Evidence map›Paper›PMID 25473424›Full record

ArticleGenome medicine2014

Enhancer variants: evaluating functions in common disease.

Olivia Corradin, Peter C Scacheri

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 5 pooled it
5.3field-weighted citation impact, top 3% 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

150 citing papers in PubMed, 5 syntheses or guidelines pooled it, 278 citations in OpenAlex.

  1. Pooled it
  2. Genetic Variant Associated With Survival of Patients With Stage II-III Colon Cancer.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2020
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90 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

2 authors at 1 institution in 1 country.

Olivia CorradinDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44122 USA.
Peter C ScacheriDepartment of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH 44122 USA ; Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106 USA.
Case Western Reserve University · US

Funding

Targeting 15-PGDH in Colon Cancer Prognosis, Prediction, Treatment and PreventionP50CA150964 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MARKOWITZ, SANFORD D. · 2011 to 2022
$24.6M
GRADUATE TRAINING IN CELLULAR AND MOLECULAR BIOLOGYT32GM008056 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI DIEHL, JOHN ALAN, SNIDER, MARTIN D · 1985 to 2019
$7.1M
Developmental Mechanisms of the Chromodomain Gene Chd7R01DC009410 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARTIN, DONNA M. · 2009 to 2018
$3.7M
The role of gene enhancer elements in colon cancerR01CA160356 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TESAR, PAUL JOSEPH · 2012 to 2023
$3.6M
Genetic mechanisms of craniofacial dermal developmentR01DE018470 · NIDCR · CASE WESTERN RESERVE UNIVERSITY · PI ATIT, RADHIKA P · 2007 to 2018
$3.5M
NCI NIH HHS R01 CA160356NIDCD NIH HHS R01 DC009410NIDCR NIH HHS R01 DE018470NIGMS NIH HHS T32 GM008056
6 · The paper itself

Abstract

Gene enhancer elements are noncoding segments of DNA that play a central role in regulating transcriptional programs that control development, cell identity, and evolutionary processes. Recent studies have shown that noncoding single nucleotide polymorphisms (SNPs) that have been associated with risk for numerous common diseases through genome-wide association studies frequently lie in cell-type-specific enhancer elements. These enhancer variants probably influence transcriptional output, thereby offering a mechanistic basis to explain their association with risk for many common diseases. This review focuses on the identification and interpretation of disease-susceptibility variants that influence enhancer function. We discuss strategies for prioritizing the study of functional enhancer SNPs over those likely to be benign, review experimental and computational approaches to identifying the gene targets of enhancer variants, and highlight efforts to quantify the impact of enhancer variants on target transcript levels and cellular phenotypes. These studies are beginning to provide insights into the mechanistic basis of many common diseases, as well as into how we might translate this knowledge for improved disease diagnosis, prevention and treatments. Finally, we highlight five major challenges often associated with interpreting enhancer variants, and discuss recent technical advances that may help to surmount these challenges.

Identifiers

PMID25473424
PMCPMC4254432
OpenAlexW2115717891

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.