PGS Catalog - low density lipoprotein cholesterol measurement [EFO:0004611] (Polygenic Trait)

Trait: low density lipoprotein cholesterol measurement

Experimental Factor Ontology (EFO) Information
Identifier	EFO_0004611
Description	The measurement of LDL cholesterol in blood used as a risk indicator for heart disease.
Trait categories	Cardiovascular measurement Lipid or lipoprotein measurement
Synonym	LDL measurement
Mapped terms	2 mapped terms NCIt:C105588 SNOMEDCT:113079009

Associated Polygenic Score(s)

Polygenic Score ID & Name	PGS Publication ID (PGP)	Reported Trait	Mapped Trait(s) (Ontology)	Number of Variants	Ancestry distribution GWAS Dev Eval	Scoring File (FTP Link)
PGS000061 (GRS_LDL)	PGP000045 \| Johnson L et al. PLoS One (2015)	Low-density lipoprotein (LDL) cholesterol	low density lipoprotein cholesterol measurement	37	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000061/ScoringFiles/PGS000061.txt.gz
PGS000065 (GLGC2017_LDL)	PGP000046 \| Kuchenbaecker K et al. Nat Commun (2019)	LDL cholesterol	low density lipoprotein cholesterol measurement	103	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000065/ScoringFiles/PGS000065.txt.gz
PGS000115 (LDL-C_20)	PGP000053 \| Trinder M et al. JAMA Cardiol (2020)	LDL cholesterol	low density lipoprotein cholesterol measurement	223	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000115/ScoringFiles/PGS000115.txt.gz
PGS000192 (GS9)	PGP000079 \| Kathiresan S et al. N Engl J Med (2008)	Cholesterol	low density lipoprotein cholesterol measurement, high density lipoprotein cholesterol measurement	9	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000192/ScoringFiles/PGS000192.txt.gz
PGS000310 (GRS194_LDL)	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	LDL cholesterol	low density lipoprotein cholesterol measurement	194	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000310/ScoringFiles/PGS000310.txt.gz
PGS000340 (LDL-Cpsp)	PGP000107 \| Trinder M et al. Circ Genom Precis Med (2020)	LDL cholesterol	low density lipoprotein cholesterol measurement	28	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000340/ScoringFiles/PGS000340.txt.gz
PGS000661 (PRS-LDL)	PGP000121 \| Tam CHT et al. Genome Med (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	84		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000661/ScoringFiles/PGS000661.txt.gz
PGS000688 (snpnet.LDL_direct_adjstatins)	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	LDL cholesterol [mmol/L] (statin adjusted)	low density lipoprotein cholesterol measurement	16,184	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000688/ScoringFiles/PGS000688.txt.gz - Check Terms/Licenses
PGS000814 (GRS12_LDLc)	PGP000200 \| Talmud PJ et al. Lancet (2013)	LDL cholesterol	low density lipoprotein cholesterol measurement	16	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000814/ScoringFiles/PGS000814.txt.gz
PGS000824 (LDL-C_PGS)	PGP000210 \| Zubair N et al. Sci Rep (2019)	LDL cholesterol	low density lipoprotein cholesterol measurement	809	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000824/ScoringFiles/PGS000824.txt.gz - Check Terms/Licenses
PGS000846 (LDL)	PGP000211 \| Aly DM et al. Nat Genet (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	275	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000846/ScoringFiles/PGS000846.txt.gz
PGS000875 (PGS36_LDLc)	PGP000221 \| Leal LG et al. Mol Genet Genomic Med (2020)	LDL cholesterol	low density lipoprotein cholesterol measurement	36		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000875/ScoringFiles/PGS000875.txt.gz
PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,222,318	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000886/ScoringFiles/PGS000886.txt.gz
PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	295	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000887/ScoringFiles/PGS000887.txt.gz
PGS000888 (GLGC_2021_ALL_LDL_PRS_weights_PRS-CS)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,239,184	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000888/ScoringFiles/PGS000888.txt.gz
PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	9,009	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000889/ScoringFiles/PGS000889.txt.gz
PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,029,158	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000890/ScoringFiles/PGS000890.txt.gz
PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	66	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000891/ScoringFiles/PGS000891.txt.gz
PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,119,211	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000892/ScoringFiles/PGS000892.txt.gz
PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	5,427	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000893/ScoringFiles/PGS000893.txt.gz
PGS000894 (GLGC_2021_HIS_LDL_PRS_weights_PRS-CS)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,175,595	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000894/ScoringFiles/PGS000894.txt.gz
PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	76	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000895/ScoringFiles/PGS000895.txt.gz
PGS000896 (GLGC_2021_SAS_LDL_PRS_weights_PRS-CS)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,100,062	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000896/ScoringFiles/PGS000896.txt.gz
PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PGP000230 \| Graham SE et al. Nature (2021)	LDL cholesterol	low density lipoprotein cholesterol measurement	13	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000897/ScoringFiles/PGS000897.txt.gz
PGS001933 (portability-PLR_LDL)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	LDL direct	low density lipoprotein cholesterol measurement	25,604	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001933/ScoringFiles/PGS001933.txt.gz
PGS002150 (portability-ldpred2_LDL)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	LDL direct	low density lipoprotein cholesterol measurement	360,007	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002150/ScoringFiles/PGS002150.txt.gz
PGS002274 (LDL-PRS)	PGP000303 \| Groenland EH et al. Atherosclerosis (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	279	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002274/ScoringFiles/PGS002274.txt.gz
PGS002285 (GRS_286_LDL)	PGP000313 \| Kamiza AB et al. Nat Med (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	286		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002285/ScoringFiles/PGS002285.txt.gz
PGS002337 (biochemistry_LDLdirect.BOLT-LMM)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,109,311	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002337/ScoringFiles/PGS002337.txt.gz
PGS002369 (biochemistry_LDLdirect.BOLT-LMM-BBJ)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	920,930	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002369/ScoringFiles/PGS002369.txt.gz
PGS002409 (biochemistry_LDLdirect.P+T.0.0001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	7,626	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002409/ScoringFiles/PGS002409.txt.gz
PGS002458 (biochemistry_LDLdirect.P+T.0.001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	20,708	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002458/ScoringFiles/PGS002458.txt.gz
PGS002507 (biochemistry_LDLdirect.P+T.0.01)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	105,053	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002507/ScoringFiles/PGS002507.txt.gz
PGS002556 (biochemistry_LDLdirect.P+T.1e-06)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	3,244	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002556/ScoringFiles/PGS002556.txt.gz
PGS002605 (biochemistry_LDLdirect.P+T.5e-08)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	2,337	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002605/ScoringFiles/PGS002605.txt.gz
PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	274,585	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002654/ScoringFiles/PGS002654.txt.gz
PGS002703 (biochemistry_LDLdirect.SBayesR)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	970,081	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002703/ScoringFiles/PGS002703.txt.gz
PGS002730 (GRSlipid_35)	PGP000337 \| Mayerhofer E et al. Brain (2022)	LDL lowering in response to statin	low density lipoprotein cholesterol measurement, response to statin	35	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002730/ScoringFiles/PGS002730.txt.gz
PGS003029 (ExPRSweb_LDL_30780-irnt_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	549,112		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003029/ScoringFiles/PGS003029.txt.gz
PGS003030 (ExPRSweb_LDL_30780-irnt_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	2,066		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003030/ScoringFiles/PGS003030.txt.gz
PGS003031 (ExPRSweb_LDL_30780-irnt_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	2,609		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003031/ScoringFiles/PGS003031.txt.gz
PGS003032 (ExPRSweb_LDL_30780-irnt_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	7,457,930		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003032/ScoringFiles/PGS003032.txt.gz
PGS003033 (ExPRSweb_LDL_30780-irnt_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,113,830		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003033/ScoringFiles/PGS003033.txt.gz
PGS003034 (ExPRSweb_LDL_30780-raw_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	552,845		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003034/ScoringFiles/PGS003034.txt.gz
PGS003035 (ExPRSweb_LDL_30780-raw_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	2,288		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003035/ScoringFiles/PGS003035.txt.gz
PGS003036 (ExPRSweb_LDL_30780-raw_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	2,935		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003036/ScoringFiles/PGS003036.txt.gz
PGS003037 (ExPRSweb_LDL_30780-raw_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	8,918,470		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003037/ScoringFiles/PGS003037.txt.gz
PGS003038 (ExPRSweb_LDL_30780-raw_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,113,830		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003038/ScoringFiles/PGS003038.txt.gz
PGS003339 (CVGRS_LDL)	PGP000405 \| Kim YJ et al. Nat Commun (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	65	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003339/ScoringFiles/PGS003339.txt.gz
PGS003348 (ALLGRS_LDL)	PGP000405 \| Kim YJ et al. Nat Commun (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	78	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003348/ScoringFiles/PGS003348.txt.gz
PGS003403 (PRS28_LDL)	PGP000420 \| Trinder M et al. J Am Coll Cardiol (2019)	LDL cholesterol	low density lipoprotein cholesterol measurement	28	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003403/ScoringFiles/PGS003403.txt.gz
PGS003404 (wGRS)	PGP000421 \| Wang J et al. Arterioscler Thromb Vasc Biol (2016)	LDL cholesterol	low density lipoprotein cholesterol measurement	10	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003404/ScoringFiles/PGS003404.txt.gz
PGS003405 (165SNP_PRS)	PGP000422 \| Vanhoye X et al. Transl Res (2022)	LDL cholesterol	low density lipoprotein cholesterol measurement	169		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003405/ScoringFiles/PGS003405.txt.gz
PGS003474 (LDPred2_LDL)	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	LDL levels	low density lipoprotein cholesterol measurement	842,513	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003474/ScoringFiles/PGS003474.txt.gz
PGS003517 (cont-decay-LDL)	PGP000457 \| Ding Y et al. Nature (2023)	LDL direct	low density lipoprotein cholesterol measurement	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003517/ScoringFiles/PGS003517.txt.gz
PGS003784 (LDL_EUR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	3,754		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003784/ScoringFiles/PGS003784.txt.gz
PGS003785 (LDL_EUR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,490,736		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003785/ScoringFiles/PGS003785.txt.gz
PGS003786 (LDL_AFR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	188		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003786/ScoringFiles/PGS003786.txt.gz
PGS003787 (LDL_AFR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,679,610		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003787/ScoringFiles/PGS003787.txt.gz
PGS003788 (LDL_AFR_weighted_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,679,610		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003788/ScoringFiles/PGS003788.txt.gz
PGS003789 (LDL_AFR_PRSCSx)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,155,363		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003789/ScoringFiles/PGS003789.txt.gz
PGS003790 (LDL_AFR_CTSLEB)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,120,053		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003790/ScoringFiles/PGS003790.txt.gz
PGS003791 (LDL_EAS_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	80		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003791/ScoringFiles/PGS003791.txt.gz
PGS003792 (LDL_EAS_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,191,112		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003792/ScoringFiles/PGS003792.txt.gz
PGS003793 (LDL_EAS_weighted_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,191,112		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003793/ScoringFiles/PGS003793.txt.gz
PGS003794 (LDL_EAS_PRSCSx)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,155,363		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003794/ScoringFiles/PGS003794.txt.gz
PGS003795 (LDL_EAS_CTSLEB)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	564,379		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003795/ScoringFiles/PGS003795.txt.gz
PGS003796 (LDL_SAS_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	25		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003796/ScoringFiles/PGS003796.txt.gz
PGS003797 (LDL_SAS_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,507,815		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003797/ScoringFiles/PGS003797.txt.gz
PGS003798 (LDL_SAS_weighted_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,507,815		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003798/ScoringFiles/PGS003798.txt.gz
PGS003799 (LDL_SAS_PRSCSx)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,155,363		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003799/ScoringFiles/PGS003799.txt.gz
PGS003800 (LDL_SAS_CTSLEB)	PGP000489 \| Zhang H et al. Nat Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	801,576		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003800/ScoringFiles/PGS003800.txt.gz
PGS003855 (PRS44_LDL)	PGP000493 \| Li J et al. JAMA Netw Open (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	44	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003855/ScoringFiles/PGS003855.txt.gz
PGS003869 (LDL_PRScsx_ARB_AFRweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,022,259	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003869/ScoringFiles/PGS003869.txt.gz
PGS003870 (LDL_PRScsx_ARB_AMRweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,067,857	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003870/ScoringFiles/PGS003870.txt.gz
PGS003871 (LDL_PRScsx_ARB_ARBweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	882,001	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003871/ScoringFiles/PGS003871.txt.gz
PGS003872 (LDL_PRScsx_ARB_EASweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	958,649	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003872/ScoringFiles/PGS003872.txt.gz
PGS003873 (LDL_PRScsx_ARB_EURweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,069,677	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003873/ScoringFiles/PGS003873.txt.gz
PGS003874 (LDL_PRScsx_ARB_SASweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,054,648	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003874/ScoringFiles/PGS003874.txt.gz
PGS003974 (AFR_without-UKB_LDL)	PGP000514 \| Hassanin E et al. Front Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	886,257	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003974/ScoringFiles/PGS003974.txt.gz
