Factors Affecting Statistical Power in the Detection of Genetic Association

J Clin Invest. 2005 Jun;115(6):1408-18. doi: 10.1172/JCI24756.

Abstract

The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.
  • Review

MeSH terms

  • Data Interpretation, Statistical
  • Genetic Markers
  • Genetic Predisposition to Disease / genetics*
  • Humans
  • Linkage Disequilibrium*
  • Lod Score*
  • Models, Genetic*
  • Quantitative Trait, Heritable*

Substances

  • Genetic Markers