Predicted Trait | |
Reported Trait | Abdominal aortic aneurysm |
Mapped Trait(s) | Abdominal Aortic Aneurysm (EFO_0004214) |
Score Construction | |
PGS Name | 1kgeur_gbmi_leaveUKBBout_AAA_pst_eff_a1_b0.5_phiauto |
Development Method | |
Name | PRS-CS-auto |
Parameters | effective sample size and other defualt parameters |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 911,440 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000262 |
Citation (link to publication) | Wang Y et al. Cell Genom (2023) |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
— | [
|
African unspecified | BioMe |
— | [
|
Native American | BioMe |
— | [
|
East Asian | BBJ |
— | [
|
European | 9 cohorts
|
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 |
---|---|---|---|---|---|---|---|---|
PPM009288 | PSS007707| European Ancestry| 350,767 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Abdominal aortic aneurysm | — | AUROC: 0.868 | Nagelkerke's R2 (covariates regressed out): 0.01466 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS007707 | — | — | [
|
— | European | — | UKB | — |