Evidence map›Paper›PMID 28381629›Full record

ReviewOpen biology2017

SNPs in microRNA target sites and their potential role in human disease.

Adrianna Moszyńska, Magdalena Gebert, James F Collawn, Rafał Bartoszewski

Abstract readReview
In one paragraph

Review in Open biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 4 pooled it
–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

109 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Article
  17. Relationship Between the Occurrence of Depression andInternational journal of molecular sciences · 2024
    Article
  18. Article
  19. Article
  20. Small Differences and Big Changes: The Many Variables of MicroRNA Expression and Function in the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review

49 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

4 authors.

Adrianna MoszyńskaDepartment of Biology and Pharmaceutical Botany, Medical University of Gdansk, Gdansk, Poland.
Magdalena GebertDepartment of Biology and Pharmaceutical Botany, Medical University of Gdansk, Gdansk, Poland.
James F CollawnDepartment of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Rafał BartoszewskiDepartment of Biology and Pharmaceutical Botany, Medical University of Gdansk, Gdansk, Poland rafalbar@gumed.edu.pl.ORCID 0000-0002-2864-6757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the post-genomic era, the goal of personalized medicine is to determine the correlation between genotype and phenotype. Developing high-throughput genotyping technologies such as genome-wide association studies (GWAS) and the 1000 Genomes Project (http://www.internationalgenome.org/about/#1000G_PROJECT) has dramatically enhanced our ability to map where changes in the genome occur on a population level by identifying millions of single nucleotide polymorphisms (SNPs). Polymorphisms, particularly those within the coding regions of proteins and at splice junctions, have received the most attention, but it is also now clear that polymorphisms in the non-coding regions are important. In these non-coding regions, the enhancer and promoter regions have received the most attention, whereas the 3'-UTR regions have until recently been overlooked. In this review, we examine how SNPs affect microRNA-binding sites in these regions, and how mRNA stability changes can lead to disease pathogenesis.

Indexed as

Binding SitesGenetic Association StudiesGenetic Predisposition to DiseasePolymorphism, Single NucleotideAnimalsHumansMicroRNAsRNA InterferenceRNA, MessengerMicroRNAsRNA, MessengermicroRNApoly-miRTSsingle nucleotide polymorphisms

Identifiers

PMID28381629
PMCPMC5413909

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.