On the prospect of achieving accurate joint estimation of selection with population history

Parul Johri; Adam Eyre-Walker; Ryan N. Gutenkunst; Kirk E. Lohmueller; Jeffrey D. Jensen

doi:10.1093/gbe/evac088

On the prospect of achieving accurate joint estimation of selection with population history

Parul Johri, Adam Eyre-Walker, Ryan N. Gutenkunst, Kirk E. Lohmueller, Jeffrey D. Jensen

Life Sciences, School of (SOLS)

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

As both natural selection and population history can affect genome-wide patterns of variation, disentangling the contributions of each has remained as a major challenge in population genetics. We here discuss historical and recent progress towards this goal-highlighting theoretical and computational challenges that remain to be addressed, as well as inherent difficulties in dealing with model complexity and model violations-and offer thoughts on potentially fruitful next steps.

Original language	English (US)
Article number	evac088
Journal	Genome biology and evolution
Volume	14
Issue number	7
DOIs	https://doi.org/10.1093/gbe/evac088
State	Published - Jul 1 2022

Keywords

background selection
demography
genetic hitchhiking
natural selection
population history
statistical inference

ASJC Scopus subject areas

General Medicine

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10.1093/gbe/evac088

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AU - Lohmueller, Kirk E.

AU - Jensen, Jeffrey D.

N1 - Publisher Copyright: © The Author(s) 2022.

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N2 - As both natural selection and population history can affect genome-wide patterns of variation, disentangling the contributions of each has remained as a major challenge in population genetics. We here discuss historical and recent progress towards this goal-highlighting theoretical and computational challenges that remain to be addressed, as well as inherent difficulties in dealing with model complexity and model violations-and offer thoughts on potentially fruitful next steps.

AB - As both natural selection and population history can affect genome-wide patterns of variation, disentangling the contributions of each has remained as a major challenge in population genetics. We here discuss historical and recent progress towards this goal-highlighting theoretical and computational challenges that remain to be addressed, as well as inherent difficulties in dealing with model complexity and model violations-and offer thoughts on potentially fruitful next steps.

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KW - statistical inference

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On the prospect of achieving accurate joint estimation of selection with population history

Abstract

Keywords

ASJC Scopus subject areas

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