Unknown

Dataset Information

Leveraging Multi-ethnic Evidence for Risk Assessment of Quantitative Traits in Minority Populations.


ABSTRACT: An essential component of precision medicine is the ability to predict an individual's risk of disease based on genetic and non-genetic factors. For complex traits and diseases, assessing the risk due to genetic factors is challenging because it requires knowledge of both the identity of variants that influence the trait and their corresponding allelic effects. Although the set of risk variants and their allelic effects may vary between populations, a large proportion of these variants were identified based on studies in populations of European descent. Heterogeneity in genetic architecture underlying complex traits and diseases, while broadly acknowledged, remains poorly characterized. Ignoring such heterogeneity likely reduces predictive accuracy for minority individuals. In this study,

SUBMITTER: Coram MA 

PROVIDER: S-EPMC5544393 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature