Predicted Trait | |
Reported Trait | Platelet distribution width |
Mapped Trait(s) | platelet component distribution width (EFO_0007984) |
Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30110 |
Score Construction | |
PGS Name | GBE_INI30110 |
Development Method | |
Name | snpnet |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 18,814 |
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% 262,210 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 |
---|---|---|---|---|---|---|---|---|
— | 262,210 individuals | European | UKB | — | — | — | white British ancestry | — |
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 |
---|---|---|---|---|---|---|---|---|
PPM008153 | PSS006961| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Platelet distribution width | — | — | R²: 0.08809 [0.07494, 0.10125] Incremental R2 (full-covars): 0.05017 PGS R2 (no covariates): 0.05279 [0.04222, 0.06337] |
age, sex, UKB array type, Genotype PCs | — |
PPM008154 | PSS006962| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Platelet distribution width | — | — | R²: 0.1275 [0.09798, 0.15703] Incremental R2 (full-covars): 0.09522 PGS R2 (no covariates): 0.09877 [0.07193, 0.12561] |
age, sex, UKB array type, Genotype PCs | — |
PPM008155 | PSS006963| European Ancestry| 24,171 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Platelet distribution width | — | — | R²: 0.2279 [0.21875, 0.23705] Incremental R2 (full-covars): 0.20117 PGS R2 (no covariates): 0.2053 [0.19636, 0.21424] |
age, sex, UKB array type, Genotype PCs | — |
PPM008156 | PSS006964| South Asian Ancestry| 7,519 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Platelet distribution width | — | — | R²: 0.18488 [0.16936, 0.2004] Incremental R2 (full-covars): 0.16662 PGS R2 (no covariates): 0.16657 [0.15151, 0.18163] |
age, sex, UKB array type, Genotype PCs | — |
PPM008157 | PSS006965| European Ancestry| 65,601 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Platelet distribution width | — | — | R²: 0.22746 [0.2219, 0.23302] Incremental R2 (full-covars): 0.20559 PGS R2 (no covariates): 0.20528 [0.19985, 0.21072] |
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 |
---|---|---|---|---|---|---|---|---|
PSS006961 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
PSS006962 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
PSS006963 | — | — | 24,171 individuals | — | European | non-white British ancestry | UKB | — |
PSS006964 | — | — | 7,519 individuals | — | South Asian | — | UKB | — |
PSS006965 | — | — | 65,601 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |