Predicted Trait | |
Reported Trait | Mean ICVF in fornix on FA skeleton |
Mapped Trait(s) | |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI25349 |
Score Construction | |
PGS Name | GBE_INI25349 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 188 |
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 |
---|---|---|---|---|---|---|---|---|
PPM005685 | PSS005521| African Ancestry| 182 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.10875 [0.09446, 0.12304] Incremental R2 (full-covars): -0.00305 PGS R2 (no covariates): 0.00011 [-0.0004, 0.00063] |
age, sex, UKB array type, Genotype PCs | — |
PPM005686 | PSS005522| East Asian Ancestry| 106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.07272 [0.04902, 0.09641] Incremental R2 (full-covars): -0.00139 PGS R2 (no covariates): 0.00024 [-0.00123, 0.00172] |
age, sex, UKB array type, Genotype PCs | — |
PPM005687 | PSS005523| European Ancestry| 1,651 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.06811 [0.06207, 0.07415] Incremental R2 (full-covars): 0.00582 PGS R2 (no covariates): 0.00481 [0.0031, 0.00653] |
age, sex, UKB array type, Genotype PCs | — |
PPM005688 | PSS005524| South Asian Ancestry| 299 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.14317 [0.12882, 0.15753] Incremental R2 (full-covars): 0.00998 PGS R2 (no covariates): 0.01486 [0.00954, 0.02018] |
age, sex, UKB array type, Genotype PCs | — |
PPM005689 | PSS005525| European Ancestry| 5,120 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean ICVF in fornix on FA skeleton | — | — | R²: 0.04937 [0.04618, 0.05255] Incremental R2 (full-covars): 0.00787 PGS R2 (no covariates): 0.0081 [0.00675, 0.00944] |
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 |
---|---|---|---|---|---|---|---|---|
PSS005521 | — | — | 182 individuals | — | African unspecified | — | UKB | — |
PSS005522 | — | — | 106 individuals | — | East Asian | — | UKB | — |
PSS005523 | — | — | 1,651 individuals | — | European | non-white British ancestry | UKB | — |
PSS005524 | — | — | 299 individuals | — | South Asian | — | UKB | — |
PSS005525 | — | — | 5,120 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |