| Predicted Trait | |
| Reported Trait | Hair color, red |
| Mapped Trait(s) | strand of hair color (OBA_0002313) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/BIN_FC2001747 |
| Score Construction | |
| PGS Name | GBE_BIN_FC2001747 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,621 |
| 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% 269,201 individuals (100%) |
| PGS Evaluation | European: 66.7% African: 33.3% 3 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 |
|---|---|---|---|---|---|---|---|---|
| — | [
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM008231 | PSS003840| African Ancestry| 6,395 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hair colour (natural, before greying) red | — | AUROC: 0.66297 [0.41942, 0.90653] | R²: 0.03161 Incremental AUROC (full-covars): -0.14372 PGS R2 (no covariates): 0.01304 PGS AUROC (no covariates): 0.33718 [0.05268, 0.62169] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008232 | PSS003841| European Ancestry| 24,865 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hair colour (natural, before greying) red | — | AUROC: 0.95374 [0.94735, 0.96013] | R²: 0.57916 Incremental AUROC (full-covars): 0.27252 PGS R2 (no covariates): 0.58427 PGS AUROC (no covariates): 0.95332 [0.94681, 0.95982] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008233 | PSS003843| European Ancestry| 67,286 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hair colour (natural, before greying) red | — | AUROC: 0.96093 [0.95755, 0.96431] | R²: 0.60335 Incremental AUROC (full-covars): 0.3903 PGS R2 (no covariates): 0.60185 PGS AUROC (no covariates): 0.96068 [0.95728, 0.96408] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS003840 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003841 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003843 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |