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Identifying loci affecting trait variability and detecting interactions in genome-wide association studies

Abstract:

Identification of genetic variants with effects on trait variability can provide insights into the biological mechanisms that control variation and can identify potential interactions. We propose a two-degree-of-freedom test for jointly testing mean and variance effects to identify such variants. We implement the test in a linear mixed model, for which we provide an efficient algorithm and software. To focus on biologically interesting settings, we develop a test for dispersion effects, that ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1038/s41588-018-0225-6

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDM
Subgroup:
BDI-NDM
Wauthier, FL More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Statistics
Oxford college:
St Annes College
ORCID:
0000-0001-9495-3408
Publisher:
Springer Nature Publisher's website
Journal:
Nature Genetics Journal website
Volume:
50
Issue:
11
Pages:
1608-1614
Publication date:
2018-10-15
Acceptance date:
2018-08-03
DOI:
EISSN:
1546-1718
ISSN:
1061-4036
Pubs id:
pubs:929676
URN:
uri:1eec35e5-0085-491a-9c93-1646553248f1
UUID:
uuid:1eec35e5-0085-491a-9c93-1646553248f1
Local pid:
pubs:929676
Language:
English

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