| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004612 |
| Description | The measurement of HDL cholesterol in blood used as a risk indicator for heart disease. | Trait category |
Lipid or lipoprotein measurement
|
| Synonym | HDL measurement |
| Mapped terms |
3 mapped terms
|
| 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) |
|---|---|---|---|---|---|---|
| PGS000060 (GRS_HDL) |
PGP000045 | Johnson L et al. PLoS One (2015) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 46 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000060/ScoringFiles/PGS000060.txt.gz |
| PGS000064 (GLGC2017_HDL) |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 120 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000064/ScoringFiles/PGS000064.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 |
| PGS000309 (GRS247_HDL) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 247 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000309/ScoringFiles/PGS000309.txt.gz |
| PGS000660 (PRS-HDL) |
PGP000121 | Tam CHT et al. Genome Med (2021) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 549 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000660/ScoringFiles/PGS000660.txt.gz | |
| PGS000686 (snpnet.HDL_cholesterol) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
HDL cholesterol [mmol/L] | high density lipoprotein cholesterol measurement | 25,069 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000686/ScoringFiles/PGS000686.txt.gz |
| PGS000825 (HDL-C_PGS) |
PGP000210 | Zubair N et al. Sci Rep (2019) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 883 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000825/ScoringFiles/PGS000825.txt.gz |
| PGS000845 (HDL) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 303 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000845/ScoringFiles/PGS000845.txt.gz |
| PGS001954 (portability-PLR_log_HDL) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 85,429 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001954/ScoringFiles/PGS001954.txt.gz |
| PGS002172 (portability-ldpred2_log_HDL) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 732,902 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002172/ScoringFiles/PGS002172.txt.gz |
| PGS002284 (GRS_286_HDL) |
PGP000313 | Kamiza AB et al. Nat Med (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 286 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002284/ScoringFiles/PGS002284.txt.gz | |
| PGS002329 (biochemistry_HDLcholesterol.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002329/ScoringFiles/PGS002329.txt.gz |
| PGS002366 (biochemistry_HDLcholesterol.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 920,924 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002366/ScoringFiles/PGS002366.txt.gz |
| PGS002401 (biochemistry_HDLcholesterol.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 15,141 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002401/ScoringFiles/PGS002401.txt.gz |
| PGS002450 (biochemistry_HDLcholesterol.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 35,979 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002450/ScoringFiles/PGS002450.txt.gz |
| PGS002499 (biochemistry_HDLcholesterol.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 141,710 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002499/ScoringFiles/PGS002499.txt.gz |
| PGS002548 (biochemistry_HDLcholesterol.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 6,518 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002548/ScoringFiles/PGS002548.txt.gz |
| PGS002597 (biochemistry_HDLcholesterol.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 4,738 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002597/ScoringFiles/PGS002597.txt.gz |
| PGS002646 (biochemistry_HDLcholesterol.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 402,183 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002646/ScoringFiles/PGS002646.txt.gz |
| PGS002695 (biochemistry_HDLcholesterol.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 971,682 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002695/ScoringFiles/PGS002695.txt.gz |
| PGS002781 (GLGC_2021_ALL_HDL_PRS_weights_PRS-CS) |
PGP000366 | Kanoni S et al. Genome Biol (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,239,184 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002781/ScoringFiles/PGS002781.txt.gz |
| PGS002954 (ExPRSweb_HDL_30760-irnt_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 815,573 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002954/ScoringFiles/PGS002954.txt.gz | |
| PGS002955 (ExPRSweb_HDL_30760-irnt_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 16,393 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002955/ScoringFiles/PGS002955.txt.gz | |
| PGS002956 (ExPRSweb_HDL_30760-irnt_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 25,134 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002956/ScoringFiles/PGS002956.txt.gz | |
| PGS002957 (ExPRSweb_HDL_30760-irnt_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 7,449,065 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002957/ScoringFiles/PGS002957.txt.gz | |
| PGS002958 (ExPRSweb_HDL_30760-irnt_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,113,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002958/ScoringFiles/PGS002958.txt.gz | |
| PGS002959 (ExPRSweb_HDL_30760-raw_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 799,981 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002959/ScoringFiles/PGS002959.txt.gz | |
| PGS002960 (ExPRSweb_HDL_30760-raw_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 17,935 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002960/ScoringFiles/PGS002960.txt.gz | |
| PGS002961 (ExPRSweb_HDL_30760-raw_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 28,354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002961/ScoringFiles/PGS002961.txt.gz | |
| PGS002962 (ExPRSweb_HDL_30760-raw_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 7,449,036 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002962/ScoringFiles/PGS002962.txt.gz | |
| PGS002963 (ExPRSweb_HDL_30760-raw_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,113,830 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002963/ScoringFiles/PGS002963.txt.gz | |
| PGS003338 (CVGRS_HDL) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 79 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003338/ScoringFiles/PGS003338.txt.gz |
| PGS003347 (ALLGRS_HDL) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 92 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003347/ScoringFiles/PGS003347.txt.gz |
| PGS003534 (cont-decay-log_HDL) |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
HDL cholesterol | high density lipoprotein cholesterol measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003534/ScoringFiles/PGS003534.txt.gz |
| PGS003767 (HDL_EUR_CT) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 12,656 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003767/ScoringFiles/PGS003767.txt.gz | |
| PGS003768 (HDL_EUR_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,489,018 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003768/ScoringFiles/PGS003768.txt.gz | |
| PGS003769 (HDL_AFR_CT) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 198 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003769/ScoringFiles/PGS003769.txt.gz | |
| PGS003770 (HDL_AFR_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,678,653 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003770/ScoringFiles/PGS003770.txt.gz | |
| PGS003771 (HDL_AFR_weighted_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,678,653 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003771/ScoringFiles/PGS003771.txt.gz | |
| PGS003772 (HDL_AFR_PRSCSx) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,155,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003772/ScoringFiles/PGS003772.txt.gz | |
| PGS003773 (HDL_AFR_CTSLEB) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,102,319 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003773/ScoringFiles/PGS003773.txt.gz | |
| PGS003774 (HDL_EAS_CT) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 117 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003774/ScoringFiles/PGS003774.txt.gz | |
| PGS003775 (HDL_EAS_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 844,599 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003775/ScoringFiles/PGS003775.txt.gz | |
| PGS003776 (HDL_EAS_weighted_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 844,599 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003776/ScoringFiles/PGS003776.txt.gz | |
| PGS003777 (HDL_EAS_PRSCSx) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,155,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003777/ScoringFiles/PGS003777.txt.gz | |
