| Predicted Trait | |
| Reported Trait | Whole body water mass |
| Mapped Trait(s) | whole body water mass (EFO_0009805) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI23102 |
| Score Construction | |
| PGS Name | GBE_INI23102 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 35,046 |
| 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% 265,179 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 |
|---|---|---|---|---|---|---|---|---|
| — | 265,179 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 |
|---|---|---|---|---|---|---|---|---|
| PPM007773 | PSS005051| African Ancestry| 6,305 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.59835 [0.58325, 0.61345] Incremental R2 (full-covars): 0.01006 PGS R2 (no covariates): 0.01762 [0.01128, 0.02396] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007774 | PSS005052| East Asian Ancestry| 1,680 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.74997 [0.72945, 0.77049] Incremental R2 (full-covars): 0.00739 PGS R2 (no covariates): 0.0184 [0.00578, 0.03102] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007775 | PSS005053| European Ancestry| 24,466 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.75696 [0.7517, 0.76221] Incremental R2 (full-covars): 0.04635 PGS R2 (no covariates): 0.04558 [0.04052, 0.05064] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007776 | PSS005054| South Asian Ancestry| 7,649 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.6942 [0.68292, 0.70548] Incremental R2 (full-covars): 0.03631 PGS R2 (no covariates): 0.02751 [0.02037, 0.03465] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007777 | PSS005055| European Ancestry| 66,264 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Whole body water mass | — | — | R²: 0.75779 [0.75461, 0.76097] Incremental R2 (full-covars): 0.05245 PGS R2 (no covariates): 0.05076 [0.04753, 0.05399] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS005052 | — | — | 1,680 individuals | — | East Asian | — | UKB | — |
| PSS005053 | — | — | 24,466 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005054 | — | — | 7,649 individuals | — | South Asian | — | UKB | — |
| PSS005055 | — | — | 66,264 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS005051 | — | — | 6,305 individuals | — | African unspecified | — | UKB | — |