Refined Genetic Maps Reveal Sexual Dimorphism in Human Meiotic Recombination at Multiple Scales
Overview
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In humans, males have lower recombination rates than females over the majority of the genome, but the opposite is usually true near the telomeres. These broad-scale differences have been known for decades, yet little is known about differences at the fine scale. By combining data sets, we have collected recombination events from over 100,000 meioses and have constructed sex-specific genetic maps at a previously unachievable resolution. Here we show that, although a substantial fraction of the genome shows some degree of sexually dimorphic recombination, the vast majority of hotspots are shared between the sexes, with only a small number of putative sex-specific hotspots. Wavelet analysis indicates that most of the differences can be attributed to the fine scale, and that variation in rate between the sexes can mostly be explained by differences in hotspot magnitude, rather than location. Nonetheless, known recombination-associated genomic features, such as THE1B repeat elements, show systematic differences between the sexes.
Tillmar A, Kling D Genes (Basel). 2025; 16(2).
PMID: 40004443 PMC: 11855180. DOI: 10.3390/genes16020114.
Multiple-testing corrections in selection scans using identity-by-descent segments.
Temple S, Browning S bioRxiv. 2025; .
PMID: 39975073 PMC: 11838353. DOI: 10.1101/2025.01.29.635528.
Complete human recombination maps.
Palsson G, Hardarson M, Jonsson H, Steinthorsdottir V, Stefansson O, Eggertsson H Nature. 2025; .
PMID: 39843742 DOI: 10.1038/s41586-024-08450-5.
Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.
Freudiger A, Jovanovic V, Huang Y, Snyder-Mackler N, Conrad D, Miller B Proc Natl Acad Sci U S A. 2025; 122(3):e2401106122.
PMID: 39808663 PMC: 11760927. DOI: 10.1073/pnas.2401106122.
A pedigree-based map of crossovers and non-crossovers in aye-ayes ().
Versoza C, Lloret-Villas A, Jensen J, Pfeifer S bioRxiv. 2024; .
PMID: 39605366 PMC: 11601232. DOI: 10.1101/2024.11.08.622675.