Evidence map›Paper›PMID 23265842›Full record

ReviewTrends in molecular medicine2013

Exploring the effects of polymorphisms on cis-regulatory signal transduction response.

Alasdair MacKenzie, Benjamin Hing, Scott Davidson

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. bioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. Rab GTPases in Parkinson's disease: a primer.Essays in biochemistry · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Effects of negative stressors on DNA methylation in the brain: implications for mood and anxiety disorders.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2014
    Review
  12. 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

3 authors.

Alasdair MacKenzieGene Regulatory Systems Laboratory, School of Medical Sciences, Institute of Medical Sciences, University of Aberdeen, Aberdeen, Scotland AB25 2ZD, UK. alasdair.mackenzie@abdn.ac.uk
Benjamin Hing
Scott Davidson

Funding

Biotechnology and Biological Sciences Research Council BB/D004659/1Biotechnology and Biological Sciences Research Council BB/D524932/1Biotechnology and Biological Sciences Research Council BBS/S/2005/12001Medical Research Council G0701003Wellcome TrustWellcome Trust 080980/Z/06/Z
6 · The paper itself

Abstract

cis-Regulatory sequences (CRSs) direct cell-specific and inducible gene expression in response to signal transduction networks, and it is becoming apparent that many cases of disease susceptibility and drug response stratification are due to polymorphisms that alter CRS responses in a context-dependent manner. In the current review, we describe successful methods for identifying CRSs and analyzing the effects of allelic variation on their responses to signal transduction. The technologies described build on the successes of ENCODE (ENCyclopedia Of DNA Elements) by exploring the effects of polymorphisms on CRS context dependency. This understanding is essential to uncover the genomic basis of disease susceptibility and will play a major role in delivering on the promise of personalized medicine.

Indexed as

Polymorphism, Single NucleotideRegulatory Sequences, Nucleic AcidSignal TransductionAnimalsEpigenomicsGene Expression RegulationGenome-Wide Association StudyHumansPharmacogenetics

Identifiers

PMID23265842
PMCPMC3569712

What OpenQuestion holds

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LicenceCC BY
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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.