title: Statistical methods in genetics.
abstract: In recent years, a very large variety of statistical methodologies, at various levels of complexity, have been put forward to analyse genotype data and detect genetic variations that may be responsible for increasing the susceptibility to disease. This review provides a concise account of a number of selected statistical methods for population-based association mapping, from single-marker tests of association to multi-marker data mining techniques for gene-gene interaction detection.
authors.affiliation: Department of Mathematics, Imperial College London, London, UK. g.montana@imperial.ac.uk
authors.forename: Giovanni
authors.initials: G
authors.lastname: Montana
mesh_terms: D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D005838:Genotype; D006801:Humans; D015810:Linkage Disequilibrium; D008957:Models, Genetic; D015233:Models, Statistical
chemical_list: D005819:Genetic Markers