Predicted Trait | |
Reported Trait | Lipoprotein A levels |
Mapped Trait(s) | lipoprotein A measurement (EFO_0006925) |
Score Construction | |
PGS Name | GRS48_lpa |
Development Method | |
Name | Genome-wide significant variants |
Parameters | joint model after stepwise conditional analysis |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 48 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000327 |
Citation (link to publication) | Coassin S et al. Circ Genom Precis Med (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 13,781 individuals (100%) |
PGS Evaluation | Not Reported: 100% 1 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
GWAS Catalog: GCST004398 Europe PMC: 28512139 |
13,781 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 |
---|---|---|---|---|---|---|---|---|
PPM013026 | PSS009655| Ancestry Not Reported| 22 individuals |
PGP000327 | Coassin S et al. Circ Genom Precis Med (2022) |
Reported Trait: Lipoprotein (a) levels | — | — | R²: 0.53 | — | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS009655 | — | — | 22 individuals, 50.0 % Male samples |
— | Not reported | — | NR | — |