Evidence map›Paper›PMID 21527777›Full record

ArticleGenetics2011

Implications of host genetic variation on the risk and prevalence of infectious diseases transmitted through the environment.

Andrea B Doeschl-Wilson, R Davidson, J Conington, T Roughsedge, M R Hutchings, B Villanueva

Abstract read
In one paragraph

Article in Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. A longitudinal molecular study of the ecology of malaria infections in free-ranging mandrills.International journal for parasitology. Parasites and wildlife · 2019
    Article
  12. Article
  13. Article
  14. Infectious Disease Risk in Dialysis Patients: A Transdisciplinary Approach.Canadian journal of kidney health and disease · 2019
    Review
  15. Article
  16. Can We Breed Cattle for Lower Bovine TB Infectivity?Frontiers in veterinary science · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Andrea B Doeschl-WilsonSustainable Livestock Systems Group, Scottish Agricultural College, Edinburgh, EH9 3JG, United Kingdom. andrea.wilson@roslin.ed.ac.uk
R Davidson
J Conington
T Roughsedge
M R Hutchings
B Villanueva

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Previous studies have shown that host genetic heterogeneity in the response to infectious challenge can affect the emergence risk and the severity of diseases transmitted through direct contact between individuals. However, there is substantial uncertainty about the degree and direction of influence owing to different definitions of genetic variation, most of which are not in line with the current understanding of the genetic architecture of disease traits. Also, the relevance of previous results for diseases transmitted through environmental sources is unclear. In this article a compartmental genetic-epidemiological model was developed to quantify the impact of host genetic diversity on epidemiological characteristics of diseases transmitted through a contaminated environment. The model was parameterized for footrot in sheep. Genetic variation was defined through continuous distributions with varying shape and degree of dispersion for different disease traits. The model predicts a strong impact of genetic heterogeneity on the disease risk and its progression and severity, as well as on observable host phenotypes, when dispersion in key epidemiological parameters is high. The impact of host variation depends on the disease trait for which variation occurs and on environmental conditions affecting pathogen survival. In particular, compared to homogeneous populations with the same average susceptibility, disease risk and severity are substantially higher in populations containing a large proportion of highly susceptible individuals, and the differences are strongest when environmental contamination is low. The implications of our results for the recording and analysis of disease data and for predicting response to selection are discussed.

Indexed as

Genetic VariationAlgorithmsAnimalsDichelobacter nodosusEnvironmentFoot RotGenetic Predisposition to DiseaseGenetics, PopulationGenotypeModels, GeneticModels, TheoreticalPhenotypePrevalenceProbabilityRisk FactorsSeverity of Illness Index

Identifiers

PMID21527777
PMCPMC3176547

What OpenQuestion holds

Textmetadata
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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.