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Improving the Signal-to-Noise ratio in genome-wide association studies

✍ Scribed by Lisa J. Martin; Guimin Gao; Guolian Kang; Yixin Fang; Jessica G. Woo

Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
70 KB
Volume
33
Category
Article
ISSN
0741-0395

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✦ Synopsis

Abstract

Genome‐wide association studies employ hundreds of thousands of statistical tests to determine which regions of the genome may likely harbor disease‐causing alleles. Such large‐scale testing simultaneously requires stringent control over type I error and maintenance of sufficient power to detect true associations. These contradictory goals have led some researchers beyond Bonferroni correction of P‐values to an exploration of methods to improve the detection of a few true effects in the presence of many unassociated loci. This article reviews how Genetic Analysis Workshop 16 Group 5 investigators proposed to adjust for multiple tests while simultaneously using information about the structure of the genome to improve the detection of true positives. Genet. Epidemiol. 33 (Suppl. 1):S29–S32, 2009. © 2009 Wiley‐Liss, Inc.

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