (pt_clump.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	51		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004111/ScoringFiles/PGS004111.txt.gz
PGS004113 (pt_clump.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	301		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004113/ScoringFiles/PGS004113.txt.gz
PGS004114 (pt_clump.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	248	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004114/ScoringFiles/PGS004114.txt.gz
PGS004018 (lassosum.CV.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	100,595	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004018/ScoringFiles/PGS004018.txt.gz
PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	1,139,671		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003985/ScoringFiles/PGS003985.txt.gz
PGS003987 (dbslmm.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	1,009,642		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003987/ScoringFiles/PGS003987.txt.gz
PGS003991 (dbslmm.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	1,005,456		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003991/ScoringFiles/PGS003991.txt.gz
PGS003997 (lassosum.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	8,406		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003997/ScoringFiles/PGS003997.txt.gz
PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	1,041,298		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004040/ScoringFiles/PGS004040.txt.gz
PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	26,873		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004001/ScoringFiles/PGS004001.txt.gz
PGS004002 (lassosum.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	7,708		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004002/ScoringFiles/PGS004002.txt.gz
PGS004004 (lassosum.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	15,373	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004004/ScoringFiles/PGS004004.txt.gz
PGS004007 (lassosum.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	19,101		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004007/ScoringFiles/PGS004007.txt.gz
PGS004009 (lassosum.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	4,031		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.txt.gz
PGS004010 (lassosum.auto.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	27,045		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004010/ScoringFiles/PGS004010.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
PGS004015 (lassosum.CV.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	65,138		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004015/ScoringFiles/PGS004015.txt.gz
PGS004022 (ldpred2.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	919,377		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004022/ScoringFiles/PGS004022.txt.gz
PGS004023 (ldpred2.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	1,018,068		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004023/ScoringFiles/PGS004023.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
PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	1,045,276		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004027/ScoringFiles/PGS004027.txt.gz
PGS004029 (ldpred2.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	907,906		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004029/ScoringFiles/PGS004029.txt.gz
PGS004031 (ldpred2.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	1,050,295		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004031/ScoringFiles/PGS004031.txt.gz
PGS004033 (ldpred2.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	865,644		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004033/ScoringFiles/PGS004033.txt.gz
PGS004035 (ldpred2.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	56,562		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.txt.gz
PGS004038 (ldpred2.CV.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	1,018,068		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004038/ScoringFiles/PGS004038.txt.gz
PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	1,045,276		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004042/ScoringFiles/PGS004042.txt.gz
PGS004043 (ldpred2.CV.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	578,264		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004043/ScoringFiles/PGS004043.txt.gz
PGS004044 (ldpred2.CV.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	907,906		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004044/ScoringFiles/PGS004044.txt.gz
PGS004046 (ldpred2.CV.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	1,050,295		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004046/ScoringFiles/PGS004046.txt.gz
PGS004047 (ldpred2.CV.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	865,644	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004047/ScoringFiles/PGS004047.txt.gz
PGS004092 (prscs.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	1,109,233	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004092/ScoringFiles/PGS004092.txt.gz
PGS004048 (ldpred2.CV.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	865,644		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004048/ScoringFiles/PGS004048.txt.gz
PGS004050 (megaprs.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	609,706		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004050/ScoringFiles/PGS004050.txt.gz
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
PGS004056 (megaprs.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	791,965		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004056/ScoringFiles/PGS004056.txt.gz
PGS004037 (ldpred2.CV.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	919,377		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004037/ScoringFiles/PGS004037.txt.gz
PGS004063 (megaprs.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	56,288		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.txt.gz
PGS004064 (megaprs.auto.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	402,214		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004064/ScoringFiles/PGS004064.txt.gz
PGS004070 (megaprs.CV.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	852,173		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004070/ScoringFiles/PGS004070.txt.gz
PGS004072 (megaprs.CV.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	791,965		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004072/ScoringFiles/PGS004072.txt.gz
PGS004075 (megaprs.CV.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	846,995		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004075/ScoringFiles/PGS004075.txt.gz
PGS004080 (prscs.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	1,011,571		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004080/ScoringFiles/PGS004080.txt.gz
PGS004086 (prscs.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	1,103,534		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004086/ScoringFiles/PGS004086.txt.gz
PGS004093 (prscs.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	61,651		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.txt.gz
PGS004097 (prscs.CV.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	1,073,268		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004097/ScoringFiles/PGS004097.txt.gz
PGS004098 (prscs.CV.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	1,091,747		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004098/ScoringFiles/PGS004098.txt.gz
PGS004100 (prscs.CV.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	1,103,534		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004100/ScoringFiles/PGS004100.txt.gz
PGS004103 (prscs.CV.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	755,048		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004103/ScoringFiles/PGS004103.txt.gz
PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	209		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004107/ScoringFiles/PGS004107.txt.gz
PGS004112 (pt_clump.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	301	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004112/ScoringFiles/PGS004112.txt.gz
PGS004115 (pt_clump.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	248		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004115/ScoringFiles/PGS004115.txt.gz
PGS004118 (pt_clump.auto.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	91		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004118/ScoringFiles/PGS004118.txt.gz
PGS004119 (pt_clump.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	2,632	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004119/ScoringFiles/PGS004119.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
PGS004108 (pt_clump.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	13		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004108/ScoringFiles/PGS004108.txt.gz
PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	200		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004109/ScoringFiles/PGS004109.txt.gz
PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	5,808		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004124/ScoringFiles/PGS004124.txt.gz
PGS004126 (pt_clump_nested.CV.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	579		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004126/ScoringFiles/PGS004126.txt.gz
PGS004129 (pt_clump_nested.CV.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	8,543		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004129/ScoringFiles/PGS004129.txt.gz
PGS004131 (pt_clump_nested.CV.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	7,279		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004131/ScoringFiles/PGS004131.txt.gz
PGS004133 (pt_clump_nested.CV.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	155		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004133/ScoringFiles/PGS004133.txt.gz
PGS004134 (sbayesr.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	782,021		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004134/ScoringFiles/PGS004134.txt.gz
PGS004138 (sbayesr.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	888,649		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004138/ScoringFiles/PGS004138.txt.gz
PGS004143 (sbayesr.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	804,867		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004143/ScoringFiles/PGS004143.txt.gz
PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	1,102,205		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004151/ScoringFiles/PGS004151.txt.gz
PGS004104 (pt_clump.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	83		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004104/ScoringFiles/PGS004104.txt.gz
PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	1,009,664		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004157/ScoringFiles/PGS004157.txt.gz
PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	976,174	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004160/ScoringFiles/PGS004160.txt.gz
PGS004162 (UKBB_EnsPGS.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	62,645		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.txt.gz
PGS004105 (pt_clump.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	139		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004105/ScoringFiles/PGS004105.txt.gz
PGS004008 (lassosum.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	5,663	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004008/ScoringFiles/PGS004008.txt.gz
PGS004005 (lassosum.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	15,373		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004005/ScoringFiles/PGS004005.txt.gz
PGS004006 (lassosum.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	19,101	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004006/ScoringFiles/PGS004006.txt.gz
PGS004101 (prscs.CV.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	1,109,217	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004101/ScoringFiles/PGS004101.txt.gz
PGS004090 (prscs.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	976,777	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004090/ScoringFiles/PGS004090.txt.gz
PGS004116 (pt_clump.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	58	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004116/ScoringFiles/PGS004116.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
PGS004003 (lassosum.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	4,697		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004003/ScoringFiles/PGS004003.txt.gz
PGS004013 (lassosum.CV.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	22,690		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004013/ScoringFiles/PGS004013.txt.gz
PGS004016 (lassosum.CV.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	88,605	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004016/ScoringFiles/PGS004016.txt.gz
PGS004017 (lassosum.CV.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	88,605		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004017/ScoringFiles/PGS004017.txt.gz
PGS004020 (lassosum.CV.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	6,682		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.txt.gz
PGS004051 (megaprs.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	784,928		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004051/ScoringFiles/PGS004051.txt.gz
PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	869,407		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004053/ScoringFiles/PGS004053.txt.gz
PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	777,255		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004055/ScoringFiles/PGS004055.txt.gz
PGS004057 (megaprs.auto.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	514,367		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004057/ScoringFiles/PGS004057.txt.gz
PGS004091 (prscs.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	976,777		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004091/ScoringFiles/PGS004091.txt.gz
PGS004060 (megaprs.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	677,631	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004060/ScoringFiles/PGS004060.txt.gz
PGS004062 (megaprs.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	691,136	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004062/ScoringFiles/PGS004062.txt.gz
PGS004065 (megaprs.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	980,499	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004065/ScoringFiles/PGS004065.txt.gz
PGS004067 (megaprs.CV.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	784,928		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004067/ScoringFiles/PGS004067.txt.gz
PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	869,407		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004069/ScoringFiles/PGS004069.txt.gz
PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	777,255		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004071/ScoringFiles/PGS004071.txt.gz
PGS004073 (megaprs.CV.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	514,367		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004073/ScoringFiles/PGS004073.txt.gz
PGS004074 (megaprs.CV.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	846,995	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004074/ScoringFiles/PGS004074.txt.gz
PGS004076 (megaprs.CV.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	677,631	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004076/ScoringFiles/PGS004076.txt.gz
PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	1,103,877		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004083/ScoringFiles/PGS004083.txt.gz
PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	1,105,199		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004099/ScoringFiles/PGS004099.txt.gz
PGS004117 (pt_clump.auto.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	131		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.txt.gz
PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	23,190		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004120/ScoringFiles/PGS004120.txt.gz
PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	774		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004121/ScoringFiles/PGS004121.txt.gz
PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	982		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004123/ScoringFiles/PGS004123.txt.gz
PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	765		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004125/ScoringFiles/PGS004125.txt.gz
PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HbA1c	HbA1c measurement	246		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004127/ScoringFiles/PGS004127.txt.gz
PGS004132 (pt_clump_nested.CV.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	354		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.txt.gz
PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	950,524		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004137/ScoringFiles/PGS004137.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
PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	1,139,693		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004155/ScoringFiles/PGS004155.txt.gz
PGS004156 (UKBB_EnsPGS.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	1,138,452		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004156/ScoringFiles/PGS004156.txt.gz
PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	1,135,455	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004158/ScoringFiles/PGS004158.txt.gz
PGS004159 (UKBB_EnsPGS.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	1,141,659		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004159/ScoringFiles/PGS004159.txt.gz
PGS004161 (UKBB_EnsPGS.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	1,005,478		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004161/ScoringFiles/PGS004161.txt.gz
PGS004163 (UKBB_EnsPGS.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	778,275		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004163/ScoringFiles/PGS004163.txt.gz
PGS004058 (megaprs.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	846,995	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004058/ScoringFiles/PGS004058.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
PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Prostate cancer	prostate carcinoma	1,105,199		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004085/ScoringFiles/PGS004085.txt.gz
PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	1,133,268		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004153/ScoringFiles/PGS004153.txt.gz
PGS004110 (pt_clump.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	161		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004110/ScoringFiles/PGS004110.txt.gz
PGS003996 (lassosum.auto.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	16,785		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003996/ScoringFiles/PGS003996.txt.gz
PGS004012 (lassosum.CV.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	437,695		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004012/ScoringFiles/PGS004012.txt.gz
PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	1,039,042		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004150/ScoringFiles/PGS004150.txt.gz
PGS004079 (megaprs.CV.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	402,214		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004079/ScoringFiles/PGS004079.txt.gz
PGS004030 (ldpred2.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	1,050,295	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004030/ScoringFiles/PGS004030.txt.gz
PGS004032 (ldpred2.auto.GCST008972.Gout)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Gout	gout	865,644	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004032/ScoringFiles/PGS004032.txt.gz
PGS004034 (ldpred2.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	1,046,908	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004034/ScoringFiles/PGS004034.txt.gz
PGS004036 (ldpred2.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	929,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004036/ScoringFiles/PGS004036.txt.gz
PGS004084 (prscs.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	1,091,747		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004084/ScoringFiles/PGS004084.txt.gz
PGS004089 (prscs.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	1,109,217		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004089/ScoringFiles/PGS004089.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
PGS004088 (prscs.auto.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	1,109,217	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004088/ScoringFiles/PGS004088.txt.gz
PGS004094 (prscs.auto.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	755,048		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004094/ScoringFiles/PGS004094.txt.gz
PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Breast cancer	breast carcinoma	1,041,298		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004025/ScoringFiles/PGS004025.txt.gz
PGS004028 (ldpred2.auto.GCST007140.HDL)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	HDL cholesterol	high density lipoprotein cholesterol measurement	992,696		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004028/ScoringFiles/PGS004028.txt.gz
PGS004049 (ldpred2.CV.GCST90013534.RA)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Rheumatoid arthritis	rheumatoid arthritis	373,627		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004049/ScoringFiles/PGS004049.txt.gz
PGS004026 (ldpred2.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	1,011,468		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004026/ScoringFiles/PGS004026.txt.gz
PGS003992 (dbslmm.auto.GCST90012877.AD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Alzheimer's disease	Alzheimer disease	1,136,212	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003992/ScoringFiles/PGS003992.txt.gz
PGS004000 (lassosum.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	2,371		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004000/ScoringFiles/PGS004000.txt.gz
PGS004011 (lassosum.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	315,596	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004011/ScoringFiles/PGS004011.txt.gz
PGS004054 (megaprs.auto.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	852,173		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004054/ScoringFiles/PGS004054.txt.gz
PGS004059 (megaprs.auto.GCST008059.eGFR)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	eGFR	glomerular filtration rate	846,995		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004059/ScoringFiles/PGS004059.txt.gz
PGS004061 (megaprs.auto.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	677,631		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004061/ScoringFiles/PGS004061.txt.gz
PGS004066 (megaprs.CV.GCST002783.BMI)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Body mass index (BMI)	body mass index	602,445		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004066/ScoringFiles/PGS004066.txt.gz
PGS004077 (megaprs.CV.GCST008972.Urate)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Urate	urate measurement	677,631		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004077/ScoringFiles/PGS004077.txt.gz
PGS004078 (megaprs.CV.GCST90013445.T1D)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Type 1 diabetes (T1D)	type 1 diabetes mellitus	56,288		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.txt.gz
PGS004081 (prscs.auto.GCST004131.IBD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Inflammatory bowel disease (IBD)	inflammatory bowel disease	1,073,268		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004081/ScoringFiles/PGS004081.txt.gz
PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Chronic kidney disease (CKD)	chronic kidney disease	8,543	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004128/ScoringFiles/PGS004128.txt.gz
PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Stroke	stroke	1,116,976		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004154/ScoringFiles/PGS004154.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	PGS Performance: Other Relevant Information
PPM019425	PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.65454 [1.59239759, 1.71911272] β: 0.50352 [0.4652408, 0.5418083]	AUROC: 0.63947 [0.62889119, 0.65004547]	R²: 0.0555 [0.04797205, 0.06390807]	beta = log(or)/sd_pgs
PPM019426	PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.7112 [1.68318494, 1.73969104] β: 0.5372 [0.5206878, 0.55370753]	AUROC: 0.64797 [0.6435976, 0.65233588]	R²: 0.06177 [0.05792732, 0.06529816]	beta = log(or)/sd_pgs
PPM019912	PGS004018 (lassosum.CV.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.79341 [1.59464255, 2.01695127] β: 0.58412 [0.46664961, 0.7015871]	AUROC: 0.66051 [0.6278375, 0.69318319]	R²: 0.05074 [0.03255269, 0.07435899]	beta = log(or)/sd_pgs
PPM019198	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.21196 [0.19187341, 0.2320428]	—	R²: 0.04493 [0.03681541, 0.05384386]	beta = sd_trait/sd_pgs = pearson correlation
PPM019193	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.20292 [0.18279319, 0.22304137]	—	R²: 0.04118 [0.03341335, 0.04974745]	beta = sd_trait/sd_pgs = pearson correlation
PPM019194	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23169 [0.22532819, 0.23804671]	—	R²: 0.05363 [0.05072909, 0.05661746]	beta = sd_trait/sd_pgs = pearson correlation
PPM019150	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.22681 [0.22242211, 0.23118879]	—	R²: 0.05144 [0.04947159, 0.05344825]	beta = sd_trait/sd_pgs = pearson correlation
PPM019151	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.13234 [0.12167305, 0.14301522]	—	R²: 0.01751 [0.01480433, 0.02045335]	beta = sd_trait/sd_pgs = pearson correlation
PPM019152	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23703 [0.22965904, 0.24440882]	—	R²: 0.05619 [0.05274327, 0.05973567]	beta = sd_trait/sd_pgs = pearson correlation
PPM019153	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.18732 [0.16713032, 0.20750606]	—	R²: 0.03509 [0.02793254, 0.04305877]	beta = sd_trait/sd_pgs = pearson correlation
PPM019154	PGS004120 (pt_clump_nested.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.24564 [0.23930704, 0.25197718]	—	R²: 0.06032 [0.05724885, 0.06347143]	beta = sd_trait/sd_pgs = pearson correlation
PPM019155	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.27279 [0.26845664, 0.27711651]	—	R²: 0.07441 [0.07206897, 0.07679356]	beta = sd_trait/sd_pgs = pearson correlation
PPM019156	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.17614 [0.16554609, 0.186741]	—	R²: 0.03103 [0.02740551, 0.0348722]	beta = sd_trait/sd_pgs = pearson correlation
PPM019157	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28307 [0.27579244, 0.29035391]	—	R²: 0.08013 [0.07606147, 0.08430539]	beta = sd_trait/sd_pgs = pearson correlation
PPM019158	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23025 [0.2102471, 0.25024606]	—	R²: 0.05301 [0.04420384, 0.06262309]	beta = sd_trait/sd_pgs = pearson correlation
PPM019159	PGS004037 (ldpred2.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.29441 [0.28815228, 0.30067312]	—	R²: 0.08628 [0.08264766, 0.08998614]	beta = sd_trait/sd_pgs = pearson correlation
PPM019160	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.13262 [0.12815653, 0.13707827]	—	R²: 0.01759 [0.0164241, 0.01879045]	beta = sd_trait/sd_pgs = pearson correlation
PPM019161	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.13437 [0.12370159, 0.14503789]	—	R²: 0.01806 [0.01530208, 0.02103599]	beta = sd_trait/sd_pgs = pearson correlation
PPM019162	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.13976 [0.13224403, 0.14727748]	—	R²: 0.01953 [0.01748848, 0.02169066]	beta = sd_trait/sd_pgs = pearson correlation
PPM019163	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.13361 [0.11323944, 0.15397423]	—	R²: 0.01785 [0.01282317, 0.02370806]	beta = sd_trait/sd_pgs = pearson correlation
PPM019164	PGS004104 (pt_clump.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.12888 [0.12237833, 0.1353791]	—	R²: 0.01651 [0.01488272, 0.01821279]	beta = sd_trait/sd_pgs = pearson correlation
PPM019165	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28774 [0.2834321, 0.29205267]	—	R²: 0.0828 [0.08033376, 0.08529476]	beta = sd_trait/sd_pgs = pearson correlation
PPM019166	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.21492 [0.20440118, 0.22542961]	—	R²: 0.04619 [0.04177984, 0.05081851]	beta = sd_trait/sd_pgs = pearson correlation
PPM019167	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.2987 [0.29145188, 0.30594123]	—	R²: 0.08922 [0.0849442, 0.09360004]	beta = sd_trait/sd_pgs = pearson correlation
PPM019168	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.25738 [0.23751738, 0.27723596]	—	R²: 0.06624 [0.05641451, 0.07685978]	beta = sd_trait/sd_pgs = pearson correlation
PPM019169	PGS004150 (UKBB_EnsPGS.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.31034 [0.30411171, 0.31656673]	—	R²: 0.09586 [0.09205552, 0.09975027]	beta = sd_trait/sd_pgs = pearson correlation
PPM019170	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.26843 [0.26409874, 0.27276962]	—	R²: 0.07206 [0.06974814, 0.07440327]	beta = sd_trait/sd_pgs = pearson correlation
PPM019171	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.21006 [0.19953717, 0.22058832]	—	R²: 0.04413 [0.03981508, 0.04865921]	beta = sd_trait/sd_pgs = pearson correlation
PPM019172	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28302 [0.27574162, 0.29030332]	—	R²: 0.0801 [0.07603344, 0.08427602]	beta = sd_trait/sd_pgs = pearson correlation
PPM019173	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23645 [0.216484, 0.25642174]	—	R²: 0.05591 [0.04686532, 0.06575211]	beta = sd_trait/sd_pgs = pearson correlation
PPM019174	PGS003980 (dbslmm.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28337 [0.27709575, 0.28965043]	—	R²: 0.08004 [0.0765343, 0.08362665]	beta = sd_trait/sd_pgs = pearson correlation
PPM019175	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23628 [0.23190327, 0.24064966]	—	R²: 0.05583 [0.05377913, 0.05791226]	beta = sd_trait/sd_pgs = pearson correlation
PPM019176	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.18382 [0.17323688, 0.19440155]	—	R²: 0.03379 [0.03001102, 0.03779196]	beta = sd_trait/sd_pgs = pearson correlation
PPM019177	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23811 [0.2307331, 0.2454789]	—	R²: 0.05669 [0.05323776, 0.06025989]	beta = sd_trait/sd_pgs = pearson correlation
PPM019178	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.2074 [0.18730003, 0.22750955]	—	R²: 0.04302 [0.0350813, 0.0517606]	beta = sd_trait/sd_pgs = pearson correlation
PPM019182	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.22725 [0.21985446, 0.23463971]	—	R²: 0.05164 [0.04833598, 0.05505579]	beta = sd_trait/sd_pgs = pearson correlation
PPM019183	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.20804 [0.18794087, 0.22814482]	—	R²: 0.04328 [0.03532177, 0.05205006]	beta = sd_trait/sd_pgs = pearson correlation
PPM019184	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23174 [0.22536146, 0.23811607]	—	R²: 0.05337 [0.05047134, 0.05634598]	beta = sd_trait/sd_pgs = pearson correlation
PPM019185	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.27372 [0.2693923, 0.27804978]	—	R²: 0.07492 [0.07257221, 0.07731168]	beta = sd_trait/sd_pgs = pearson correlation
PPM019186	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.19873 [0.18818337, 0.20928546]	—	R²: 0.0395 [0.03541298, 0.0438004]	beta = sd_trait/sd_pgs = pearson correlation
PPM019187	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28643 [0.27916024, 0.29370656]	—	R²: 0.08204 [0.07793044, 0.08626354]	beta = sd_trait/sd_pgs = pearson correlation
PPM019188	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.24111 [0.22116501, 0.26105567]	—	R²: 0.05813 [0.04891396, 0.06815006]	beta = sd_trait/sd_pgs = pearson correlation
PPM019189	PGS004066 (megaprs.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.29808 [0.29184031, 0.3043238]	—	R²: 0.08873 [0.08505567, 0.09248782]	beta = sd_trait/sd_pgs = pearson correlation
PPM019190	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.22924 [0.2248582, 0.23361975]	—	R²: 0.05255 [0.05056121, 0.05457819]	beta = sd_trait/sd_pgs = pearson correlation
PPM019191	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.19661 [0.18605402, 0.20716533]	—	R²: 0.03866 [0.0346161, 0.04291747]	beta = sd_trait/sd_pgs = pearson correlation
PPM019192	PGS004050 (megaprs.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.236 [0.22862038, 0.243374]	—	R²: 0.05569 [0.05226728, 0.0592309]	beta = sd_trait/sd_pgs = pearson correlation
PPM019195	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.26769 [0.26335586, 0.27202861]	—	R²: 0.07166 [0.06935631, 0.07399956]	beta = sd_trait/sd_pgs = pearson correlation
PPM019196	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.16504 [0.15441873, 0.17565504]	—	R²: 0.02724 [0.02384514, 0.03085469]	beta = sd_trait/sd_pgs = pearson correlation
PPM019197	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.27794 [0.27064679, 0.28523104]	—	R²: 0.07725 [0.07324969, 0.08135675]	beta = sd_trait/sd_pgs = pearson correlation
PPM019199	PGS004096 (prscs.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.29179 [0.2855138, 0.29805786]	—	R²: 0.08459 [0.0809905, 0.08826347]	beta = sd_trait/sd_pgs = pearson correlation
PPM019200	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.26849 [0.26415754, 0.27282828]	—	R²: 0.07209 [0.06977921, 0.07443527]	beta = sd_trait/sd_pgs = pearson correlation
PPM019201	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.20035 [0.18980286, 0.21089786]	—	R²: 0.04014 [0.03602513, 0.04447791]	beta = sd_trait/sd_pgs = pearson correlation
PPM019202	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.27952 [0.27223139, 0.28680867]	—	R²: 0.07813 [0.07410993, 0.08225921]	beta = sd_trait/sd_pgs = pearson correlation
PPM019203	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.23887 [0.21891146, 0.25882491]	—	R²: 0.05706 [0.04792223, 0.06699033]	beta = sd_trait/sd_pgs = pearson correlation
PPM019204	PGS004080 (prscs.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28279 [0.27650197, 0.2890766]	—	R²: 0.07951 [0.07600924, 0.08307987]	beta = sd_trait/sd_pgs = pearson correlation
PPM019205	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.24937 [0.24501056, 0.25372744]	—	R²: 0.06218 [0.06003017, 0.06437762]	beta = sd_trait/sd_pgs = pearson correlation
PPM019206	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.21681 [0.2062981, 0.22731752]	—	R²: 0.04701 [0.04255891, 0.05167326]	beta = sd_trait/sd_pgs = pearson correlation
PPM019207	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.25672 [0.24938567, 0.26405929]	—	R²: 0.06591 [0.06219321, 0.06972731]	beta = sd_trait/sd_pgs = pearson correlation
PPM019208	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.2328 [0.21280855, 0.25278257]	—	R²: 0.05419 [0.04528748, 0.06389903]	beta = sd_trait/sd_pgs = pearson correlation
PPM019209	PGS003996 (lassosum.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.2558 [0.24946557, 0.26212558]	—	R²: 0.06518 [0.0619901, 0.06844156]	beta = sd_trait/sd_pgs = pearson correlation
PPM019210	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.27473 [0.2704039, 0.27905879]	—	R²: 0.07548 [0.07311827, 0.07787381]	beta = sd_trait/sd_pgs = pearson correlation
PPM019211	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.20034 [0.18979579, 0.21089082]	—	R²: 0.04014 [0.03602244, 0.04447494]	beta = sd_trait/sd_pgs = pearson correlation
PPM019212	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011253\| European Ancestry\| 66,663 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.28629 [0.27901425, 0.29356123]	—	R²: 0.08196 [0.07784895, 0.0861782]	beta = sd_trait/sd_pgs = pearson correlation
PPM019213	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011281\| South Asian Ancestry\| 9,097 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.24618 [0.22625822, 0.26609656]	—	R²: 0.0606 [0.05119278, 0.07080738]	beta = sd_trait/sd_pgs = pearson correlation
PPM019214	PGS004012 (lassosum.CV.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.29892 [0.29267634, 0.30517115]	—	R²: 0.08904 [0.08535971, 0.09280356]	beta = sd_trait/sd_pgs = pearson correlation
PPM019215	PGS004038 (ldpred2.CV.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	β: 0.31196 [0.26881857, 0.35510787] OR: 1.3661 [1.30841773, 1.42633451]	AUROC: 0.5841 [0.57134989, 0.59684775]	R²: 0.01522 [0.01107929, 0.02001683]	beta = log(or)/sd_pgs
PPM019216	PGS004038 (ldpred2.CV.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 2.00709 [1.96176588, 2.05345818] β: 0.69669 [0.67384503, 0.71952529]	AUROC: 0.68746 [0.68158682, 0.69333034]	R²: 0.07463 [0.06986494, 0.07986579]	beta = log(or)/sd_pgs
PPM019217	PGS004038 (ldpred2.CV.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.946 [1.77718979, 2.13085165] β: 0.66578 [0.57503335, 0.75652173]	AUROC: 0.68641 [0.66260609, 0.71022055]	R²: 0.06759 [0.05044678, 0.08786643]	beta = log(or)/sd_pgs
PPM019218	PGS004038 (ldpred2.CV.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.55477 [1.48236145, 1.63071918] β: 0.44133 [0.39363639, 0.48902113]	AUROC: 0.61939 [0.60573135, 0.63303932]	R²: 0.03025 [0.02378047, 0.03760108]	beta = log(or)/sd_pgs
PPM019219	PGS004038 (ldpred2.CV.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.71999 [1.47511022, 2.0055147] β: 0.54232 [0.38873271, 0.69590074]	AUROC: 0.6425 [0.59742729, 0.68757268]	R²: 0.0438 [0.02149854, 0.07523503]	beta = log(or)/sd_pgs
PPM019220	PGS004038 (ldpred2.CV.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.96885 [1.86342403, 2.08023967] β: 0.67745 [0.62241567, 0.73248311]	AUROC: 0.68458 [0.67015772, 0.69899497]	R²: 0.07025 [0.05946809, 0.08300365]	beta = log(or)/sd_pgs
PPM019221	PGS004105 (pt_clump.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.24143 [1.1890805, 1.29609272] β: 0.21627 [0.17318032, 0.25935414]	AUROC: 0.5594 [0.54677346, 0.57202583]	R²: 0.00733 [0.00469672, 0.0109081]	beta = log(or)/sd_pgs
PPM019222	PGS004105 (pt_clump.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.63002 [1.5935273, 1.66734777] β: 0.48859 [0.46594999, 0.5112342]	AUROC: 0.63362 [0.62744469, 0.6398007]	R²: 0.03693 [0.03355769, 0.04010996]	beta = log(or)/sd_pgs
PPM019223	PGS004105 (pt_clump.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.40101 [1.27954934, 1.53399308] β: 0.33719 [0.24650793, 0.42787419]	AUROC: 0.59819 [0.57207878, 0.62430301]	R²: 0.01724 [0.00885621, 0.02813182]	beta = log(or)/sd_pgs
PPM019224	PGS004105 (pt_clump.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.35946 [1.29634357, 1.42565477] β: 0.30709 [0.25954766, 0.35463119]	AUROC: 0.58383 [0.57020148, 0.59746167]	R²: 0.01467 [0.01061932, 0.01963868]	beta = log(or)/sd_pgs
PPM019225	PGS004105 (pt_clump.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.34635 [1.1581509, 1.56512439] β: 0.29739 [0.14682468, 0.4479653]	AUROC: 0.58604 [0.54086552, 0.63121275]	R²: 0.01358 [0.00269662, 0.03118075]	beta = log(or)/sd_pgs
PPM019226	PGS004105 (pt_clump.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.59062 [1.50586312, 1.68013891] β: 0.46412 [0.40936624, 0.51887647]	AUROC: 0.63057 [0.61590234, 0.64524535]	R²: 0.03306 [0.02613847, 0.04105459]	beta = log(or)/sd_pgs
PPM019227	PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.27323 [1.21967118, 1.32913813] β: 0.24156 [0.19858129, 0.28453071]	AUROC: 0.56331 [0.55078741, 0.57583681]	R²: 0.00919 [0.00605824, 0.01293261]	beta = log(or)/sd_pgs
PPM019228	PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.74769 [1.7086833, 1.78757882] β: 0.55829 [0.53572307, 0.58086209]	AUROC: 0.65206 [0.64593495, 0.65819504]	R²: 0.0487 [0.0447597, 0.05267419]	beta = log(or)/sd_pgs
PPM019229	PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.51461 [1.38410957, 1.65740608] β: 0.41516 [0.32505702, 0.50525378]	AUROC: 0.61455 [0.58868772, 0.64040227]	R²: 0.02651 [0.01531252, 0.04035993]	beta = log(or)/sd_pgs
PPM019230	PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	β: 0.32913 [0.28177285, 0.37649644] OR: 1.38976 [1.3254776, 1.45717036]	AUROC: 0.59091 [0.57724581, 0.60456431]	R²: 0.017 [0.01225794, 0.02225752]	beta = log(or)/sd_pgs
PPM019231	PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.49325 [1.28229316, 1.73891334] β: 0.40096 [0.24865001, 0.5532604]	AUROC: 0.61834 [0.57623728, 0.66044754]	R²: 0.02428 [0.00997456, 0.04475176]	beta = log(or)/sd_pgs
PPM019232	PGS004121 (pt_clump_nested.CV.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.68525 [1.59605776, 1.77941882] β: 0.52191 [0.46753669, 0.57628681]	AUROC: 0.64794 [0.63308648, 0.66280321]	R²: 0.0425 [0.03444371, 0.05202666]	beta = log(or)/sd_pgs
PPM019233	PGS003981 (dbslmm.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.33244 [1.27636372, 1.39097687] β: 0.28701 [0.24401519, 0.33000628]	AUROC: 0.57783 [0.56512605, 0.59053543]	R²: 0.01296 [0.00925469, 0.01730226]	beta = log(or)/sd_pgs
PPM019234	PGS003981 (dbslmm.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.89729 [1.85459133, 1.94097411] β: 0.64043 [0.61766436, 0.66318997]	AUROC: 0.67371 [0.66774486, 0.67966784]	R²: 0.06325 [0.05894778, 0.06769876]	beta = log(or)/sd_pgs
PPM019235	PGS003981 (dbslmm.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.82983 [1.67934751, 1.99380176] β: 0.60422 [0.51840533, 0.69004325]	AUROC: 0.67951 [0.6554003, 0.70362688]	R²: 0.06185 [0.04504691, 0.07994757]	beta = log(or)/sd_pgs
PPM019236	PGS003981 (dbslmm.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.51174 [1.44162473, 1.58525957] β: 0.41326 [0.36577076, 0.46074816]	AUROC: 0.61196 [0.59842833, 0.62548631]	R²: 0.02672 [0.02061732, 0.03338123]	beta = log(or)/sd_pgs
PPM019237	PGS003981 (dbslmm.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.62008 [1.39671425, 1.87915576] β: 0.48247 [0.33412251, 0.63082261]	AUROC: 0.63378 [0.58989144, 0.67766932]	R²: 0.03702 [0.01608167, 0.06421945]	beta = log(or)/sd_pgs
PPM019238	PGS003981 (dbslmm.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.8704 [1.77207759, 1.97418775] β: 0.62615 [0.57215264, 0.68015705]	AUROC: 0.6725 [0.65793656, 0.68706996]	R²: 0.06214 [0.05189291, 0.07413997]	beta = log(or)/sd_pgs
PPM019239	PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.39728 [1.33826973, 1.45888609] β: 0.33453 [0.29137753, 0.37767319]	AUROC: 0.58969 [0.57697326, 0.60241476]	R²: 0.0175 [0.01329075, 0.02253449]	beta = log(or)/sd_pgs
PPM019240	PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 2.06398 [2.01727273, 2.11177148] β: 0.72464 [0.70174647, 0.74752716]	AUROC: 0.69412 [0.68829262, 0.6999508]	R²: 0.08056 [0.07564214, 0.08580241]	beta = log(or)/sd_pgs
PPM019241	PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.99477 [1.82406428, 2.18144982] β: 0.69053 [0.60106713, 0.77998971]	AUROC: 0.69122 [0.66690515, 0.71553225]	R²: 0.07483 [0.05639993, 0.09713374]	beta = log(or)/sd_pgs
PPM019242	PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.58122 [1.50767489, 1.65835467] β: 0.4582 [0.41056866, 0.50582595]	AUROC: 0.62399 [0.61036586, 0.63760464]	R²: 0.03271 [0.02590824, 0.04030889]	beta = log(or)/sd_pgs
PPM019243	PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.76291 [1.51418004, 2.05249596] β: 0.56697 [0.41487407, 0.7190566]	AUROC: 0.64947 [0.60535278, 0.6935909]	R²: 0.04891 [0.02333466, 0.08167925]	beta = log(or)/sd_pgs
PPM019244	PGS004151 (UKBB_EnsPGS.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 2.04212 [1.93274157, 2.15769853] β: 0.71399 [0.6589395, 0.76904216]	AUROC: 0.69465 [0.68039548, 0.70890783]	R²: 0.07817 [0.06721383, 0.0918883]	beta = log(or)/sd_pgs
PPM019245	PGS004135 (sbayesr.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.33765 [1.28124872, 1.39652797] β: 0.29091 [0.24783517, 0.33398913]	AUROC: 0.57881 [0.56619924, 0.59141916]	R²: 0.01327 [0.00951776, 0.01750544]	beta = log(or)/sd_pgs
PPM019247	PGS004135 (sbayesr.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.8584 [1.69570378, 2.03671362] β: 0.61972 [0.52809786, 0.71133754]	AUROC: 0.67037 [0.64541857, 0.69532926]	R²: 0.05737 [0.04034006, 0.0772097]	beta = log(or)/sd_pgs
PPM019248	PGS004135 (sbayesr.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.53371 [1.46233061, 1.60856652] β: 0.42769 [0.38003147, 0.47534342]	AUROC: 0.61478 [0.60105563, 0.62849573]	R²: 0.02843 [0.02204494, 0.03592548]	beta = log(or)/sd_pgs
PPM019249	PGS004135 (sbayesr.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.68556 [1.44596698, 1.96485528] β: 0.5221 [0.36877829, 0.67541859]	AUROC: 0.64539 [0.6020922, 0.68868922]	R²: 0.04075 [0.01870039, 0.06894677]	beta = log(or)/sd_pgs
PPM019250	PGS004135 (sbayesr.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.91118 [1.80890361, 2.01924795] β: 0.64772 [0.59272092, 0.70272514]	AUROC: 0.67763 [0.6631321, 0.69213434]	R²: 0.06425 [0.05393186, 0.07625535]	beta = log(or)/sd_pgs
PPM019252	PGS004023 (ldpred2.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.98269 [1.93792696, 2.02848131] β: 0.68445 [0.66161882, 0.70728739]	AUROC: 0.68464 [0.67874717, 0.6905373]	R²: 0.072 [0.06730218, 0.0770144]	beta = log(or)/sd_pgs
PPM019253	PGS004023 (ldpred2.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.96487 [1.79443565, 2.15148758] β: 0.67543 [0.58469057, 0.7661595]	AUROC: 0.68609 [0.6621402, 0.71004923]	R²: 0.06963 [0.05194957, 0.09014172]	beta = log(or)/sd_pgs
PPM019254	PGS004023 (ldpred2.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.53961 [1.46795237, 1.61475975] β: 0.43153 [0.38386848, 0.47918619]	AUROC: 0.61629 [0.6026057, 0.62997539]	R²: 0.02895 [0.02234833, 0.03618136]	beta = log(or)/sd_pgs
PPM019255	PGS004023 (ldpred2.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.7204 [1.47508928, 2.00651675] β: 0.54256 [0.38871852, 0.69640026]	AUROC: 0.64259 [0.59747381, 0.68771596]	R²: 0.0437 [0.02067683, 0.073914]	beta = log(or)/sd_pgs
PPM019256	PGS004023 (ldpred2.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.95616 [1.85139121, 2.06685554] β: 0.67098 [0.61593736, 0.72602839]	AUROC: 0.68274 [0.66821232, 0.69727153]	R²: 0.06887 [0.0582775, 0.08158032]	beta = log(or)/sd_pgs
PPM019257	PGS004051 (megaprs.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	β: 0.314 [0.27094623, 0.3570459] OR: 1.36888 [1.31120456, 1.42910147]	AUROC: 0.58489 [0.57210995, 0.59766877]	R²: 0.01549 [0.01126134, 0.02041918]	beta = log(or)/sd_pgs
PPM019258	PGS004051 (megaprs.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 2.00653 [1.96129353, 2.05281389] β: 0.69641 [0.67360422, 0.71921148]	AUROC: 0.6875 [0.68162312, 0.69338152]	R²: 0.07485 [0.07002551, 0.07988684]	beta = log(or)/sd_pgs
PPM019259	PGS004051 (megaprs.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.90388 [1.74000795, 2.08318936] β: 0.64389 [0.55388968, 0.73390007]	AUROC: 0.68195 [0.6575792, 0.70632398]	R²: 0.06418 [0.04826446, 0.08480071]	beta = log(or)/sd_pgs
PPM019260	PGS004051 (megaprs.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.53763 [1.4663408, 1.61237934] β: 0.43024 [0.38277005, 0.47771094]	AUROC: 0.61658 [0.60284816, 0.63032177]	R²: 0.02901 [0.02229249, 0.03588211]	beta = log(or)/sd_pgs
PPM019261	PGS004051 (megaprs.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.63845 [1.40628747, 1.90892925] β: 0.49375 [0.34095323, 0.64654248]	AUROC: 0.63419 [0.59012677, 0.6782445]	R²: 0.03667 [0.01631785, 0.06339845]	beta = log(or)/sd_pgs
PPM019262	PGS004051 (megaprs.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.9624 [1.85716399, 2.07360018] β: 0.67417 [0.61905059, 0.72928631]	AUROC: 0.68392 [0.669613, 0.69822212]	R²: 0.06945 [0.05902191, 0.08200647]	beta = log(or)/sd_pgs
PPM019263	PGS004067 (megaprs.CV.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.38476 [1.32636725, 1.44573387] β: 0.32553 [0.28244381, 0.36861706]	AUROC: 0.58792 [0.57519349, 0.60064532]	R²: 0.01662 [0.01245031, 0.02165909]	beta = log(or)/sd_pgs
PPM019264	PGS004067 (megaprs.CV.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 2.01137 [1.96597864, 2.05780277] β: 0.69881 [0.67599016, 0.72163879]	AUROC: 0.68759 [0.68172593, 0.69345923]	R²: 0.07527 [0.07053194, 0.08027082]	beta = log(or)/sd_pgs
PPM019265	PGS004067 (megaprs.CV.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.90373 [1.73869829, 2.08443466] β: 0.64382 [0.55313673, 0.73449767]	AUROC: 0.6761 [0.65087661, 0.7013209]	R²: 0.06308 [0.04633231, 0.08351713]	beta = log(or)/sd_pgs
PPM019266	PGS004067 (megaprs.CV.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.53272 [1.46162704, 1.60726438] β: 0.42704 [0.37955023, 0.47453359]	AUROC: 0.61571 [0.60206481, 0.62935828]	R²: 0.02855 [0.02210331, 0.03562675]	beta = log(or)/sd_pgs
PPM019267	PGS004067 (megaprs.CV.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.64423 [1.41112598, 1.91585079] β: 0.49727 [0.34438796, 0.6501618]	AUROC: 0.63179 [0.58844221, 0.67513881]	R²: 0.03711 [0.01656446, 0.06453049]	beta = log(or)/sd_pgs
PPM019268	PGS004067 (megaprs.CV.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.9918 [1.88516531, 2.1044766] β: 0.68904 [0.63401552, 0.74406679]	AUROC: 0.68817 [0.673906, 0.70242438]	R²: 0.07284 [0.06218143, 0.08596691]	beta = log(or)/sd_pgs
PPM019269	PGS004097 (prscs.CV.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.33762 [1.28129037, 1.39641733] β: 0.29089 [0.24786767, 0.33390991]	AUROC: 0.57906 [0.5663149, 0.59181474]	R²: 0.0133 [0.00924467, 0.01796079]	beta = log(or)/sd_pgs
PPM019270	PGS004097 (prscs.CV.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.9368 [1.89343656, 1.98116454] β: 0.66104 [0.63839347, 0.68368483]	AUROC: 0.67991 [0.67398453, 0.68582889]	R²: 0.06817 [0.06347957, 0.0729841]	beta = log(or)/sd_pgs
PPM019271	PGS004097 (prscs.CV.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.81277 [1.65895008, 1.98084425] β: 0.59485 [0.50618492, 0.68352314]	AUROC: 0.67352 [0.64927983, 0.69776871]	R²: 0.0563 [0.04082247, 0.07446669]	beta = log(or)/sd_pgs
PPM019272	PGS004097 (prscs.CV.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.53892 [1.4677344, 1.61355637] β: 0.43108 [0.38371999, 0.47844067]	AUROC: 0.61754 [0.60401323, 0.63105699]	R²: 0.02925 [0.02268366, 0.03647445]	beta = log(or)/sd_pgs
PPM019273	PGS004097 (prscs.CV.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.64559 [1.41395937, 1.9151656] β: 0.4981 [0.34639384, 0.6498041]	AUROC: 0.63172 [0.58645333, 0.67699185]	R²: 0.03776 [0.01691585, 0.06820305]	beta = log(or)/sd_pgs
PPM019274	PGS004097 (prscs.CV.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.86814 [1.7690958, 1.97272357] β: 0.62494 [0.57046857, 0.67941511]	AUROC: 0.67174 [0.65719135, 0.68628632]	R²: 0.06087 [0.05110841, 0.07279818]	beta = log(or)/sd_pgs
PPM019275	PGS004081 (prscs.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.33947 [1.28308976, 1.39832777] β: 0.29227 [0.24927105, 0.33527707]	AUROC: 0.58008 [0.56735638, 0.59280726]	R²: 0.01344 [0.00970498, 0.01810135]	beta = log(or)/sd_pgs
PPM019276	PGS004081 (prscs.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.93798 [1.89456032, 1.98240343] β: 0.66165 [0.63898679, 0.68430996]	AUROC: 0.67953 [0.67361679, 0.6854426]	R²: 0.06822 [0.06357639, 0.07320471]	beta = log(or)/sd_pgs
PPM019277	PGS004081 (prscs.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.81701 [1.66277049, 1.98556228] β: 0.59719 [0.50848518, 0.68590214]	AUROC: 0.67259 [0.64830467, 0.69688308]	R²: 0.05668 [0.04059064, 0.07517712]	beta = log(or)/sd_pgs
PPM019278	PGS004081 (prscs.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.52897 [1.45823629, 1.60314492] β: 0.4246 [0.37722769, 0.47196727]	AUROC: 0.61659 [0.60309036, 0.63008776]	R²: 0.02835 [0.02170599, 0.03546033]	beta = log(or)/sd_pgs
PPM019279	PGS004081 (prscs.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.64491 [1.41322114, 1.91457258] β: 0.49768 [0.3458716, 0.6494944]	AUROC: 0.62997 [0.5852728, 0.67466127]	R²: 0.03767 [0.01709617, 0.06692123]	beta = log(or)/sd_pgs
PPM019281	PGS004013 (lassosum.CV.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.37266 [1.31475201, 1.43311018] β: 0.31675 [0.27364806, 0.35984703]	AUROC: 0.58423 [0.57151504, 0.59693644]	R²: 0.01572 [0.01144703, 0.0206319]	beta = log(or)/sd_pgs
PPM019282	PGS004013 (lassosum.CV.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.95504 [1.91104715, 2.00004635] β: 0.67041 [0.64765134, 0.69317036]	AUROC: 0.68013 [0.67419992, 0.68606655]	R²: 0.06951 [0.06473689, 0.07421464]	beta = log(or)/sd_pgs
PPM019283	PGS004013 (lassosum.CV.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.88804 [1.72579599, 2.06553911] β: 0.63554 [0.54568839, 0.72539126]	AUROC: 0.67769 [0.65323253, 0.70214214]	R²: 0.06269 [0.04522405, 0.0823871]	beta = log(or)/sd_pgs
PPM019284	PGS004013 (lassosum.CV.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	β: 0.42927 [0.38184872, 0.47669506] OR: 1.53614 [1.46499045, 1.61074219]	AUROC: 0.61822 [0.60458955, 0.63184308]	R²: 0.02892 [0.02253997, 0.03616631]	beta = log(or)/sd_pgs
PPM019285	PGS004013 (lassosum.CV.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.72939 [1.48187459, 2.01823757] β: 0.54777 [0.3933079, 0.70222464]	AUROC: 0.64845 [0.60401758, 0.69288196]	R²: 0.04418 [0.02133967, 0.07419211]	beta = log(or)/sd_pgs
PPM019286	PGS004013 (lassosum.CV.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.8643 [1.76523033, 1.96893154] β: 0.62289 [0.56828118, 0.67749103]	AUROC: 0.66977 [0.65505775, 0.68448936]	R²: 0.06022 [0.05064197, 0.07255608]	beta = log(or)/sd_pgs
PPM019287	PGS003997 (lassosum.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.35075 [1.2938079, 1.41020626] β: 0.30066 [0.25758973, 0.34373598]	AUROC: 0.57941 [0.5666597, 0.59215135]	R²: 0.01418 [0.01023193, 0.01900507]	beta = log(or)/sd_pgs
PPM019288	PGS003997 (lassosum.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.94603 [1.90231852, 1.99073726] β: 0.66579 [0.64307341, 0.68850505]	AUROC: 0.67873 [0.67277732, 0.68467331]	R²: 0.06881 [0.06412546, 0.07367853]	beta = log(or)/sd_pgs
PPM019289	PGS003997 (lassosum.auto.GCST004131.IBD)	PSS011244\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.83801 [1.67998664, 2.01090769] β: 0.60869 [0.51878584, 0.69858621]	AUROC: 0.66965 [0.64499602, 0.69430838]	R²: 0.05739 [0.04006869, 0.07674132]	beta = log(or)/sd_pgs
PPM019290	PGS003997 (lassosum.auto.GCST004131.IBD)	PSS011260\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.53922 [1.46791286, 1.61399308] β: 0.43128 [0.38384157, 0.47871128]	AUROC: 0.61798 [0.60434303, 0.63161432]	R²: 0.0292 [0.02256932, 0.03644038]	beta = log(or)/sd_pgs
PPM019291	PGS003997 (lassosum.auto.GCST004131.IBD)	PSS011288\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.73594 [1.48902968, 2.02379137] β: 0.55155 [0.39812468, 0.70497267]	AUROC: 0.6478 [0.60413485, 0.69145565]	R²: 0.04539 [0.0233246, 0.07450202]	beta = log(or)/sd_pgs
PPM019292	PGS003997 (lassosum.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.84612 [1.74826591, 1.94945659] β: 0.61309 [0.55862439, 0.66755066]	AUROC: 0.66875 [0.65403523, 0.68346144]	R²: 0.05865 [0.04924178, 0.07070982]	beta = log(or)/sd_pgs
PPM019293	PGS004039 (ldpred2.CV.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	OR: 1.51531 [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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	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]	beta = log(or)/sd_pgs
PPM019365	PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	β: 0.50696 [0.46857737, 0.54535222] OR: 1.66024 [1.59771962, 1.72521592]	AUROC: 0.64155 [0.63100072, 0.65209011]	R²: 0.05592 [0.04878852, 0.06462078]	beta = log(or)/sd_pgs
PPM019366	PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.77072 [1.74154078, 1.80038299] β: 0.57138 [0.55477023, 0.58799941]	AUROC: 0.65624 [0.65188392, 0.66059213]	R²: 0.06923 [0.06509505, 0.07276728]	beta = log(or)/sd_pgs
PPM019367	PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.60503 [1.39429381, 1.84761448] β: 0.47314 [0.33238806, 0.61389534]	AUROC: 0.62871 [0.58989471, 0.66752285]	R²: 0.0394 [0.01850853, 0.06709891]	beta = log(or)/sd_pgs
PPM019368	PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.74575 [1.66147743, 1.8343018] β: 0.55719 [0.50770723, 0.60666392]	AUROC: 0.64976 [0.63666034, 0.66286316]	R²: 0.06621 [0.05482, 0.07762809]	beta = log(or)/sd_pgs
PPM019369	PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.46589 [1.26693944, 1.69608562] β: 0.38246 [0.2366041, 0.52832302]	AUROC: 0.60655 [0.56457528, 0.64853134]	R²: 0.02531 [0.00997384, 0.04844316]	beta = log(or)/sd_pgs
PPM019370	PGS004040 (ldpred2.CV.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.80882 [1.74205374, 1.87814873] β: 0.59268 [0.55506473, 0.63028658]	AUROC: 0.65979 [0.65003927, 0.66954015]	R²: 0.07392 [0.06512011, 0.08357077]	beta = log(or)/sd_pgs
PPM019371	PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.50345 [1.44736806, 1.56169867] β: 0.40776 [0.36974678, 0.44577412]	AUROC: 0.61483 [0.6041949, 0.62546154]	R²: 0.03687 [0.03036813, 0.04440322]	beta = log(or)/sd_pgs
PPM019372	PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.5159 [1.49147674, 1.54071414] β: 0.41601 [0.39976673, 0.43224604]	AUROC: 0.61664 [0.61218514, 0.62110289]	R²: 0.03779 [0.03485119, 0.0407422]	beta = log(or)/sd_pgs
PPM019373	PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.41368 [1.22998344, 1.62480429] β: 0.34619 [0.20700071, 0.48538737]	AUROC: 0.59685 [0.55878634, 0.63490483]	R²: 0.02157 [0.0084806, 0.0408865]	beta = log(or)/sd_pgs
PPM019374	PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.51726 [1.4458611, 1.59218042] β: 0.4169 [0.36870506, 0.46510441]	AUROC: 0.61419 [0.60043482, 0.62795106]	R²: 0.03874 [0.02972293, 0.04762759]	beta = log(or)/sd_pgs
PPM019375	PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.36644 [1.18199147, 1.57966055] β: 0.31221 [0.1672007, 0.45720998]	AUROC: 0.58936 [0.54856639, 0.63014506]	R²: 0.01701 [0.00515533, 0.0361295]	beta = log(or)/sd_pgs
PPM019376	PGS004107 (pt_clump.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.52553 [1.47054481, 1.58257468] β: 0.42234 [0.38563295, 0.45905307]	AUROC: 0.61809 [0.60795567, 0.62822808]	R²: 0.03875 [0.03244269, 0.04550058]	beta = log(or)/sd_pgs
PPM019377	PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.51371 [1.45690938, 1.57273254] β: 0.41457 [0.37631733, 0.45281458]	AUROC: 0.61677 [0.60614744, 0.62739669]	R²: 0.03765 [0.03122797, 0.04458387]	beta = log(or)/sd_pgs
PPM019378	PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.57309 [1.54753963, 1.59906233] β: 0.45304 [0.43666633, 0.46941741]	AUROC: 0.62593 [0.62148932, 0.63037613]	R²: 0.04421 [0.04108768, 0.04733518]	beta = log(or)/sd_pgs
PPM019379	PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.48885 [1.29381926, 1.7132878] β: 0.39801 [0.25759851, 0.53841421]	AUROC: 0.61392 [0.57666682, 0.65116657]	R²: 0.02805 [0.01127913, 0.04970286]	beta = log(or)/sd_pgs
PPM019380	PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.54351 [1.46962869, 1.62111114] β: 0.43406 [0.38500977, 0.4831118]	AUROC: 0.61643 [0.60273161, 0.63013007]	R²: 0.04054 [0.03169724, 0.04959805]	beta = log(or)/sd_pgs
PPM019381	PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	β: 0.30458 [0.1594086, 0.44974616] OR: 1.35605 [1.17281707, 1.56791414]	AUROC: 0.58631 [0.54480747, 0.62781198]	R²: 0.01615 [0.00465348, 0.03568609]	beta = log(or)/sd_pgs
PPM019382	PGS004123 (pt_clump_nested.CV.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.58738 [1.52948202, 1.64746461] β: 0.46208 [0.42492913, 0.49923751]	AUROC: 0.62786 [0.61789935, 0.63782848]	R²: 0.04538 [0.0390985, 0.05265595]	beta = log(or)/sd_pgs
PPM019383	PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.68728 [1.62374245, 1.75330376] β: 0.52312 [0.48473364, 0.56150187]	AUROC: 0.64492 [0.63436542, 0.65546756]	R²: 0.05957 [0.05207671, 0.0683119]	beta = log(or)/sd_pgs
PPM019384	PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.79574 [1.76611997, 1.82586546] β: 0.58542 [0.56878504, 0.6020541]	AUROC: 0.66012 [0.65578171, 0.66445565]	R²: 0.07267 [0.06845349, 0.07630969]	beta = log(or)/sd_pgs
PPM019385	PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.65971 [1.44271166, 1.90933646] β: 0.50664 [0.36652444, 0.64675578]	AUROC: 0.64011 [0.60165094, 0.67856339]	R²: 0.0456 [0.02415111, 0.07590576]	beta = log(or)/sd_pgs
PPM019386	PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.77954 [1.69371921, 1.86971028] β: 0.57636 [0.52692683, 0.62578349]	AUROC: 0.65472 [0.6415564, 0.66787483]	R²: 0.07113 [0.05912593, 0.08267581]	beta = log(or)/sd_pgs
PPM019387	PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.54652 [1.33583678, 1.79042912] β: 0.43601 [0.28955789, 0.58245532]	AUROC: 0.61895 [0.57716253, 0.6607321]	R²: 0.03271 [0.01452627, 0.05810203]	beta = log(or)/sd_pgs
PPM019388	PGS004153 (UKBB_EnsPGS.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.82572 [1.75833364, 1.89568002] β: 0.60197 [0.56436656, 0.63957762]	AUROC: 0.6625 [0.65279453, 0.67221102]	R²: 0.0764 [0.06786928, 0.08556093]	beta = log(or)/sd_pgs
PPM019389	PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.60508 [1.54448557, 1.66804298] β: 0.47317 [0.43469089, 0.51165107]	AUROC: 0.63154 [0.6209314, 0.6421403]	R²: 0.04847 [0.04130408, 0.05684615]	beta = log(or)/sd_pgs
PPM019390	PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.71525 [1.68709681, 1.74386827] β: 0.53956 [0.52300919, 0.55610579]	AUROC: 0.64804 [0.64364562, 0.65244004]	R²: 0.06199 [0.05814535, 0.06545043]	beta = log(or)/sd_pgs
PPM019391	PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.53934 [1.33718466, 1.77206857] β: 0.43136 [0.2905664, 0.57214755]	AUROC: 0.61683 [0.57775913, 0.65589892]	R²: 0.03275 [0.01407293, 0.05769946]	beta = log(or)/sd_pgs
PPM019392	PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	β: 0.53147 [0.48220528, 0.58073623] OR: 1.70143 [1.61964223, 1.78735386]	AUROC: 0.64271 [0.62948583, 0.65593293]	R²: 0.06062 [0.04977566, 0.07136047]	beta = log(or)/sd_pgs
PPM019394	PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.75801 [1.6931535, 1.82535722] β: 0.56418 [0.52659276, 0.6017757]	AUROC: 0.65329 [0.64349623, 0.66307795]	R²: 0.06676 [0.05869412, 0.07488231]	beta = log(or)/sd_pgs
PPM019395	PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.59437 [1.53276253, 1.65844649] β: 0.46648 [0.42707168, 0.50588132]	AUROC: 0.62805 [0.61730846, 0.63879374]	R²: 0.04474 [0.03764085, 0.05255667]	beta = log(or)/sd_pgs
PPM019396	PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.66993 [1.64183933, 1.69850558] β: 0.51278 [0.49581716, 0.52974879]	AUROC: 0.63827 [0.63378595, 0.64274622]	R²: 0.05278 [0.04931446, 0.05616794]	beta = log(or)/sd_pgs
PPM019397	PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.51618 [1.31170795, 1.75251743] β: 0.41619 [0.27133007, 0.56105328]	AUROC: 0.61353 [0.5733705, 0.65369542]	R²: 0.02871 [0.01250794, 0.05342829]	beta = log(or)/sd_pgs
PPM019398	PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.73541 [1.65197692, 1.82304779] β: 0.55124 [0.5019727, 0.60050971]	AUROC: 0.65009 [0.63697565, 0.66320694]	R²: 0.06532 [0.05353864, 0.07670765]	beta = log(or)/sd_pgs
PPM019399	PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.41849 [1.2278941, 1.63866418] β: 0.34959 [0.20530059, 0.49388139]	AUROC: 0.60107 [0.56006001, 0.6420884]	R²: 0.02154 [0.00783799, 0.0429191]	beta = log(or)/sd_pgs
PPM019400	PGS004137 (sbayesr.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.75895 [1.69468766, 1.82564559] β: 0.56472 [0.52749845, 0.60193367]	AUROC: 0.65397 [0.64416994, 0.6637611]	R²: 0.06832 [0.06011876, 0.07710225]	beta = log(or)/sd_pgs
PPM019401	PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.66191 [1.59929671, 1.72697924] β: 0.50797 [0.46956397, 0.54637378]	AUROC: 0.64171 [0.63118121, 0.65224553]	R²: 0.05608 [0.04909415, 0.06472665]	beta = log(or)/sd_pgs
PPM019402	PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.77035 [1.74117276, 1.80002055] β: 0.57118 [0.55455889, 0.58779808]	AUROC: 0.65593 [0.65157997, 0.66028305]	R²: 0.06913 [0.06491623, 0.07286341]	beta = log(or)/sd_pgs
PPM019403	PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.61352 [1.40208165, 1.85683331] β: 0.47842 [0.33795803, 0.61887252]	AUROC: 0.63169 [0.59299282, 0.67038513]	R²: 0.04043 [0.01973305, 0.06848248]	beta = log(or)/sd_pgs
PPM019404	PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.74007 [1.65600677, 1.82841046] β: 0.55393 [0.50440914, 0.60344699]	AUROC: 0.64863 [0.63550699, 0.66174475]	R²: 0.06532 [0.05411845, 0.07675006]	beta = log(or)/sd_pgs
PPM019405	PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.44836 [1.25210644, 1.67537516] β: 0.37043 [0.22482729, 0.51603712]	AUROC: 0.60329 [0.56051089, 0.64607018]	R²: 0.02382 [0.00880191, 0.04697128]	beta = log(or)/sd_pgs
PPM019406	PGS004025 (ldpred2.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.80647 [1.73980278, 1.87569651] β: 0.59138 [0.55377176, 0.62898006]	AUROC: 0.65976 [0.65001199, 0.66950573]	R²: 0.07359 [0.06487413, 0.08290854]	beta = log(or)/sd_pgs
PPM019407	PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.64103 [1.57912878, 1.70535148] β: 0.49532 [0.45687329, 0.53377123]	AUROC: 0.63737 [0.62675736, 0.64797822]	R²: 0.0532 [0.04622562, 0.06191163]	beta = log(or)/sd_pgs
PPM019408	PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.7432 [1.71450629, 1.77238361] β: 0.55573 [0.53912516, 0.57232531]	AUROC: 0.65242 [0.6480568, 0.65678307]	R²: 0.06545 [0.06174367, 0.06888215]	beta = log(or)/sd_pgs
PPM019409	PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.56536 [1.35914439, 1.80285464] β: 0.44811 [0.30685538, 0.58937132]	AUROC: 0.62314 [0.58448319, 0.66179346]	R²: 0.03515 [0.01639285, 0.06168013]	beta = log(or)/sd_pgs
PPM019410	PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.72445 [1.64139537, 1.81169954] β: 0.54491 [0.49554672, 0.59426538]	AUROC: 0.64679 [0.63364992, 0.65993923]	R²: 0.06355 [0.05288965, 0.07449614]	beta = log(or)/sd_pgs
PPM019411	PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.51041 [1.305849, 1.74702266] β: 0.41238 [0.2668534, 0.557913]	AUROC: 0.61087 [0.57033984, 0.65140365]	R²: 0.02956 [0.01317004, 0.05393655]	beta = log(or)/sd_pgs
PPM019412	PGS004069 (megaprs.CV.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.78417 [1.71851145, 1.85232925] β: 0.57895 [0.54145848, 0.6164439]	AUROC: 0.65585 [0.64609462, 0.66560523]	R²: 0.07087 [0.06226027, 0.0800237]	beta = log(or)/sd_pgs
PPM019413	PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.61464 [1.55394223, 1.67770259] β: 0.47911 [0.44079507, 0.51742535]	AUROC: 0.6334 [0.62282373, 0.64397359]	R²: 0.05009 [0.04317505, 0.05809181]	beta = log(or)/sd_pgs
PPM019414	PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.72899 [1.70061022, 1.75784976] β: 0.54754 [0.53098714, 0.56409133]	AUROC: 0.64996 [0.64560075, 0.65432486]	R²: 0.06387 [0.05988493, 0.0675063]	beta = log(or)/sd_pgs
PPM019415	PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.58283 [1.37520299, 1.8218099] β: 0.45922 [0.31860135, 0.59983046]	AUROC: 0.62693 [0.58820997, 0.66564469]	R²: 0.03717 [0.01784551, 0.06382176]	beta = log(or)/sd_pgs
PPM019416	PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.7155 [1.6331199, 1.80203152] β: 0.5397 [0.49049223, 0.58891465]	AUROC: 0.64563 [0.63247965, 0.65878399]	R²: 0.06273 [0.05191156, 0.07305575]	beta = log(or)/sd_pgs
PPM019417	PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.42423 [1.23268451, 1.64552911] β: 0.35363 [0.20919432, 0.49806198]	AUROC: 0.59717 [0.55485917, 0.63948019]	R²: 0.02202 [0.00748612, 0.04464707]	beta = log(or)/sd_pgs
PPM019418	PGS004053 (megaprs.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.75979 [1.69513119, 1.82691975] β: 0.5652 [0.52776014, 0.60263135]	AUROC: 0.65299 [0.64321086, 0.66276462]	R²: 0.06765 [0.05919841, 0.07667134]	beta = log(or)/sd_pgs
PPM019419	PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PSS011215\| European Ancestry\| 130,758 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	β: 0.48736 [0.44905474, 0.52567252] OR: 1.62802 [1.56683043, 1.69159609]	AUROC: 0.63532 [0.62467241, 0.64596639]	R²: 0.05189 [0.04462939, 0.06050746]	beta = log(or)/sd_pgs
PPM019420	PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PSS011227\| European Ancestry\| 217,530 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.73797 [1.70945914, 1.76696055] β: 0.55272 [0.53617703, 0.56926087]	AUROC: 0.65207 [0.64770258, 0.65644351]	R²: 0.06524 [0.06134318, 0.06889406]	beta = log(or)/sd_pgs
PPM019421	PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.57454 [1.3683506, 1.81179039] β: 0.45396 [0.31360607, 0.59431552]	AUROC: 0.62734 [0.58839198, 0.66629096]	R²: 0.0365 [0.01640351, 0.06192232]	beta = log(or)/sd_pgs
PPM019422	PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.72094 [1.6384216, 1.80760485] β: 0.54287 [0.49373334, 0.59200268]	AUROC: 0.64671 [0.63347915, 0.65993367]	R²: 0.06366 [0.05229169, 0.07516806]	beta = log(or)/sd_pgs
PPM019423	PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.51133 [1.30438605, 1.7511135] β: 0.41299 [0.26573247, 0.56025187]	AUROC: 0.61379 [0.57261519, 0.65495499]	R²: 0.029 [0.01275949, 0.05212183]	beta = log(or)/sd_pgs
PPM019424	PGS004083 (prscs.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.77492 [1.70965861, 1.84266319] β: 0.57375 [0.5362937, 0.61121191]	AUROC: 0.65535 [0.64554283, 0.66515647]	R²: 0.06966 [0.06127445, 0.07856851]	beta = log(or)/sd_pgs
PPM019427	PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PSS011238\| South Asian Ancestry\| 24,319 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.60371 [1.39434739, 1.84450091] β: 0.47232 [0.33242648, 0.61220873]	AUROC: 0.63037 [0.59126423, 0.66947401]	R²: 0.03979 [0.01942893, 0.06698512]	beta = log(or)/sd_pgs
PPM019428	PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PSS011254\| European Ancestry\| 35,377 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.71179 [1.62971047, 1.79800083] β: 0.53754 [0.48840237, 0.5866754]	AUROC: 0.64444 [0.6312226, 0.65766239]	R²: 0.06247 [0.05174001, 0.07360675]	beta = log(or)/sd_pgs
PPM019429	PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.48538 [1.28422223, 1.71804972] β: 0.39567 [0.25015327, 0.54118977]	AUROC: 0.60906 [0.56630285, 0.65182352]	R²: 0.02726 [0.01122822, 0.05190103]	beta = log(or)/sd_pgs
PPM019430	PGS003999 (lassosum.auto.GCST004988.Breast_cancer)	PSS011268\| European Ancestry\| 48,968 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.75341 [1.6889839, 1.82030397] β: 0.56157 [0.52412711, 0.5990035]	AUROC: 0.6524 [0.64250552, 0.66229219]	R²: 0.06677 [0.05835915, 0.07564263]	beta = log(or)/sd_pgs
PPM019431	PGS004041 (ldpred2.CV.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.11588 [1.08343617, 1.14930168] β: 0.10965 [0.08013763, 0.13915452]	AUROC: 0.5311 [0.52258315, 0.53960799]	R²: 0.00249 [0.00124561, 0.00391129]	beta = log(or)/sd_pgs
PPM019432	PGS004041 (ldpred2.CV.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.16332 [1.14877996, 1.17804017] β: 0.15128 [0.13870048, 0.16385218]	AUROC: 0.54311 [0.53949521, 0.54672704]	R²: 0.00473 [0.00398409, 0.00555064]	beta = log(or)/sd_pgs
PPM019433	PGS004041 (ldpred2.CV.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.1116 [1.01001276, 1.22340576] β: 0.1058 [0.00996296, 0.20163858]	AUROC: 0.53257 [0.50585239, 0.55929704]	R²: 0.00172 [0.0000423, 0.00562594]	beta = log(or)/sd_pgs
PPM019434	PGS004041 (ldpred2.CV.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.13921 [1.10739553, 1.17193764] β: 0.13033 [0.10201089, 0.15865848]	AUROC: 0.53729 [0.52919837, 0.54537871]	R²: 0.00351 [0.002153, 0.00526917]	beta = log(or)/sd_pgs
PPM019435	PGS004041 (ldpred2.CV.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.21092 [1.05660791, 1.38776963] β: 0.19138 [0.05506369, 0.32769787]	AUROC: 0.5645 [0.52632653, 0.60268065]	R²: 0.00568 [0.000437, 0.01665509]	beta = log(or)/sd_pgs
PPM019436	PGS004041 (ldpred2.CV.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.20936 [1.15728071, 1.26378987] β: 0.19009 [0.14607304, 0.23411504]	AUROC: 0.55309 [0.54044775, 0.56573307]	R²: 0.00745 [0.00442536, 0.01118625]	beta = log(or)/sd_pgs
PPM019437	PGS004108 (pt_clump.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.08291 [1.0515096, 1.11523886] β: 0.07965 [0.05022684, 0.10906861]	AUROC: 0.52243 [0.51400537, 0.53085786]	R²: 0.00132 [0.000512, 0.0024261]	beta = log(or)/sd_pgs
PPM019438	PGS004108 (pt_clump.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.06579 [1.05251543, 1.07923704] β: 0.06372 [0.05118295, 0.07625435]	AUROC: 0.51814 [0.51449934, 0.52177675]	R²: 0.00084 [0.000519, 0.00120992]	beta = log(or)/sd_pgs
PPM019439	PGS004108 (pt_clump.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 0.97393 [0.88492665, 1.07188237] β: -0.02642 [-0.1222505, 0.06941632]	AUROC: 0.51051 [0.4829624, 0.53805337]	R²: 0.00011 [0.0, 0.00229604]	beta = log(or)/sd_pgs
PPM019440	PGS004108 (pt_clump.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.06709 [1.03737253, 1.09765048] β: 0.06493 [0.0366911, 0.09317197]	AUROC: 0.5176 [0.50942967, 0.5257663]	R²: 0.00088 [0.00027871, 0.00193499]	beta = log(or)/sd_pgs
PPM019441	PGS004108 (pt_clump.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 0.99729 [0.87003302, 1.1431701] β: -0.00271 [-0.1392241, 0.13380519]	AUROC: 0.49948 [0.4589389, 0.54002276]	R²: 1.14e-06 [0.0, 0.00307562]	beta = log(or)/sd_pgs
PPM019442	PGS004108 (pt_clump.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.08405 [1.03738951, 1.13280412] β: 0.0807 [0.03670747, 0.12469608]	AUROC: 0.52424 [0.51165085, 0.53683071]	R²: 0.00134 [0.0003, 0.00302841]	beta = log(or)/sd_pgs
PPM019443	PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.06894 [1.03785867, 1.10095983] β: 0.06667 [0.03715962, 0.09618237]	AUROC: 0.51987 [0.51135121, 0.52838787]	R²: 0.00092 [0.00032, 0.00188246]	beta = log(or)/sd_pgs
PPM019444	PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10078 [1.08703793, 1.11469876] β: 0.09602 [0.0834565, 0.1085842]	AUROC: 0.527 [0.52339166, 0.53061368]	R²: 0.00191 [0.00143669, 0.00245807]	beta = log(or)/sd_pgs
PPM019445	PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12773 [1.02478049, 1.24102559] β: 0.12021 [0.02447843, 0.21593812]	AUROC: 0.53267 [0.5056658, 0.55967946]	R²: 0.00223 [0.00015, 0.00674387]	beta = log(or)/sd_pgs
PPM019446	PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	β: 0.1023 [0.07398085, 0.13062111] OR: 1.10772 [1.07678618, 1.13953594]	AUROC: 0.52919 [0.52105192, 0.53732734]	R²: 0.00216 [0.00113918, 0.003649]	beta = log(or)/sd_pgs
PPM019447	PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.14403 [0.99833483, 1.31097774] β: 0.13455 [-0.0016666, 0.27077322]	AUROC: 0.54498 [0.50570189, 0.58425451]	R²: 0.00281 [0.0, 0.01104227]	beta = log(or)/sd_pgs
PPM019448	PGS004124 (pt_clump_nested.CV.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.13266 [1.08394966, 1.18356209] β: 0.12457 [0.08061146, 0.16852861]	AUROC: 0.53537 [0.52278904, 0.54795879]	R²: 0.00321 [0.00129459, 0.00578736]	beta = log(or)/sd_pgs
PPM019449	PGS003984 (dbslmm.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12083 [1.08824491, 1.15438327] β: 0.11407 [0.08456622, 0.14356623]	AUROC: 0.53316 [0.52473906, 0.54158598]	R²: 0.00269 [0.00138125, 0.00425231]	beta = log(or)/sd_pgs
PPM019450	PGS003984 (dbslmm.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.15341 [1.13900681, 1.16800282] β: 0.14273 [0.13015666, 0.1552953]	AUROC: 0.54057 [0.53695, 0.54418221]	R²: 0.00422 [0.00347622, 0.00499623]	beta = log(or)/sd_pgs
PPM019451	PGS003984 (dbslmm.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.09189 [0.99222365, 1.20156871] β: 0.08791 [-0.0078067, 0.18362796]	AUROC: 0.52519 [0.49747233, 0.55290272]	R²: 0.00119 [0.0, 0.00512013]	beta = log(or)/sd_pgs
PPM019452	PGS003984 (dbslmm.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12141 [1.09009411, 1.15362816] β: 0.11459 [0.08626403, 0.1429119]	AUROC: 0.53176 [0.52370534, 0.53981953]	R²: 0.00271 [0.00155187, 0.00420533]	beta = log(or)/sd_pgs
PPM019453	PGS003984 (dbslmm.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.18126 [1.0309514, 1.3534912] β: 0.16658 [0.03048206, 0.30268733]	AUROC: 0.54628 [0.50596882, 0.58659045]	R²: 0.00432 [0.0000589, 0.0151188]	beta = log(or)/sd_pgs
PPM019454	PGS003984 (dbslmm.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.20912 [1.15705376, 1.26353856] β: 0.1899 [0.14587692, 0.23391617]	AUROC: 0.55395 [0.54139946, 0.56649182]	R²: 0.00744 [0.00445914, 0.01137928]	beta = log(or)/sd_pgs
PPM019455	PGS004138 (sbayesr.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.08855 [1.05690373, 1.12115148] β: 0.08485 [0.05534362, 0.11435627]	AUROC: 0.52349 [0.51495565, 0.53202719]	R²: 0.00149 [0.000605, 0.00274949]	beta = log(or)/sd_pgs
PPM019456	PGS004138 (sbayesr.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.14381 [1.12951156, 1.15828947] β: 0.13436 [0.1217853, 0.14694432]	AUROC: 0.53828 [0.53466313, 0.5419004]	R²: 0.00373 [0.00305951, 0.00454449]	beta = log(or)/sd_pgs
PPM019457	PGS004138 (sbayesr.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.09703 [0.99682003, 1.20732376] β: 0.09261 [-0.003185, 0.18840614]	AUROC: 0.5291 [0.50288518, 0.55530775]	R²: 0.00132 [0.00000145, 0.00481747]	beta = log(or)/sd_pgs
PPM019458	PGS004138 (sbayesr.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.09561 [1.06503669, 1.12705809] β: 0.09131 [0.06300925, 0.11961078]	AUROC: 0.52636 [0.518281, 0.53443847]	R²: 0.00173 [0.000859, 0.0029266]	beta = log(or)/sd_pgs
PPM019459	PGS004138 (sbayesr.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.15035 [1.00389913, 1.31816921] β: 0.14007 [0.00389155, 0.27624381]	AUROC: 0.546 [0.50679306, 0.5852031]	R²: 0.00305 [0.00000558, 0.0114294]	beta = log(or)/sd_pgs
PPM019460	PGS004138 (sbayesr.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.20185 [1.1499474, 1.25608606] β: 0.18386 [0.1397162, 0.22800058]	AUROC: 0.55073 [0.53804918, 0.56340897]	R²: 0.00693 [0.00408496, 0.01084329]	beta = log(or)/sd_pgs
PPM019927	PGS004146 (sbayesr.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.79245 [1.71513669, 1.87323956] β: 0.58358 [0.53949278, 0.62766932]	AUROC: 0.67094 [0.65667793, 0.68519515]	R²: 0.06987 [0.05877563, 0.08216167]	beta = log(or)/sd_pgs
PPM019462	PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.17327 [1.15860257, 1.18812042] β: 0.15979 [0.1472146, 0.17237258]	AUROC: 0.54565 [0.54203694, 0.54925403]	R²: 0.00528 [0.00445693, 0.00618855]	beta = log(or)/sd_pgs
PPM019463	PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.08287 [0.98396133, 1.19171469] β: 0.07961 [-0.0161687, 0.17539318]	AUROC: 0.52297 [0.49629776, 0.54965208]	R²: 0.00098 [0.0, 0.00425361]	beta = log(or)/sd_pgs
PPM019464	PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.14197 [1.11007941, 1.17478122] β: 0.13276 [0.10443155, 0.16108194]	AUROC: 0.53789 [0.52982296, 0.5459495]	R²: 0.00364 [0.00225276, 0.00536145]	beta = log(or)/sd_pgs
PPM019466	PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.23115 [1.17806817, 1.28661969] β: 0.20795 [0.16387596, 0.25201838]	AUROC: 0.55734 [0.54468967, 0.56999809]	R²: 0.0089 [0.00560709, 0.01298353]	beta = log(or)/sd_pgs
PPM019467	PGS004026 (ldpred2.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10756 [1.07535568, 1.14073718] β: 0.10216 [0.07265147, 0.13167471]	AUROC: 0.5292 [0.52067772, 0.53772878]	R²: 0.00216 [0.00102377, 0.00349455]	beta = log(or)/sd_pgs
PPM019468	PGS004026 (ldpred2.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.16199 [1.1474617, 1.17669591] β: 0.15013 [0.13755229, 0.16271043]	AUROC: 0.5426 [0.53897714, 0.5462198]	R²: 0.00466 [0.00392453, 0.00548885]	beta = log(or)/sd_pgs
PPM019469	PGS004026 (ldpred2.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.13492 [1.03111003, 1.24918283] β: 0.12656 [0.03063592, 0.2224896]	AUROC: 0.53686 [0.51016061, 0.56355653]	R²: 0.00246 [0.000238, 0.00707626]	beta = log(or)/sd_pgs
PPM019470	PGS004026 (ldpred2.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.1247 [1.09330509, 1.15699978] β: 0.11752 [0.08920531, 0.14583026]	AUROC: 0.53363 [0.52552193, 0.54173886]	R²: 0.00286 [0.00168306, 0.0043577]	beta = log(or)/sd_pgs
PPM019471	PGS004026 (ldpred2.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.23606 [1.07905703, 1.41590013] β: 0.21193 [0.07608754, 0.34776547]	AUROC: 0.56859 [0.52989812, 0.60728942]	R²: 0.00702 [0.000879, 0.01908019]	beta = log(or)/sd_pgs
PPM019472	PGS004026 (ldpred2.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.21946 [1.16691439, 1.27436893] β: 0.19841 [0.154363, 0.2424511]	AUROC: 0.55462 [0.54203646, 0.56719931]	R²: 0.00811 [0.00490666, 0.01217568]	beta = log(or)/sd_pgs
PPM019473	PGS004054 (megaprs.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	β: 0.11337 [0.0838625, 0.14287805] OR: 1.12005 [1.08747936, 1.15358912]	AUROC: 0.53265 [0.52410638, 0.54119598]	R²: 0.00266 [0.00137051, 0.00420657]	beta = log(or)/sd_pgs
PPM019474	PGS004054 (megaprs.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.16971 [1.15508988, 1.18450788] β: 0.15675 [0.14417816, 0.16932739]	AUROC: 0.54467 [0.54105858, 0.54827219]	R²: 0.00508 [0.00428569, 0.00597661]	beta = log(or)/sd_pgs
PPM019475	PGS004054 (megaprs.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.09218 [0.99244315, 1.20193532] β: 0.08817 [-0.0075855, 0.18393302]	AUROC: 0.52469 [0.49822599, 0.55115016]	R²: 0.0012 [0.0, 0.00477209]	beta = log(or)/sd_pgs
PPM019476	PGS004054 (megaprs.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.1469 [1.11485209, 1.17987041] β: 0.13706 [0.10872174, 0.16540461]	AUROC: 0.53902 [0.53097366, 0.54705807]	R²: 0.00388 [0.00235764, 0.00565486]	beta = log(or)/sd_pgs
PPM019477	PGS004054 (megaprs.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.23492 [1.07805871, 1.41460106] β: 0.211 [0.07516194, 0.34684756]	AUROC: 0.56842 [0.52959783, 0.60723511]	R²: 0.00696 [0.000789, 0.01932319]	beta = log(or)/sd_pgs
PPM019478	PGS004054 (megaprs.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.21483 [1.16243507, 1.26958012] β: 0.1946 [0.15051701, 0.23868624]	AUROC: 0.55421 [0.54154316, 0.56688511]	R²: 0.00779 [0.00457599, 0.01180516]	beta = log(or)/sd_pgs
PPM019479	PGS004070 (megaprs.CV.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12262 [1.08997461, 1.15624017] β: 0.11566 [0.0861544, 0.1451735]	AUROC: 0.53342 [0.52488642, 0.54195793]	R²: 0.00277 [0.00147025, 0.00431716]	beta = log(or)/sd_pgs
PPM019480	PGS004070 (megaprs.CV.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.17236 [1.15771305, 1.18719934] β: 0.15902 [0.14644655, 0.17159704]	AUROC: 0.54524 [0.54162844, 0.54884559]	R²: 0.00523 [0.00440696, 0.00610806]	beta = log(or)/sd_pgs
PPM019481	PGS004070 (megaprs.CV.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.09524 [0.99518242, 1.20534758] β: 0.09097 [-0.0048292, 0.18676797]	AUROC: 0.52535 [0.49869346, 0.55200012]	R²: 0.00128 [0.00000209, 0.00487633]	beta = log(or)/sd_pgs
PPM019482	PGS004070 (megaprs.CV.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.14508 [1.11308982, 1.17799207] β: 0.13548 [0.10713977, 0.16381135]	AUROC: 0.53866 [0.53061568, 0.54669435]	R²: 0.00379 [0.00230863, 0.00554488]	beta = log(or)/sd_pgs
PPM019483	PGS004070 (megaprs.CV.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.24252 [1.08479041, 1.42318679] β: 0.21714 [0.08138679, 0.35289857]	AUROC: 0.56986 [0.53098801, 0.60872389]	R²: 0.00738 [0.000997, 0.02006623]	beta = log(or)/sd_pgs
PPM019484	PGS004070 (megaprs.CV.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.22477 [1.1719543, 1.27996152] β: 0.20275 [0.1586727, 0.24683001]	AUROC: 0.55628 [0.54365516, 0.56889903]	R²: 0.00845 [0.0051498, 0.01257724]	beta = log(or)/sd_pgs
PPM019485	PGS004098 (prscs.CV.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10211 [1.07007216, 1.13510722] β: 0.09723 [0.06772609, 0.12672711]	AUROC: 0.52781 [0.51930204, 0.53632099]	R²: 0.00196 [0.00095, 0.00333554]	beta = log(or)/sd_pgs
PPM019486	PGS004098 (prscs.CV.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.15335 [1.13893748, 1.16794189] β: 0.14267 [0.1300958, 0.15524313]	AUROC: 0.54022 [0.53659848, 0.54383588]	R²: 0.00421 [0.00351947, 0.00498262]	beta = log(or)/sd_pgs
PPM019487	PGS004098 (prscs.CV.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.14227 [1.03770693, 1.25736482] β: 0.13302 [0.03701341, 0.22901812]	AUROC: 0.54029 [0.51369443, 0.56688289]	R²: 0.00272 [0.000301, 0.00753558]	beta = log(or)/sd_pgs
PPM019488	PGS004098 (prscs.CV.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.11617 [1.08500902, 1.14821592] β: 0.1099 [0.0815883, 0.13820937]	AUROC: 0.53213 [0.52404907, 0.54020559]	R²: 0.0025 [0.00141635, 0.00391061]	beta = log(or)/sd_pgs
PPM019489	PGS004098 (prscs.CV.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.23173 [1.07615164, 1.40980329] β: 0.20842 [0.07339138, 0.34345019]	AUROC: 0.56612 [0.52672065, 0.60551542]	R²: 0.00686 [0.000655, 0.01792159]	beta = log(or)/sd_pgs
PPM019490	PGS004098 (prscs.CV.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.19231 [1.14094472, 1.24597857] β: 0.17589 [0.13185662, 0.21992122]	AUROC: 0.54928 [0.53668704, 0.56187681]	R²: 0.00637 [0.00353314, 0.00992459]	beta = log(or)/sd_pgs
PPM019491	PGS004084 (prscs.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10161 [1.06958778, 1.13458485] β: 0.09677 [0.06727333, 0.12626681]	AUROC: 0.52784 [0.51933058, 0.53634845]	R²: 0.00194 [0.000893, 0.00326912]	beta = log(or)/sd_pgs
PPM019492	PGS004084 (prscs.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.15354 [1.13912614, 1.16813032] β: 0.14283 [0.13026142, 0.15540445]	AUROC: 0.54048 [0.53685753, 0.54410481]	R²: 0.00422 [0.0034919, 0.00502618]	beta = log(or)/sd_pgs
PPM019493	PGS004084 (prscs.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.1249 [1.02197512, 1.23819444] β: 0.1177 [0.02173715, 0.21365422]	AUROC: 0.5344 [0.5074307, 0.56137249]	R²: 0.00213 [0.000118, 0.00670413]	beta = log(or)/sd_pgs
PPM019494	PGS004084 (prscs.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10581 [1.0749525, 1.13755428] β: 0.10058 [0.07227647, 0.12888059]	AUROC: 0.52957 [0.52148152, 0.53766659]	R²: 0.00209 [0.00111885, 0.00347131]	beta = log(or)/sd_pgs
PPM019495	PGS004084 (prscs.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.23758 [1.08131404, 1.41642239] β: 0.21316 [0.078177, 0.34813425]	AUROC: 0.56725 [0.52859169, 0.60591655]	R²: 0.00718 [0.000735, 0.0191671]	beta = log(or)/sd_pgs
PPM019496	PGS004084 (prscs.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.20497 [1.15317504, 1.25910106] β: 0.18646 [0.14251904, 0.23039802]	AUROC: 0.55291 [0.54034145, 0.56548567]	R²: 0.00719 [0.00426528, 0.01097952]	beta = log(or)/sd_pgs
PPM019497	PGS004000 (lassosum.auto.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.09992 [1.06793864, 1.13285627] β: 0.09524 [0.06573028, 0.12474211]	AUROC: 0.52666 [0.51816735, 0.53515816]	R²: 0.00188 [0.000883, 0.00325281]	beta = log(or)/sd_pgs
PPM019499	PGS004000 (lassosum.auto.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.03582 [0.94136503, 1.13975765] β: 0.0352 [-0.0604243, 0.13081565]	AUROC: 0.50962 [0.48298884, 0.53625086]	R²: 0.00019 [0.0, 0.00223248]	beta = log(or)/sd_pgs
PPM019500	PGS004000 (lassosum.auto.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	β: 0.11869 [0.09034983, 0.14703744] OR: 1.12602 [1.09455712, 1.15839733]	AUROC: 0.53372 [0.52560348, 0.541837]	R²: 0.00291 [0.00175846, 0.00438719]	beta = log(or)/sd_pgs
PPM019501	PGS004000 (lassosum.auto.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.05895 [0.92378141, 1.21390666] β: 0.05728 [-0.0792798, 0.1938438]	AUROC: 0.51989 [0.48202597, 0.55775222]	R²: 0.00051 [0.0, 0.00614416]	beta = log(or)/sd_pgs
PPM019502	PGS004000 (lassosum.auto.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12993 [1.08122629, 1.18082159] β: 0.12215 [0.07809585, 0.16621046]	AUROC: 0.53743 [0.52459314, 0.55027481]	R²: 0.00307 [0.00128569, 0.00553223]	beta = log(or)/sd_pgs
