Polygenic Score (PGS) ID: PGS004649

Predicted Trait
Reported Trait LDL cholesterol
Mapped Trait(s) low density lipoprotein cholesterol measurement (EFO_0004611)
Additional Trait Information Phenotype defined in GLGC. Please refer the paper for more details.
Released in PGS Catalog: April 18, 2024
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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 LDL_SAS_PROSPER
Development Method
Name PROSPER
Parameters Default parameter setting in PROSPER package from GitHub (https://github.com/Jingning-Zhang/PROSPER) -- Ll =5, Lc=5.
Variants
Original Genome Build GRCh37
Number of Variants 1,794,429
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000595
Citation (link to publication) Zhang J et al. Nat Commun (2024)
Ancestry Distribution
Source of Variant
Associations (GWAS)
Multi-ancestry (including European): 100%
  • European
  • African
  • Hispanic or Latin American
  • East Asian
  • South Asian
1,092,705 individuals (100%)
Score Development/Training
South Asian: 100%
5,139 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
 1,092,705 individuals European, African American or Afro-Caribbean, Hispanic or Latin American, East Asian, South Asian GLGC
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
— 5,139 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
PPM020834 PSS011428|
South Asian Ancestry|
5,137 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: LDL cholesterol — — adjusted R2: 0.0561 — —

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
PSS011428 — — 5,137 individuals,
53.0 % Male samples
 Mean = 53.37 years
Sd = 8.43 years		 South Asian — UKB —