A major spin-off of the Human Genome Project (HGP) is the effort to understand diseases and complex traits in humans using genetic information. Perhaps the most common approach is to utilize case-control studies. Unfortunately, case-control studies may rely upon unrealistic assumptions and may present spurious associations. On a statistical level, the test statistics may be inflated. Genomic Control introduced in 1999 by Devlin and Roeder is one time-tested method of corrective action. I will review this paper in detail and discuss other statistical approaches developed in the last 15 years to advance association studies.

Relevant Paper: http://www.stat.cmu.edu/~roeder/publications/dev-roeder1999.pdf

Seminar Information

  • Speaker: Will Eagan
  • Date: Thursday, March 24, 2016
  • Time: 4:30 pm - 5:20 pm
  • Location: Math Library Lounge