PGS003975 (EAS_without-UKB_LDL)	PGP000514 \| Hassanin E et al. Front Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	862,971	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003975/ScoringFiles/PGS003975.txt.gz
PGS003976 (EUR_without-UKB_LDL)	PGP000514 \| Hassanin E et al. Front Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	821,134	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003976/ScoringFiles/PGS003976.txt.gz
PGS003977 (SAS_without-UKB_LDL)	PGP000514 \| Hassanin E et al. Front Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	826,248	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003977/ScoringFiles/PGS003977.txt.gz
PGS003978 (meta_without-UKB_LDL)	PGP000514 \| Hassanin E et al. Front Genet (2023)	LDL cholesterol	low density lipoprotein cholesterol measurement	348,056	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003978/ScoringFiles/PGS003978.txt.gz
PGS004637 (LDL_AFR_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	173		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004637/ScoringFiles/PGS004637.txt.gz
PGS004638 (LDL_AFR_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,683,941		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004638/ScoringFiles/PGS004638.txt.gz
PGS004639 (LDL_AFR_PROSPER)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,794,429		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004639/ScoringFiles/PGS004639.txt.gz
PGS004640 (LDL_AFR_weighted_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	107,449		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004640/ScoringFiles/PGS004640.txt.gz
PGS004641 (LDL_AFR_weighted_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,879,609		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004641/ScoringFiles/PGS004641.txt.gz
PGS004642 (LDL_EAS_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	8,643		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004642/ScoringFiles/PGS004642.txt.gz
PGS004643 (LDL_EAS_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,194,231		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004643/ScoringFiles/PGS004643.txt.gz
PGS004644 (LDL_EAS_PROSPER)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,354,681		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004644/ScoringFiles/PGS004644.txt.gz
PGS004645 (LDL_EAS_weighted_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	107,449		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004645/ScoringFiles/PGS004645.txt.gz
PGS004646 (LDL_EAS_weighted_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,879,609		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004646/ScoringFiles/PGS004646.txt.gz
PGS004647 (LDL_SAS_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	307		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004647/ScoringFiles/PGS004647.txt.gz
PGS004648 (LDL_SAS_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,511,084		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004648/ScoringFiles/PGS004648.txt.gz
PGS004649 (LDL_SAS_PROSPER)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,794,429		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004649/ScoringFiles/PGS004649.txt.gz
PGS004650 (LDL_SAS_weighted_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	107,449		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004650/ScoringFiles/PGS004650.txt.gz
PGS004651 (LDL_SAS_weighted_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,879,609		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004651/ScoringFiles/PGS004651.txt.gz
PGS004791 (ldl_PRSmix_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,098,797	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004791/ScoringFiles/PGS004791.txt.gz
PGS004792 (ldl_PRSmix_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	6,580,710	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004792/ScoringFiles/PGS004792.txt.gz
PGS004793 (ldl_PRSmixPlus_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	3,946,021	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004793/ScoringFiles/PGS004793.txt.gz
PGS004794 (ldl_PRSmixPlus_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	6,433,913	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004794/ScoringFiles/PGS004794.txt.gz
PGS004915 (LDL-C_PGS)	PGP000647 \| Trinder M et al. Arterioscler Thromb Vasc Biol (2019)	LDL cholesterol	low density lipoprotein cholesterol measurement	223	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004915/ScoringFiles/PGS004915.txt.gz
PGS004936 (low_density_lipoprotein_cholesterol_measurement_combined)	PGP000665 \| Moreno-Grau S et al. Human Genomics (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	139,875	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004936/ScoringFiles/PGS004936.txt.gz
PGS004969 (LDLC_Mean_INT_ldpred_AFRss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004969/ScoringFiles/PGS004969.txt.gz
PGS004970 (LDLC_Mean_INT_ldpred_EURss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004970/ScoringFiles/PGS004970.txt.gz
PGS004971 (LDLC_Mean_INT_ldpred_HISss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004971/ScoringFiles/PGS004971.txt.gz
PGS004972 (LDLC_Mean_INT_ldpred_METAss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004972/ScoringFiles/PGS004972.txt.gz
PGS004973 (LDLC_Mean_INT_ldpred_METAss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004973/ScoringFiles/PGS004973.txt.gz
PGS004974 (LDLC_Mean_INT_ldpred_METAss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004974/ScoringFiles/PGS004974.txt.gz
PGS004975 (LDLC_Mean_INT_prscs_AFRss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004975/ScoringFiles/PGS004975.txt.gz
PGS004976 (LDLC_Mean_INT_prscs_EURss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004976/ScoringFiles/PGS004976.txt.gz
PGS004977 (LDLC_Mean_INT_prscs_HISss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004977/ScoringFiles/PGS004977.txt.gz
PGS004978 (LDLC_Mean_INT_prscs_METAss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004978/ScoringFiles/PGS004978.txt.gz
PGS004979 (LDLC_Mean_INT_prscs_METAss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004979/ScoringFiles/PGS004979.txt.gz
PGS004980 (LDLC_Mean_INT_prscs_METAss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004980/ScoringFiles/PGS004980.txt.gz
PGS004981 (LDLC_Mean_INT_prscsx_METAweight)	PGP000679 \| Gunn S et al. HGG Adv (2024)	LDL cholesterol	low density lipoprotein cholesterol measurement	1,277,825	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004981/ScoringFiles/PGS004981.txt.gz
PGS005248 (PGS4_QBB_9SNP)	PGP000743 \| Ismail Umlai UK et al. J Lipid Res (2025)	LDL-C levels	low density lipoprotein cholesterol measurement	9	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005248/ScoringFiles/PGS005248.txt.gz
PGS005249 (PGS5_QBB_6SNP)	PGP000743 \| Ismail Umlai UK et al. J Lipid Res (2025)	LDL-C levels	low density lipoprotein cholesterol measurement	6	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005249/ScoringFiles/PGS005249.txt.gz
PGS005250 (PGS14_QBB_14SNP)	PGP000743 \| Ismail Umlai UK et al. J Lipid Res (2025)	LDL-C levels	low density lipoprotein cholesterol measurement	14	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005250/ScoringFiles/PGS005250.txt.gz
PGS012517 (LDL)	PGP000786 \| Huang YJ et al. Nat Commun (2026)	LDL cholesterol	low density lipoprotein cholesterol measurement	245	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012517/ScoringFiles/PGS012517.txt.gz
PGS012525 (LDL_LD)	PGP000786 \| Huang YJ et al. Nat Commun (2026)	LDL cholesterol	low density lipoprotein cholesterol measurement	521,113	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012525/ScoringFiles/PGS012525.txt.gz

Performance Metrics

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

PGS Performance Metric ID (PPM)	Evaluated Score	PGS Sample Set ID (PSS)	Performance Source	Trait	PGS Effect Sizes (per SD change)	Classification Metrics	Other Metrics	Covariates Included in the Model	PGS Performance: Other Relevant Information
PPM000155	PGS000061 (GRS_LDL)	PSS000098\| European Ancestry\| 2,063 individuals	PGP000045 \| Johnson L et al. PLoS One (2015)	Reported Trait: Serum low-density lipoprotein (LDL) levels	β: 15.0	—	Beta (p-value): 0.0352	age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG	Association (p-value; unadjusted for covariates) < 0.001
PPM000156	PGS000061 (GRS_LDL)	PSS000097\| East Asian Ancestry\| 666 individuals	PGP000045 \| Johnson L et al. PLoS One (2015)	Reported Trait: Serum low-density lipoprotein (LDL) levels	β: 5.58	—	Beta (p-value): 0.697	age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG	Association (p-value; unadjusted for covariates) < 0.001
PPM000157	PGS000061 (GRS_LDL)	PSS000096\| African Ancestry\| 1,355 individuals	PGP000045 \| Johnson L et al. PLoS One (2015)	Reported Trait: Serum low-density lipoprotein (LDL) levels	β: 30.04	—	Beta (p-value): 0.00282	age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG	Association (p-value; unadjusted for covariates) < 0.001
PPM000158	PGS000061 (GRS_LDL)	PSS000099\| Hispanic or Latin American Ancestry\| 1,256 individuals	PGP000045 \| Johnson L et al. PLoS One (2015)	Reported Trait: Serum low-density lipoprotein (LDL) levels	β: 42.86	—	Beta (p-value): 2e-05	age, age^2, sex, GRS_HDL, GRS_TC, GRS_TG	Association (p-value; unadjusted for covariates) < 0.001
PPM000168	PGS000065 (GLGC2017_LDL)	PSS000104\| European Ancestry\| 9,962 individuals	PGP000046 \| Kuchenbaecker K et al. Nat Commun (2019)	Reported Trait: Serum low-density lipoprotein (LDL) levels	—	—	correlation (r): 0.274 [0.254, 0.294]	age, sex	Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000171	PGS000065 (GLGC2017_LDL)	PSS000102\| European Ancestry\| 1,641 individuals	PGP000046 \| Kuchenbaecker K et al. Nat Commun (2019)	Reported Trait: Serum low-density lipoprotein (LDL) levels	—	—	correlation (r): 0.229 [0.172, 0.286]	age, sex	Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000174	PGS000065 (GLGC2017_LDL)	PSS000103\| European Ancestry\| 1,945 individuals	PGP000046 \| Kuchenbaecker K et al. Nat Commun (2019)	Reported Trait: Serum low-density lipoprotein (LDL) levels	—	—	correlation (r): 0.29 [0.231, 0.349]	age, sex	Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000177	PGS000065 (GLGC2017_LDL)	PSS000100\| African Ancestry\| 6,407 individuals	PGP000046 \| Kuchenbaecker K et al. Nat Commun (2019)	Reported Trait: Serum low-density lipoprotein (LDL) levels	—	—	correlation (r): 0.28 [0.257, 0.304]	age, sex	Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000180	PGS000065 (GLGC2017_LDL)	PSS000101\| East Asian Ancestry\| 21,295 individuals	PGP000046 \| Kuchenbaecker K et al. Nat Commun (2019)	Reported Trait: Serum low-density lipoprotein (LDL) levels	—	—	correlation (r): 0.198 [0.161, 0.235]	age, sex, region, 20 PCs of genetic ancestry	Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA
PPM000780	PGS000310 (GRS194_LDL)	PSS000376\| European Ancestry\| 1,354 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Low-density lipoprotein (mmol/l)	—	—	R²: 0.1849	Sex, age, age^2	—
PPM000563	PGS000192 (GS9)	PSS000292\| European Ancestry\| 4,232 individuals	PGP000079 \| Kathiresan S et al. N Engl J Med (2008)	Reported Trait: Incident cardiovascular event	—	AUROC: 0.8	Hazard Ratio (HR; per allele): 1.15 [1.07, 1.24]	age, sex, family history of MI, LDL cholesterol, HDL cholesterol, triglycerides, blood pressure, body mass index, diabetes status, smoking status, CRP, lipid lowering medication	—
PPM000264	PGS000115 (LDL-C_20)	PSS000184\| European Ancestry\| 439,871 individuals	PGP000053 \| Trinder M et al. JAMA Cardiol (2020)	Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels	β: 28.01 (0.18)	—	R²: 0.09	age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)	—
PPM000265	PGS000115 (LDL-C_20)	PSS000183\| East Asian Ancestry\| 10,640 individuals	PGP000053 \| Trinder M et al. JAMA Cardiol (2020)	Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels	β: 21.73 (1.25)	—	R²: 0.06	age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)	—
PPM000266	PGS000115 (LDL-C_20)	PSS000181\| African Ancestry\| 4,680 individuals	PGP000053 \| Trinder M et al. JAMA Cardiol (2020)	Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels	β: 17.4 (1.91)	—	R²: 0.04	age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)	—
PPM000267	PGS000115 (LDL-C_20)	PSS000185\| Multi-ancestry (including European)\| 455,191 individuals	PGP000053 \| Trinder M et al. JAMA Cardiol (2020)	Reported Trait: Serum low density lipoprotein cholesterol (LDL-C) levels	β: 27.78 (0.18)	—	R²: 0.09	age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)	—
PPM000268	PGS000115 (LDL-C_20)	PSS000182\| Multi-ancestry (including European)\| 47,845 individuals	PGP000053 \| Trinder M et al. JAMA Cardiol (2020)	Reported Trait: Cardiovascular disease events	—	—	Hazard Ratio (HR; top vs. bottom decile of risk): 1.35 [1.3, 1.4]	age, sex, 4 PCs of genetic ancestry, genotyping method (array and batch)	—
PPM000562	PGS000192 (GS9)	PSS000292\| European Ancestry\| 4,232 individuals	PGP000079 \| Kathiresan S et al. N Engl J Med (2008)	Reported Trait: High-density lipoprotein (HDL) levels	—	—	Association p-value: 2.00e-18	—	—
PPM000561	PGS000192 (GS9)	PSS000292\| European Ancestry\| 4,232 individuals	PGP000079 \| Kathiresan S et al. N Engl J Med (2008)	Reported Trait: Low-density lipoprotein (LDL) levels	—	—	Association p-value: 3.00e-24	—	—
PPM000924	PGS000340 (LDL-Cpsp)	PSS000466\| European Ancestry\| 389,127 individuals	PGP000107 \| Trinder M et al. Circ Genom Precis Med (2020)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 0.82 (0.006)	—	R²: 0.074	Age, sex	—
PPM000923	PGS000340 (LDL-Cpsp)	PSS000465\| Multi-ancestry (including European)\| 1,120 individuals	PGP000107 \| Trinder M et al. Circ Genom Precis Med (2020)	Reported Trait: Low-density lipoprotein cholesterol levels in familial hypercholesterolemia mutation carriers	—	—	Beta (per 20% increase in PGS): 0.13 [0.072, 0.19]	—	—
PPM000925	PGS000340 (LDL-Cpsp)	PSS000465\| Multi-ancestry (including European)\| 1,120 individuals	PGP000107 \| Trinder M et al. Circ Genom Precis Med (2020)	Reported Trait: Atherosclerotic cardiovascular disease in familial hypercholesterolemia mutation carriers	—	—	Odds Ratio (OR; top 20% vs. rest): 1.48 [1.02, 2.14]	sex	—
PPM001361	PGS000661 (PRS-LDL)	PSS000588\| East Asian Ancestry\| 426 individuals	PGP000121 \| Tam CHT et al. Genome Med (2021)	Reported Trait: LDL choldesterol at baseline (log transformed)	β: 0.072 (0.012)	—	Pearson Correlation Coefficient (r): 0.255 Incremental R² (PRS and covariates vs. covariates-alone): 0.0672	age, sex, BMI, PCs	—
PPM001362	PGS000661 (PRS-LDL)	PSS000594\| East Asian Ancestry\| 4,917 individuals	PGP000121 \| Tam CHT et al. Genome Med (2021)	Reported Trait: LDL choldesterol at baseline (log transformed)	β: 0.059 (0.004)	—	Pearson Correlation Coefficient (r): 0.178 Incremental R² (PRS and covariates vs. covariates-alone): 0.0351	age, sex, BMI, PCs	—
PPM001363	PGS000661 (PRS-LDL)	PSS000590\| East Asian Ancestry\| 1,941 individuals	PGP000121 \| Tam CHT et al. Genome Med (2021)	Reported Trait: LDL choldesterol at baseline (log transformed)	β: 0.054 (0.006)	—	Pearson Correlation Coefficient (r): 0.19 Incremental R² (PRS and covariates vs. covariates-alone): 0.036	age, sex, BMI, PCs	—
PPM001364	PGS000661 (PRS-LDL)	PSS000592\| East Asian Ancestry\| 865 individuals	PGP000121 \| Tam CHT et al. Genome Med (2021)	Reported Trait: LDL choldesterol at baseline (log transformed)	β: 0.058 (0.01)	—	Pearson Correlation Coefficient (r): 0.195 Incremental R² (PRS and covariates vs. covariates-alone): 0.0374	age, sex, BMI, PCs	—
PPM001416	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000714\| African Ancestry\| 6,003 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	R²: 0.13357 Spearman's ρ: 0.289	Age, sex, PCs(1-40)	—
PPM001451	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000715\| East Asian Ancestry\| 1,082 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	R²: 0.13985 Spearman's ρ: 0.301	Age, sex, PCs(1-40)	—
PPM001486	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000716\| European Ancestry\| 23,535 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	R²: 0.26408 Spearman's ρ: 0.436	Age, sex, PCs(1-40)	—
PPM001521	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000717\| South Asian Ancestry\| 7,319 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	R²: 0.11217 Spearman's ρ: 0.289	Age, sex, PCs(1-40)	—
PPM001556	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000718\| European Ancestry\| 63,675 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	R²: 0.26409 Spearman's ρ: 0.446	Age, sex, PCs(1-40)	—
PPM001575	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000824\| European Ancestry\| 2,097 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	Spearman's ρ: 0.159	Age, sex	—
PPM001576	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS000825\| European Ancestry\| 1,987 individuals	PGP000128 \| Sinnott-Armstrong N et al. Nat Genet (2021)	Reported Trait: LDL cholesterol [mmol/L] (statin adjusted)	—	—	Spearman's ρ: 0.138	Age, sex	—
PPM012972	PGS000814 (GRS12_LDLc)	PSS009637\| Ancestry Not Reported\| 1,519 individuals	PGP000311 \| Olmastroni E et al. J Am Heart Assoc (2022) \|Ext.	Reported Trait: Polygenic hypercholesterolemia	—	AUROC: 0.59 [0.56, 0.62]	Sensitivity (%, cutoff of 0.905): 78.0 Specificity (%, cutoff of 0.905): 36.0	—	—
PPM002202	PGS000814 (GRS12_LDLc)	PSS001072\| Ancestry Not Reported\| 967 individuals	PGP000205 \| Rimbert A et al. Arterioscler Thromb Vasc Biol (2020) \|Ext.	Reported Trait: Liver steatosis	—	—	Odds Ratio (OR, polygenic vs monogenic hypobetalipoproteinemia cases): 0.13 [0.1, 1.16]	Age, sex	—
PPM002201	PGS000814 (GRS12_LDLc)	PSS001072\| Ancestry Not Reported\| 967 individuals	PGP000205 \| Rimbert A et al. Arterioscler Thromb Vasc Biol (2020) \|Ext.	Reported Trait: Hypobetalipoproteinemia	—	—	Percentage of cases with polygenic etiology (%): 34.0	—	Polygenic etiology = PRS<10th percentile
PPM002170	PGS000814 (GRS12_LDLc)	PSS001058\| European Ancestry\| 3,020 individuals	PGP000200 \| Talmud PJ et al. Lancet (2013)	Reported Trait: Low-density lipoprotein cholesterol level >4.9mmol/L	—	—	Risk Ratio (RR, top 10% vs bottom 10%): 4.17 [3.01, 5.78]	—	—
PPM002171	PGS000814 (GRS12_LDLc)	PSS001059\| European Ancestry\| 3,660 individuals	PGP000200 \| Talmud PJ et al. Lancet (2013)	Reported Trait: Low-density lipoprotein cholesterol level >4.9mmol/L in individuals who have familial hypercholestrolaemia and no known mutation	—	AUROC: 0.65 [0.62, 0.68]	—	—	—
PPM002168	PGS000814 (GRS12_LDLc)	PSS001058\| European Ancestry\| 3,020 individuals	PGP000200 \| Talmud PJ et al. Lancet (2013)	Reported Trait: Low-density lipoprotein (LDL) cholesterol	β: 0.33 [0.3, 0.37]	—	R²: 0.11	—	—
PPM002169	PGS000814 (GRS12_LDLc)	PSS001058\| European Ancestry\| 3,020 individuals	PGP000200 \| Talmud PJ et al. Lancet (2013)	Reported Trait: Low-density lipoprotein (LDL) cholesterol	β: 0.34 [0.31, 0.38]	—	—	Sex, age, lipid-lowering drug use, body-mass index, diabetes status, smoking status, blood pressure	—
PPM002230	PGS000824 (LDL-C_PGS)	PSS001083\| Multi-ancestry (including European)\| 2,531 individuals	PGP000210 \| Zubair N et al. Sci Rep (2019)	Reported Trait: Low density lipoprotein cholesterol	—	—	R²: 0.111	Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor	—
PPM002313	PGS000846 (LDL)	PSS001086\| European Ancestry\| 3,194 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Autoimmune Diabetes	OR: 1.02 [0.92, 1.13]	—	—	PC1-10	—
PPM002588	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.162	sex, PC1-4, birth year, and mean age	—
PPM002500	PGS000875 (PGS36_LDLc)	PSS001124\| European Ancestry\| 4,787 individuals	PGP000221 \| Leal LG et al. Mol Genet Genomic Med (2020)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.08	Age, gender, body mass index, ancestry differences captured by the first two components from multidimensional scaling	—
PPM002501	PGS000875 (PGS36_LDLc)	PSS001124\| European Ancestry\| 4,787 individuals	PGP000221 \| Leal LG et al. Mol Genet Genomic Med (2020)	Reported Trait: Severe hypercholesterolemia	—	—	Risk Ratio (RR, top 30% vs bottom 30%): 4.8 [2.6, 8.9]	—	—
PPM002502	PGS000875 (PGS36_LDLc)	PSS001124\| European Ancestry\| 4,787 individuals	PGP000221 \| Leal LG et al. Mol Genet Genomic Med (2020)	Reported Trait: Low-density lipoprotein cholesterol	—	AUROC: 0.67	—	—	—
PPM002503	PGS000814 (GRS12_LDLc)	PSS001124\| European Ancestry\| 4,787 individuals	PGP000221 \| Leal LG et al. Mol Genet Genomic Med (2020) \|Ext.	Reported Trait: Low-density lipoprotein cholesterol	—	AUROC: 0.65	—	—	—
PPM002545	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001146\| African Ancestry\| 3,566 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.125	age, sex, PC1-3	—
PPM002546	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001144\| African Ancestry\| 4,273 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.114	age, sex, PC1-3	—
PPM002547	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001145\| African Ancestry\| 707 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.067	age, sex, PC1-3	—
PPM002548	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001146\| African Ancestry\| 3,566 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.123	age, sex, PC1-3	—
PPM002549	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001144\| African Ancestry\| 4,273 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.052	age, sex, PC1-3	—
PPM002550	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001145\| African Ancestry\| 707 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.063	age, sex, PC1-3	—
PPM002551	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001146\| African Ancestry\| 3,566 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.055	age, sex, PC1-3	—
PPM002552	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001147\| African Ancestry\| 10,460 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.173	age, sex, PC1-6	—
PPM002553	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001147\| African Ancestry\| 10,460 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.122	age, sex, PC1-6	—
PPM002555	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001148\| African Ancestry\| 1,745 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.069	age, sex, PC1-6	—
PPM002556	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001148\| African Ancestry\| 1,745 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.041	age, sex, PC1-6	—
PPM002557	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001149\| African Ancestry\| 4,972 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.128	age, sex, PC1-6	—
PPM002558	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001149\| African Ancestry\| 4,972 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.108	age, sex, PC1-6	—
PPM002559	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001149\| African Ancestry\| 4,972 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.04	age, sex, PC1-6	—
PPM002560	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001150\| African Ancestry\| 3,743 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.076	age, sex, and PC1-4	—
PPM002561	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001150\| African Ancestry\| 3,743 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.075	age, sex, and PC1-4	—
PPM002562	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001150\| African Ancestry\| 3,743 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.022	age, sex, and PC1-4	—
PPM002563	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001151\| South Asian Ancestry\| 15,242 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Max LDL cholesterol	—	—	R²: 0.069	age, sex, and PC1-10	—
PPM002565	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001151\| South Asian Ancestry\| 15,242 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Max LDL cholesterol	—	—	R²: 0.096	age, sex, and PC1-10	—
PPM002566	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001151\| South Asian Ancestry\| 15,242 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Max LDL cholesterol	—	—	R²: 0.088	age, sex, and PC1-10	—
PPM002567	PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PSS001151\| South Asian Ancestry\| 15,242 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Max LDL cholesterol	—	—	R²: 0.077	age, sex, and PC1-10	—
PPM002568	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001152\| East Asian Ancestry\| 118,260 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.051	age, sex, and recruitment area	—
PPM002569	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001152\| East Asian Ancestry\| 118,260 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.095	age, sex, and recruitment area	—
PPM002570	PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PSS001152\| East Asian Ancestry\| 118,260 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.098	age, sex, and recruitment area	—
PPM002571	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001152\| East Asian Ancestry\| 118,260 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.094	age, sex, and recruitment area	—
PPM002573	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001152\| East Asian Ancestry\| 118,260 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.064	age, sex, and recruitment area	—
PPM002574	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001153\| African Ancestry\| 1,341 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.115	sex, batch, PC1-4, and birth year	—
PPM002575	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001154\| European Ancestry\| 17,190 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.074	sex, batch, PC1-4, and birth year	—
PPM002576	PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS)	PSS001153\| African Ancestry\| 1,341 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.064	sex, batch, PC1-4, and birth year	—
PPM002578	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001153\| African Ancestry\| 1,341 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.122	sex, batch, PC1-4, and birth year	—
PPM002579	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001154\| European Ancestry\| 17,190 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.13	sex, batch, PC1-4, and birth year	—
PPM002580	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001153\| African Ancestry\| 1,341 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.058	sex, batch, PC1-4, and birth year	—
PPM002581	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001154\| European Ancestry\| 17,190 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.123	sex, batch, PC1-4, and birth year	—
PPM002582	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001153\| African Ancestry\| 1,341 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.062	sex, batch, PC1-4, and birth year	—
PPM002583	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001154\| European Ancestry\| 17,190 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.129	sex, batch, PC1-4, and birth year	—
PPM002584	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.148	sex, PC1-4, birth year, and mean age	—
PPM002585	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.063	sex, PC1-4, birth year, and mean age	—
PPM002587	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.071	sex, PC1-4, birth year, and mean age	—
PPM002589	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.1	sex, PC1-4, birth year, and mean age	—
PPM002590	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.158	sex, PC1-4, birth year, and mean age	—
PPM002591	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.134	sex, PC1-4, birth year, and mean age	—
PPM002592	PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.056	sex, PC1-4, birth year, and mean age	—
PPM002593	PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.098	sex, PC1-4, birth year, and mean age	—
PPM002594	PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.083	sex, PC1-4, birth year, and mean age	—
PPM002595	PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.057	sex, PC1-4, birth year, and mean age	—
PPM002596	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.041	sex, PC1-4, birth year, and mean age	—
PPM002598	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.083	sex, PC1-4, birth year, and mean age	—
PPM002599	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.063	sex, PC1-4, birth year, and mean age	—
PPM002600	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.042	sex, PC1-4, birth year, and mean age	—
PPM002601	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.066	sex, PC1-4, birth year, and mean age	—
PPM002602	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.152	sex, PC1-4, birth year, and mean age	—
PPM002603	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.106	sex, PC1-4, birth year, and mean age	—
PPM002604	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.04	sex, PC1-4, birth year, and mean age	—
PPM002605	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.067	sex, PC1-4, birth year, and mean age	—
PPM002606	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.153	sex, PC1-4, birth year, and mean age	—
PPM002607	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.114	sex, PC1-4, birth year, and mean age	—
PPM002609	PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.079	sex, PC1-4, birth year, and mean age	—
PPM002610	PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.119	sex, PC1-4, birth year, and mean age	—
PPM002611	PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.102	sex, PC1-4, birth year, and mean age	—
PPM002612	PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.076	sex, PC1-4, birth year, and mean age	—
PPM002613	PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.067	sex, PC1-4, birth year, and mean age	—
PPM002614	PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.101	sex, PC1-4, birth year, and mean age	—
PPM002615	PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PSS001159\| Hispanic or Latin American Ancestry\| 7,669 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.069	sex, PC1-4, birth year, and mean age	—
PPM002616	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001160\| African Ancestry\| 2,138 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.129	birth year, sex, and PC1-4	—
PPM002617	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001160\| African Ancestry\| 2,138 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.132	birth year, sex, and PC1-4	—
PPM002618	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001160\| African Ancestry\| 2,138 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.069	birth year, sex, and PC1-4	—
PPM002620	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001161\| East Asian Ancestry\| 28,217 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.094	sex, age, recruitment method, and PC1-20	—
PPM002621	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001161\| East Asian Ancestry\| 28,217 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.074	sex, age, recruitment method, and PC1-20	—
PPM002622	PGS000892 (GLGC_2021_EUR_LDL_PRS_weights_PRS-CS)	PSS001165\| European Ancestry\| 389,158 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.182	sex, batch, age at initial assessment, PCs1-4	—
PPM002623	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001165\| European Ancestry\| 389,158 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.176	sex, batch, age at initial assessment, PCs1-4	—
PPM002624	PGS000888 (GLGC_2021_ALL_LDL_PRS_weights_PRS-CS)	PSS001162\| Multi-ancestry (including European)\| 461,918 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.175	sex, batch, age at initial assessment, PCs1-4	—
PPM002625	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001162\| Multi-ancestry (including European)\| 461,918 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.182	sex, batch, age at initial assessment, PCs1-4	—
PPM002626	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001164\| East Asian Ancestry\| 1,441 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.113	sex, batch, age at initial assessment, PCs1-4	—
PPM002627	PGS000891 (GLGC_2021_EAS_LDL_PRS_weights_PT)	PSS001164\| East Asian Ancestry\| 1,441 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.1	sex, batch, age at initial assessment, PCs1-4	—
PPM002628	PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS)	PSS001163\| African Ancestry\| 6,863 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.112	sex, batch, age at initial assessment, PCs1-4	—
PPM002629	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001163\| African Ancestry\| 6,863 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.175	sex, batch, age at initial assessment, PCs1-4	—
PPM002630	PGS000896 (GLGC_2021_SAS_LDL_PRS_weights_PRS-CS)	PSS001166\| South Asian Ancestry\| 6,814 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.04	sex, batch, age at initial assessment, PCs1-4	—
PPM002631	PGS000897 (GLGC_2021_SAS_LDL_PRS_weights_PT)	PSS001166\| South Asian Ancestry\| 6,814 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.058	sex, batch, age at initial assessment, PCs1-4	—
PPM002632	PGS000894 (GLGC_2021_HIS_LDL_PRS_weights_PRS-CS)	PSS001155\| Hispanic or Latin American Ancestry\| 360 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.023	sex, batch, PC1-4, and birth year	—
PPM002633	PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT)	PSS001155\| Hispanic or Latin American Ancestry\| 360 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.088	sex, batch, PC1-4, and birth year	—
PPM002316	PGS000846 (LDL)	PSS001085\| European Ancestry\| 4,116 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Obesity-related Diabetes	OR: 1.0 [0.94, 1.07]	—	—	PC1-10	—
PPM002317	PGS000846 (LDL)	PSS001084\| European Ancestry\| 5,597 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Moderate Age-Related Diabetes	OR: 0.95 [0.9, 1.0]	—	—	PC1-10	—
PPM002315	PGS000846 (LDL)	PSS001088\| European Ancestry\| 3,869 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Resistant Diabetes	OR: 0.92 [0.86, 0.99]	—	—	PC1-10	—
PPM002314	PGS000846 (LDL)	PSS001087\| European Ancestry\| 3,930 individuals	PGP000211 \| Aly DM et al. Nat Genet (2021)	Reported Trait: Severe Insulin-Deficient Diabetes	OR: 0.95 [0.89, 1.02]	—	—	PC1-10	—
PPM007365	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS007171\| African Ancestry\| 6,086 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022) \|Ext.	Reported Trait: LDL cholesterol	—	—	R²: 0.05912 [0.048, 0.07024] Incremental R2 (full-covars): 0.05479 PGS R2 (no covariates): 0.06663 [0.05492, 0.07834]	age, sex, UKB array type, Genotype PCs	—
PPM007366	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS007172\| East Asian Ancestry\| 1,615 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022) \|Ext.	Reported Trait: LDL cholesterol	—	—	R²: 0.06107 [0.03908, 0.08305] Incremental R2 (full-covars): 0.0498 PGS R2 (no covariates): 0.07486 [0.05087, 0.09885]	age, sex, UKB array type, Genotype PCs	—
PPM007367	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS007173\| European Ancestry\| 23,728 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022) \|Ext.	Reported Trait: LDL cholesterol	—	—	R²: 0.10564 [0.09842, 0.11286] Incremental R2 (full-covars): 0.096 PGS R2 (no covariates): 0.11974 [0.11218, 0.12731]	age, sex, UKB array type, Genotype PCs	—
PPM007368	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS007174\| South Asian Ancestry\| 7,407 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022) \|Ext.	Reported Trait: LDL cholesterol	—	—	R²: 0.05634 [0.04642, 0.06625] Incremental R2 (full-covars): 0.02423 PGS R2 (no covariates): 0.03502 [0.02702, 0.04301]	age, sex, UKB array type, Genotype PCs	—
PPM007369	PGS000688 (snpnet.LDL_direct_adjstatins)	PSS007175\| European Ancestry\| 64,356 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022) \|Ext.	Reported Trait: LDL cholesterol	—	—	R²: 0.09533 [0.09111, 0.09955] Incremental R2 (full-covars): 0.08543 PGS R2 (no covariates): 0.10869 [0.10426, 0.11313]	age, sex, UKB array type, Genotype PCs	—
PPM010339	PGS001933 (portability-PLR_LDL)	PSS009376\| European Ancestry\| 18,968 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.3331 [0.3204, 0.3457]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010340	PGS001933 (portability-PLR_LDL)	PSS009150\| European Ancestry\| 3,946 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.3496 [0.3219, 0.3768]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010341	PGS001933 (portability-PLR_LDL)	PSS008704\| European Ancestry\| 6,312 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.3177 [0.2953, 0.3397]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010342	PGS001933 (portability-PLR_LDL)	PSS008478\| Greater Middle Eastern Ancestry\| 1,122 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.297 [0.2422, 0.3499]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010343	PGS001933 (portability-PLR_LDL)	PSS008256\| South Asian Ancestry\| 5,987 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2086 [0.1842, 0.2327]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010344	PGS001933 (portability-PLR_LDL)	PSS008034\| East Asian Ancestry\| 1,716 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2593 [0.2144, 0.3032]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010345	PGS001933 (portability-PLR_LDL)	PSS007820\| African Ancestry\| 2,338 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2864 [0.2486, 0.3234]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012054	PGS002150 (portability-ldpred2_LDL)	PSS008924\| African Ancestry\| 3,651 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2251 [0.194, 0.2558]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012047	PGS002150 (portability-ldpred2_LDL)	PSS009376\| European Ancestry\| 18,968 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.3346 [0.3219, 0.3472]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012048	PGS002150 (portability-ldpred2_LDL)	PSS009150\| European Ancestry\| 3,946 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.3475 [0.3197, 0.3747]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012049	PGS002150 (portability-ldpred2_LDL)	PSS008704\| European Ancestry\| 6,312 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.3081 [0.2856, 0.3303]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012050	PGS002150 (portability-ldpred2_LDL)	PSS008478\| Greater Middle Eastern Ancestry\| 1,122 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2975 [0.2427, 0.3504]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012051	PGS002150 (portability-ldpred2_LDL)	PSS008256\| South Asian Ancestry\| 5,987 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2191 [0.1948, 0.2431]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012052	PGS002150 (portability-ldpred2_LDL)	PSS008034\| East Asian Ancestry\| 1,716 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2555 [0.2104, 0.2994]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012053	PGS002150 (portability-ldpred2_LDL)	PSS007820\| African Ancestry\| 2,338 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.294 [0.2563, 0.3307]	sex, age, birth date, deprivation index, 16 PCs	—
PPM002543	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001144\| African Ancestry\| 4,273 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.118	age, sex, PC1-3	—
PPM002544	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001145\| African Ancestry\| 707 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.101	age, sex, PC1-3	—
PPM002554	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001148\| African Ancestry\| 1,745 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.085	age, sex, PC1-6	—
PPM002564	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001151\| South Asian Ancestry\| 15,242 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Max LDL cholesterol	—	—	R²: 0.105	age, sex, and PC1-10	—
PPM002572	PGS000893 (GLGC_2021_EUR_LDL_PRS_weights_PT)	PSS001152\| East Asian Ancestry\| 118,260 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.071	age, sex, and recruitment area	—
PPM002577	PGS000886 (GLGC_2021_AFR_LDL_PRS_weights_PRS-CS)	PSS001154\| European Ancestry\| 17,190 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.056	sex, batch, PC1-4, and birth year	—
PPM002586	PGS000887 (GLGC_2021_AFR_LDL_PRS_weights_PT)	PSS001158\| European Ancestry\| 68,381 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.103	sex, PC1-4, birth year, and mean age	—
PPM002597	PGS000890 (GLGC_2021_EAS_LDL_PRS_weights_PRS-CS)	PSS001157\| Additional Asian Ancestries\| 4,155 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.09	sex, PC1-4, birth year, and mean age	—
PPM002608	PGS000895 (GLGC_2021_HIS_LDL_PRS_weights_PT)	PSS001156\| African Ancestry\| 18,251 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Mean LDL cholesterol	—	—	R²: 0.1	sex, PC1-4, birth year, and mean age	—
PPM002619	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS001161\| East Asian Ancestry\| 28,217 individuals	PGP000230 \| Graham SE et al. Nature (2021)	Reported Trait: Baseline LDL cholesterol	—	—	R²: 0.098	sex, age, recruitment method, and PC1-20	—
PPM010346	PGS001933 (portability-PLR_LDL)	PSS008924\| African Ancestry\| 3,651 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: LDL direct	—	—	Partial Correlation (partial-r): 0.2203 [0.1891, 0.251]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012859	PGS000115 (LDL-C_20)	PSS009580\| European Ancestry\| 33,787 individuals	PGP000284 \| Tapela NM et al. Eur J Prev Cardiol (2021) \|Ext.	Reported Trait: Uncontrolled hypercholesterolaemia	—	—	Odds Ratio (OR, top vs. bottom quintile): 2.78 [2.58, 3.0]	age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline	218 SNPs remained after QC
PPM012860	PGS000115 (LDL-C_20)	PSS009577\| European Ancestry\| 33,787 individuals	PGP000284 \| Tapela NM et al. Eur J Prev Cardiol (2021) \|Ext.	Reported Trait: Incident major adverse cardiovascular events in statin treatment	—	—	Hazard Ratio (HR, top vs. bottom quintile): 1.03 [0.92, 1.14]	age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline	218 SNPs remained after QC
PPM012861	PGS000115 (LDL-C_20)	PSS009578\| European Ancestry\| 33,787 individuals	PGP000284 \| Tapela NM et al. Eur J Prev Cardiol (2021) \|Ext.	Reported Trait: Incident myocardial infarction in statin treatment	—	—	Hazard Ratio (HR, top vs. bottom quintile): 1.08 [0.95, 1.23]	age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline	218 SNPs remained after QC
PPM012862	PGS000115 (LDL-C_20)	PSS009579\| European Ancestry\| 33,787 individuals	PGP000284 \| Tapela NM et al. Eur J Prev Cardiol (2021) \|Ext.	Reported Trait: Incident stroke in statin treatment	—	—	Hazard Ratio (HR, top vs. bottom quintile): 0.93 [0.77, 1.12]	age, sex, socioeconomic characteristics (education, occupation, Townsend deprivation score, and country of residence), metabolic and lifestyle CVD risk factors (smoking status, body mass index, physical activity in METS, and weekly alcohol consumption), family history of CVD (diagnosis at any age), and the first four principal components of genetic ancestry, genotyping array and systolic blood pressure at baseline	218 SNPs remained after QC
PPM012944	PGS002274 (LDL-PRS)	PSS009627\| European Ancestry\| 4,416 individuals	PGP000303 \| Groenland EH et al. Atherosclerosis (2022)	Reported Trait: Low-density lipoprotein cholesterol	β: 0.18 [0.15, 0.21]	—	—	Age, sex, the first 5 principal components, BMI, T2DM, smoking, alcohol use, systolic blood pressure, eGFR, triglycerides, lipid-lowering medication	—
PPM012983	PGS002285 (GRS_286_LDL)	PSS009639\| African Ancestry\| 2,569 individuals	PGP000313 \| Kamiza AB et al. Nat Med (2022)	Reported Trait: Low density lipoprotein cholesterol levels	—	—	R²: 0.0814	age, sex, type 2 diabetes, PC1, PC2, PC3, PC4, PC5	Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment)
PPM014797	PGS002730 (GRSlipid_35)	PSS009892\| European Ancestry\| 75,973 individuals	PGP000337 \| Mayerhofer E et al. Brain (2022)	Reported Trait: On-statin LDL decrease	β: -0.05 [-0.07, -0.02]	—	—	—	—
PPM013054	PGS000814 (GRS12_LDLc)	PSS009666\| South Asian Ancestry\| 7,016 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: LDL-C concentration	—	—	R²: 0.049 [0.035, 0.063]	Age, sex	—
PPM013055	PGS000814 (GRS12_LDLc)	PSS009668\| European Ancestry\| 353,166 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: LDL-C concentration >4.9 mmol/L	OR: 11.01 [10.08, 12.04]	—	—	—	—
PPM013056	PGS000814 (GRS12_LDLc)	PSS009667\| African Ancestry\| 7,082 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: LDL-C concentration >4.9 mmol/L	OR: 10.54 [5.29, 21.67]	—	—	—	—
PPM013057	PGS000814 (GRS12_LDLc)	PSS009666\| South Asian Ancestry\| 7,016 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: LDL-C concentration >4.9 mmol/L	OR: 6.64 [2.98, 15.22]	—	—	—	—
PPM013058	PGS000814 (GRS12_LDLc)	PSS009668\| European Ancestry\| 353,166 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: Coronary heart disease	OR: 1.76 [1.56, 1.99]	—	—	—	—
PPM014798	PGS002730 (GRSlipid_35)	PSS009892\| European Ancestry\| 75,973 individuals	PGP000337 \| Mayerhofer E et al. Brain (2022)	Reported Trait: Incident intracerebral hemorrhage	HR: 1.16 [1.05, 1.28]	—	—	—	—
PPM014799	PGS002730 (GRSlipid_35)	PSS009892\| European Ancestry\| 75,973 individuals	PGP000337 \| Mayerhofer E et al. Brain (2022)	Reported Trait: Incident myocardial infarction	HR: 0.98 [0.96, 0.99]	—	—	—	—
PPM014800	PGS002730 (GRSlipid_35)	PSS009892\| European Ancestry\| 75,973 individuals	PGP000337 \| Mayerhofer E et al. Brain (2022)	Reported Trait: Incident Peripheral Artery Disease	HR: 0.93 [0.87, 0.99]	—	—	—	—
PPM013059	PGS000814 (GRS12_LDLc)	PSS009667\| African Ancestry\| 7,082 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: Coronary heart disease	OR: 2.26 [0.78, 7.22]	—	—	—	—
PPM013060	PGS000814 (GRS12_LDLc)	PSS009666\| South Asian Ancestry\| 7,016 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: Coronary heart disease	OR: 1.24 [0.62, 2.53]	—	—	—	—
PPM013061	PGS000814 (GRS12_LDLc)	PSS009668\| European Ancestry\| 353,166 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: Coronary heart disease	OR: 1.25 [1.13, 1.39]	—	—	—	—
PPM013062	PGS000814 (GRS12_LDLc)	PSS009667\| African Ancestry\| 7,082 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: Coronary heart disease	OR: 1.09 [0.48, 2.58]	—	—	—	—
PPM013063	PGS000814 (GRS12_LDLc)	PSS009666\| South Asian Ancestry\| 7,016 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: Coronary heart disease	OR: 1.98 [0.95, 4.25]	—	—	—	—
PPM013052	PGS000814 (GRS12_LDLc)	PSS009668\| European Ancestry\| 353,166 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: LDL-C concentration	—	—	R²: 0.108 [0.105, 0.111]	Age, sex	—
PPM013053	PGS000814 (GRS12_LDLc)	PSS009667\| African Ancestry\| 7,082 individuals	PGP000330 \| Gratton J et al. Front Genet (2022) \|Ext.	Reported Trait: LDL-C concentration	—	—	R²: 0.105 [0.086, 0.124]	Age, sex	—
PPM015917	PGS003032 (ExPRSweb_LDL_30780-irnt_DBSLMM_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.6 (0.282)	—	R²: 0.0687	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015918	PGS003029 (ExPRSweb_LDL_30780-irnt_LASSOSUM_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.06 (0.286)	—	R²: 0.0594	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015919	PGS003031 (ExPRSweb_LDL_30780-irnt_PLINK_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.23 (0.283)	—	R²: 0.0635	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015920	PGS003033 (ExPRSweb_LDL_30780-irnt_PRSCS_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.36 (0.284)	—	R²: 0.0649	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015921	PGS003030 (ExPRSweb_LDL_30780-irnt_PT_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.07 (0.283)	—	R²: 0.061	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015922	PGS003037 (ExPRSweb_LDL_30780-raw_DBSLMM_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.9 (0.281)	—	R²: 0.0753	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015924	PGS003036 (ExPRSweb_LDL_30780-raw_PLINK_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.17 (0.283)	—	R²: 0.0625	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015925	PGS003038 (ExPRSweb_LDL_30780-raw_PRSCS_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.42 (0.285)	—	R²: 0.0656	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015926	PGS003035 (ExPRSweb_LDL_30780-raw_PT_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.09 (0.283)	—	R²: 0.0612	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015923	PGS003034 (ExPRSweb_LDL_30780-raw_LASSOSUM_MGI_20211120)	PSS010010\| European Ancestry\| 9,288 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: LDL	β: 7.06 (0.286)	—	R²: 0.0593	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM016178	PGS003339 (CVGRS_LDL)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: LDL cholesterol level	β: 0.31083	—	—	—	—
PPM016187	PGS003348 (ALLGRS_LDL)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: LDL cholesterol level	β: 0.31961	—	—	—	—
PPM016195	PGS003339 (CVGRS_LDL)	PSS010055\| East Asian Ancestry\| 22,608 individuals	PGP000405 \| Kim YJ et al. Nat Commun (2022)	Reported Trait: Type 2 diabetes	OR: 0.99947	—	—	—	—
PPM016205	PGS000814 (GRS12_LDLc)	PSS010056\| Greater Middle Eastern Ancestry\| 6,140 individuals	PGP000406 \| Gandhi GD et al. J Transl Med (2022) \|Ext.	Reported Trait: Probable vs. unlikely dyslipidemia	—	—	p: 0.0003	—	—
PPM016207	PGS000814 (GRS12_LDLc)	PSS010058\| Ancestry Not Reported\| 237 individuals	PGP000408 \| Borg SÁ et al. Atheroscler Plus (2022) \|Ext.	Reported Trait: Coronary artery calcium score >0 in potential clinical FH cases	—	—	Odds ratio (OR, >80 percentile vs <= 80 percentile): 8.05 [1.65, 39.29]	Smoking, hypertension, waist circumference and lipoprotein(a)	—
PPM017043	PGS003404 (wGRS)	PSS010103\| Multi-ancestry (including European)\| 313 individuals	PGP000421 \| Wang J et al. Arterioscler Thromb Vasc Biol (2016)	Reported Trait: FH mutation-negative with severe hypercholesterolemia	OR: 3.02 [1.61, 5.68]	—	—	—	—
PPM017041	PGS003403 (PRS28_LDL)	PSS010102\| European Ancestry\| 626 individuals	PGP000420 \| Trinder M et al. J Am Coll Cardiol (2019)	Reported Trait: LDL-C levels	—	—	pvalue (High >=80 percentile vs lower <80th percentile): 0.03	—	—
PPM017044	PGS003405 (165SNP_PRS)	PSS010104\| European Ancestry\| 89,528 individuals	PGP000422 \| Vanhoye X et al. Transl Res (2022)	Reported Trait: LDL-c blood concentration	β: 0.31 [0.3, 0.31]	AUROC: 0.6901 [0.684, 0.696]	R²: 0.1979	Age, BMI, sex, age	—
PPM017045	PGS000814 (GRS12_LDLc)	PSS010104\| European Ancestry\| 89,528 individuals	PGP000422 \| Vanhoye X et al. Transl Res (2022) \|Ext.	Reported Trait: LDL-c blood concentration	β: 0.25 [0.25, 0.26]	AUROC: 0.6503 [0.644, 0.657]	R²: 0.1055	Age, BMI, sex, age	—
PPM017046	PGS003403 (PRS28_LDL)	PSS010104\| European Ancestry\| 89,528 individuals	PGP000422 \| Vanhoye X et al. Transl Res (2022) \|Ext.	Reported Trait: LDL-c blood concentration	β: 0.18 [0.18, 0.18]	AUROC: 0.6233 [0.617, 0.63]	R²: 0.1055	Age, BMI, sex, age	—
PPM017047	PGS003404 (wGRS)	PSS010104\| European Ancestry\| 89,528 individuals	PGP000422 \| Vanhoye X et al. Transl Res (2022) \|Ext.	Reported Trait: LDL-c blood concentration	β: 0.16 [0.15, 0.16]	AUROC: 0.6072 [0.6, 0.614]	R²: 0.09317	Age, BMI, sex, age	—
PPM017042	PGS003403 (PRS28_LDL)	PSS010102\| European Ancestry\| 626 individuals	PGP000420 \| Trinder M et al. J Am Coll Cardiol (2019)	Reported Trait: Cardiovascular disease events in patients with monogenic familial hypercholesterolemia	—	—	Adjusted Hazard Ratio (aHR; top 20% vs. remaining): 3.06 [1.56, 5.99]	age, sex, LDL-C, diabetes mellitus, and hypertension	—
PPM013102	PGS002337 (biochemistry_LDLdirect.BOLT-LMM)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0733	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013151	PGS002337 (biochemistry_LDLdirect.BOLT-LMM)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0681	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013200	PGS002337 (biochemistry_LDLdirect.BOLT-LMM)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.11	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013249	PGS002337 (biochemistry_LDLdirect.BOLT-LMM)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0479	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013281	PGS002369 (biochemistry_LDLdirect.BOLT-LMM-BBJ)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0314	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013304	PGS002369 (biochemistry_LDLdirect.BOLT-LMM-BBJ)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.037	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013327	PGS002369 (biochemistry_LDLdirect.BOLT-LMM-BBJ)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0112	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013390	PGS002409 (biochemistry_LDLdirect.P+T.0.0001)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0019	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013439	PGS002409 (biochemistry_LDLdirect.P+T.0.0001)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0268	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013488	PGS002409 (biochemistry_LDLdirect.P+T.0.0001)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0733	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013586	PGS002458 (biochemistry_LDLdirect.P+T.0.001)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0011	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013635	PGS002458 (biochemistry_LDLdirect.P+T.0.001)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0162	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013684	PGS002458 (biochemistry_LDLdirect.P+T.0.001)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0672	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013733	PGS002458 (biochemistry_LDLdirect.P+T.0.001)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0065	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013782	PGS002507 (biochemistry_LDLdirect.P+T.0.01)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0002	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013831	PGS002507 (biochemistry_LDLdirect.P+T.0.01)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0016	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013929	PGS002507 (biochemistry_LDLdirect.P+T.0.01)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0002	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013978	PGS002556 (biochemistry_LDLdirect.P+T.1e-06)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0407	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014027	PGS002556 (biochemistry_LDLdirect.P+T.1e-06)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0185	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014076	PGS002556 (biochemistry_LDLdirect.P+T.1e-06)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0705	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014125	PGS002556 (biochemistry_LDLdirect.P+T.1e-06)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0205	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014174	PGS002605 (biochemistry_LDLdirect.P+T.5e-08)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0428	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014223	PGS002605 (biochemistry_LDLdirect.P+T.5e-08)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0167	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014272	PGS002605 (biochemistry_LDLdirect.P+T.5e-08)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0679	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014321	PGS002605 (biochemistry_LDLdirect.P+T.5e-08)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0195	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014370	PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1091	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See biochemistry_LDLdirect.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014419	PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0724	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See biochemistry_LDLdirect.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014468	PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1195	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See biochemistry_LDLdirect.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014517	PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0528	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See biochemistry_LDLdirect.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014566	PGS002703 (biochemistry_LDLdirect.SBayesR)	PSS009791\| African Ancestry\| 6,068 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0612	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014664	PGS002703 (biochemistry_LDLdirect.SBayesR)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.1011	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014713	PGS002703 (biochemistry_LDLdirect.SBayesR)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0377	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013350	PGS002369 (biochemistry_LDLdirect.BOLT-LMM-BBJ)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0091	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013537	PGS002409 (biochemistry_LDLdirect.P+T.0.0001)	PSS009794\| South Asian Ancestry\| 7,638 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0203	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013880	PGS002507 (biochemistry_LDLdirect.P+T.0.01)	PSS009793\| European Ancestry\| 41,139 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0127	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014615	PGS002703 (biochemistry_LDLdirect.SBayesR)	PSS009792\| East Asian Ancestry\| 875 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: LDL Cholesterol	—	—	Incremental R2 (full model vs. covariates alone): 0.0478	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM017284	PGS003474 (LDPred2_LDL)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Respiratory event index	β: 0.001 (0.01)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017307	PGS003474 (LDPred2_LDL)	PSS010185\| Hispanic or Latin American Ancestry\| 1,115 individuals	PGP000456 \| Zhang Y et al. EBioMedicine (2022)	Reported Trait: Obstructive sleep apnea	β: -0.023 (0.025)	—	—	Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI	—
PPM017445	PGS003517 (cont-decay-LDL)	PSS010879\| European Ancestry\| 19,077 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.11	sex, age, deprivation index, PC1-16	—
PPM017529	PGS003517 (cont-decay-LDL)	PSS010795\| European Ancestry\| 3,935 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.12	sex, age, deprivation index, PC1-16	—
PPM017697	PGS003517 (cont-decay-LDL)	PSS010543\| Greater Middle Eastern Ancestry\| 1,093 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM017781	PGS003517 (cont-decay-LDL)	PSS010207\| European Ancestry\| 2,235 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.07	sex, age, deprivation index, PC1-16	—
PPM017865	PGS003517 (cont-decay-LDL)	PSS010459\| South Asian Ancestry\| 5,934 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.04	sex, age, deprivation index, PC1-16	—
PPM017949	PGS003517 (cont-decay-LDL)	PSS010375\| East Asian Ancestry\| 1,705 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM018033	PGS003517 (cont-decay-LDL)	PSS010291\| African Ancestry\| 2,326 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.08	sex, age, deprivation index, PC1-16	—
PPM018117	PGS003517 (cont-decay-LDL)	PSS010711\| African Ancestry\| 3,622 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.05	sex, age, deprivation index, PC1-16	—
PPM017613	PGS003517 (cont-decay-LDL)	PSS010627\| European Ancestry\| 6,160 individuals	PGP000457 \| Ding Y et al. Nature (2023)	Reported Trait: LDL direct	—	—	partial-R2: 0.09	sex, age, deprivation index, PC1-16	—
PPM018591	PGS003784 (LDL_EUR_CT)	PSS011045\| European Ancestry\| 9,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.07541	—	—
PPM018592	PGS003785 (LDL_EUR_LDpred2)	PSS011045\| European Ancestry\| 9,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.05473	—	—
PPM018593	PGS003786 (LDL_AFR_CT)	PSS011043\| African Ancestry\| 4,292 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.08924	—	—
PPM018594	PGS003787 (LDL_AFR_LDpred2)	PSS011043\| African Ancestry\| 4,292 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.03349	—	—
PPM018595	PGS003788 (LDL_AFR_weighted_LDpred2)	PSS011043\| African Ancestry\| 4,292 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.04384	—	—
PPM018596	PGS003789 (LDL_AFR_PRSCSx)	PSS011043\| African Ancestry\| 4,292 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.08679	—	—
PPM018597	PGS003790 (LDL_AFR_CTSLEB)	PSS011043\| African Ancestry\| 4,292 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.11584	—	—
PPM018598	PGS003791 (LDL_EAS_CT)	PSS011044\| East Asian Ancestry\| 970 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.02274	—	—
PPM018600	PGS003793 (LDL_EAS_weighted_LDpred2)	PSS011044\| East Asian Ancestry\| 970 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.03105	—	—
PPM018601	PGS003794 (LDL_EAS_PRSCSx)	PSS011044\| East Asian Ancestry\| 970 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.0534	—	—
PPM018602	PGS003795 (LDL_EAS_CTSLEB)	PSS011044\| East Asian Ancestry\| 970 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.0239	—	—
PPM018603	PGS003796 (LDL_SAS_CT)	PSS011046\| South Asian Ancestry\| 5,137 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.02586	—	—
PPM018604	PGS003797 (LDL_SAS_LDpred2)	PSS011046\| South Asian Ancestry\| 5,137 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.01341	—	—
PPM018605	PGS003798 (LDL_SAS_weighted_LDpred2)	PSS011046\| South Asian Ancestry\| 5,137 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.02782	—	—
PPM018606	PGS003799 (LDL_SAS_PRSCSx)	PSS011046\| South Asian Ancestry\| 5,137 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.04872	—	—
PPM018607	PGS003800 (LDL_SAS_CTSLEB)	PSS011046\| South Asian Ancestry\| 5,137 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.03323	—	—
PPM018687	PGS003855 (PRS44_LDL)	PSS011066\| East Asian Ancestry\| 37,317 individuals	PGP000493 \| Li J et al. JAMA Netw Open (2023)	Reported Trait: Estimated annual change of LDL cholesterol	—	—	p-value (inferior to): 0.001	—	—
PPM018691	PGS003855 (PRS44_LDL)	PSS011068\| East Asian Ancestry\| 15,664 individuals	PGP000493 \| Li J et al. JAMA Netw Open (2023)	Reported Trait: Estimated annual change of LDL cholesterol	—	—	p-value (inferior to): 0.001	—	—
PPM018695	PGS003855 (PRS44_LDL)	PSS011067\| East Asian Ancestry\| 21,653 individuals	PGP000493 \| Li J et al. JAMA Netw Open (2023)	Reported Trait: Estimated annual change of LDL cholesterol	—	—	p-value (inferior to): 0.001	—	—
PPM018599	PGS003792 (LDL_EAS_LDpred2)	PSS011044\| East Asian Ancestry\| 970 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Low-density lipoprotein cholesterol	—	—	R²: 0.0184	—	—
PPM018762	PGS003870 (LDL_PRScsx_ARB_AMRweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: LDL cholesterol	β: 9.4 (1.1)	—	R²: 0.0358	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 6 normalized ancestry-specific scores using the following coefficients: Score = (-0.1166049zscoreAFR) + (0.812596zscoreAMR) + (-2.1986549zscoreARB) + (3.9764576zscoreEAS) + (6.7068379zscoreEUR) + (3.433336zscoreSAS).
PPM018763	PGS003871 (LDL_PRScsx_ARB_ARBweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: LDL cholesterol	β: 9.4 (1.1)	—	R²: 0.0358	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 6 normalized ancestry-specific scores using the following coefficients: Score = (-0.1166049zscoreAFR) + (0.812596zscoreAMR) + (-2.1986549zscoreARB) + (3.9764576zscoreEAS) + (6.7068379zscoreEUR) + (3.433336zscoreSAS).
PPM018764	PGS003872 (LDL_PRScsx_ARB_EASweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: LDL cholesterol	β: 9.4 (1.1)	—	R²: 0.0358	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 6 normalized ancestry-specific scores using the following coefficients: Score = (-0.1166049zscoreAFR) + (0.812596zscoreAMR) + (-2.1986549zscoreARB) + (3.9764576zscoreEAS) + (6.7068379zscoreEUR) + (3.433336zscoreSAS).
PPM018765	PGS003873 (LDL_PRScsx_ARB_EURweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: LDL cholesterol	β: 9.4 (1.1)	—	R²: 0.0358	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 6 normalized ancestry-specific scores using the following coefficients: Score = (-0.1166049zscoreAFR) + (0.812596zscoreAMR) + (-2.1986549zscoreARB) + (3.9764576zscoreEAS) + (6.7068379zscoreEUR) + (3.433336zscoreSAS).
PPM018766	PGS003874 (LDL_PRScsx_ARB_SASweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: LDL cholesterol	β: 9.4 (1.1)	—	R²: 0.0358	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 6 normalized ancestry-specific scores using the following coefficients: Score = (-0.1166049zscoreAFR) + (0.812596zscoreAMR) + (-2.1986549zscoreARB) + (3.9764576zscoreEAS) + (6.7068379zscoreEUR) + (3.433336zscoreSAS).
PPM018761	PGS003869 (LDL_PRScsx_ARB_AFRweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: LDL cholesterol	β: 9.4 (1.1)	—	R²: 0.0358	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 6 normalized ancestry-specific scores using the following coefficients: Score = (-0.1166049zscoreAFR) + (0.812596zscoreAMR) + (-2.1986549zscoreARB) + (3.9764576zscoreEAS) + (6.7068379zscoreEUR) + (3.433336zscoreSAS).
