Evidence map›Paper›PMID 34796478›Full record

ArticleEvolution; international journal of organic evolution2022

Genetic diversity and disease: The past, present, and future of an old idea.

Amanda Kyle Gibson

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  8. Review
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  10. Article
  11. Review
  12. MHC Diversity Across Time and Space.Ecology and evolution · 2025
    Review
  13. Article
  14. Article
  15. 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

1 author.

Amanda Kyle GibsonDepartment of Biology, University of Virginia, Charlottesville, Virginia, 22903.ORCID 0000-0002-0867-4953

Funding

A general test of the genetic basis of parasite resistance across genetic and environmental contextsR35GM137975 · NIGMS · UNIVERSITY OF VIRGINIA · PI GIBSON, AMANDA K · 2020 to 2024
$2.1M
NIGMS NIH HHS R35 GM137975
6 · The paper itself

Abstract

Why do infectious diseases erupt in some host populations and not others? This question has spawned independent fields of research in evolution, ecology, public health, agriculture, and conservation. In the search for environmental and genetic factors that predict variation in parasitism, one hypothesis stands out for its generality and longevity: genetically homogeneous host populations are more likely to experience severe parasitism than genetically diverse populations. In this perspective piece, I draw on overlapping ideas from evolutionary biology, agriculture, and conservation to capture the far-reaching implications of the link between genetic diversity and disease. I first summarize the development of this hypothesis and the results of experimental tests. Given the convincing support for the protective effect of genetic diversity, I then address the following questions: (1) Where has this idea been put to use, in a basic and applied sense, and how can we better use genetic diversity to limit disease spread? (2) What new hypotheses does the established disease-diversity relationship compel us to test? I conclude that monitoring, preserving, and augmenting genetic diversity is one of our most promising evolutionarily informed strategies for buffering wild, domesticated, and human populations against future outbreaks.

Indexed as

AgricultureEcologyGenetic VariationHost-Parasite InteractionsHumansCrop diseasegenetic diversitygenetic erosionhost heterogeneityhost-parasite interactionsinfectious diseaseintraspecific variationmonoculture effectRed Queenvarietal mixtures

Identifiers

PMID34796478
PMCPMC9064374

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.