Evidence map›Paper›PMID 28400513›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Determining the factors driving selective effects of new nonsynonymous mutations.

Christian D Huber, Bernard Y Kim, Clare D Marsden, Kirk E Lohmueller

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
–field-weighted citation impact
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

109 citing papers in PubMed.

  1. Article
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  4. Evolution of CTCF binding sites in the human genome.Molecular biology and evolution · 2026
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  10. ThebioRxiv : the preprint server for biology · 2026
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  19. Gene age shapes functional and evolutionary properties of theProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. A model for background selection in non-equilibrium populations.bioRxiv : the preprint server for biology · 2025
    Article

49 more citing papers are in PubMed but not listed here.

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

4 authors.

Christian D HuberDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095; klohmueller@ucla.edu chuber53@ucla.edu.
Bernard Y KimDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095.
Clare D MarsdenDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095.
Kirk E LohmuellerDepartment of Ecology and Evolutionary Biology, University of California, Los Angeles, CA 90095; klohmueller@ucla.edu chuber53@ucla.edu.

Funding

Population genomics of the selective effects of new mutationsR35GM119856 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOHMUELLER, KIRK · 2016 to 2025
$3.4M
NIGMS NIH HHS R35 GM119856
6 · The paper itself

Abstract

The distribution of fitness effects (DFE) of new mutations plays a fundamental role in evolutionary genetics. However, the extent to which the DFE differs across species has yet to be systematically investigated. Furthermore, the biological mechanisms determining the DFE in natural populations remain unclear. Here, we show that theoretical models emphasizing different biological factors at determining the DFE, such as protein stability, back-mutations, species complexity, and mutational robustness make distinct predictions about how the DFE will differ between species. Analyzing amino acid-changing variants from natural populations in a comparative population genomic framework, we find that humans have a higher proportion of strongly deleterious mutations than

Indexed as

Models, GeneticAdaptation, PhysiologicalAnimalsDrosophila melanogasterEvolution, MolecularGenetic FitnessHumansMiceMutationSelection, GeneticSpecies SpecificityYeastsdistribution of fitness effectsFisher’s geometrical modelmutational robustnessPoisson random fieldprotein stability

Identifiers

PMID28400513
PMCPMC5410820

What OpenQuestion holds

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Registered trials

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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.