Evidence map›Paper›PMID 31004148›Full record

ArticleMolecular biology and evolution2019

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

Donate Weghorn, Daniel J Balick, Christopher Cassa, Jack A Kosmicki, Mark J Daly, David R Beier, Shamil R Sunyaev

Open access · greenAbstract read
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  6. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
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  11. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  12. Article
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  17. A deep catalog of protein-coding variation in 985,830 individuals.bioRxiv : the preprint server for biology · 2023
    Article
  18. Article
  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Donate WeghornDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Daniel J BalickDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Christopher CassaDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Jack A KosmickiAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Mark J DalyAnalytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
David R BeierCenter for Developmental Biology and Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA.
Shamil R SunyaevDivision of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Brigham and Women's Hospital · USHarvard University · USSeattle Children's Hospital · US

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Statistical methods for studies of rare variantsR01MH101244 · NIMH · HARVARD MEDICAL SCHOOL · PI Benjamin Michael Neale, ALKES L PRICE · 2013 to 2026
$9.4M
The origin, the function and the phenotypic impact of human allelesR35GM127131 · NIGMS · HARVARD MEDICAL SCHOOL · PI SHAMIL SUNYAEV · 2018 to 2026
$8.1M
Mutagenesis and Murine Embyonic DevelopmentR01HD036404 · NICHD · SEATTLE CHILDREN'S HOSPITAL · PI BEIER, DAVID R. · 1998 to 2020
$8.1M
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U01 HG009088NICHD NIH HHS R01 HD036404NIGMS NIH HHS R35 GM127131NIMH NIH HHS R01 MH101244
6 · The paper itself

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.

Indexed as

Codon, NonsenseGenetic DriftModels, GeneticSelection, GeneticHumansPopulation GrowthCodon, Nonsensegenetic driftprotein-truncating variantsselection inference

Identifiers

PMID31004148
PMCPMC6738481
OpenAlexW2950661485

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.