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

2.50
Hdl Handle:
http://hdl.handle.net/11287/618354
Title:
Quality control and conduct of genome-wide association meta-analyses.
Authors:
Winkler, T. W. [el al]; Hattersley, Andrew T.
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.
Citation:
Quality control and conduct of genome-wide association meta-analyses. 2014, 9 (5):1192-212 Nat Protoc
Publisher:
Nature Protocols
Journal:
Nature Protocols
Issue Date:
May-2014
URI:
http://hdl.handle.net/11287/618354
DOI:
10.1038/nprot.2014.071
PubMed ID:
24762786
Additional Links:
http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24762786/
Note:
This article is freely available via Open Access. Click on the 'Additional Link' above to access the full text.
Type:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Language:
en
Description:
Andrew Hattersley was one of the collaborators on this journal article/project.
ISSN:
1750-2799
Appears in Collections:
2014 RD&E publications; Diabetes/Endocrine Services

Full metadata record

DC FieldValue Language
dc.contributor.authorWinkler, T. W. [el al]en
dc.contributor.authorHattersley, Andrew T.en
dc.date.accessioned2016-08-12T08:40:35Z-
dc.date.available2016-08-12T08:40:35Z-
dc.date.issued2014-05-
dc.identifier.citationQuality control and conduct of genome-wide association meta-analyses. 2014, 9 (5):1192-212 Nat Protocen
dc.identifier.issn1750-2799-
dc.identifier.pmid24762786-
dc.identifier.doi10.1038/nprot.2014.071-
dc.identifier.urihttp://hdl.handle.net/11287/618354-
dc.descriptionAndrew Hattersley was one of the collaborators on this journal article/project.en
dc.description.abstractRigorous 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.en
dc.language.isoenen
dc.publisherNature Protocolsen
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24762786/en
dc.rightsArchived with thanks to Nature protocolsen
dc.subjectWessex Classification Subject Headings::Oncology. Pathology.::Geneticsen
dc.titleQuality control and conduct of genome-wide association meta-analyses.en
dc.typeJournal Articleen
dc.typeResearch Support, N.I.H., Extramuralen
dc.typeResearch Support, Non-U.S. Gov'ten
dc.identifier.journalNature Protocolsen
dc.description.noteThis article is freely available via Open Access. Click on the 'Additional Link' above to access the full text.en
dc.type.versionPublisheden

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