Evidence map›Paper›PMID 30651590›Full record

ArticleHeredity2019

Enhancing genetic disease control by selecting for lower host infectivity and susceptibility.

Smaragda Tsairidou, O Anacleto, J A Woolliams, A Doeschl-Wilson

Abstract read
In one paragraph

Article in Heredity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  16. The economic value of RGenetics, selection, evolution : GSE · 2020
    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

4 authors.

Smaragda TsairidouThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, EH25 9RG, UK. Smaragda.Tsairidou@roslin.ed.ac.uk.ORCID http://orcid.org/0000-0003-0792-9421
O AnacletoThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, EH25 9RG, UK.
J A WoolliamsThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, EH25 9RG, UK.
A Doeschl-WilsonThe Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh, EH25 9RG, UK.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20211554Biotechnology and Biological Sciences Research Council BB/T004401/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/J004235/1 (ISP1)RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/P013740/1 (ISP2)
6 · The paper itself

Abstract

Infectious diseases have a huge impact on animal health, production and welfare, and human health. Understanding the role of host genetics in disease spread is important for developing disease control strategies that efficiently reduce infection incidence and risk of epidemics. While heritable variation in disease susceptibility has been targeted in livestock breeding, emerging evidence suggests that there is additional genetic variation in host infectivity, but the potential benefits of including infectivity into selection schemes are currently unknown. A Susceptible-Infected-Recovered epidemiological model incorporating polygenic genetic variation in both susceptibility and infectivity was combined with quantitative genetics selection theory to assess the non-linear impact of genetic selection on field measures of epidemic risk and severity. Response to 20 generations of selection was calculated in large simulated populations, exploring schemes differing in accuracy and intensity. Assuming moderate genetic variation in both traits, 50% selection on susceptibility required seven generations to reduce the basic reproductive number R

Indexed as

Genetic Predisposition to DiseaseAnimalsBreedingFemaleGenetic Diseases, InbornHuman GeneticsHumansLivestockMaleModels, GeneticPhenotypeQuantitative Trait, Heritable

Identifiers

PMID30651590
PMCPMC6781107

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.