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Similarity in Recombination Rate Estimates Highly Correlates with Genetic Differentiation in Humans

Authors: Laayouni, Hafid, 1968-; Montanucci, Ludovica, 1978-; Sikora, Martin, 1976-; Melé Messeguer, Marta, 1982-; Dall'Olio, Giovanni Marco, 1983-; Lorente-Galdós, Belén, 1981-; McGee, Kate M; +8 Authors

Similarity in Recombination Rate Estimates Highly Correlates with Genetic Differentiation in Humans

Abstract

Recombination varies greatly among species, as illustrated by the poor conservation of the recombination landscape between humans and chimpanzees. Thus, shorter evolutionary time frames are needed to understand the evolution of recombination. Here, we analyze its recent evolution in humans. We calculated the recombination rates between adjacent pairs of 636,933 common single-nucleotide polymorphism loci in 28 worldwide human populations and analyzed them in relation to genetic distances between populations. We found a strong and highly significant correlation between similarity in the recombination rates corrected for effective population size and genetic differentiation between populations. This correlation is observed at the genome-wide level, but also for each chromosome and when genetic distances and recombination similarities are calculated independently from different parts of the genome. Moreover, and more relevant, this relationship is robustly maintained when considering presence/absence of recombination hotspots. Simulations show that this correlation cannot be explained by biases in the inference of recombination rates caused by haplotype sharing among similar populations. This result indicates a rapid pace of evolution of recombination, within the time span of differentiation of modern humans.

Country
Spain
Keywords

Population Density, Recombination, Genetic, Science, Q, R, Genètica evolutiva, Polymorphism, Single Nucleotide, Genètica de poblacions humanes, Genetics, Population, Gene Frequency, Medicine, Chromosomes, Human, Humans, Computer Simulation, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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15
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Top 10%
44
40
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