Title |
Canine Population Structure: Assessment and Impact of Intra-Breed Stratification on SNP-Based Association Studies
|
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
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% |