Predicted Trait | |
Reported Trait | LDL cholesterol |
Mapped Trait(s) | low density lipoprotein cholesterol measurement (EFO_0004611) |
Score Construction | |
PGS Name | LDL-PRS |
Development Method | |
Name | Genome-wide significant variants |
Parameters | p<5E-08 |
Variants | |
Original Genome Build | NR |
Number of Variants | 279 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000303 |
Citation (link to publication) | Groenland EH et al. Atherosclerosis (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 237,050 individuals (100%) |
PGS Evaluation | European: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST009147 Europe PMC: 29083408 |
237,050 individuals | European | NR |
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 |
---|---|---|---|---|---|---|---|---|
PPM012944 | PSS009627| European Ancestry| 4,416 individuals |
PGP000303 | Groenland EH et al. Atherosclerosis (2022) |
Reported Trait: Low-density lipoprotein cholesterol | β: 0.18 [0.15, 0.21] | — | — | Age, sex, the first 5 principal components, BMI, T2DM, smoking, alcohol use, systolic blood pressure, eGFR, triglycerides, lipid-lowering medication | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009627 | — | — | 4,416 individuals, 75.0 % Male samples |
European | — | UCC-SMART | UCC-SMART |