The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants
Abstract
Assessing the impact of variants of unknown significance (VUS) on splicing is a key issue in molecular diagnosis. This impact can be predicted by in silico tools, but proper evaluation and user guidelines are lacking. To fill this gap, we embarked upon the largest BRCA1 and BRCA2 splice study to date by testing 272 VUSs (327 analyses) within the BRCA splice network of Unicancer. All these VUSs were analyzed by using six tools (splice site prediction by neural network, splice site finder (SSF), MaxEntScan (MES), ESE finder, relative enhancer and silencer classification by unanimous enrichment, and human splicing finder) and the predictions obtained were compared with transcript analysis results. Combining MES and SSF gave 96% sensitivity and 83% specificity for VUSs occurring in the vicinity of consensus splice sites, that is, the surrounding 11 and 14 bases for the 5' and 3' sites, respectively. This study was also an opportunity to define guidelines for transcript analysis along with a tentative classification of splice variants. The guidelines drawn from this large series should be useful for the whole community, particularly in the context of growing sequencing capacities that require robust pipelines for variant interpretation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In general, splice site prediction tools have increased sensitivity (~90-100%) relative to specificity (~60-80%) in predicting splice site abnormalities. 23,24”
Citations
Cites
Listening to silence and understanding nonsense: exonic mutations that affect splicing
Cartegni, L., Chew, S. L., & Krainer, A. R. (2002) · Nature Reviews Genetics · doi:10.1038/nrg775 · Cited by 2,209
Vreeswijk, M. P. G., Kraan, J. N., van der Klift, H. M., Vink, G. R., Cornelisse, C. J., Wijnen, J. T., Bakker, E., van Asperen, C. J., & Devilee, P. (2009) · Human Mutation · doi:10.1002/humu.20811 · Cited by 98
Flagged first, then by citations
Research works printed but not linked: 40
- Anczukow, 2008, Unclassified variants identified in BRCA1 exon 11: consequences on splicing, Genes Chromosomes Cancer, 47, 418, 10.1002/gcc.20546 · DOI
- Andreutti-Zaugg, 1997, Inhibition of nonsense-mediated messenger RNA decay in clinical samples facilitates detection of human MSH2 mutations with an in vivo fusion protein assay and conventional techniques, Cancer Res, 57, 3288
- Ars, 2000, Cold shock induces the insertion of a cryptic exon in the neurofibromatosis type 1 (NF1) mRNA, Nucleic Acids Res, 28, 1307, 10.1093/nar/28.6.1307 · DOI
- Bonnet, 2008, Screening BRCA1 and BRCA2 unclassified variants for splicing mutations using reverse transcription PCR on patient RNA and an ex vivo assay based on a splicing reporter minigene, J Med Genet, 45, 438, 10.1136/jmg.2007.056895 · DOI
- Brezin, A new VCAN/versican splice acceptor site mutation in a French Wagner family associated with vascular and inflammatory ocular features, Mol Vis, 17, 1669
- Cartegni, 2003, ESEfinder: a web resource to identify exonic splicing enhancers, Nucleic Acids Res, 31, 3568, 10.1093/nar/gkg616 · DOI
- Caux-Moncoutier, 2011, EMMA, a cost- and time-effective diagnostic method for simultaneous detection of point mutations and large-scale genomic rearrangements: Application to BRCA1 and BRCA2 in 1,525 patients, Hum Mutat, 32, 325, 10.1002/humu.21414 · DOI
- Caux-Moncoutier, 2009, Impact of BRCA1 and BRCA2 variants on splicing: clues from an allelic imbalance study, Eur J Hum Genet, 17, 1471, 10.1038/ejhg.2009.89 · DOI
- Corvelo, 2010, Genome-wide association between branch point properties and alternative splicing, PLoS Comput Biol, 6, e1001016, 10.1371/journal.pcbi.1001016 · DOI
- Dehainault, 2007, A deep intronic mutation in the RB1 gene leads to intronic sequence exonisation, Eur J Hum Genet, 15, 473, 10.1038/sj.ejhg.5201787 · DOI
- Desmet, 2009, Human splicing finder: an online bioinformatics tool to predict splicing signals, Nucleic Acids Res, 37, e67, 10.1093/nar/gkp215 · DOI
- Doktor, 2011, SMN2 exon 7 splicing is inhibited by binding of hnRNP A1 to a common ESS motif that spans the 3′ splice site, Hum Mutat, 32, 220, 10.1002/humu.21419 · DOI
- Fairbrother, 2002, Predictive identification of exonic splicing enhancers in human genes, Science, 297, 1007, 10.1126/science.1073774 · DOI
- Gaildrat, 2011, Use of splicing reporter minigene assay to evaluate the effect on splicing of unclassified genetic variants, Methods Mol Biol, 653, 249, 10.1007/978-1-60761-759-4_15 · DOI · Paper page
- Hinzpeter, 2011, Alternative splicing at a NAGNAG acceptor site as a novel phenotype modifier, PLoS Genet, 6, e1001153, 10.1371/journal.pgen.1001153 · DOI
- Hofstra, 2008, Tumor characteristics as an analytic tool for classifying genetic variants of uncertain clinical significance, Hum Mutat, 29, 1292, 10.1002/humu.20894 · DOI
- Holla, 2009, Effects of intronic mutations in the LDLR gene on pre-mRNA splicing: comparison of wet-lab and bioinformatics analyses, Mol Genet Metab, 96, 245, 10.1016/j.ymgme.2008.12.014 · DOI
- Houdayer, 2008, Evaluation of in silico splice tools for decision-making in molecular diagnosis, Hum Mutat, 29, 975, 10.1002/humu.20765 · DOI
- Khan, Prolonged pursuit by optokinetic drum testing in asymptomatic female carriers of novel FRMD7 splice mutation c.1050 +5 G>A, Arch Ophthalmol, 129, 936, 10.1001/archophthalmol.2011.166 · DOI
- Lastella, 2006, In silico and in vivo splicing analysis of MLH1 and MSH2 missense mutations shows exon- and tissue-specific effects, BMC Genomics, 7, 243, 10.1186/1471-2164-7-243 · DOI