PPM019503	PGS004015 (lassosum.CV.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10789 [1.07566831, 1.14107726] β: 0.10246 [0.07294215, 0.13197278]	AUROC: 0.52857 [0.52001445, 0.53712397]	R²: 0.00217 [0.00104555, 0.00351577]	beta = log(or)/sd_pgs
PPM019504	PGS004015 (lassosum.CV.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.14267 [1.12839302, 1.15713496] β: 0.13337 [0.12079452, 0.14594709]	AUROC: 0.53782 [0.53420355, 0.54143959]	R²: 0.00368 [0.00303669, 0.00446067]	beta = log(or)/sd_pgs
PPM019505	PGS004015 (lassosum.CV.GCST005838.Stroke)	PSS011247\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.10577 [1.00477493, 1.21692241] β: 0.10054 [0.00476357, 0.19632506]	AUROC: 0.53471 [0.50835875, 0.56105638]	R²: 0.00156 [0.0000331, 0.00511287]	beta = log(or)/sd_pgs
PPM019506	PGS004015 (lassosum.CV.GCST005838.Stroke)	PSS011263\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12027 [1.08897574, 1.15246834] β: 0.11357 [0.08523757, 0.14190602]	AUROC: 0.5326 [0.52447165, 0.54073587]	R²: 0.00266 [0.00147464, 0.00427621]	beta = log(or)/sd_pgs
PPM019507	PGS004015 (lassosum.CV.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.18187 [1.03090876, 1.35493138] β: 0.1671 [0.0304407, 0.30375081]	AUROC: 0.55554 [0.51834024, 0.59273181]	R²: 0.00431 [0.000121, 0.01349001]	beta = log(or)/sd_pgs
PPM019508	PGS004015 (lassosum.CV.GCST005838.Stroke)	PSS011276\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.17792 [1.12708219, 1.2310461] β: 0.16375 [0.11963216, 0.2078643]	AUROC: 0.5452 [0.53247659, 0.557919]	R²: 0.00551 [0.00285031, 0.0090806]	beta = log(or)/sd_pgs
PPM019509	PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.84253 [1.76511474, 1.9233483] β: 0.61114 [0.5682157, 0.65406757]	AUROC: 0.66712 [0.65580582, 0.67842704]	R²: 0.08368 [0.07334262, 0.09443435]	beta = log(or)/sd_pgs
PPM019510	PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.11238 [2.07329005, 2.15220653] β: 0.74782 [0.72913674, 0.76649361]	AUROC: 0.69944 [0.69492796, 0.7039464]	R²: 0.12024 [0.1150319, 0.12575818]	beta = log(or)/sd_pgs
PPM019511	PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.18207 [1.79180061, 2.65733751] β: 0.78027 [0.58322104, 0.97732469]	AUROC: 0.71782 [0.66712303, 0.76852111]	R²: 0.09364 [0.05088803, 0.14629713]	beta = log(or)/sd_pgs
PPM019512	PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.93239 [1.8472515, 2.02145706] β: 0.65876 [0.61369886, 0.70381857]	AUROC: 0.67779 [0.66648658, 0.68909316]	R²: 0.0943 [0.0823039, 0.10674354]	beta = log(or)/sd_pgs
PPM019513	PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.29829 [1.90607316, 2.77121128] β: 0.83216 [0.64504519, 1.01928451]	AUROC: 0.727 [0.68076039, 0.77324327]	R²: 0.10782 [0.06568955, 0.16319521]	beta = log(or)/sd_pgs
PPM019514	PGS004042 (ldpred2.CV.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.05028 [1.96459765, 2.13969686] β: 0.71798 [0.67528746, 0.76066416]	AUROC: 0.69166 [0.68106518, 0.70224548]	R²: 0.11435 [0.10241705, 0.12708645]	beta = log(or)/sd_pgs
PPM019515	PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.59583 [1.52885526, 1.6657401] β: 0.46739 [0.42451926, 0.51026953]	AUROC: 0.62793 [0.61636768, 0.63949484]	R²: 0.04886 [0.0404352, 0.05732086]	beta = log(or)/sd_pgs
PPM019516	PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.7257 [1.69478953, 1.7571791] β: 0.54563 [0.52755856, 0.56370974]	AUROC: 0.65061 [0.64587451, 0.65533965]	R²: 0.06617 [0.06206093, 0.07052172]	beta = log(or)/sd_pgs
PPM019517	PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.56915 [1.28114247, 1.92191081] β: 0.45054 [0.24775224, 0.65331991]	AUROC: 0.63143 [0.57812692, 0.68474053]	R²: 0.02944 [0.00956735, 0.06119207]	beta = log(or)/sd_pgs
PPM019518	PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.64521 [1.57424498, 1.71937474] β: 0.49787 [0.45377578, 0.5419607]	AUROC: 0.637 [0.62528706, 0.64870674]	R²: 0.0552 [0.04605743, 0.06529161]	beta = log(or)/sd_pgs
PPM019519	PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	β: 0.65945 [0.46590265, 0.85299521] OR: 1.93373 [1.59345187, 2.34666509]	AUROC: 0.67403 [0.62336814, 0.72468515]	R²: 0.06214 [0.02869604, 0.10462456]	beta = log(or)/sd_pgs
PPM019520	PGS004109 (pt_clump.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.75123 [1.67930969, 1.8262382] β: 0.56032 [0.51838281, 0.60225822]	AUROC: 0.65399 [0.64288674, 0.66509836]	R²: 0.0708 [0.06025191, 0.08141476]	beta = log(or)/sd_pgs
PPM019521	PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.65268 [1.5832893, 1.72511914] β: 0.5024 [0.45950452, 0.54529611]	AUROC: 0.63839 [0.62689394, 0.64987964]	R²: 0.05647 [0.04798058, 0.06559575]	beta = log(or)/sd_pgs
PPM019522	PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.82864 [1.7955911, 1.86229749] β: 0.60357 [0.58533427, 0.62181093]	AUROC: 0.6649 [0.66024355, 0.66955943]	R²: 0.08013 [0.07594604, 0.0849066]	beta = log(or)/sd_pgs
PPM019523	PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.6915 [1.38133728, 2.07131408] β: 0.52562 [0.32305207, 0.72818323]	AUROC: 0.63946 [0.58058365, 0.69834094]	R²: 0.04017 [0.01277226, 0.08063675]	beta = log(or)/sd_pgs
PPM019524	PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.73299 [1.65753964, 1.81186867] β: 0.54985 [0.50533436, 0.59435873]	AUROC: 0.65124 [0.6397176, 0.66276176]	R²: 0.06647 [0.05674221, 0.07746767]	beta = log(or)/sd_pgs
PPM019928	PGS004034 (ldpred2.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.45859 [1.35624817, 1.56865365] β: 0.37747 [0.30472219, 0.4502177]	AUROC: 0.60532 [0.5803355, 0.63030351]	R²: 0.02833 [0.01664267, 0.04228284]	beta = log(or)/sd_pgs
PPM019526	PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.81235 [1.73744769, 1.89047452] β: 0.59462 [0.55241719, 0.63682787]	AUROC: 0.66197 [0.65090246, 0.67303245]	R²: 0.07892 [0.06819253, 0.09030102]	beta = log(or)/sd_pgs
PPM019527	PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	β: 0.56562 [0.52256591, 0.60866794] OR: 1.76053 [1.68634913, 1.83798146]	AUROC: 0.6534 [0.64200647, 0.66479563]	R²: 0.07116 [0.06149625, 0.08112238]	beta = log(or)/sd_pgs
PPM019528	PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.01802 [1.98114399, 2.05558361] β: 0.70212 [0.68367445, 0.7205598]	AUROC: 0.68946 [0.68491786, 0.69400552]	R²: 0.10789 [0.10250031, 0.11315488]	beta = log(or)/sd_pgs
PPM019529	PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.88516 [1.54774056, 2.2961445] β: 0.63401 [0.43679617, 0.83123141]	AUROC: 0.67831 [0.62440187, 0.7322239]	R²: 0.06162 [0.02782852, 0.10948346]	beta = log(or)/sd_pgs
PPM019530	PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.83859 [1.75834334, 1.92250764] β: 0.609 [0.56437208, 0.6536304]	AUROC: 0.66728 [0.656, 0.67855695]	R²: 0.08166 [0.07064743, 0.09305334]	beta = log(or)/sd_pgs
PPM019531	PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.1788 [1.80797703, 2.62568559] β: 0.77878 [0.59220855, 0.96534204]	AUROC: 0.71889 [0.66993694, 0.76784283]	R²: 0.09456 [0.05453021, 0.14785044]	beta = log(or)/sd_pgs
PPM019532	PGS003985 (dbslmm.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.93585 [1.85556023, 2.01960741] β: 0.66054 [0.61818666, 0.70290314]	AUROC: 0.67753 [0.66663702, 0.68842668]	R²: 0.09742 [0.0854653, 0.10979243]	beta = log(or)/sd_pgs
PPM019533	PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.88737 [1.80789009, 1.97034824] β: 0.63519 [0.59216047, 0.6782103]	AUROC: 0.6718 [0.66057034, 0.68302823]	R²: 0.09007 [0.07870731, 0.10123858]	beta = log(or)/sd_pgs
PPM019534	PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.16613 [2.12587867, 2.20714003] β: 0.77294 [0.75418521, 0.79169757]	AUROC: 0.70492 [0.70043717, 0.70939503]	R²: 0.12803 [0.12275071, 0.13385339]	beta = log(or)/sd_pgs
PPM019535	PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.17738 [1.78364146, 2.65802706] β: 0.77812 [0.57865704, 0.97758414]	AUROC: 0.71302 [0.66145726, 0.76459247]	R²: 0.09073 [0.04829108, 0.14750786]	beta = log(or)/sd_pgs
PPM019536	PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.96184 [1.87524209, 2.05242919] β: 0.67388 [0.62873777, 0.71902406]	AUROC: 0.68192 [0.67063949, 0.69320216]	R²: 0.09847 [0.08648881, 0.11141801]	beta = log(or)/sd_pgs
PPM019537	PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.33409 [1.93362624, 2.81750157] β: 0.84762 [0.65939712, 1.03585052]	AUROC: 0.73073 [0.68290478, 0.77855694]	R²: 0.11103 [0.06711153, 0.17090094]	beta = log(or)/sd_pgs
PPM019539	PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.83755 [1.76079665, 1.91764763] β: 0.60843 [0.56576635, 0.65109924]	AUROC: 0.66652 [0.65523959, 0.67779057]	R²: 0.08398 [0.07344274, 0.09506364]	beta = log(or)/sd_pgs
PPM019540	PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.10912 [2.07031069, 2.14865068] β: 0.74627 [0.72769869, 0.76484005]	AUROC: 0.70032 [0.69582741, 0.70480679]	R²: 0.12127 [0.11622782, 0.12684792]	beta = log(or)/sd_pgs
PPM019541	PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.09532 [1.71819723, 2.55521892] β: 0.73971 [0.54127562, 0.9381379]	AUROC: 0.70813 [0.65766064, 0.75860174]	R²: 0.08266 [0.04385125, 0.13403974]	beta = log(or)/sd_pgs
PPM019542	PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.94637 [1.86071817, 2.03596439] β: 0.66597 [0.62096253, 0.71096961]	AUROC: 0.68099 [0.66968894, 0.69228485]	R²: 0.09676 [0.08473465, 0.10933361]	beta = log(or)/sd_pgs
PPM019543	PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.33868 [1.93329423, 2.82907628] β: 0.84959 [0.65922541, 1.03995025]	AUROC: 0.72874 [0.68089354, 0.77659441]	R²: 0.10918 [0.06519807, 0.16739921]	beta = log(or)/sd_pgs
PPM019544	PGS004139 (sbayesr.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.05644 [1.97084383, 2.14575861] β: 0.72098 [0.67846179, 0.76349315]	AUROC: 0.6931 [0.68251948, 0.70367807]	R²: 0.1164 [0.10387553, 0.12958633]	beta = log(or)/sd_pgs
PPM019545	PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.82561 [1.74872905, 1.90587328] β: 0.60191 [0.55888927, 0.64494032]	AUROC: 0.66494 [0.65364949, 0.67623003]	R²: 0.08081 [0.07028398, 0.09106408]	beta = log(or)/sd_pgs
PPM019546	PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.07696 [2.03866736, 2.11597128] β: 0.73091 [0.71229634, 0.74951394]	AUROC: 0.69616 [0.69165306, 0.70066719]	R²: 0.11538 [0.11020074, 0.12097632]	beta = log(or)/sd_pgs
PPM019547	PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.12005 [1.73909535, 2.58444454] β: 0.75144 [0.55336506, 0.94951061]	AUROC: 0.70701 [0.65372607, 0.76030223]	R²: 0.08588 [0.04466036, 0.13831751]	beta = log(or)/sd_pgs
PPM019548	PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.93632 [1.85068513, 2.0259163] β: 0.66079 [0.61555591, 0.70602209]	AUROC: 0.67844 [0.66710517, 0.68977315]	R²: 0.09414 [0.08297157, 0.10691432]	beta = log(or)/sd_pgs
PPM019549	PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.34953 [1.93904652, 2.84689917] β: 0.85421 [0.66219637, 1.04623039]	AUROC: 0.72497 [0.67810544, 0.77184412]	R²: 0.10858 [0.06368116, 0.1638136]	beta = log(or)/sd_pgs
PPM019550	PGS004027 (ldpred2.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.03998 [1.95464119, 2.1290527] β: 0.71294 [0.67020664, 0.75567714]	AUROC: 0.69081 [0.68023489, 0.70138671]	R²: 0.11235 [0.100658, 0.12536432]	beta = log(or)/sd_pgs
PPM019551	PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.85969 [1.78202022, 1.94075024] β: 0.62041 [0.57774767, 0.66307462]	AUROC: 0.66695 [0.65563544, 0.67826496]	R²: 0.08735 [0.07633175, 0.0992353]	beta = log(or)/sd_pgs
PPM019552	PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.07288 [2.03493661, 2.11152358] β: 0.72894 [0.71046467, 0.74740976]	AUROC: 0.69577 [0.69123757, 0.70029742]	R²: 0.11667 [0.11154524, 0.12247006]	beta = log(or)/sd_pgs
PPM019553	PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.03055 [1.66481796, 2.4766266] β: 0.70831 [0.50971579, 0.90689739]	AUROC: 0.69826 [0.64746513, 0.7490511]	R²: 0.07586 [0.03742202, 0.12418827]	beta = log(or)/sd_pgs
PPM019554	PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	β: 0.64165 [0.59666245, 0.68664195] OR: 1.89962 [1.81604752, 1.98703176]	AUROC: 0.67416 [0.66287108, 0.68544793]	R²: 0.08958 [0.07836312, 0.10195549]	beta = log(or)/sd_pgs
PPM019555	PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.24918 [1.87123091, 2.70346002] β: 0.81056 [0.62659645, 0.99453244]	AUROC: 0.71358 [0.66350006, 0.76366431]	R²: 0.10571 [0.05891518, 0.1658404]	beta = log(or)/sd_pgs
PPM019556	PGS004071 (megaprs.CV.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.99361 [1.91126828, 2.07950655] β: 0.68995 [0.64776704, 0.73213063]	AUROC: 0.68577 [0.6750112, 0.69652488]	R²: 0.10775 [0.0952096, 0.12071823]	beta = log(or)/sd_pgs
PPM019557	PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.85139 [1.77385839, 1.93231376] β: 0.61594 [0.57315705, 0.65871813]	AUROC: 0.66576 [0.65440883, 0.6771033]	R²: 0.0856 [0.07431455, 0.09691892]	beta = log(or)/sd_pgs
PPM019558	PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.08323 [2.04484796, 2.12232796] β: 0.73392 [0.71532344, 0.75251358]	AUROC: 0.69557 [0.69102783, 0.70012184]	R²: 0.11662 [0.11151327, 0.1224519]	beta = log(or)/sd_pgs
PPM019559	PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.14725 [1.76035627, 2.61917044] β: 0.76419 [0.56551621, 0.96285764]	AUROC: 0.71264 [0.66340362, 0.76188569]	R²: 0.08821 [0.04783816, 0.13908427]	beta = log(or)/sd_pgs
PPM019560	PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.88479 [1.80187082, 1.97153535] β: 0.63382 [0.58882547, 0.67881261]	AUROC: 0.67112 [0.65977263, 0.68247009]	R²: 0.08725 [0.07619297, 0.09947738]	beta = log(or)/sd_pgs
PPM019561	PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.22812 [1.85142042, 2.6814579] β: 0.80116 [0.61595314, 0.98636064]	AUROC: 0.71617 [0.66691669, 0.76542647]	R²: 0.10162 [0.06080214, 0.16049942]	beta = log(or)/sd_pgs
PPM019562	PGS004055 (megaprs.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.98362 [1.9013261, 2.06946831] β: 0.68492 [0.64255159, 0.72729172]	AUROC: 0.68358 [0.67275618, 0.69440469]	R²: 0.10516 [0.09308417, 0.11828841]	beta = log(or)/sd_pgs
PPM019563	PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.79229 [1.71735502, 1.87049062] β: 0.58349 [0.54078533, 0.62620076]	AUROC: 0.65988 [0.64852879, 0.6712255]	R²: 0.07703 [0.06661609, 0.0880941]	beta = log(or)/sd_pgs
PPM019564	PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.0553 [2.01766754, 2.09363347] β: 0.72042 [0.70194216, 0.73890106]	AUROC: 0.69363 [0.68909737, 0.69815964]	R²: 0.11358 [0.10818829, 0.11891045]	beta = log(or)/sd_pgs
PPM019566	PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.88631 [1.80402119, 1.97234441] β: 0.63462 [0.59001817, 0.67922289]	AUROC: 0.67266 [0.66141319, 0.68391119]	R²: 0.08914 [0.07744616, 0.10184036]	beta = log(or)/sd_pgs
PPM019567	PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.13119 [1.7764108, 2.5568319] β: 0.75668 [0.57459492, 0.93876895]	AUROC: 0.7097 [0.66045876, 0.75894676]	R²: 0.09337 [0.05345622, 0.14637157]	beta = log(or)/sd_pgs
PPM019568	PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.97586 [1.89392638, 2.06134031] β: 0.681 [0.63865212, 0.72335641]	AUROC: 0.68272 [0.67193914, 0.69350427]	R²: 0.10396 [0.09215189, 0.11637443]	beta = log(or)/sd_pgs
PPM019569	PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.80595 [1.73048314, 1.8847033] β: 0.59109 [0.54840064, 0.63377041]	AUROC: 0.6624 [0.65109537, 0.67370194]	R²: 0.07916 [0.06887128, 0.08999476]	beta = log(or)/sd_pgs
PPM019570	PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.05454 [2.01691586, 2.09287461] β: 0.72005 [0.70156954, 0.73853853]	AUROC: 0.69351 [0.6889787, 0.69804346]	R²: 0.11337 [0.10797044, 0.11887705]	beta = log(or)/sd_pgs
PPM019571	PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.12708 [1.74969815, 2.58584538] β: 0.75475 [0.55944329, 0.95005249]	AUROC: 0.70896 [0.65720843, 0.76072108]	R²: 0.08902 [0.04599459, 0.13892936]	beta = log(or)/sd_pgs
PPM019572	PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.87036 [1.78869769, 1.9557568] β: 0.62613 [0.58148781, 0.67077723]	AUROC: 0.6708 [0.65946402, 0.6821401]	R²: 0.08647 [0.07503424, 0.09847291]	beta = log(or)/sd_pgs
PPM019573	PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.10264 [1.75170999, 2.52386924] β: 0.74319 [0.56059245, 0.92579314]	AUROC: 0.70361 [0.65513648, 0.75208618]	R²: 0.08919 [0.05003056, 0.14377367]	beta = log(or)/sd_pgs
PPM019574	PGS004085 (prscs.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.9751 [1.89295623, 2.06080819] β: 0.68062 [0.63813975, 0.72309823]	AUROC: 0.68255 [0.67175657, 0.6933417]	R²: 0.10323 [0.09195074, 0.11628312]	beta = log(or)/sd_pgs
PPM019575	PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PSS011221\| European Ancestry\| 68,516 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.81364 [1.73722963, 1.89340697] β: 0.59533 [0.55229168, 0.63837784]	AUROC: 0.66161 [0.65023058, 0.67297992]	R²: 0.07893 [0.06883311, 0.08997126]	beta = log(or)/sd_pgs
PPM019576	PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PSS011232\| European Ancestry\| 171,474 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.03616 [1.99874966, 2.07426625] β: 0.71106 [0.69252182, 0.72960748]	AUROC: 0.69043 [0.68586972, 0.69498057]	R²: 0.10955 [0.10434197, 0.1151718]	beta = log(or)/sd_pgs
PPM019577	PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.06139 [1.6897379, 2.51479538] β: 0.72338 [0.52457343, 0.92219144]	AUROC: 0.70213 [0.64836545, 0.75589427]	R²: 0.07903 [0.03979759, 0.13138207]	beta = log(or)/sd_pgs
PPM019578	PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PSS011261\| European Ancestry\| 31,410 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.87698 [1.79440804, 1.96335592] β: 0.62967 [0.58467519, 0.67465521]	AUROC: 0.67189 [0.6605923, 0.68317852]	R²: 0.08601 [0.07524584, 0.09784449]	beta = log(or)/sd_pgs
PPM019579	PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.36011 [1.94792322, 2.85952474] β: 0.85871 [0.66676379, 1.05065544]	AUROC: 0.73225 [0.68819317, 0.7763138]	R²: 0.1098 [0.06700924, 0.16296955]	beta = log(or)/sd_pgs
PPM019580	PGS004001 (lassosum.auto.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 1.94974 [1.86869624, 2.03429921] β: 0.6677 [0.62524099, 0.71015139]	AUROC: 0.67897 [0.6680745, 0.68985602]	R²: 0.09923 [0.08824506, 0.11201856]	beta = log(or)/sd_pgs
PPM019581	PGS004043 (ldpred2.CV.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.26872 [0.25042101, 0.28702527]	—	R²: 0.07221 [0.06271068, 0.0823835]	beta = sd_trait/sd_pgs = pearson correlation
PPM019583	PGS004043 (ldpred2.CV.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.33678 [0.32851409, 0.34504992]	—	R²: 0.11342 [0.10792151, 0.11905945]	beta = sd_trait/sd_pgs = pearson correlation
PPM019584	PGS004043 (ldpred2.CV.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.29518 [0.27432433, 0.31603374]	—	R²: 0.08713 [0.07525384, 0.09987733]	beta = sd_trait/sd_pgs = pearson correlation
PPM019585	PGS004043 (ldpred2.CV.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.32507 [0.31849197, 0.33164283]	—	R²: 0.10648 [0.10221894, 0.11083467]	beta = sd_trait/sd_pgs = pearson correlation
PPM019586	PGS004110 (pt_clump.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.19456 [0.17591835, 0.21319426]	—	R²: 0.03785 [0.03094727, 0.04545179]	beta = sd_trait/sd_pgs = pearson correlation
PPM019587	PGS004110 (pt_clump.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.26354 [0.25255154, 0.27452058]	—	R²: 0.06945 [0.06378228, 0.07536155]	beta = sd_trait/sd_pgs = pearson correlation
PPM019588	PGS004110 (pt_clump.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.24443 [0.2359114, 0.25294046]	—	R²: 0.05974 [0.05565419, 0.06397887]	beta = sd_trait/sd_pgs = pearson correlation
PPM019589	PGS004110 (pt_clump.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.21783 [0.19652673, 0.23913302]	—	R²: 0.04745 [0.03862276, 0.0571846]	beta = sd_trait/sd_pgs = pearson correlation
PPM019590	PGS004110 (pt_clump.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.22784 [0.22104064, 0.23464207]	—	R²: 0.05189 [0.04883975, 0.05503525]	beta = sd_trait/sd_pgs = pearson correlation
PPM019591	PGS004126 (pt_clump_nested.CV.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.20542 [0.18681969, 0.22401137]	—	R²: 0.0422 [0.0349016, 0.05018109]	beta = sd_trait/sd_pgs = pearson correlation
PPM019592	PGS004126 (pt_clump_nested.CV.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.26646 [0.25548665, 0.27743738]	—	R²: 0.071 [0.06527343, 0.0769715]	beta = sd_trait/sd_pgs = pearson correlation
PPM019593	PGS004126 (pt_clump_nested.CV.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.25473 [0.24623963, 0.26322204]	—	R²: 0.06489 [0.06063396, 0.06928584]	beta = sd_trait/sd_pgs = pearson correlation
PPM019594	PGS004126 (pt_clump_nested.CV.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.22475 [0.20348197, 0.2460197]	—	R²: 0.05051 [0.04140491, 0.06052569]	beta = sd_trait/sd_pgs = pearson correlation
PPM019596	PGS003986 (dbslmm.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.25416 [0.23578552, 0.27253966]	—	R²: 0.0646 [0.05559481, 0.07427787]	beta = sd_trait/sd_pgs = pearson correlation
PPM019597	PGS003986 (dbslmm.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.32356 [0.31278511, 0.33433416]	—	R²: 0.10469 [0.09783453, 0.11177933]	beta = sd_trait/sd_pgs = pearson correlation
PPM019598	PGS003986 (dbslmm.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.33276 [0.32448074, 0.34104166]	—	R²: 0.11073 [0.10528775, 0.11630941]	beta = sd_trait/sd_pgs = pearson correlation
PPM019599	PGS003986 (dbslmm.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.28776 [0.26685099, 0.30865915]	—	R²: 0.0828 [0.07120945, 0.09527047]	beta = sd_trait/sd_pgs = pearson correlation
PPM019600	PGS003986 (dbslmm.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.3104 [0.30377634, 0.31701712]	—	R²: 0.09681 [0.09272556, 0.10098503]	beta = sd_trait/sd_pgs = pearson correlation
PPM019601	PGS004156 (UKBB_EnsPGS.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.28413 [0.26590711, 0.30234301]	—	R²: 0.08073 [0.07070659, 0.0914113]	beta = sd_trait/sd_pgs = pearson correlation
PPM019602	PGS004156 (UKBB_EnsPGS.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.34723 [0.33655016, 0.35790728]	—	R²: 0.12057 [0.11326601, 0.12809762]	beta = sd_trait/sd_pgs = pearson correlation
PPM019603	PGS004156 (UKBB_EnsPGS.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.35432 [0.34611008, 0.36253248]	—	R²: 0.12554 [0.11979219, 0.1314298]	beta = sd_trait/sd_pgs = pearson correlation
PPM019604	PGS004156 (UKBB_EnsPGS.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.30961 [0.2888563, 0.33036583]	—	R²: 0.09586 [0.08343796, 0.10914158]	beta = sd_trait/sd_pgs = pearson correlation
PPM019605	PGS004156 (UKBB_EnsPGS.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.34098 [0.3344376, 0.34752119]	—	R²: 0.11698 [0.1125349, 0.12151212]	beta = sd_trait/sd_pgs = pearson correlation
PPM019607	PGS004140 (sbayesr.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.30851 [0.29767636, 0.3193396]	—	R²: 0.09518 [0.08861122, 0.10197778]	beta = sd_trait/sd_pgs = pearson correlation
PPM019608	PGS004140 (sbayesr.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.33111 [0.32282802, 0.33939912]	—	R²: 0.10964 [0.10421793, 0.11519176]	beta = sd_trait/sd_pgs = pearson correlation
PPM019609	PGS004140 (sbayesr.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.27622 [0.255241, 0.29719718]	—	R²: 0.0763 [0.06514797, 0.08832617]	beta = sd_trait/sd_pgs = pearson correlation
PPM019610	PGS004140 (sbayesr.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.31881 [0.31220768, 0.32540847]	—	R²: 0.10214 [0.09795686, 0.10641562]	beta = sd_trait/sd_pgs = pearson correlation
PPM019611	PGS004028 (ldpred2.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.22842 [0.20992422, 0.24692159]	—	R²: 0.05218 [0.04406818, 0.06097027]	beta = sd_trait/sd_pgs = pearson correlation
PPM019612	PGS004028 (ldpred2.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.2698 [0.2588313, 0.2807609]	—	R²: 0.07279 [0.06699364, 0.07882668]	beta = sd_trait/sd_pgs = pearson correlation
PPM019613	PGS004028 (ldpred2.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.30321 [0.29484741, 0.31158239]	—	R²: 0.09194 [0.086935, 0.09708358]	beta = sd_trait/sd_pgs = pearson correlation
PPM019614	PGS004028 (ldpred2.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.24804 [0.22689504, 0.26918539]	—	R²: 0.06152 [0.05148136, 0.07246078]	beta = sd_trait/sd_pgs = pearson correlation
PPM019615	PGS004028 (ldpred2.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.29375 [0.28711491, 0.30038872]	—	R²: 0.08719 [0.08329882, 0.09117895]	beta = sd_trait/sd_pgs = pearson correlation
PPM019616	PGS004056 (megaprs.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.25856 [0.24020175, 0.2769116]	—	R²: 0.06685 [0.05769688, 0.07668003]	beta = sd_trait/sd_pgs = pearson correlation
PPM019617	PGS004056 (megaprs.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.29794 [0.28707191, 0.30881172]	—	R²: 0.08877 [0.08241028, 0.09536468]	beta = sd_trait/sd_pgs = pearson correlation
PPM019618	PGS004056 (megaprs.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.30975 [0.30139643, 0.31809447]	—	R²: 0.09594 [0.09083981, 0.10118409]	beta = sd_trait/sd_pgs = pearson correlation
PPM019619	PGS004056 (megaprs.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.27027 [0.24925953, 0.29128942]	—	R²: 0.07305 [0.06213031, 0.08484953]	beta = sd_trait/sd_pgs = pearson correlation
PPM019620	PGS004056 (megaprs.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.30312 [0.29648977, 0.30974588]	—	R²: 0.09255 [0.08854256, 0.09663707]	beta = sd_trait/sd_pgs = pearson correlation
PPM019621	PGS004072 (megaprs.CV.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.26826 [0.24995813, 0.28656726]	—	R²: 0.07196 [0.06247907, 0.0821208]	beta = sd_trait/sd_pgs = pearson correlation
PPM019622	PGS004072 (megaprs.CV.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.31437 [0.30356251, 0.32518198]	—	R²: 0.09883 [0.0921502, 0.10574332]	beta = sd_trait/sd_pgs = pearson correlation
PPM019623	PGS004072 (megaprs.CV.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.32671 [0.31841325, 0.33501127]	—	R²: 0.10674 [0.101387, 0.11223255]	beta = sd_trait/sd_pgs = pearson correlation
PPM019624	PGS004072 (megaprs.CV.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.28601 [0.2650985, 0.30692942]	—	R²: 0.0818 [0.07027721, 0.09420567]	beta = sd_trait/sd_pgs = pearson correlation
PPM019625	PGS004072 (megaprs.CV.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.31308 [0.30647382, 0.31969193]	—	R²: 0.09863 [0.09451257, 0.10284097]	beta = sd_trait/sd_pgs = pearson correlation
PPM019626	PGS004100 (prscs.CV.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.2649 [0.24657456, 0.28321908]	—	R²: 0.07017 [0.06079901, 0.08021305]	beta = sd_trait/sd_pgs = pearson correlation
PPM019627	PGS004100 (prscs.CV.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.32581 [0.31504117, 0.33657265]	—	R²: 0.10615 [0.09925094, 0.11328115]	beta = sd_trait/sd_pgs = pearson correlation
PPM019628	PGS004100 (prscs.CV.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.33324 [0.32495751, 0.34151548]	—	R²: 0.11105 [0.10559739, 0.11663282]	beta = sd_trait/sd_pgs = pearson correlation
PPM019629	PGS004100 (prscs.CV.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.28641 [0.26550017, 0.30732589]	—	R²: 0.08203 [0.07049034, 0.0944492]	beta = sd_trait/sd_pgs = pearson correlation
PPM019630	PGS004100 (prscs.CV.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.31709 [0.31049828, 0.32367192]	—	R²: 0.10153 [0.0973535, 0.10578966]	beta = sd_trait/sd_pgs = pearson correlation
PPM019631	PGS004086 (prscs.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.26523 [0.24690866, 0.28354971]	—	R²: 0.07035 [0.06096389, 0.08040044]	beta = sd_trait/sd_pgs = pearson correlation
PPM019632	PGS004086 (prscs.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.32349 [0.3127154, 0.33426499]	—	R²: 0.10465 [0.09779092, 0.11173309]	beta = sd_trait/sd_pgs = pearson correlation
PPM019633	PGS004086 (prscs.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.33006 [0.32177397, 0.33835153]	—	R²: 0.10894 [0.10353849, 0.11448176]	beta = sd_trait/sd_pgs = pearson correlation
PPM019634	PGS004086 (prscs.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.28497 [0.26404296, 0.30588752]	—	R²: 0.08121 [0.06971868, 0.09356717]	beta = sd_trait/sd_pgs = pearson correlation
PPM019635	PGS004086 (prscs.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.3146 [0.3079978, 0.32119719]	—	R²: 0.09975 [0.09560734, 0.10397752]	beta = sd_trait/sd_pgs = pearson correlation
PPM019636	PGS004002 (lassosum.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.2609 [0.24255263, 0.27923857]	—	R²: 0.06807 [0.05883178, 0.07797418]	beta = sd_trait/sd_pgs = pearson correlation
PPM019637	PGS004002 (lassosum.auto.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.31942 [0.3086293, 0.33021035]	—	R²: 0.10203 [0.09525204, 0.10903888]	beta = sd_trait/sd_pgs = pearson correlation
PPM019638	PGS004002 (lassosum.auto.GCST007140.HDL)	PSS011257\| European Ancestry\| 49,824 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.32133 [0.31301494, 0.32964533]	—	R²: 0.10325 [0.09797835, 0.10866604]	beta = sd_trait/sd_pgs = pearson correlation
PPM019639	PGS004002 (lassosum.auto.GCST007140.HDL)	PSS011285\| South Asian Ancestry\| 8,065 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.28641 [0.26549706, 0.30732282]	—	R²: 0.08203 [0.07048869, 0.09444732]	beta = sd_trait/sd_pgs = pearson correlation
PPM019640	PGS004002 (lassosum.auto.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.30952 [0.30290183, 0.31613205]	—	R²: 0.09646 [0.09237613, 0.10062202]	beta = sd_trait/sd_pgs = pearson correlation
PPM019641	PGS004044 (ldpred2.CV.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.02666 [0.00943679, 0.04387621]	—	R²: 0.00071 [0.0000891, 0.00192512]	beta = sd_trait/sd_pgs = pearson correlation
PPM019642	PGS004044 (ldpred2.CV.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.16248 [0.1520189, 0.17293684]	—	R²: 0.0264 [0.02310974, 0.02990715]	beta = sd_trait/sd_pgs = pearson correlation
PPM019643	PGS004044 (ldpred2.CV.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.15314 [0.13242664, 0.17384762]	—	R²: 0.02345 [0.01753681, 0.030223]	beta = sd_trait/sd_pgs = pearson correlation
PPM019644	PGS004044 (ldpred2.CV.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.19178 [0.18540806, 0.19815508]	—	R²: 0.03885 [0.03631164, 0.04147621]	beta = sd_trait/sd_pgs = pearson correlation
PPM019645	PGS004111 (pt_clump.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.00455 [-0.0126804, 0.0217709]	—	R²: 2e-05 [0.0, 0.000474]	beta = sd_trait/sd_pgs = pearson correlation
PPM019646	PGS004111 (pt_clump.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.1122 [0.10166953, 0.12273531]	—	R²: 0.01259 [0.01033669, 0.01506396]	beta = sd_trait/sd_pgs = pearson correlation
PPM019647	PGS004111 (pt_clump.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.07796 [0.05706538, 0.09885319]	—	R²: 0.00608 [0.00325646, 0.00977195]	beta = sd_trait/sd_pgs = pearson correlation
PPM019648	PGS004111 (pt_clump.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.13494 [0.12849111, 0.14139339]	—	R²: 0.01916 [0.01737109, 0.02103483]	beta = sd_trait/sd_pgs = pearson correlation
PPM019649	PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.02027 [0.00304789, 0.03749248]	—	R²: 0.00041 [0.00000929, 0.00140569]	beta = sd_trait/sd_pgs = pearson correlation
PPM019650	PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.13414 [0.12363329, 0.14464134]	—	R²: 0.01799 [0.01528519, 0.02092112]	beta = sd_trait/sd_pgs = pearson correlation
PPM019652	PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.14619 [0.13975924, 0.15261188]	—	R²: 0.02258 [0.02063827, 0.02460871]	beta = sd_trait/sd_pgs = pearson correlation
PPM019653	PGS003987 (dbslmm.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.0202 [0.00297807, 0.03742271]	—	R²: 0.00041 [0.00000887, 0.00140046]	beta = sd_trait/sd_pgs = pearson correlation
PPM019654	PGS003987 (dbslmm.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.1522 [0.14172414, 0.1626768]	—	R²: 0.02316 [0.02008573, 0.02646374]	beta = sd_trait/sd_pgs = pearson correlation
PPM019655	PGS003987 (dbslmm.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.14804 [0.12730836, 0.16876192]	—	R²: 0.02191 [0.01620742, 0.02848058]	beta = sd_trait/sd_pgs = pearson correlation
PPM019656	PGS003987 (dbslmm.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.18031 [0.17393503, 0.18668242]	—	R²: 0.0345 [0.03209972, 0.0369772]	beta = sd_trait/sd_pgs = pearson correlation
PPM019657	PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.035 [0.01778701, 0.05221757]	—	R²: 0.00123 [0.000316, 0.00272667]	beta = sd_trait/sd_pgs = pearson correlation
PPM019658	PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.17514 [0.16470577, 0.18557774]	—	R²: 0.03067 [0.02712799, 0.0344391]	beta = sd_trait/sd_pgs = pearson correlation
PPM019659	PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.16507 [0.14440242, 0.18574277]	—	R²: 0.02725 [0.02085206, 0.03450038]	beta = sd_trait/sd_pgs = pearson correlation
PPM019660	PGS004157 (UKBB_EnsPGS.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.20758 [0.20123038, 0.21391987]	—	R²: 0.0456 [0.04285908, 0.04843486]	beta = sd_trait/sd_pgs = pearson correlation
PPM019661	PGS004141 (sbayesr.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.02812 [0.01089907, 0.04533712]	—	R²: 0.00079 [0.000119, 0.00205545]	beta = sd_trait/sd_pgs = pearson correlation
PPM019662	PGS004141 (sbayesr.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.15673 [0.14625874, 0.16719639]	—	R²: 0.02456 [0.02139162, 0.02795463]	beta = sd_trait/sd_pgs = pearson correlation
PPM019663	PGS004141 (sbayesr.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.14236 [0.12161776, 0.16310622]	—	R²: 0.02027 [0.01479088, 0.02660364]	beta = sd_trait/sd_pgs = pearson correlation
PPM019664	PGS004141 (sbayesr.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.18408 [0.17769293, 0.19046359]	—	R²: 0.03577 [0.03333553, 0.03829932]	beta = sd_trait/sd_pgs = pearson correlation
PPM019665	PGS004029 (ldpred2.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.03102 [0.0137992, 0.0482343]	—	R²: 0.00096 [0.00019, 0.00232655]	beta = sd_trait/sd_pgs = pearson correlation
PPM019666	PGS004029 (ldpred2.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.11223 [0.10170135, 0.12276705]	—	R²: 0.0126 [0.01034316, 0.01507175]	beta = sd_trait/sd_pgs = pearson correlation
PPM019667	PGS004029 (ldpred2.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.10588 [0.08503512, 0.12671491]	—	R²: 0.01121 [0.00723097, 0.01605667]	beta = sd_trait/sd_pgs = pearson correlation
PPM019668	PGS004029 (ldpred2.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.13529 [0.12882048, 0.14176166]	—	R²: 0.01914 [0.01735574, 0.02101798]	beta = sd_trait/sd_pgs = pearson correlation
PPM019669	PGS004073 (megaprs.CV.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.02487 [0.00764872, 0.04208973]	—	R²: 0.00062 [0.0000585, 0.00177155]	beta = sd_trait/sd_pgs = pearson correlation
PPM019670	PGS004073 (megaprs.CV.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.16593 [0.15548016, 0.17638591]	—	R²: 0.02753 [0.02417408, 0.03111199]	beta = sd_trait/sd_pgs = pearson correlation
PPM019671	PGS004073 (megaprs.CV.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.16274 [0.14205739, 0.18341402]	—	R²: 0.02648 [0.0201803, 0.0336407]	beta = sd_trait/sd_pgs = pearson correlation
PPM019672	PGS004073 (megaprs.CV.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.19138 [0.18502304, 0.19774227]	—	R²: 0.03886 [0.03631892, 0.04148397]	beta = sd_trait/sd_pgs = pearson correlation
PPM019673	PGS004057 (megaprs.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.02167 [0.00444446, 0.03888804]	—	R²: 0.00047 [0.0000198, 0.00151228]	beta = sd_trait/sd_pgs = pearson correlation
PPM019674	PGS004057 (megaprs.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.16342 [0.15296397, 0.17387862]	—	R²: 0.02671 [0.02339798, 0.03023377]	beta = sd_trait/sd_pgs = pearson correlation
PPM019675	PGS004057 (megaprs.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.16331 [0.1426289, 0.18398159]	—	R²: 0.02667 [0.020343, 0.03384922]	beta = sd_trait/sd_pgs = pearson correlation
PPM019676	PGS004057 (megaprs.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.18961 [0.18324065, 0.1959698]	—	R²: 0.03811 [0.03559471, 0.04071179]	beta = sd_trait/sd_pgs = pearson correlation
PPM019677	PGS004087 (prscs.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.02279 [0.00556903, 0.04001175]	—	R²: 0.00052 [0.000031, 0.00160094]	beta = sd_trait/sd_pgs = pearson correlation
PPM019678	PGS004087 (prscs.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.1563 [0.14582935, 0.16676845]	—	R²: 0.02443 [0.0212662, 0.02781172]	beta = sd_trait/sd_pgs = pearson correlation
PPM019679	PGS004087 (prscs.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.15808 [0.13738112, 0.17876949]	—	R²: 0.02499 [0.01887357, 0.03195853]	beta = sd_trait/sd_pgs = pearson correlation
PPM019680	PGS004087 (prscs.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.17698 [0.17058817, 0.18336594]	—	R²: 0.03312 [0.03077336, 0.03555613]	beta = sd_trait/sd_pgs = pearson correlation
PPM019681	PGS004003 (lassosum.auto.GCST007954.HbA1c)	PSS011242\| South Asian Ancestry\| 12,948 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.01939 [0.00216552, 0.03661071]	—	R²: 0.00038 [0.00000469, 0.00134034]	beta = sd_trait/sd_pgs = pearson correlation
PPM019682	PGS004003 (lassosum.auto.GCST007954.HbA1c)	PSS011258\| European Ancestry\| 34,192 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.15659 [0.14612563, 0.16706373]	—	R²: 0.02452 [0.0213527, 0.02791029]	beta = sd_trait/sd_pgs = pearson correlation
PPM019683	PGS004003 (lassosum.auto.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.1469 [0.12616468, 0.16762536]	—	R²: 0.02158 [0.01591753, 0.02809826]	beta = sd_trait/sd_pgs = pearson correlation
PPM019684	PGS004003 (lassosum.auto.GCST007954.HbA1c)	PSS011272\| European Ancestry\| 86,050 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.18516 [0.17877662, 0.19153954]	—	R²: 0.03622 [0.03376864, 0.03876225]	beta = sd_trait/sd_pgs = pearson correlation
PPM019685	PGS004045 (ldpred2.CV.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.242 [1.20468213, 1.28047135] β: 0.21672 [0.18621574, 0.24722825]	AUROC: 0.55911 [0.55023739, 0.56797892]	R²: 0.00866 [0.00640403, 0.01139544]	beta = sd_trait/sd_pgs = pearson correlation
PPM019686	PGS004045 (ldpred2.CV.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.19906 [1.17464211, 1.2239762] β: 0.18153 [0.16096351, 0.20210474]	AUROC: 0.5508 [0.54489488, 0.55670431]	R²: 0.00608 [0.00470563, 0.00760115]	beta = sd_trait/sd_pgs = pearson correlation
PPM019687	PGS004046 (ldpred2.CV.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22224 [0.21121306, 0.23325716]	—	R²: 0.04939 [0.04461096, 0.0544089]	beta = sd_trait/sd_pgs = pearson correlation
PPM019688	PGS004045 (ldpred2.CV.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.1551 [1.08886145, 1.22537065] β: 0.14419 [0.08513261, 0.20324337]	AUROC: 0.54134 [0.52407167, 0.55860959]	R²: 0.00407 [0.00127295, 0.00787491]	beta = log(or)/sd_pgs
PPM019689	PGS004046 (ldpred2.CV.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22732 [0.21993722, 0.23471156]	—	R²: 0.05168 [0.04837238, 0.05508951]	beta = sd_trait/sd_pgs = pearson correlation
PPM019690	PGS004045 (ldpred2.CV.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18451 [1.14041448, 1.23030035] β: 0.16933 [0.13139177, 0.20725833]	AUROC: 0.549 [0.53797079, 0.56002041]	R²: 0.00527 [0.00319058, 0.0079898]	beta = log(or)/sd_pgs
PPM019691	PGS004046 (ldpred2.CV.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.28008 [0.2600842, 0.30007807]	—	R²: 0.07845 [0.06764379, 0.09004685]	beta = sd_trait/sd_pgs = pearson correlation
PPM019692	PGS004045 (ldpred2.CV.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.27638 [1.16349632, 1.40020791] β: 0.24403 [0.15142954, 0.33662073]	AUROC: 0.56537 [0.53845702, 0.59228784]	R²: 0.01155 [0.00425064, 0.0225531]	beta = log(or)/sd_pgs
PPM019693	PGS004046 (ldpred2.CV.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.32473 [0.31841256, 0.33105427]	—	R²: 0.10543 [0.10136325, 0.10957173]	beta = sd_trait/sd_pgs = pearson correlation
PPM019694	PGS004045 (ldpred2.CV.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.37553 [1.32885232, 1.42384795] β: 0.31884 [0.28431565, 0.35336303]	AUROC: 0.58851 [0.57882039, 0.59820663]	R²: 0.01871 [0.01517095, 0.0232003]	beta = log(or)/sd_pgs
PPM019695	PGS004112 (pt_clump.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.11711 [1.08354981, 1.1517165] β: 0.11075 [0.08024251, 0.14125344]	AUROC: 0.53098 [0.52218163, 0.5397727]	R²: 0.00226 [0.00115104, 0.00371754]	beta = log(or)/sd_pgs
PPM019696	PGS004112 (pt_clump.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.08316 [1.06111158, 1.1056714] β: 0.07988 [0.05931702, 0.10045276]	AUROC: 0.52292 [0.51695487, 0.52887984]	R²: 0.00118 [0.000667, 0.00186979]	beta = log(or)/sd_pgs
PPM019697	PGS004113 (pt_clump.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.13077 [0.11956071, 0.14197606]	—	R²: 0.0171 [0.01429476, 0.0201572]	beta = sd_trait/sd_pgs = pearson correlation
PPM019698	PGS004112 (pt_clump.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.09504 [1.03218969, 1.16172289] β: 0.09079 [0.03168246, 0.14990416]	AUROC: 0.52313 [0.50630493, 0.53996214]	R²: 0.00161 [0.000255, 0.0045369]	beta = log(or)/sd_pgs
PPM019699	PGS004113 (pt_clump.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.14395 [0.13644761, 0.15146112]	—	R²: 0.02072 [0.01861795, 0.02294047]	beta = sd_trait/sd_pgs = pearson correlation
PPM019700	PGS004112 (pt_clump.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.10467 [1.06360102, 1.14732104] β: 0.09955 [0.06166034, 0.13742969]	AUROC: 0.52902 [0.51819273, 0.53985452]	R²: 0.00182 [0.000718, 0.00348019]	beta = log(or)/sd_pgs
PPM019701	PGS004113 (pt_clump.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.19146 [0.17101608, 0.21190666]	—	R²: 0.03666 [0.0292465, 0.04490443]	—
PPM019702	PGS004112 (pt_clump.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.07811 [0.98326401, 1.18210438] β: 0.07521 [-0.0168776, 0.16729622]	AUROC: 0.5239 [0.49651631, 0.55128236]	R²: 0.00111	beta = log(or)/sd_pgs
PPM019703	PGS004113 (pt_clump.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.20975 [0.20325053, 0.21624592]	—	R²: 0.04446 [0.04174746, 0.04725661]	beta = sd_trait/sd_pgs = pearson correlation
PPM019704	PGS004112 (pt_clump.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18494 [1.14485436, 1.22642284] β: 0.16969 [0.13527743, 0.20410167]	AUROC: 0.54777 [0.53787572, 0.55765716]	R²: 0.00532 [0.0033413, 0.00779053]	beta = log(or)/sd_pgs
PPM019705	PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.2025 [1.16636806, 1.2397516] β: 0.1844 [0.15389469, 0.21491104]	AUROC: 0.55023 [0.54135599, 0.559099]	R²: 0.00627 [0.00435827, 0.00856503]	beta = log(or)/sd_pgs
PPM019706	PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17535 [1.15142439, 1.19977503] β: 0.16157 [0.14099978, 0.18213407]	AUROC: 0.54523 [0.53930961, 0.55115477]	R²: 0.00482 [0.00358875, 0.00612231]	beta = log(or)/sd_pgs
PPM019707	PGS004129 (pt_clump_nested.CV.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.15438 [0.1432064, 0.16554485]	—	R²: 0.02383 [0.02050807, 0.0274051]	—
PPM019708	PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.12482 [1.06025656, 1.19330703] β: 0.11762 [0.05851091, 0.17672847]	AUROC: 0.53332 [0.51646506, 0.55018411]	R²: 0.0027 [0.0007, 0.00584058]	beta = log(or)/sd_pgs
PPM019709	PGS004129 (pt_clump_nested.CV.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.18248 [0.17501764, 0.18993445]	—	R²: 0.0333 [0.03063117, 0.0360751]	—
PPM019710	PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.14728 [1.10458176, 1.19163636] β: 0.1374 [0.09946677, 0.17532746]	AUROC: 0.53943 [0.52861548, 0.5502363]	R²: 0.00347 [0.00192227, 0.00568946]	beta = log(or)/sd_pgs
PPM019711	PGS004129 (pt_clump_nested.CV.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.20014 [0.17972811, 0.22054651]	—	R²: 0.04005 [0.03230219, 0.04864076]	beta = sd_trait/sd_pgs = pearson correlation
PPM019712	PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.1553 [1.05374053, 1.26664882] β: 0.14436 [0.05234624, 0.23637469]	AUROC: 0.54517 [0.51832281, 0.57201744]	R²: 0.00409 [0.000529, 0.01115553]	beta = log(or)/sd_pgs
PPM019714	PGS004128 (pt_clump_nested.CV.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.28244 [1.23903323, 1.32736551] β: 0.24876 [0.21433143, 0.28319616]	AUROC: 0.56988 [0.56003795, 0.57971632]	R²: 0.01143 [0.00850992, 0.01493158]	beta = log(or)/sd_pgs
PPM019715	PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.24774 [1.21024124, 1.28640596] β: 0.22134 [0.19081971, 0.25185225]	AUROC: 0.5605 [0.55159339, 0.56940394]	R²: 0.00903 [0.006646, 0.0118921]	beta = log(or)/sd_pgs
PPM019716	PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.20836 [1.18374816, 1.23347765] β: 0.18926 [0.16868581, 0.20983754]	AUROC: 0.55287 [0.54695878, 0.5587764]	R²: 0.00661 [0.00515137, 0.00817172]	beta = log(or)/sd_pgs
PPM019717	PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.15782 [1.09138666, 1.22828956] β: 0.14654 [0.08744905, 0.2056226]	AUROC: 0.54098 [0.52370308, 0.55825739]	R²: 0.0042 [0.00129517, 0.00807866]	beta = log(or)/sd_pgs
PPM019718	PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.19045 [1.1461212, 1.23649154] β: 0.17433 [0.13638337, 0.21227796]	AUROC: 0.54974 [0.53876724, 0.56070286]	R²: 0.00558 [0.00339004, 0.00833644]	beta = log(or)/sd_pgs
PPM019719	PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.28519 [1.17169613, 1.40968659] β: 0.25091 [0.15845238, 0.3433674]	AUROC: 0.56886 [0.54177489, 0.5959538]	R²: 0.01225 [0.00436153, 0.02402287]	beta = log(or)/sd_pgs
PPM019720	PGS004158 (UKBB_EnsPGS.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.38925 [1.34216238, 1.43798349] β: 0.32876 [0.29428203, 0.36324178]	AUROC: 0.59165 [0.58198776, 0.60131927]	R²: 0.01996 [0.01607829, 0.02453676]	beta = log(or)/sd_pgs
PPM019722	PGS004159 (UKBB_EnsPGS.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.23365 [0.2262773, 0.24102889]	—	R²: 0.05459 [0.05120141, 0.05809492]	beta = sd_trait/sd_pgs = pearson correlation
PPM019723	PGS004159 (UKBB_EnsPGS.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.28908 [0.26913599, 0.30901859]	—	R²: 0.08357 [0.07243418, 0.09549249]	beta = sd_trait/sd_pgs = pearson correlation
PPM019724	PGS004159 (UKBB_EnsPGS.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.3364 [0.33010355, 0.34269883]	—	R²: 0.11301 [0.10881776, 0.11728018]	beta = sd_trait/sd_pgs = pearson correlation
PPM019725	PGS003988 (dbslmm.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23024 [1.1933069, 1.26831825] β: 0.20721 [0.17672836, 0.23769181]	AUROC: 0.5569 [0.54809362, 0.5656994]	R²: 0.00793 [0.00579596, 0.01051282]	beta = log(or)/sd_pgs
PPM019726	PGS003988 (dbslmm.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.19381 [1.16951283, 1.21861953] β: 0.17715 [0.15658727, 0.19771868]	AUROC: 0.54995 [0.54404074, 0.55586256]	R²: 0.00579 [0.00444117, 0.00724803]	beta = log(or)/sd_pgs
PPM019727	PGS003989 (dbslmm.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.20785 [0.19679458, 0.21891029]	—	R²: 0.0432 [0.03872811, 0.04792171]	beta = sd_trait/sd_pgs = pearson correlation
PPM019728	PGS003988 (dbslmm.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.13529 [1.07019594, 1.20433419] β: 0.12688 [0.06784175, 0.18592687]	AUROC: 0.53659 [0.51951047, 0.55367823]	R²: 0.00315 [0.000898, 0.00660465]	beta = log(or)/sd_pgs
PPM019729	PGS003989 (dbslmm.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.21486 [0.20744986, 0.22226708]	—	R²: 0.04616 [0.04303545, 0.04940265]	beta = sd_trait/sd_pgs = pearson correlation
PPM019730	PGS003988 (dbslmm.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17463 [1.13092762, 1.22001596] β: 0.16095 [0.1230382, 0.19886394]	AUROC: 0.54505 [0.53406509, 0.55603672]	R²: 0.00477 [0.00284764, 0.00733529]	beta = log(or)/sd_pgs
PPM019731	PGS003989 (dbslmm.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.26244 [0.2423389, 0.28253991]	—	R²: 0.06887 [0.05872814, 0.0798288]	beta = sd_trait/sd_pgs = pearson correlation
PPM019732	PGS003988 (dbslmm.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.21118 [1.10445411, 1.32821089] β: 0.19159 [0.09935119, 0.28383284]	AUROC: 0.55261 [0.52561847, 0.57960659]	R²: 0.00717 [0.00213366, 0.0157962]	beta = log(or)/sd_pgs
PPM019733	PGS003989 (dbslmm.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.2994 [0.29301774, 0.30577896]	—	R²: 0.08951 [0.08573803, 0.0933686]	beta = sd_trait/sd_pgs = pearson correlation
PPM019734	PGS003988 (dbslmm.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.32812 [1.28320824, 1.37459563] β: 0.28376 [0.24936338, 0.3181596]	AUROC: 0.5788 [0.56896997, 0.5886244]	R²: 0.01492 [0.01181946, 0.01883422]	beta = log(or)/sd_pgs
PPM019735	PGS004142 (sbayesr.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23421 [1.1971035, 1.27246409] β: 0.21043 [0.17990489, 0.24095525]	AUROC: 0.55802 [0.54918921, 0.56685227]	R²: 0.00815 [0.00604905, 0.01091751]	beta = log(or)/sd_pgs
PPM019736	PGS004142 (sbayesr.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18832 [1.16411907, 1.21301494] β: 0.17254 [0.15196464, 0.19310895]	AUROC: 0.5484 [0.54249359, 0.55430069]	R²: 0.00549 [0.00421183, 0.00693354]	beta = log(or)/sd_pgs
PPM019737	PGS004143 (sbayesr.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.2195 [0.20847171, 0.23052981]	—	R²: 0.04818 [0.04346045, 0.05314399]	beta = sd_trait/sd_pgs = pearson correlation
PPM019738	PGS004142 (sbayesr.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.14325 [1.07765597, 1.21284605] β: 0.13388 [0.07478828, 0.1929697]	AUROC: 0.53931 [0.52207763, 0.55653919]	R²: 0.0035 [0.00100406, 0.00686106]	beta = log(or)/sd_pgs
PPM019739	PGS004143 (sbayesr.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22058 [0.21318067, 0.22797852]	—	R²: 0.04866 [0.045446, 0.05197421]	beta = sd_trait/sd_pgs = pearson correlation
PPM019740	PGS004142 (sbayesr.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17317 [1.12954087, 1.21849136] β: 0.15971 [0.12181124, 0.1976135]	AUROC: 0.54585 [0.53478619, 0.55691572]	R²: 0.0047 [0.00273548, 0.00734604]	beta = log(or)/sd_pgs
PPM019741	PGS004143 (sbayesr.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.27556 [0.25553529, 0.29558364]	—	R²: 0.07593 [0.06529829, 0.08736969]	beta = sd_trait/sd_pgs = pearson correlation
PPM019742	PGS004142 (sbayesr.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23784 [1.12881937, 1.35739617] β: 0.21337 [0.12117228, 0.30556828]	AUROC: 0.55658 [0.52964669, 0.58350585]	R²: 0.0089 [0.00283215, 0.01902499]	beta = log(or)/sd_pgs
PPM019743	PGS004143 (sbayesr.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.31768 [0.31134473, 0.32402407]	—	R²: 0.10082 [0.09683518, 0.1048829]	beta = sd_trait/sd_pgs = pearson correlation
PPM019744	PGS004142 (sbayesr.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.36398 [1.31765357, 1.41192727] β: 0.3104 [0.27585256, 0.34495563]	AUROC: 0.58616 [0.5764651, 0.59585397]	R²: 0.0177 [0.01412712, 0.02191158]	beta = log(or)/sd_pgs
PPM019745	PGS004030 (ldpred2.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23112 [1.1941334, 1.26925559] β: 0.20793 [0.17742073, 0.23843058]	AUROC: 0.55668 [0.5478157, 0.56555057]	R²: 0.00797 [0.00585676, 0.01066813]	beta = log(or)/sd_pgs
PPM019746	PGS004030 (ldpred2.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.19337 [1.16906302, 1.21817902] β: 0.17678 [0.15620259, 0.19735714]	AUROC: 0.54995 [0.54405258, 0.55585351]	R²: 0.00576 [0.00443121, 0.00725396]	beta = log(or)/sd_pgs
PPM019747	PGS004031 (ldpred2.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.21464 [0.20359709, 0.22567964]	—	R²: 0.04607 [0.04145178, 0.0509313]	beta = sd_trait/sd_pgs = pearson correlation
PPM019748	PGS004030 (ldpred2.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.1534 [1.08721967, 1.22360124] β: 0.14271 [0.08362368, 0.20179834]	AUROC: 0.54181 [0.52454977, 0.55907334]	R²: 0.00398 [0.00123797, 0.00786976]	beta = log(or)/sd_pgs
PPM019749	PGS004031 (ldpred2.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22342 [0.21602931, 0.23081733]	—	R²: 0.04992 [0.04666866, 0.05327664]	beta = sd_trait/sd_pgs = pearson correlation
PPM019750	PGS004030 (ldpred2.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17966 [1.13576082, 1.22525001] β: 0.16522 [0.12730275, 0.20314491]	AUROC: 0.54738 [0.53635553, 0.55840799]	R²: 0.00502 [0.00301088, 0.0076534]	beta = log(or)/sd_pgs
PPM019751	PGS004031 (ldpred2.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.27229 [0.25225026, 0.29233735]	—	R²: 0.07414 [0.06363019, 0.08546113]	beta = sd_trait/sd_pgs = pearson correlation
PPM019752	PGS004030 (ldpred2.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.26323 [1.15148215, 1.38583278] β: 0.23368 [0.14104994, 0.32630125]	AUROC: 0.56133 [0.53398949, 0.58866499]	R²: 0.01058 [0.00360456, 0.02125432]	beta = log(or)/sd_pgs
PPM019754	PGS004030 (ldpred2.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.37576 [1.32906928, 1.42409914] β: 0.31901 [0.28447891, 0.35353943]	AUROC: 0.58872 [0.57899906, 0.59843563]	R²: 0.01873 [0.01506559, 0.02314554]	beta = log(or)/sd_pgs
PPM019755	PGS004058 (megaprs.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23792 [1.20070787, 1.2762774] β: 0.21343 [0.18291127, 0.24394756]	AUROC: 0.5582 [0.54931317, 0.56709374]	R²: 0.00839 [0.0061352, 0.01106649]	beta = log(or)/sd_pgs
PPM019756	PGS004058 (megaprs.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.20337 [1.17886771, 1.2283837] β: 0.18513 [0.16455441, 0.20569924]	AUROC: 0.55164 [0.54571547, 0.55755818]	R²: 0.00632 [0.00492841, 0.00788161]	beta = log(or)/sd_pgs
PPM019757	PGS004059 (megaprs.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22316 [0.21214072, 0.23418004]	—	R²: 0.0498 [0.04500368, 0.05484029]	beta = sd_trait/sd_pgs = pearson correlation
PPM019758	PGS004058 (megaprs.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.15047 [1.08443574, 1.22052591] β: 0.14017 [0.0810598, 0.19928184]	AUROC: 0.53866 [0.52150184, 0.55581891]	R²: 0.00384 [0.00124192, 0.00757291]	beta = log(or)/sd_pgs
PPM019759	PGS004059 (megaprs.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22692 [0.21952877, 0.23430455]	—	R²: 0.05149 [0.04819288, 0.05489862]	beta = sd_trait/sd_pgs = pearson correlation
PPM019760	PGS004058 (megaprs.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18412 [1.14003279, 1.22990178] β: 0.169 [0.13105703, 0.20693431]	AUROC: 0.54801 [0.53709608, 0.55891453]	R²: 0.00525 [0.00330478, 0.007947]	beta = log(or)/sd_pgs
PPM019761	PGS004059 (megaprs.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.28361 [0.26363577, 0.30358644]	—	R²: 0.08044 [0.06950382, 0.09216473]	beta = sd_trait/sd_pgs = pearson correlation
PPM019762	PGS004058 (megaprs.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.28993 [1.17631248, 1.41451521] β: 0.25459 [0.16238452, 0.34678686]	AUROC: 0.57148 [0.54450673, 0.59844854]	R²: 0.01269 [0.00469775, 0.0239924]	beta = log(or)/sd_pgs
PPM019763	PGS004059 (megaprs.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.32293 [0.31659726, 0.32925313]	—	R²: 0.10417 [0.10012723, 0.10829233]	beta = sd_trait/sd_pgs = pearson correlation
PPM019764	PGS004058 (megaprs.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.36871 [1.32230724, 1.41674183] β: 0.31387 [0.27937812, 0.34835975]	AUROC: 0.58807 [0.57841176, 0.59773335]	R²: 0.01817 [0.01448802, 0.02239938]	beta = log(or)/sd_pgs
PPM019765	PGS004074 (megaprs.CV.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23578 [1.19864093, 1.27407333] β: 0.2117 [0.18118836, 0.24221912]	AUROC: 0.55834 [0.54945617, 0.56721713]	R²: 0.00826 [0.0060529, 0.01096439]	beta = log(or)/sd_pgs
PPM019766	PGS004074 (megaprs.CV.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.20198 [1.17750562, 1.22696667] β: 0.18397 [0.16339832, 0.204545]	AUROC: 0.55139 [0.54546982, 0.55731084]	R²: 0.00624 [0.00487883, 0.00778005]	beta = log(or)/sd_pgs
PPM019767	PGS004075 (megaprs.CV.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22663 [0.2156151, 0.23763634]	—	R²: 0.05136 [0.04648987, 0.05647103]	beta = sd_trait/sd_pgs = pearson correlation
PPM019768	PGS004074 (megaprs.CV.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.14888 [1.08294317, 1.21882974] β: 0.13879 [0.07968249, 0.19789117]	AUROC: 0.53919 [0.52190245, 0.55648558]	R²: 0.00376 [0.00122428, 0.00743374]	beta = log(or)/sd_pgs
PPM019769	PGS004075 (megaprs.CV.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.22823 [0.22084135, 0.23561248]	—	R²: 0.05209 [0.0487709, 0.05551324]	beta = sd_trait/sd_pgs = pearson correlation
PPM019770	PGS004074 (megaprs.CV.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18135 [1.13738745, 1.22702028] β: 0.16666 [0.12873393, 0.2045887]	AUROC: 0.5476 [0.53666358, 0.55854038]	R²: 0.00511 [0.00310772, 0.00765944]	beta = log(or)/sd_pgs
PPM019771	PGS004075 (megaprs.CV.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.28276 [0.26277589, 0.30273707]	—	R²: 0.07995 [0.06905117, 0.09164973]	beta = sd_trait/sd_pgs = pearson correlation
PPM019772	PGS004074 (megaprs.CV.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.27181 [1.15969721, 1.39475076] β: 0.24044 [0.14815895, 0.33271573]	AUROC: 0.56733 [0.54022352, 0.5944359]	R²: 0.01129 [0.00382693, 0.02284883]	beta = log(or)/sd_pgs
PPM019773	PGS004075 (megaprs.CV.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.32666 [0.3203335, 0.33297825]	—	R²: 0.1065 [0.10241762, 0.11066281]	beta = sd_trait/sd_pgs = pearson correlation
PPM019775	PGS004101 (prscs.CV.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.22532 [1.18851386, 1.26325581] β: 0.2032 [0.17270367, 0.23369237]	AUROC: 0.55606 [0.547198, 0.56491847]	R²: 0.00762 [0.00536091, 0.01014781]	beta = log(or)/sd_pgs
PPM019776	PGS004101 (prscs.CV.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18489 [1.16077298, 1.20951101] β: 0.16965 [0.14908615, 0.19021616]	AUROC: 0.54819 [0.54227366, 0.5541051]	R²: 0.00531 [0.00400902, 0.00668264]	beta = log(or)/sd_pgs
PPM019777	PGS004101 (prscs.CV.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.14104 [1.07556721, 1.2104902] β: 0.13194 [0.07284816, 0.1910254]	AUROC: 0.53777 [0.5204936, 0.5550378]	R²: 0.0034 [0.00097, 0.00704828]	beta = log(or)/sd_pgs
PPM019778	PGS004101 (prscs.CV.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17256 [1.12892993, 1.21787166] β: 0.15919 [0.12127022, 0.19710479]	AUROC: 0.54519 [0.53420769, 0.55617479]	R²: 0.00466 [0.00273122, 0.00728332]	beta = log(or)/sd_pgs
PPM019780	PGS004101 (prscs.CV.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.33357 [1.28842926, 1.38028911] β: 0.28786 [0.25342385, 0.32229297]	AUROC: 0.57986 [0.57008693, 0.58963579]	R²: 0.01532 [0.01200722, 0.01924268]	beta = log(or)/sd_pgs
PPM019781	PGS004088 (prscs.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.22843 [1.19153981, 1.26646878] β: 0.20574 [0.17524643, 0.23623254]	AUROC: 0.55653 [0.54765933, 0.56540856]	R²: 0.00781 [0.00563191, 0.01041575]	beta = log(or)/sd_pgs
PPM019782	PGS004088 (prscs.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.1913 [1.16704613, 1.21605305] β: 0.17504 [0.15447588, 0.19561041]	AUROC: 0.54924 [0.5433243, 0.55515418]	R²: 0.00565 [0.00431514, 0.00712059]	beta = log(or)/sd_pgs
PPM019783	PGS004089 (prscs.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.21078 [0.1997291, 0.22183064]	—	R²: 0.04443 [0.03989171, 0.04920883]	beta = sd_trait/sd_pgs = pearson correlation
PPM019784	PGS004088 (prscs.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.13127 [1.06637448, 1.20011164] β: 0.12334 [0.06426456, 0.18241459]	AUROC: 0.53583 [0.51862088, 0.55304253]	R²: 0.00297 [0.000741, 0.00647426]	beta = log(or)/sd_pgs
PPM019785	PGS004089 (prscs.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.21808 [0.21068141, 0.22548777]	—	R²: 0.04756 [0.04438666, 0.05084474]	beta = sd_trait/sd_pgs = pearson correlation
PPM019786	PGS004088 (prscs.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18048 [1.1365521, 1.2261114] β: 0.16592 [0.1279992, 0.2038477]	AUROC: 0.54776 [0.53673488, 0.55877755]	R²: 0.00506 [0.00298452, 0.00774105]	beta = log(or)/sd_pgs
PPM019787	PGS004089 (prscs.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.27584 [0.25581489, 0.29585992]	—	R²: 0.07609 [0.06544126, 0.08753309]	beta = sd_trait/sd_pgs = pearson correlation
PPM019788	PGS004088 (prscs.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.24645 [1.13649584, 1.36704818] β: 0.2203 [0.1279497, 0.3126538]	AUROC: 0.55994 [0.53259954, 0.58727106]	R²: 0.00946 [0.0028877, 0.01972058]	beta = log(or)/sd_pgs
PPM019789	PGS004089 (prscs.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.30818 [0.30180942, 0.3145413]	—	R²: 0.09473 [0.09085618, 0.09868344]	beta = sd_trait/sd_pgs = pearson correlation
PPM019790	PGS004088 (prscs.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.34394 [1.29844261, 1.39102695] β: 0.2956 [0.26116555, 0.33004229]	AUROC: 0.58198 [0.5721855, 0.5917799]	R²: 0.01616 [0.01278626, 0.020327]	beta = log(or)/sd_pgs
PPM019791	PGS004004 (lassosum.auto.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.21322 [1.17679487, 1.25076374] β: 0.19327 [0.16279453, 0.22375436]	AUROC: 0.5533 [0.54444893, 0.56214449]	R²: 0.0069 [0.00494085, 0.00942766]	beta = log(or)/sd_pgs
PPM019792	PGS004004 (lassosum.auto.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.1667 [1.14294429, 1.19094092] β: 0.15418 [0.13360764, 0.17474368]	AUROC: 0.54321 [0.53730061, 0.54912911]	R²: 0.00439 [0.00324186, 0.00567621]	beta = log(or)/sd_pgs
PPM019793	PGS004005 (lassosum.auto.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.1977 [0.18662273, 0.20878595]	—	R²: 0.03909 [0.03482804, 0.04359157]	beta = sd_trait/sd_pgs = pearson correlation
PPM019794	PGS004004 (lassosum.auto.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.14563 [1.07984697, 1.21542573] β: 0.13596 [0.07681934, 0.19509441]	AUROC: 0.53841 [0.52122049, 0.55559138]	R²: 0.00361 [0.0010689, 0.00745491]	beta = log(or)/sd_pgs
PPM019795	PGS004005 (lassosum.auto.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.20614 [0.19871524, 0.21356094]	—	R²: 0.04249 [0.03948775, 0.04560828]	beta = sd_trait/sd_pgs = pearson correlation
PPM019796	PGS004004 (lassosum.auto.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17435 [1.13067765, 1.21971447] β: 0.16072 [0.12281715, 0.19861679]	AUROC: 0.54591 [0.53491235, 0.55689954]	R²: 0.00476 [0.00282819, 0.00739137]	beta = log(or)/sd_pgs
PPM019797	PGS004005 (lassosum.auto.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.25654 [0.23640258, 0.27666967]	—	R²: 0.06581 [0.05588618, 0.07654611]	beta = sd_trait/sd_pgs = pearson correlation
PPM019798	PGS004004 (lassosum.auto.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.17987 [1.07574801, 1.29405974] β: 0.1654 [0.07301624, 0.25778436]	AUROC: 0.54599 [0.51853554, 0.57344894]	R²: 0.00532 [0.000857, 0.01375478]	beta = log(or)/sd_pgs
PPM019799	PGS004005 (lassosum.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.29184 [0.28543823, 0.2982332]	—	R²: 0.08502 [0.08133063, 0.08878547]	beta = sd_trait/sd_pgs = pearson correlation
PPM019800	PGS004004 (lassosum.auto.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	β: 0.28325 [0.24886546, 0.31762566] OR: 1.32743 [1.28256946, 1.37386187]	AUROC: 0.5783 [0.56845467, 0.5881504]	R²: 0.01488 [0.01154959, 0.01893036]	beta = log(or)/sd_pgs
PPM019801	PGS004016 (lassosum.CV.GCST008059.CKD)	PSS011216\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23332 [1.19630311, 1.27147495] β: 0.20971 [0.17923606, 0.2401776]	AUROC: 0.55668 [0.54780184, 0.56556088]	R²: 0.00813 [0.00590798, 0.01074639]	beta = log(or)/sd_pgs
PPM019802	PGS004016 (lassosum.CV.GCST008059.CKD)	PSS011228\| European Ancestry\| 383,843 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.19566 [1.17131638, 1.22050148] β: 0.1787 [0.15812823, 0.19926182]	AUROC: 0.54987 [0.54395119, 0.55578505]	R²: 0.00589 [0.00458824, 0.00743099]	beta = log(or)/sd_pgs
PPM019803	PGS004017 (lassosum.CV.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.20463 [0.19356759, 0.21569864]	—	R²: 0.04187 [0.03746841, 0.0465259]	beta = sd_trait/sd_pgs = pearson correlation
PPM019804	PGS004016 (lassosum.CV.GCST008059.CKD)	PSS011239\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.14431 [1.07861182, 1.21399945] β: 0.1348 [0.07567487, 0.19392024]	AUROC: 0.53661 [0.51946095, 0.55376014]	R²: 0.00355 [0.00110449, 0.00723333]	beta = log(or)/sd_pgs
PPM019806	PGS004016 (lassosum.CV.GCST008059.CKD)	PSS011255\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.18937 [1.1451028, 1.2353457] β: 0.17342 [0.13549441, 0.21135085]	AUROC: 0.54941 [0.53844924, 0.56036734]	R²: 0.00553 [0.00330295, 0.00842094]	beta = log(or)/sd_pgs
PPM019807	PGS004017 (lassosum.CV.GCST008059.eGFR)	PSS011293\| South Asian Ancestry\| 8,855 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.26617 [0.24609041, 0.28624883]	—	R²: 0.07085 [0.06056049, 0.08193839]	beta = sd_trait/sd_pgs = pearson correlation
PPM019808	PGS004016 (lassosum.CV.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.23734 [1.12826385, 1.35696338] β: 0.21296 [0.12068003, 0.30524939]	AUROC: 0.5584 [0.53209215, 0.58469878]	R²: 0.00885 [0.00264565, 0.01849334]	beta = log(or)/sd_pgs
PPM019809	PGS004017 (lassosum.CV.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.30382 [0.29744577, 0.31019575]	—	R²: 0.09208 [0.08825534, 0.09598361]	beta = sd_trait/sd_pgs = pearson correlation
PPM019810	PGS004016 (lassosum.CV.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.3499 [1.30425668, 1.39713926] β: 0.30003 [0.26563328, 0.33442676]	AUROC: 0.58281 [0.57298399, 0.59264029]	R²: 0.01668 [0.01325458, 0.02089586]	beta = log(or)/sd_pgs
PPM019811	PGS004047 (ldpred2.CV.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.57029 [1.53911144, 1.60210729] β: 0.45126 [0.43120526, 0.47131982]	AUROC: 0.62478 [0.61939663, 0.63017274]	R²: 0.03482 [0.03180934, 0.03793095]	beta = log(or)/sd_pgs
PPM019812	PGS004047 (ldpred2.CV.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.65592 [1.61999787, 1.69263148] β: 0.50435 [0.48242483, 0.52628441]	AUROC: 0.63826 [0.63237721, 0.64415233]	R²: 0.04313 [0.03957846, 0.04698389]	beta = log(or)/sd_pgs
PPM019813	PGS004048 (ldpred2.CV.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.25902 [0.23148755, 0.28655045]	—	R²: 0.06709 [0.05358649, 0.08211116]	beta = sd_trait/sd_pgs = pearson correlation
PPM019814	PGS004047 (ldpred2.CV.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.81978 [1.61594847, 2.04932235] β: 0.59872 [0.47992207, 0.71750918]	AUROC: 0.66423 [0.63140265, 0.6970572]	R²: 0.05228 [0.03448994, 0.07669495]	beta = log(or)/sd_pgs
PPM019815	PGS004047 (ldpred2.CV.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.73092 [1.63702196, 1.83020697] β: 0.54865 [0.49287871, 0.60442906]	AUROC: 0.647 [0.63174995, 0.66224274]	R²: 0.05136 [0.04160962, 0.06231325]	beta = log(or)/sd_pgs
PPM019816	PGS004048 (ldpred2.CV.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.25163 [0.23145717, 0.27180757]	—	R²: 0.06332 [0.05357242, 0.07387935]	beta = sd_trait/sd_pgs = pearson correlation
PPM019817	PGS004047 (ldpred2.CV.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.57863 [1.37389967, 1.81385706] β: 0.45655 [0.31765317, 0.59545555]	AUROC: 0.62973 [0.59217851, 0.66728538]	R²: 0.03102 [0.01521567, 0.05304593]	beta = log(or)/sd_pgs
PPM019818	PGS004048 (ldpred2.CV.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.28769 [0.28129305, 0.29408621]	—	R²: 0.08289 [0.07924776, 0.08662002]	beta = sd_trait/sd_pgs = pearson correlation
PPM019819	PGS004047 (ldpred2.CV.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.99932 [1.90150797, 2.1021659] β: 0.69281 [0.64264724, 0.74296819]	AUROC: 0.68511 [0.67239174, 0.69782462]	R²: 0.08006 [0.0693014, 0.09177049]	beta = log(or)/sd_pgs
PPM019820	PGS004114 (pt_clump.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.35293 [1.32659628, 1.37978264] β: 0.30227 [0.28261648, 0.32192598]	AUROC: 0.58503 [0.57951662, 0.59054167]	R²: 0.01612 [0.01400763, 0.01829906]	beta = log(or)/sd_pgs
PPM019821	PGS004114 (pt_clump.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.4164 [1.38595483, 1.44750518] β: 0.34812 [0.32638931, 0.36984151]	AUROC: 0.59683 [0.59079682, 0.60285579]	R²: 0.02079 [0.01822775, 0.02353939]	beta = log(or)/sd_pgs
PPM019822	PGS004115 (pt_clump.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.20755 [0.17967113, 0.23543815]	—	R²: 0.04308 [0.03228172, 0.05543112]	beta = sd_trait/sd_pgs = pearson correlation
PPM019823	PGS004114 (pt_clump.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.6966 [1.50610858, 1.91117414] β: 0.52862 [0.40952923, 0.64771779]	AUROC: 0.64275 [0.60834253, 0.67714816]	R²: 0.04038 [0.02343705, 0.06487604]	beta = log(or)/sd_pgs
PPM019824	PGS004114 (pt_clump.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.52441 [1.44373045, 1.609599] β: 0.42161 [0.36723035, 0.47598508]	AUROC: 0.61995 [0.60482036, 0.63508935]	R²: 0.03182 [0.02447801, 0.04051747]	beta = log(or)/sd_pgs
PPM019825	PGS004115 (pt_clump.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.19593 [0.1754887, 0.21637255]	—	R²: 0.03839 [0.03079629, 0.04681708]	beta = sd_trait/sd_pgs = pearson correlation
PPM019826	PGS004114 (pt_clump.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.39654 [1.2146057, 1.60571975] β: 0.334 [0.19441949, 0.4735721]	AUROC: 0.59207 [0.55196044, 0.63218622]	R²: 0.0164 [0.00610608, 0.03384948]	beta = log(or)/sd_pgs
PPM019827	PGS004115 (pt_clump.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.19725 [0.1906949, 0.20381401]	—	R²: 0.03884 [0.03629704, 0.04146304]	beta = sd_trait/sd_pgs = pearson correlation
PPM019828	PGS004114 (pt_clump.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.60047 [1.52497288, 1.67969876] β: 0.4703 [0.42197662, 0.51861447]	AUROC: 0.63272 [0.61941303, 0.64603339]	R²: 0.03943 [0.03181938, 0.04779961]	beta = log(or)/sd_pgs
PPM019829	PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.41975 [1.39210045, 1.44793898] β: 0.35048 [0.33081372, 0.37014115]	AUROC: 0.59885 [0.59337584, 0.60432404]	R²: 0.02171 [0.0193516, 0.02424187]	beta = log(or)/sd_pgs
PPM019830	PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.49959 [1.46760777, 1.53226568] β: 0.40519 [0.38363371, 0.42674748]	AUROC: 0.61194 [0.60594018, 0.61793514]	R²: 0.0287 [0.02585984, 0.03197448]	beta = log(or)/sd_pgs
PPM019831	PGS004131 (pt_clump_nested.CV.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.21235 [0.18449491, 0.24020323]	—	R²: 0.04509 [0.03403837, 0.05769759]	beta = sd_trait/sd_pgs = pearson correlation
PPM019832	PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.59226 [1.41454557, 1.79230371] β: 0.46516 [0.34680833, 0.58350178]	AUROC: 0.62345 [0.58805763, 0.65884647]	R²: 0.0317 [0.01646922, 0.05246802]	beta = log(or)/sd_pgs
PPM019833	PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.54512 [1.46301062, 1.63183622] β: 0.4351 [0.38049638, 0.4897059]	AUROC: 0.62088 [0.60552207, 0.63624195]	R²: 0.03364 [0.02524368, 0.04289464]	beta = log(or)/sd_pgs
PPM019834	PGS004131 (pt_clump_nested.CV.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.20496 [0.18455589, 0.22536272]	—	R²: 0.04201 [0.03406088, 0.05078836]	beta = sd_trait/sd_pgs = pearson correlation
PPM019835	PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.47895 [1.2857321, 1.70119925] β: 0.39133 [0.25132828, 0.53133344]	AUROC: 0.60425 [0.56546463, 0.64303584]	R²: 0.02242 [0.00910118, 0.04163739]	beta = log(or)/sd_pgs
PPM019836	PGS004131 (pt_clump_nested.CV.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.22201 [0.21549835, 0.22852381]	—	R²: 0.04936 [0.04650738, 0.05229942]	beta = sd_trait/sd_pgs = pearson correlation
PPM019837	PGS004130 (pt_clump_nested.CV.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.69355 [1.61299567, 1.77811774] β: 0.52682 [0.47809311, 0.57555535]	AUROC: 0.64832 [0.63528135, 0.66136231]	R²: 0.04876 [0.04004656, 0.05763014]	beta = log(or)/sd_pgs
PPM019838	PGS003990 (dbslmm.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.50745 [1.47796024, 1.5375183] β: 0.41042 [0.39066292, 0.43016962]	AUROC: 0.61325 [0.60779606, 0.61870702]	R²: 0.02962 [0.02672714, 0.03230875]	beta = log(or)/sd_pgs
PPM019839	PGS003990 (dbslmm.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.59028 [1.55612374, 1.62518326] β: 0.46391 [0.44219794, 0.48562058]	AUROC: 0.62761 [0.62165917, 0.63355348]	R²: 0.03713 [0.03363667, 0.04076845]	beta = log(or)/sd_pgs
PPM019840	PGS003991 (dbslmm.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.20962 [0.18174581, 0.23748775]	—	R²: 0.04394 [0.03303154, 0.05640043]	beta = sd_trait/sd_pgs = pearson correlation
PPM019841	PGS003990 (dbslmm.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.63718 [1.45725499, 1.83932584] β: 0.49298 [0.37655452, 0.60939911]	AUROC: 0.64151 [0.60737269, 0.67564824]	R²: 0.03669 [0.02132512, 0.05710201]	beta = log(or)/sd_pgs
PPM019842	PGS003990 (dbslmm.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.67929 [1.58936991, 1.77430261] β: 0.51837 [0.46333766, 0.57340745]	AUROC: 0.64259 [0.62727636, 0.65789436]	R²: 0.0471 [0.03706694, 0.0578511]	beta = log(or)/sd_pgs
PPM019929	PGS004034 (ldpred2.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.5321 [1.50892339, 1.55564048] β: 0.42664 [0.41139641, 0.44188734]	AUROC: 0.6237 [0.61877662, 0.62862975]	R²: 0.0349 [0.03207661, 0.03776512]	beta = log(or)/sd_pgs
PPM019844	PGS003990 (dbslmm.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.46542 [1.27714829, 1.68144609] β: 0.38214 [0.2446297, 0.51965419]	AUROC: 0.61315 [0.57622286, 0.65007909]	R²: 0.0221 [0.01047071, 0.04003123]	beta = log(or)/sd_pgs
PPM019846	PGS003990 (dbslmm.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.88159 [1.79142568, 1.9762825] β: 0.63211 [0.58301177, 0.68121755]	AUROC: 0.67177 [0.6587114, 0.68482289]	R²: 0.06935 [0.05874042, 0.07993725]	beta = log(or)/sd_pgs
PPM019847	PGS004144 (sbayesr.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.37049 [1.34448721, 1.3969883] β: 0.31517 [0.29601268, 0.33431871]	AUROC: 0.5948 [0.58929349, 0.60029954]	R²: 0.01836 [0.01618313, 0.02045728]	beta = log(or)/sd_pgs
PPM019848	PGS004144 (sbayesr.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.39569 [1.3680873, 1.42384041] β: 0.33339 [0.31341363, 0.35335774]	AUROC: 0.60637 [0.60037349, 0.61237494]	R²: 0.02238 [0.0198265, 0.02508651]	beta = log(or)/sd_pgs
PPM019849	PGS004145 (sbayesr.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.12294 [0.09465441, 0.1512304]	—	R²: 0.01511 [0.00895946, 0.02287063]	beta = sd_trait/sd_pgs = pearson correlation
PPM019850	PGS004144 (sbayesr.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.35132 [1.2152716, 1.50259509] β: 0.30108 [0.19496759, 0.40719368]	AUROC: 0.6027 [0.57045758, 0.63494982]	R²: 0.01656 [0.00720585, 0.02968156]	beta = log(or)/sd_pgs
PPM019851	PGS004144 (sbayesr.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.4915 [1.4137102, 1.57356686] β: 0.39978 [0.3462176, 0.45334493]	AUROC: 0.61617 [0.6008529, 0.63148274]	R²: 0.029 [0.02189778, 0.03741371]	beta = log(or)/sd_pgs
PPM019852	PGS004145 (sbayesr.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.13599 [0.11533769, 0.1566423]	—	R²: 0.01849 [0.01330278, 0.02453681]	beta = sd_trait/sd_pgs = pearson correlation
PPM019853	PGS004144 (sbayesr.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.23735 [1.08823259, 1.40691132] β: 0.21298 [0.08455491, 0.34139675]	AUROC: 0.56836 [0.5310894, 0.60562336]	R²: 0.00786 [0.00136453, 0.02120461]	beta = log(or)/sd_pgs
PPM019854	PGS004145 (sbayesr.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.2343 [0.22780383, 0.24080268]	—	R²: 0.05488 [0.05188026, 0.05796992]	beta = sd_trait/sd_pgs = pearson correlation
PPM019855	PGS004144 (sbayesr.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.71118 [1.62972275, 1.79670385] β: 0.53718 [0.48840991, 0.58595379]	AUROC: 0.64835 [0.6350971, 0.6616103]	R²: 0.04986 [0.04116439, 0.05898409]	beta = log(or)/sd_pgs
PPM019856	PGS004161 (UKBB_EnsPGS.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.2779 [0.25051657, 0.3052795]	—	R²: 0.07723 [0.06275855, 0.09319558]	beta = sd_trait/sd_pgs = pearson correlation
PPM019857	PGS004161 (UKBB_EnsPGS.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.26797 [0.24789144, 0.28805852]	—	R²: 0.07181 [0.06145017, 0.08297771]	beta = sd_trait/sd_pgs = pearson correlation
PPM019858	PGS004161 (UKBB_EnsPGS.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.30227 [0.29590981, 0.30862317]	—	R²: 0.09176 [0.08794303, 0.09566207]	beta = sd_trait/sd_pgs = pearson correlation
PPM019859	PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.58633 [1.55514284, 1.61814299] β: 0.46142 [0.4415674, 0.48127919]	AUROC: 0.62831 [0.6229153, 0.63370527]	R²: 0.03719 [0.03415172, 0.04039102]	beta = log(or)/sd_pgs
PPM019860	PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.67706 [1.64102293, 1.7138973] β: 0.51704 [0.49531979, 0.5387699]	AUROC: 0.64138 [0.63546764, 0.64728649]	R²: 0.0462 [0.04249866, 0.05008491]	beta = log(or)/sd_pgs
PPM019861	PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.88658 [1.67776302, 2.12137562] β: 0.63476 [0.51746137, 0.75206476]	AUROC: 0.67375 [0.64050174, 0.70699963]	R²: 0.06016 [0.03975697, 0.08755767]	beta = log(or)/sd_pgs
PPM019862	PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.73594 [1.6432463, 1.83385812] β: 0.55155 [0.49667374, 0.60642201]	AUROC: 0.64949 [0.63429385, 0.66468969]	R²: 0.05365 [0.04346827, 0.06503954]	beta = log(or)/sd_pgs
PPM019863	PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.63885 [1.42689784, 1.88228328] β: 0.49399 [0.35550274, 0.63248555]	AUROC: 0.64125 [0.60466534, 0.6778419]	R²: 0.03655 [0.02001596, 0.06011736]	beta = log(or)/sd_pgs
PPM019864	PGS004160 (UKBB_EnsPGS.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 2.04859 [1.95027604, 2.15186105] β: 0.71715 [0.66797092, 0.76633307]	AUROC: 0.69364 [0.68102136, 0.70626138]	R²: 0.08928 [0.07728456, 0.10150747]	beta = log(or)/sd_pgs
PPM019865	PGS004032 (ldpred2.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.47805 [1.44942745, 1.50723722] β: 0.39072 [0.37116862, 0.41027832]	AUROC: 0.61135 [0.60592756, 0.61677156]	R²: 0.02729 [0.02475205, 0.02994371]	beta = log(or)/sd_pgs
PPM019866	PGS004032 (ldpred2.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.53483 [1.50324014, 1.56708279] β: 0.42842 [0.40762287, 0.4492158]	AUROC: 0.62625 [0.62034982, 0.63215096]	R²: 0.03433 [0.03116476, 0.03772653]	beta = log(or)/sd_pgs
PPM019867	PGS004033 (ldpred2.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.18346 [0.15543861, 0.21147949]	—	R²: 0.03366 [0.02416116, 0.04472358]	beta = sd_trait/sd_pgs = pearson correlation
PPM019868	PGS004032 (ldpred2.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.58389 [1.41610338, 1.77156523] β: 0.45989 [0.347909, 0.57186347]	AUROC: 0.64069 [0.60865394, 0.67272659]	R²: 0.03455 [0.02097531, 0.05403341]	beta = log(or)/sd_pgs
PPM019869	PGS004032 (ldpred2.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.63475 [1.54839728, 1.7259287] β: 0.49149 [0.43722038, 0.54576528]	AUROC: 0.63753 [0.62222285, 0.65284223]	R²: 0.04322 [0.03448095, 0.05384101]	beta = log(or)/sd_pgs
PPM019870	PGS004033 (ldpred2.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.19643 [0.17598586, 0.21686558]	—	R²: 0.03858 [0.03097102, 0.04703068]	beta = sd_trait/sd_pgs = pearson correlation
PPM019871	PGS004032 (ldpred2.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.38725 [1.21445631, 1.58463966] β: 0.32733 [0.19429649, 0.46035704]	AUROC: 0.60013 [0.56195347, 0.6383116]	R²: 0.01729 [0.00666394, 0.03494065]	beta = log(or)/sd_pgs
PPM019872	PGS004033 (ldpred2.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.27115 [0.2647393, 0.27756947]	—	R²: 0.07393 [0.07047269, 0.0774689]	beta = sd_trait/sd_pgs = pearson correlation
PPM019873	PGS004032 (ldpred2.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.91462 [1.82228241, 2.01164265] β: 0.64952 [0.60008979, 0.69895163]	AUROC: 0.67556 [0.66283987, 0.68827246]	R²: 0.07211 [0.0623581, 0.08326706]	beta = log(or)/sd_pgs
PPM019874	PGS004076 (megaprs.CV.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.55746 [1.52659143, 1.588943] β: 0.44305 [0.42303743, 0.46306902]	AUROC: 0.62255 [0.61712778, 0.62796325]	R²: 0.03369 [0.03072073, 0.03678978]	beta = log(or)/sd_pgs
PPM019875	PGS004076 (megaprs.CV.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.63709 [1.60165217, 1.67331416] β: 0.49292 [0.4710357, 0.51480619]	AUROC: 0.63435 [0.62841613, 0.64028998]	R²: 0.04132 [0.03772231, 0.0451372]	beta = log(or)/sd_pgs
PPM019876	PGS004076 (megaprs.CV.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.76885 [1.56999296, 1.99289664] β: 0.57033 [0.45107113, 0.68958918]	AUROC: 0.65631 [0.62346318, 0.68914999]	R²: 0.04696 [0.02929894, 0.06996635]	beta = log(or)/sd_pgs
PPM019877	PGS004076 (megaprs.CV.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.67754 [1.58726039, 1.77295071] β: 0.51733 [0.46200951, 0.57264522]	AUROC: 0.6403 [0.62501992, 0.65557844]	R²: 0.04641 [0.03664355, 0.05688366]	beta = log(or)/sd_pgs
PPM019878	PGS004076 (megaprs.CV.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.63078 [1.4171248, 1.87664734] β: 0.48906 [0.34863003, 0.62948686]	AUROC: 0.63404 [0.59737873, 0.67070965]	R²: 0.03487 [0.01866348, 0.05635125]	beta = log(or)/sd_pgs
PPM019880	PGS004060 (megaprs.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.53017 [1.50008721, 1.56084988] β: 0.42538 [0.40552324, 0.44523047]	AUROC: 0.61882 [0.6134153, 0.62422705]	R²: 0.03153 [0.02875943, 0.03436584]	beta = log(or)/sd_pgs
PPM019881	PGS004060 (megaprs.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.6092 [1.57459822, 1.64456598] β: 0.47574 [0.45400014, 0.49747651]	AUROC: 0.63035 [0.62439951, 0.63629992]	R²: 0.03899 [0.0353408, 0.04275596]	beta = log(or)/sd_pgs
PPM019882	PGS004061 (megaprs.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.24798 [0.22036647, 0.27559428]	—	R²: 0.06149 [0.04856138, 0.07595221]	beta = sd_trait/sd_pgs = pearson correlation
PPM019883	PGS004060 (megaprs.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.8073 [1.60682558, 2.0327773] β: 0.59183 [0.47426054, 0.70940299]	AUROC: 0.658 [0.62479021, 0.69120292]	R²: 0.05199 [0.03301841, 0.07720171]	beta = log(or)/sd_pgs
PPM019884	PGS004060 (megaprs.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.64854 [1.56050003, 1.74153889] β: 0.49989 [0.4450063, 0.55476914]	AUROC: 0.63546 [0.62022561, 0.65070255]	R²: 0.04402 [0.03463433, 0.05453798]	beta = log(or)/sd_pgs
PPM019885	PGS004061 (megaprs.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.24495 [0.22474148, 0.26516327]	—	R²: 0.06 [0.05050873, 0.07031156]	beta = sd_trait/sd_pgs = pearson correlation
PPM019886	PGS004060 (megaprs.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.59359 [1.38600013, 1.83228137] β: 0.46599 [0.32642199, 0.60556184]	AUROC: 0.6307 [0.59360157, 0.66779981]	R²: 0.03197 [0.0164632, 0.05358144]	beta = log(or)/sd_pgs
PPM019887	PGS004061 (megaprs.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.26687 [0.26044724, 0.27328703]	—	R²: 0.07168 [0.06826961, 0.07516678]	beta = sd_trait/sd_pgs = pearson correlation
PPM019888	PGS004060 (megaprs.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.94028 [1.8473982, 2.03783127] β: 0.66283 [0.61377827, 0.71188614]	AUROC: 0.67988 [0.66700048, 0.69275204]	R²: 0.07649 [0.0656932, 0.08849356]	beta = log(or)/sd_pgs
PPM019889	PGS004077 (megaprs.CV.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.24953 [0.22193025, 0.27713533]	—	R²: 0.06227 [0.04925304, 0.07680399]	beta = sd_trait/sd_pgs = pearson correlation
PPM019890	PGS004077 (megaprs.CV.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.25448 [0.23431974, 0.27463909]	—	R²: 0.06476 [0.05490574, 0.07542663]	beta = sd_trait/sd_pgs = pearson correlation
PPM019891	PGS004077 (megaprs.CV.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.27905 [0.27264222, 0.28544879]	—	R²: 0.07822 [0.07467105, 0.08185071]	beta = sd_trait/sd_pgs = pearson correlation
PPM019892	PGS004090 (prscs.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.50656 [1.4770127, 1.53670279] β: 0.40983 [0.39002161, 0.42963908]	AUROC: 0.61412 [0.60867971, 0.6195505]	R²: 0.02935 [0.0264917, 0.03221544]	beta = log(or)/sd_pgs
PPM019893	PGS004090 (prscs.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.57446 [1.54113727, 1.6085108] β: 0.45391 [0.43252063, 0.47530878]	AUROC: 0.62759 [0.62167074, 0.63350476]	R²: 0.03659 [0.03336628, 0.04016573]	beta = log(or)/sd_pgs
PPM019894	PGS004091 (prscs.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.21095 [0.18308372, 0.23880935]	—	R²: 0.0445 [0.03351965, 0.05702991]	beta = sd_trait/sd_pgs = pearson correlation
PPM019895	PGS004090 (prscs.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.6051 [1.43777582, 1.79189327] β: 0.47319 [0.36309735, 0.58327276]	AUROC: 0.64794 [0.61558799, 0.68028938]	R²: 0.03789 [0.02375694, 0.05753989]	beta = log(or)/sd_pgs
PPM019896	PGS004090 (prscs.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.68882 [1.59854598, 1.78420045] β: 0.52403 [0.46909445, 0.57897039]	AUROC: 0.64358 [0.62830261, 0.65884976]	R²: 0.04815 [0.03800642, 0.05987907]	beta = log(or)/sd_pgs
PPM019898	PGS004090 (prscs.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.42666 [1.24950082, 1.62894582] β: 0.35534 [0.22274413, 0.48793307]	AUROC: 0.60372 [0.56599306, 0.64143699]	R²: 0.02055 [0.00854764, 0.03982996]	beta = log(or)/sd_pgs
PPM019899	PGS004091 (prscs.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.27156 [0.26512477, 0.2779935]	—	R²: 0.07372 [0.07027072, 0.07725793]	beta = sd_trait/sd_pgs = pearson correlation
PPM019900	PGS004090 (prscs.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.93464 [1.84074674, 2.0333239] β: 0.65992 [0.61017133, 0.70967184]	AUROC: 0.67913 [0.66635006, 0.69191546]	R²: 0.07359 [0.06379846, 0.08460611]	beta = log(or)/sd_pgs
PPM019901	PGS004006 (lassosum.auto.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.49846 [1.46895344, 1.52856521] β: 0.40444 [0.3845502, 0.42432952]	AUROC: 0.61139 [0.6059267, 0.61685356]	R²: 0.02834 [0.02572566, 0.03109812]	beta = log(or)/sd_pgs
PPM019902	PGS004006 (lassosum.auto.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.5767 [1.54251824, 1.61164347] β: 0.45534 [0.4334163, 0.47725445]	AUROC: 0.62418 [0.61822596, 0.63013606]	R²: 0.03508 [0.03198275, 0.03843837]	beta = log(or)/sd_pgs
PPM019903	PGS004007 (lassosum.auto.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.23632 [0.20861819, 0.26401198]	—	R²: 0.05584 [0.04352155, 0.06970232]	beta = sd_trait/sd_pgs = pearson correlation
PPM019904	PGS004006 (lassosum.auto.GCST008972.Gout)	PSS011240\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.75393 [1.5674717, 1.96256115] β: 0.56186 [0.44946394, 0.67425033]	AUROC: 0.6625 [0.6303573, 0.69464741]	R²: 0.05113 [0.03330047, 0.07357171]	beta = log(or)/sd_pgs
PPM019905	PGS004006 (lassosum.auto.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.67964 [1.58941385, 1.7749857] β: 0.51858 [0.4633653, 0.57379237]	AUROC: 0.64189 [0.62661727, 0.65717246]	R²: 0.04669 [0.03718541, 0.05775473]	beta = log(or)/sd_pgs
PPM019906	PGS004007 (lassosum.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.22465 [0.20433494, 0.24496122]	—	R²: 0.05047 [0.04175277, 0.060006]	beta = sd_trait/sd_pgs = pearson correlation
PPM019907	PGS004006 (lassosum.auto.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.48465 [1.29629197, 1.70037153] β: 0.39518 [0.25950786, 0.53084677]	AUROC: 0.61317 [0.57469316, 0.6516567]	R²: 0.0243 [0.01144191, 0.04463486]	beta = log(or)/sd_pgs
PPM019908	PGS004007 (lassosum.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.26029 [0.25386772, 0.26671104]	—	R²: 0.06839 [0.06505772, 0.07180685]	beta = sd_trait/sd_pgs = pearson correlation
PPM019909	PGS004006 (lassosum.auto.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.89517 [1.80393859, 1.99101416] β: 0.63931 [0.58997238, 0.68864414]	AUROC: 0.67208 [0.65927545, 0.68488472]	R²: 0.07019 [0.06041743, 0.08105186]	beta = log(or)/sd_pgs
PPM019910	PGS004018 (lassosum.CV.GCST008972.Gout)	PSS011217\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.53836 [1.50802855, 1.56930545] β: 0.43072 [0.4108032, 0.45063313]	AUROC: 0.61924 [0.61380597, 0.62466537]	R²: 0.03213 [0.02926203, 0.03505972]	beta = log(or)/sd_pgs
PPM019911	PGS004018 (lassosum.CV.GCST008972.Gout)	PSS011229\| European Ancestry\| 257,781 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.63119 [1.59590072, 1.66726636] β: 0.48931 [0.46743829, 0.51118537]	AUROC: 0.63337 [0.62746646, 0.63927731]	R²: 0.04076 [0.03719796, 0.04435327]	beta = log(or)/sd_pgs
PPM019913	PGS004018 (lassosum.CV.GCST008972.Gout)	PSS011256\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.68276 [1.59241931, 1.77823335] β: 0.52044 [0.46525444, 0.57562037]	AUROC: 0.64061 [0.62532416, 0.65589283]	R²: 0.04715 [0.03735175, 0.0580339]	beta = log(or)/sd_pgs
PPM019914	PGS004018 (lassosum.CV.GCST008972.Gout)	PSS011284\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.54257 [1.34191436, 1.77321851] β: 0.43345 [0.29409722, 0.57279626]	AUROC: 0.61717 [0.57810375, 0.65622867]	R²: 0.02774 [0.0130094, 0.04996791]	beta = log(or)/sd_pgs
PPM019915	PGS004018 (lassosum.CV.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.92725 [1.83410794, 2.02512903] β: 0.6561 [0.60655822, 0.70563342]	AUROC: 0.67787 [0.6651126, 0.69062341]	R²: 0.07344 [0.06260289, 0.08465123]	beta = log(or)/sd_pgs
PPM019916	PGS004019 (lassosum.CV.GCST008972.Urate)	PSS011250\| European Ancestry\| 4,730 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.26269 [0.23518964, 0.29019594]	—	R²: 0.06901 [0.05531417, 0.08421369]	beta = sd_trait/sd_pgs = pearson correlation
PPM019917	PGS004019 (lassosum.CV.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.24751 [0.22731178, 0.26770649]	—	R²: 0.06126 [0.05167065, 0.07166676]	beta = sd_trait/sd_pgs = pearson correlation
PPM019918	PGS004019 (lassosum.CV.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.27253 [0.26611854, 0.27893551]	—	R²: 0.07477 [0.07129106, 0.07832356]	beta = sd_trait/sd_pgs = pearson correlation
PPM019919	PGS004116 (pt_clump.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.27295 [1.16877898, 1.38640714] β: 0.24134 [0.1559596, 0.32671561]	AUROC: 0.57002 [0.54493965, 0.59509681]	R²: 0.00829 [0.00313542, 0.01593775]	beta = log(or)/sd_pgs
PPM019920	PGS004116 (pt_clump.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.2393 [1.21794864, 1.26102083] β: 0.21454 [0.197168, 0.23192158]	AUROC: 0.5606 [0.55574503, 0.56545085]	R²: 0.00659 [0.00548578, 0.00774337]	beta = log(or)/sd_pgs
PPM019921	PGS004116 (pt_clump.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.44592 [1.3726573, 1.52309192] β: 0.36875 [0.3167485, 0.42074243]	AUROC: 0.60208 [0.58755709, 0.61660009]	R²: 0.01898 [0.01397656, 0.02489353]	beta = log(or)/sd_pgs
PPM019922	PGS003992 (dbslmm.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.36764 [1.25914746, 1.48548255] β: 0.31309 [0.23043487, 0.39573967]	AUROC: 0.58889 [0.56427113, 0.61350965]	R²: 0.0149 [0.00821494, 0.02493823]	beta = log(or)/sd_pgs
PPM019923	PGS003992 (dbslmm.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.33446 [1.31203429, 1.35726497] β: 0.28853 [0.27157882, 0.30547162]	AUROC: 0.58137 [0.57651307, 0.5862179]	R²: 0.01256 [0.01098677, 0.01400605]	beta = log(or)/sd_pgs
PPM019924	PGS003992 (dbslmm.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.59974 [1.52182949, 1.6816393] β: 0.46984 [0.41991323, 0.51976909]	AUROC: 0.6315 [0.61718444, 0.64582464]	R²: 0.03367 [0.02663668, 0.04154769]	beta = log(or)/sd_pgs
PPM019931	PGS004062 (megaprs.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.46172 [1.35265857, 1.57957283] β: 0.37961 [0.30207197, 0.45715445]	AUROC: 0.60579 [0.58137466, 0.63020687]	R²: 0.02494 [0.01482857, 0.03780255]	beta = log(or)/sd_pgs
PPM019933	PGS004062 (megaprs.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.73895 [1.66108385, 1.82046629] β: 0.55328 [0.50747031, 0.59909267]	AUROC: 0.66036 [0.64617344, 0.67454912]	R²: 0.05664 [0.04705507, 0.0684223]	beta = log(or)/sd_pgs
PPM019934	PGS004092 (prscs.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.50751 [1.39408288, 1.63015587] β: 0.41046 [0.33223677, 0.48867563]	AUROC: 0.61363 [0.58940298, 0.63785059]	R²: 0.02861 [0.0178852, 0.04157816]	beta = log(or)/sd_pgs
PPM019935	PGS004092 (prscs.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.48977 [1.46572255, 1.51421327] β: 0.39862 [0.38234833, 0.41489601]	AUROC: 0.61238 [0.60749418, 0.61727359]	R²: 0.02623 [0.02395749, 0.02862116]	beta = log(or)/sd_pgs
PPM019936	PGS004092 (prscs.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.77852 [1.69732301, 1.86359553] β: 0.57578 [0.52905231, 0.6225077]	AUROC: 0.66492 [0.65074397, 0.67909054]	R²: 0.05886 [0.04942013, 0.07017009]	beta = log(or)/sd_pgs
PPM019937	PGS004008 (lassosum.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.42671 [1.32526095, 1.53593273] β: 0.35537 [0.28160939, 0.42913784]	AUROC: 0.59847 [0.57332316, 0.62362478]	R²: 0.02435 [0.01341092, 0.03701681]	beta = log(or)/sd_pgs
PPM019938	PGS004008 (lassosum.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.48397 [1.46157064, 1.50671708] β: 0.39472 [0.37951164, 0.40993316]	AUROC: 0.61454 [0.60960208, 0.61948354]	R²: 0.02982 [0.02725224, 0.03259812]	beta = log(or)/sd_pgs
PPM019939	PGS004008 (lassosum.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.73288 [1.65911417, 1.80992965] β: 0.54979 [0.50628383, 0.59328798]	AUROC: 0.66293 [0.64863592, 0.6772318]	R²: 0.06348 [0.05374272, 0.0761614]	beta = log(or)/sd_pgs
PPM019940	PGS004117 (pt_clump.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.50723 [1.38329925, 1.64225382] β: 0.41027 [0.32447141, 0.49606958]	AUROC: 0.61038 [0.58493393, 0.63583432]	R²: 0.01989 [0.01172729, 0.03067629]	beta = log(or)/sd_pgs
PPM019941	PGS004117 (pt_clump.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.76472 [1.7129685, 1.81804229] β: 0.56799 [0.53822783, 0.59776026]	AUROC: 0.65681 [0.64857862, 0.665043]	R²: 0.03778 [0.03378648, 0.04199483]	beta = log(or)/sd_pgs
PPM019942	PGS004117 (pt_clump.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.06976 [0.97430512, 1.17457159] β: 0.06744 [-0.0260308, 0.16090348]	AUROC: 0.51565 [0.4870758, 0.54421766]	R²: 0.00063 [0.0, 0.00417152]	beta = log(or)/sd_pgs
PPM019943	PGS004117 (pt_clump.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.21972 [1.10575245, 1.34542335] β: 0.19862 [0.10052606, 0.29670872]	AUROC: 0.55539 [0.52652748, 0.58425862]	R²: 0.00453 [0.00106382, 0.01025734]	beta = log(or)/sd_pgs
PPM019944	PGS004117 (pt_clump.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.8907 [1.65320815, 2.16231652] β: 0.63695 [0.50271774, 0.77118011]	AUROC: 0.67867 [0.64177739, 0.71555632]	R²: 0.04884 [0.02894078, 0.07332714]	beta = log(or)/sd_pgs
PPM019945	PGS004132 (pt_clump_nested.CV.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.53997 [1.41224358, 1.67924688] β: 0.43176 [0.34517963, 0.5183454]	AUROC: 0.61637 [0.59140768, 0.64133337]	R²: 0.02164 [0.01297279, 0.03167858]	beta = log(or)/sd_pgs
PPM019946	PGS004132 (pt_clump_nested.CV.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.83108 [1.77691147, 1.88689599] β: 0.6049 [0.57487673, 0.63493314]	AUROC: 0.66566 [0.65750331, 0.67382366]	R²: 0.04216 [0.03803437, 0.04646488]	beta = log(or)/sd_pgs
PPM019947	PGS004132 (pt_clump_nested.CV.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.10378 [1.00525324, 1.21196356] β: 0.09874 [0.00523949, 0.19224182]	AUROC: 0.52426 [0.49592976, 0.5525963]	R²: 0.00135 [0.0, 0.00571968]	beta = log(or)/sd_pgs
PPM019948	PGS004132 (pt_clump_nested.CV.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.23285 [1.11742884, 1.36018681] β: 0.20933 [0.11103037, 0.30762205]	AUROC: 0.5572 [0.52793354, 0.58646596]	R²: 0.00501 [0.00118351, 0.01159794]	beta = log(or)/sd_pgs
PPM019949	PGS004132 (pt_clump_nested.CV.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.87052 [1.63223449, 2.14359629] β: 0.62622 [0.48994993, 0.76248493]	AUROC: 0.67437 [0.63811128, 0.71062785]	R²: 0.04581 [0.02667374, 0.06787352]	beta = log(or)/sd_pgs
PPM019950	PGS003993 (dbslmm.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.95715 [1.81292462, 2.11285989] β: 0.67149 [0.59494135, 0.74804243]	AUROC: 0.6973 [0.67432957, 0.72027485]	R²: 0.06925 [0.05366269, 0.08783238]	beta = log(or)/sd_pgs
PPM019951	PGS003993 (dbslmm.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.37817 [2.30792027, 2.45056467] β: 0.86633 [0.8363468, 0.89631847]	AUROC: 0.73364 [0.7261439, 0.74113326]	R²: 0.08844 [0.08240615, 0.09429924]	beta = log(or)/sd_pgs
PPM019952	PGS003993 (dbslmm.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.02806 [0.93617919, 1.12896592] β: 0.02768 [-0.0659484, 0.1213021]	AUROC: 0.49306 [0.46664532, 0.51946756]	R²: 0.00011 [0.0, 0.00201222]	beta = log(or)/sd_pgs
PPM019953	PGS003993 (dbslmm.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.35954 [1.23424263, 1.49756477] β: 0.30715 [0.21045753, 0.4038403]	AUROC: 0.58092 [0.55093059, 0.61090482]	R²: 0.01115 [0.00472683, 0.02038956]	beta = log(or)/sd_pgs
PPM019954	PGS003993 (dbslmm.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.40714 [2.12613109, 2.72529613] β: 0.87844 [0.75430394, 1.0025771]	AUROC: 0.7438 [0.70604081, 0.78155137]	R²: 0.11521 [0.08261093, 0.15365125]	beta = log(or)/sd_pgs
PPM019956	PGS004147 (sbayesr.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.08691 [2.02370949, 2.15207932] β: 0.73568 [0.70493221, 0.7664345]	AUROC: 0.69901 [0.69126203, 0.70676702]	R²: 0.05973 [0.05525799, 0.06439209]	beta = log(or)/sd_pgs
PPM019957	PGS004147 (sbayesr.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 0.97765 [0.89040095, 1.07344813] β: -0.0226 [-0.1160834, 0.07087602]	AUROC: 0.50592 [0.47842074, 0.53342715]	R²: 7e-05 [0.0, 0.00178835]	beta = log(or)/sd_pgs
PPM019958	PGS004147 (sbayesr.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.32037 [1.19592399, 1.45777215] β: 0.27791 [0.1789191, 0.37690935]	AUROC: 0.5779 [0.54954499, 0.60625601]	R²: 0.0087 [0.00397942, 0.01569235]	beta = log(or)/sd_pgs
PPM019959	PGS004147 (sbayesr.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.73561 [1.51150462, 1.99293821] β: 0.55136 [0.41310559, 0.68961004]	AUROC: 0.6586 [0.61898315, 0.69821584]	R²: 0.03445 [0.01835972, 0.05461851]	beta = log(or)/sd_pgs
PPM019960	PGS004162 (UKBB_EnsPGS.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.35332 [2.16304039, 2.56032867] β: 0.85583 [0.77151482, 0.94013564]	AUROC: 0.71754 [0.69281899, 0.74226865]	R²: 0.09161 [0.07185892, 0.11449842]	beta = log(or)/sd_pgs
PPM019961	PGS004162 (UKBB_EnsPGS.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.27887 [2.20957694, 2.35033807] β: 0.82368 [0.79280107, 0.85455918]	AUROC: 0.71873 [0.71109285, 0.72636337]	R²: 0.07462 [0.06945443, 0.08005629]	beta = log(or)/sd_pgs
PPM019962	PGS004162 (UKBB_EnsPGS.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.0051 [0.915294, 1.10371927] β: 0.00509 [-0.08851, 0.09868564]	AUROC: 0.50466 [0.47785708, 0.53145331]	R²: 3.57e-06 [0.0, 0.00127941]	beta = log(or)/sd_pgs
PPM019963	PGS004162 (UKBB_EnsPGS.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.43168 [1.29788795, 1.57925912] β: 0.35885 [0.26073829, 0.45695583]	AUROC: 0.58479 [0.5557021, 0.61387243]	R²: 0.01478 [0.00756708, 0.02570015]	beta = log(or)/sd_pgs
PPM019964	PGS004162 (UKBB_EnsPGS.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.88687 [2.52605474, 3.29923292] β: 1.06017 [0.92665869, 1.19368999]	AUROC: 0.77124 [0.73430954, 0.80816383]	R²: 0.14125 [0.10181365, 0.18523438]	beta = log(or)/sd_pgs
PPM019965	PGS004035 (ldpred2.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.32281 [2.13168407, 2.53107946] β: 0.84278 [0.75691231, 0.92864588]	AUROC: 0.71195 [0.68696399, 0.73694375]	R²: 0.0847 [0.06629693, 0.10703174]	beta = log(or)/sd_pgs
PPM019966	PGS004035 (ldpred2.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.04799 [1.98592622, 2.11200077] β: 0.71686 [0.68608541, 0.74763573]	AUROC: 0.69176 [0.68386243, 0.69965429]	R²: 0.05646 [0.05209086, 0.06140139]	beta = log(or)/sd_pgs
PPM019967	PGS004035 (ldpred2.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.00124 [0.9117887, 1.09947388] β: 0.00124 [-0.092347, 0.09483178]	AUROC: 0.50968 [0.48325371, 0.53611056]	R²: 2.13e-07 [0.0, 0.00104871]	beta = log(or)/sd_pgs
PPM019968	PGS004035 (ldpred2.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.41811 [1.28793383, 1.56143556] β: 0.34932 [0.25303925, 0.44560563]	AUROC: 0.5837 [0.55391495, 0.61347751]	R²: 0.01451 [0.00709685, 0.02594541]	beta = log(or)/sd_pgs
PPM019969	PGS004035 (ldpred2.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.67223 [2.33127749, 3.06303713] β: 0.98291 [0.8464164, 1.11940695]	AUROC: 0.74858 [0.71080109, 0.78636453]	R²: 0.11349 [0.08057329, 0.1513995]	beta = log(or)/sd_pgs
PPM019970	PGS004063 (megaprs.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.96796 [1.8152611, 2.13351315] β: 0.677 [0.59622931, 0.75776999]	AUROC: 0.68845 [0.66493994, 0.71195684]	R²: 0.06145 [0.0466906, 0.07846122]	beta = log(or)/sd_pgs
PPM019971	PGS004063 (megaprs.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.98877 [1.93780812, 2.04107353] β: 0.68752 [0.6615575, 0.71347591]	AUROC: 0.71357 [0.70595937, 0.72117434]	R²: 0.0733 [0.06778529, 0.07934817]	beta = log(or)/sd_pgs
PPM019972	PGS004063 (megaprs.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 0.99583 [0.90679351, 1.09360849] β: -0.00418 [-0.0978405, 0.08948277]	AUROC: 0.50552 [0.47751517, 0.53351676]	R²: 2.41e-06 [0.0, 0.00132293]	beta = log(or)/sd_pgs
PPM019973	PGS004063 (megaprs.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.34209 [1.2160386, 1.48119754] β: 0.29422 [0.19559853, 0.39285091]	AUROC: 0.57505 [0.54588165, 0.60422019]	R²: 0.00983 [0.00444222, 0.01812082]	beta = log(or)/sd_pgs
PPM019974	PGS004063 (megaprs.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.32027 [2.05513583, 2.61961025] β: 0.84168 [0.72034195, 0.96302555]	AUROC: 0.73583 [0.6992247, 0.77242674]	R²: 0.10657 [0.0731231, 0.14722601]	beta = log(or)/sd_pgs
PPM019975	PGS004078 (megaprs.CV.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.10311 [1.93487496, 2.28597324] β: 0.74342 [0.6600427, 0.82679186]	AUROC: 0.69475 [0.67006258, 0.71942771]	R²: 0.06975 [0.05276804, 0.08919338]	beta = log(or)/sd_pgs
PPM019976	PGS004078 (megaprs.CV.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.14067 [2.07613635, 2.20720948] β: 0.76112 [0.73050864, 0.79172904]	AUROC: 0.70513 [0.69736383, 0.71288732]	R²: 0.06481 [0.059934, 0.06970825]	beta = log(or)/sd_pgs
PPM019977	PGS004078 (megaprs.CV.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.00042 [0.91103711, 1.09857896] β: 0.00042 [-0.0931716, 0.09401749]	AUROC: 0.50146 [0.4742843, 0.52864086]	R²: 2.47e-08 [0.0, 0.00110175]	beta = log(or)/sd_pgs
PPM019979	PGS004078 (megaprs.CV.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.67623 [2.34580171, 3.0531938] β: 0.98441 [0.85262722, 1.11618819]	AUROC: 0.75808 [0.72109039, 0.79506729]	R²: 0.12382 [0.0893776, 0.1626812]	beta = log(or)/sd_pgs
PPM019980	PGS004102 (prscs.CV.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.98839 [1.83886186, 2.15008348] β: 0.68733 [0.60914683, 0.76550667]	AUROC: 0.69368 [0.66982956, 0.71752171]	R²: 0.06902 [0.05359352, 0.08756059]	beta = log(or)/sd_pgs
PPM019981	PGS004102 (prscs.CV.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.45742 [2.38456802, 2.53249357] β: 0.89911 [0.86901799, 0.92920442]	AUROC: 0.74072 [0.73326604, 0.7481693]	R²: 0.09498 [0.08910449, 0.1012516]	beta = log(or)/sd_pgs
PPM019982	PGS004102 (prscs.CV.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 0.99231 [0.90364856, 1.08967257] β: -0.00772 [-0.1013148, 0.08587725]	AUROC: 0.50262 [0.47587981, 0.52935952]	R²: 8.22e-06 [0.0, 0.00119328]	beta = log(or)/sd_pgs
PPM019983	PGS004102 (prscs.CV.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.42533 [1.29225034, 1.57211911] β: 0.3544 [0.25638515, 0.45242446]	AUROC: 0.59074 [0.56115377, 0.62033237]	R²: 0.01445 [0.00709941, 0.02487634]	beta = log(or)/sd_pgs
PPM019984	PGS004102 (prscs.CV.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.43145 [2.14880751, 2.75126545] β: 0.88849 [0.76491304, 1.01206097]	AUROC: 0.74705 [0.70995893, 0.78413594]	R²: 0.1179 [0.08420483, 0.15729309]	beta = log(or)/sd_pgs
PPM019985	PGS004093 (prscs.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.96153 [1.81511617, 2.11974641] β: 0.67372 [0.59614947, 0.75129646]	AUROC: 0.69109 [0.66721361, 0.71496653]	R²: 0.06749 [0.05179939, 0.08606836]	beta = log(or)/sd_pgs
PPM019986	PGS004093 (prscs.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.44508 [2.37411415, 2.51816059] β: 0.89408 [0.86462438, 0.92352871]	AUROC: 0.74221 [0.7347773, 0.74964128]	R²: 0.09841 [0.09204504, 0.10511922]	beta = log(or)/sd_pgs
PPM019987	PGS004093 (prscs.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.0158 [0.92505185, 1.11545962] β: 0.01568 [-0.0779055, 0.10926654]	AUROC: 0.49721 [0.47051134, 0.52391261]	R²: 3e-05 [0.0, 0.00165456]	beta = log(or)/sd_pgs
PPM019988	PGS004093 (prscs.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.42395 [1.29147627, 1.57000849] β: 0.35343 [0.25578596, 0.45108103]	AUROC: 0.58948 [0.55985079, 0.61910169]	R²: 0.01448 [0.00713355, 0.02556907]	beta = log(or)/sd_pgs
PPM019989	PGS004093 (prscs.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.39116 [2.11480155, 2.70363906] β: 0.87178 [0.74896098, 0.99459867]	AUROC: 0.74365 [0.70655591, 0.78075248]	R²: 0.11538 [0.08154941, 0.15461483]	beta = log(or)/sd_pgs
PPM019990	PGS004020 (lassosum.CV.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.96291 [1.8158394, 2.12190093] β: 0.67443 [0.59654784, 0.75231235]	AUROC: 0.69707 [0.6741702, 0.71996442]	R²: 0.06768 [0.05283665, 0.08590187]	beta = log(or)/sd_pgs
PPM019991	PGS004020 (lassosum.CV.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.44728 [2.37432767, 2.52248258] β: 0.89498 [0.86471431, 0.92524357]	AUROC: 0.73762 [0.73014965, 0.74509755]	R²: 0.0929 [0.08697873, 0.09927932]	beta = log(or)/sd_pgs
PPM019992	PGS004020 (lassosum.CV.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.02458 [0.93312347, 1.12499983] β: 0.02428 [-0.0692177, 0.11778288]	AUROC: 0.51003 [0.4834716, 0.5365786]	R²: 8e-05 [0.0, 0.00192444]	beta = log(or)/sd_pgs
PPM019993	PGS004020 (lassosum.CV.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.42499 [1.29448907, 1.56865336] β: 0.35417 [0.25811607, 0.45021752]	AUROC: 0.59001 [0.56010026, 0.61992271]	R²: 0.01505 [0.00716292, 0.02582298]	beta = log(or)/sd_pgs
PPM019994	PGS004020 (lassosum.CV.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.34601 [2.07012734, 2.65865075] β: 0.85271 [0.72761012, 0.97781876]	AUROC: 0.7445 [0.70912362, 0.7798788]	R²: 0.10752 [0.07728308, 0.14325004]	beta = log(or)/sd_pgs
PPM019995	PGS004009 (lassosum.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.95016 [1.8039695, 2.10819938] β: 0.66791 [0.58998952, 0.74583421]	AUROC: 0.69542 [0.67251261, 0.71833611]	R²: 0.06635 [0.05145834, 0.08404252]	beta = log(or)/sd_pgs
PPM019996	PGS004009 (lassosum.auto.GCST90013445.T1D)	PSS011235\| European Ancestry\| 322,349 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.41964 [2.34758401, 2.49390831] β: 0.88362 [0.85338672, 0.91385108]	AUROC: 0.73427 [0.72674347, 0.74178811]	R²: 0.09058 [0.08466118, 0.09688729]	beta = log(or)/sd_pgs
PPM019997	PGS004009 (lassosum.auto.GCST90013445.T1D)	PSS011248\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.02716 [0.9355068, 1.12778739] β: 0.0268 [-0.0666669, 0.12025765]	AUROC: 0.51065 [0.48423163, 0.53706706]	R²: 0.0001 [0.0, 0.0020518]	beta = log(or)/sd_pgs
PPM019998	PGS004009 (lassosum.auto.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.41112 [1.28181566, 1.55346498] β: 0.34438 [0.24827756, 0.44048791]	AUROC: 0.58719 [0.55730466, 0.61706811]	R²: 0.01421 [0.00653265, 0.0245434]	beta = log(or)/sd_pgs
PPM019999	PGS004009 (lassosum.auto.GCST90013445.T1D)	PSS011277\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 2.32891 [2.05474726, 2.63965287] β: 0.8454 [0.72015285, 0.97064742]	AUROC: 0.74138 [0.70575103, 0.77699909]	R²: 0.10551 [0.07498107, 0.14145494]	beta = log(or)/sd_pgs
PPM020001	PGS004049 (ldpred2.CV.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.63972 [1.60628474, 1.67385776] β: 0.49453 [0.47392389, 0.515131]	AUROC: 0.6351 [0.62933904, 0.64086446]	R²: 0.0367 [0.03357391, 0.04012387]	beta = log(or)/sd_pgs
PPM020002	PGS004049 (ldpred2.CV.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.9896 [1.59472086, 2.48224985] β: 0.68793 [0.46669871, 0.90916534]	AUROC: 0.70565 [0.63333493, 0.77796963]	R²: 0.05367 [0.02290313, 0.09716264]	beta = log(or)/sd_pgs
PPM020003	PGS004049 (ldpred2.CV.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.54092 [1.45306104, 1.63408316] β: 0.43238 [0.37367239, 0.49108189]	AUROC: 0.61952 [0.60270134, 0.636339]	R²: 0.02797 [0.0211408, 0.03646128]	beta = log(or)/sd_pgs
PPM020004	PGS004049 (ldpred2.CV.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.36914 [2.07577111, 2.70396438] β: 0.86253 [0.73033271, 0.99471898]	AUROC: 0.72826 [0.69173398, 0.76478209]	R²: 0.122 [0.08216417, 0.16529108]	beta = log(or)/sd_pgs
PPM020005	PGS004118 (pt_clump.auto.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.33056 [1.27927587, 1.3839026] β: 0.2856 [0.24629419, 0.32490748]	AUROC: 0.57951 [0.56779004, 0.5912348]	R²: 0.01289 [0.00942678, 0.01683411]	beta = log(or)/sd_pgs
PPM020006	PGS004118 (pt_clump.auto.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.40296 [1.37512281, 1.43135987] β: 0.33858 [0.31854304, 0.35862495]	AUROC: 0.59425 [0.58836034, 0.60013257]	R²: 0.01808 [0.01603989, 0.02043251]	beta = log(or)/sd_pgs
PPM020007	PGS004118 (pt_clump.auto.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.70576 [1.31671088, 2.20977427] β: 0.53401 [0.27513687, 0.79289037]	AUROC: 0.65379 [0.59209129, 0.71549218]	R²: 0.02382 [0.00843075, 0.05003813]	beta = log(or)/sd_pgs
PPM020008	PGS004118 (pt_clump.auto.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.30274 [1.23029942, 1.37944872] β: 0.26447 [0.20725757, 0.32168394]	AUROC: 0.57047 [0.55330355, 0.58764034]	R²: 0.01098 [0.00635806, 0.01667243]	beta = log(or)/sd_pgs
PPM020009	PGS004118 (pt_clump.auto.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.56663 [1.37347647, 1.78694216] β: 0.44893 [0.31734509, 0.58050587]	AUROC: 0.62337 [0.58200096, 0.66473232]	R²: 0.03261 [0.0140955, 0.05548662]	beta = log(or)/sd_pgs
PPM020010	PGS004133 (pt_clump_nested.CV.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.34749 [1.29508225, 1.40201468] β: 0.29824 [0.25857421, 0.33791026]	AUROC: 0.58105 [0.56930556, 0.59279972]	R²: 0.0138 [0.01033525, 0.01782333]	beta = log(or)/sd_pgs
PPM020011	PGS004133 (pt_clump_nested.CV.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.43562 [1.40681814, 1.46501743] β: 0.3616 [0.34133052, 0.38186714]	AUROC: 0.59988 [0.59403334, 0.60572738]	R²: 0.02017 [0.01796729, 0.0226397]	beta = log(or)/sd_pgs
PPM020012	PGS004133 (pt_clump_nested.CV.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.54617 [1.19528898, 2.00006106] β: 0.43578 [0.17838798, 0.69317771]	AUROC: 0.6263 [0.55995128, 0.69265647]	R²: 0.01611 [0.00346998, 0.03792919]	beta = log(or)/sd_pgs
PPM020013	PGS004133 (pt_clump_nested.CV.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.33067 [1.25591817, 1.40986302] β: 0.28568 [0.22786692, 0.34349255]	AUROC: 0.57616 [0.55915512, 0.59316854]	R²: 0.01255 [0.00747678, 0.01866845]	beta = log(or)/sd_pgs
PPM020014	PGS004133 (pt_clump_nested.CV.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.49068 [1.30391606, 1.70419754] β: 0.39923 [0.26537209, 0.53309435]	AUROC: 0.60812 [0.56762836, 0.64860873]	R²: 0.02494 [0.01039785, 0.04545545]	beta = log(or)/sd_pgs
PPM020015	PGS003994 (dbslmm.auto.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.33393 [1.28094638, 1.3890998] β: 0.28813 [0.24759916, 0.32865591]	AUROC: 0.58064 [0.56883718, 0.59243732]	R²: 0.01224 [0.00905012, 0.0158579]	beta = log(or)/sd_pgs
PPM020017	PGS003994 (dbslmm.auto.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.37351 [1.09734382, 1.71919027] β: 0.31737 [0.09289255, 0.54185341]	AUROC: 0.57062 [0.49087135, 0.65037199]	R²: 0.01113 [0.000312, 0.040902]	beta = log(or)/sd_pgs
PPM020018	PGS003994 (dbslmm.auto.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.1176 [1.05475987, 1.18418315] β: 0.11118 [0.05331313, 0.16905321]	AUROC: 0.52923 [0.5116339, 0.54683125]	R²: 0.0019 [0.000371, 0.00466991]	beta = log(or)/sd_pgs
PPM020019	PGS003994 (dbslmm.auto.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.82399 [1.59169421, 2.09018269] β: 0.60103 [0.46479899, 0.73725147]	AUROC: 0.65883 [0.61913538, 0.6985174]	R²: 0.05369 [0.03020613, 0.08591409]	beta = log(or)/sd_pgs
PPM020020	PGS004148 (sbayesr.auto.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.39911 [1.3453147, 1.45504863] β: 0.33583 [0.29662796, 0.37503932]	AUROC: 0.5916 [0.57985369, 0.6033368]	R²: 0.01793 [0.01361181, 0.02247244]	beta = log(or)/sd_pgs
PPM020021	PGS004148 (sbayesr.auto.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.62873 [1.5962079, 1.66190947] β: 0.4878 [0.46763075, 0.50796722]	AUROC: 0.63399 [0.62818932, 0.6397817]	R²: 0.03731 [0.0341354, 0.04065053]	beta = log(or)/sd_pgs
PPM020022	PGS004148 (sbayesr.auto.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.86907 [1.45549233, 2.40017231] β: 0.62544 [0.37534421, 0.87554053]	AUROC: 0.67317 [0.61055743, 0.73578134]	R²: 0.03526 [0.01406596, 0.06823395]	beta = log(or)/sd_pgs
PPM020023	PGS004148 (sbayesr.auto.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.46527 [1.38341272, 1.55196664] β: 0.38204 [0.32455343, 0.43952293]	AUROC: 0.60487 [0.58809209, 0.62164016]	R²: 0.02273 [0.01613462, 0.03055882]	beta = log(or)/sd_pgs
PPM020024	PGS004148 (sbayesr.auto.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.74045 [1.52359433, 1.98817059] β: 0.55414 [0.42107223, 0.68721491]	AUROC: 0.66211 [0.62585476, 0.69836134]	R²: 0.04857 [0.02861608, 0.07522105]	beta = log(or)/sd_pgs
PPM020025	PGS004163 (UKBB_EnsPGS.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.64114 [1.57821035, 1.70658848] β: 0.49539 [0.45629151, 0.53449634]	AUROC: 0.63353 [0.62188573, 0.645168]	R²: 0.03944 [0.03314538, 0.04625298]	beta = log(or)/sd_pgs
PPM020026	PGS004163 (UKBB_EnsPGS.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.75402 [1.71840512, 1.79036854] β: 0.56191 [0.5413966, 0.58242149]	AUROC: 0.65279 [0.64709296, 0.6584935]	R²: 0.04802 [0.0444714, 0.05161881]	beta = log(or)/sd_pgs
PPM020027	PGS004163 (UKBB_EnsPGS.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.39078 [1.89563819, 3.0152594] β: 0.87162 [0.63955556, 1.10368586]	AUROC: 0.74329 [0.67891271, 0.80767425]	R²: 0.07939 [0.04017912, 0.13128156]	beta = log(or)/sd_pgs
PPM020028	PGS004163 (UKBB_EnsPGS.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.6676 [1.57316173, 1.76770414] β: 0.51138 [0.45308744, 0.56968161]	AUROC: 0.64052 [0.62389168, 0.65713902]	R²: 0.03977 [0.03083288, 0.04944259]	beta = log(or)/sd_pgs
PPM020029	PGS004163 (UKBB_EnsPGS.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.46183 [2.16199209, 2.8032592] β: 0.90091 [0.77103006, 1.03078274]	AUROC: 0.74695 [0.71319269, 0.78070209]	R²: 0.13759 [0.09865689, 0.18374268]	beta = log(or)/sd_pgs
PPM020030	PGS004079 (megaprs.CV.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.50199 [1.44431953, 1.56196832] β: 0.40679 [0.36763829, 0.44594677]	AUROC: 0.60873 [0.59700811, 0.62044991]	R²: 0.02641 [0.02099026, 0.03200156]	beta = log(or)/sd_pgs
PPM020031	PGS004079 (megaprs.CV.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.61696 [1.5839576, 1.65065666] β: 0.48055 [0.45992653, 0.50117319]	AUROC: 0.63145 [0.62565031, 0.63723984]	R²: 0.03458 [0.03148347, 0.03790002]	beta = log(or)/sd_pgs
PPM020032	PGS004079 (megaprs.CV.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.0218 [1.62249081, 2.51937283] β: 0.70399 [0.48396251, 0.92400999]	AUROC: 0.71409 [0.65011341, 0.77806995]	R²: 0.05539 [0.02757678, 0.09737164]	beta = log(or)/sd_pgs
PPM020033	PGS004079 (megaprs.CV.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.60515 [1.51334744, 1.70252754] β: 0.47322 [0.41432404, 0.53211394]	AUROC: 0.63076 [0.61433544, 0.64719353]	R²: 0.03332 [0.02538049, 0.04297958]	beta = log(or)/sd_pgs
PPM020035	PGS004064 (megaprs.auto.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.52285 [1.46263457, 1.58555171] β: 0.42059 [0.38023931, 0.46093243]	AUROC: 0.61325 [0.60161044, 0.62487979]	R²: 0.02644 [0.02106118, 0.03159975]	beta = log(or)/sd_pgs
PPM020036	PGS004064 (megaprs.auto.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.6765 [1.64253856, 1.71116433] β: 0.51671 [0.49624295, 0.53717403]	AUROC: 0.64169 [0.63597003, 0.64740127]	R²: 0.04068 [0.03737711, 0.04388012]	beta = log(or)/sd_pgs
PPM020037	PGS004064 (megaprs.auto.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.16519 [1.63058972, 2.87505923] β: 0.77251 [0.48894174, 1.05607327]	AUROC: 0.68659 [0.62306752, 0.75011928]	R²: 0.04033 [0.01968338, 0.06955001]	beta = log(or)/sd_pgs
PPM020038	PGS004064 (megaprs.auto.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.52777 [1.44093306, 1.6198353] β: 0.42381 [0.36529086, 0.48232448]	AUROC: 0.615 [0.59804531, 0.63195557]	R²: 0.02702 [0.01945086, 0.03541182]	beta = log(or)/sd_pgs
