Evidence map›Paper›PMID 33976227›Full record

ArticleNature communications2021

Molecular evolution and the decline of purifying selection with age.

Changde Cheng, Mark Kirkpatrick

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. Article
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  7. Review
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  10. The evolution of aging and lifespan.Trends in genetics : TIG · 2023
    Review
  11. Article
  12. Article
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  16. Review
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

2 authors at 2 institutions in 1 country.

Changde ChengDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Mark KirkpatrickDepartment of Integrative Biology, University of Texas, Austin, TX, USA. kirkp@mail.utexas.edu.ORCID 0000-0002-0039-4172
St. Jude Children's Research Hospital · USThe University of Texas at Austin · US

Funding

Genomic causes and consequences of sexually antagonistic selectionR01GM116853 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI KIRKPATRICK, MARK · 2015 to 2022
$3.5M
NIGMS NIH HHS R01 GM116853
6 · The paper itself

Abstract

Life history theory predicts that the intensity of selection declines with age, and this trend should impact how genes expressed at different ages evolve. Here we find consistent relationships between a gene's age of expression and patterns of molecular evolution in two mammals (the human Homo sapiens and the mouse Mus musculus) and two insects (the malaria mosquito Anopheles gambiae and the fruit fly Drosophila melanogaster). When expressed later in life, genes fix nonsynonymous mutations more frequently, are more polymorphic for nonsynonymous mutations, and have shorter evolutionary lifespans, relative to those expressed early. The latter pattern is explained by a simple evolutionary model. Further, early-expressed genes tend to be enriched in similar gene ontology terms across species, while late-expressed genes show no such consistency. In humans, late-expressed genes are more likely to be linked to cancer and to segregate for dominant disease-causing mutations. Last, the effective strength of selection (N

Indexed as

Evolution, MolecularSelection, GeneticAgingAlgorithmsAnimalsAnophelesDrosophila melanogasterGene ExpressionGenetic Predisposition to DiseaseHumansLongevityMiceModels, GeneticMutationNeoplasmsSpecies Specificity

Identifiers

PMID33976227
PMCPMC8113359
OpenAlexW3163615957

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.