- Mahe, 2009, Virtual screening with support vector machines and structure kernels, Comb Chem High Throughput Screen, 12, 409, 10.2174/138620709788167926 · DOI
- Millevoi, 2010, The c.5242C>A BRCA1 missense variant induces exon skipping by increasing splicing repressors binding, Breast Cancer Res Treat, 120, 391, 10.1007/s10549-009-0392-3 · DOI
- Nalla, 2005, Automated splicing mutation analysis by information theory, Hum Mutat, 25, 334, 10.1002/humu.20151 · DOI
- Orban, 2003, Emerging roles of BRCA1 alternative splicing, Mol Pathol, 56, 191, 10.1136/mp.56.4.191 · DOI
- Plon, 2008, Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results, Hum Mutat, 29, 1282, 10.1002/humu.20880 · DOI · Paper page
- Reese, 1997, Improved splice site detection in Genie, J Comput Biol, 4, 311, 10.1089/cmb.1997.4.311 · DOI
- Shapiro, 1987, RNA splice junctions of different classes of eukaryotes: sequence statistics and functional implications in gene expression, Nucleic Acids Res, 15, 7155, 10.1093/nar/15.17.7155 · DOI
- Spurdle, 2008, Prediction and assessment of splicing alterations: implications for clinical testing, Hum Mutat, 29, 1304, 10.1002/humu.20901 · DOI
- Svetnik, 2003, Random forest: a classification and regression tool for compound classification and QSAR modeling, J Chem Inf Comput Sci, 43, 1947, 10.1021/ci034160g · DOI
- Thery, 2011, Contribution of bioinformatics predictions and functional splicing assays to the interpretation of unclassified variants of the BRCA genes, Eur J Hum Genet, 19, 1052, 10.1038/ejhg.2011.100 · DOI
- Thomassen, 2012, Characterization of BRCA1 and BRCA2 splicing variants: a collaborative report by ENIGMA consortium members, Breast Cancer Res Treat, 132, 1009, 10.1007/s10549-011-1674-0 · DOI
- Tone, 2012, Enhanced exon 2 skipping caused by c.910G>A variant and alternative splicing of MEFV genes in two independent cases of familial Mediterranean fever., Mod Rheumatol, 22, 45, 10.1007/s10165-011-0461-4 · DOI
- Tournier, 2008, A large fraction of unclassified variants of the mismatch repair genes MLH1 and MSH2 is associated with splicing defects, Hum Mutat, 29, 1412, 10.1002/humu.20796 · DOI
- Walker, 2011, Detection of splicing aberrations caused by BRCA1 and BRCA2 sequence variants encoding missense substitutions: implications for prediction of pathogenicity, Hum Mutat, 31, E1484, 10.1002/humu.21267 · DOI
- Whiley, 2011, Splicing and multifactorial analysis of intronic BRCA1 and BRCA2 sequence variants identifies clinically significant splicing aberrations up to 12 nucleotides from the intron/exon boundary, Hum Mutat, 32, 678, 10.1002/humu.21495 · DOI
- Wimmer, 2000, Illegitimate splicing of the NF1 gene in healthy individuals mimics mutation-induced splicing alterations in NF1 patients, Hum Genet, 106, 311, 10.1007/s004390051043 · DOI
- Wimmer, 2007, Extensive in silico analysis of NF1 splicing defects uncovers determinants for splicing outcome upon 5′ splice-site disruption, Hum Mutat, 28, 599, 10.1002/humu.20493 · DOI
- Yeo, 2004, Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals, J Comput Biol, 11, 377, 10.1089/1066527041410418 · DOI
- Zhang, 2008, RNA landscape of evolution for optimal exon and intron discrimination, Proc Natl Acad Sci U S A, 105, 5797, 10.1073/pnas.0801692105 · DOI
- Zweig, 1993, Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine, Clin Chem, 39, 561, 10.1093/clinchem/39.4.561 · DOI
Cited by
Sorted by citations
Items 101–200 of 227
Gelli, E., Colombo, M., Pinto, A. M., Vecchi, G. D., Foglia, C., Amitrano, S., Morbidoni, V., Imperatore, V., Manoukian, S., Baldassarri, M., et al. (2019) · Cancers · doi:10.3390/cancers11030295 · Cited by 25
“However, their predictions have been demonstrated to be highly reliable for variants located in Cartegni-consensus regions, but less accurate for variants lying in elements such as the exonic splicing enhancer (ESE) or branchpoints [19].”
BackgroundInfluentialHannan, F. A., Keogh, M. B., Taha, S., & Buainain, L. A. (2019) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.771 · Cited by 21
“The second detected heterozygous BRCA2 c.67+2T>C variant is located 2 nucleotide downstream of intron 2; The BRCA2 c.67+2T>C splice‐site variant has been previously identified as a pathogenic mutation and already described in the BIC database (Diez et al., 2003; Houdayer et al., 2012).”
BackgroundBarrios, X. G., Meseguer, M. D. S., Vera, M. M., Bermúdez, A. I. S., Cerrolaza, J. A. M., Henarejos, P. S., Poves, M. Z., Hernández, M. G. G., Tortosa, E. C., Baño, Á. A., et al. (2017) · Familial Cancer · doi:10.1007/s10689-017-9985-x · Cited by 21
“[14] and, for interpretation of splicing variants and aberrations, we used the list of variants described in ENIGMA Consortium (Enigma Splicing Working Group) [15] and the three-level classification system (1S, 2S and 3S) in Houdayer et al [16].”
MethodFanale, D., Pivetti, A., Cancelliere, D., Spera, A., Bono, M., Fiorino, A., Pedone, E., Barraco, N., Brando, C., Perez, A., et al. (2022) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2022.103626 · Cited by 21
Feurstein, S., Hahn, C., Mehta, N., & Godley, L. (2022) · Genetics in Medicine · doi:10.1016/j.gim.2021.12.008 · Cited by 20
Rare germline genetic variants and risk of aggressive prostate cancer
Nguyen‐Dumont, T., MacInnis, R. J., Steen, J. A., Theys, D., Tsimiklis, H., Hammet, F., Mahmoodi, M. S., Pope, B. J., Park, D. J., Mahmood, K., et al. (2020) · International Journal of Cancer · doi:10.1002/ijc.33024 · Cited by 18
Ryu, J., Kang, G., Nam, S., Kim, S., Yu, J., Lee, S., Bae, S., Park, S., Paik, H., Kim, J.-W., et al. (2017) · Breast · doi:10.1016/j.breast.2017.03.006 · Cited by 20
Systematic analysis of splicing defects in selected primary immunodeficiencies-related genes.