| PGS003778 (HDL_EAS_CTSLEB) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 449,110 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003778/ScoringFiles/PGS003778.txt.gz | |
| PGS003779 (HDL_SAS_CT) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 71 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003779/ScoringFiles/PGS003779.txt.gz | |
| PGS003780 (HDL_SAS_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,473,121 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003780/ScoringFiles/PGS003780.txt.gz | |
| PGS003781 (HDL_SAS_weighted_LDpred2) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,473,121 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003781/ScoringFiles/PGS003781.txt.gz | |
| PGS003782 (HDL_SAS_PRSCSx) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,155,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003782/ScoringFiles/PGS003782.txt.gz | |
| PGS003783 (HDL_SAS_CTSLEB) |
PGP000489 | Zhang H et al. Nat Genet (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 771,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003783/ScoringFiles/PGS003783.txt.gz | |
| PGS003856 (PRS59_HDL) |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 59 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003856/ScoringFiles/PGS003856.txt.gz |
| PGS003875 (HDL_PRScsx_ARB_AFRweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,022,259 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003875/ScoringFiles/PGS003875.txt.gz |
| PGS003876 (HDL_PRScsx_ARB_AMRweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,067,858 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003876/ScoringFiles/PGS003876.txt.gz |
| PGS003877 (HDL_PRScsx_ARB_ARBweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 882,001 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003877/ScoringFiles/PGS003877.txt.gz |
| PGS003878 (HDL_PRScsx_ARB_EASweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 958,649 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003878/ScoringFiles/PGS003878.txt.gz |
| PGS003879 (HDL_PRScsx_ARB_EURweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,069,677 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003879/ScoringFiles/PGS003879.txt.gz |
| PGS003880 (HDL_PRScsx_ARB_SASweights) |
PGP000501 | Shim I et al. Nature Communications (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,054,648 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003880/ScoringFiles/PGS003880.txt.gz |
| PGS003986 (dbslmm.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,138,429 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003986/ScoringFiles/PGS003986.txt.gz | |
| PGS004002 (lassosum.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 7,708 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004002/ScoringFiles/PGS004002.txt.gz | |
| PGS004028 (ldpred2.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 992,696 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004028/ScoringFiles/PGS004028.txt.gz | |
| PGS004043 (ldpred2.CV.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 578,264 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004043/ScoringFiles/PGS004043.txt.gz | |
| PGS004056 (megaprs.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 791,965 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004056/ScoringFiles/PGS004056.txt.gz | |
| PGS004072 (megaprs.CV.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 791,965 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004072/ScoringFiles/PGS004072.txt.gz | |
| PGS004086 (prscs.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,103,534 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004086/ScoringFiles/PGS004086.txt.gz | |
| PGS004100 (prscs.CV.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,103,534 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004100/ScoringFiles/PGS004100.txt.gz | |
| PGS004110 (pt_clump.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 161 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004110/ScoringFiles/PGS004110.txt.gz | |
| PGS004126 (pt_clump_nested.CV.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 579 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004126/ScoringFiles/PGS004126.txt.gz | |
| PGS004140 (sbayesr.auto.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 875,144 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004140/ScoringFiles/PGS004140.txt.gz | |
| PGS004156 (UKBB_EnsPGS.GCST007140.HDL) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,138,452 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004156/ScoringFiles/PGS004156.txt.gz | |
| PGS004622 (HDL_AFR_lassosum2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 15,978 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004622/ScoringFiles/PGS004622.txt.gz | |
| PGS004623 (HDL_AFR_ldpred2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,683,003 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004623/ScoringFiles/PGS004623.txt.gz | |
| PGS004624 (HDL_AFR_PROSPER) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,688,569 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004624/ScoringFiles/PGS004624.txt.gz | |
| PGS004625 (HDL_AFR_weighted_lassosum2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 291,154 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004625/ScoringFiles/PGS004625.txt.gz | |
| PGS004626 (HDL_AFR_weighted_ldpred2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,871,796 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004626/ScoringFiles/PGS004626.txt.gz | |
| PGS004627 (HDL_EAS_lassosum2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 54,812 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004627/ScoringFiles/PGS004627.txt.gz | |
| PGS004628 (HDL_EAS_ldpred2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 847,389 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004628/ScoringFiles/PGS004628.txt.gz | |
| PGS004629 (HDL_EAS_PROSPER) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,731,178 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004629/ScoringFiles/PGS004629.txt.gz | |
| PGS004630 (HDL_EAS_weighted_lassosum2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 291,154 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004630/ScoringFiles/PGS004630.txt.gz | |
| PGS004631 (HDL_EAS_weighted_ldpred2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,871,796 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004631/ScoringFiles/PGS004631.txt.gz | |
| PGS004632 (HDL_SAS_lassosum2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 9,116 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004632/ScoringFiles/PGS004632.txt.gz | |
| PGS004633 (HDL_SAS_ldpred2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,476,939 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004633/ScoringFiles/PGS004633.txt.gz | |
| PGS004634 (HDL_SAS_PROSPER) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,731,178 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004634/ScoringFiles/PGS004634.txt.gz | |
| PGS004635 (HDL_SAS_weighted_lassosum2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 291,154 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004635/ScoringFiles/PGS004635.txt.gz | |
| PGS004636 (HDL_SAS_weighted_ldpred2) |
PGP000595 | Zhang J et al. Nat Commun (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,871,796 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004636/ScoringFiles/PGS004636.txt.gz | |
| PGS004775 (hdl_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 1,120,830 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004775/ScoringFiles/PGS004775.txt.gz |
| PGS004776 (hdl_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 6,463,324 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004776/ScoringFiles/PGS004776.txt.gz |
| PGS004777 (hdl_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 4,547,847 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004777/ScoringFiles/PGS004777.txt.gz |
| PGS004778 (hdl_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 6,463,324 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004778/ScoringFiles/PGS004778.txt.gz |
| PGS004914 (HDL-C_PGS) |
PGP000647 | Trinder M et al. Arterioscler Thromb Vasc Biol (2019) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 223 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004914/ScoringFiles/PGS004914.txt.gz |
| PGS004932 (high_density_lipoprotein_cholesterol_measurement_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 17,151 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004932/ScoringFiles/PGS004932.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000151 | PGS000060 (GRS_HDL) |
PSS000098| European Ancestry| 2,063 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | β: 8.39 | — | Beta (p-value): 2.76e-06 | age, age^2, sex, GRS_LDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000152 | PGS000060 (GRS_HDL) |
