Evidence map›Paper›PMID 31488516›Full record

ArticleGenetics2019

Comparison of the Full Distribution of Fitness Effects of New Amino Acid Mutations Across Great Apes.

David Castellano, Moisès Coll Macià, Paula Tataru, Thomas Bataillon, Kasper Munch

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Article
  3. Nucleotide diversity is a poor predictor of short-term adaptive potential.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Review
  10. Article
  11. Article
  12. Article
  13. Accessible, realistic genome simulation with selection using stdpopsim.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Whole-genome duplication increases genetic diversity and load in outcrossingProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Revisiting Dominance in Population Genetics.Genome biology and evolution · 2024
    Review
  20. Article
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

5 authors at 1 institution in 1 country.

David CastellanoBioinformatics Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark david.castellano@crg.eu.ORCID 0000-0001-8778-6007
Moisès Coll MaciàBioinformatics Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark.ORCID 0000-0002-7328-3553
Paula TataruBioinformatics Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark.ORCID 0000-0001-8493-4764
Thomas BataillonBioinformatics Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark.ORCID 0000-0002-4730-2538
Kasper MunchBioinformatics Research Centre, Aarhus University, DK-8000 Aarhus C, Denmark.ORCID 0000-0003-2880-6252
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution of fitness effects (DFE) is central to many questions in evolutionary biology. However, little is known about the differences in DFE between closely related species. We use >9000 coding genes orthologous one-to-one across great apes, gibbons, and macaques to assess the stability of the DFE across great apes. We use the unfolded site frequency spectrum of polymorphic mutations (

Indexed as

Genetic FitnessMutation, MissenseSelection, GeneticAnimalsEpistasis, GeneticEvolution, MolecularHominidaebeneficial mutationscompensatory evolutiondeleterious mutationsDFEeffective population sizeepistasis

Identifiers

PMID31488516
PMCPMC6827385
OpenAlexW2972081826

What OpenQuestion holds

Textmetadata
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.