Grodecká, L., Hujová, P., Kramárek, M., Kršjaková, T., Kováčová, T., Vondrášková, K., Ravčuková, B., Hrnčířová, K., Souček, P., & Freiberger, T. (2017) · Clinical Immunology · doi:10.1016/j.clim.2017.03.010 · Cited by 18
Mutation analysis of PALB2 gene in French breast cancer families
Damiola, F., Schultz, I., Barjhoux, L., Sornin, V., Dondon, M.-G., Eon-Marchais, S., Marcou, M., Caron, O., Gauthier-Villars, M., de Pauw, A., et al. (2015) · Breast Cancer Research and Treatment · doi:10.1007/s10549-015-3625-7 · Cited by 18
Self-citationGambino, G., Tancredi, M., Falaschi, E., Aretini, P., & Caligo, M. (2015) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2015.2103 · Cited by 18
“Several studies have demonstrated that, due to variations in splice sites, BRCA1/BRCA2 may generate truncated, non-functional proteins that may be associated with a predisposition to breast and ovarian cancer (22).”
McKnight, D., Bean, L. J. H., Karbassi, I., Beattie, K., Bienvenu, T., Bonin, H., Fang, P., Chrisodoulou, J., Friez, M., Helgeson, M. L., et al. (2021) · Human Mutation · doi:10.1002/humu.24302 · Cited by 17
“We define significant splicing alterations as ≥15% change to the natural splice site (Houdayer et al., 2012).”
BackgroundSanoguera-Miralles, L., Valenzuela-Palomo, A., Bueno-Martínez, E., Llovet, P., Díez-Gómez, B., Caloca, M. J., Pérez-Segura, P., Fraile-Bethencourt, E., Colmena, M., Carvalho, S., et al. (2020) · Cancers · doi:10.3390/cancers12123771 · Cited by 17
“Potential spliceogenic variants were selected according to the following criteria: (i) splice site disruption at the AG/GT positions; (ii) important MES score changes (≥15%) [35,74]; (iii) creation of de novo splice sites; (iv) regardless of computer predictions, variants at other conserved positions of the acceptor (…”
MethodFunctional Characterization of Putative Novel Splicing Mutations in the Cardiomyopathy-Causing Genes
Millat, G., Lafont, E., Nony, S., Rouvet, I., & Bozon, D. (2015) · DNA and Cell Biology · doi:10.1089/dna.2015.2842 · Cited by 19
“…absence of an RNA-based assay, a combination of in silico and in vitro tests (Vega et al. , 2009; Wilson et al. , 2009; Di Filippo et al. , 2012; Houdayer et al. , 2012; Raynal et al. , 2013; Rimoldi et al. , 2014) was used to evaluate the splicing impact of nine recently identified nucleotide…”
Functional correction by antisense therapy of a splicing mutation in the GALT gene
Coelho, A. I., Lourenço, S. P., Trabuco, M. C., Silva, M. J., Oliveira, A., Gaspar, A. M. C., Diogo, L. M., de Almeida, I. T., Vicente, J. B., & Rivera, I. A. (2014) · European Journal of Human Genetics · doi:10.1038/ejhg.2014.149 · Cited by 18
The BRCA2 c.68-7T > A variant is not pathogenic: A model for clinical calibration of spliceogenicity
Colombo, M., López‐Perolio, I., Meeks, H., Caleca, L., Parsons, M. T., Li, H., Vecchi, G. D., Tudini, E., Foglia, C., Mondini, P., et al. (2018) · Human Mutation · doi:10.1002/humu.23411 · Cited by 20
“In accordance with previous studies (Houdayer et al., 2012; Jarhelle et al., 2016; Sanz et al., 2010; Thery et al., 2011; Vreeswijk et al., 2009), we observed that this variant leads to a modest increased expression of the transcript lacking exon 3 (∆3) in carriers compared to controls.”
Bueno‐Martínez, E., Sanoguera‐Miralles, L., Valenzuela‐Palomo, A., Lorca, V., Gómez-Sanz, A., Carvalho, S., Allen, J., Infante, M., Pérez‐Segura, P., Lázaro, C., et al. (2021) · Cancers · doi:10.3390/cancers13112845 · Cited by 24
“Potential spliceogenic variants were selected according to the following criteria: (i) MES score changes (>15%) [16,20] and (ii) creation of alternative sites (Table S2).”
MethodComplex consequences of Cantu syndrome SUR2 variant R1154Q in genetically modified mice
Zhang, H., Hanson, A., de Almeida, T. S., Emfinger, C. H., McClenaghan, C., Harter, T., Yan, Z.-H., Cooper, P., Brown, G. S., Arakel, E. C., et al. (2021) · JCI Insight · doi:10.1172/jci.insight.145934 · Cited by 16
“In many genes, exon inclusion/skipping is becoming recognized as a more common consequence of disease mutations than previously assumed (41-43).”
BackgroundParsons, M. T., Tudini, E., Li, H., Hahnen, E., Wappenschmidt, B., Feliubadaló, L., Aalfs, C. M., Agata, S., Aittomäki, K., Alducci, E., et al. (2019) · Human Mutation · doi:10.1002/humu.23818 · Cited by 144
“…variants (BRCA2 c.516+1G>T and BRCA2 c.7007+1G>C) demonstrating differences between multifactorial likelihood‐based analysis and the current iteration of ENIGMA “rules‐based” qualitative assessment based on mRNA splicing assay data from patient material (Houdayer et al., 2012; Whiley et al., 2011).”
