Dominance of Deleterious Alleles Controls the Response to a Population Bottleneck.
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Abstract | Population bottlenecks followed by re-expansions have been common throughout history of many populations. The response of alleles under selection to such demographic perturbations has been a subject of great interest in population genetics. On the basis of theoretical analysis and computer simulations, we suggest that this response qualitatively depends on dominance. The number of dominant or additive deleterious alleles per haploid genome is expected to be slightly increased following the bottleneck and re-expansion. In contrast, the number of completely or partially recessive alleles should be sharply reduced. Changes of population size expose differences between recessive and additive selection, potentially providing insight into the prevalence of dominance in natural populations. Specifically, we use a simple statistic, [Formula: see text], where xi represents the derived allele frequency, to compare the number of mutations in different populations, and detail its functional dependence on the strength of selection and the intensity of the population bottleneck. We also provide empirical evidence showing that gene sets associated with autosomal recessive disease in humans may have a BR indicative of recessive selection. Together, these theoretical predictions and empirical observations show that complex demographic history may facilitate rather than impede inference of parameters of natural selection. |
Year of Publication | 2015
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Journal | PLoS Genet
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Volume | 11
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Issue | 8
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Pages | e1005436
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Date Published | 2015 Aug
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ISSN | 1553-7404
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URL | |
DOI | 10.1371/journal.pgen.1005436
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PubMed ID | 26317225
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PubMed Central ID | PMC4552954
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Grant list | K99 HG007229 / HG / NHGRI NIH HHS / United States
R01 GM100233 / GM / NIGMS NIH HHS / United States
R00 HG007229 / HG / NHGRI NIH HHS / United States
HG006399 / HG / NHGRI NIH HHS / United States
R01 GM078598 / GM / NIGMS NIH HHS / United States
Howard Hughes Medical Institute / United States
R01 GM105857 / GM / NIGMS NIH HHS / United States
R01 MH101244 / MH / NIMH NIH HHS / United States
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