Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.

@article{Mechanic2012NextGA,
  title={Next generation analytic tools for large scale genetic epidemiology studies of complex diseases.},
  author={Leah E. Mechanic and Huann-Sheng Chen and Christopher I. Amos and Nilanjan Chatterjee and Nancy J. Cox and Rao Divi and Ruzong Fan and E. L. Harris and Kevin B. Jacobs and Peter Kraft and Suzanne M. Leal and Kimberly Ann McAllister and Jason H. Moore and Dina N. Paltoo and Michael A. Province and Erin M. Ramos and Marylyn DeRiggi Ritchie and Kathryn Roeder and Daniel J. Schaid and Matthew Stephens and Duncan C Thomas and Clarice R. Weinberg and John S. Witte and Shunpu Zhang and Sebastian Z{\"o}llner and Eric J. Feuer and Elizabeth Gillanders},
  journal={Genetic epidemiology},
  year={2012},
  volume={36 1},
  pages={22-35}
}
Over the past several years, genome-wide association studies (GWAS) have succeeded in identifying hundreds of genetic markers associated with common diseases. However, most of these markers confer relatively small increments of risk and explain only a small proportion of familial clustering. To identify obstacles to future progress in genetic epidemiology research and provide recommendations to NIH for overcoming these barriers, the National Cancer Institute sponsored a workshop entitled "Next… CONTINUE READING
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