Evidence map›Paper›PMID 18992264›Full record

ArticleMutation research2009

Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1.

Marcelo Carvalho, Maria A Pino, Rachel Karchin, Jennifer Beddor, Martha Godinho-Netto, Rafael D Mesquita, Renato S Rodarte, Danielle C Vaz, Viviane A Monteiro, Siranoush Manoukian and 9 more

Open access · greenAbstract read
In one paragraph

Article in Mutation research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 43 citations in OpenAlex.

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  16. A computational method to classify variants of uncertain significance using functional assay data with application to BRCA1.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    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

19 authors at 10 institutions in 5 countries.

Marcelo CarvalhoH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA.
Maria A Pino
Rachel Karchin
Jennifer Beddor
Martha Godinho-Netto
Rafael D Mesquita
Renato S Rodarte
Danielle C Vaz
Viviane A Monteiro
Siranoush Manoukian
Mara Colombo
Carla B Ripamonti
Richard Rosenquist
Graeme Suthers
Ake Borg
Paolo Radice
Scott A Grist
Alvaro N A Monteiro
Blase Billack
Rio de Janeiro Federal Institute of Education, Science and Technology · BRFondazione IRCCS Istituto Nazionale dei Tumori · ITJohns Hopkins University · USSt. John's University · USFlinders University · AULund University · SEMoffitt Cancer Center · USUniversidade Federal de Alagoas · BRUppsala University · SEWomen's and Children's Hospital · AU

Funding

BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
BRCA1 and BRCA2 missense mutations and breast cancer riskU01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2013 to 2017
$2.7M
FUNCTIONAL ANALYSIS OF BRCA1 MUTANTSR01CA092309 · NCI · STRANG CANCER PREVENTION CENTER · PI MONTEIRO, ALVARO N · 2002 to 2006
$1.3M
NCI NIH HHS CA116167NCI NIH HHS CA92309NCI NIH HHS R01 CA092309NCI NIH HHS R01 CA116167NCI NIH HHS U01 CA116167
6 · The paper itself

Abstract

Germline mutations that inactivate BRCA1 are responsible for breast and ovarian cancer susceptibility. One possible outcome of genetic testing for BRCA1 is the finding of a genetic variant of uncertain significance for which there is no information regarding its cancer association. This outcome leads to problems in risk assessment, counseling and preventive care. The purpose of the present study was to functionally evaluate seven unclassified variants of BRCA1 including a genomic deletion that leads to the in-frame loss of exons 16/17 (Delta exons 16/17) in the mRNA, an insertion that leads to a frameshift and an extended carboxy-terminus (5673insC), and five missense variants (K1487R, S1613C, M1652I, Q1826H and V1833M). We analyzed the variants using a functional assay based on the transcription activation property of BRCA1 combined with supervised learning computational models. Functional analysis indicated that variants S1613C, Q1826H, and M1652I are likely to be neutral, whereas variants V1833M, Delta exons 16/17, and 5673insC are likely to represent deleterious variants. In agreement with the functional analysis, the results of the computational analysis also indicated that the latter three variants are likely to be deleterious. Taken together, a combined approach of functional and bioinformatics analysis, plus structural modeling, can be utilized to obtain valuable information pertaining to the effect of a rare variant on the structure and function of BRCA1. Such information can, in turn, aid in the classification of BRCA1 variants for which there is a lack of genetic information needed to provide reliable risk assessment.

Indexed as

Blotting, WesternBRCA1 ProteinCell LineComputational BiologyComputer SimulationExonsFemaleFrameshift MutationHumansMaleModels, GeneticModels, MolecularMutation, MissensePedigreeProtein Structure, TertiarySequence DeletionBRCA1 Protein

Identifiers

PMID18992264
PMCPMC2682550
OpenAlexW1964162728

What OpenQuestion holds

Textmetadata
LicenceTDM
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.