Risk prediction using genome-wide association studies.

@article{Kooperberg2010RiskPU,
  title={Risk prediction using genome-wide association studies.},
  author={Charles L. Kooperberg and Michael LeBlanc and Valerie Obenchain},
  journal={Genetic epidemiology},
  year={2010},
  volume={34 7},
  pages={643-52}
}
Over the last few years, many new genetic associations have been identified by genome-wide association studies (GWAS). There are potentially many uses of these identified variants: a better understanding of disease etiology, personalized medicine, new leads for studying underlying biology, and risk prediction. Recently, there has been some skepticism regarding the prospects of risk prediction using GWAS, primarily motivated by the fact that individual effect sizes of variants associated with… CONTINUE READING

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