Polygenic Score (PGS) ID: PGS003783

Predicted Trait
Reported Trait HDL cholesterol
Mapped Trait(s) high density lipoprotein cholesterol measurement (EFO_0004612)
Released in PGS Catalog: Sept. 1, 2023
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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 HDL_SAS_CTSLEB
Development Method
Name CTSLEB
Parameters w_b= (50kb, 100kb), , clumping r2=(0.01, 0.05, 0.1, 0.2, 0.5, 0.8) , clumping window size = w_b/r2, p-value threshold = c(5E-08,5E-07,...,0.5,1), super leaner method was set to be glmnet and ridge to obtain linear weight
Variants
Original Genome Build GRCh37
Number of Variants 771,693
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
1,179,560 individuals (100%)
Score Development/Training
South Asian: 100%
4,683 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
1,179,560 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
4,683 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
PPM018590 PSS011040|
South Asian Ancestry|
4,702 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: High-density lipoprotein cholesterol : 0.14886

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
PSS011040 4,702 individuals,
53.0 % Male samples
Mean = 53.37 years
Sd = 8.43 years
South Asian UKB