Meta-analysis Methods for Genome-Wide Association Studies and Beyond

Evangelos, E. and Loannidis, J.P.A. (2013) Meta-analysis Methods for Genome-Wide Association Studies and Beyond. Nature Reviews Genetics. pp. 1-11.

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Abstract

Meta-analysis of genome-wide association studies (GWASs) has become a popular method for discovering genetic risk variants. Here, we overview both widely applied and newer statistical methods for GWAS meta-analysis, including issues of interpretation and assessment of sources of heterogeneity. We also discuss extensions of these meta-analysis methods to complex data. Where possible, we provide guidelines for researchers who are planning to use these methods. Furthermore, we address special issues that may arise for meta-analysis of sequencing data and rare variants. Finally, we discuss challenges and solutions surrounding the goals of making meta-analysis data publicly available and building powerful consortia.

Item Type: Article
Author Affiliation: Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece.
Subjects: Crop Improvement > Genetics/Genomics
Plant Physiology and Biochemistry > Biochemistry
Divisions: General
Depositing User: Mr Daneti Raju
Date Deposited: 26 Aug 2014 10:34
Last Modified: 26 Aug 2014 10:34
Official URL: http:dx.doi.org/10.1038/nrg3472
URI: http://eprints.icrisat.ac.in/id/eprint/13398

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