Quality control and conduct of genome-wide association meta-analyses.
Data(s) |
2014
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Resumo |
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. |
Identificador |
https://serval.unil.ch/?id=serval:BIB_05D9949A5AAE isbn:1750-2799 (Electronic) pmid:24762786 doi:10.1038/nprot.2014.071 isiid:000335014500015 http://my.unil.ch/serval/document/BIB_05D9949A5AAE.pdf http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_05D9949A5AAE2 |
Idioma(s) |
en |
Fonte |
Nature Protocols, vol. 9, no. 5, pp. 1192-1212 |
Tipo |
info:eu-repo/semantics/article article |
Direitos |
info:eu-repo/semantics/openAccess |