Predicted Trait | |
Reported Trait | LV ejection fraction |
Mapped Trait(s) | left ventricular ejection fraction measurement (EFO_0008373) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI22420 |
Score Construction | |
PGS Name | GBE_INI22420 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 266 |
Effect Weight Type | NR |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000244 |
Citation (link to publication) | Tanigawa Y et al. PLoS Genet (2022) |
Ancestry Distribution | |
Score Development/Training | European: 100% 22,239 individuals (100%) |
PGS Evaluation | European: 40% African: 20% East Asian: 20% South Asian: 20% 5 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) | Phenotype Definitions & Methods | Age of Study Participants | Participant Follow-up Time | Additional Ancestry Description | Additional Sample/Cohort Information |
---|---|---|---|---|---|---|---|---|
— | 22,239 individuals | European | UKB | — | — | — | white British ancestry | Training + validation cohort (train_val) |
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 |
---|---|---|---|---|---|---|---|---|
PPM005316 | PSS004987| East Asian Ancestry| 110 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.21638 [0.18183, 0.25092] Incremental R2 (full-covars): 0.00243 PGS R2 (no covariates): 0.0051 [-0.00163, 0.01183] |
age, sex, UKB array type, Genotype PCs | — |
PPM005317 | PSS004988| European Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.07182 [0.06564, 0.07799] Incremental R2 (full-covars): 0.0014 PGS R2 (no covariates): 0.00189 [0.00081, 0.00297] |
age, sex, UKB array type, Genotype PCs | — |
PPM005315 | PSS004986| African Ancestry| 192 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.07902 [0.06643, 0.0916] Incremental R2 (full-covars): 0.0065 PGS R2 (no covariates): 0.00921 [0.00459, 0.01383] |
age, sex, UKB array type, Genotype PCs | — |
PPM005318 | PSS004989| South Asian Ancestry| 319 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.06719 [0.05648, 0.07789] Incremental R2 (full-covars): 0.00348 PGS R2 (no covariates): 0.00252 [0.00031, 0.00474] |
age, sex, UKB array type, Genotype PCs | — |
PPM005319 | PSS004990| European Ancestry| 5,528 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV ejection fraction | — | — | R²: 0.04862 [0.04545, 0.05179] Incremental R2 (full-covars): 0.00384 PGS R2 (no covariates): 0.00375 [0.00283, 0.00468] |
age, sex, UKB array type, Genotype PCs | — |
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 |
---|---|---|---|---|---|---|---|---|
PSS004988 | — | — | 1,708 individuals | — | European | non-white British ancestry | UKB | — |
PSS004989 | — | — | 319 individuals | — | South Asian | — | UKB | — |
PSS004990 | — | — | 5,528 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS004986 | — | — | 192 individuals | — | African unspecified | — | UKB | — |
PSS004987 | — | — | 110 individuals | — | East Asian | — | UKB | — |