PSS000097| East Asian Ancestry| 666 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | β: 15.58 | — | Beta (p-value): 2.17e-07 | age, age^2, sex, GRS_LDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000153 | PGS000060 (GRS_HDL) |
PSS000096| African Ancestry| 1,355 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | β: 7.99 | — | Beta (p-value): 0.00036 | age, age^2, sex, GRS_LDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000154 | PGS000060 (GRS_HDL) |
PSS000099| Hispanic or Latin American Ancestry| 1,256 individuals |
PGP000045 | Johnson L et al. PLoS One (2015) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | β: 10.97 | — | Beta (p-value): 6.48e-10 | age, age^2, sex, GRS_LDL, GRS_TC, GRS_TG | Association (p-value; unadjusted for covariates) < 0.001 |
| PPM000167 | PGS000064 (GLGC2017_HDL) |
PSS000104| European Ancestry| 9,962 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | — | — | correlation (r): 0.285 [0.265, 0.305] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000170 | PGS000064 (GLGC2017_HDL) |
PSS000102| European Ancestry| 1,641 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | — | — | correlation (r): 0.279 [0.222, 0.336] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000173 | PGS000064 (GLGC2017_HDL) |
PSS000103| European Ancestry| 1,945 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | — | — | correlation (r): 0.268 [0.209, 0.327] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000176 | PGS000064 (GLGC2017_HDL) |
PSS000100| African Ancestry| 6,407 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | — | — | correlation (r): 0.121 [0.098, 0.145] | age, sex | Relatedness and population structure were accounted for using a linear mixed model with random polygenic effect implemented in GEMMA |
| PPM000179 | PGS000064 (GLGC2017_HDL) |
PSS000101| East Asian Ancestry| 21,295 individuals |
PGP000046 | Kuchenbaecker K et al. Nat Commun (2019) |
Reported Trait: Serum high-density lipoprotein (HDL) levels | — | — | correlation (r): 0.18 [0.145, 0.215] | 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 |
| 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 | — |
| 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 | — | — |
| PPM000779 | PGS000309 (GRS247_HDL) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: High-density lipoprotein (mmol/l) | — | — | R²: 0.1149 | Sex, age, age^2 | — |
| PPM001357 | PGS000660 (PRS-HDL) |
PSS000587| East Asian Ancestry| 426 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: HDL cholesterol at baseline (log transformed) | β: 0.066 (0.012) | — | Pearson Correlation Coefficient (r): 0.272 Incremental R² (PRS and covariates vs. covariates-alone): 0.0558 |
age, sex, BMI, PCs | — |
| PPM001358 | PGS000660 (PRS-HDL) |
PSS000593| East Asian Ancestry| 4,917 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: HDL cholesterol at baseline (log transformed) | β: 0.064 (0.004) | — | Pearson Correlation Coefficient (r): 0.222 Incremental R² (PRS and covariates vs. covariates-alone): 0.0524 |
age, sex, BMI, PCs | — |
| PPM001359 | PGS000660 (PRS-HDL) |
PSS000589| East Asian Ancestry| 1,941 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: HDL cholesterol at baseline (log transformed) | β: 0.073 (0.006) | — | Pearson Correlation Coefficient (r): 0.239 Incremental R² (PRS and covariates vs. covariates-alone): 0.0606 |
age, sex, BMI, PCs | — |
| PPM001360 | PGS000660 (PRS-HDL) |
PSS000591| East Asian Ancestry| 865 individuals |
PGP000121 | Tam CHT et al. Genome Med (2021) |
Reported Trait: HDL cholesterol at baseline (log transformed) | β: 0.077 (0.008) | — | Pearson Correlation Coefficient (r): 0.267 Incremental R² (PRS and covariates vs. covariates-alone): 0.0827 |
age, sex, BMI, PCs | — |
| PPM001519 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000702| South Asian Ancestry| 6,689 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | Spearman's ρ: 0.39 R²: 0.30375 |
Age, sex, PCs(1-40) | — |
| PPM001554 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000703| European Ancestry| 58,251 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | R²: 0.35648 Spearman's ρ: 0.438 |
Age, sex, PCs(1-40) | — |
| PPM001577 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000818| European Ancestry| 2,127 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | Spearman's ρ: 0.301 | Age, sex | — |
| PPM001578 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000819| European Ancestry| 2,002 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | Spearman's ρ: 0.305 | Age, sex | — |
| PPM001414 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000699| African Ancestry| 5,573 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | R²: 0.17487 Spearman's ρ: 0.241 |
Age, sex, PCs(1-40) | — |
| PPM001449 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000700| East Asian Ancestry| 986 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | R²: 0.31466 Spearman's ρ: 0.326 |
Age, sex, PCs(1-40) | — |
| PPM001484 | PGS000686 (snpnet.HDL_cholesterol) |
PSS000701| European Ancestry| 21,542 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: HDL cholesterol [mmol/L] | — | — | R²: 0.36109 Spearman's ρ: 0.422 |
Age, sex, PCs(1-40) | — |
| PPM007355 | PGS000686 (snpnet.HDL_cholesterol) |
PSS007161| African Ancestry| 5,656 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: HDL cholesterol | — | — | R²: 0.17012 [0.15349, 0.18676] Incremental R2 (full-covars): 0.05232 PGS R2 (no covariates): 0.05099 [0.04058, 0.06141] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007356 | PGS000686 (snpnet.HDL_cholesterol) |
PSS007162| East Asian Ancestry| 1,475 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: HDL cholesterol | — | — | R²: 0.29075 [0.25451, 0.32699] Incremental R2 (full-covars): 0.07379 PGS R2 (no covariates): 0.07936 [0.05478, 0.10393] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007357 | PGS000686 (snpnet.HDL_cholesterol) |
PSS007163| European Ancestry| 21,750 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: HDL cholesterol | — | — | R²: 0.32462 [0.31507, 0.33418] Incremental R2 (full-covars): 0.13703 PGS R2 (no covariates): 0.14659 [0.13848, 0.15471] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007358 | PGS000686 (snpnet.HDL_cholesterol) |
PSS007164| South Asian Ancestry| 6,782 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: HDL cholesterol | — | — | R²: 0.27847 [0.26161, 0.29532] Incremental R2 (full-covars): 0.12939 PGS R2 (no covariates): 0.13685 [0.12272, 0.15099] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007359 | PGS000686 (snpnet.HDL_cholesterol) |
PSS007165| European Ancestry| 59,060 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: HDL cholesterol | — | — | R²: 0.32153 [0.31572, 0.32734] Incremental R2 (full-covars): 0.14881 PGS R2 (no covariates): 0.16158 [0.15649, 0.16667] |
age, sex, UKB array type, Genotype PCs | — |
| PPM002231 | PGS000825 (HDL-C_PGS) |
PSS001083| Multi-ancestry (including European)| 2,531 individuals |
PGP000210 | Zubair N et al. Sci Rep (2019) |
Reported Trait: High density lipoprotein cholesterol | — | — | R²: 0.069 | Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor | — |
| PPM002308 | PGS000845 (HDL) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.98 [0.89, 1.09] | — | — | PC1-10 | — |
| PPM002309 | PGS000845 (HDL) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.97 [0.9, 1.04] | — | — | PC1-10 | — |
| PPM002310 | PGS000845 (HDL) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.91 [0.84, 0.97] | — | — | PC1-10 | — |
| PPM002311 | PGS000845 (HDL) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 0.94 [0.88, 1.0] | — | — | PC1-10 | — |
| PPM002312 | PGS000845 (HDL) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.0 [0.95, 1.05] | — | — | PC1-10 | — |
| PPM010507 | PGS001954 (portability-PLR_log_HDL) |
PSS009432| European Ancestry| 17,454 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4605 [0.4488, 0.4721] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010508 | PGS001954 (portability-PLR_log_HDL) |
PSS009206| European Ancestry| 3,590 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4525 [0.4261, 0.4782] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010509 | PGS001954 (portability-PLR_log_HDL) |
PSS008760| European Ancestry| 5,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4564 [0.4357, 0.4765] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010510 | PGS001954 (portability-PLR_log_HDL) |
PSS008534| Greater Middle Eastern Ancestry| 1,034 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4038 [0.351, 0.4541] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010511 | PGS001954 (portability-PLR_log_HDL) |
PSS008312| South Asian Ancestry| 5,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.409 [0.3867, 0.4309] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010513 | PGS001954 (portability-PLR_log_HDL) |
