| Literature DB >> 24762786 |
Thomas W Winkler1, Felix R Day2, Damien C Croteau-Chonka3, Andrew R Wood4, Adam E Locke5, Reedik Mägi6, Teresa Ferreira7, Tove Fall8, Mariaelisa Graff9, Anne E Justice9, Jian'an Luan2, Stefan Gustafsson10, Joshua C Randall11, Sailaja Vedantam12, Tsegaselassie Workalemahu13, Tuomas O Kilpeläinen14, André Scherag15, Tonu Esko16, Zoltán Kutalik17, Iris M Heid18, Ruth J F Loos19.
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.Entities:
Mesh:
Year: 2014 PMID: 24762786 PMCID: PMC4083217 DOI: 10.1038/nprot.2014.071
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491