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Guidance for the utility of linear models in meta-analysis of genetic association studies of binary phenotypes

Abstract:

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population stratification and relatedness through inclusion of random effects for a genetic relationship matrix. However, the utility of linear (mixed) models in the context of meta-analysis of GWAS of binary phenotypes has not been previously explored. In this investigation, we present simulations to compare the perfor...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/ejhg.2016.150

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More from this funder
Name:
Wellcome Trust
Funding agency for:
Morris, A
Grant:
Senior Fellow in Basic Biomedical Science (WT098017
Publisher:
Nature Publishing Group
Journal:
European Journal of Human Genetics More from this journal
Volume:
25
Issue:
2
Pages:
240-245
Publication date:
2016-11-16
Acceptance date:
2016-09-27
DOI:
EISSN:
1476-5438
ISSN:
1018-4813
Language:
English
Pubs id:
pubs:660316
UUID:
uuid:1ce72172-9441-4176-804b-c626ec9d5764
Local pid:
pubs:660316
Source identifiers:
660316
Deposit date:
2017-06-26

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