title: Statistical issues in gene association studies.
abstract: This chapter reviews statistical issues related to gene association studies. The goal is to review various aspects of study design and analysis for individuals who do not have an extensive statistical background. We will review statistical issues as they relate to both genome-wide and candidate gene studies. Topics reviewed include study design, power and sample size, data checking, statistical methods, population stratification, and multiple testing. We draw examples from the type 2 diabetes genetics literature to illustrate some of the issues discussed.
authors.affiliation: Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. rwatanab@usc.edu
authors.forename: Richard M
authors.initials: RM
authors.lastname: Watanabe
mesh_terms: D003627:Data Interpretation, Statistical; D020022:Genetic Predisposition to Disease / Q000235:genetics; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D012107:Research Design