Predicted Trait | |
Reported Trait | Number of falls in the last year |
Mapped Trait(s) | fall (EFO_0009631) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/QT_FC1002296 |
Score Construction | |
PGS Name | GBE_QT_FC1002296 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 2,103 |
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% 269,274 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 |
---|---|---|---|---|---|---|---|---|
— | 269,274 individuals | European | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM007823 | PSS007596| African Ancestry| 6,336 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Falls in the last year | — | — | Incremental R2 (full-covars): -0.00094 R²: 0.01681 [0.01062, 0.02301] PGS R2 (no covariates): 3e-05 [-0.00022, 0.00027] |
age, sex, UKB array type, Genotype PCs | — |
PPM007824 | PSS007597| East Asian Ancestry| 1,629 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Falls in the last year | — | — | R²: 0.0157 [0.00401, 0.02739] Incremental R2 (full-covars): -0.00264 PGS R2 (no covariates): 0.00011 [-0.00088, 0.00109] |
age, sex, UKB array type, Genotype PCs | — |
PPM007825 | PSS007598| European Ancestry| 24,790 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Falls in the last year | — | — | R²: 0.0119 [0.00923, 0.01458] Incremental R2 (full-covars): 0.00165 PGS R2 (no covariates): 0.00166 [0.00065, 0.00267] |
age, sex, UKB array type, Genotype PCs | — |
PPM007826 | PSS007599| South Asian Ancestry| 7,443 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Falls in the last year | — | — | R²: 0.01243 [0.00756, 0.01731] Incremental R2 (full-covars): -0.00079 PGS R2 (no covariates): 0.00021 [-0.00043, 0.00084] |
age, sex, UKB array type, Genotype PCs | — |
PPM007827 | PSS007600| European Ancestry| 67,306 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Falls in the last year | — | — | R²: 0.01122 [0.00964, 0.0128] Incremental R2 (full-covars): 0.00106 PGS R2 (no covariates): 0.00126 [0.00073, 0.0018] |
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 |
---|---|---|---|---|---|---|---|---|
PSS007596 | — | — | 6,336 individuals | — | African unspecified | — | UKB | — |
PSS007597 | — | — | 1,629 individuals | — | East Asian | — | UKB | — |
PSS007598 | — | — | 24,790 individuals | — | European | non-white British ancestry | UKB | — |
PSS007599 | — | — | 7,443 individuals | — | South Asian | — | UKB | — |
PSS007600 | — | — | 67,306 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |