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

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.

journal_name

Genet Epidemiol

journal_title

Genetic epidemiology

authors

Chapman K,Ferreira T,Morris A,Asimit J,Zeggini E

doi

10.1002/gepi.20627

subject

Has Abstract

pub_date

2011-12-01 00:00:00

pages

781-9

issue

8

eissn

0741-0395

issn

1098-2272

journal_volume

35

pub_type

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