PSS007876| African Ancestry| 2,160 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.3126 [0.2739, 0.3504] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010514 | PGS001954 (portability-PLR_log_HDL) |
PSS008980| African Ancestry| 3,401 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.2509 [0.219, 0.2822] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010512 | PGS001954 (portability-PLR_log_HDL) |
PSS008089| East Asian Ancestry| 1,562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.3656 [0.3215, 0.408] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012223 | PGS002172 (portability-ldpred2_log_HDL) |
PSS009432| European Ancestry| 17,454 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4488 [0.4369, 0.4606] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012224 | PGS002172 (portability-ldpred2_log_HDL) |
PSS009206| European Ancestry| 3,590 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4312 [0.4041, 0.4575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012225 | PGS002172 (portability-ldpred2_log_HDL) |
PSS008760| European Ancestry| 5,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4468 [0.426, 0.4672] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012226 | PGS002172 (portability-ldpred2_log_HDL) |
PSS008534| Greater Middle Eastern Ancestry| 1,034 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.3881 [0.3345, 0.4391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012227 | PGS002172 (portability-ldpred2_log_HDL) |
PSS008312| South Asian Ancestry| 5,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.4033 [0.3808, 0.4253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012228 | PGS002172 (portability-ldpred2_log_HDL) |
PSS008089| East Asian Ancestry| 1,562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.3613 [0.3171, 0.404] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012230 | PGS002172 (portability-ldpred2_log_HDL) |
PSS008980| African Ancestry| 3,401 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.2397 [0.2077, 0.2713] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012229 | PGS002172 (portability-ldpred2_log_HDL) |
PSS007876| African Ancestry| 2,160 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: HDL cholesterol | — | — | Partial Correlation (partial-r): 0.2789 [0.2393, 0.3175] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012982 | PGS002284 (GRS_286_HDL) |
PSS009639| African Ancestry| 2,569 individuals |
PGP000313 | Kamiza AB et al. Nat Med (2022) |
Reported Trait: High density lipoprotein cholesterol levels | — | — | R²: 0.0213 | age, sex, type 2 diabetes, PC1, PC2, PC3, PC4, PC5 | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment) |
| PPM013094 | PGS002329 (biochemistry_HDLcholesterol.BOLT-LMM) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0518 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013143 | PGS002329 (biochemistry_HDLcholesterol.BOLT-LMM) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0918 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013192 | PGS002329 (biochemistry_HDLcholesterol.BOLT-LMM) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.1578 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013241 | PGS002329 (biochemistry_HDLcholesterol.BOLT-LMM) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.1256 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013301 | PGS002366 (biochemistry_HDLcholesterol.BOLT-LMM-BBJ) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.087 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013324 | PGS002366 (biochemistry_HDLcholesterol.BOLT-LMM-BBJ) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0175 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013347 | PGS002366 (biochemistry_HDLcholesterol.BOLT-LMM-BBJ) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0352 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013278 | PGS002366 (biochemistry_HDLcholesterol.BOLT-LMM-BBJ) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0132 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013382 | PGS002401 (biochemistry_HDLcholesterol.P+T.0.0001) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0065 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013480 | PGS002401 (biochemistry_HDLcholesterol.P+T.0.0001) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0831 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013529 | PGS002401 (biochemistry_HDLcholesterol.P+T.0.0001) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.062 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013431 | PGS002401 (biochemistry_HDLcholesterol.P+T.0.0001) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0511 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013578 | PGS002450 (biochemistry_HDLcholesterol.P+T.0.001) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013627 | PGS002450 (biochemistry_HDLcholesterol.P+T.0.001) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0372 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013676 | PGS002450 (biochemistry_HDLcholesterol.P+T.0.001) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0866 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013725 | PGS002450 (biochemistry_HDLcholesterol.P+T.0.001) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.052 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013823 | PGS002499 (biochemistry_HDLcholesterol.P+T.0.01) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0015 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013872 | PGS002499 (biochemistry_HDLcholesterol.P+T.0.01) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0649 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013774 | PGS002499 (biochemistry_HDLcholesterol.P+T.0.01) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013921 | PGS002499 (biochemistry_HDLcholesterol.P+T.0.01) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0142 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013970 | PGS002548 (biochemistry_HDLcholesterol.P+T.1e-06) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0317 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014019 | PGS002548 (biochemistry_HDLcholesterol.P+T.1e-06) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0456 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014117 | PGS002548 (biochemistry_HDLcholesterol.P+T.1e-06) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0643 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014068 | PGS002548 (biochemistry_HDLcholesterol.P+T.1e-06) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0746 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014166 | PGS002597 (biochemistry_HDLcholesterol.P+T.5e-08) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0309 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014215 | PGS002597 (biochemistry_HDLcholesterol.P+T.5e-08) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.044 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014264 | PGS002597 (biochemistry_HDLcholesterol.P+T.5e-08) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0717 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014313 | PGS002597 (biochemistry_HDLcholesterol.P+T.5e-08) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.0625 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014362 | PGS002646 (biochemistry_HDLcholesterol.PolyFun-pred) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.071 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HDLcholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014411 | PGS002646 (biochemistry_HDLcholesterol.PolyFun-pred) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1071 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HDLcholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014460 | PGS002646 (biochemistry_HDLcholesterol.PolyFun-pred) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1701 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HDLcholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014509 | PGS002646 (biochemistry_HDLcholesterol.PolyFun-pred) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1352 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_HDLcholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014705 | PGS002695 (biochemistry_HDLcholesterol.SBayesR) |
PSS009762| South Asian Ancestry| 6,980 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.1219 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014558 | PGS002695 (biochemistry_HDLcholesterol.SBayesR) |
PSS009759| African Ancestry| 5,619 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.046 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014607 | PGS002695 (biochemistry_HDLcholesterol.SBayesR) |
PSS009760| East Asian Ancestry| 797 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.1017 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014656 | PGS002695 (biochemistry_HDLcholesterol.SBayesR) |