Self-citationMorak, M., Schaefer, K., Steinke-Lange, V., Koehler, U., Keinath, S., Massdorf, T., Mauracher, B., Rahner, N., Bailey, J., Kling, C., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-019-0472-8 · Cited by 15
Splicing analysis of 26 F8 nucleotide variations using a minigene assay
Jourdy, Y., Frétigny, M., Nougier, C., Négrier, C., Bozon, D., & Vinciguerra, C. (2019) · Haemophilia · doi:10.1111/hae.13687 · Cited by 16
Current and future molecular approaches in the diagnosis of cystic fibrosis
Bergougnoux, A., Taulan-Cadars, M., Claustres, M., & Raynal, C. (2018) · Expert Review of Respiratory Medicine · doi:10.1080/17476348.2018.1457438 · Cited by 15
“Aggregates predictions scores of the main in silico tools Relevant only for variants within the consensus splice regions of known exons: not suitable to predict putative creation of splice sites inside the exons Functional assays In vitro assays: minigenes and expression vectors [55] Sequence of interest inserted in a…”
BackgroundWu, H., Boulling, A., Cooper, D., Li, Z.-S., Liao, Z., Chen, J.-M., & Férec, C. (2017) · Gut · doi:10.1136/gutjnl-2017-313948 · Cited by 15
Characterization of BRCA1 and BRCA2 variants found in a Norwegian breast or ovarian cancer cohort
Jarhelle, E., Stensland, H. M. F. R., Mæhle, L., & Ghelue, M. V. (2016) · Familial Cancer · doi:10.1007/s10689-016-9916-2 · Cited by 15
Parsons, M., Whiley, P., Beesley, J., Drost, M., de Wind, N., Thompson, B. A., Marquart, L., Hopper, J., Jenkins, M. A., Brown, M. A., et al. (2013) · Molecular Carcinogenesis · doi:10.1002/mc.22116 · Cited by 15
Walker, L., de la Hoya, M., Wiggins, G., Lindy, A., Vincent, L., Parsons, M., Canson, D., Bis-Brewer, D. M., Cass, A., Tchourbanov, A., et al. (2023) · medRxiv · doi:10.1101/2023.02.24.23286431 · Cited by 14
Presumed COL4A3/COL4A4 Missense/Synonymous Variants Induce Aberrant Splicing
Deng, H., Zhang, Y., Ding, J., & Wang, F. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.838983 · Cited by 15
“It was suggested to using multiple in silico tools to pinpoint unclassified variants worthy of transcript analyses (20).”
BackgroundPotentially pathogenic germline CHEK2 c.319+2T>A among multiple early-onset cancer families
Dominguez-Valentin, M., Nakken, S., Tubeuf, H., Vodák, D., Ekstrøm, P. O., Nissen, A. M., Morak, M., Holinski-Feder, E., Martins, A., Møller, P., et al. (2017) · Familial Cancer · doi:10.1007/s10689-017-0011-0 · Cited by 14
Pflüger, L. S., Gutleb, D. R., Hofer, M., Fieder, M., Wallner, B., & Steinborn, R. (2016) · Hormones and Behavior · doi:10.1016/j.yhbeh.2015.11.012 · Cited by 14
“Particularly, the prediction of whether or not changes in the intronic 5' and 3′ splice site region affect RNA splicing seems to be relatively straightforward and highly reliable (Houdayer et al., 2012; Théry et al., 2011; Vreeswijk et al., 2009).”
Hata, C., Nakaoka, H., Xiang, Y., Wang, D., Yang, A., Liu, D., Liu, F., Zou, Q., Li, W., Zheng, K., et al. (2020) · Journal of Human Genetics · doi:10.1038/s10038-020-0729-7 · Cited by 16
Dominguez-Valentin, M., Nakken, S., Tubeuf, H., Vodák, D., Ekstrøm, P. O., Nissen, A. M., Morak, M., Holinski-Feder, E., Holth, A., Capellá, G., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-54517-z · Cited by 13
Montalban, G., Fraile-Bethencourt, E., López-Perolio, I., Pérez-Segura, P., Infante, M., Durán, M., Alonso-Cerezo, M. C., López-Fernández, A., Díez, O., de la Hoya, M., et al. (2018) · Human Mutation · doi:10.1002/humu.23583 · Cited by 13
Schalk, A., Greff, G., Drouot, N., Obringer, C., Dollfus, H., Laugel, V., Chelly, J., & Calmels, N. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-017-0009-y · Cited by 13
“Variations affecting canonical splice sites or creating an exonic cryptic site can now be predicted with high confidence by in silico tools that evaluate the strength of splice sites [20].”
Høberg-Vetti, H., Ognedal, E., Buisson, A., Vamre, T., Ariansen, S., Hoover, J., Eide, G., Houge, G., Fiskerstrand, T., Haukanes, B., et al. (2020) · European Journal of Human Genetics · doi:10.1038/s41431-020-0612-1 · Cited by 12
Digging deeper into the intronic sequences of the SPINK1 gene
Zou, W.-B., Masson, E., Boulling, A., Cooper, D., Li, Z.-S., Liao, Z., Férec, C., & Chen, J.-M. (2016) · Gut · doi:10.1136/gutjnl-2016-311428 · Cited by 12
Morak, M., Pineda, M., Martins, A., Gaildrat, P., Tubeuf, H., Drouet, A., Gómez, C., Dámaso, E., Schaefer, K., Steinke-Lange, V., et al. (2022) · European Journal of Human Genetics · doi:10.1038/s41431-022-01106-w · Cited by 11
Self-citationJulien, M., Ghouil, R., Petitalot, A., Caputo, S. M., Carreira, A., & Zinn‐Justin, S. (2021) · Biomolecules · doi:10.3390/biom11071060 · Cited by 14
“Figure 7A represents the distribution and significance of missense variants in the French population, including those exhibiting splicing defects, along the BRCA2 gene [89].”
BackgroundMehta, N., He, R., & Viswanatha, D. (2021) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-021-00540-8 · Cited by 11
Yamada, M., Suzuki, H., Shiraishi, Y., & Kosaki, K. (2019) · Molecular Genetics and Metabolism Reports · doi:10.1016/j.ymgmr.2019.100531 · Cited by 11
“We tested whether the abnormal splicing detected using RNA-seq and the SAVNet software could be predicted by the prototypic software tools MaxEntScan (MES) [26] and SpliceSiteFinder-like (SSF) [27], both of which use current knowledge on the base composition of the splice site sequences and can predict aberrant splici…”
BackgroundMethodInfluentialBRCA1 and BRCA2 germline variants in breast cancer patients from the Republic of Macedonia
Jakimovska, M., Kostovska, I. M., Popovska-Jankovic, K., Kubelka-Sabit, K., Karadjozov, M., Stojanovska, L., Arsovski, A., Smichkoska, S., Lazarova, E., Dimitrovska, M. J., et al. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-017-4642-5 · Cited by 11
Buisine, M., Bellanné‐Chantelot, C., Calmels, N., Vaché, C., Besnard, T., Cogné, B., Vitobello, A., Piton, A., Martins, A., Gaildrat, P., et al. (2025) · European Journal of Human Genetics · doi:10.1038/s41431-025-01881-2 · Cited by 10
“For this reason, in silico prediction tools for splicing anomalies have been widely used for decades and the French splicing group published guidelines as soon as 2012 with a simple combination of two bioinformatics variation scores MaxEntScan (MES) and Splice Site Finder-like (SSF-like) [5].”
InfluentialSelf-citationValue of the loss of heterozygosity to BRCA1 variant classification
dos Santos, E. S., Spurdle, A., Carraro, D., Briaux, A., Southey, M., Torrezan, G., Petitalot, A., Leman, R., Lafitte, P., Meseure, D., et al. (2022) · npj Breast Cancer · doi:10.1038/s41523-021-00361-2 · Cited by 10
“In regard to breast cancer samples, LOH was observed in 69% (35) of tumors with a germline PV (51), within which the loss of the wild-type allele was present in 91% (32 of 35) while the overall allelic balance was observed in 31% (16) carrying PVs (Table 2).”
Self-citationBouras, A., Léoné, M., Bonadona, V., Lebrun, M., Calender, A., & Boutry-Kryza, N. (2021) · Genes · doi:10.3390/genes12111736 · Cited by 10
“The recommendations of the French Unicancer genetic Group were followed for the interpretation of the results [13].”
Tertre, M. L., Ka, C., Raud, L., Berlivet, I., Gourlaouen, I., Richard, G., Uguen, K., Chen, J., Férec, C., Fichou, Y., et al. (2020) · Blood Cells Molecules and Diseases · doi:10.1016/j.bcmd.2020.102527 · Cited by 13
Aspesi, A., Betti, M., Sculco, M., Actis, C., Olgasi, C., Wlodarski, M., Vlachos, A., Lipton, J., Ramenghi, U., Santoro, C., et al. (2018) · Human Mutation · doi:10.1002/humu.23551 · Cited by 10
Genetic variants of prospectively demonstrated phenocopies in BRCA1/2 kindreds
Dominguez-Valentin, M., Evans, D., Nakken, S., Tubeuf, H., Vodák, D., Ekstrøm, P. O., Nissen, A. M., Morak, M., Holinski-Feder, E., Martins, A., et al. (2018) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-018-0086-0 · Cited by 10
First description of a sporadic breast cancer in a woman with BRCA1 germline mutation
Curtit, E., Benhamo, V., Gruel, N., Popova, T., Manié, E., Cottu, P., Mariani, O., Stoppa-Lyonnet, D., Pivot, X., Stern, M., et al. (2015) · OncoTarget · doi:10.18632/oncotarget.5348 · Cited by 10
“DNA was extracted from a blood sample according to standard procedures [31].”
MethodSelf-citationAğaoğlu, N., Unal, B., Dogan, O. A., Kanev, M. O., Zolfagharian, P., Sag, S. O., Temel, S., & Doğanay, L. (2022) · European Journal of Human Genetics · doi:10.1038/s41431-022-01060-7 · Cited by 9
“9117 G > A, which creates a truncating protein [25, 29] and the BI_1 encoded PVS1 evidence.”
BackgroundSaint-Martin, C., Mière, M. C.-L., Rex, E. A., Soukarieh, O., Arnoux, J., Buratti, J., Bouvet, D., Frebourg, T., Gaildrat, P., Shyng, S., et al. (2021) · Human Mutation · doi:10.1002/humu.24164 · Cited by 9
“…three bioinformatics approaches: (i) the combined MaxEntScan (MES) and SpliceSiteFinder‐like (SSFL) pipeline that is based on the sequential utilization of the aforementioned algorithms (MES/ SSFL) as previously recommended (Houdayer et al., 2012), both si- multaneously accessed via Alamut Visual1.”
MethodSelf-citationVendrell, J., Vilquin, P., Larrieux, M., Goethem, C. V., & Solassol, J. (2018) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2018.06.003 · Cited by 9
“From our perspective, the most problematic concern arose with the Ion AmpliSeq BRCA Panel, which presented a systematic weakness in depth coverage for exons 20 and 23 of BRCA2 .”
BackgroundSoukarieh, O., Gaildrat, P., Hamieh, M., Drouet, A., Baert-Desurmont, S., Frebourg, T., Tosi, M., & Martins, A. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005971 · Cited by 9
Self-citationInvestigating the effect of 28 BRCA1 and BRCA2 mutations on their related transcribed mRNA
Quiles, F., Menéndez, M., Tornero, E., del Valle, J., Teulé, À., Palanca, S., Izquierdo, A., Gómez, C., Campos, O., Santamaría, R., et al. (2016) · Breast Cancer Research and Treatment · doi:10.1007/s10549-015-3676-9 · Cited by 9
Al-Yahyaee, S., Al-Kindi, M., de Jonghe, P., Al-Asmi, A., AlFutaisi, A., Vriendt, E. D., Deconinck, T., & Chand, P. (2013) · Journal of Child Neurology · doi:10.1177/0883073812463610 · Cited by 9
“The AG/GT disruption is systematically associated with deleterious effects except in the presence of strong cryptic sites within the vicinity of the mutation.(20) Using a webbased in silico splicing tool (http://www.”
MethodWeisschuh, N., Marino, V., Schäferhoff, K., Richter, P., Park, J., Haack, T., & Dell'Orco, D. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab286 · Cited by 8
“For instance, the use of 15% and 5% as cut-off values have been suggested for MaxEntScan and SSF-like, respectively (40).”
