| Predicted Trait | |
| Reported Trait | Mean platelet volume |
| Mapped Trait(s) | platelet volume (OBA_0003277) |
| Additional Trait Information | https://biobankengine.stanford.edu/RIVAS_HG19/snpnet/INI30100 |
| Score Construction | |
| PGS Name | GBE_INI30100 |
| Development Method | |
| Name | snpnet |
| Parameters | NR |
| Variants | |
| Original Genome Build | GRCh37 |
| Number of Variants | 24,114 |
| 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% 262,322 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 |
|---|---|---|---|---|---|---|---|---|
| — | 262,322 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 |
|---|---|---|---|---|---|---|---|---|
| PPM008619 | PSS006956| African Ancestry| 6,139 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean platelet volume | — | — | R²: 0.11523 [0.10064, 0.12983] Incremental R2 (full-covars): 0.10713 PGS R2 (no covariates): 0.10764 [0.09341, 0.12187] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008620 | PSS006957| East Asian Ancestry| 1,655 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean platelet volume | — | — | R²: 0.22982 [0.19483, 0.26481] Incremental R2 (full-covars): 0.1912 PGS R2 (no covariates): 0.20572 [0.17158, 0.23986] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008621 | PSS006958| European Ancestry| 24,175 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean platelet volume | — | — | R²: 0.36048 [0.35094, 0.37001] Incremental R2 (full-covars): 0.35332 PGS R2 (no covariates): 0.3577 [0.34816, 0.36724] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008622 | PSS006959| South Asian Ancestry| 7,520 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean platelet volume | — | — | R²: 0.26489 [0.24813, 0.28164] Incremental R2 (full-covars): 0.25606 PGS R2 (no covariates): 0.25974 [0.24303, 0.27644] |
age, sex, UKB array type, Genotype PCs | — |
| PPM008623 | PSS006960| European Ancestry| 65,636 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Mean platelet volume | — | — | R²: 0.36177 [0.35598, 0.36757] Incremental R2 (full-covars): 0.35994 PGS R2 (no covariates): 0.36024 [0.35444, 0.36603] |
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 |
|---|---|---|---|---|---|---|---|---|
| PSS006956 | — | — | 6,139 individuals | — | African unspecified | — | UKB | — |
| PSS006957 | — | — | 1,655 individuals | — | East Asian | — | UKB | — |
| PSS006958 | — | — | 24,175 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006959 | — | — | 7,520 individuals | — | South Asian | — | UKB | — |
| PSS006960 | — | — | 65,636 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |