| 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 | — |