Improving genetic risk prediction by leveraging pleiotropy.

ABSTRACT: An important task of human genetics studies is to predict accurately disease risks in individuals based on genetic markers, which allows for identifying individuals at high disease risks, and facilitating their disease treatment and prevention. Although hundreds of genome-wide association studies (GWAS) have been conducted on many complex human traits in recent years, there has been only limited success in translating these GWAS data into clinically useful risk prediction models. The predictive capability of GWAS data is largely bottlenecked by the available training sample size due to the presence of numerous variants carrying only small to modest effects. Recent studies have shown that different human traits may share common genetic bases. Therefore, an attractive strategy to increase th

SUBMITTER: Li C 

PROVIDER: S-EPMC3988249 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature