Panagiotou, O.A. and Willer, C.J. and Hirschhorn, J.N. and Ioannidis, P.A. (2013) The Power of Meta-Analysis in Genome-Wide Association Studies. Annual Revew of Genomics and Human Genetics, 14. pp. 441-465.
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Abstract
Meta-analysis of multiple genome-wide association (GWA) studies has become common practice over the past few years. The main advantage of this technique is the maximization of power to detect subtle genetic effects for common traits. Moreover, one can use meta-analysis to probe and identify heterogeneity in the effect sizes across the combined studies. In this review, we systematically appraise and evaluate the characteristics of GWA meta-analyses with 10,000 or more subjects published up to June 2012. We provide an overview of the current landscape of variants discovered by GWA meta-analyses, and we discuss and assess with extrapolations from empirical data the value of larger meta-analyses for the discovery of additional genetic associations and new biology in the future. Finally, we discuss some emerging logistical and practical issues related to the conduct of meta-analysis of GWA studies.
Item Type: | Article |
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Uncontrolled Keywords: | Variance explained, gene discovery, sample size, common variants, rare variants, missing heritability, consortium |
Author Affiliation: | Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece |
Subjects: | Plant Physiology and Biochemistry > Biochemistry |
Divisions: | General |
Depositing User: | Mr Daneti Raju |
Date Deposited: | 13 Oct 2014 06:24 |
Last Modified: | 13 Oct 2014 06:24 |
Official URL: | http://dx.doi.org/10.1146/annurev-genom-091212-153... |
URI: | http://eprints.icrisat.ac.in/id/eprint/13484 |
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