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Mendeley readers
| Title |
Genetic analysis of the Trichuris muris-induced model of colitis reveals QTL overlap and a novel gene cluster for establishing colonic inflammation
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|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-127 |
| Pubmed ID | |
| Authors |
Scott E Levison, Paul Fisher, Jenny Hankinson, Leo Zeef, Steve Eyre, William E Ollier, John T McLaughlin, Andy Brass, Richard K Grencis, Joanne L Pennock |
| Abstract |
Genetic susceptibility to colonic inflammation is poorly defined at the gene level. Although Genome Wide Association studies (GWAS) have identified loci in the human genome which confer susceptibility to Inflammatory Bowel Disease (Crohn's and Ulcerative Colitis), it is not clear if precise loci exist which confer susceptibility to inflammation at specific locations within the gut e.g. small versus large intestine. Susceptibility loci for colitis in particular have been defined in the mouse, although specific candidate genes have not been identified to date. We have previously shown that infection with Trichuris muris (T. muris) induces chronic colitis in susceptible mouse strains with clinical, histological, and immunological homology to human colonic Crohn's disease. We performed an integrative analysis of colitis susceptibility, using an F2 inter-cross of resistant (BALB/c) and susceptible (AKR) mice following T. muris infection. Quantitative Trait Loci (QTL), polymorphic and expression data were analysed alongside in silico workflow analyses to discover novel candidate genes central to the development and biology of chronic colitis. |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| South Africa | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 42 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Bachelor | 8 | 17% |
| Student > Ph. D. Student | 7 | 15% |
| Professor | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 24% |
| Medicine and Dentistry | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Immunology and Microbiology | 5 | 11% |
| Computer Science | 4 | 9% |
| Other | 3 | 7% |
| Unknown | 9 | 20% |