Polygenic Score (PGS) ID: PGS003833

Predicted Trait
Reported Trait Total cholesterol
Mapped Trait(s) total cholesterol measurement (EFO_0004574)
Released in PGS Catalog: Sept. 1, 2023
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Terms and Licenses
PGS obtained from the Catalog should be cited appropriately, and used in accordance with any licensing restrictions set by the authors. See EBI Terms of Use (https://www.ebi.ac.uk/about/terms-of-use/) for additional details.

Score Details

Score Construction
PGS Name TC_SAS_PRSCSx
Development Method
Name PRS-CSx
Parameters gamma-gamma prior hyperparameters a and b to default values of 1 and 0.5, respectively. Parameter phi is varied over the default set of values 1E-06, 1E-04), 1E-02), and 1
Variants
Original Genome Build GRCh37
Number of Variants 1,155,228
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000489
Citation (link to publication) Zhang H et al. Nat Genet (2023)
Ancestry Distribution
Source of Variant
Associations (GWAS)
Multi-ancestry (including European): 100%
  • European
  • African
  • Hispanic or Latin American
  • East Asian
  • South Asian
1,251,910 individuals (100%)
Score Development/Training
South Asian: 100%
5,147 individuals (100%)
PGS Evaluation
South Asian: 100%
1 Sample Sets

Development Samples

Source of Variant Associations (GWAS)
Study Identifiers Sample Numbers Sample Ancestry Cohort(s)
Europe PMC: 34887591
 1,251,910 individuals European, African American or Afro-Caribbean, Hispanic or Latin American, East Asian, South Asian NR
Score Development/Training
Study Identifiers Sample Numbers Sample Ancestry Cohort(s) Phenotype Definitions & Methods Age of Study Participants Participant Follow-up Time Additional Ancestry Description Additional Sample/Cohort Information
— 5,147 individuals,
53.0 % Male samples
 South Asian UKB — Mean = 53.37 years
Sd = 8.43 years		 — — —

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) 		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
PPM018640 PSS011050|
South Asian Ancestry|
5,153 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Total cholesterol — — R²: 0.04777 — —

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
PSS011050 — — 5,153 individuals,
53.0 % Male samples
 Mean = 53.37 years
Sd = 8.43 years		 South Asian — UKB —