Evidence map›Paper›PMID 23554880›Full record

ArticlePloS one2013

Genetic predisposition to pass the standard SICCT test for bovine tuberculosis in British cattle.

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

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Studies on the immunological biomarkers of bovine tuberculosis in naturally infected cattle.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
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  11. Review
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  14. Statement on a conceptual framework for bovine tuberculosis.EFSA journal. European Food Safety Authority · 2014
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

William AmosDepartment of Zoology, Cambridge University, Cambridge, Cambridgeshire, United Kingdom. w.amos@zoo.cam.ac.uk
Ellen Brooks-Pollock
Ruth Blackwell
Erin Driscoll
Martha Nelson-Flower
Andrew J K Conlan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Animal HusbandryBreedingGenetic Predisposition to DiseaseGenotypeAnimalsCattleEnglandFemaleGenetic MarkersMaleTuberculosis, BovineGenetic Markers

Identifiers

PMID23554880
PMCPMC3605902

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.