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dc.contributor.authorWinkler, T. W. [el al]en
dc.contributor.authorHattersley, Andrew T.en
dc.identifier.citationQuality control and conduct of genome-wide association meta-analyses. 2014, 9 (5):1192-212 Nat Protocen
dc.descriptionAndrew Hattersley was one of the collaborators on this journal article/project.en
dc.description.abstractRigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC at the study file level, the meta-level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for the use of a powerful and flexible software package called EasyQC. Precise timings will be greatly influenced by consortium size. For consortia of comparable size to the GIANT Consortium, this protocol takes a minimum of about 10 months to complete.en
dc.publisherNature Protocolsen
dc.rightsArchived with thanks to Nature protocolsen
dc.subjectWessex Classification Subject Headings::Oncology. Pathology.::Geneticsen
dc.titleQuality control and conduct of genome-wide association meta-analyses.en
dc.typeJournal Articleen
dc.typeResearch Support, N.I.H., Extramuralen
dc.typeResearch Support, Non-U.S. Gov'ten
dc.identifier.journalNature Protocolsen
dc.description.noteThis article is freely available via Open Access. Click on the 'Additional Link' above to access the full text.en

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