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Dryad

Data from: Limited role of generation time changes in driving the evolution of the mutation spectrum in humans

Cite this dataset

Gao, Ziyue et al. (2023). Data from: Limited role of generation time changes in driving the evolution of the mutation spectrum in humans [Dataset]. Dryad. https://doi.org/10.6078/D19B0H

Abstract

Recent studies have suggested that the human germline mutation rate and spectrum evolve rapidly. Variation in generation time has been linked to these changes, though its contribution remains unclear. We develop a framework to characterize temporal changes in polymorphisms within and between populations, while controlling for the effects of natural selection and biased gene conversion. Application to the 1000 Genomes Project dataset reveals multiple independent changes that arose after the split of continental groups, including a previously reported, transient elevation in TCC >TTC mutations in Europeans and novel signals of divergence in C>G and T>A mutation rates among population samples. We also find a significant difference between groups sampled in and outside of Africa, in old T>C polymorphisms that predate the out-of-Africa migration. This surprising signal is driven by TpG >CpG mutations, and stems in part from mis--polarized CpG transitions, which are more likely to undergo recurrent mutations. Finally, by relating the mutation spectrum of polymorphisms to parental age effects on de novo mutations, we show that plausible changes in the generation time cannot explain the patterns observed for different mutation types jointly. Thus, other factors genetic modifiers or environmental exposures must have had a non-negligible impact on the human mutation landscape.

Methods

Relate output for SNPs in commonly accessible regions with additional annotation (one file for each population of YRI, LWK, CEU, TSI, CHB, JPT).

Funding

National Institute of General Medical Sciences, Award: R35GM142978

National Institute of General Medical Sciences, Award: GM122975

National Institute of General Medical Sciences, Award: R35GM146810

Alfred P. Sloan Foundation, Award: FG-2019-11943

National Science Foundation, Award: DGE 2146752

Alfred P. Sloan Foundation, Award: FG-2021-15702