Description

This is a basic applied course of statistics addressing study designs, ascertainment bias, confounding and other statistical issues in genetics. It covers a range of topics that include population genetics principles, segregation analysis, pedigree analysis, association and linkage disequilibrium, candidate gene and candidate region studies, GAWs, and rare-variant analysis.

Prerequisites

Undergraduate statistics inference and regression courses. Previous exposure to genetics and biology desirable.

References

• K Lange, 2003. Mathematical and statistical methods for genetic analysis.
  Springer.
• EA Thompson, 2000. Statistical inference from genetic data on pedigrees.
  Institute of Mathematical Statistics.
• DC Thomas, 2004. Statistical methods in genetic epidemiology. Oxford.
• M Lynch and B Walsh. 1998. Genetic analysis of quantitative traits. Sinauer.
• JD Terwilliger and J Ott, 1994. Handbook of human genetic linkage. Johns
  Hopkins.
• BS Weir, 1996. Genetic data analysis II. Sinauer.