Evidence map›Paper›PMID 29996917›Full record

ArticleHuman genomics2018

A new bioinformatics tool to help assess the significance of BRCA1 variants.

Isabelle Cusin, Daniel Teixeira, Monique Zahn-Zabal, Valentine Rech de Laval, Anne Gleizes, Valeria Viassolo, Pierre O Chappuis, Pierre Hutter, Amos Bairoch, Pascale Gaudet

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Determination of Pathogenicity ofSultan Qaboos University medical journal · 2019
    Article
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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

10 authors at 4 institutions in 2 countries.

Isabelle CusinCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland.
Daniel TeixeiraCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland.
Monique Zahn-ZabalCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland.
Valentine Rech de LavalCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland.
Anne GleizesCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland.
Valeria ViassoloOncogenetics and Cancer Prevention Unit, Division of Oncology, University Hospitals of Geneva, 1205, Geneva, Switzerland.
Pierre O ChappuisOncogenetics and Cancer Prevention Unit, Division of Oncology, University Hospitals of Geneva, 1205, Geneva, Switzerland.
Pierre HutterSophia Genetics, Rue du Centre 172, 1025, Saint Sulpice, Switzerland.
Amos BairochCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland.
Pascale GaudetCALIPHO group, SIB Swiss Institute of Bioinformatics, 1211, Geneva 4, Switzerland. pascale.gaudet@sib.swiss.ORCID 0000-0003-1813-6857
SIB Swiss Institute of Bioinformatics · CHUniversity of Geneva · CHUniversity Hospital of Geneva · CHSophia Genetics (Switzerland) · CH

Funding

Recherche Suisse Contre le Cancer KFS-3297-08-2013
6 · The paper itself

Abstract

backgroundGermline pathogenic variants in the breast cancer type 1 susceptibility gene BRCA1 are associated with a 60% lifetime risk for breast and ovarian cancer. This overall risk estimate is for all BRCA1 variants; obviously, not all variants confer the same risk of developing a disease. In cancer patients, loss of BRCA1 function in tumor tissue has been associated with an increased sensitivity to platinum agents and to poly-(ADP-ribose) polymerase (PARP) inhibitors. For clinical management of both at-risk individuals and cancer patients, it would be important that each identified genetic variant be associated with clinical significance. Unfortunately for the vast majority of variants, the clinical impact is unknown. The availability of results from studies assessing the impact of variants on protein function may provide insight of crucial importance. RESULTS AND

conclusionWe have collected, curated, and structured the molecular and cellular phenotypic impact of 3654 distinct BRCA1 variants. The data was modeled in triple format, using the variant as a subject, the studied function as the object, and a predicate describing the relation between the two. Each annotation is supported by a fully traceable evidence. The data was captured using standard ontologies to ensure consistency, and enhance searchability and interoperability. We have assessed the extent to which functional defects at the molecular and cellular levels correlate with the clinical interpretation of variants by ClinVar submitters. Approximately 30% of the ClinVar BRCA1 missense variants have some molecular or cellular assay available in the literature. Pathogenic variants (as assigned by ClinVar) have at least some significant functional defect in 94% of testable cases. For benign variants, 77% of ClinVar benign variants, for which neXtProt Cancer variant portal has data, shows either no or mild experimental functional defects. While this does not provide evidence for clinical interpretation of variants, it may provide some guidance for variants of unknown significance, in the absence of more reliable data. The neXtProt Cancer variant portal ( https://www.nextprot.org/portals/breast-cancer ) contains over 6300 observations at the molecular and/or cellular level for BRCA1 variants.

Indexed as

Genetic Predisposition to DiseaseAdultAgedBRCA1 ProteinBreast NeoplasmsComputational BiologyFemaleGenetic VariationGerm-Line MutationHumansMiddle AgedOvarian NeoplasmsProtein ConformationBRCA1 ProteinBRCA1 protein, humanBiological databaseBRCA1CancerFunctional defect assessmentGenetic variantsMolecular phenotypes

Identifiers

PMID29996917
PMCPMC6042458
OpenAlexW2875045193

What OpenQuestion holds

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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.