Evidence map›Paper›PMID 29223971›Full record

ArticleGenetics2018

Keeping Pace with the Red Queen: Identifying the Genetic Basis of Susceptibility to Infectious Disease.

Ailene MacPherson, Sarah P Otto, Scott L Nuismer

Abstract read
In one paragraph

Article in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022
    Review
  8. Review
  9. Review
  10. Article
  11. Genomics of sorghum local adaptation to a parasitic plant.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Review
  13. 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

3 authors.

Ailene MacPhersonDepartment of Zoology, University of British Columbia, Vancouver, V6T 1Z4, Canada amacp@zoology.ubc.ca.
Sarah P OttoDepartment of Zoology, University of British Columbia, Vancouver, V6T 1Z4, Canada.ORCID 0000-0003-3042-0818
Scott L NuismerDepartment of Biological Sciences, University of Idaho, Moscow, Idaho 83844.ORCID 0000-0001-9817-0056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies are widely used to identify "disease genes" conferring resistance/susceptibility to infectious diseases. Using a combination of mathematical models and simulations, we demonstrate that genetic interactions between hosts and parasites [genotype-by-genotype (G × G) interactions] can drastically affect the results of these association scans and hamper our ability to detect genetic variation in susceptibility. When hosts and parasites coevolve, these G × G interactions often make genome-wide association studies unrepeatable over time or across host populations. Reanalyzing previously published data on

Indexed as

Genetic Predisposition to DiseaseModels, GeneticAlgorithmsCommunicable DiseasesGenome-Wide Association StudyHost-Parasite InteractionsHost-Pathogen InteractionsHumansDaphnia magnagenetic architecture of resistanceGWAShost–parasite coevolutionPastueria ramosa

Identifiers

PMID29223971
PMCPMC5788537

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.