Predicted Trait | |
Reported Trait | Vitamin D |
Mapped Trait(s) | vitamin D measurement (EFO_0004631) |
Score Construction | |
PGS Name | biochemistry_VitaminD.PolyFun-pred |
Development Method | |
Name | PolyFun-pred |
Parameters | NR |
Variants | |
Original Genome Build | GRCh37 |
Number of Variants | 330,506 |
Effect Weight Type | beta |
PGS Source | |
PGS Catalog Publication (PGP) ID | PGP000332 |
Citation (link to publication) | Weissbrod O et al. Nat Genet (2022) |
Ancestry Distribution | |
Source of Variant Associations (GWAS) | European: 100% 307,287 individuals (100%) |
PGS Evaluation | African: 25% East Asian: 25% European: 25% South Asian: 25% 4 Sample Sets |
Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
---|---|---|---|
— | 307,287 individuals | European | UKB |
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 |
---|---|---|---|---|---|---|---|---|
PPM014388 | PSS009863| African Ancestry| 5,876 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Vitamin D | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0073 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_VitaminD.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014437 | PSS009864| East Asian Ancestry| 855 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Vitamin D | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0049 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_VitaminD.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014486 | PSS009865| European Ancestry| 39,443 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Vitamin D | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0591 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_VitaminD.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
PPM014535 | PSS009866| South Asian Ancestry| 6,746 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Vitamin D | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0134 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See biochemistry_VitaminD.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
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 |
---|---|---|---|---|---|---|---|---|
PSS009863 | — | — | 5,876 individuals | — | African unspecified | — | UKB | — |
PSS009864 | — | — | 855 individuals | — | East Asian | — | UKB | — |
PSS009865 | — | — | 39,443 individuals | — | European | Non-British European | UKB | — |
PSS009866 | — | — | 6,746 individuals | — | South Asian | — | UKB | — |