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.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Nature Protocols (Print) |
| Vol/bind | 9 |
| Udgave nummer | 5 |
| Sider (fra-til) | 1192-212 |
| Antal sider | 21 |
| ISSN | 1754-2189 |
| DOI | |
| Status | Udgivet - maj 2014 |
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