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Record W1839131225 · doi:10.1093/hmg/ddv251

<i>FANCM</i>c.5791C&gt;T nonsense mutation (rs144567652) induces exon skipping, affects DNA repair activity and is a familial breast cancer risk factor

2015· article· en· W1839131225 on OpenAlexafffund
Paolo Peterlongo, Irene Catucci, Mara Colombo, Laura Caleca, Eliseos J. Mucaki, Massimo Bogliolo, Maria Marín, Francesca Damiola, Loris Bernard, Valeria Pensotti, Sara Volorio, Valentina Dall’Olio, Alfons Meindl, Claus R. Bartram, Christian Sutter, Harald Surowy, Valérie Sornin, Marie‐Gabrielle Dondon, Séverine Eon‐Marchais, Dominique Stoppa‐Lyonnet, Nadine Andrieu, Olga M. Sinilnikova, Gillian Mitchell, Paul A. James, Ella R. Thompson, Marina Marchetti, Cristina Verzeroli, Carmen Julia Tartari, Gabriele Lorenzo Capone, Anna Laura Putignano, Maurizio Genuardi, Veronica Medici, Isabella Marchi, Massimo Federico, Silvia Tognazzo, Laura Matricardi, Simona Agata, Riccardo Dolcetti, Lara Della Puppa, Giulia Cini, Viviana Gismondi, Valeria Viassolo, Chiara Perfumo, Maria Antonietta Mencarelli, Margherita Baldassarri, Bernard Peissel, Gaia Roversi, Valentina Silvestri, Piera Rizzolo, Francesca Spina, Caterina Vivanet, Maria Grazia Tibiletti, Maria A. Caligo, Gaetana Gambino, Stefania Tommasi, Brunella Pilato, Carlo Tondini, Chiara Corna, Bernardo Bonanni, Monica Barile, Ana Osório, Javier Benı́tez, Luisa Balestrino, Laura Ottini, Siranoush Manoukian, Marco A. Pierotti, Alessandra Renieri, Liliana Varesco, Fergus J. Couch, Xianshu Wang, Peter Devilee, Florentine Hilbers, Christi J. van Asperen, Alessandra Viel, Marco Montagna, Laura Cortesi, Orland Dı́ez, Judith Balmañà, Jan Hauke, Rita K. Schmutzler, Laura Papi, Miguel Ángel Pujana, Conxi Lázaro, Anna Falanga, Kenneth Offit, Joseph Vijai, Ian Campbell, Barbara Burwinkel, Anders Kvist, Hans Ehrencrona, Sylvie Mazoyer, Sara Pizzamiglio, Paolo Verderio, Jordi Surrallés, Peter K. Rogan, Paolo Radice

Bibliographic record

VenueHuman Molecular Genetics · 2015
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsWestern University
FundersNational Cancer InstituteNational Institutes of HealthUnicancerSvenska LäkaresällskapetCanadian Cancer SocietyLigue Contre le CancerAssociazione Italiana per la Ricerca sul CancroCancerfondenFundación Ramón ArecesNatural Sciences and Engineering Research Council of CanadaBreast Cancer Research Foundation
KeywordsBiologyBreast cancerNonsense mutationGeneticsOdds ratioMutationCancerGenotypingExonGenotypeOncologyInternal medicineGeneMedicineMissense mutation

Abstract

fetched live from OpenAlex

Numerous genetic factors that influence breast cancer risk are known. However, approximately two-thirds of the overall familial risk remain unexplained. To determine whether some of the missing heritability is due to rare variants conferring high to moderate risk, we tested for an association between the c.5791C>T nonsense mutation (p.Arg1931*; rs144567652) in exon 22 of FANCM gene and breast cancer. An analysis of genotyping data from 8635 familial breast cancer cases and 6625 controls from different countries yielded an association between the c.5791C>T mutation and breast cancer risk [odds ratio (OR) = 3.93 (95% confidence interval (CI) = 1.28-12.11; P = 0.017)]. Moreover, we performed two meta-analyses of studies from countries with carriers in both cases and controls and of all available data. These analyses showed breast cancer associations with OR = 3.67 (95% CI = 1.04-12.87; P = 0.043) and OR = 3.33 (95% CI = 1.09-13.62; P = 0.032), respectively. Based on information theory-based prediction, we established that the mutation caused an out-of-frame deletion of exon 22, due to the creation of a binding site for the pre-mRNA processing protein hnRNP A1. Furthermore, genetic complementation analyses showed that the mutation influenced the DNA repair activity of the FANCM protein. In summary, we provide evidence for the first time showing that the common p.Arg1931* loss-of-function variant in FANCM is a risk factor for familial breast cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.300
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations96
Published2015
Admission routes2
Has abstractyes

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