| Predicted Trait | |
| Reported Trait | WA MD in tract uncinate fasciculus (R) |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25541 |
| Score Construction | |
| PGS Name | GBE_INI25541 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,033 |
| 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% 21,081 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 |
|---|---|---|---|---|---|---|---|---|
| — | 21,081 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 |
|---|---|---|---|---|---|---|---|---|
| PPM006115 | PSS005951| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.12822 [0.11304, 0.14339] Incremental R2 (full-covars): -0.0021 PGS R2 (no covariates): 0.0005 [-0.00059, 0.0016] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006116 | PSS005952| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.28653 [0.25034, 0.32272] Incremental R2 (full-covars): 0.03059 PGS R2 (no covariates): 0.02101 [0.00756, 0.03446] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006117 | PSS005953| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.17036 [0.16186, 0.17887] Incremental R2 (full-covars): 0.01904 PGS R2 (no covariates): 0.01833 [0.01503, 0.02163] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006118 | PSS005954| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.23586 [0.21943, 0.25229] Incremental R2 (full-covars): 0.00087 PGS R2 (no covariates): 0.01178 [0.00703, 0.01653] |
age, sex, UKB array type, Genotype PCs | — |
| PPM006119 | PSS005955| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: WA MD in tract uncinate fasciculus (R) | — | — | R²: 0.12749 [0.12279, 0.13219] Incremental R2 (full-covars): 0.01304 PGS R2 (no covariates): 0.01264 [0.01096, 0.01432] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS005951 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005952 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005953 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005954 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005955 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |