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Identifying lineage effects when controlling for population structure improves power in bacterial association studies

Abstract:

Bacteria pose unique challenges for genome-wide association studies because of strong structuring into distinct strains and substantial linkage disequilibrium across the genome1,2. Although methods developed for human studies can correct for strain structure3,4, this risks considerable loss-of-power because genetic differences between strains often contribute substantial phenotypic variability5. Here, we propose a new method that captures lineage-level associations even when locus-specific as...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/nmicrobiol.2016.41

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Experimental Medicine
Role:
Author
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Wellcome Trust More from this funder
Medical Research Council More from this funder
Department of Health More from this funder
Publisher:
Nature Research Publisher's website
Journal:
Nature Microbiology Journal website
Volume:
1
Issue:
5
Article number:
16041
Publication date:
2016-04-04
Acceptance date:
2016-03-01
DOI:
EISSN:
2058-5276
Pmid:
27572646
Source identifiers:
641690
Language:
English
Keywords:
Pubs id:
pubs:641690
UUID:
uuid:40439205-a6fb-4e7a-8dad-fb9e9ed3588a
Local pid:
pubs:641690
Deposit date:
2017-08-30

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