Stat 6573 Statistical genetics

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.

Contact

Mathematics and Statistics

230 Elizabeth Ave, St. John's, NL, CANADA, A1B 3X9

Postal Address: P.O. Box 4200, St. John's, NL, CANADA, A1C 5S7

Tel: (709) 864-8000