PPM020039	PGS004064 (megaprs.auto.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.12896 [1.86473669, 2.4306247] β: 0.75563 [0.62311986, 0.8881483]	AUROC: 0.71237 [0.67693105, 0.74780668]	R²: 0.09048 [0.06089994, 0.12628899]	beta = log(or)/sd_pgs
PPM020040	PGS004103 (prscs.CV.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.39977 [1.34410643, 1.45773885] β: 0.33631 [0.29572943, 0.3768865]	AUROC: 0.5924 [0.58070208, 0.60409508]	R²: 0.01668 [0.01284464, 0.02085219]	beta = log(or)/sd_pgs
PPM020041	PGS004103 (prscs.CV.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.43354 [1.40427497, 1.46341096] β: 0.36015 [0.33952114, 0.38076998]	AUROC: 0.60119 [0.59539073, 0.60698337]	R²: 0.01933 [0.01709073, 0.021498]	beta = log(or)/sd_pgs
PPM020042	PGS004103 (prscs.CV.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.62378 [1.29975822, 2.02858217] β: 0.48476 [0.26217827, 0.70733711]	AUROC: 0.64719 [0.57521551, 0.71916706]	R²: 0.0251 [0.00821845, 0.05577828]	beta = log(or)/sd_pgs
PPM020043	PGS004103 (prscs.CV.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.24983 [1.17898128, 1.32493323] β: 0.22301 [0.16465075, 0.28136206]	AUROC: 0.56468 [0.54783481, 0.58151937]	R²: 0.0075 [0.00402557, 0.01180133]	beta = log(or)/sd_pgs
PPM020044	PGS004103 (prscs.CV.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.9189 [1.67929657, 2.19269289] β: 0.65175 [0.51837499, 0.78513042]	AUROC: 0.67899 [0.6419829, 0.71598959]	R²: 0.06493 [0.04215202, 0.09455987]	beta = log(or)/sd_pgs
PPM020045	PGS004094 (prscs.auto.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.43309 [1.37789918, 1.49048299] β: 0.35983 [0.32056001, 0.39910022]	AUROC: 0.60175 [0.58999494, 0.61350437]	R²: 0.01993 [0.01570594, 0.02462764]	beta = log(or)/sd_pgs
PPM020046	PGS004094 (prscs.auto.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.64768 [1.61352054, 1.68256451] β: 0.49937 [0.47841846, 0.52031912]	AUROC: 0.63372 [0.62788781, 0.63955506]	R²: 0.03632 [0.03309896, 0.03953108]	beta = log(or)/sd_pgs
PPM020047	PGS004094 (prscs.auto.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.45841 [1.19873228, 1.77432944] β: 0.37734 [0.18126456, 0.57342257]	AUROC: 0.60742 [0.53398957, 0.68084175]	R²: 0.01948 [0.00432876, 0.05204534]	beta = log(or)/sd_pgs
PPM020048	PGS004094 (prscs.auto.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.30074 [1.2314019, 1.37398385] β: 0.26293 [0.20815328, 0.31771444]	AUROC: 0.58564 [0.56934416, 0.60192786]	R²: 0.01181 [0.00719488, 0.01742899]	beta = log(or)/sd_pgs
PPM020049	PGS004094 (prscs.auto.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.88898 [1.67167849, 2.13453009] β: 0.63604 [0.5138282, 0.75824653]	AUROC: 0.69466 [0.65809177, 0.73122596]	R²: 0.07313 [0.04487877, 0.10829372]	beta = log(or)/sd_pgs
PPM020050	PGS004010 (lassosum.auto.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.32987 [1.28121824, 1.38036919] β: 0.28508 [0.24781138, 0.32235099]	AUROC: 0.58517 [0.5735, 0.59683621]	R²: 0.01384 [0.01026836, 0.01752212]	beta = log(or)/sd_pgs
PPM020051	PGS004010 (lassosum.auto.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.49732 [1.46602685, 1.52927706] β: 0.40368 [0.38255592, 0.42479511]	AUROC: 0.60802 [0.60210105, 0.6139434]	R²: 0.02326 [0.02088065, 0.0257906]	beta = log(or)/sd_pgs
PPM020052	PGS004010 (lassosum.auto.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.28607 [1.08009867, 1.53131211] β: 0.25159 [0.0770524, 0.42612496]	AUROC: 0.59832 [0.52394235, 0.67270553]	R²: 0.01158 [0.00106957, 0.04053787]	beta = log(or)/sd_pgs
PPM020053	PGS004010 (lassosum.auto.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.18691 [1.12316952, 1.25426353] β: 0.17135 [0.11615461, 0.22654857]	AUROC: 0.55861 [0.54216624, 0.57505125]	R²: 0.00494 [0.00224141, 0.008649]	beta = log(or)/sd_pgs
PPM020054	PGS004010 (lassosum.auto.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.59047 [1.42931885, 1.76979456] β: 0.46403 [0.357198, 0.57086347]	AUROC: 0.6696 [0.63218416, 0.70702386]	R²: 0.05578 [0.03219308, 0.08912121]	beta = log(or)/sd_pgs
PPM020055	PGS004021 (lassosum.CV.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.46364 [1.40722648, 1.52232499] β: 0.38093 [0.34162073, 0.42023876]	AUROC: 0.60294 [0.59126234, 0.6146234]	R²: 0.02295 [0.01792423, 0.02800557]	beta = log(or)/sd_pgs
PPM020056	PGS004021 (lassosum.CV.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.61006 [1.57707721, 1.6437293] β: 0.47627 [0.45557327, 0.49696762]	AUROC: 0.63039 [0.62463626, 0.63613412]	R²: 0.03371 [0.03082787, 0.03667513]	beta = log(or)/sd_pgs
PPM020057	PGS004021 (lassosum.CV.GCST90013534.RA)	PSS011246\| South Asian Ancestry\| 44,057 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.91213 [1.49624529, 2.4436175] β: 0.64822 [0.40295883, 0.89347952]	AUROC: 0.69067 [0.62429924, 0.75703169]	R²: 0.03819 [0.01668401, 0.0690534]	beta = log(or)/sd_pgs
PPM020058	PGS004021 (lassosum.CV.GCST90013534.RA)	PSS011262\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.4387 [1.3566017, 1.52577159] β: 0.36374 [0.30498282, 0.42250024]	AUROC: 0.60312 [0.58631707, 0.61991468]	R²: 0.01973 [0.01358075, 0.02702473]	beta = log(or)/sd_pgs
PPM020059	PGS004021 (lassosum.CV.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.11267 [1.86259241, 2.39632917] β: 0.74795 [0.62196928, 0.87393805]	AUROC: 0.71102 [0.67560891, 0.74643625]	R²: 0.09939 [0.0673612, 0.13982338]	beta = log(or)/sd_pgs
PPM020061	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26981 [0.26616479, 0.27346495]	—	R²: 0.0728 [0.0708437, 0.07478308]	beta = sd_trait/sd_pgs = pearson correlation
PPM020062	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.25362 [0.24335441, 0.26389185]	—	R²: 0.06432 [0.05922137, 0.06963891]	beta = sd_trait/sd_pgs = pearson correlation
PPM020063	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.27669 [0.26939582, 0.2839815]	—	R²: 0.07656 [0.07257411, 0.08064549]	beta = sd_trait/sd_pgs = pearson correlation
PPM020064	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.24036 [0.22042282, 0.26029703]	—	R²: 0.05777 [0.04858622, 0.06775454]	beta = sd_trait/sd_pgs = pearson correlation
PPM020065	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.35385 [0.34964955, 0.35806039]	—	R²: 0.12521 [0.12225481, 0.12820725]	beta = sd_trait/sd_pgs = pearson correlation
PPM020066	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.32614 [0.32256062, 0.3297274]	—	R²: 0.10637 [0.10404535, 0.10872016]	beta = sd_trait/sd_pgs = pearson correlation
PPM020067	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26677 [0.25654102, 0.27700322]	—	R²: 0.07117 [0.06581329, 0.07673079]	beta = sd_trait/sd_pgs = pearson correlation
PPM020068	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33511 [0.32795619, 0.34225683]	—	R²: 0.1123 [0.10755526, 0.11713974]	beta = sd_trait/sd_pgs = pearson correlation
PPM020069	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.27048 [0.25070611, 0.29025341]	—	R²: 0.07316 [0.06285355, 0.08424704]	beta = sd_trait/sd_pgs = pearson correlation
PPM020070	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.35918 [0.35498036, 0.36337294]	—	R²: 0.12901 [0.12601105, 0.1320399]	beta = sd_trait/sd_pgs = pearson correlation
PPM020071	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.32289 [0.31930445, 0.32647969]	—	R²: 0.10426 [0.10195533, 0.10658899]	beta = sd_trait/sd_pgs = pearson correlation
PPM020072	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28496 [0.27478665, 0.295138]	—	R²: 0.0812 [0.0755077, 0.08710644]	beta = sd_trait/sd_pgs = pearson correlation
PPM020073	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33073 [0.32356545, 0.33788957]	—	R²: 0.10938 [0.1046946, 0.11416936]	beta = sd_trait/sd_pgs = pearson correlation
PPM020074	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28263 [0.26292355, 0.30232726]	—	R²: 0.07988 [0.06912879, 0.09140177]	beta = sd_trait/sd_pgs = pearson correlation
PPM020075	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.36472 [0.36053243, 0.36890567]	—	R²: 0.13302 [0.12998363, 0.13609139]	beta = sd_trait/sd_pgs = pearson correlation
PPM020076	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33197 [0.32839667, 0.33554806]	—	R²: 0.11021 [0.10784438, 0.1125925]	beta = sd_trait/sd_pgs = pearson correlation
PPM020077	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28234 [0.2721519, 0.29251975]	—	R²: 0.07971 [0.07406666, 0.08556781]	beta = sd_trait/sd_pgs = pearson correlation
PPM020078	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.34509 [0.33796862, 0.35221445]	—	R²: 0.11909 [0.11422279, 0.12405502]	beta = sd_trait/sd_pgs = pearson correlation
PPM020079	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28559 [0.26590751, 0.30527512]	—	R²: 0.08156 [0.0707068, 0.0931929]	beta = sd_trait/sd_pgs = pearson correlation
PPM020080	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33881 [0.33457883, 0.34303963]	—	R²: 0.11479 [0.11194299, 0.11767619]	beta = sd_trait/sd_pgs = pearson correlation
PPM020081	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.30485 [0.30124419, 0.30846464]	—	R²: 0.09294 [0.09074806, 0.09515043]	beta = sd_trait/sd_pgs = pearson correlation
PPM020082	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26196 [0.2517198, 0.27220998]	—	R²: 0.06863 [0.06336286, 0.07409827]	beta = sd_trait/sd_pgs = pearson correlation
PPM020083	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.31748 [0.31028548, 0.32467847]	—	R²: 0.10079 [0.09627708, 0.10541611]	beta = sd_trait/sd_pgs = pearson correlation
PPM020084	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26382 [0.24401318, 0.28363626]	—	R²: 0.0696 [0.05954243, 0.08044953]	beta = sd_trait/sd_pgs = pearson correlation
PPM020085	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.35864 [0.35443864, 0.3628331]	—	R²: 0.12862 [0.12562675, 0.13164786]	beta = sd_trait/sd_pgs = pearson correlation
PPM020086	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33536 [0.33178622, 0.33892852]	—	R²: 0.11246 [0.11008209, 0.11487254]	beta = sd_trait/sd_pgs = pearson correlation
PPM020087	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26465 [0.25441737, 0.27489196]	—	R²: 0.07004 [0.0647282, 0.07556559]	beta = sd_trait/sd_pgs = pearson correlation
PPM020088	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.34613 [0.33900784, 0.35324788]	—	R²: 0.1198 [0.11492632, 0.12478407]	beta = sd_trait/sd_pgs = pearson correlation
PPM020089	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26176 [0.24194128, 0.28158742]	—	R²: 0.06852 [0.05853559, 0.07929148]	beta = sd_trait/sd_pgs = pearson correlation
PPM020090	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.31544 [0.31117023, 0.31970379]	—	R²: 0.0995 [0.09682691, 0.10221052]	beta = sd_trait/sd_pgs = pearson correlation
PPM020091	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.29137 [0.28774462, 0.294997]	—	R²: 0.0849 [0.08279697, 0.08702323]	beta = sd_trait/sd_pgs = pearson correlation
PPM020092	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.25831 [0.24805711, 0.26856819]	—	R²: 0.06673 [0.06153233, 0.07212887]	beta = sd_trait/sd_pgs = pearson correlation
PPM020093	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.31267 [0.3054587, 0.31987595]	—	R²: 0.09776 [0.09330502, 0.10232063]	beta = sd_trait/sd_pgs = pearson correlation
PPM020094	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.24786 [0.22796511, 0.26776173]	—	R²: 0.06144 [0.05196809, 0.07169634]	beta = sd_trait/sd_pgs = pearson correlation
PPM019180	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011214\| European Ancestry\| 189,651 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.22444 [0.22005792, 0.22882952]	—	R²: 0.05037 [0.04842549, 0.05236295]	beta = sd_trait/sd_pgs = pearson correlation
PPM019925	PGS004146 (sbayesr.auto.GCST90012877.AD)	PSS011213\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.48544 [1.37939815, 1.59962905] β: 0.39571 [0.32164728, 0.46977176]	AUROC: 0.60796 [0.58278903, 0.63313316]	R²: 0.03003 [0.01833361, 0.04547365]	beta = log(or)/sd_pgs
PPM019926	PGS004146 (sbayesr.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.52213 [1.49865179, 1.54596874] β: 0.42011 [0.40456589, 0.43565073]	AUROC: 0.62099 [0.61607908, 0.6259011]	R²: 0.03241 [0.02967044, 0.03503408]	beta = log(or)/sd_pgs
PPM019181	PGS004022 (ldpred2.auto.GCST002783.BMI)	PSS011237\| South Asian Ancestry\| 33,146 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.18252 [0.1719363, 0.19310618]	—	R²: 0.03331 [0.02956209, 0.03729]	beta = sd_trait/sd_pgs = pearson correlation
PPM019179	PGS004134 (sbayesr.auto.GCST002783.BMI)	PSS011267\| European Ancestry\| 89,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Body Mass Index	β: 0.24019 [0.23383228, 0.24654538]	—	R²: 0.05746 [0.05445611, 0.06053846]	beta = sd_trait/sd_pgs = pearson correlation
PPM019930	PGS004034 (ldpred2.auto.GCST90012877.AD)	PSS011252\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.78882 [1.71250526, 1.86854552] β: 0.58156 [0.53795736, 0.62516033]	AUROC: 0.67205 [0.65778828, 0.68630804]	R²: 0.07132 [0.06110042, 0.08413551]	beta = log(or)/sd_pgs
PPM019246	PGS004135 (sbayesr.auto.GCST004131.IBD)	PSS011231\| European Ancestry\| 396,819 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.982 [1.93724169, 2.02779924] β: 0.68411 [0.66126515, 0.70695109]	AUROC: 0.68425 [0.67836828, 0.6901266]	R²: 0.0719 [0.06717405, 0.07701924]	beta = log(or)/sd_pgs
PPM019251	PGS004023 (ldpred2.auto.GCST004131.IBD)	PSS011220\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.37223 [1.31427216, 1.43274448] β: 0.31644 [0.27328302, 0.35959182]	AUROC: 0.58458 [0.57191218, 0.59724852]	R²: 0.01565 [0.01132517, 0.02036671]	beta = log(or)/sd_pgs
PPM019280	PGS004081 (prscs.auto.GCST004131.IBD)	PSS011273\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Inflammatory bowel disease	OR: 1.87137 [1.77212268, 1.97616972] β: 0.62667 [0.57217808, 0.68116049]	AUROC: 0.67221 [0.65768122, 0.68674124]	R²: 0.06119 [0.05135518, 0.07301252]	beta = log(or)/sd_pgs
PPM019311	PGS003982 (dbslmm.auto.GCST004773.T2D)	PSS011225\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Type 2 Diabetes	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]	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]	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]	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]	beta = log(or)/sd_pgs
PPM019393	PGS003983 (dbslmm.auto.GCST004988.Breast_cancer)	PSS011282\| South Asian Ancestry\| 4,350 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Breast cancer	OR: 1.467 [1.26742431, 1.69799758] β: 0.38322 [0.23698674, 0.52944966]	AUROC: 0.60326 [0.56283686, 0.64369262]	R²: 0.02527 [0.01023305, 0.04785722]	beta = log(or)/sd_pgs
PPM019461	PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PSS011223\| European Ancestry\| 48,148 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12873 [1.09591702, 1.16253397] β: 0.1211 [0.09159147, 0.15060208]	AUROC: 0.53509 [0.52657818, 0.54361127]	R²: 0.00303 [0.00161439, 0.00460309]	beta = log(or)/sd_pgs
PPM019465	PGS004154 (UKBB_EnsPGS.GCST005838.Stroke)	PSS011290\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.18096 [1.03046264, 1.35342652] β: 0.16632 [0.03000786, 0.30263954]	AUROC: 0.55516 [0.51584288, 0.59448045]	R²: 0.00429 [0.000133, 0.01465822]	beta = log(or)/sd_pgs
PPM019498	PGS004000 (lassosum.auto.GCST005838.Stroke)	PSS011234\| European Ancestry\| 376,733 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Stroke excluding subarachnoid hemorrhage	OR: 1.12015 [1.10615947, 1.134316] β: 0.11346 [0.10089408, 0.12602982]	AUROC: 0.53218 [0.52855431, 0.53580164]	R²: 0.00266 [0.00209727, 0.00327205]	beta = log(or)/sd_pgs
PPM019525	PGS004125 (pt_clump_nested.CV.GCST006085.Prostate_cancer)	PSS011289\| South Asian Ancestry\| 4,976 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.09235 [1.73026328, 2.53021198] β: 0.73829 [0.54827358, 0.92830309]	AUROC: 0.69188 [0.63818733, 0.74557944]	R²: 0.08168 [0.04043084, 0.13345443]	beta = log(or)/sd_pgs
PPM019538	PGS004155 (UKBB_EnsPGS.GCST006085.Prostate_cancer)	PSS011274\| European Ancestry\| 41,305 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.07191 [1.98501238, 2.16261171] β: 0.72847 [0.68562515, 0.77131661]	AUROC: 0.69359 [0.68298073, 0.70420632]	R²: 0.11691 [0.10474566, 0.12968023]	beta = log(or)/sd_pgs
PPM019565	PGS004099 (prscs.CV.GCST006085.Prostate_cancer)	PSS011245\| South Asian Ancestry\| 19,738 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Prostate cancer	OR: 2.15033 [1.76929402, 2.61342601] β: 0.76562 [0.57058061, 0.96066201]	AUROC: 0.71858 [0.66846898, 0.76868259]	R²: 0.09202 [0.05146716, 0.14494702]	beta = log(or)/sd_pgs
PPM019582	PGS004043 (ldpred2.CV.GCST007140.HDL)	PSS011241\| South Asian Ancestry\| 29,628 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.33264 [0.32189929, 0.34337652]	—	R²: 0.11065 [0.10361915, 0.11790744]	beta = sd_trait/sd_pgs = pearson correlation
PPM019595	PGS004126 (pt_clump_nested.CV.GCST007140.HDL)	PSS011271\| European Ancestry\| 78,782 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.2406 [0.23382893, 0.24736942]	—	R²: 0.05801 [0.05479162, 0.06132106]	beta = sd_trait/sd_pgs = pearson correlation
PPM019606	PGS004140 (sbayesr.auto.GCST007140.HDL)	PSS011218\| European Ancestry\| 10,642 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: high-density lipoprotein cholesterol	β: 0.25977 [0.2414214, 0.27811888]	—	R²: 0.06748 [0.05828429, 0.07735011]	beta = sd_trait/sd_pgs = pearson correlation
PPM019651	PGS004127 (pt_clump_nested.CV.GCST007954.HbA1c)	PSS011286\| South Asian Ancestry\| 8,748 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Haemoglobin A1C	β: 0.12036 [0.09955043, 0.14116111]	—	R²: 0.01449 [0.00991029, 0.01992646]	beta = sd_trait/sd_pgs = pearson correlation
PPM019713	PGS004129 (pt_clump_nested.CV.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.259 [0.25253245, 0.26547564]	—	R²: 0.06675 [0.06345235, 0.07012335]	beta = sd_trait/sd_pgs = pearson correlation
PPM019721	PGS004159 (UKBB_EnsPGS.GCST008059.eGFR)	PSS011251\| South Asian Ancestry\| 3,061 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.23205 [0.22105173, 0.24304408]	—	R²: 0.05385 [0.04886387, 0.05907043]	beta = sd_trait/sd_pgs = pearson correlation
PPM019753	PGS004031 (ldpred2.auto.GCST008059.eGFR)	PSS011280\| European Ancestry\| 86,034 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.3212 [0.31486872, 0.32753881]	—	R²: 0.10297 [0.09894715, 0.10707049]	beta = sd_trait/sd_pgs = pearson correlation
PPM019774	PGS004074 (megaprs.CV.GCST008059.CKD)	PSS011269\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.37315 [1.32665979, 1.42127286] β: 0.31711 [0.28266434, 0.35155285]	AUROC: 0.58868 [0.57900777, 0.59834895]	R²: 0.0186 [0.01476562, 0.02283747]	beta = log(or)/sd_pgs
PPM019779	PGS004101 (prscs.CV.GCST008059.CKD)	PSS011283\| South Asian Ancestry\| 9,326 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Chronic kidney disease or dialysis	OR: 1.26007 [1.14862762, 1.38232056] β: 0.23117 [0.13856786, 0.32376365]	AUROC: 0.56155 [0.53424355, 0.58884693]	R²: 0.01036 [0.00343094, 0.02152581]	beta = log(or)/sd_pgs
PPM019805	PGS004017 (lassosum.CV.GCST008059.eGFR)	PSS011266\| European Ancestry\| 66,759 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: estimated glomerular filtration rate	β: 0.21678 [0.20937502, 0.22418578]	—	R²: 0.04699 [0.0438379, 0.05025927]	beta = sd_trait/sd_pgs = pearson correlation
PPM019843	PGS003991 (dbslmm.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.21712 [0.19677268, 0.23747003]	—	R²: 0.04714 [0.03871949, 0.05639201]	beta = sd_trait/sd_pgs = pearson correlation
PPM019845	PGS003991 (dbslmm.auto.GCST008972.Urate)	PSS011279\| European Ancestry\| 85,973 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.25263 [0.24617164, 0.25908977]	—	R²: 0.06398 [0.06075258, 0.067296]	beta = sd_trait/sd_pgs = pearson correlation
PPM019879	PGS004076 (megaprs.CV.GCST008972.Gout)	PSS011270\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Gout	OR: 1.97547 [1.87984426, 2.07596098] β: 0.68081 [0.63118893, 0.73042417]	AUROC: 0.6845 [0.67169718, 0.69730867]	R²: 0.07885 [0.06756619, 0.09040694]	beta = log(or)/sd_pgs
PPM019897	PGS004091 (prscs.auto.GCST008972.Urate)	PSS011292\| South Asian Ancestry\| 8,842 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Urate	β: 0.20722 [0.18682603, 0.22761301]	—	R²: 0.04294 [0.03490396, 0.05180768]	beta = sd_trait/sd_pgs = pearson correlation
PPM019932	PGS004062 (megaprs.auto.GCST90012877.AD)	PSS011226\| European Ancestry\| 389,004 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: AD	OR: 1.48022 [1.45673427, 1.50408347] β: 0.39219 [0.37619713, 0.40818372]	AUROC: 0.61101 [0.6061323, 0.6158922]	R²: 0.02634 [0.02407498, 0.02873899]	beta = log(or)/sd_pgs
PPM019955	PGS004147 (sbayesr.auto.GCST90013445.T1D)	PSS011224\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.62883 [1.4923288, 1.77782255] β: 0.48786 [0.40033785, 0.57538933]	AUROC: 0.63151 [0.60628925, 0.65673082]	R²: 0.02701 [0.01801814, 0.03863217]	beta = log(or)/sd_pgs
PPM019978	PGS004078 (megaprs.CV.GCST90013445.T1D)	PSS011264\| European Ancestry\| 66,865 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: T1D	OR: 1.39887 [1.26758241, 1.54375709] β: 0.33567 [0.23711147, 0.43421912]	AUROC: 0.58756 [0.55830682, 0.61680998]	R²: 0.01282 [0.00631335, 0.02187257]	beta = log(or)/sd_pgs
PPM020000	PGS004049 (ldpred2.CV.GCST90013534.RA)	PSS011222\| European Ancestry\| 199,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.55377 [1.4943584, 1.61555387] β: 0.44069 [0.40169695, 0.47967785]	AUROC: 0.62089 [0.60918562, 0.63258519]	R²: 0.03138 [0.02545406, 0.03718143]	beta = log(or)/sd_pgs
PPM020016	PGS003994 (dbslmm.auto.GCST90013534.RA)	PSS011233\| European Ancestry\| 388,890 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 1.50841 [1.47749798, 1.53996605] β: 0.41106 [0.3903501, 0.43176037]	AUROC: 0.61202 [0.60619063, 0.61785875]	R²: 0.02501 [0.02245787, 0.02749797]	beta = log(or)/sd_pgs
PPM020034	PGS004079 (megaprs.CV.GCST90013534.RA)	PSS011275\| European Ancestry\| 90,274 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Seropositive RA	OR: 2.22137 [1.95736288, 2.5209968] β: 0.79813 [0.6715981, 0.92465438]	AUROC: 0.71931 [0.68214811, 0.75647815]	R²: 0.11294 [0.0751487, 0.15730633]	beta = log(or)/sd_pgs
PPM020060	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.29998 [0.29569282, 0.30427133]	—	R²: 0.08999 [0.08743424, 0.09258104]	beta = sd_trait/sd_pgs = pearson correlation

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
PSS011213	—	—	199,274 individuals [ 555 cases , 198,719 controls ]	—	European	—	EB	—
PSS011214	—	—	189,651 individuals	—	European	—	EB	—
PSS011215	—	—	130,758 individuals [ 2,685 cases , 128,073 controls ] , 0.0 % Male samples	—	European	—	EB	—
PSS011216	—	—	199,274 individuals [ 4,224 cases , 195,050 controls ]	—	European	—	EB	—
PSS011217	—	—	199,274 individuals [ 10,646 cases , 188,628 controls ]	—	European	—	EB	—
PSS011218	—	—	10,642 individuals	—	European	—	EB	—
PSS011219	—	—	190,013 individuals	—	European	—	EB	—
PSS011220	—	—	199,274 individuals [ 197,177 cases , 2,097 controls ]	—	European	—	EB	—
PSS011221	—	—	68,516 individuals [ 2,227 cases , 66,289 controls ] , 100.0 % Male samples	—	European	—	EB	—
PSS011222	—	—	199,274 individuals [ 2,384 cases , 196,890 controls ]	—	European	—	EB	—
PSS011223	—	—	48,148 individuals [ 4,515 cases , 43,633 controls ]	—	European	—	EB	—
PSS011224	—	—	199,274 individuals [ 501 cases , 198,773 controls ]	—	European	—	EB	—
PSS011225	—	—	199,274 individuals [ 12,344 cases , 186,930 controls ]	—	European	—	EB	—
PSS011226	G6_AD_WIDE, ICD10: G30\|F00, ICD9: 3310	—	389,004 individuals [ 13,823 cases , 375,181 controls ]	—	European	—	FinnGen	—
PSS011227	C3_BREAST, ICD10: C0, ICD9: 174	—	217,530 individuals [ 16,076 cases , 201,454 controls ] , 0.0 % Male samples	—	European	—	FinnGen	—
PSS011228	N14_CHRONKIDNEYDIS, ICD10: N18, ICD9: 585, include dialysis (ICD10 Z992\|Y841)	—	383,843 individuals [ 9,314 cases , 374,529 controls ]	—	European	—	FinnGen	—
PSS011229	M13_GOUT, ICD10: M10, ICD9: 2740	—	257,781 individuals [ 8,759 cases , 249,022 controls ]	—	European	—	FinnGen	—
PSS011230	—	—	267,343 individuals	—	European	—	FinnGen	—
PSS011231	K11_IBD_STRICT, ICD10: K50\|K51, ICD9: 555\|556	—	396,819 individuals [ 389,004 cases , 7,815 controls ]	—	European	—	FinnGen	—
PSS011232	C3_PROSTATE, ICD10: C61, ICD9: 185	—	171,474 individuals [ 13,606 cases , 157,868 controls ] , 100.0 % Male samples	—	European	—	FinnGen	—
PSS011233	RHEUMA_SEROPOS_OTH, ICD10: M05[8-9], ICD9: 7140A	—	388,890 individuals [ 9,332 cases , 379,558 controls ]	—	European	—	FinnGen	—
PSS011234	I9_STR, ICD10: I61 \| I63 \| I64 (exclude I636), ICD9:431\|4330A\|4331A\|4339A\|4340A\|4341A\|4349A\|436	—	376,733 individuals [ 26,166 cases , 350,567 controls ]	—	European	—	FinnGen	—
PSS011235	T1D, ICD10: E10, ICD9: 250[0\|1]1 (exclude E11)	—	322,349 individuals [ 4,286 cases , 318,063 controls ]	—	European	—	FinnGen	—
PSS011236	T2D, ICD10: E11, ICD9: 250[0\|1]0 (exclude E10)	—	377,408 individuals [ 59,345 cases , 318,063 controls ]	—	European	—	FinnGen	—
PSS011237	—	—	33,146 individuals	—	South Asian	—	G&H	—
PSS011238	—	—	24,319 individuals [ 197 cases , 24,122 controls ] , 0.0 % Male samples	—	South Asian	—	G&H	—
PSS011239	—	—	44,057 individuals [ 1,131 cases , 42,926 controls ]	—	South Asian	—	G&H	—
PSS011240	—	—	44,057 individuals [ 282 cases , 43,775 controls ]	—	South Asian	—	G&H	—
PSS011241	—	—	29,628 individuals	—	South Asian	—	G&H	—
PSS011242	—	—	12,948 individuals	—	South Asian	—	G&H	—
PSS011243	—	—	34,089 individuals	—	South Asian	—	G&H	—
PSS011244	—	—	44,057 individuals [ 43,591 cases , 466 controls ]	—	South Asian	—	G&H	—
PSS011245	—	—	19,738 individuals [ 95 cases , 19,643 controls ] , 100.0 % Male samples	—	South Asian	—	G&H	—
PSS011246	—	—	44,057 individuals [ 60 cases , 43,997 controls ]	—	South Asian	—	G&H	—
PSS011247	—	—	44,057 individuals [ 424 cases , 43,633 controls ]	—	South Asian	—	G&H	—
PSS011248	—	—	44,057 individuals [ 443 cases , 43,614 controls ]	—	South Asian	—	G&H	—
PSS011249	—	—	44,057 individuals [ 6,630 cases , 37,427 controls ]	—	South Asian	—	G&H	—
PSS011250	—	—	4,730 individuals	—	European	—	G&H	—
PSS011251	—	—	3,061 individuals	—	South Asian	—	G&H	—
PSS011252	—	—	66,865 individuals [ 1,562 cases , 65,303 controls ]	—	European	—	HUNT	—
PSS011253	—	—	66,663 individuals	—	European	—	HUNT	—
PSS011254	—	—	35,377 individuals [ 1,729 cases , 33,648 controls ] , 0.0 % Male samples	—	European	—	HUNT	—
PSS011255	—	—	66,865 individuals [ 2,802 cases , 64,063 controls ]	—	European	—	HUNT	—
PSS011256	—	—	66,865 individuals [ 1,318 cases , 65,547 controls ]	—	European	—	HUNT	—
PSS011257	—	—	49,824 individuals	—	European	—	HUNT	—
PSS011258	—	—	34,192 individuals	—	European	—	HUNT	—
PSS011259	—	—	66,700 individuals	—	European	—	HUNT	—
PSS011260	—	—	66,865 individuals [ 65,096 cases , 1,769 controls ]	—	European	—	HUNT	—
PSS011261	—	—	31,410 individuals [ 2,242 cases , 29,168 controls ] , 100.0 % Male samples	—	European	—	HUNT	—
PSS011262	—	—	66,865 individuals [ 1,139 cases , 65,726 controls ]	—	European	—	HUNT	—
PSS011263	—	—	66,865 individuals [ 5,204 cases , 61,661 controls ]	—	European	—	HUNT	—
PSS011264	—	—	66,865 individuals [ 396 cases , 66,469 controls ]	—	European	—	HUNT	—
PSS011265	—	—	66,865 individuals [ 3,861 cases , 63,004 controls ]	—	European	—	HUNT	—
PSS011266	—	—	66,759 individuals	—	European	—	HUNT	—
PSS011267	—	—	89,976 individuals	—	European	—	UKB	—
PSS011268	—	—	48,968 individuals [ 3,120 cases , 45,848 controls ] , 0.0 % Male samples	—	European	—	UKB	—
PSS011269	—	—	90,274 individuals [ 3,374 cases , 86,900 controls ]	—	European	—	UKB	—
PSS011270	—	—	90,274 individuals [ 1,676 cases , 88,598 controls ]	—	European	—	UKB	—
PSS011271	—	—	78,782 individuals	—	European	—	UKB	—
PSS011272	—	—	86,050 individuals	—	European	—	UKB	—
PSS011273	—	—	90,274 individuals [ 1,335 cases , 88,939 controls ]	—	European	—	UKB	—
PSS011274	—	—	41,305 individuals [ 2,417 cases , 38,888 controls ] , 100.0 % Male samples	—	European	—	UKB	—
PSS011275	—	—	90,274 individuals [ 205 cases , 90,069 controls ]	—	European	—	UKB	—
PSS011276	—	—	90,274 individuals [ 2,035 cases , 88,239 controls ]	—	European	—	UKB	—
PSS011277	—	—	90,274 individuals [ 201 cases , 90,073 controls ]	—	European	—	UKB	—
PSS011278	—	—	90,274 individuals [ 5,937 cases , 84,337 controls ]	—	European	—	UKB	—
PSS011279	—	—	85,973 individuals	—	European	—	UKB	—
PSS011280	—	—	86,034 individuals	—	European	—	UKB	—
PSS011281	—	—	9,097 individuals	—	South Asian	—	UKB	—
PSS011282	—	—	4,350 individuals [ 196 cases , 4,154 controls ] , 0.0 % Male samples	—	South Asian	—	UKB	—
PSS011283	—	—	9,326 individuals [ 478 cases , 8,848 controls ]	—	South Asian	—	UKB	—
PSS011284	—	—	9,326 individuals [ 206 cases , 9,120 controls ]	—	South Asian	—	UKB	—
PSS011285	—	—	8,065 individuals	—	South Asian	—	UKB	—
PSS011286	—	—	8,748 individuals	—	South Asian	—	UKB	—
PSS011287	—	—	9,108 individuals	—	South Asian	—	UKB	—
PSS011288	—	—	9,326 individuals [ 168 cases , 9,158 controls ]	—	South Asian	—	UKB	—
PSS011289	—	—	4,976 individuals [ 110 cases , 4,866 controls ] , 100.0 % Male samples	—	South Asian	—	UKB	—
PSS011290	—	—	9,326 individuals [ 211 cases , 9,115 controls ]	—	South Asian	—	UKB	—
PSS011291	—	—	9,326 individuals [ 2,066 cases , 7,260 controls ]	—	South Asian	—	UKB	—
PSS011292	—	—	8,842 individuals	—	South Asian	—	UKB	—
PSS011293	—	—	8,855 individuals	—	South Asian	—	UKB	—