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

Thomas W. Winkler, Felix R. Day, Damien C. Croteau-Chonka, Andrew R. Wood, Adam E. Locke, Reedik Mägi, Teresa Ferreira, Tove Fall, Mariaelisa Graff, Anne E. Justice, Jian'an Luan, Stefan Gustafsson, Joshua C. Randall, Sailaja Vedantam, Tsegaselassie Workalemahu, Tuomas O. Kilpeläinen, André Scherag, Tonu Esko, Zoltán Kutalik, Iris M. Heid (Lead / Corresponding author)Ruth J. F. Loos, Genetic Investigation of ANthropometric Traits (GIANT) Consortium

    Research output: Contribution to journalArticlepeer-review

    168 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)1192-1212
    Number of pages21
    JournalNature Protocols
    Volume9
    Issue number5
    DOIs
    Publication statusPublished - May 2014

    Keywords

    • Genome-Wide Association Study
    • Meta-Analysis as Topic
    • Quality Control
    • Software

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