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Defining the power limits of genome-wide association scan meta-analyses

✍ Scribed by Kay Chapman; Teresa Ferreira; Andrew Morris; Jennifer Asimit; Eleftheria Zeggini

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
286 KB
Volume
35
Category
Article
ISSN
0741-0395

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✦ Synopsis

Abstract

Large‐scale meta‐analyses of genome‐wide association scans (GWAS) have been successful in discovering common risk variants with modest and small effects. The detection of lower frequency signals will undoubtedly require concerted efforts of at least similar scale. We investigate the sample size‐dictated power limits of GWAS meta‐analyses, in the presence and absence of modest levels of heterogeneity and across a range of different allelic architectures. We find that data combination through large‐scale collaboration is vital in the quest for complex trait susceptibility loci, but that effect size heterogeneity across meta‐analyzed studies drawn from similar populations does not appear to have a profound effect on sample size requirements. Genet. Epidemiol. 2011. © 2011 Wiley Periodicals, Inc. 35:781‐789, 2011

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