PPM019138	PGS003976 (EUR_without-UKB_LDL)	PSS011207\| European Ancestry\| 423,596 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 10.6 %	—	—
PPM019139	PGS003978 (meta_without-UKB_LDL)	PSS011207\| European Ancestry\| 423,596 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 10.5 %	—	—
PPM019140	PGS003975 (EAS_without-UKB_LDL)	PSS011203\| East Asian Ancestry\| 1,480 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 8.6 %	—	—
PPM019141	PGS003978 (meta_without-UKB_LDL)	PSS011203\| East Asian Ancestry\| 1,480 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 7.8 %	—	—
PPM019142	PGS003975 (EAS_without-UKB_LDL)	PSS011201\| East Asian Ancestry\| 68,978 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 9.3 %	—	—
PPM019143	PGS003976 (EUR_without-UKB_LDL)	PSS011201\| East Asian Ancestry\| 68,978 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 4.5 %	—	—
PPM019144	PGS003978 (meta_without-UKB_LDL)	PSS011201\| East Asian Ancestry\| 68,978 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 6.7 %	—	—
PPM019145	PGS003974 (AFR_without-UKB_LDL)	PSS011206\| African Ancestry\| 3,802 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 9.2 %	—	—
PPM019146	PGS003977 (SAS_without-UKB_LDL)	PSS011204\| South Asian Ancestry\| 6,303 individuals	PGP000514 \| Hassanin E et al. Front Genet (2023)	Reported Trait: LDL level	—	—	R²: 5.6 %	—	—
PPM020822	PGS004637 (LDL_AFR_lassosum2)	PSS011420\| African Ancestry\| 4,292 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.141	—	—
PPM020823	PGS004638 (LDL_AFR_ldpred2)	PSS011420\| African Ancestry\| 4,292 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.1212	—	—
PPM020824	PGS004639 (LDL_AFR_PROSPER)	PSS011420\| African Ancestry\| 4,292 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.1538	—	—
PPM020825	PGS004640 (LDL_AFR_weighted_lassosum2)	PSS011420\| African Ancestry\| 4,292 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.1472	—	—
PPM020827	PGS004642 (LDL_EAS_lassosum2)	PSS011426\| East Asian Ancestry\| 970 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0329	—	—
PPM020828	PGS004643 (LDL_EAS_ldpred2)	PSS011426\| East Asian Ancestry\| 970 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0348	—	—
PPM020829	PGS004644 (LDL_EAS_PROSPER)	PSS011426\| East Asian Ancestry\| 970 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0668	—	—
PPM020830	PGS004645 (LDL_EAS_weighted_lassosum2)	PSS011426\| East Asian Ancestry\| 970 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0805	—	—
PPM020831	PGS004646 (LDL_EAS_weighted_ldpred2)	PSS011426\| East Asian Ancestry\| 970 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0721	—	—
PPM020832	PGS004647 (LDL_SAS_lassosum2)	PSS011428\| South Asian Ancestry\| 5,137 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0332	—	—
PPM020833	PGS004648 (LDL_SAS_ldpred2)	PSS011428\| South Asian Ancestry\| 5,137 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0343	—	—
PPM020835	PGS004650 (LDL_SAS_weighted_lassosum2)	PSS011428\| South Asian Ancestry\| 5,137 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0482	—	—
PPM020836	PGS004651 (LDL_SAS_weighted_ldpred2)	PSS011428\| South Asian Ancestry\| 5,137 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0513	—	—
PPM020883	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS011442\| European Ancestry\| 564 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 1.42 [1.16, 1.73]	—	—	—	—
PPM020891	PGS000889 (GLGC_2021_ALL_LDL_PRS_weights_PT)	PSS011441\| African Ancestry\| 504 individuals	PGP000599 \| Guarischi-Sousa R et al. Circ Genom Precis Med (2023) \|Ext.	Reported Trait: Raised coronary lesion	OR: 1.18 [0.95, 1.47]	—	—	—	—
PPM021016	PGS004791 (ldl_PRSmix_eur)	PSS011499\| European Ancestry\| 4,026 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Low-density lipoprotein	—	—	Incremental R2 (Full model versus model with only covariates): 0.076 [0.06, 0.092]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021017	PGS004792 (ldl_PRSmix_sas)	PSS011500\| South Asian Ancestry\| 5,735 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Low-density lipoprotein	—	—	Incremental R2 (Full model versus model with only covariates): 0.121 [0.105, 0.137]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021018	PGS004793 (ldl_PRSmixPlus_eur)	PSS011499\| European Ancestry\| 4,026 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Low-density lipoprotein	—	—	Incremental R2 (Full model versus model with only covariates): 0.077 [0.061, 0.093]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM021019	PGS004794 (ldl_PRSmixPlus_sas)	PSS011500\| South Asian Ancestry\| 5,735 individuals	PGP000604 \| Truong B et al. Cell Genom (2024)	Reported Trait: Low-density lipoprotein	—	—	Incremental R2 (Full model versus model with only covariates): 0.121 [0.105, 0.137]	age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10	Incremental R2 (Full model versus model with only covariates)
PPM020826	PGS004641 (LDL_AFR_weighted_ldpred2)	PSS011420\| African Ancestry\| 4,292 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.1314	—	—
PPM020834	PGS004649 (LDL_SAS_PROSPER)	PSS011428\| South Asian Ancestry\| 5,137 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: LDL cholesterol	—	—	adjusted R2: 0.0561	—	—
PPM021380	PGS004915 (LDL-C_PGS)	PSS011715\| European Ancestry\| 389,564 individuals	PGP000647 \| Trinder M et al. Arterioscler Thromb Vasc Biol (2019)	Reported Trait: Low-density lipoprotein cholesterol levels	—	—	R²: 0.05	Age, sex, genotyping array/batch, 4 PCs	—
PPM021724	PGS004936 (low_density_lipoprotein_cholesterol_measurement_combined)	PSS011762\| European Ancestry\| 8,417 individuals	PGP000665 \| Moreno-Grau S et al. Human Genomics (2024)	Reported Trait: Low density lipoprotein cholesterol level	OR: 1.35 [1.26, 1.46]	AUROC: 0.65	—	—	—
PPM021992	PGS004981 (LDLC_Mean_INT_prscsx_METAweight)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.292 [0.27, 0.31]	—	R²: 0.087	score previously adjusted for age, sex, 20 PCs	—
PPM021993	PGS004978 (LDLC_Mean_INT_prscs_METAss_afrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.251 [0.23, 0.27]	—	R²: 0.064	score previously adjusted for age, sex, 20 PCs	—
PPM021994	PGS004979 (LDLC_Mean_INT_prscs_METAss_amrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.279 [0.26, 0.3]	—	R²: 0.079	score previously adjusted for age, sex, 20 PCs	—
PPM021995	PGS004980 (LDLC_Mean_INT_prscs_METAss_eurld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.268 [0.25, 0.29]	—	R²: 0.073	score previously adjusted for age, sex, 20 PCs	—
PPM021996	PGS004975 (LDLC_Mean_INT_prscs_AFRss_afrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.154 [0.13, 0.18]	—	R²: 0.024	score previously adjusted for age, sex, 20 PCs	—
PPM021997	PGS004977 (LDLC_Mean_INT_prscs_HISss_amrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.182 [0.16, 0.2]	—	R²: 0.034	score previously adjusted for age, sex, 20 PCs	—
PPM021998	PGS004976 (LDLC_Mean_INT_prscs_EURss_eurld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.266 [0.24, 0.29]	—	R²: 0.072	score previously adjusted for age, sex, 20 PCs	—
PPM022000	PGS004978 (LDLC_Mean_INT_prscs_METAss_afrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.226 [0.19, 0.26]	—	R²: 0.052	score previously adjusted for age, sex, 20 PCs	—
PPM022001	PGS004979 (LDLC_Mean_INT_prscs_METAss_amrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.297 [0.26, 0.33]	—	R²: 0.09	score previously adjusted for age, sex, 20 PCs	—
PPM022002	PGS004980 (LDLC_Mean_INT_prscs_METAss_eurld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.236 [0.2, 0.27]	—	R²: 0.056	score previously adjusted for age, sex, 20 PCs	—
PPM022003	PGS004975 (LDLC_Mean_INT_prscs_AFRss_afrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.214 [0.18, 0.25]	—	R²: 0.046	score previously adjusted for age, sex, 20 PCs	—
PPM022004	PGS004977 (LDLC_Mean_INT_prscs_HISss_amrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.178 [0.14, 0.22]	—	R²: 0.032	score previously adjusted for age, sex, 20 PCs	—
PPM022005	PGS004976 (LDLC_Mean_INT_prscs_EURss_eurld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.12 [0.08, 0.16]	—	R²: 0.015	score previously adjusted for age, sex, 20 PCs	—
PPM022006	PGS004981 (LDLC_Mean_INT_prscsx_METAweight)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.271 [0.21, 0.33]	—	R²: 0.074	score previously adjusted for age, sex, 20 PCs	—
PPM022007	PGS004978 (LDLC_Mean_INT_prscs_METAss_afrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.249 [0.19, 0.31]	—	R²: 0.062	score previously adjusted for age, sex, 20 PCs	—
PPM022008	PGS004979 (LDLC_Mean_INT_prscs_METAss_amrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.272 [0.21, 0.33]	—	R²: 0.075	score previously adjusted for age, sex, 20 PCs	—
PPM022009	PGS004980 (LDLC_Mean_INT_prscs_METAss_eurld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.244 [0.18, 0.3]	—	R²: 0.06	score previously adjusted for age, sex, 20 PCs	—
PPM022010	PGS004975 (LDLC_Mean_INT_prscs_AFRss_afrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.144 [0.08, 0.21]	—	R²: 0.021	score previously adjusted for age, sex, 20 PCs	—
PPM022011	PGS004977 (LDLC_Mean_INT_prscs_HISss_amrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.18 [0.12, 0.24]	—	R²: 0.033	score previously adjusted for age, sex, 20 PCs	—
PPM022012	PGS004976 (LDLC_Mean_INT_prscs_EURss_eurld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.201 [0.14, 0.26]	—	R²: 0.041	score previously adjusted for age, sex, 20 PCs	—
PPM022094	PGS004972 (LDLC_Mean_INT_ldpred_METAss_afrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.256 [0.23, 0.28]	—	R²: 0.067	score previously adjusted for age, sex, 20 PCs	—
PPM022095	PGS004973 (LDLC_Mean_INT_ldpred_METAss_amrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.274 [0.25, 0.3]	—	R²: 0.077	score previously adjusted for age, sex, 20 PCs	—
PPM022096	PGS004974 (LDLC_Mean_INT_ldpred_METAss_eurld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.253 [0.23, 0.27]	—	R²: 0.065	score previously adjusted for age, sex, 20 PCs	—
PPM022097	PGS004969 (LDLC_Mean_INT_ldpred_AFRss_afrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.167 [0.14, 0.19]	—	R²: 0.028	score previously adjusted for age, sex, 20 PCs	—
PPM022099	PGS004970 (LDLC_Mean_INT_ldpred_EURss_eurld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.219 [0.2, 0.24]	—	R²: 0.049	score previously adjusted for age, sex, 20 PCs	—
PPM022100	PGS004972 (LDLC_Mean_INT_ldpred_METAss_afrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.258 [0.22, 0.3]	—	R²: 0.068	score previously adjusted for age, sex, 20 PCs	—
PPM022101	PGS004973 (LDLC_Mean_INT_ldpred_METAss_amrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.292 [0.26, 0.33]	—	R²: 0.087	score previously adjusted for age, sex, 20 PCs	—
PPM022102	PGS004974 (LDLC_Mean_INT_ldpred_METAss_eurld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.246 [0.21, 0.28]	—	R²: 0.062	score previously adjusted for age, sex, 20 PCs	—
PPM022103	PGS004969 (LDLC_Mean_INT_ldpred_AFRss_afrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.269 [0.23, 0.31]	—	R²: 0.074	score previously adjusted for age, sex, 20 PCs	—
PPM022104	PGS004971 (LDLC_Mean_INT_ldpred_HISss_amrld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.165 [0.13, 0.2]	—	R²: 0.028	score previously adjusted for age, sex, 20 PCs	—
PPM022105	PGS004970 (LDLC_Mean_INT_ldpred_EURss_eurld)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.132 [0.09, 0.17]	—	R²: 0.018	score previously adjusted for age, sex, 20 PCs	—
PPM022106	PGS004972 (LDLC_Mean_INT_ldpred_METAss_afrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.217 [0.16, 0.28]	—	R²: 0.048	score previously adjusted for age, sex, 20 PCs	—
PPM022107	PGS004973 (LDLC_Mean_INT_ldpred_METAss_amrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.253 [0.19, 0.31]	—	R²: 0.065	score previously adjusted for age, sex, 20 PCs	—
PPM022108	PGS004974 (LDLC_Mean_INT_ldpred_METAss_eurld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.235 [0.17, 0.29]	—	R²: 0.055	score previously adjusted for age, sex, 20 PCs	—
PPM022109	PGS004969 (LDLC_Mean_INT_ldpred_AFRss_afrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.144 [0.08, 0.21]	—	R²: 0.021	score previously adjusted for age, sex, 20 PCs	—
PPM022110	PGS004971 (LDLC_Mean_INT_ldpred_HISss_amrld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.167 [0.11, 0.23]	—	R²: 0.028	score previously adjusted for age, sex, 20 PCs	—
PPM022111	PGS004970 (LDLC_Mean_INT_ldpred_EURss_eurld)	PSS011806\| Hispanic or Latin American Ancestry\| 1,000 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.226 [0.17, 0.29]	—	R²: 0.051	score previously adjusted for age, sex, 20 PCs	—
PPM021999	PGS004981 (LDLC_Mean_INT_prscsx_METAweight)	PSS011796\| African Ancestry\| 2,490 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.292 [0.26, 0.33]	—	R²: 0.087	score previously adjusted for age, sex, 20 PCs	—
PPM022098	PGS004971 (LDLC_Mean_INT_ldpred_HISss_amrld)	PSS011816\| European Ancestry\| 7,654 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: LDL cholesterol	β: 0.178 [0.16, 0.2]	—	R²: 0.032	score previously adjusted for age, sex, 20 PCs	—
PPM022464	PGS001933 (portability-PLR_LDL)	PSS011950\| Multi-ancestry (including European)\| 151 individuals	PGP000716 \| Ying S et al. BMC Med Genomics (2023) \|Ext.	Reported Trait: LDLC in 22q11.2 microdeletion carriers	β: 0.2524 (0.0839)	—	—	sex, age, BMI, T2D, Psychotic illness, Originating ascertainment cohort, Sequencing platform, PC1-4	—
PPM022508	PGS002150 (portability-ldpred2_LDL)	PSS011978\| European Ancestry\| 18,753 individuals	PGP000721 \| Sadler MC et al. Nat Commun (2025) \|Ext.	Reported Trait: LDL-C response to statin (absolute difference)	β: -0.092 (0.006)	—	—	sex, age and drug-specific covariates	beta unit = mmol/L
PPM022509	PGS002150 (portability-ldpred2_LDL)	PSS011978\| European Ancestry\| 18,753 individuals	PGP000721 \| Sadler MC et al. Nat Commun (2025) \|Ext.	Reported Trait: LDL-C response to statin (relative logarithmic difference)	β: 2.469 (0.202)	—	—	sex, age and drug-specific covariates	beta unit = %
PPM022729	PGS005248 (PGS4_QBB_9SNP)	PSS012062\| Greater Middle Eastern Ancestry\| 7,762 individuals	PGP000743 \| Ismail Umlai UK et al. J Lipid Res (2025)	Reported Trait: LDL-C levels	—	—	R²: 0.135 [0.114, 0.156]	Age, Gender, Cholesterol treatment, PC1-4	Performance reported as adjusted R2 and with 95% [CI]
PPM022730	PGS005249 (PGS5_QBB_6SNP)	PSS012062\| Greater Middle Eastern Ancestry\| 7,762 individuals	PGP000743 \| Ismail Umlai UK et al. J Lipid Res (2025)	Reported Trait: LDL-C levels	—	—	R²: 0.139 [0.118, 0.16]	Age, Gender, Cholesterol treatment, PC1-4	Performance reported as adjusted R2 and with 95% [CI]
PPM022731	PGS005250 (PGS14_QBB_14SNP)	PSS012062\| Greater Middle Eastern Ancestry\| 7,762 individuals	PGP000743 \| Ismail Umlai UK et al. J Lipid Res (2025)	Reported Trait: LDL-C levels	—	—	R²: 0.134 [0.113, 0.155]	Age, Gender, Cholesterol treatment, PC1-4	Performance reported as adjusted R2 and with 95% [CI]
PPM023042	PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PSS012103\| Multi-ancestry (including European)\| 663 individuals	PGP000763 \| Zou RS et al. J Am Heart Assoc (2024) \|Ext.	Reported Trait: Plaque presence (on coronary computed tomography angiography)	OR: 1.21 [1.01, 1.44]	—	—	age, sex, and the first 10 principal components of ancestry	—
PPM023043	PGS002654 (biochemistry_LDLdirect.PolyFun-pred)	PSS012103\| Multi-ancestry (including European)\| 663 individuals	PGP000763 \| Zou RS et al. J Am Heart Assoc (2024) \|Ext.	Reported Trait: partially calcified plaque	OR: 1.21 [1.01, 1.45]	—	—	age, sex, and the first 10 principal components of ancestry	—
PPM030570	PGS012517 (LDL)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 13.33 (0.279)	—	—	sex, age, age^2, BMI, 11 genetic PCs	Effect estimate corresponds to PRS per SD adjusted for genetic PCs.
