Trait: high density lipoprotein cholesterol measurement

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
  • MedDRA:10020060
  • NCIt:C105587
  • SNOMEDCT:28036006

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution 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 - Check Terms/Licenses
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 - Check Terms/Licenses
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. medRxiv (2021)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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 M R et al. medRxiv (2023)
|Pre
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

Performance Metrics

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

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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) : 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
: 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] : 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] : 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] : 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] : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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. medRxiv (2021)
|Pre
Reported Trait: Baseline HDL cholesterol : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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) : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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) : 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) : 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) : 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) : 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) : 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) : 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 M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.25416 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019597 PGS003986
(dbslmm.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.32356 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019598 PGS003986
(dbslmm.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.33276 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019599 PGS003986
(dbslmm.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.28776 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019600 PGS003986
(dbslmm.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.3104 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019636 PGS004002
(lassosum.auto.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.2609 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019637 PGS004002
(lassosum.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.31942 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019638 PGS004002
(lassosum.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.32133 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019639 PGS004002
(lassosum.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.28641 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019640 PGS004002
(lassosum.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.30952 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019611 PGS004028
(ldpred2.auto.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.22842 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019612 PGS004028
(ldpred2.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.2698 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019613 PGS004028
(ldpred2.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.30321 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019614 PGS004028
(ldpred2.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.24804 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019615 PGS004028
(ldpred2.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.29375 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019581 PGS004043
(ldpred2.CV.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.26872 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019583 PGS004043
(ldpred2.CV.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.33678 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019584 PGS004043
(ldpred2.CV.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.29518 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019585 PGS004043
(ldpred2.CV.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.32507 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019582 PGS004043
(ldpred2.CV.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.33264 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019616 PGS004056
(megaprs.auto.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.25856 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019617 PGS004056
(megaprs.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.29794 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019618 PGS004056
(megaprs.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.30975 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019619 PGS004056
(megaprs.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.27027 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019620 PGS004056
(megaprs.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.30312 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019621 PGS004072
(megaprs.CV.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.26826 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019622 PGS004072
(megaprs.CV.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.31437 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019623 PGS004072
(megaprs.CV.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.32671 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019624 PGS004072
(megaprs.CV.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.28601 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019625 PGS004072
(megaprs.CV.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.31308 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019631 PGS004086
(prscs.auto.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.26523 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019632 PGS004086
(prscs.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.32349 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019633 PGS004086
(prscs.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.33006 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019634 PGS004086
(prscs.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.28497 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019635 PGS004086
(prscs.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.3146 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019626 PGS004100
(prscs.CV.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.2649 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019627 PGS004100
(prscs.CV.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.32581 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019628 PGS004100
(prscs.CV.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.33324 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019629 PGS004100
(prscs.CV.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.28641 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019630 PGS004100
(prscs.CV.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.31709 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019586 PGS004110
(pt_clump.auto.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.19456 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019587 PGS004110
(pt_clump.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.26354 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019588 PGS004110
(pt_clump.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.24443 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019589 PGS004110
(pt_clump.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.21783 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019590 PGS004110
(pt_clump.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.22784 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019591 PGS004126
(pt_clump_nested.CV.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.20542 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 M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.26646 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019593 PGS004126
(pt_clump_nested.CV.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.25473 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 M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.22475 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019595 PGS004126
(pt_clump_nested.CV.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.2406 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019607 PGS004140
(sbayesr.auto.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.30851 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019608 PGS004140
(sbayesr.auto.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.33111 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019609 PGS004140
(sbayesr.auto.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.27622 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019610 PGS004140
(sbayesr.auto.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.31881 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019606 PGS004140
(sbayesr.auto.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.25977 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019601 PGS004156
(UKBB_EnsPGS.GCST007140.HDL)
PSS011218|
European Ancestry|
10,642 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.28413 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019602 PGS004156
(UKBB_EnsPGS.GCST007140.HDL)
PSS011241|
South Asian Ancestry|
29,628 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.34723 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019603 PGS004156
(UKBB_EnsPGS.GCST007140.HDL)
PSS011257|
European Ancestry|
49,824 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.35432 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019604 PGS004156
(UKBB_EnsPGS.GCST007140.HDL)
PSS011285|
South Asian Ancestry|
8,065 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.30961 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019605 PGS004156
(UKBB_EnsPGS.GCST007140.HDL)
PSS011271|
European Ancestry|
78,782 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: high-density lipoprotein cholesterol β: 0.34098 0 beta = sd_trait/sd_pgs = pearson correlation

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS007876 2,160 individuals African American or Afro-Caribbean Carribean 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
PSS008534 1,034 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009759 5,619 individuals African unspecified 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
PSS009432 17,454 individuals European UK (+ Ireland) 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.
PSS010814 3,578 individuals,
38.0 % Male samples
Mean = 54.4 years
Sd = 7.5 years
European Polish UKB
PSS011039 8,742 individuals,
47.0 % Male samples
Mean = 56.86 years
Sd = 8.05 years
European 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
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
PSS011040 4,702 individuals,
53.0 % Male samples
Mean = 53.37 years
Sd = 8.43 years
South Asian 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
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
[
  • 238 cases
  • , 3,994 controls
]
European MDC
PSS009206 3,590 individuals European Poland (NE Europe) 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
PSS008312 5,476 individuals South Asian India (South Asia) UKB
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
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls
[
  • 1,186 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls
[
  • 1,125 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS010006 HIGH DENSITY LIPOPROTEIN CHOL (LOINC: 2085-9); Quantitative 9,320 individuals European MGI
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
PSS007161 5,656 individuals African unspecified UKB
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
PSS007162 1,475 individuals East Asian UKB
PSS000591 Measured using fasting blood samples 865 individuals,
57.6 % Male samples
Mean = 57.0 years
Sd = 12.08 years
East Asian
(Chinese)
HKDB
PSS007163 21,750 individuals European non-white British ancestry UKB
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
PSS007164 6,782 individuals South Asian UKB
PSS007165 59,060 individuals European white British ancestry UKB Testing cohort (heldout set)
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
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
PSS010226 2,058 individuals,
46.0 % Male samples
Mean = 58.1 years
Sd = 7.1 years
European Ashkenazi UKB
PSS008089 1,562 individuals East Asian China (East Asia) UKB
PSS010478 5,426 individuals,
55.0 % Male samples
Mean = 53.2 years
Sd = 8.4 years
South Asian Indian UKB
PSS011068 15,664 individuals,
41.98 % Male samples
Mean = 51.57 years
Sd = 10.87 years
East Asian InterASIA China MUCA, CIMIC
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
PSS011241 29,628 individuals South Asian G&H
PSS011257 49,824 individuals European HUNT
PSS008760 5,800 individuals European Italy (South Europe) UKB
PSS010898 17,539 individuals,
47.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010646 5,659 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
European Italian UKB
PSS010394 1,552 individuals,
33.0 % Male samples
Mean = 52.5 years
Sd = 7.8 years
East Asian Chinese UKB