Evidence map›Paper›PMID 33665563›Full record

ArticleiScience2021

Zhongshan Cheng, Michael Vermeulen, Micheal Rollins-Green, Brian DeVeale, Tomas Babak

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Using evolutionary constraint to define novel candidate driver genes in medulloblastoma.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Microbiota-Liver Diseases Interactions.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Article
  8. 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 2 institutions in 2 countries.

Zhongshan ChengDepartment of Biology, Queen's University, Kingston, ON K7L 3N6, Canada.
Michael VermeulenDepartment of Biology, Queen's University, Kingston, ON K7L 3N6, Canada.
Micheal Rollins-GreenDepartment of Biology, Queen's University, Kingston, ON K7L 3N6, Canada.
Brian DeVealeThe Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Center for Reproductive Sciences, University of California, San Francisco, San Francisco, CA 94143, USA.
Tomas BabakDepartment of Biology, Queen's University, Kingston, ON K7L 3N6, Canada.
Queen's University · CAUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the recent availability of complete genome sequences of tumors from thousands of patients, isolating disease-causing (driver) non-coding mutations from the plethora of somatic variants remains challenging, and only a handful of validated examples exist. By integrating whole-genome sequencing, genetic data, and allele-specific gene expression from TCGA, we identified 320 somatic non-coding mutations that affect gene expression in

Indexed as

Cancer Systems BiologyGeneticsGenomics

Identifiers

PMID33665563
PMCPMC7903341
OpenAlexW3127606755

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.