Open Access Green as soon as Postprint is submitted to ZB.
Quality control and conduct of genome-wide association meta-analyses.
Nat. Protoc. 9, 1192-1212 (2014)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
7.782
2.315
52
218
Annotations
Special Publikation
Hide on homepage
Publication type
Article: Journal article
Document type
Scientific Article
Language
english
Publication Year
2014
HGF-reported in Year
2014
ISSN (print) / ISBN
1754-2189
e-ISSN
1750-2799
Journal
Nature Protocols
Quellenangaben
Volume: 9,
Issue: 5,
Pages: 1192-1212
Publisher
Nature Publishing Group
Reviewing status
Peer reviewed
Institute(s)
Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
CCG Nutrigenomics and Type 2 Diabetes (KKG-KDN)
Institute of Genetic Epidemiology (IGE)
CCG Nutrigenomics and Type 2 Diabetes (KKG-KDN)
POF-Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30502 - Diabetes: Pathophysiology, Prevention and Therapy
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30502 - Diabetes: Pathophysiology, Prevention and Therapy
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504000-007
G-504100-001
G-521600-002
G-504100-001
G-521600-002
PubMed ID
24762786
Erfassungsdatum
2014-08-18