PSS009761| European Ancestry| 37,633 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: HDL Cholesterol | — | — | Incremental R2 (full model vs. covariates alone): 0.1543 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM016161 | PGS002781 (GLGC_2021_ALL_HDL_PRS_weights_PRS-CS) |
PSS010052| Multi-ancestry (including European)| 461,918 individuals |
PGP000366 | Kanoni S et al. Genome Biol (2022) |
Reported Trait: Baseline HDL cholesterol | — | — | R²: 0.13 | sex, batch, age at initial assessment, PCs1-4 | — |
| PPM015833 | PGS002954 (ExPRSweb_HDL_30760-irnt_LASSOSUM_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.29 (0.128) | — | R²: 0.0815 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015836 | PGS002955 (ExPRSweb_HDL_30760-irnt_PT_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.39 (0.127) | — | R²: 0.0903 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015834 | PGS002956 (ExPRSweb_HDL_30760-irnt_PLINK_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.34 (0.127) | — | R²: 0.0883 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015832 | PGS002957 (ExPRSweb_HDL_30760-irnt_DBSLMM_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.49 (0.125) | — | R²: 0.0956 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015835 | PGS002958 (ExPRSweb_HDL_30760-irnt_PRSCS_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.68 (0.128) | — | R²: 0.0965 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015838 | PGS002959 (ExPRSweb_HDL_30760-raw_LASSOSUM_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.28 (0.129) | — | R²: 0.0812 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015841 | PGS002960 (ExPRSweb_HDL_30760-raw_PT_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.35 (0.127) | — | R²: 0.0885 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015839 | PGS002961 (ExPRSweb_HDL_30760-raw_PLINK_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.31 (0.128) | — | R²: 0.0863 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015837 | PGS002962 (ExPRSweb_HDL_30760-raw_DBSLMM_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.4 (0.126) | — | R²: 0.0921 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015840 | PGS002963 (ExPRSweb_HDL_30760-raw_PRSCS_MGI_20211120) |
PSS010006| European Ancestry| 9,320 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: HDL | β: 4.65 (0.127) | — | R²: 0.0955 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016177 | PGS003338 (CVGRS_HDL) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: HDL cholesterol level | β: 0.32033 | — | — | — | — |
| PPM016194 | PGS003338 (CVGRS_HDL) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Type 2 diabetes | OR: 1.03795 | — | — | — | — |
| PPM016186 | PGS003347 (ALLGRS_HDL) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: HDL cholesterol level | β: 0.32811 | — | — | — | — |
| PPM017546 | PGS003534 (cont-decay-log_HDL) |
PSS010814| European Ancestry| 3,578 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017462 | PGS003534 (cont-decay-log_HDL) |
PSS010898| European Ancestry| 17,539 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017630 | PGS003534 (cont-decay-log_HDL) |
PSS010646| European Ancestry| 5,659 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.19 | sex, age, deprivation index, PC1-16 | — |
| PPM017714 | PGS003534 (cont-decay-log_HDL) |
PSS010562| Greater Middle Eastern Ancestry| 1,005 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017798 | PGS003534 (cont-decay-log_HDL) |
PSS010226| European Ancestry| 2,058 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017882 | PGS003534 (cont-decay-log_HDL) |
PSS010478| South Asian Ancestry| 5,426 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017966 | PGS003534 (cont-decay-log_HDL) |
PSS010394| East Asian Ancestry| 1,552 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM018050 | PGS003534 (cont-decay-log_HDL) |
PSS010310| African Ancestry| 2,149 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM018134 | PGS003534 (cont-decay-log_HDL) |
PSS010730| African Ancestry| 3,374 individuals |
PGP000457 | Ding Y et al. bioRxiv (2022) |Pre |
Reported Trait: HDL cholesterol | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM018574 | PGS003767 (HDL_EUR_CT) |
PSS011039| European Ancestry| 8,742 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.15258 | — | — |
| PPM018575 | PGS003768 (HDL_EUR_LDpred2) |
PSS011039| European Ancestry| 8,742 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.1317 | — | — |
| PPM018576 | PGS003769 (HDL_AFR_CT) |
PSS011037| African Ancestry| 3,983 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.0619 | — | — |
| PPM018577 | PGS003770 (HDL_AFR_LDpred2) |
PSS011037| African Ancestry| 3,983 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.03136 | — | — |
| PPM018578 | PGS003771 (HDL_AFR_weighted_LDpred2) |
PSS011037| African Ancestry| 3,983 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.04141 | — | — |
| PPM018579 | PGS003772 (HDL_AFR_PRSCSx) |
PSS011037| African Ancestry| 3,983 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.08167 | — | — |
| PPM018580 | PGS003773 (HDL_AFR_CTSLEB) |
PSS011037| African Ancestry| 3,983 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.09223 | — | — |
| PPM018581 | PGS003774 (HDL_EAS_CT) |
PSS011038| East Asian Ancestry| 892 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.10725 | — | — |
| PPM018582 | PGS003775 (HDL_EAS_LDpred2) |
PSS011038| East Asian Ancestry| 892 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.06521 | — | — |
| PPM018583 | PGS003776 (HDL_EAS_weighted_LDpred2) |
PSS011038| East Asian Ancestry| 892 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.0832 | — | — |
| PPM018584 | PGS003777 (HDL_EAS_PRSCSx) |
PSS011038| East Asian Ancestry| 892 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.14723 | — | — |
| PPM018585 | PGS003778 (HDL_EAS_CTSLEB) |
PSS011038| East Asian Ancestry| 892 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.13551 | — | — |
| PPM018586 | PGS003779 (HDL_SAS_CT) |
PSS011040| South Asian Ancestry| 4,702 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.08221 | — | — |
| PPM018587 | PGS003780 (HDL_SAS_LDpred2) |
PSS011040| South Asian Ancestry| 4,702 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.04225 | — | — |
| PPM018588 | PGS003781 (HDL_SAS_weighted_LDpred2) |
PSS011040| South Asian Ancestry| 4,702 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.08793 | — | — |
| PPM018589 | PGS003782 (HDL_SAS_PRSCSx) |
PSS011040| South Asian Ancestry| 4,702 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.14637 | — | — |
| PPM018590 | PGS003783 (HDL_SAS_CTSLEB) |
PSS011040| South Asian Ancestry| 4,702 individuals |
PGP000489 | Zhang H et al. Nat Genet (2023) |
Reported Trait: High-density lipoprotein cholesterol | — | — | R²: 0.14886 | — | — |
| PPM018688 | PGS003856 (PRS59_HDL) |
PSS011066| East Asian Ancestry| 37,317 individuals |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
Reported Trait: Estimated annual change of HDL cholesterol | — | — | p-value (inferior to): 0.001 | — | — |
| PPM018692 | PGS003856 (PRS59_HDL) |
PSS011068| East Asian Ancestry| 15,664 individuals |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
Reported Trait: Estimated annual change of HDL cholesterol | — | — | p-value (inferior to): 0.001 | — | — |
| PPM018696 | PGS003856 (PRS59_HDL) |
PSS011067| East Asian Ancestry| 21,653 individuals |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
Reported Trait: Estimated annual change of HDL cholesterol | — | — | p-value (inferior to): 0.001 | — | — |
| PPM018767 | PGS003875 (HDL_PRScsx_ARB_AFRweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: HDL cholesterol | β: 3.67 (0.27) | — | R²: 0.1424 | 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 = (0.2431982*zscoreAFR) + (0.8586968*zscoreAMR) + (0.5830709*zscoreARB) + (0.7186383*zscoreEAS) + (1.084247*zscoreEUR) + (1.2259372*zscoreSAS). |
| PPM018768 | PGS003876 (HDL_PRScsx_ARB_AMRweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: HDL cholesterol | β: 3.67 (0.27) | — | R²: 0.1424 | 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 = (0.2431982*zscoreAFR) + (0.8586968*zscoreAMR) + (0.5830709*zscoreARB) + (0.7186383*zscoreEAS) + (1.084247*zscoreEUR) + (1.2259372*zscoreSAS). |
| PPM018769 | PGS003877 (HDL_PRScsx_ARB_ARBweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: HDL cholesterol | β: 3.67 (0.27) | — | R²: 0.1424 | 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 = (0.2431982*zscoreAFR) + (0.8586968*zscoreAMR) + (0.5830709*zscoreARB) + (0.7186383*zscoreEAS) + (1.084247*zscoreEUR) + (1.2259372*zscoreSAS). |
| PPM018770 | PGS003878 (HDL_PRScsx_ARB_EASweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: HDL cholesterol | β: 3.67 (0.27) | — | R²: 0.1424 | 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 = (0.2431982*zscoreAFR) + (0.8586968*zscoreAMR) + (0.5830709*zscoreARB) + (0.7186383*zscoreEAS) + (1.084247*zscoreEUR) + (1.2259372*zscoreSAS). |
| PPM018771 | PGS003879 (HDL_PRScsx_ARB_EURweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: HDL cholesterol | β: 3.67 (0.27) | — | R²: 0.1424 | 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 = (0.2431982*zscoreAFR) + (0.8586968*zscoreAMR) + (0.5830709*zscoreARB) + (0.7186383*zscoreEAS) + (1.084247*zscoreEUR) + (1.2259372*zscoreSAS). |
| PPM018772 | PGS003880 (HDL_PRScsx_ARB_SASweights) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: HDL cholesterol | β: 3.67 (0.27) | — | R²: 0.1424 | 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 = (0.2431982*zscoreAFR) + (0.8586968*zscoreAMR) + (0.5830709*zscoreARB) + (0.7186383*zscoreEAS) + (1.084247*zscoreEUR) + (1.2259372*zscoreSAS). |
| PPM019596 | PGS003986 (dbslmm.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.25416 [0.23578552, 0.27253966] | — | R²: 0.0646 [0.05559481, 0.07427787] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019597 | PGS003986 (dbslmm.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.32356 [0.31278511, 0.33433416] | — | R²: 0.10469 [0.09783453, 0.11177933] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019598 | PGS003986 (dbslmm.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.33276 [0.32448074, 0.34104166] | — | R²: 0.11073 [0.10528775, 0.11630941] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019599 | PGS003986 (dbslmm.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.28776 [0.26685099, 0.30865915] | — | R²: 0.0828 [0.07120945, 0.09527047] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019600 | PGS003986 (dbslmm.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.3104 [0.30377634, 0.31701712] | — | R²: 0.09681 [0.09272556, 0.10098503] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019636 | PGS004002 (lassosum.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.2609 [0.24255263, 0.27923857] | — | R²: 0.06807 [0.05883178, 0.07797418] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019637 | PGS004002 (lassosum.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.31942 [0.3086293, 0.33021035] | — | R²: 0.10203 [0.09525204, 0.10903888] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019638 | PGS004002 (lassosum.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.32133 [0.31301494, 0.32964533] | — | R²: 0.10325 [0.09797835, 0.10866604] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019639 | PGS004002 (lassosum.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.28641 [0.26549706, 0.30732282] | — | R²: 0.08203 [0.07048869, 0.09444732] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019640 | PGS004002 (lassosum.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.30952 [0.30290183, 0.31613205] | — | R²: 0.09646 [0.09237613, 0.10062202] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019611 | PGS004028 (ldpred2.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.22842 [0.20992422, 0.24692159] | — | R²: 0.05218 [0.04406818, 0.06097027] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019612 | PGS004028 (ldpred2.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.2698 [0.2588313, 0.2807609] | — | R²: 0.07279 [0.06699364, 0.07882668] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019613 | PGS004028 (ldpred2.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.30321 [0.29484741, 0.31158239] | — | R²: 0.09194 [0.086935, 0.09708358] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019614 | PGS004028 (ldpred2.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.24804 [0.22689504, 0.26918539] | — | R²: 0.06152 [0.05148136, 0.07246078] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019615 | PGS004028 (ldpred2.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.29375 [0.28711491, 0.30038872] | — | R²: 0.08719 [0.08329882, 0.09117895] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019581 | PGS004043 (ldpred2.CV.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.26872 [0.25042101, 0.28702527] | — | R²: 0.07221 [0.06271068, 0.0823835] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019583 | PGS004043 (ldpred2.CV.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.33678 [0.32851409, 0.34504992] | — | R²: 0.11342 [0.10792151, 0.11905945] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019584 | PGS004043 (ldpred2.CV.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.29518 [0.27432433, 0.31603374] | — | R²: 0.08713 [0.07525384, 0.09987733] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019585 | PGS004043 (ldpred2.CV.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.32507 [0.31849197, 0.33164283] | — | R²: 0.10648 [0.10221894, 0.11083467] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019582 | PGS004043 (ldpred2.CV.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.33264 [0.32189929, 0.34337652] | — | R²: 0.11065 [0.10361915, 0.11790744] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019616 | PGS004056 (megaprs.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.25856 [0.24020175, 0.2769116] | — | R²: 0.06685 [0.05769688, 0.07668003] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019617 | PGS004056 (megaprs.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.29794 [0.28707191, 0.30881172] | — | R²: 0.08877 [0.08241028, 0.09536468] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019618 | PGS004056 (megaprs.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.30975 [0.30139643, 0.31809447] | — | R²: 0.09594 [0.09083981, 0.10118409] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019619 | PGS004056 (megaprs.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.27027 [0.24925953, 0.29128942] | — | R²: 0.07305 [0.06213031, 0.08484953] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019620 | PGS004056 (megaprs.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.30312 [0.29648977, 0.30974588] | — | R²: 0.09255 [0.08854256, 0.09663707] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019621 | PGS004072 (megaprs.CV.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.26826 [0.24995813, 0.28656726] | — | R²: 0.07196 [0.06247907, 0.0821208] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019622 | PGS004072 (megaprs.CV.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.31437 [0.30356251, 0.32518198] | — | R²: 0.09883 [0.0921502, 0.10574332] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019623 | PGS004072 (megaprs.CV.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.32671 [0.31841325, 0.33501127] | — | R²: 0.10674 [0.101387, 0.11223255] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019624 | PGS004072 (megaprs.CV.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.28601 [0.2650985, 0.30692942] | — | R²: 0.0818 [0.07027721, 0.09420567] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019625 | PGS004072 (megaprs.CV.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.31308 [0.30647382, 0.31969193] | — | R²: 0.09863 [0.09451257, 0.10284097] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019631 | PGS004086 (prscs.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.26523 [0.24690866, 0.28354971] | — | R²: 0.07035 [0.06096389, 0.08040044] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019632 | PGS004086 (prscs.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.32349 [0.3127154, 0.33426499] | — | R²: 0.10465 [0.09779092, 0.11173309] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019633 | PGS004086 (prscs.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.33006 [0.32177397, 0.33835153] | — | R²: 0.10894 [0.10353849, 0.11448176] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019634 | PGS004086 (prscs.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.28497 [0.26404296, 0.30588752] | — | R²: 0.08121 [0.06971868, 0.09356717] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019635 | PGS004086 (prscs.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.3146 [0.3079978, 0.32119719] | — | R²: 0.09975 [0.09560734, 0.10397752] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019626 | PGS004100 (prscs.CV.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.2649 [0.24657456, 0.28321908] | — | R²: 0.07017 [0.06079901, 0.08021305] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019627 | PGS004100 (prscs.CV.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.32581 [0.31504117, 0.33657265] | — | R²: 0.10615 [0.09925094, 0.11328115] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019628 | PGS004100 (prscs.CV.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.33324 [0.32495751, 0.34151548] | — | R²: 0.11105 [0.10559739, 0.11663282] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019629 | PGS004100 (prscs.CV.