Literature DB >> 31004148

Applicability of the Mutation-Selection Balance Model to Population Genetics of Heterozygous Protein-Truncating Variants in Humans.

Donate Weghorn1,2,3, Daniel J Balick1,2, Christopher Cassa1,2, Jack A Kosmicki4,5, Mark J Daly4,5, David R Beier6,7, Shamil R Sunyaev1,2.   

Abstract

The fate of alleles in the human population is believed to be highly affected by the stochastic force of genetic drift. Estimation of the strength of natural selection in humans generally necessitates a careful modeling of drift including complex effects of the population history and structure. Protein-truncating variants (PTVs) are expected to evolve under strong purifying selection and to have a relatively high per-gene mutation rate. Thus, it is appealing to model the population genetics of PTVs under a simple deterministic mutation-selection balance, as has been proposed earlier (Cassa et al. 2017). Here, we investigated the limits of this approximation using both computer simulations and data-driven approaches. Our simulations rely on a model of demographic history estimated from 33,370 individual exomes of the Non-Finnish European subset of the ExAC data set (Lek et al. 2016). Additionally, we compared the African and European subset of the ExAC study and analyzed de novo PTVs. We show that the mutation-selection balance model is applicable to the majority of human genes, but not to genes under the weakest selection.
© The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  genetic drift; protein-truncating variants; selection inference

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Year:  2019        PMID: 31004148      PMCID: PMC6738481          DOI: 10.1093/molbev/msz092

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  27 in total

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3.  The Distribution of Gene Frequencies in Populations.

Authors:  S Wright
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4.  Evolution in Mendelian Populations.

Authors:  S Wright
Journal:  Genetics       Date:  1931-03       Impact factor: 4.562

5.  Recent explosive human population growth has resulted in an excess of rare genetic variants.

Authors:  Alon Keinan; Andrew G Clark
Journal:  Science       Date:  2012-05-11       Impact factor: 47.728

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Authors:  Slavé Petrovski; Quanli Wang; Erin L Heinzen; Andrew S Allen; David B Goldstein
Journal:  PLoS Genet       Date:  2013-08-22       Impact factor: 5.917

7.  Mutation Rate Variation is a Primary Determinant of the Distribution of Allele Frequencies in Humans.

Authors:  Arbel Harpak; Anand Bhaskar; Jonathan K Pritchard
Journal:  PLoS Genet       Date:  2016-12-15       Impact factor: 5.917

8.  Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples.

Authors:  Jack A Kosmicki; Kaitlin E Samocha; Daniel P Howrigan; Stephan J Sanders; Kamil Slowikowski; Monkol Lek; Konrad J Karczewski; David J Cutler; Bernie Devlin; Kathryn Roeder; Joseph D Buxbaum; Benjamin M Neale; Daniel G MacArthur; Dennis P Wall; Elise B Robinson; Mark J Daly
Journal:  Nat Genet       Date:  2017-02-13       Impact factor: 38.330

9.  Accurate Non-parametric Estimation of Recent Effective Population Size from Segments of Identity by Descent.

Authors:  Sharon R Browning; Brian L Browning
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Authors:  Kaitlin E Samocha; Elise B Robinson; Stephan J Sanders; Christine Stevens; Aniko Sabo; Lauren M McGrath; Jack A Kosmicki; Karola Rehnström; Swapan Mallick; Andrew Kirby; Dennis P Wall; Daniel G MacArthur; Stacey B Gabriel; Mark DePristo; Shaun M Purcell; Aarno Palotie; Eric Boerwinkle; Joseph D Buxbaum; Edwin H Cook; Richard A Gibbs; Gerard D Schellenberg; James S Sutcliffe; Bernie Devlin; Kathryn Roeder; Benjamin M Neale; Mark J Daly
Journal:  Nat Genet       Date:  2014-08-03       Impact factor: 38.330

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  5 in total

Review 1.  Measuring intolerance to mutation in human genetics.

Authors:  Zachary L Fuller; Jeremy J Berg; Hakhamanesh Mostafavi; Guy Sella; Molly Przeworski
Journal:  Nat Genet       Date:  2019-04-08       Impact factor: 38.330

2.  Mutation saturation for fitness effects at human CpG sites.

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Journal:  Elife       Date:  2021-11-22       Impact factor: 8.140

3.  Reduced reproductive success is associated with selective constraint on human genes.

Authors:  Eugene J Gardner; Matthew D C Neville; Kaitlin E Samocha; Kieron Barclay; Martin Kolk; Mari E K Niemi; George Kirov; Hilary C Martin; Matthew E Hurles
Journal:  Nature       Date:  2022-03-23       Impact factor: 69.504

4.  Overcoming constraints on the detection of recessive selection in human genes from population frequency data.

Authors:  Daniel J Balick; Daniel M Jordan; Shamil Sunyaev; Ron Do
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5.  Extreme purifying selection against point mutations in the human genome.

Authors:  Noah Dukler; Mehreen R Mughal; Ritika Ramani; Yi-Fei Huang; Adam Siepel
Journal:  Nat Commun       Date:  2022-07-25       Impact factor: 17.694

  5 in total

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