MethodBaert, A., Macháčková, E., Coene, I., Cremin, C., Turner, K., Portigal-Todd, C., Asrat, M., Nuk, J., Mindlin, A., Young, S. S., et al. (2018) · Human Mutation · doi:10.1002/humu.23390 · Cited by 8
“Indeed, variants in the highly conserved dinucleotides at the splice site donor/acceptor sites at the intron boundaries, in the conserved adjacent sequences or variants in the branchpoints and exonic splicing enhancers (ESE) might lead to aberrant splicing (Houdayer et al., 2012; Spurdle, Couch, Hogervorst, Radice, &…”
BackgroundInfluentialKleiblová, P., Černá, M., Zemánková, P., Matějková, K., Nehasil, P., Hojný, J., Horackova, K., Janatová, M., Soukupová, J., Stastna, B., et al. (2024) · Folia biologica · doi:10.14712/fb2024070010062 · Cited by 8
Davidson, A. L., Michailidou, K., Parsons, M. T., Fortuño, C., Bolla, M. K., Wang, Q., Dennis, J., Naven, M., Abubakar, M., Ahearn, T. U., et al. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.07.004 · Cited by 7
Bouras, A., Guidara, S., Léoné, M., Buisson, A., Martin-Denavit, T., Dussart, S., Lasset, C., Giraud, S., Bonnet-Dupeyron, M., Kherraf, Z., et al. (2023) · Cancers · doi:10.3390/cancers15133420 · Cited by 7
“Interpretation of results was carried out according to the recommendations of the French GGC Unicancer [16].”
MethodCharacterising splicing defects of ABCA4 variants within exons 13-50 in patient-derived fibroblasts.
Huang, D., Thompson, J. A., Chen, S., Adams, A., Pitout, I. L., Lima, A., Zhang, D., Jeffery, R. C. H., Attia, M., McLaren, T., et al. (2022) · Experimental Eye Research · doi:10.2139/ssrn.4113528 · Cited by 7
López‐Rodríguez, R., Pozo‐Valero, M. D., Cortón, M., Mínguez, P., Ruiz‐Hornillos, J., Pérez-Tomás, M. E., Barreda‐Sánchez, M., Mancebo, E., Villaverde, C., Núñez‐Moreno, G., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14035-x · Cited by 11
Piñero, T. A., Soukarieh, O., Rolain, M., Álvarez, K., López-Köstner, F., Torrezan, G. T., Carraro, D. M., Nascimento, I., Bomfim, T. F., Machado-Lopes, T. M. B., et al. (2020) · Familial Cancer · doi:10.1007/s10689-020-00182-5 · Cited by 8
Caleca, L., Colombo, M., Hansen, T. V. O., Lázaro, C., Manoukian, S., Parsons, M., Spurdle, A., & Radice, P. (2019) · Cancers · doi:10.3390/cancers11020151 · Cited by 7
Германович, Б. Д., Афанасьевна, М. Г., Сергеевич, К. Н., Анатольевна, Т. Е., Платонова, Н. М., Эдуардович, В. В., Юрьевна, Ю. М., & Валерьевна, М. Н. (2015) · CyberLeninK (CyberLeninka) · doi:10.14341/serg7768-5615 · Cited by 7
Kerr, S. M., Klarić, L., Muckian, M. D., Cowan, E., Snadden, L., Tzoneva, G., Shuldiner, A. R., Miedzybrodzka, Z., & Wilson, J. F. (2024) · European Journal of Human Genetics · doi:10.1038/s41431-024-01704-w · Cited by 5
“Experimental evidence in vitro supports these bioinformatic predictions [16, 17].”
Pace, N., Pace-Bardon, M., & Borg, I. (2020) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.1528 · Cited by 6
“The predictions from both Human Splicing Finder (HSF) and MaxEntScan (MES) are deleterious according to Houdayer's criteria (Houdayer, 2011; Houdayer et al., 2012).”
MethodWangensteen, T., Felde, C. N., Ahmed, D., Mæhle, L., & Ariansen, S. (2019) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-019-0113-9 · Cited by 6
In vivo and In vitro methods to identify DNA sequence variants that alter RNA Splicing
Patel, P. N., Gorham, J., Ito, K., & Seidman, C. (2018) · Current Protocols in Human Genetics · doi:10.1002/cphg.60 · Cited by 6
“Software programs exist that predict whether any of these VUS have an effect on splicing; however, the poor specificity of these tools prevents their reliable application to variant interpretation (Houdayer et al., 2012; Jian, Boerwinkle, & Liu, 2014; Vreeswijk et al., 2009).”
BackgroundAoyama, Y., Sasai, H., Abdelkreem, E., Otsuka, H., Nakama, M., Kumar, S., Aroor, S., Shukla, A., & Fukao, T. (2017) · Molecular Medicine Reports · doi:10.3892/mmr.2017.6434 · Cited by 6
“It seems that our knowledge about the splicing process has yet to be optimized (26,30).”
Pros and cons of HaloPlex enrichment in cancer predisposition genetic diagnosis
Collet, A., Tarabeux, J., Girard, E., d'Enghien, C. D., Golmard, L., Deshaies, V., Lermine, A., Laugé, A., Moncoutier, V., Lefol, C., et al. (2015) · AIMS Genetics · doi:10.3934/genet.2015.4.263 · Cited by 6
“Region of interest (ROI) was defined as coding sequences and flanking splice consensus sequences from genes of interest (padding: −20/+10 bp) with 13,266 different amplicons [7].”
MethodSelf-citationMinucci, A., Lalle, M., Leo, R. D., Mazzuccato, G., Scambia, G., Urbani, A., Fagotti, A., Concolino, P., & Capoluongo, E. (2019) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2018.10.004 · Cited by 6
(2024) · doi:10.3390/neurolint16010015 · Cited by 5
“The %variance of MES reflects the difference between the wild-type and mutant MES, expressed as a percentage of wild-type MES [11].”
BackgroundGuo, Q., Ji, S.-T., Takeuchi, K., Urasaki, W., Suzuki, A., Iwasaki, Y., Saito, H., Xu, Z., Arai, M., Nakamura, S., et al. (2023) · Journal of Human Genetics · doi:10.1038/s10038-023-01194-6 · Cited by 5
“We believe that the present study provides a functional evaluation approach for the advancement of precision medicine.”
