Evidence map›Paper›PMID 26781813›Full record

ReviewNature reviews. Genetics2016

Role of non-coding sequence variants in cancer.

Ekta Khurana, Yao Fu, Dimple Chakravarty, Francesca Demichelis, Mark A Rubin, Mark Gerstein

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 288 papers.

0numbers the graph read from it
0cells of the map it votes in
288citing papers in PubMed
28.7field-weighted citation impact, top 1% 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

288 citing papers in PubMed, 499 citations in OpenAlex.

  1. Article
  2. Review
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  4. Disruption of CTCF binding by germline non-coding variants inmedRxiv : the preprint server for health sciences · 2026
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228 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 3 institutions in 2 countries.

Ekta KhuranaMeyer Cancer Center, Weill Cornell Medical College, New York, New York 10065, USA.
Yao FuBina Technologies, Roche Sequencing, Redwood City, California 94065, USA.
Dimple ChakravartyInstitute for Precision Medicine, Weill Cornell Medical College, New York, New York 10065, USA.
Francesca DemichelisInstitute for Precision Medicine, Weill Cornell Medical College, New York, New York 10065, USA.
Mark A RubinMeyer Cancer Center, Weill Cornell Medical College, New York, New York 10065, USA.
Mark GersteinProgram in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA.
Cornell University · USUniversity of Trento · ITYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with cancer carry somatic sequence variants in their tumour in addition to the germline variants in their inherited genome. Although variants in protein-coding regions have received the most attention, numerous studies have noted the importance of non-coding variants in cancer. Moreover, the overwhelming majority of variants, both somatic and germline, occur in non-coding portions of the genome. We review the current understanding of non-coding variants in cancer, including the great diversity of the mutation types--from single nucleotide variants to large genomic rearrangements--and the wide range of mechanisms by which they affect gene expression to promote tumorigenesis, such as disrupting transcription factor-binding sites or functions of non-coding RNAs. We highlight specific case studies of somatic and germline variants, and discuss how non-coding variants can be interpreted on a large-scale through computational and experimental methods.

Indexed as

Genetic VariationRNA, UntranslatedGene Expression Regulation, NeoplasticGenome-Wide Association StudyGenomic InstabilityGerm-Line MutationHumansNeoplasmsRNA, Untranslated

Identifiers

PMID26781813
OpenAlexW2270152626

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.