Evidence map›Paper›PMID 28758972›Full record

ReviewInternational journal of molecular sciences2017

Mutations of Pre-mRNA Splicing Regulatory Elements: Are Predictions Moving Forward to Clinical Diagnostics?

Lucie Grodecká, Emanuele Buratti, Tomáš Freiberger

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Frontiers in allergy · 2022
    Review
  9. Article
  10. Functional Analysis of theInternational journal of molecular sciences · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. NovelFrontiers in genetics · 2019
    Article
  17. Review
  18. Article
  19. 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.

Lucie GrodeckáCentre for Cardiovascular Surgery and Transplantation, Brno 65691, Czech Republic. lucie.grodecka@cktch.cz.
Emanuele BurattiInternational Centre for Genetic Engineering and Biotechnology, 34149 Trieste, Italy. buratti@icgeb.org.
Tomáš FreibergerCentre for Cardiovascular Surgery and Transplantation, Brno 65691, Czech Republic. tomas.freiberger@cktch.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For more than three decades, researchers have known that consensus splice sites alone are not sufficient regulatory elements to provide complex splicing regulation. Other regulators, so-called splicing regulatory elements (SREs) are needed. Most importantly, their sequence variants often underlie the development of various human disorders. However, due to their variable location and high degeneracy, these regulatory sequences are also very difficult to recognize and predict. Many different approaches aiming to identify SREs have been tried, often leading to the development of in silico prediction tools. While these tools were initially expected to be helpful to identify splicing-affecting mutations in genetic diagnostics, we are still quite far from meeting this goal. In fact, most of these tools are not able to accurately discern the SRE-affecting pathological variants from those not affecting splicing. Nonetheless, several recent evaluations have given appealing results (namely for EX-SKIP, ESRseq and Hexplorer predictors). In this review, we aim to summarize the history of the different approaches to SRE prediction, and provide additional validation of these tools based on patients' clinical data. Finally, we evaluate their usefulness for diagnostic settings and discuss the challenges that have yet to be met.

Indexed as

Genetic Diseases, InbornMutationRNA Splice SitesHumansMolecular Diagnostic TechniquesRNA PrecursorsRNA PrecursorsRNA Splice Sitesevaluation of prediction toolsin silico predictionsmutationpre-mRNA splicingsplicing aberrationsplicing regulatory elementsvariants of unknown significance

Identifiers

PMID28758972
PMCPMC5578058

What OpenQuestion holds

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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.