| Predicted Trait | |
| Reported Trait | Mean ICVF in middle cerebellar peduncle on FA skeleton |
| Mapped Trait(s) | |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25344 |
| Score Construction | |
| PGS Name | GBE_INI25344 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 1,580 |
| 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% 21,080 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 |
|---|---|---|---|---|---|---|---|---|
| — | 21,080 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 |
|---|---|---|---|---|---|---|---|---|
| PPM005670 | PSS005506| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.14989 [0.1339, 0.16589] Incremental R2 (full-covars): -0.01701 PGS R2 (no covariates): 0.00101 [-0.00053, 0.00255] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005671 | PSS005507| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.13217 [0.10227, 0.16207] Incremental R2 (full-covars): 0.02574 PGS R2 (no covariates): 0.02933 [0.01358, 0.04509] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005672 | PSS005508| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.11373 [0.10631, 0.12115] Incremental R2 (full-covars): 0.04606 PGS R2 (no covariates): 0.04072 [0.03591, 0.04552] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005673 | PSS005509| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.08651 [0.07462, 0.09841] Incremental R2 (full-covars): 0.02125 PGS R2 (no covariates): 0.0189 [0.01293, 0.02487] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005674 | PSS005510| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in middle cerebellar peduncle on FA skeleton | — | — | R²: 0.06458 [0.06099, 0.06817] Incremental R2 (full-covars): 0.03331 PGS R2 (no covariates): 0.03292 [0.03027, 0.03557] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS005506 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
| PSS005507 | — | — | 106 individuals | — | East Asian | — | UKB | — |
| PSS005508 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
| PSS005509 | — | — | 299 individuals | — | South Asian | — | UKB | — |
| PSS005510 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |