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Mutation discovery in the mouse using genetically guided array capture and resequencing

Overview of attention for article published in Mammalian Genome, July 2009
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Title
Mutation discovery in the mouse using genetically guided array capture and resequencing
Published in
Mammalian Genome, July 2009
DOI 10.1007/s00335-009-9200-y
Pubmed ID
Authors

Mark D’Ascenzo, Carl Meacham, Jacob Kitzman, Christina Middle, Jim Knight, Roger Winer, Miroslav Kukricar, Todd Richmond, Thomas J. Albert, Anne Czechanski, Leah Rae Donahue, Jason Affourtit, Jeffrey A. Jeddeloh, Laura Reinholdt

Abstract

Forward genetics (phenotype-driven approaches) remain the primary source for allelic variants in the mouse. Unfortunately, the gap between observable phenotype and causative genotype limits the widespread use of spontaneous and induced mouse mutants. As alternatives to traditional positional cloning and mutation detection approaches, sequence capture and next-generation sequencing technologies can be used to rapidly sequence subsets of the genome. Application of these technologies to mutation detection efforts in the mouse has the potential to significantly reduce the time and resources required for mutation identification by abrogating the need for high-resolution genetic mapping, long-range PCR, and sequencing of individual PCR amplimers. As proof of principle, we used array-based sequence capture and pyrosequencing to sequence an allelic series from the classically defined Kit locus (approximately 200 kb) from each of five noncomplementing Kit mutants (one known allele and four unknown alleles) and have successfully identified and validated a nonsynonymous coding mutation for each allele. These data represent the first documentation and validation that these new technologies can be used to efficiently discover causative mutations. Importantly, these data also provide a specific methodological foundation for the development of large-scale mutation detection efforts in the laboratory mouse.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Switzerland 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 7 21%
Professor > Associate Professor 6 18%
Student > Bachelor 4 12%
Professor 3 9%
Other 3 9%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 45%
Biochemistry, Genetics and Molecular Biology 4 12%
Medicine and Dentistry 3 9%
Engineering 2 6%
Neuroscience 2 6%
Other 2 6%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2014.
All research outputs
#15,303,385
of 22,759,618 outputs
Outputs from Mammalian Genome
#929
of 1,126 outputs
Outputs of similar age
#93,772
of 110,601 outputs
Outputs of similar age from Mammalian Genome
#5
of 5 outputs
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