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Detection of sexually antagonistic transmission distortions in trio datasets

Elise A. Lucotte, Clara Albiñana, Romain Laurent, Claude Bhérer, Genome of the Netherland Consortium, Thomas Bataillon, Bruno Toupance
doi: https://doi.org/10.1101/2020.09.11.293191
Elise A. Lucotte
1Bioinformatic Research Center, Aarhus University, 8000, Denmark
2Unité Eco-anthropologie (EA), Muséum national d’histoire naturelle, CNRS, Université de Paris, 17 place du Trocadéro 75016 Paris, France
3Cancer Epidemiology: Gene and Environment INSERM U1018
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  • For correspondence: elucotte@gmail.com
Clara Albiñana
1Bioinformatic Research Center, Aarhus University, 8000, Denmark
4National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus BSS, Aarhus University, Aarhus, Denmark
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Romain Laurent
2Unité Eco-anthropologie (EA), Muséum national d’histoire naturelle, CNRS, Université de Paris, 17 place du Trocadéro 75016 Paris, France
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Claude Bhérer
5Department of Human Genetics, Faculty of Medicine, McGill University
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Thomas Bataillon
1Bioinformatic Research Center, Aarhus University, 8000, Denmark
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Bruno Toupance
2Unité Eco-anthropologie (EA), Muséum national d’histoire naturelle, CNRS, Université de Paris, 17 place du Trocadéro 75016 Paris, France
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ABSTRACT

Sex dimorphisms are widespread in animals and plants, for morphological as well as physiological traits. Understanding the genetic basis of sex dimorphism and its evolution is crucial for understanding biological differences between the sexes. Genetic variants with sex-antagonistic effects on fitness are expected to segregate in populations at the early phases of sexual dimorphism emergence. Detecting such variants is notoriously difficult, and the few genome-scan methods employed so far have limited power and little specificity. Here, we propose a new framework to detect a signature of sexually antagonistic selection. We rely on trio datasets where sex-biased transmission distortions can be directly tracked from parents to offspring, and allows identifying signal of sexually antagonistic transmission distortions in genomic regions. We report the genomic location and recombination pattern surrounding 66 regions detected as potentially under sexually antagonist selection. We find an enrichment of genes associated with embryonic development within these regions. Last, we highlight two candidates regions for sexually antagonistic selection in humans.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 11, 2020.
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Detection of sexually antagonistic transmission distortions in trio datasets
Elise A. Lucotte, Clara Albiñana, Romain Laurent, Claude Bhérer, Genome of the Netherland Consortium, Thomas Bataillon, Bruno Toupance
bioRxiv 2020.09.11.293191; doi: https://doi.org/10.1101/2020.09.11.293191
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Detection of sexually antagonistic transmission distortions in trio datasets
Elise A. Lucotte, Clara Albiñana, Romain Laurent, Claude Bhérer, Genome of the Netherland Consortium, Thomas Bataillon, Bruno Toupance
bioRxiv 2020.09.11.293191; doi: https://doi.org/10.1101/2020.09.11.293191

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