Evidence map›Paper›PMID 26913838›Full record

ArticleHuman mutation2016

Adding In Silico Assessment of Potential Splice Aberration to the Integrated Evaluation of BRCA Gene Unclassified Variants.

Maxime P Vallée, Tonya L Di Sera, David A Nix, Andrew M Paquette, Michael T Parsons, Russel Bell, Andrea Hoffman, Frans B L Hogervorst, David E Goldgar, Amanda B Spurdle and 1 more

Abstract read
In one paragraph

Article in Human mutation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  15. International journal of molecular sciences · 2020
    Review
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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

11 authors.

Maxime P ValléeDepartment of Molecular Medicine, CHUQ Research Center, Quebec City, Canada.
Tonya L Di SeraDepartment of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah.
David A NixARUP Laboratories, University of Utah School of Medicine, Salt Lake City, Utah.
Andrew M PaquetteDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
Michael T ParsonsQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Russel BellDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
Andrea HoffmanQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Frans B L HogervorstNetherlands Cancer Institute, Amsterdam, The Netherlands.
David E GoldgarDepartment of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.
Amanda B SpurdleQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Sean V TavtigianDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah.

Funding

Massively Parallel Sequencing for Familial Colon Cancer GenesR01CA164138 · NCI · UNIVERSITY OF UTAH · PI ALBRIGHT, LISA CANNON, TAVTIGIAN, SEAN VAHRAM · 2012 to 2016
$2.9M
Classifying DNA Mismatch Repair Gene Variants of Unknown SignificanceR01CA164944 · NCI · UNIVERSITY OF UTAH · PI GREENBLATT, MARC S, TAVTIGIAN, SEAN VAHRAM · 2013 to 2016
$2.2M
NCI NIH HHS R01 CA164138NCI NIH HHS R01 CA164944
6 · The paper itself

Abstract

Clinical mutation screening of the cancer susceptibility genes BRCA1 and BRCA2 generates many unclassified variants (UVs). Most of these UVs are either rare missense substitutions or nucleotide substitutions near the splice junctions of the protein coding exons. Previously, we developed a quantitative method for evaluation of BRCA gene UVs-the "integrated evaluation"-that combines a sequence analysis-based prior probability of pathogenicity with patient and/or tumor observational data to arrive at a posterior probability of pathogenicity. One limitation of the sequence analysis-based prior has been that it evaluates UVs from the perspective of missense substitution severity but not probability to disrupt normal mRNA splicing. Here, we calibrated output from the splice-site fitness program MaxEntScan to generate spliceogenicity-based prior probabilities of pathogenicity for BRCA gene variants; these range from 0.97 for variants with high probability to damage a donor or acceptor to 0.02 for exonic variants that do not impact a splice junction and are unlikely to create a de novo donor. We created a database http://priors.hci.utah.edu/PRIORS/ that provides the combined missense substitution severity and spliceogenicity-based probability of pathogenicity for BRCA gene single-nucleotide substitutions. We also updated the BRCA gene Ex-UV LOVD, available at http://hci-exlovd.hci.utah.edu, with 77 re-evaluable variants.

Indexed as

Amino Acid SubstitutionBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsComputational BiologyComputer SimulationDatabases, GeneticFemaleGenetic Predisposition to DiseaseHumansMutation, MissenseRNA SplicingBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA1BRCA2cancer predispositionrare variantunclassified variantvariant of uncertain significance

Identifiers

PMID26913838
PMCPMC4907813

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Registered trials

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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.