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.28641 [0.26550017, 0.30732589] | — | R²: 0.08203 [0.07049034, 0.0944492] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019630 | PGS004100 (prscs.CV.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.31709 [0.31049828, 0.32367192] | — | R²: 0.10153 [0.0973535, 0.10578966] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019586 | PGS004110 (pt_clump.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.19456 [0.17591835, 0.21319426] | — | R²: 0.03785 [0.03094727, 0.04545179] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019587 | PGS004110 (pt_clump.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.26354 [0.25255154, 0.27452058] | — | R²: 0.06945 [0.06378228, 0.07536155] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019588 | PGS004110 (pt_clump.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.24443 [0.2359114, 0.25294046] | — | R²: 0.05974 [0.05565419, 0.06397887] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019589 | PGS004110 (pt_clump.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.21783 [0.19652673, 0.23913302] | — | R²: 0.04745 [0.03862276, 0.0571846] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019590 | PGS004110 (pt_clump.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.22784 [0.22104064, 0.23464207] | — | R²: 0.05189 [0.04883975, 0.05503525] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019591 | PGS004126 (pt_clump_nested.CV.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.20542 [0.18681969, 0.22401137] | — | R²: 0.0422 [0.0349016, 0.05018109] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019592 | PGS004126 (pt_clump_nested.CV.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.26646 [0.25548665, 0.27743738] | — | R²: 0.071 [0.06527343, 0.0769715] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019593 | PGS004126 (pt_clump_nested.CV.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.25473 [0.24623963, 0.26322204] | — | R²: 0.06489 [0.06063396, 0.06928584] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019594 | PGS004126 (pt_clump_nested.CV.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.22475 [0.20348197, 0.2460197] | — | R²: 0.05051 [0.04140491, 0.06052569] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019595 | PGS004126 (pt_clump_nested.CV.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.2406 [0.23382893, 0.24736942] | — | R²: 0.05801 [0.05479162, 0.06132106] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019607 | PGS004140 (sbayesr.auto.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.30851 [0.29767636, 0.3193396] | — | R²: 0.09518 [0.08861122, 0.10197778] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019608 | PGS004140 (sbayesr.auto.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.33111 [0.32282802, 0.33939912] | — | R²: 0.10964 [0.10421793, 0.11519176] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019609 | PGS004140 (sbayesr.auto.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.27622 [0.255241, 0.29719718] | — | R²: 0.0763 [0.06514797, 0.08832617] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019610 | PGS004140 (sbayesr.auto.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.31881 [0.31220768, 0.32540847] | — | R²: 0.10214 [0.09795686, 0.10641562] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019606 | PGS004140 (sbayesr.auto.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.25977 [0.2414214, 0.27811888] | — | R²: 0.06748 [0.05828429, 0.07735011] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019601 | PGS004156 (UKBB_EnsPGS.GCST007140.HDL) |
PSS011218| European Ancestry| 10,642 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.28413 [0.26590711, 0.30234301] | — | R²: 0.08073 [0.07070659, 0.0914113] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019602 | PGS004156 (UKBB_EnsPGS.GCST007140.HDL) |
PSS011241| South Asian Ancestry| 29,628 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.34723 [0.33655016, 0.35790728] | — | R²: 0.12057 [0.11326601, 0.12809762] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019603 | PGS004156 (UKBB_EnsPGS.GCST007140.HDL) |
PSS011257| European Ancestry| 49,824 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.35432 [0.34611008, 0.36253248] | — | R²: 0.12554 [0.11979219, 0.1314298] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019604 | PGS004156 (UKBB_EnsPGS.GCST007140.HDL) |
PSS011285| South Asian Ancestry| 8,065 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.30961 [0.2888563, 0.33036583] | — | R²: 0.09586 [0.08343796, 0.10914158] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM019605 | PGS004156 (UKBB_EnsPGS.GCST007140.HDL) |
PSS011271| European Ancestry| 78,782 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: high-density lipoprotein cholesterol | β: 0.34098 [0.3344376, 0.34752119] | — | R²: 0.11698 [0.1125349, 0.12151212] | 0 | beta = sd_trait/sd_pgs = pearson correlation |
| PPM020807 | PGS004622 (HDL_AFR_lassosum2) |
PSS011419| African Ancestry| 3,983 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.0872 | — | — |
| PPM020808 | PGS004623 (HDL_AFR_ldpred2) |
PSS011419| African Ancestry| 3,983 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.0913 | — | — |
| PPM020809 | PGS004624 (HDL_AFR_PROSPER) |
PSS011419| African Ancestry| 3,983 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1096 | — | — |
| PPM020810 | PGS004625 (HDL_AFR_weighted_lassosum2) |
PSS011419| African Ancestry| 3,983 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.0929 | — | — |
| PPM020811 | PGS004626 (HDL_AFR_weighted_ldpred2) |
PSS011419| African Ancestry| 3,983 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.0974 | — | — |
| PPM020812 | PGS004627 (HDL_EAS_lassosum2) |
PSS011424| East Asian Ancestry| 892 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1345 | — | — |
| PPM020813 | PGS004628 (HDL_EAS_ldpred2) |
PSS011424| East Asian Ancestry| 892 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1197 | — | — |
| PPM020814 | PGS004629 (HDL_EAS_PROSPER) |
PSS011424| East Asian Ancestry| 892 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1572 | — | — |
| PPM020815 | PGS004630 (HDL_EAS_weighted_lassosum2) |
PSS011424| East Asian Ancestry| 892 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1576 | — | — |
| PPM020816 | PGS004631 (HDL_EAS_weighted_ldpred2) |
PSS011424| East Asian Ancestry| 892 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.167 | — | — |
| PPM020817 | PGS004632 (HDL_SAS_lassosum2) |
PSS011427| South Asian Ancestry| 4,702 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.094 | — | — |
| PPM020818 | PGS004633 (HDL_SAS_ldpred2) |
PSS011427| South Asian Ancestry| 4,702 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1016 | — | — |
| PPM020819 | PGS004634 (HDL_SAS_PROSPER) |
PSS011427| South Asian Ancestry| 4,702 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1564 | — | — |
| PPM020820 | PGS004635 (HDL_SAS_weighted_lassosum2) |
PSS011427| South Asian Ancestry| 4,702 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1423 | — | — |
| PPM020821 | PGS004636 (HDL_SAS_weighted_ldpred2) |
PSS011427| South Asian Ancestry| 4,702 individuals |
PGP000595 | Zhang J et al. Nat Commun (2024) |
Reported Trait: HDL cholesterol | — | — | adjusted R2: 0.1503 | — | — |
| PPM021000 | PGS004775 (hdl_PRSmix_eur) |
PSS011495| European Ancestry| 4,000 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: High-density lipoprotein | — | — | Incremental R2 (Full model versus model with only covariates): 0.155 [0.134, 0.175] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021001 | PGS004776 (hdl_PRSmix_sas) |
PSS011496| South Asian Ancestry| 6,047 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: High-density lipoprotein | — | — | Incremental R2 (Full model versus model with only covariates): 0.125 [0.109, 0.141] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021002 | PGS004777 (hdl_PRSmixPlus_eur) |
PSS011495| European Ancestry| 4,000 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: High-density lipoprotein | — | — | Incremental R2 (Full model versus model with only covariates): 0.177 [0.155, 0.198] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021003 | PGS004778 (hdl_PRSmixPlus_sas) |
PSS011496| South Asian Ancestry| 6,047 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: High-density lipoprotein | — | — | Incremental R2 (Full model versus model with only covariates): 0.13 [0.114, 0.146] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021379 | PGS004914 (HDL-C_PGS) |
PSS011714| European Ancestry| 357,202 individuals |
PGP000647 | Trinder M et al. Arterioscler Thromb Vasc Biol (2019) |
Reported Trait: High-density lipoprotein cholesterol levels | — | — | R²: 0.24 | Age, sex, genotyping array/batch, 4 PCs | — |
| PPM021382 | PGS004914 (HDL-C_PGS) |
PSS011716| European Ancestry| 407,558 individuals |
PGP000647 | Trinder M et al. Arterioscler Thromb Vasc Biol (2019) |
