Evidence map›Paper›PMID 34723381›Full record

SynthesisEvolution; international journal of organic evolution2021

Systematic review reveals multiple sexually antagonistic polymorphisms affecting human disease and complex traits.

Jon Alexander Harper, Tim Janicke, Edward H Morrow

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Evolution; international journal of organic evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The battle of the sexes in humans is highly polygenic.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. On the resolution of sexual conflict over shared traits.Proceedings. Biological sciences · 2024
    Review
  7. Article
  8. Review
  9. 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 at 3 institutions in 4 countries.

Jon Alexander HarperEvolution, Behaviour and Environment Group, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, United Kingdom.ORCID 0000-0002-1765-9990
Tim JanickeCentre d'Écologie Fonctionnelle et Évolutive, UMR 5175, CNRS, Université de Montpellier, École Pratique des Hautes Études, Montpellier, 34293, France.
Edward H MorrowDepartment of Environmental and Life Sciences, Karlstad University, Karlstad, SE-65188, Sweden.ORCID 0000-0002-1853-7469
Centre National de la Recherche Scientifique · FRKarlstad University · SEUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An evolutionary model for sex differences in disease risk posits that alleles conferring higher risk in one sex may be protective in the other. These sexually antagonistic (SA) alleles are predicted to be maintained at frequencies higher than expected under purifying selection against unconditionally deleterious alleles, but there are apparently no examples in humans. Discipline-specific terminology, rather than a genuine lack of such alleles, could explain this disparity. We undertook a two-stage review of evidence for SA polymorphisms in humans using search terms from (i) evolutionary biology and (ii) biomedicine. Although the first stage returned no eligible studies, the second revealed 51 genes with sex-opposite effects; 22 increased disease risk or severity in one sex but protected the other. Those with net positive effects occurred at higher frequencies. None were referred to as SA. Our review reveals significant communication barriers to fields as a result of discipline-specific terminology.

Indexed as

Multifactorial InheritanceSelection, GeneticAllelesBiological EvolutionFemaleHumansMalePolymorphism, GeneticEvolutionary genomicsfitnessselection-sexualsexual conflict

Identifiers

PMID34723381
PMCPMC9299215
OpenAlexW3209472210

What Socratic 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 Socratic graph.