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Unlocking the bottleneck in forward genetics using whole-genome sequencing and identity by descent to isolate causative mutations

Abstract:
Forward genetics screens with N-ethyl-N-nitrosourea (ENU) provide a powerful way to illuminate gene function and generate mouse models of human disease; however, the identification of causative mutations remains a limiting step. Current strategies depend on conventional mapping, so the propagation of affected mice requires non-lethal screens; accurate tracking of phenotypes through pedigrees is complex and uncertain; out-crossing can introduce unexpected modifiers; and Sanger sequencing of candidate genes is inefficient. Here we show how these problems can be efficiently overcome using whole-genome sequencing (WGS) to detect the ENU mutations and then identify regions that are identical by descent (IBD) in multiple affected mice. In this strategy, we use a modification of the Lander-Green algorithm to isolate causative recessive and dominant mutations, even at low coverage, on a pure strain background. Analysis of the IBD regions also allows us to calculate the ENU mutation rate (1.54 mutations per Mb) and to model future strategies for genetic screens in mice. The introduction of this approach will accelerate the discovery of causal variants, permit broader and more informative lethal screens to be used, reduce animal costs, and herald a new era for ENU mutagenesis.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pgen.1003219

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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Kennedy Institute for Rheumatology
Role:
Author


Publisher:
Public Library of Science
Journal:
PLoS Genetics More from this journal
Volume:
9
Issue:
1
Pages:
ARTN e1003219
Publication date:
2013-01-31
Acceptance date:
2012-11-20
DOI:
EISSN:
1553-7404
ISSN:
1553-7390


Language:
English
Keywords:
Pubs id:
383505
UUID:
uuid:46bf6c74-1f35-49fb-8454-d0774ebbe453
Local pid:
pubs:383505
Source identifiers:
383505
Deposit date:
2013-11-16
ARK identifier:

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