Work

Application of Ancestry Informative Markers to Association Studies in European Americans

Year: 2008

Type: article

Abstract: Recently, whole genome association (WGA) studies have accelerated progress in the search for genetic variations underlying the inheritance of complex genetic diseases. Although population differences in allele frequencies are usually small, these studies have demonstrated the importance of accounting for population differences in order to reduce false positive associations. Even within a continental population, population stratification— ancestry differences between cases and controls—can cause false associations at markers whose frequency differs across subpopulations [1,2]. For example, in a recent WGA study of rheumatoid arthritis in European Americans, markers in the LCT and IRF4 genes would have been falsely implicated as associated to disease without the application of methods to control for stratification [3]. Similar empirical examples of

Source: PLoS Genetics

DOI: 10.1371/journal.pgen.0040005

Authors: Michael F. Seldin, Alkes L. Price

Institutions: University of California, Davis, Broad Institute, Harvard University, University of Chicago

Language: English

Topic: Forensic and Genetic Research

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,043