Trait: total cholesterol measurement

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004574
Description A total cholesterol measurement is the quantification of cholesterol in blood, total cholesterol is defined as the sum of HDL, LDL, and VLDL.
Trait category
Lipid or lipoprotein measurement
Synonyms 2 synonyms
  • cholesterol, total
  • total cholesterol levels
Mapped term SNOMEDCT:121868005

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)
PGS000062
(GRS_TC)
PGP000045 |
Johnson L et al. PLoS One (2015)
Total cholesterol total cholesterol measurement 52
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000062/ScoringFiles/PGS000062.txt.gz
PGS000311
(GRS234_TC)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Total cholesterol total cholesterol measurement 234
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000311/ScoringFiles/PGS000311.txt.gz
PGS000658
(PRS-TC)
PGP000121 |
Tam CHT et al. Genome Med (2021)
Total cholesterol total cholesterol measurement 229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000658/ScoringFiles/PGS000658.txt.gz
PGS000677
(snpnet.Cholesterol_adjstatins)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Cholesterol [mmol/L] (statin adjusted) total cholesterol measurement 17,204
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000677/ScoringFiles/PGS000677.txt.gz - Check Terms/Licenses
PGS000831
(Total_cholesterol_PGS)
PGP000210 |
Zubair N et al. Sci Rep (2019)
Total cholesterol total cholesterol measurement 1,032
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000831/ScoringFiles/PGS000831.txt.gz - Check Terms/Licenses
PGS001895
(portability-PLR_cholesterol)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cholesterol total cholesterol measurement 16,576
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001895/ScoringFiles/PGS001895.txt.gz
PGS002108
(portability-ldpred2_cholesterol)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cholesterol total cholesterol measurement 451,160
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002108/ScoringFiles/PGS002108.txt.gz
PGS002286
(GRS_286_TC)
PGP000313 |
Kamiza AB et al. Nat Med (2022)
Total cholesterol total cholesterol measurement 286
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002286/ScoringFiles/PGS002286.txt.gz
PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002352/ScoringFiles/PGS002352.txt.gz
PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 920,922
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002377/ScoringFiles/PGS002377.txt.gz
PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 8,526
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002424/ScoringFiles/PGS002424.txt.gz
PGS002473
(biochemistry_Cholesterol.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 22,547
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002473/ScoringFiles/PGS002473.txt.gz
PGS002522
(biochemistry_Cholesterol.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 109,026
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002522/ScoringFiles/PGS002522.txt.gz
PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 3,573
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002571/ScoringFiles/PGS002571.txt.gz
PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 2,571
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002620/ScoringFiles/PGS002620.txt.gz
PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 309,475
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002669/ScoringFiles/PGS002669.txt.gz
PGS002718
(biochemistry_Cholesterol.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Total cholesterol total cholesterol measurement 977,049
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002718/ScoringFiles/PGS002718.txt.gz
PGS002783
(GLGC_2021_ALL_TC_PRS_weights_PT)
PGP000366 |
Kanoni S et al. medRxiv (2021)
|Pre
Total cholesterol total cholesterol measurement 10,699
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002783/ScoringFiles/PGS002783.txt.gz
PGS003134
(ExPRSweb_TC_30690-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 585,328
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003134/ScoringFiles/PGS003134.txt.gz
PGS003135
(ExPRSweb_TC_30690-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 2,822
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003135/ScoringFiles/PGS003135.txt.gz
PGS003136
(ExPRSweb_TC_30690-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 3,566
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003136/ScoringFiles/PGS003136.txt.gz
PGS003137
(ExPRSweb_TC_30690-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 7,459,292
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003137/ScoringFiles/PGS003137.txt.gz
PGS003138
(ExPRSweb_TC_30690-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 1,113,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003138/ScoringFiles/PGS003138.txt.gz
PGS003139
(ExPRSweb_TC_30690-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 569,518
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003139/ScoringFiles/PGS003139.txt.gz
