Evidence map›Paper›PMID 32516569›Full record

ArticleAmerican journal of human genetics2020

Natural Selection Shapes Codon Usage in the Human Genome.

Ryan S Dhindsa, Brett R Copeland, Anthony M Mustoe, David B Goldstein

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. TRMT6/TRMT61A-mediated tRNA mCellular & molecular biology letters · 2026
    Article
  5. Review
  6. NSUN2-tRNACellular & molecular biology letters · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Codon Bias of theInternational journal of molecular sciences · 2024
    Article
  15. Comparative Analysis of Codon Usage Bias in SixInternational journal of molecular sciences · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Ryan S DhindsaInstitute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA; Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: rsd2135@cumc.columbia.edu.
Brett R CopelandInstitute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.
Anthony M MustoeVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
David B GoldsteinInstitute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA. Electronic address: dg2875@cumc.columbia.edu.
Columbia University Irving Medical Center · USBaylor College of Medicine · USColumbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synonymous codon usage has been identified as a determinant of translational efficiency and mRNA stability in model organisms and human cell lines. However, whether natural selection shapes human codon content to optimize translation efficiency is unclear. Furthermore, aside from those that affect splicing, synonymous mutations are typically ignored as potential contributors to disease. Using genetic sequencing data from nearly 200,000 individuals, we uncover clear evidence that natural selection optimizes codon content in the human genome. In deriving intolerance metrics to quantify gene-level constraint on synonymous variation, we discover that dosage-sensitive genes, DNA-damage-response genes, and cell-cycle-regulated genes are particularly intolerant to synonymous variation. Notably, we illustrate that reductions in codon optimality in BRCA1 can attenuate its function. Our results reveal that synonymous mutations most likely play an underappreciated role in human variation.

Indexed as

CodonCodon UsageEvolution, MolecularGenome, HumanHumansMutationRNA SplicingRNA StabilitySelection, GeneticCodoncodon optimalitycodon usageconservationconstraintintolerancepopulation geneticsRVISsynGERPsynonymous mutationssynRVIS

Identifiers

PMID32516569
PMCPMC7332603
OpenAlexW3033746727

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.