Reported Trait: Any infectious hospitilization | HR: 0.94 [0.91, 0.98] | — | — | Age, sex, genotyping array/batch, 4 PCs | — |
| PPM021720 | PGS004932 (high_density_lipoprotein_cholesterol_measurement_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: High density lipoprotein cholesterol level | OR: 1.02 [0.94, 1.11] | AUROC: 0.6 | — | — | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011427 | — | — | 4,702 individuals, 53.0 % Male samples |
Mean = 53.37 years Sd = 8.43 years |
South Asian | — | UKB | — |
| PSS000699 | — | — | 5,573 individuals | — | African unspecified | — | UKB | — |
| PSS000700 | — | — | 986 individuals | — | East Asian | — | UKB | — |
| PSS000701 | — | — | 21,542 individuals | — | European | Non-British White | UKB | — |
| PSS000702 | — | — | 6,689 individuals | — | South Asian | — | UKB | — |
| PSS000703 | — | — | 58,251 individuals | — | European (British) |
— | UKB | — |
| PSS011037 | — | — | 3,983 individuals, 42.0 % Male samples |
Mean = 51.82 years Sd = 8.06 years |
African American or Afro-Caribbean (African American) |
— | UKB | — |
| PSS011038 | — | — | 892 individuals, 32.0 % Male samples |
Mean = 52.47 years Sd = 7.81 years |
East Asian | — | UKB | — |
| PSS011039 | — | — | 8,742 individuals, 47.0 % Male samples |
Mean = 56.86 years Sd = 8.05 years |
European | — | UKB | — |
| PSS011040 | — | — | 4,702 individuals, 53.0 % Male samples |
Mean = 53.37 years Sd = 8.43 years |
South Asian | — | UKB | — |
| 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 | [
|
— | European | — | MDC | — |
| PSS009206 | — | — | 3,590 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010006 | HIGH DENSITY LIPOPROTEIN CHOL (LOINC: 2085-9); Quantitative | — | 9,320 individuals | — | European | — | MGI | — |
| PSS011714 | — | — | 357,202 individuals, 46.0 % Male samples |
Mean = 57.0 years | European (British) |
— | UKB | — |
| PSS011716 | Infectious disease-related hospitalizations by International Classification of Diseases (ICD) version 10 diagnosis codes included: sepsis (ICD-10 codes: A021 Salmonella septicemia, A227 Antrhrax septicemia, A40 Streptococcal septicemia, A41 Other septicemia, B377 Candidal septicemia, O85 Puerperal sepsis, R651 Systemic Inflammatory Response Syndrome of infectious origin with organ failure, R527 septic shock), pneumonia (ICD-10 codes: B012 Varicella pneumonia, J14 Pneumonia due to Haemophilus influenzae, J12 Viral pneumonia, not elsewhere classified, J16 Pneumonia due to other infectious organisms, not elsewhere classified, J15 Bacterial pneumonia, not elsewhere classified, J17 Pneumonia in diseases classified elsewhere, J18 Pneumonia, organism unspecified), gastroenteritis (ICD-10 codes: A00-A09 Intestinal infectious diseases), skin infection (ICD-10 codes: L00-L08 Infections of the skin and subcutaneous tissue), urinary tract infection (ICD-10 codes: N390 Urinary tract infection, site not specified, O23 Infections of genito-urinary tract in pregnancy), composite any infection (ICD-10 codes: All codes from chapter 1:Certain infectious and parasitic diseases), bacterial infections (ICD-10 codes: A00 Cholera, A01 Typhoid and paratyphoid fevers, A02 Other Salmonella infections, A03 Shigellosis, A04 Other bacterial intestinal infections, A05 Other bacterial foodborne intoxications, A15-A19 Tuberculosis, A20-A28 Certain zoonotic bacterial diseases, A30-A49 Other bacterial diseases, A51 Early syphilis, A52 Late syphilis, A53 Other and unspecified syphilis, A54 Gonococcal infection, A56 Other sexually transmitted chlamydial diseases, A65-A69 Other spirochaetal diseases, A70-A74 Other diseases caused by chlamydiae, A75-A79 Rickettsioses, B90 Sequelae of tuberculosis, B95 Streptococcus and staphylococcus as the cause of diseases classified to other chapters, B96 Other bacterial agents as the cause of diseases classified to other chapters, B98 Other specified infectious agents as the cause of diseases classified to other chapters), viral infections (ICD-10 codes: A08 Viral and other specified intestinal infections, A60 Anogenital herpes viral [herpes simplex] infections, A80-A89 Viral infections of the central nervous system, A92-A99 Arthropod-borne viral fevers and viral haemorrhagic fevers, B00-B09 Viral infections characterized by skin and mucous membrane lesions, B15-B19 Viral hepatitis, B20-B24 Human immunodeficiency virus [HIV] disease, B25-B34 Other viral diseases, B941 Sequelae of viral encephalitis7, B942 Sequelae of viral hepatitis, B97 Viral agents as the cause of diseases classified to other chapters), fungal infections (ICD-10 codes: B35-B49 Mycoses) | — | [ ,
46.0 % Male samples |
Mean = 57.0 years | European (British) |
— | UKB | — |
| PSS011218 | — | — | 10,642 individuals | — | European | — | EB | — |
| PSS010730 | — | — | 3,374 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| 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 |
| PSS010226 | — | — | 2,058 individuals, 46.0 % Male samples |
Mean = 58.1 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS011241 | — | — | 29,628 individuals | — | South Asian | — | G&H | — |
| PSS011257 | — | — | 49,824 individuals | — | European | — | HUNT | — |
| PSS008760 | — | — | 5,800 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011271 | — | — | 78,782 individuals | — | European | — | UKB | — |
| PSS010052 | — | — | 461,918 individuals | — | European, African unspecified, East Asian, South Asian | — | UKB | — |
| PSS000818 | — | — | 2,127 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS000819 | — | — | 2,002 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS011285 | — | — | 8,065 individuals | — | South Asian | — | UKB | — |
| PSS010055 | — | — | 22,608 individuals | — | East Asian | — | KBA, KoGES | — |
| PSS010814 | — | — | 3,578 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010310 | — | — | 2,149 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
| PSS008312 | — | — | 5,476 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011495 | — | — | 4,000 individuals | — | European | — | AllofUs | — |
| 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 | — |
| PSS011496 | — | — | 6,047 individuals | — | South Asian | — | G&H | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS010898 | — | — | 17,539 individuals, 47.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010394 | — | — | 1,552 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS007876 | — | — | 2,160 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009432 | — | — | 17,454 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000587 | Measured using fasting blood samples | — | 426 individuals, 46.0 % Male samples |
Mean = 43.3 years Sd = 11.4 years |
East Asian (Chinese) |
— | NR | Adults |
| PSS000589 | Measured using fasting blood samples | — | 1,941 individuals, 57.7 % Male samples |
Mean = 58.2 years Sd = 12.34 years |
East Asian (Chinese) |
— | HKDB | — |
| PSS000591 | Measured using fasting blood samples | — | 865 individuals, 57.6 % Male samples |
Mean = 57.0 years Sd = 12.08 years |
East Asian (Chinese) |
— | HKDB | — |
| PSS000593 | Measured using fasting blood samples | — | 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 |
| PSS008980 | — | — | 3,401 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010478 | — | — | 5,426 individuals, 55.0 % Male samples |
Mean = 53.2 years Sd = 8.4 years |
South Asian | Indian | 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 |
| PSS008534 | — | — | 1,034 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009759 | — | — | 5,619 individuals | — | African unspecified | — | UKB | — |
| PSS009760 | — | — | 797 individuals | — | East Asian | — | UKB | — |
| PSS009761 | — | — | 37,633 individuals | — | European | Non-British European | UKB | — |
| PSS009762 | — | — | 6,980 individuals | — | South Asian | — | 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. |
| PSS010562 | — | — | 1,005 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | 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 | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS007161 | — | — | 5,656 individuals | — | African unspecified | — | UKB | — |
| PSS007162 | — | — | 1,475 individuals | — | East Asian | — | UKB | — |
| PSS007163 | — | — | 21,750 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007164 | — | — | 6,782 individuals | — | South Asian | — | UKB | — |
| PSS007165 | — | — | 59,060 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008089 | — | — | 1,562 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010646 | — | — | 5,659 individuals, 45.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS011419 | — | — | 3,983 individuals, 42.0 % Male samples |
Mean = 51.82 years Sd = 8.06 years |
African American or Afro-Caribbean | — | UKB | — |
| PSS011424 | — | — | 892 individuals, 32.0 % Male samples |
Mean = 52.47 years Sd = 7.81 years |
East Asian | — | UKB | — |