PGS003140
(ExPRSweb_TC_30690-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 2,863
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003140/ScoringFiles/PGS003140.txt.gz
PGS003141
(ExPRSweb_TC_30690-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 3,604
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003141/ScoringFiles/PGS003141.txt.gz
PGS003142
(ExPRSweb_TC_30690-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 7,459,288
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003142/ScoringFiles/PGS003142.txt.gz
PGS003143
(ExPRSweb_TC_30690-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Total cholesterol total cholesterol measurement 1,113,831
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003143/ScoringFiles/PGS003143.txt.gz
PGS003341
(CVGRS_TC)
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Total cholesterol total cholesterol measurement 91
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003341/ScoringFiles/PGS003341.txt.gz
PGS003350
(ALLGRS_TC)
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Total cholesterol total cholesterol measurement 102
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003350/ScoringFiles/PGS003350.txt.gz
PGS003481
(LDPred2_TC)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Total cholesterol total cholesterol measurement 842,513
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003481/ScoringFiles/PGS003481.txt.gz
PGS003495
(cont-decay-cholesterol)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Cholesterol total cholesterol measurement 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003495/ScoringFiles/PGS003495.txt.gz
PGS003818
(TC_EUR_CT)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 4,691
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003818/ScoringFiles/PGS003818.txt.gz
PGS003819
(TC_EUR_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,490,151
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003819/ScoringFiles/PGS003819.txt.gz
PGS003820
(TC_AFR_CT)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 218
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003820/ScoringFiles/PGS003820.txt.gz
PGS003821
(TC_AFR_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,687,775
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003821/ScoringFiles/PGS003821.txt.gz
PGS003822
(TC_AFR_weighted_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,687,775
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003822/ScoringFiles/PGS003822.txt.gz
PGS003823
(TC_AFR_PRSCSx)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,155,228
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003823/ScoringFiles/PGS003823.txt.gz
PGS003824
(TC_AFR_CTSLEB)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,122,865
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003824/ScoringFiles/PGS003824.txt.gz
PGS003825
(TC_EAS_CT)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 230
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003825/ScoringFiles/PGS003825.txt.gz
PGS003826
(TC_EAS_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 820,996
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003826/ScoringFiles/PGS003826.txt.gz
PGS003827
(TC_EAS_weighted_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 820,996
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003827/ScoringFiles/PGS003827.txt.gz
PGS003828
(TC_EAS_PRSCSx)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,155,228
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003828/ScoringFiles/PGS003828.txt.gz
PGS003829
(TC_EAS_CTSLEB)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 431,780
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003829/ScoringFiles/PGS003829.txt.gz
PGS003830
(TC_SAS_CT)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 32
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003830/ScoringFiles/PGS003830.txt.gz
PGS003831
(TC_SAS_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,468,958
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003831/ScoringFiles/PGS003831.txt.gz
PGS003832
(TC_SAS_weighted_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,468,958
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003832/ScoringFiles/PGS003832.txt.gz
PGS003833
(TC_SAS_PRSCSx)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 1,155,228
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003833/ScoringFiles/PGS003833.txt.gz
PGS003834
(TC_SAS_CTSLEB)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Total cholesterol total cholesterol measurement 770,490
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003834/ScoringFiles/PGS003834.txt.gz
PGS003853
(PRS60_TC)
PGP000493 |
Li J et al. JAMA Netw Open (2023)
Total cholesterol total cholesterol measurement 60
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003853/ScoringFiles/PGS003853.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
PPM000159 PGS000062
(GRS_TC)
PSS000098|
European Ancestry|
2,063 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum total cholesterol (TC) levels β: 20.69 Beta (p-value): 0.0108 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000160 PGS000062
(GRS_TC)
PSS000097|
East Asian Ancestry|
666 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum total cholesterol (TC) levels β: 8.57 Beta (p-value): 0.583 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000161 PGS000062
(GRS_TC)
PSS000096|
African Ancestry|
1,355 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum total cholesterol (TC) levels β: 1.99 Beta (p-value): 0.852 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000162 PGS000062
(GRS_TC)
PSS000099|
Hispanic or Latin American Ancestry|
1,256 individuals
PGP000045 |
Johnson L et al. PLoS One (2015)
Reported Trait: Serum total cholesterol (TC) levels β: -2.62 Beta (p-value): 0.815 age, age^2, sex, GRS_HDL, GRS_LDL, GRS_TG Association (p-value; unadjusted for covariates) < 0.001
PPM000781 PGS000311
(GRS234_TC)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Total cholesterol (mmol/l) : 0.1295 Sex, age, age^2
PPM001350 PGS000658
(PRS-TC)
PSS000593|
East Asian Ancestry|
4,917 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Total cholesterol at baseline (log transformed) β: 0.042 (0.003) Pearson Correlation Coefficient (r): 0.186
Incremental R² (PRS and covariates vs. covariates-alone): 0.0393
age, sex, BMI, PCs
PPM001351 PGS000658
(PRS-TC)
PSS000589|
East Asian Ancestry|
1,941 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Total cholesterol at baseline (log transformed) β: 0.036 (0.004) Pearson Correlation Coefficient (r): 0.187
Incremental R² (PRS and covariates vs. covariates-alone): 0.0332
age, sex, BMI, PCs
PPM001349 PGS000658
(PRS-TC)
PSS000587|
East Asian Ancestry|
426 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Total cholesterol at baseline (log transformed) β: 0.043 (0.008) Pearson Correlation Coefficient (r): 0.251
Incremental R² (PRS and covariates vs. covariates-alone): 0.0506
age, sex, BMI, PCs
PPM001352 PGS000658
(PRS-TC)
PSS000591|
East Asian Ancestry|
865 individuals
PGP000121 |
Tam CHT et al. Genome Med (2021)
Reported Trait: Total cholesterol at baseline (log transformed) β: 0.034 (0.006) Pearson Correlation Coefficient (r): 0.173
Incremental R² (PRS and covariates vs. covariates-alone): 0.0298
age, sex, BMI, PCs
PPM001405 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000662|
African Ancestry|
6,014 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) : 0.1282
Spearman's ρ: 0.26
Age, sex, PCs(1-40)
PPM001440 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000663|
East Asian Ancestry|
1,082 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) : 0.17187
Spearman's ρ: 0.314
Age, sex, PCs(1-40)
PPM001475 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000664|
European Ancestry|
23,581 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) : 0.26423
Spearman's ρ: 0.421
Age, sex, PCs(1-40)
PPM001510 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000665|
South Asian Ancestry|
7,336 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) : 0.1266
Spearman's ρ: 0.3
Age, sex, PCs(1-40)
PPM001545 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000666|
European Ancestry|
63,794 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) : 0.26395
Spearman's ρ: 0.429
Age, sex, PCs(1-40)
PPM001574 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000798|
European Ancestry|
2,004 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) Spearman's ρ: 0.173 Age, sex
PPM001573 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS000797|
European Ancestry|
2,129 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Cholesterol [mmol/L] (statin adjusted) Spearman's ρ: 0.184 Age, sex
PPM007310 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS007126|
African Ancestry|
6,097 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Cholesterol : 0.04241 [0.03283, 0.052]
Incremental R2 (full-covars): 0.03032
PGS R2 (no covariates): 0.05951 [0.04835, 0.07066]
age, sex, UKB array type, Genotype PCs
PPM007311 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS007127|
East Asian Ancestry|
1,616 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Cholesterol : 0.06535 [0.04271, 0.08799]
Incremental R2 (full-covars): 0.03188
PGS R2 (no covariates): 0.07616 [0.052, 0.10032]
age, sex, UKB array type, Genotype PCs
PPM007312 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS007128|
European Ancestry|
23,774 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Cholesterol : 0.07903 [0.0726, 0.08546]
Incremental R2 (full-covars): 0.04607
PGS R2 (no covariates): 0.10696 [0.0997, 0.11421]
age, sex, UKB array type, Genotype PCs
PPM007313 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS007129|
South Asian Ancestry|
7,426 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Cholesterol : 0.05766 [0.04764, 0.06768]
Incremental R2 (full-covars): 0.02119
PGS R2 (no covariates): 0.04196 [0.03327, 0.05065]
age, sex, UKB array type, Genotype PCs
PPM007314 PGS000677
(snpnet.Cholesterol_adjstatins)
PSS007130|
European Ancestry|
64,473 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
|Ext.
