Evidence map›Paper›PMID 29562350›Full record

ArticleNucleic acids research2018

A comprehensive catalog of predicted functional upstream open reading frames in humans.

Patrick McGillivray, Russell Ault, Mayur Pawashe, Robert Kitchen, Suganthi Balasubramanian, Mark Gerstein

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
4.5field-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

67 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. An upstream open reading frame represses translation of the neuronal potassium channel KCNQ2.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Circadian Control of Protein Synthesis.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  12. Article
  13. Ensembl 2025.Nucleic acids research · 2025
    Article
  14. Review
  15. CytosolicProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Stress response regulation of mRNA translation: Implications for antioxidant enzyme expression in cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Review
  17. Review
  18. Review
  19. Article
  20. Review

7 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

6 authors at 1 institution in 1 country.

Patrick McGillivrayMolecular Biophysics and Biochemistry Department, Yale University, New Haven, CT 06520, USA.
Russell AultMolecular Biophysics and Biochemistry Department, Yale University, New Haven, CT 06520, USA.
Mayur PawasheMolecular Biophysics and Biochemistry Department, Yale University, New Haven, CT 06520, USA.
Robert KitchenProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Suganthi BalasubramanianMolecular Biophysics and Biochemistry Department, Yale University, New Haven, CT 06520, USA.
Mark GersteinMolecular Biophysics and Biochemistry Department, Yale University, New Haven, CT 06520, USA.
Yale University · US

Funding

Prioritizing rare variants associated with cancer using non-coding annotationR01HG008126 · NHGRI · YALE UNIVERSITY · PI GERSTEIN, MARK BENDER · 2016 to 2018
$2.4M
NHGRI NIH HHS R01 HG008126
6 · The paper itself

Abstract

Upstream open reading frames (uORFs) latent in mRNA transcripts are thought to modify translation of coding sequences by altering ribosome activity. Not all uORFs are thought to be active in such a process. To estimate the impact of uORFs on the regulation of translation in humans, we first circumscribed the universe of all possible uORFs based on coding gene sequence motifs and identified 1.3 million unique uORFs. To determine which of these are likely to be biologically relevant, we built a simple Bayesian classifier using 89 attributes of uORFs labeled as active in ribosome profiling experiments. This allowed us to extrapolate to a comprehensive catalog of likely functional uORFs. We validated our predictions using in vivo protein levels and ribosome occupancy from 46 individuals. This is a substantially larger catalog of functional uORFs than has previously been reported. Our ranked list of likely active uORFs allows researchers to test their hypotheses regarding the role of uORFs in health and disease. We demonstrate several examples of biological interest through the application of our catalog to somatic mutations in cancer and disease-associated germline variants in humans.

Indexed as

Bayes TheoremComputational BiologyHumansMutationOpen Reading FramesProtein BiosynthesisRibosomesRNA, MessengerRNA, Messenger

Identifiers

PMID29562350
PMCPMC6283423
OpenAlexW2792251295

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.