title: A tutorial on statistical methods for population association studies.
abstract: Although genetic association studies have been with us for many years, even for the simplest analyses there is little consensus on the most appropriate statistical procedures. Here I give an overview of statistical approaches to population association studies, including preliminary analyses (Hardy-Weinberg equilibrium testing, inference of phase and missing data, and SNP tagging), and single-SNP and multipoint tests for association. My goal is to outline the key methods with a brief discussion of problems (population structure and multiple testing), avenues for solutions and some ongoing developments.
authors.affiliation: Department of Epidemiology and Public Health, Imperial College, St Marys Campus, Norfolk Place, London W2 1PG, UK. d.balding@imperial.ac.uk
authors.forename: David J
authors.initials: DJ
authors.lastname: Balding
mesh_terms: D005826:Genetics, Medical / Q000379:methods*; D005828:Genetics, Population / Q000379:methods*; D015894:Genome, Human / Q000235:genetics; D005838:Genotype; D006239:Haplotypes; D006801:Humans; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D013223:Statistics as Topic / Q000379:methods*