Journal Article

Practical aspects of imputation-driven meta-analysis of genome-wide association studies

Paul I.W. de Bakker, Manuel A.R. Ferreira, Xiaoming Jia, Benjamin M. Neale, Soumya Raychaudhuri and Benjamin F. Voight

in Human Molecular Genetics

Volume 17, issue R2, pages R122-R128
Published in print October 2008 | ISSN: 0964-6906
Published online October 2008 | e-ISSN: 1460-2083 | DOI: http://dx.doi.org/10.1093/hmg/ddn288
Practical aspects of imputation-driven meta-analysis of genome-wide association studies

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Motivated by the overwhelming success of genome-wide association studies, droves of researchers are working vigorously to exchange and to combine genetic data to expediently discover genetic risk factors for common human traits. The primary tools that fuel these new efforts are imputation, allowing researchers who have collected data on a diversity of genotype platforms to share data in a uniformly exchangeable format, and meta-analysis for pooling statistical support for a genotype–phenotype association. As many groups are forming collaborations to engage in these efforts, this review collects a series of guidelines, practical detail and learned experiences from a variety of individuals who have contributed to the subject.

Journal Article.  4849 words.  Illustrated.

Subjects: Genetics and Genomics

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