| Title |
Copy number variation in the domestic dog
|
|---|---|
| Published in |
Mammalian Genome, December 2011
|
| DOI | 10.1007/s00335-011-9369-8 |
| Pubmed ID | |
| Authors |
Carlos E. Alvarez, Joshua M. Akey |
| Abstract |
Differences in the content and organization of DNA, collectively referred to as structural variation, have emerged as a major source of genetic and phenotypic diversity within and between species. In addition, structural variation provides an important substrate for evolutionary innovations. Here, we review recent progress in characterizing patterns of canine structural variation within and between breeds, and in correlating copy number variants (CNVs) with phenotypes. Because of the extensive phenotypic diversity that exists within and between breeds and the tantalizing examples of canine CNVs that influence traits such as skin wrinkling in Shar-Pei, dorsal hair ridge in Rhodesian and Thai Ridgebacks, and short limbs in many breeds such as Dachshunds and Corgis, we argue that domesticated dogs are uniquely poised to contribute novel insights into CNV biology. As new technologies continue to be developed and refined, the field of canine genomics is on the precipice of a deeper understanding of how structural variation and CNVs contribute to canine genetic diversity, phenotypic variation, and disease susceptibility. |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| China | 1 | 1% |
| Cyprus | 1 | 1% |
| Austria | 1 | 1% |
| Unknown | 65 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 22% |
| Student > Ph. D. Student | 15 | 22% |
| Student > Bachelor | 9 | 13% |
| Other | 8 | 12% |
| Student > Master | 5 | 7% |
| Other | 8 | 12% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 51% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Veterinary Science and Veterinary Medicine | 6 | 9% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 3 | 4% |
| Other | 2 | 3% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 November 2020.
All research outputs
#7,411,203
of 22,659,164 outputs
Outputs from Mammalian Genome
#316
of 1,123 outputs
Outputs of similar age
#69,564
of 240,312 outputs
Outputs of similar age from Mammalian Genome
#8
of 16 outputs
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