Reported Trait: Cholesterol : 0.07898 [0.07507, 0.08288]
Incremental R2 (full-covars): 0.04327
PGS R2 (no covariates): 0.09873 [0.09445, 0.103]
age, sex, UKB array type, Genotype PCs
PPM002237 PGS000831
(Total_cholesterol_PGS)
PSS001083|
Multi-ancestry (including European)|
2,531 individuals
PGP000210 |
Zubair N et al. Sci Rep (2019)
Reported Trait: Total cholesterol : 0.087 Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor
PPM010043 PGS001895
(portability-PLR_cholesterol)
PSS009391|
European Ancestry|
19,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.3271 [0.3143, 0.3397] sex, age, birth date, deprivation index, 16 PCs
PPM010044 PGS001895
(portability-PLR_cholesterol)
PSS009165|
European Ancestry|
3,952 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.343 [0.3152, 0.3703] sex, age, birth date, deprivation index, 16 PCs
PPM010045 PGS001895
(portability-PLR_cholesterol)
PSS008719|
European Ancestry|
6,326 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.3093 [0.2868, 0.3314] sex, age, birth date, deprivation index, 16 PCs
PPM010046 PGS001895
(portability-PLR_cholesterol)
PSS008493|
Greater Middle Eastern Ancestry|
1,126 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.2914 [0.2365, 0.3444] sex, age, birth date, deprivation index, 16 PCs
PPM010047 PGS001895
(portability-PLR_cholesterol)
PSS008271|
South Asian Ancestry|
6,001 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.2092 [0.1848, 0.2333] sex, age, birth date, deprivation index, 16 PCs
PPM010048 PGS001895
(portability-PLR_cholesterol)
PSS008048|
East Asian Ancestry|
1,717 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.2781 [0.2336, 0.3215] sex, age, birth date, deprivation index, 16 PCs
PPM010049 PGS001895
(portability-PLR_cholesterol)
PSS007835|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.2749 [0.2369, 0.3121] sex, age, birth date, deprivation index, 16 PCs
PPM010050 PGS001895
(portability-PLR_cholesterol)
PSS008939|
African Ancestry|
3,656 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.203 [0.1716, 0.234] sex, age, birth date, deprivation index, 16 PCs
PPM011719 PGS002108
(portability-ldpred2_cholesterol)
PSS009391|
European Ancestry|
19,002 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.3292 [0.3165, 0.3418] sex, age, birth date, deprivation index, 16 PCs
PPM011720 PGS002108
(portability-ldpred2_cholesterol)
PSS009165|
European Ancestry|
3,952 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.3416 [0.3137, 0.3689] sex, age, birth date, deprivation index, 16 PCs
PPM011721 PGS002108
(portability-ldpred2_cholesterol)
PSS008719|
European Ancestry|
6,326 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.3064 [0.2839, 0.3286] sex, age, birth date, deprivation index, 16 PCs
PPM011722 PGS002108
(portability-ldpred2_cholesterol)
PSS008493|
Greater Middle Eastern Ancestry|
1,126 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.2983 [0.2437, 0.3511] sex, age, birth date, deprivation index, 16 PCs
PPM011723 PGS002108
(portability-ldpred2_cholesterol)
PSS008271|
South Asian Ancestry|
6,001 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.215 [0.1907, 0.239] sex, age, birth date, deprivation index, 16 PCs
PPM011724 PGS002108
(portability-ldpred2_cholesterol)
PSS008048|
East Asian Ancestry|
1,717 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.2733 [0.2287, 0.3168] sex, age, birth date, deprivation index, 16 PCs
PPM011725 PGS002108
(portability-ldpred2_cholesterol)
PSS007835|
African Ancestry|
2,343 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.266 [0.2278, 0.3034] sex, age, birth date, deprivation index, 16 PCs
PPM011726 PGS002108
(portability-ldpred2_cholesterol)
PSS008939|
African Ancestry|
3,656 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Cholesterol Partial Correlation (partial-r): 0.1947 [0.1632, 0.2258] sex, age, birth date, deprivation index, 16 PCs
PPM012985 PGS002286
(GRS_286_TC)
PSS009639|
African Ancestry|
2,569 individuals
PGP000313 |
Kamiza AB et al. Nat Med (2022)
Reported Trait: Total cholesterol levels AUROC: 0.651 [0.631, 0.671] : 0.0693 age, sex, type 2 diabetes, PC1, PC2, PC3, PC4, PC5 Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment)
PPM013117 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0522 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013166 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0808 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013264 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0474 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013215 PGS002352
(biochemistry_Cholesterol.BOLT-LMM)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.1036 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013289 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0119 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013312 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0638 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013335 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.008 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013358 PGS002377
(biochemistry_Cholesterol.BOLT-LMM-BBJ)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0076 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013405 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0064 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013454 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0439 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013503 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.069 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013552 PGS002424
(biochemistry_Cholesterol.P+T.0.0001)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0221 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013601 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013650 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0333 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013699 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0652 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013748 PGS002473
(biochemistry_Cholesterol.P+T.0.001)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0148 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013797 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0006 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013846 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.006 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013895 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0224 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013944 PGS002522
(biochemistry_Cholesterol.P+T.0.01)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.004 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014042 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.04 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014091 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.064 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014140 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0226 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013993 PGS002571
(biochemistry_Cholesterol.P+T.1e-06)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0255 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014238 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0383 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014287 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0615 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014336 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0223 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014189 PGS002620
(biochemistry_Cholesterol.P+T.5e-08)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0312 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014385 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0835 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014483 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1127 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014532 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0526 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014434 PGS002669
(biochemistry_Cholesterol.PolyFun-pred)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0838 age, sex, age*sex, assessment center, genotyping array, 10 PCs See biochemistry_Cholesterol.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014581 PGS002718
(biochemistry_Cholesterol.SBayesR)
PSS009851|
African Ancestry|
6,080 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0498 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014630 PGS002718
(biochemistry_Cholesterol.SBayesR)
PSS009852|
East Asian Ancestry|
877 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0638 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014679 PGS002718
(biochemistry_Cholesterol.SBayesR)
PSS009853|
European Ancestry|
41,214 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0966 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014728 PGS002718
(biochemistry_Cholesterol.SBayesR)
PSS009854|
South Asian Ancestry|
7,655 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Total cholesterol Incremental R2 (full model vs. covariates alone): 0.0413 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM016163 PGS002783
(GLGC_2021_ALL_TC_PRS_weights_PT)
PSS010052|
Multi-ancestry (including European)|
461,918 individuals
PGP000366 |
Kanoni S et al. medRxiv (2021)
|Pre
Reported Trait: Baseline Total cholesterol : 0.14 sex, batch, age at initial assessment, PCs1-4
PPM016028 PGS003134
(ExPRSweb_TC_30690-irnt_LASSOSUM_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.9 (0.343) : 0.0624 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016031 PGS003135
(ExPRSweb_TC_30690-irnt_PT_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.69 (0.341) : 0.0607 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016029 PGS003136
(ExPRSweb_TC_30690-irnt_PLINK_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.81 (0.339) : 0.063 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016027 PGS003137