PPM030571	PGS012517 (LDL)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 13.33 (0.279)	—	—	sex, age, age^2, BMI, global ancestry proportions	Effect estimate corresponds to PRS per SD adjusted for global ancestry proportions.
PPM030572	PGS012517 (LDL)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 13.32 (0.28)	—	—	sex, age, age^2, BMI, global ePRS	Effect estimate corresponds to residual PRS (rPRS) adjusted for global expected PRS (gePRS).
PPM030573	PGS012517 (LDL)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 13.21 (0.284)	—	—	sex, age, age^2, BMI, local ePRS	Effect estimate corresponds to residual PRS (rPRS) adjusted for local expected PRS (lePRS).
PPM030599	PGS012525 (LDL_LD)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 8.074 (0.247)	—	—	sex, age, age^2, BMI, 11 genetic PCs	Effect estimate corresponds to PRS per SD adjusted for genetic PCs.
PPM030600	PGS012525 (LDL_LD)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 8.133 (0.247)	—	—	sex, age, age^2, BMI, global ancestry proportions	Effect estimate corresponds to PRS per SD adjusted for global ancestry proportions.
PPM030601	PGS012525 (LDL_LD)	PSS012197\| Multi-ancestry (including European)\| 38,463 individuals	PGP000786 \| Huang YJ et al. Nat Commun (2026)	Reported Trait: Low-density lipoprotein cholesterol levels	β: 8.157 (0.248)	—	—	sex, age, age^2, BMI, global ePRS	Effect estimate corresponds to residual PRS (rPRS) adjusted for global expected PRS (gePRS).
PPM039091	PGS000846 (LDL)	PSS013916\| European Ancestry\| 425,240 individuals	PGP000865 \| Bhatt IS et al. J Assoc Res Otolaryngol (2024) \|Ext.	Reported Trait: Age-related hearing difficulty	β: -0.01085	—	—	—	—
PPM039141	PGS000814 (GRS12_LDLc)	PSS013916\| European Ancestry\| 425,240 individuals	PGP000865 \| Bhatt IS et al. J Assoc Res Otolaryngol (2024) \|Ext.	Reported Trait: Age-related hearing difficulty	β: -0.01008	—	—	—	—
PPM039198	PGS000875 (PGS36_LDLc)	PSS013916\| European Ancestry\| 425,240 individuals	PGP000865 \| Bhatt IS et al. J Assoc Res Otolaryngol (2024) \|Ext.	Reported Trait: Age-related hearing difficulty	β: -0.00946	—	—	—	—

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
PSS011426	—	—	970 individuals, 32.0 % Male samples	Mean = 52.47 years Sd = 7.81 years	East Asian	—	UKB	—
PSS011428	—	—	5,137 individuals, 53.0 % Male samples	Mean = 53.37 years Sd = 8.43 years	South Asian	—	UKB	—
PSS011420	—	—	4,292 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean	—	UKB	—
PSS000714	—	—	6,003 individuals	—	African unspecified	—	UKB	—
PSS000715	—	—	1,082 individuals	—	East Asian	—	UKB	—
PSS000716	—	—	23,535 individuals	—	European	Non-British White	UKB	—
PSS000717	—	—	7,319 individuals	—	South Asian	—	UKB	—
PSS000718	—	—	63,675 individuals	—	European (British)	—	UKB	—
PSS001146	—	—	3,566 individuals	—	African unspecified	—	AADM	—
PSS001144	—	—	4,273 individuals	—	African unspecified	—	AADM	—
PSS001145	—	—	707 individuals	—	African unspecified	—	AADM	—
PSS001147	—	—	10,460 individuals	—	African unspecified	—	AWI-Gen	—
PSS001148	—	—	1,745 individuals	—	African unspecified	—	AWI-Gen	—
PSS001149	—	—	4,972 individuals	—	Sub-Saharan African	—	AWI-Gen	—
PSS001150	—	—	3,743 individuals	—	African unspecified	—	AWI-Gen	—
PSS000292	Composite end point of cardiovascular events was defined as myocardial infarction, ischemic stroke, and death from coronary heart disease. Death from coronary heart disease was defined on the basis of codes 412 and 414 (ICD-9) or I22–I23 and I25 (ICD-10) in the Swedish Cause of Death Register. Myocardial infarction was defined on the basis of codes 410 and I21 in the International Classification of Diseases, 9th Revision and 10th Revision (ICD-9 and ICD-10), respectively. Ischemic stroke was defined on the basis of codes 434 or 436 (ICD-9) and I63 or I64 (ICD-10).	Median = 10.6 years	4,232 individuals [ 238 cases , 3,994 controls ]	—	European	—	MDC	—
PSS001151	—	—	15,242 individuals	—	South Asian	—	G&H	—
PSS001152	—	—	118,260 individuals	—	East Asian	—	KoGES	—
PSS001156	—	—	18,251 individuals	—	African American or Afro-Caribbean	—	MVP	Subset not used in discovery dataset
PSS001153	—	—	1,341 individuals	—	African American or Afro-Caribbean	—	MGI	—
PSS001154	—	—	17,190 individuals	—	European	—	MGI	—
PSS001157	—	—	4,155 individuals	—	Asian unspecified	—	MVP	Subset not used in discovery dataset
PSS001159	—	—	7,669 individuals	—	Hispanic or Latin American	—	MVP	Subset not used in discovery dataset
PSS001158	—	—	68,381 individuals	—	European	—	MVP	Subset not used in discovery dataset
PSS001160	—	—	2,138 individuals	—	African American or Afro-Caribbean	—	PMB	—
PSS001161	—	—	28,217 individuals	—	East Asian	—	ToMMo	Only participants from Miyagi Prefecture were included
PSS001162	—	—	461,918 individuals	—	European, African unspecified, East Asian, South Asian	—	UKB	—
PSS001165	—	—	389,158 individuals	—	European	—	UKB	—
PSS001164	—	—	1,441 individuals	—	East Asian	—	UKB	—
PSS001166	—	—	6,814 individuals	—	South Asian	—	UKB	—
PSS001163	—	—	6,863 individuals	—	African unspecified	—	UKB	—
PSS008704	—	—	6,312 individuals	—	European	Italy (South Europe)	UKB	—
PSS010010	LOW DENSITY LIPOPROTEIN CHOL (LOINC: 13457-7); Quantitative	—	9,288 individuals	—	European	—	MGI	—
PSS010207	—	—	2,235 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS010711	—	—	3,622 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS011715	—	—	389,564 individuals, 46.0 % Male samples	Mean = 57.0 years	European (British)	—	UKB	—
PSS012103	—	—	277 individuals	—	African unspecified	—	REPRIEVE	—
PSS012103	—	—	379 individuals	—	European	—	REPRIEVE	—
PSS011066	—	—	37,317 individuals, 41.98 % Male samples	Mean = 51.37 years Sd = 10.82 years	East Asian	—	InterASIA	China MUCA, CIMIC
PSS011067	—	—	21,653 individuals, 41.98 % Male samples	Mean = 51.22 years Sd = 10.78 years	East Asian	—	InterASIA	China MUCA, CIMIC
PSS011068	—	—	15,664 individuals, 41.98 % Male samples	Mean = 51.57 years Sd = 10.87 years	East Asian	—	InterASIA	China MUCA, CIMIC
PSS012103	—	—	6 individuals	—	East Asian	—	REPRIEVE	—
PSS012103	—	—	1 individuals	—	South Asian	—	REPRIEVE	—
PSS009892	—	—	75,973 individuals, 57.2 % Male samples	Mean = 60.4 years Sd = 6.6 years	European	—	UKB	—
PSS000181	LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf).	—	4,680 individuals, 45.8 % Male samples	Mean = 56.6 years Sd = 8.1 years	African unspecified	—	UKB	Genotyping Array Cohort
PSS000182	Cardiovascular disease events were defined as coronary and carotid revascularization, myocardial infarction, ischemic stroke, and all-cause mortality. The CVD events occurring before and after enrollment were included. Events occurring prior to enrollment were identified by either self-reported medical history and/or previous hospital admission documented in an electronic health record.	—	47,845 individuals [ 5,397 cases , 42,448 controls ] , 43.36 % Male samples	Mean = 56.64 years Sd = 7.99 years	European, East Asian, African unspecified	—	UKB	Genotyping Array & Exome Sequencing Cohort
PSS000183	LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf).	—	10,640 individuals, 45.8 % Male samples	Mean = 56.6 years Sd = 8.1 years	East Asian	—	UKB	Genotyping Array Cohort
PSS000184	LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf).	—	439,871 individuals, 45.8 % Male samples	Mean = 56.6 years Sd = 8.1 years	European	—	UKB	Genotyping Array Cohort
PSS000185	LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf).	—	439,871 individuals, 45.8 % Male samples	Mean = 56.6 years Sd = 8.1 years	European	—	UKB	Genotyping Array Cohort
PSS000185	LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf).	—	10,640 individuals, 45.8 % Male samples	Mean = 56.6 years Sd = 8.1 years	East Asian	—	UKB	Genotyping Array Cohort
PSS000185	LDL-C serum biochemistry was desribed previously (http://biobank.ndph.ox.ac.uk/showcase/showcase/docs/serum_biochemistry.pdf).	—	4,680 individuals, 45.8 % Male samples	Mean = 56.6 years Sd = 8.1 years	African unspecified	—	UKB	Genotyping Array Cohort
PSS008256	—	—	5,987 individuals	—	South Asian	India (South Asia)	UKB	—
PSS013916	—	—	425,240 individuals [ 111,243 cases , 313,997 controls ] , 46.21 % Male samples	—	European (British, Irish)	—	UKB	—
PSS010795	—	—	3,935 individuals, 38.0 % Male samples	Mean = 54.4 years Sd = 7.5 years	European	Polish	UKB	—
PSS009627	—	—	4,416 individuals, 75.0 % Male samples		European	—	UCC-SMART	UCC-SMART
PSS000824	—	—	2,097 individuals	—	European	Participants self-identifying as white	MESA	—
PSS000825	—	—	1,987 individuals	—	European	Participants self-identifying as white	MESA	—
PSS010055	—	—	22,608 individuals	—	East Asian	—	KBA, KoGES	—
PSS010056	—	—	6,140 individuals, 43.0 % Male samples	Median = 39.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian) (Middle Eastern Arabs)	—	QBB	—
PSS010058	Cases are potential clinical FH cases	—	237 individuals [ 120 cases , 117 controls ]	—	Not reported	—	NR	—
PSS010291	—	—	2,326 individuals, 37.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS000465	Individuals ≥18 years with clinically diagnosed heterozygous familial hypercholesterolemia (FH) from the BCFH cohort. Individuals who were positive for the common French Canadian variant in the LDLR gene including del.15 kb of the promoter and exon 1, del.5 kb of exons 2 and 3, p.W66G (exon 3), p.E207K (exon 4), p.Y468X (exon 10), or p.C646Y (exon 14) in this study. Fasting clinical lipid profiles were obtained following a 4-week washout of any cholesterol-lowering medications from the CNMA cohort. Individuals who were positive for a LDLR, APOB, or PCSK9 variant that was deemed to cause FH in the UKB cohort.Any atherosclerotic cardiovascular disease (ASCVD) event, which was defined as myocardial infarction, coronary artery disease or carotid revascularization, transient ischemic attack or stroke. For the UK Biobank, retrospecitvie ASCVD was self reported and prospective ASCVD were defined using hospital episode statistics and 10th revision of the International Statistical Classification of Diseases and Related Health Problems diagnosis codes and OPCS Classification of Interventions and Procedures version 4 procedure codes	—	1,120 individuals, 40.4 % Male samples	Mean = 41.36 years	European, NR	European (94%), Not reported (6%)	BCFH, CNMA, UKB	—
PSS000466	Any atherosclerotic cardiovascular disease (ASCVD) event, which was defined as myocardial infarction, coronary artery disease or carotid revascularization, transient ischemic attack or stroke. For the UK Biobank, retrospecitvie ASCVD was self reported and prospective ASCVD were defined using hospital episode statistics and 10th revision of the International Statistical Classification of Diseases and Related Health Problems diagnosis codes and OPCS Classification of Interventions and Procedures version 4 procedure codes	—	389,127 individuals	—	European	—	UKB	—
PSS011097	—	—	2,669 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab)	—	NR	N total after excluding missing values = 2,553
PSS009637	—	—	1,519 individuals [ 875 cases , 644 controls ]	—	Not reported	—	NR	LIPIGEN (Lipid TransPort Disorders italian Genetic Network) database
PSS011950	Cohort of adults with a 22q11.2 microdeletion	—	151 individuals, 50.0 % Male samples	Median = 34.0 years	European, Not reported	—	NR	—
PSS009639	Non-fasting serum lipid levels were measured using the Cobas Integra 400 Plus Chemistry analyser, an automated analyser that employs four different technologies: absorption photometry, fluorescence polarization immunoassay, immune-turbidimetry, and potentiometry for accurate analysis. LDL-C were measured using the homogeneous enzymatic colorimetric assays	—	2,569 individuals, 42.9 % Male samples	Mean = 33.1 years Ci = [18.0, 48.2] years	Sub-Saharan African (South Africans)	—	SAZ	—
PSS011499	—	—	4,026 individuals	—	European	—	AllofUs	—
PSS011500	—	—	5,735 individuals	—	South Asian	—	G&H	—
PSS007820	—	—	2,338 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS011762	—	—	8,417 individuals	—	European	—	BBofA	—
PSS011043	—	—	4,292 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean (African American)	—	UKB	—
PSS009376	—	—	18,968 individuals	—	European	UK (+ Ireland)	UKB	—
PSS011044	—	—	970 individuals, 32.0 % Male samples	Mean = 52.47 years Sd = 7.81 years	East Asian	—	UKB	—
PSS010879	—	—	19,077 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS011045	—	—	9,527 individuals, 47.0 % Male samples	Mean = 56.86 years Sd = 8.05 years	European	—	UKB	—
