Predicted Trait | |
Reported Trait | LV stroke volume |
Mapped Trait(s) | left ventricular stroke volume measurement (EFO_0010555) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI22423 |
Score Construction | |
PGS Name | GBE_INI22423 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 26 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005320 | PSS004991| African Ancestry| 192 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.2894 [0.27082, 0.30798] Incremental R2 (full-covars): 0.00042 PGS R2 (no covariates): 2e-05 [-0.00021, 0.00026] |
age, sex, UKB array type, Genotype PCs | — |
PPM005321 | PSS004992| East Asian Ancestry| 110 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.24626 [0.21082, 0.28171] Incremental R2 (full-covars): 0.00076 PGS R2 (no covariates): 0.00073 [-0.00183, 0.00328] |
age, sex, UKB array type, Genotype PCs | — |
PPM005322 | PSS004993| European Ancestry| 1,708 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.27363 [0.26419, 0.28306] Incremental R2 (full-covars): -0.00044 PGS R2 (no covariates): 8e-05 [-0.00014, 0.00031] |
age, sex, UKB array type, Genotype PCs | — |
PPM005323 | PSS004994| South Asian Ancestry| 319 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.21177 [0.19571, 0.22783] Incremental R2 (full-covars): -0.00201 PGS R2 (no covariates): 0.00017 [-0.00041, 0.00074] |
age, sex, UKB array type, Genotype PCs | — |
PPM005324 | PSS004995| European Ancestry| 5,528 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: LV stroke volume | — | — | R²: 0.20777 [0.20231, 0.21322] Incremental R2 (full-covars): 0.00246 PGS R2 (no covariates): 0.00431 [0.00333, 0.0053] |
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 |
---|---|---|---|---|---|---|---|---|
PSS004991 | — | — | 192 individuals | — | African unspecified | — | UKB | — |
PSS004992 | — | — | 110 individuals | — | East Asian | — | UKB | — |
PSS004993 | — | — | 1,708 individuals | — | European | non-white British ancestry | UKB | — |
PSS004994 | — | — | 319 individuals | — | South Asian | — | UKB | — |
PSS004995 | — | — | 5,528 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |