Evidence map›Paper›PMID 23239986›Full record

ArticlePloS one2012

Analysis of 30 putative BRCA1 splicing mutations in hereditary breast and ovarian cancer families identifies exonic splice site mutations that escape in silico prediction.

Barbara Wappenschmidt, Alexandra A Becker, Jan Hauke, Ute Weber, Stefanie Engert, Juliane Köhler, Karin Kast, Norbert Arnold, Kerstin Rhiem, Eric Hahnen and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

23 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
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  9. Review
  10. Systematic misclassification of missense variants in BRCA1 and BRCA2 "coldspots".Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  11. Article
  12. TheGenes · 2019
    Article
  13. Diagnostic mRNA splicing assay for variants inHereditary cancer in clinical practice · 2019
    Article
  14. Article
  15. Article
  16. Classification of the spliceogenicClinical case reports · 2017
    Article
  17. Article
  18. Article
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  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

12 authors at 5 institutions in 1 country.

Barbara WappenschmidtDivision of Molecular Gynaeco-Oncology, Department of Gynaecology and Obstetrics, University Hospital of Cologne, Cologne, Germany.
Alexandra A Becker
Jan Hauke
Ute Weber
Stefanie Engert
Juliane Köhler
Karin Kast
Norbert Arnold
Kerstin Rhiem
Eric Hahnen
Alfons Meindl
Rita K Schmutzler
University Hospital Cologne · DEUniversity of Cologne · DEKlinikum rechts der Isar · DEKiel University · DETU Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Screening for pathogenic mutations in breast and ovarian cancer genes such as BRCA1/2, CHEK2 and RAD51C is common practice for individuals from high-risk families. However, test results may be ambiguous due to the presence of unclassified variants (UCV) in the concurrent absence of clearly cancer-predisposing mutations. Especially the presence of intronic or exonic variants within these genes that possibly affect proper pre-mRNA processing poses a challenge as their functional implications are not immediately apparent. Therefore, it appears necessary to characterize potential splicing UCV and to develop appropriate classification tools. We investigated 30 distinct BRCA1 variants, both intronic and exonic, regarding their spliceogenic potential by commonly used in silico prediction algorithms (HSF, MaxEntScan) along with in vitro transcript analyses. A total of 25 variants were identified spliceogenic, either causing/enhancing exon skipping or activation of cryptic splice sites, or both. Except from a single intronic variant causing minor effects on BRCA1 pre-mRNA processing in our analyses, 23 out of 24 intronic variants were correctly predicted by MaxEntScan, while HSF was less accurate in this cohort. Among the 6 exonic variants analyzed, 4 severely impair correct pre-mRNA processing, while the remaining two have partial effects. In contrast to the intronic alterations investigated, only half of the spliceogenic exonic variants were correctly predicted by HSF and/or MaxEntScan. These data support the idea that exonic splicing mutations are commonly disease-causing and concurrently prone to escape in silico prediction, hence necessitating experimental in vitro splicing analysis.

Indexed as

Alternative SplicingBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsComputer SimulationExonsFemaleHumansIntronsMutationOvarian NeoplasmsRNA PrecursorsRNA Splice SitesBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinRNA PrecursorsRNA Splice Sites

Identifiers

PMID23239986
PMCPMC3519833
OpenAlexW2013528653

What OpenQuestion holds

Textmetadata
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.