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    Quality control and conduct of genome-wide association meta-analyses.

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    URI
    http://hdl.handle.net/11287/618354
    Author
    Winkler, T. W. [el al]
    Hattersley, Andrew T.
    Date
    2014-05
    Journal
    Nature Protocols
    Type
    Journal Article
    Research Support, N.I.H., Extramural
    Research Support, Non-U.S. Gov't
    Publisher
    Nature Protocols
    DOI
    10.1038/nprot.2014.071
    Rights
    Archived with thanks to Nature protocols
    Metadata
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    Abstract
    Rigorous 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.
    Citation
    Quality control and conduct of genome-wide association meta-analyses. 2014, 9 (5):1192-212 Nat Protoc
    Publisher URL
    http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24762786/
    Note
    This article is freely available via Open Access. Click on the 'Additional Link' above to access the full text.
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