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Canine Population Structure: Assessment and Impact of Intra-Breed Stratification on SNP-Based Association Studies

Overview of attention for article published in PLOS ONE, December 2007
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Title
Canine Population Structure: Assessment and Impact of Intra-Breed Stratification on SNP-Based Association Studies
Published in
PLOS ONE, December 2007
DOI 10.1371/journal.pone.0001324
Pubmed ID
Authors

Pascale Quignon, Laetitia Herbin, Edouard Cadieu, Ewen F. Kirkness, Benoit Hédan, Dana S. Mosher, Francis Galibert, Catherine André, Elaine A. Ostrander, Christophe Hitte

Abstract

In canine genetics, the impact of population structure on whole genome association studies is typically addressed by sampling approximately equal numbers of cases and controls from dogs of a single breed, usually from the same country or geographic area. However one way to increase the power of genetic studies is to sample individuals of the same breed but from different geographic areas, with the expectation that independent meiotic events will have shortened the presumed ancestral haplotype around the mutation differently. Little is known, however, about genetic variation among dogs of the same breed collected from different geographic regions.

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Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
France 2 2%
Hungary 1 1%
Australia 1 1%
Italy 1 1%
Spain 1 1%
Sweden 1 1%
Unknown 79 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 18 20%
Student > Master 11 12%
Student > Bachelor 10 11%
Professor > Associate Professor 5 6%
Other 16 18%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 49%
Biochemistry, Genetics and Molecular Biology 10 11%
Veterinary Science and Veterinary Medicine 9 10%
Medicine and Dentistry 7 8%
Environmental Science 3 3%
Other 8 9%
Unknown 8 9%