(ExPRSweb_TC_30690-irnt_DBSLMM_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.76 (0.335) : 0.0639 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016030 PGS003138
(ExPRSweb_TC_30690-irnt_PRSCS_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 9.39 (0.34) : 0.07 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016033 PGS003139
(ExPRSweb_TC_30690-raw_LASSOSUM_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.78 (0.344) : 0.0608 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016036 PGS003140
(ExPRSweb_TC_30690-raw_PT_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.69 (0.341) : 0.0608 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016034 PGS003141
(ExPRSweb_TC_30690-raw_PLINK_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.82 (0.339) : 0.0634 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016032 PGS003142
(ExPRSweb_TC_30690-raw_DBSLMM_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 8.8 (0.335) : 0.0643 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016035 PGS003143
(ExPRSweb_TC_30690-raw_PRSCS_MGI_20211120)
PSS010015|
European Ancestry|
9,115 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Total Cholesterol β: 9.33 (0.34) : 0.0691 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016180 PGS003341
(CVGRS_TC)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Total cholesterol β: 0.28536
PPM016197 PGS003341
(CVGRS_TC)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Type 2 diabetes OR: 0.98882
PPM016189 PGS003350
(ALLGRS_TC)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Total cholesterol β: 0.29361
PPM017290 PGS003481
(LDPred2_TC)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: 0.002 (0.01) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017313 PGS003481
(LDPred2_TC)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: -0.024 (0.025) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017507 PGS003495
(cont-decay-cholesterol)
PSS010830|
European Ancestry|
3,941 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.11 sex, age, deprivation index, PC1-16
PPM017675 PGS003495
(cont-decay-cholesterol)
PSS010578|
Greater Middle Eastern Ancestry|
1,097 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017759 PGS003495
(cont-decay-cholesterol)
PSS010242|
European Ancestry|
2,237 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM017843 PGS003495
(cont-decay-cholesterol)
PSS010494|
South Asian Ancestry|
5,947 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM017927 PGS003495
(cont-decay-cholesterol)
PSS010410|
East Asian Ancestry|
1,706 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.07 sex, age, deprivation index, PC1-16
PPM018011 PGS003495
(cont-decay-cholesterol)
PSS010326|
African Ancestry|
2,331 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.06 sex, age, deprivation index, PC1-16
PPM018095 PGS003495
(cont-decay-cholesterol)
PSS010746|
African Ancestry|
3,627 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.04 sex, age, deprivation index, PC1-16
PPM017423 PGS003495
(cont-decay-cholesterol)
PSS010914|
European Ancestry|
19,116 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.1 sex, age, deprivation index, PC1-16
PPM017591 PGS003495
(cont-decay-cholesterol)
PSS010662|
European Ancestry|
6,174 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Cholesterol partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM018625 PGS003818
(TC_EUR_CT)
PSS011049|
European Ancestry|
9,539 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.07254
PPM018626 PGS003819
(TC_EUR_LDpred2)
PSS011049|
European Ancestry|
9,539 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.0626
PPM018627 PGS003820
(TC_AFR_CT)
PSS011047|
African Ancestry|
4,302 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.07482
PPM018628 PGS003821
(TC_AFR_LDpred2)
PSS011047|
African Ancestry|
4,302 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.05914
PPM018629 PGS003822
(TC_AFR_weighted_LDpred2)
PSS011047|
African Ancestry|
4,302 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.07122
PPM018630 PGS003823
(TC_AFR_PRSCSx)
PSS011047|
African Ancestry|
4,302 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.08584
PPM018631 PGS003824
(TC_AFR_CTSLEB)
PSS011047|
African Ancestry|
4,302 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.10208
PPM018632 PGS003825
(TC_EAS_CT)
PSS011048|
East Asian Ancestry|
971 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.06332
PPM018633 PGS003826
(TC_EAS_LDpred2)
PSS011048|
East Asian Ancestry|
971 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.07017
PPM018634 PGS003827
(TC_EAS_weighted_LDpred2)
PSS011048|
East Asian Ancestry|
971 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.08867
PPM018635 PGS003828
(TC_EAS_PRSCSx)
PSS011048|
East Asian Ancestry|
971 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.05696
PPM018636 PGS003829
(TC_EAS_CTSLEB)
PSS011048|
East Asian Ancestry|
971 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.07409
PPM018637 PGS003830
(TC_SAS_CT)
PSS011050|
South Asian Ancestry|
5,153 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.01804
PPM018638 PGS003831
(TC_SAS_LDpred2)
PSS011050|
South Asian Ancestry|
5,153 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.02349
PPM018639 PGS003832
(TC_SAS_weighted_LDpred2)
PSS011050|
South Asian Ancestry|
5,153 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.03949
PPM018640 PGS003833
(TC_SAS_PRSCSx)
PSS011050|
South Asian Ancestry|
5,153 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.04777
PPM018641 PGS003834
(TC_SAS_CTSLEB)
PSS011050|
South Asian Ancestry|
5,153 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Total cholesterol : 0.04008
PPM018685 PGS003853
(PRS60_TC)
PSS011066|
East Asian Ancestry|
37,317 individuals
PGP000493 |
Li J et al. JAMA Netw Open (2023)
Reported Trait: Estimated annual change of total cholesterol p-value (inferior to): 0.001
PPM018689 PGS003853
(PRS60_TC)
PSS011068|
East Asian Ancestry|
15,664 individuals
PGP000493 |
Li J et al. JAMA Netw Open (2023)
Reported Trait: Estimated annual change of total cholesterol p-value (inferior to): 0.001
PPM018693 PGS003853
(PRS60_TC)
PSS011067|
East Asian Ancestry|
21,653 individuals
PGP000493 |
Li J et al. JAMA Netw Open (2023)
Reported Trait: Estimated annual change of total cholesterol p-value (inferior to): 0.001

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
PSS010914 19,116 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010662 6,174 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
European Italian UKB
PSS009165 3,952 individuals European Poland (NE Europe) UKB
PSS010052 461,918 individuals European, African unspecified, East Asian, South Asian UKB
PSS008271 6,001 individuals South Asian India (South Asia) UKB
PSS010410 1,706 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.8 years
East Asian Chinese UKB
PSS010055 22,608 individuals East Asian KBA, KoGES
PSS007126 6,097 individuals African unspecified UKB
PSS007127 1,616 individuals East Asian UKB
PSS007128 23,774 individuals European non-white British ancestry UKB
PSS007129 7,426 individuals South Asian UKB
PSS007130 64,473 individuals European white British ancestry UKB Testing cohort (heldout set)
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.
PSS008939 3,656 individuals African unspecified Nigeria (West Africa) UKB
PSS011047 4,302 individuals,
42.0 % Male samples
Mean = 51.82 years
Sd = 8.06 years
African American or Afro-Caribbean
(African American)
UKB
PSS011048 971 individuals,
32.0 % Male samples
Mean = 52.47 years
Sd = 7.81 years
East Asian UKB
PSS011049 9,539 individuals,
47.0 % Male samples
Mean = 56.86 years
Sd = 8.05 years
European UKB
PSS008048 1,717 individuals East Asian China (East Asia) UKB
PSS011050 5,153 individuals,
53.0 % Male samples
Mean = 53.37 years
Sd = 8.43 years
South Asian UKB
PSS010830 3,941 individuals,
38.0 % Male samples
Mean = 54.4 years
Sd = 7.5 years
European Polish 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
PSS010185 1,115 individuals,
41.1 % Male samples
Mean = 46.18 years Hispanic or Latin American HCHS, SOL
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
PSS010578 1,097 individuals,
60.0 % Male samples
Mean = 51.9 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS010326 2,331 individuals,
37.0 % Male samples
Mean = 52.5 years
Sd = 8.1 years
African American or Afro-Caribbean Caribbean 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
PSS010015 LOW DENSITY LIPOPROTEIN CHOL + HIGH DENSITY LIPOPROTEIN CHOL + Triglycerides/5; Quantitative 9,115 individuals European MGI
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
PSS008719 6,326 individuals European Italy (South Europe) 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
PSS011068 15,664 individuals,
41.98 % Male samples
Mean = 51.57 years
Sd = 10.87 years
East Asian InterASIA China MUCA, CIMIC
PSS007835 2,343 individuals African American or Afro-Caribbean Carribean UKB
PSS010746 3,627 individuals,
46.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS010494 5,947 individuals,
54.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS010242 2,237 individuals,
45.0 % Male samples
Mean = 58.1 years
Sd = 7.1 years
European Ashkenazi UKB
PSS008493 1,126 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009391 19,002 individuals European UK (+ Ireland) UKB
PSS000662 6,014 individuals African unspecified UKB
PSS000663 1,082 individuals East Asian UKB
PSS000664 23,581 individuals European Non-British White UKB
PSS000665 7,336 individuals South Asian UKB
PSS000666 63,794 individuals European
(British)
UKB
PSS009851 6,080 individuals African unspecified UKB
PSS009852 877 individuals East Asian UKB
PSS000797 2,129 individuals European Participants self-identifying as white MESA
PSS000798 2,004 individuals European Participants self-identifying as white MESA
PSS009854 7,655 individuals South Asian UKB
PSS009853 41,214 individuals European Non-British European UKB