title: Factors affecting statistical power in the detection of genetic association.
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.
authors.affiliation: Laboratory of Statistical Genetics, Rockefeller University, New York, New York 10021, USA. gordon@linkage.rockefeller.edu
authors.forename: Derek
authors.initials: D
authors.lastname: Gordon
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Finch
mesh_terms: D003627:Data Interpretation, Statistical; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D006801:Humans; D015810:Linkage Disequilibrium; D008126:Lod Score; D008957:Models, Genetic; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers