Polygenic Score (PGS) ID: PGS004674

Predicted Trait
Reported Trait Total cholesterol
Mapped Trait(s) total cholesterol measurement (EFO_0004574)
Additional Trait Information Phenotype defined in GLGC. Please refer the paper for more details.
Released in PGS Catalog: April 18, 2024
Download Score FTP directory
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_EAS_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 1,728,954
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
1,251,910 individuals (100%)
Score Development/Training
East Asian: 100%
951 individuals (100%)
PGS Evaluation
East 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 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
— 951 individuals,
32.0 % Male samples
 East Asian UKB — Mean = 52.47 years
Sd = 7.81 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
PPM020859 PSS011425|
East Asian Ancestry|
971 individuals
 PGP000595 |
Zhang J et al. Nat Commun (2024)
 Reported Trait: Total cholesterol — — adjusted R2: 0.074 — —

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
PSS011425 — — 971 individuals,
32.0 % Male samples
 Mean = 52.47 years
Sd = 7.81 years		 East Asian — UKB —