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Genetic Predisposition to Pass the Standard SICCT Test for Bovine Tuberculosis in British Cattle

Overview of attention for article published in PLOS ONE, March 2013
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Title
Genetic Predisposition to Pass the Standard SICCT Test for Bovine Tuberculosis in British Cattle
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058245
Pubmed ID
Authors

William Amos, Ellen Brooks-Pollock, Ruth Blackwell, Erin Driscoll, Martha Nelson-Flower, Andrew J. K. Conlan

Abstract

Bovine tuberculosis (bTB) imposes an important financial burden on the British cattle industry, yet despite intense efforts to control its spread, incidence is currently rising. Surveillance for bTB is based on a skin test that measures an immunological response to tuberculin. Cattle that fail the test are classified as "reactors" and slaughtered. Recent studies have identified genetic markers associated with the reaction of cattle to the tuberculin test. At marker INRA111 a relatively common '22' genotype occurs significantly more frequently in non-reactor cattle. Here we test the possibility that the putative protective '22' genotype does not confer resistance but instead causes cattle that carry it to react less strongly to the prescribed test, and hence avoid slaughter, potentially even though they are infected. We show that, after controlling for age and breed, '22' cattle react less strongly to the immunological challenge and may therefore be less likely to be classified as a reactor. These results highlight the potential discrepancy between infection and test status and imply that the effectiveness of the test-and-slaughter policy may be being compromised by selection for cattle that are genetically predisposed to react less strongly to tuberculin.

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Geographical breakdown

Country Count As %
United Kingdom 5 7%
United States 1 1%
Argentina 1 1%
Brazil 1 1%
Unknown 63 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 10 14%
Student > Master 7 10%
Student > Bachelor 6 8%
Student > Postgraduate 6 8%
Other 12 17%
Unknown 13 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 25%
Veterinary Science and Veterinary Medicine 16 23%
Medicine and Dentistry 8 11%
Mathematics 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 6 8%
Unknown 14 20%