Evidence map›Paper›PMID 27994185›Full record

ArticleJournal of genetics2016

In silico characterization of functional SNP within the oestrogen receptor gene.

Maha Rebaï, Ahmed Rebaï

Abstract read
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In one paragraph

Article in Journal of genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Increased frequency ofOncology letters · 2020
    Article
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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.

Maha RebaïLaboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, University of Sfax, Route Sidi Mansour, P.O. Box 1177, 3018 Sfax, Tunisia. maha.rebai@cbs.rnrt.tn.
Ahmed Rebaï
Centre of Biotechnology of Sfax · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleotide polymorphism (SNP) association studies have become crucial in uncovering the genetic correlations of genomic variants with complex diseases, quantitative traits and physiological responses to drugs. However, the identification of SNPs responsible for specific phenotypes is a difficult problem to solve, requiring multiple testing of hundreds or thousands of SNPs in candidate genes. In this study, we performed an analysis of the genetic variations that can alter the structure and function of oestrogen receptor α using different computational tools. Among the nonsynonymous SNPs, a total of four SNPs were found to be damaging by both a sequence homology-based tool (SIFT) and a structural homology-based method (polyphen-2, SNAP), as well as by the ESEfinder program, and one nonsense nsSNP was found. For noncoding SNPs, we found that one SNP in 5' UTR may potentially change protein expression level, nine SNPs were found to affect miRNA binding site and 28 SNPs might affect transcriptional regulation of the ESR1 gene. Reviewing the literature, 89 SNPs were found to be functional among which only four were located in exons.

Indexed as

Polymorphism, Single NucleotideAllelesAlternative SplicingComputational BiologyComputer SimulationDatabases, GeneticEstrogen Receptor alphaGenotypeMutationReceptors, EstrogenUntranslated RegionsEstrogen Receptor alphaReceptors, EstrogenUntranslated Regions

Identifiers

PMID27994185
OpenAlexW2554483814

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.