- Authors:
-
- Winkler, Thomas W ;
- Day, Felix R ;
- Croteau-Chonka, Damien C ;
- Wood, Andrew R ;
- Locke, Adam E ;
- Mägi, Reedik ;
- Ferreira, Teresa ;
- Fall, Tove ;
- Graff, Mariaelisa ;
- Justice, Anne E ;
- Luan, Jian'an ;
- Gustafsson, Stefan ;
- Randall, Joshua C ;
- Vedantam, Sailaja ;
- Workalemahu, Tsegaselassie ;
- Kilpeläinen, Tuomas ;
- Scherag, André ;
- Esko, Tonu ;
- Kutalik, Zoltán ;
- Heid, Iris M ;
- Loos, Ruth J F
- DOI:
- 10.1038/nprot.2014.071
- 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.
- Type:
- Journal article
- Language:
- English
- Published in:
- Nature Protocols (online), 2014, Vol 9, Issue 5, p. 1192-1212
- Keywords:
- Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Genome-Wide Association Study; Meta-Analysis as Topic; Quality Control; Software
- Main Research Area:
- Medical science
- Publication Status:
- Published
- Review type:
- Peer Review
- Submission year:
- 2014
- Scientific Level:
- Scientific
- ID:
- 266902305