| Predicted Trait | |
| Reported Trait | Abdominal aortic aneurysm |
| Mapped Trait(s) | Abdominal Aortic Aneurysm (EFO_0004214) |
| Score Construction | |
| PGS Name | PRSAAA_woUKB |
| Development Method | |
| Name | PRS-CS |
| Parameters | NR |
| Variants | |
| Original Genome Build | NR |
| Number of Variants | 1,118,997 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000513 |
| Citation (link to publication) | Roychowdhury T et al. Nat Genet (2023) |
| Ancestry Distribution | |
| Source of Variant Associations (GWAS) | European: 91.9% African: 8.1% 1,117,811 individuals (100%) |
| PGS Evaluation | European: 100% 1 Sample Sets |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
| — | [
|
European | 11 cohorts
|
| — | [
|
African unspecified | MVP, eMERGE |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM019137 | PSS011200| European Ancestry| 7,517 individuals |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Reported Trait: Abdominal aortic aneurysm | — | C-index: 0.882 [0.872, 0.892] | — | Age, Age^2, Sex | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS011200 | — | — | [
|
— | European | — | UKB | — |