| Predicted Trait | |
| Reported Trait | 3mm strong meridian (R) |
| Mapped Trait(s) | eye measurement (EFO_0004731) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI5132 |
| Score Construction | |
| PGS Name | GBE_INI5132 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 10,082 |
| 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% 63,859 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 |
|---|---|---|---|---|---|---|---|---|
| — | 63,859 individuals | European | UKB | — | — | — | white British ancestry | Training + validation cohort (train_val) |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PPM007165 | PSS007416| African Ancestry| 3,083 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (R) | — | — | R²: 0.09618 [0.08255, 0.1098] Incremental R2 (full-covars): 0.01765 PGS R2 (no covariates): 0.02408 [0.01672, 0.03144] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007166 | PSS007417| East Asian Ancestry| 561 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (R) | — | — | R²: 0.13087 [0.10107, 0.16067] Incremental R2 (full-covars): 0.08472 PGS R2 (no covariates): 0.09914 [0.07226, 0.12602] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007167 | PSS007418| European Ancestry| 7,490 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (R) | — | — | R²: 0.19721 [0.18836, 0.20607] Incremental R2 (full-covars): 0.14384 PGS R2 (no covariates): 0.14672 [0.13861, 0.15484] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007168 | PSS007419| South Asian Ancestry| 3,448 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (R) | — | — | R²: 0.17296 [0.15773, 0.18819] Incremental R2 (full-covars): 0.10013 PGS R2 (no covariates): 0.1028 [0.09007, 0.11554] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007169 | PSS007420| European Ancestry| 15,963 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (R) | — | — | R²: 0.20775 [0.2023, 0.2132] Incremental R2 (full-covars): 0.15925 PGS R2 (no covariates): 0.15761 [0.15256, 0.16266] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS007420 | — | — | 15,963 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007416 | — | — | 3,083 individuals | — | African unspecified | — | UKB | — |
| PSS007417 | — | — | 561 individuals | — | East Asian | — | UKB | — |
| PSS007418 | — | — | 7,490 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007419 | — | — | 3,448 individuals | — | South Asian | — | UKB | — |