Evidence map›Paper›PMID 18787897›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2008

Functional genetic variation of human miRNAs and phenotypic consequences.

Christelle Borel, Stylianos E Antonarakis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Identification and functional characterization of microRNAs reveal a potential role in gastric cancer progression.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017
    Article
  8. Article
  9. Review
  10. MicroRNAs in cardiac arrhythmia: DNA sequence variation of MiR-1 and MiR-133A in long QT syndrome.Scandinavian journal of clinical and laboratory investigation · 2014
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Long QT syndrome: beyond the causal mutation.The Journal of physiology · 2013
    Review
  17. Article
  18. Review
  19. Review
  20. 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

2 authors.

Christelle BorelDepartment of Genetic Medicine, University of Geneva Medical School and University Hospitals of Geneva, Geneva, 1211, Switzerland.
Stylianos E Antonarakis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of human protein-coding genes are finely regulated by one or more microRNAs. Members of this small noncoding RNA family have emerged as important post-transcriptional regulators of gene expression and are involved in a number of disease phenotypes. Variability in the human genome is extensive and includes the common and rare single nucleotide polymorphisms (SNPs) and copy number variations (CNVs). The functional significance of the genome's variability is under intense investigation. In this article we review the emerging literature on how human genomic variation influences the outcome of microRNA targeting and the associated phenotypic effects. Illustrative examples are discussed that demonstrate the biological importance of functional polymorphisms affecting miRNA-mediated gene regulation.

Indexed as

Genetic VariationBase SequenceHumansMicroRNAsPhenotypePolymorphism, GeneticRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

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.