PSS010375	—	—	1,705 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS011046	—	—	5,137 individuals, 53.0 % Male samples	Mean = 53.37 years Sd = 8.43 years	South Asian	—	UKB	—
PSS011978	—	—	18,753 individuals	—	European (British)	—	UKB	—
PSS009666	—	—	7,016 individuals, 54.3 % Male samples	Median = 53.0 years IQR = [46.0, 60.0] years	South Asian	—	UKB	—
PSS009667	—	—	7,082 individuals, 43.3 % Male samples	Median = 59.0 years IQR = [45.0, 58.0] years	African American or Afro-Caribbean	Black/Caribbean	UKB	—
PSS009668	—	—	353,166 individuals, 46.2 % Male samples	Median = 58.0 years IQR = [51.0, 63.0] years	European	White	UKB	—
PSS011441	—	—	504 individuals [ 165 cases , 339 controls ] , 82.0 % Male samples	Mean = 27.5 years	African unspecified	—	PDAY	—
PSS011442	—	—	564 individuals [ 181 cases , 383 controls ] , 77.0 % Male samples	Mean = 26.7 years	European	—	PDAY	—
PSS010102	—	—	626 individuals, 49.4 % Male samples	Mean = 46.2 years	European	—	BCFH	—
PSS010103	—	—	313 individuals, 41.5 % Male samples	Mean = 51.0 years	South Asian, European, African unspecified, NR	South Asian, European, African, NR	NR	Ontario hypercholesterolemia cohort
PSS010104	—	—	89,528 individuals	—	European	—	UKB	—
PSS008924	—	—	3,651 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS010459	—	—	5,934 individuals, 54.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS000588	Derived from the Friedewald’s formula	—	426 individuals, 46.0 % Male samples	Mean = 43.3 years Sd = 11.4 years	East Asian (Chinese)	—	NR	Adults
PSS000590	Derived from the Friedewald’s formula	—	1,941 individuals, 57.7 % Male samples	Mean = 58.2 years Sd = 12.34 years	East Asian (Chinese)	—	HKDB	—
PSS000592	Derived from the Friedewald’s formula	—	865 individuals, 57.6 % Male samples	Mean = 57.0 years Sd = 12.08 years	East Asian (Chinese)	—	HKDB	—
PSS000594	Derived from the Friedewald’s formula	—	4,917 individuals, 44.9 % Male samples	Mean = 56.3 years Sd = 13.5 years	East Asian (Chinese)	—	HKDR	—
PSS000096	Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses.	—	1,355 individuals, 46.2 % Male samples	Mean = 61.68 years	African American or Afro-Caribbean	—	MESA	MESA Classic Cohort
PSS000097	Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses.	—	666 individuals, 50.15 % Male samples	Mean = 61.5 years	East Asian	—	MESA	MESA Classic Cohort
PSS000098	Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses.	—	2,063 individuals, 46.78 % Male samples	Mean = 62.09 years	European	—	MESA	MESA Classic Cohort
PSS000099	Lipid levels are represented in mg/dL, individuals on any lipid-lowering medication (n = 1,018) were omitted from all analyses.	—	1,256 individuals, 48.89 % Male samples	Mean = 60.65 years	Hispanic or Latin American	—	MESA	MESA Classic Cohort
PSS008478	—	—	1,122 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS000100	Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG)	—	6,407 individuals, 44.0 % Male samples	Mean = 34.0 years	Sub-Saharan African	—	APCDR	APCDR-Uganda study
PSS000101	Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG)	—	21,295 individuals, 38.0 % Male samples	Mean = 60.0 years	East Asian (Chinese)	—	CKB	- 20810 samples had HDL measurements - 17662 samples had LDL measurements - 20222 samples had triglyceride measurements
PSS000102	Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG)	—	1,641 individuals, 58.0 % Male samples	Mean = 62.0 years	European (Greek)	Population isolate from the Pomak villages in the North of Greece	HELIC	- 1186 samples had HDL measurements - 1186 samples had LDL measurements - 1176 samples had triglyceride measurements
PSS000103	Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG)	—	1,945 individuals, 66.0 % Male samples	Mean = 45.0 years	European (Greek)	Population isolate from the Mylopotamos villages in Crete	HELIC	- 1078 samples had HDL measurements - 1075 samples had LDL measurements - 1066 samples had triglyceride measurements
PSS000104	Serum levels of high-density lipoprotein (HDL), low-density lipoprotein (LDL) cholesterol and triglycerides (TG)	—	9,962 individuals, 56.0 % Male samples	Mean = 52.0 years	European	—	UKHLS	- 9706 samples had HDL measurements - 9767 samples had LDL measurements - 9635 samples had triglyceride measurements
PSS001058	—	—	3,020 individuals, 76.0 % Male samples	Mean = 49.0 years Sd = 6.0 years	European	—	Whitehall	—
PSS001059	Cases are individuals with familial hypercholesterolaemia (FH). For the Simon Broome British Heart Foundation Study (SBFH), the diagnostic criteria for FH were defined by the Simon Broome Register criteria as an untreated total cholesterol above 7.5mmol/L or an LDL-C above 4.9mmol/L, and a family history of hypercholesterolaemia and/or early coronary heart disease for “possible FH”, and when together with the presence of tendon xanthomas either in the patient or in a first degree relative, as “definite FH”. Of the 640 FH individuals, 321 have FH with no known mutation, whilst 319 have FH with a known mutation.	—	3,660 individuals [ 640 cases , 3,020 controls ]	—	European	—	Whitehall	Cases from the Oxford FH study (OXFH) and the Simon Broome British Heart Foundation Study (SBFH)
PSS011796	—	—	2,490 individuals	—	African American or Afro-Caribbean	—	AllofUs	—
PSS011806	—	—	1,000 individuals	—	Hispanic or Latin American	—	AllofUs	—
PSS011816	—	—	7,654 individuals	—	European	—	AllofUs	—
PSS001072	Cases were individuals with hypobetalipoproteinemia (HBL). Of the 111 individuals with HBL, 38 had polygenic HBL, 40 had monogenic HBL and 33 had HBL from an unknown cause. Polgenic HBL was defined by a polygenic risk score (PRS) < 10th percentile of controls (PRS < 0.5925). For the 40 monogenic HBL individuals, 38 carried heterozygous APOB loss of fucntion variants and 2 carried heterozygous PCSK9 loss of function variants. In a subset of HBL cases, 7 polygenic cases , 26 monogenic cases and 13 uknown cause cases had liver steatosis. Whilst 17, 6 and 9 individuals did not have liver steatosis, respectively. Liver steatosis was diagnosed by abdominal ultrasonography. Alanine aminotransferase (ALT), aspartate aminotransferase, and gamma-glutamyl transpeptidase were determined by IFCC-standardized enzymatic methods using dedicated commercial kits. Individuals with ALT >1 upper limit of normal (>97.5th percentile) were considered to likely have liver injury.	—	967 individuals [ 111 cases , 856 controls ]	—	Not reported	—	NR	Cases were obtained from the HYPOCHOL and GENLIP studies. Controls were obtained from the PREGO and GAZEL cohorts and the Finstère area, which are part of the FranceGenRef Consortium.
PSS011201	—	—	68,978 individuals, 31.2 % Male samples	—	East Asian	—	TWB	—
PSS011203	—	—	1,480 individuals, 36.8 % Male samples	—	East Asian	—	UKB	—
PSS011204	—	—	6,303 individuals, 54.1 % Male samples	—	South Asian	—	UKB	—
PSS011206	—	—	3,802 individuals, 45.9 % Male samples	—	African American or Afro-Caribbean	—	UKB	—
PSS011207	—	—	423,596 individuals, 45.9 % Male samples	—	European	—	UKB	—
PSS010543	—	—	1,093 individuals, 60.0 % Male samples	Mean = 51.9 years Sd = 7.9 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS008034	—	—	1,716 individuals	—	East Asian	China (East Asia)	UKB	—
PSS001083	Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L).	—	2,531 individuals, 40.0 % Male samples	Mean = 48.0 years Sd = 12.0 years	European, Asian unspecified, Hispanic or Latin American, African unspecified, NR	European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152	NR	Participants were obtained from the Scientific Wellness Program.
PSS001155	—	—	360 individuals	—	Hispanic or Latin American	—	MGI	—
PSS009791	—	—	6,068 individuals	—	African unspecified	—	UKB	—
PSS000376	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,354 individuals, 47.56 % Male samples	Mean = 16.22 years Sd = 0.66 years	European	—	TRAILS	—
PSS009792	—	—	875 individuals	—	East Asian	—	UKB	—
PSS009793	—	—	41,139 individuals	—	European	Non-British European	UKB	—
PSS001084	Moderate Age-Related Diabetes (MARD) vs. controls	—	5,597 individuals [ 2,853 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001085	Moderate Obesity-related Diabetes (MOD) vs. controls	—	4,116 individuals [ 1,372 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001086	Severe Autoimmune Diabetes (SAID) vs. controls	—	3,194 individuals [ 450 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001087	Severe Insulin-Deficient Diabetes (SIDD) vs. controls	—	3,930 individuals [ 1,186 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS001088	Severe Insulin-Resistant Diabetes (SIRD) vs. controls	—	3,869 individuals [ 1,125 cases , 2,744 controls ]	—	European	Swedish	ANDIS	—
PSS009794	—	—	7,638 individuals	—	South Asian	—	UKB	—
PSS010185	—	—	1,115 individuals, 41.1 % Male samples	Mean = 46.18 years	Hispanic or Latin American	—	HCHS-SOL	—
PSS012062	—	—	7,762 individuals, 45.09 % Male samples	Mean = 40.4 years Sd = 13.4 years	Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari)	—	QBB	—
PSS007171	—	—	6,086 individuals	—	African unspecified	—	UKB	—
PSS007172	—	—	1,615 individuals	—	East Asian	—	UKB	—
PSS007173	—	—	23,728 individuals	—	European	non-white British ancestry	UKB	—
PSS007174	—	—	7,407 individuals	—	South Asian	—	UKB	—
PSS007175	—	—	64,356 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS012197	—	—	20,483 individuals	—	European	—	OOA	—
PSS012197	—	—	8,585 individuals	—	African American or Afro-Caribbean	—	OOA	—
PSS012197	—	—	8,680 individuals	—	Hispanic or Latin American	—	OOA	—
PSS012197	—	—	715 individuals	—	Asian unspecified	—	OOA	—
PSS010627	—	—	6,160 individuals, 45.0 % Male samples	Mean = 54.4 years Sd = 8.4 years	European	Italian	UKB	—
PSS009577	Self-reported statin-use. Uncontrolled hypercholesterolaemia was defined as having baseline LDL-cholesterol >_3 mmol/L, among individuals in the treated hypercholesterolaemia sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data.	Median = 11.4 years	33,787 individuals [ 3,565 cases , 30,222 controls ] , 58.5 % Male samples	Mean = 61.7 years	European (white British)	—	UKB	—
PSS009578	Self-reported statin-use. Uncontrolled hypercholesterolaemia was defined as having baseline LDL-cholesterol >_3 mmol/L, among individuals in the treated hypercholesterolaemia sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data.	Median = 11.4 years	33,787 individuals [ 2,358 cases , 31,429 controls ] , 58.5 % Male samples	Mean = 61.7 years	European (white British)	—	UKB	—
PSS009579	Self-reported statin-use. Uncontrolled hypercholesterolaemia was defined as having baseline LDL-cholesterol >_3 mmol/L, among individuals in the treated hypercholesterolaemia sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data.	Median = 11.4 years	33,787 individuals [ 1,207 cases , 32,580 controls ] , 58.5 % Male samples	Mean = 61.7 years	European (white British)	—	UKB	—
PSS009580	Self-reported statin-use. Uncontrolled hypercholesterolaemia was defined as having baseline LDL-cholesterol >_3 mmol/L, among individuals in the treated hypercholesterolaemia sub-cohort. We used prospective follow-up data to assess the composite outcome of incident major adverse cardiovascular events (MACE), which we defined as the first non-fatal stroke (ischaemic or haemorrhagic), non-fatal myocardial infarction, or fatal cardiovascular events, or disease-modifying cardiovascular procedures. We identified MACE components using International Classification of Diseases (ICD-9 and ICD-10) and the Office of Population Censuses and Surveys Classification of Interventions and Procedures version 4 (OPCS-4) codes from Hospital Episodes Statistics (HES) data, and death registries data.	Median = 11.4 years	33,787 individuals [ 11,767 cases , 22,020 controls ] , 58.5 % Male samples	Mean = 61.7 years	European (white British)	—	UKB	—
PSS001124	Individuals with severe hypercholesterolemia (HC) had a LDL-C level > 4.9 mmol/L. 124 individuals had severe HC, based on this criteria. Individuals with intermediate HC had a LDL-C level 3.0 ≤ LDL‐C ≤ 4.9 mmol/L. 1927 individuals had intermediate HC, based on this criteria. Individuals classified as having normal LDL-C levels had LDL-C levels < 3.0 mmol/L. 2733 individuals had normal LDL-C levels, based on this criteria.	—	4,787 individuals, 48.0 % Male samples	Mean = 31.0 years Sd = 0.2 years	European	—	NFBC	—
PSS009150	—	—	3,946 individuals	—	European	Poland (NE Europe)	UKB	—