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

AUTHOR GROUP, D.I. Boomsma, E.J.C. de Geus, J.J. Hottenga, G. Willemsen, B.W.J.H. Penninx, J.H. Smit

Research output: Contribution to journalArticleAcademicpeer-review

293 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)1192-1212
Number of pages21
JournalNature protocols
Volume9
Issue number5
DOIs
Publication statusPublished - 2014

Cohort Studies

  • Netherlands Twin Register (NTR)

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