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


Autoria(s): Winkler T.W.; Day F.R.; Croteau-Chonka D.C.; Wood A.R.; Locke A.E.; Mägi R.; Ferreira T.; Fall T.; Graff M.; Justice A.E.; Luan J.; Gustafsson S.; Randall J.C.; Vedantam S.; Workalemahu T.; Kilpeläinen T.O.; Scherag A.; Esko T.; Kutalik Z.; Heid I.M.; Loos R.J.; Genetic Investigation of Anthropometric Traits (GIANT) Consortium
Data(s)

2014

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