Polygenic Score (PGS) ID: PGS003816

Predicted Trait
Reported Trait Log triglycerides
Mapped Trait(s) triglyceride measurement (EFO_0004530)
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 logTG_SAS_PRSCSx
Development Method
Name PRSCSx
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 1,155,382
Effect Weight Type beta
PGS Source
PGS Catalog Publication (PGP) ID PGP000489
Citation (link to publication) Zhang HZ et al. bioRxiv (2023) Preprint
Ancestry Distribution
Source of Variant
Associations (GWAS)
Multi-ancestry (including European): 100%
  • European
  • African
  • Hispanic or Latin American
  • East Asian
  • South Asian
1,121,278 individuals (100%)
Score Development/Training
South Asian: 100%
5,145 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
1,121,278 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
5,145 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
PPM018623 PSS011054|
South Asian Ancestry|
5,143 individuals
PGP000489 |
Zhang HZ et al. bioRxiv (2023)
|Pre
Reported Trait: Log triglycerides : 0.1212

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
PSS011054 5,143 individuals,
53.0 % Male samples
Mean = 53.37 years
Sd = 8.43 years
South Asian UKB