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Published on: June 21, 2018
Systematic review reveals multiple sexually antagonistic polymorphisms affecting human disease and complex traits
Jon Alexander Harper1, Tim Janicke2,3, Edward H Morrow4
1Evolution, Behaviour and Environment Group, School of Life Sciences, University of Sussex, Brighton, BN1 9QG, United Kingdom.
Sexually antagonistic alleles, which affect disease risk differently between sexes, are common in humans but often misidentified due to specialized terminology. This study highlights the need for interdisciplinary communication to recognize these important genetic factors.
Area of Science:
- Evolutionary biology
- Human genetics
- Disease risk
Background:
- Sexually antagonistic (SA) alleles are hypothesized to influence sex differences in disease susceptibility.
- These alleles may be protected from selection if they confer benefits in one sex, despite risks in the other.
- Previous research suggested a lack of SA alleles in humans, potentially due to terminology differences.
Purpose of the Study:
- To investigate the prevalence of SA polymorphisms in humans.
- To determine if discipline-specific terminology obscures the identification of SA alleles.
- To bridge communication gaps between evolutionary biology and biomedicine.
Main Methods:
- A two-stage literature review was conducted.
- Search terms were drawn from both evolutionary biology and biomedical fields.
- Genes with sex-opposite effects on disease risk or severity were identified.
Main Results:
- No studies were found using only evolutionary biology search terms.
- A review using biomedical terms identified 51 genes with sex-opposite effects.
- Of these, 22 genes showed opposing effects (risk in one sex, protection in the other); those with net positive effects were more frequent.
Conclusions:
- SA alleles are likely present in humans but are not recognized as such due to varied terminology.
- Interdisciplinary communication is crucial for accurate identification and study of SA genetic variants.
- This finding has implications for understanding sex differences in disease etiology and evolution.
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