Predicted Trait | |
Reported Trait | Left leg mass (predicted) |
Mapped Trait(s) | body composition measurement (EFO_0005106) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23118 |
Score Construction | |
PGS Name | GBE_INI23118 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 30,421 |
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% 265,129 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 |
---|---|---|---|---|---|---|---|---|
— | 265,129 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 |
---|---|---|---|---|---|---|---|---|
PPM008512 | PSS005116| African Ancestry| 6,303 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.54551 [0.52919, 0.56183] Incremental R2 (full-covars): 0.0082 PGS R2 (no covariates): 0.01474 [0.00892, 0.02055] |
age, sex, UKB array type, Genotype PCs | — |
PPM008513 | PSS005117| East Asian Ancestry| 1,679 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | Incremental R2 (full-covars): 0.00295 R²: 0.73419 [0.71261, 0.75577] PGS R2 (no covariates): 0.01537 [0.0038, 0.02694] |
age, sex, UKB array type, Genotype PCs | — |
PPM008514 | PSS005118| European Ancestry| 24,460 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.70945 [0.70337, 0.71553] Incremental R2 (full-covars): 0.04284 PGS R2 (no covariates): 0.04473 [0.03971, 0.04975] |
age, sex, UKB array type, Genotype PCs | — |
PPM008515 | PSS005119| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.66073 [0.64852, 0.67294] Incremental R2 (full-covars): 0.03274 PGS R2 (no covariates): 0.02543 [0.01855, 0.03231] |
age, sex, UKB array type, Genotype PCs | — |
PPM008516 | PSS005120| European Ancestry| 66,253 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Leg pred. mass (L) | — | — | R²: 0.7033 [0.69954, 0.70705] Incremental R2 (full-covars): 0.0494 PGS R2 (no covariates): 0.04898 [0.0458, 0.05216] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005116 | — | — | 6,303 individuals | — | African unspecified | — | UKB | — |
PSS005117 | — | — | 1,679 individuals | — | East Asian | — | UKB | — |
PSS005118 | — | — | 24,460 individuals | — | European | non-white British ancestry | UKB | — |
PSS005119 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
PSS005120 | — | — | 66,253 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |