| Predicted Trait | |
| Reported Trait | 3mm strong meridian (L) |
| Mapped Trait(s) | eye measurement (EFO_0004731) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI5135 |
| Score Construction | |
| PGS Name | GBE_INI5135 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 9,497 |
| 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% 63,875 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 |
|---|---|---|---|---|---|---|---|---|
| — | 63,875 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 |
|---|---|---|---|---|---|---|---|---|
| PPM007180 | PSS007431| African Ancestry| 3,105 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (L) | — | — | R²: 0.08579 [0.07278, 0.09881] Incremental R2 (full-covars): 0.00558 PGS R2 (no covariates): 0.014 [0.00833, 0.01967] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007181 | PSS007432| East Asian Ancestry| 573 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (L) | — | — | R²: 0.11668 [0.08808, 0.14527] Incremental R2 (full-covars): 0.05741 PGS R2 (no covariates): 0.07134 [0.04783, 0.09485] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007182 | PSS007433| European Ancestry| 7,529 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (L) | — | — | R²: 0.19283 [0.18403, 0.20164] Incremental R2 (full-covars): 0.13671 PGS R2 (no covariates): 0.13985 [0.13186, 0.14784] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007183 | PSS007434| South Asian Ancestry| 3,455 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (L) | — | — | R²: 0.17172 [0.15653, 0.18692] Incremental R2 (full-covars): 0.09777 PGS R2 (no covariates): 0.10232 [0.08961, 0.11503] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007184 | PSS007435| European Ancestry| 15,926 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: 3mm strong meridian (L) | — | — | R²: 0.20335 [0.19793, 0.20877] Incremental R2 (full-covars): 0.15243 PGS R2 (no covariates): 0.15093 [0.14595, 0.15591] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS007431 | — | — | 3,105 individuals | — | African unspecified | — | UKB | — |
| PSS007432 | — | — | 573 individuals | — | East Asian | — | UKB | — |
| PSS007433 | — | — | 7,529 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007434 | — | — | 3,455 individuals | — | South Asian | — | UKB | — |
| PSS007435 | — | — | 15,926 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |