Predicted Trait | |
Reported Trait | Trunk mass (predicted) |
Mapped Trait(s) | body composition measurement (EFO_0005106) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23130 |
Score Construction | |
PGS Name | GBE_INI23130 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 32,685 |
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% 264,932 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 |
---|---|---|---|---|---|---|---|---|
— | 264,932 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 |
---|---|---|---|---|---|---|---|---|
PPM008522 | PSS005176| African Ancestry| 6,298 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.60813 [0.59327, 0.62298] Incremental R2 (full-covars): 0.01103 PGS R2 (no covariates): 0.01817 [0.01174, 0.0246] |
age, sex, UKB array type, Genotype PCs | — |
PPM008523 | PSS005177| East Asian Ancestry| 1,677 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.74648 [0.72572, 0.76724] Incremental R2 (full-covars): 0.01277 PGS R2 (no covariates): 0.02185 [0.00815, 0.03555] |
age, sex, UKB array type, Genotype PCs | — |
PPM008524 | PSS005178| European Ancestry| 24,444 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.76821 [0.76317, 0.77326] Incremental R2 (full-covars): 0.04598 PGS R2 (no covariates): 0.04582 [0.04074, 0.05089] |
age, sex, UKB array type, Genotype PCs | — |
PPM008525 | PSS005179| South Asian Ancestry| 7,642 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.69886 [0.68771, 0.71] Incremental R2 (full-covars): 0.03651 PGS R2 (no covariates): 0.03063 [0.02312, 0.03815] |
age, sex, UKB array type, Genotype PCs | — |
PPM008526 | PSS005180| European Ancestry| 66,204 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Trunk pred. mass | — | — | R²: 0.7731 [0.77009, 0.77611] Incremental R2 (full-covars): 0.05059 PGS R2 (no covariates): 0.05155 [0.0483, 0.0548] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005180 | — | — | 66,204 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
PSS005176 | — | — | 6,298 individuals | — | African unspecified | — | UKB | — |
PSS005177 | — | — | 1,677 individuals | — | East Asian | — | UKB | — |
PSS005178 | — | — | 24,444 individuals | — | European | non-white British ancestry | UKB | — |
PSS005179 | — | — | 7,642 individuals | — | South Asian | — | UKB | — |