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X Demographics
Mendeley readers
| Title |
Sequencing strategies and characterization of 721 vervet monkey genomes for future genetic analyses of medically relevant traits
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|---|---|
| Published in |
BMC Biology, June 2015
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| DOI | 10.1186/s12915-015-0152-2 |
| Pubmed ID | |
| Authors |
Yu S. Huang, Vasily Ramensky, Susan K. Service, Anna J. Jasinska, Yoon Jung, Oi-Wa Choi, Rita M. Cantor, Nikoleta Juretic, Jessica Wasserscheid, Jay R. Kaplan, Matthew J. Jorgensen, Thomas D. Dyer, Ken Dewar, John Blangero, Richard K. Wilson, Wesley Warren, George M. Weinstock, Nelson B. Freimer |
| Abstract |
We report here the first genome-wide high-resolution polymorphism resource for non-human primate (NHP) association and linkage studies, constructed for the Caribbean-origin vervet monkey, or African green monkey (Chlorocebus aethiops sabaeus), one of the most widely used NHPs in biomedical research. We generated this resource by whole genome sequencing (WGS) of monkeys from the Vervet Research Colony (VRC), an NIH-supported research resource for which extensive phenotypic data are available. We identified genome wide single nucleotide polymorphisms (SNPs) by WGS of 721 members of an extended pedigree from the VRC. From high-depth WGS data we identified more than 4 million polymorphic unequivocal segregating sites; by pruning these SNPs based on heterozygosity, quality control filters, and the degree of linkage disequilibrium (LD) between SNPs we constructed genome wide panels suitable for genetic association (~500,000 SNPs) and linkage analysis (~150,000 SNPs). To further enhance the utility of these resources for linkage analysis, we used a further pruned subset of the linkage panel to generate multipoint identity by descent (MIBD) matrices. The genetic and phenotypic resources now available for the VRC and other Caribbean-origin vervets enable their use for genetic investigation of traits relevant to human diseases. |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 21% |
| United Kingdom | 3 | 21% |
| Spain | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 3 | 21% |
| Science communicators (journalists, bloggers, editors) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 19% |
| Student > Ph. D. Student | 5 | 16% |
| Professor | 4 | 13% |
| Researcher | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 45% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 23% |