MethodAnalyzing the effects of BRCA1/2 variants on mRNA splicing by minigene assay
Dong, Z., Wang, Y., Zhang, J., Zhu, F.-W., Liu, Z., Kang, Y., Lin, M., & Shi, H. (2022) · Journal of Human Genetics · doi:10.1038/s10038-022-01077-2 · Cited by 5
“…et al., 2012 [24] BRCA2 c.9502-12 T > G Intron25 No affect No affect Houdayer et al., 2012 [35] BRCA1 c.5406+ 8 T > C Intron22 No affect No affect Houdayer et al., 2012 [35] BRCA2 c.8954-15 T > G Intron22 Ex23_14-nt insertion CTTTCTCCAAACAGa Ex23_14-nt insertion CTTTCTCCAAACAG Menéndez et al.,…”
BackgroundRayani, K., Davies, B., Cheung, M., Comber, D., Roberts, J. D., Tadros, R., Green, M., Healey, J., Simpson, C., Sanatani, S., et al. (2022) · European Journal of Human Genetics · doi:10.1038/s41431-022-01193-9 · Cited by 5
“Other groups have shown this tool to be highly accurate when analyzing splice donor sites [29] and Jian et al.”
MethodValenzuela-Palomo, A., Sanoguera-Miralles, L., Bueno-Martínez, E., Esteban-Sánchez, A., Llinares-Burguet, I., García-Álvarez, A., Pérez-Segura, P., Gómez-Barrero, S., de la Hoya, M., & Velasco-Sampedro, E. A. (2022) · Cancers · doi:10.3390/cancers14184541 · Cited by 5
“Candidate variants were analyzed under the following criteria [28]: (i) splice site disruption at the ±1,2 (AG/GT) positions and (ii) relevant MES score changes (≥15%) [33,34].”
Xia, Z., Lin, J., Lu, L., Kim, C., Yu, P., & Qi, M. (2018) · Blood Coagulation and Fibrinolysis · doi:10.1097/mbc.0000000000000730 · Cited by 5
High Frequency Actionable Pathogenic Exome Mutations in an Average-Risk CohortPreprint
Rego, S. M., Dagan‐Rosenfeld, O., Zhou, W., Sailani, M. R., Limcaoco, P., Colbert, E., Avina, M., Wheeler, J., Craig, C. M., Salins, D. N., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/151225 · Cited by 5
“Splice site predictors are only slightly more accurate (Vreeswijk et al. 2009; Houdayer et al. 2012).”
BackgroundAlphaMissense for Identifying Pathogenic Missense Mutations in DNA Damage Repair Genes in Cancer
Yazaki, S., Pei, X., Powell, S. N., Khan, A. J., Setton, J. S., & Riaz, N. (2025) · JCO Precision Oncology · doi:10.1200/po-24-00908 · Cited by 4
Reclassification of Five BRCA1/2 Variants with Unknown Significance Using Complex Functional Study
Bozsik, A., Papp, J., Grolmusz, V. K., Patócs, A., Oláh, E., & Butz, H. (2022) · Cancer Research and Treatment · doi:10.4143/crt.2021.1078 · Cited by 5
Bouras, A., Lafaye, C., Léoné, M., Kherraf, Z., Martin-Denavit, T., Fert-Ferrer, S., Calender, A., & Boutry-Kryza, N. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23020667 · Cited by 4
“The recommendations of the French Unicancer genetic Group were followed for the interpretation of the results [27].”
MethodHauke, J., Wappenschmidt, B., Faust, U., Niederacher, D., Wiesmüller, L., Schmidt, G., Groß, E., Meindl, A., Gehrig, A., Sutter, C., et al. (2021) · Senologie - Zeitschrift für Mammadiagnostik und -therapie · doi:10.1055/a-1342-5231 · Cited by 4
Yang, C.-Y., Ceyhan-Birsoy, O., Mandelker, D., Jairam, S., Catchings, A., O'Reilly, E., Walsh, M., & Zhang, L.-Y. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4980-y · Cited by 4
“Despite the variability in their predictions, they have been reported to have high sensitivity to predict splice sites, although their specificity may be low [32, 33].”
Fu, J., Lai, F., Chen, Y., Wan, X., Wei, G., Li, Y.-H., Xiao, H.-M., & Cao, X. (2018) · Journal of Endocrinological Investigation · doi:10.1007/s40618-017-0817-5 · Cited by 4
Yoon, K., Kong, S.-Y., Lee, E. J., Cho, J. N., Chang, S., & Lee, E. S. (2017) · Journal of Breast Cancer · doi:10.4048/jbc.2017.20.3.310 · Cited by 4
“Splicing variants in exons 19−21 of the BRCA1 gene that cause exon skipping or intron retention due to aberrant splicing have been reported in patients with breast cancers [10,14].”
BackgroundNew Molecular Diagnosis Approaches — From the Identification of Mutations to their Characterization
Bergougnoux, A., Taulan-Cadars, M., Claustres, M., & Raynal, C. (2015) · InTech eBooks · doi:10.5772/60679 · Cited by 4
The contribution of non-canonical splicing mutations to severe dominant developmental disordersPreprint
Lord, J., Gallone, G., Short, P. J., McRae, J. F., Ironfield, H., Elizabeth, H., Wynn, Gerety, S., He, L., Kerr, B., et al. (2018) · bioRxiv · doi:10.1101/256636 · Cited by 3
Nakahara, H., Niitsu, H., Toshida, A., Goto, K., Yamauchi, M., Saipova, K., Hayes, C. N., Hinata, N., Oka, S., & Hinoi, T. (2026) · European Journal of Human Genetics · doi:10.1038/s41431-026-02058-1 · Cited by 3
“Compared with Bose ’ s study, which suggested PS3_Moderate evidence, our work further contributed PS1 (Splicing)_Moderate based on similarity to other splice donor variants such as BRCA2 :c.67+1 A > G and BRCA2 :c.67+2 T > C (See also Supplementary Table S4) [32, 33].”
Evaluation of pathogenicity of WT1 intron variants by in vitro splicing analysis
Inoue, S., Kondo, A., Inoki, Y., Ichikawa, Y., Tanaka, Y., Ueda, C., Kitakado, H., Suzuki, R., Okada, E., Sakakibara, N., et al. (2024) · Clinical and Experimental Nephrology · doi:10.1007/s10157-024-02510-w · Cited by 3
Fan, K., Guo, Y., Song, Z., Yuan, L.-M., Zheng, W., Hu, X., Gong, L., & Deng, H. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1091323 · Cited by 3
“In addition to determining the loss of wild-type splice sites, it is also necessary to find cryptic sites that may be used by the splicing mechanism because new splice sites close to the destroyed wild-type site possibly only lead to the deletion or insertion of a few amino acids (Houdayer et al., 2012).”
BackgroundDragos, V., Strojnik, K., Klančar, G., Škerl, P., Stegel, V., Blatnik, A., Banjac, M., Krajc, M., & Novaković, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137446 · Cited by 3
“It is estimated that 15–25% of DNA variants in hereditary cancer genes cause mis-splicing [5].”
BackgroundInfluentialCharacterization of Synonymous BRCA1:c.132C>T as a Pathogenic Variant
Li, J., Wang, P.-L., Zhang, C., Han, S., Xiao, H., Liu, Z., Wang, X., Liu, W.-L., Wei, B., Ma, J., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2021.812656 · Cited by 3
The Interpretation of Sequence Variants in Myeloid Neoplasms
Hanbazazh, M., Harada, S., Reddy, V., Mackinnon, A. C., Harbi, D., & Morlote, D. M. (2021) · American Journal of Clinical Pathology · doi:10.1093/ajcp/aqab039 · Cited by 4
Translating RNA Splicing Analysis into Diagnosis and Therapy
Douglas, A. G. L., & Baralle, D. (2021) · OBM Genetics · doi:10.21926/obm.genet.2101125 · Cited by 3
“understanding of how such complexes are regulated, it is not surprising that these predictions often turn out to be wrong [8-10].”
BackgroundProtein haploinsufficiency drivers identify MYBPC3 mutations that cause hypertrophic cardiomyopathy
Suay-Corredera, C., Pricolo, M. R., Herrero-Galan, E., Velazquez-Carreras, D., Sanchez-Ortiz, D., Garcia-Giustiniani, D., Delgado, J., Galano-Frutos, J. J., Garcia-Cebollada, H., Vilches, S., et al. (2020) · medRxiv · doi:10.1101/2020.05.04.20087726 · Cited by 3
Canson, D., Parsons, M., Moir-Meyer, G., Dumenil, T., Montalban, G., Lin, E., McVeigh, T. P., Davidson, A. L., Bouckaert, S. M., Trau, M., et al. (2025) · Genome Research · doi:10.1101/gr.279557.124 · Cited by 2
“…et al. 2014; Li et al. 2022), BRCA1 c.190T>G ( Δ 5q22) (Yang et al. 2003), BRCA1 c.4097-2A>G ( ▾ 12p1) (Leman et al. 2018), BRCA2 c.572A>G ( Δ 7q60) (Gaildrat et al. 2012; Fraile-Bethencourt et al. 2019), and BRCA2 c.681+4A>G ( ▾ 8q4) (Houdayer et al. 2012; Fraile-Bethencourt et al. 2019).”
Molecular analysis of BRCA1 and BRCA2 genes in La Rioja (Spain): five new variants
Saez, R. S., Zorrilla, M., Sánchez, R., Cebollero, A., Manrique, I., Martín, A., de Ávila, L. G., Lacalle-Emborujo, A., Martin-Rodriguez, S., Bernardo-González, I., et al. (2024) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-024-00296-2 · Cited by 2
“The c.632–3 C > G variant in BRCA2 was classified as pathogenic by Houdayer et al. [40].”
BackgroundUnpredicted Aberrant Splicing Products Identified in Postmortem Sudden Cardiac Death Samples
Coll, M., Fernández-Falgueras, A., Iglesias, A., del Olmo, B., Nogué-Navarro, L., Simon, A. R., Serra, A. P., Puigmulé, M., López, L., Picó, F., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232012640 · Cited by 2
Gibson, J., Sadeghi-Alavijeh, O., Gale, D., Rothe, H., Savige, J., Ambrose, J., Arumugam, P., Baple, E., Bleda, M., Boardman-Pretty, F., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14928-x · Cited by 2
Dragos, V., Stegel, V., Blatnik, A., Klančar, G., Krajc, M., & Novaković, S. (2021) · Biology · doi:10.3390/biology10080706 · Cited by 2
“Crucial for any RNAseq experiment is its ability to accurately detect splicing impairment [24].”
BackgroundEmpirical prediction of variant-associated cryptic-donors with 87% sensitivity and 95% specificity
Dawes, R., Joshi, H., & Cooper, S. (2021) · bioRxiv · doi:10.1101/2021.07.18.452855 · Cited by 2
Januel, L., Chanavat, V., Rollat-Farnier, P., Bardel, C., Nony, S., Millat, G., & Janin, A. (2021) · DNA and Cell Biology · doi:10.1089/dna.2020.6305 · Cited by 2
“Cutoff values used were based on those previously determined by Houdayer et al. (2012).”
Metadata
- Authors
- Houdayer, C., Caux-Moncoutier, V., Krieger, S., Barrois, M., Bonnet, F., Bourdon, V., Bronner, M., Buisson, M., Coulet, F., Gaildrat, P., Lefol, C., Léone, M., Mazoyer, S., Muller, D., Remenieras, A., Révillion, F., Rouleau, E., Sokolowska, J., Vert, J.-P., Lidereau, R., Soubrier, F., Sobol, H., Sevenet, N., Bressac-de Paillerets, B., Hardouin, A., Tosi, M., Sinilnikova, O. M., & Stoppa-Lyonnet, D.
- Affiliations
- Sorbonne Paris Cité (FR)
- Centre François Baclesse (FR)
- Institut Gustave Roussy (FR)
- Inserm (FR)
- Institut Paoli-Calmettes (FR)
- Centre Hospitalier Régional et Universitaire de Nancy (FR)
- Lyon 1 Université (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Hôpital René Huguenin (FR)
- Institut Strauss (FR)
- Corresponding author
- Houdayer, Claude
- ORCID
- Venue
- Human Mutation
- Publisher
- Hindawi Limited
- Published
- 2012-05-11
- Volume
- 33
- Issue
- 8
- Pages
- 1228-1238
- ISSN
- 1059-7794 (ISSN-L)
- OpenAlex
- W1975196485
- Cited by
- 239
- References
- 0
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 11 · 2023: 6 · 2022: 25 · 2021: 27 · 2020: 22 · 2019: 23 · 2018: 27 · 2017: 23 · 2016: 14 · 2015: 22 · 2014: 11 · 2013: 17 · 2012: 3
- FWCI
- 10.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Mutation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- BRCA1, BRCA2, variants of uncertain significance, splicing, splice site prediction, in silico tools, transcript analysis, variant interpretation, molecular diagnosis
- MeSH terms
- Exons, Female, Humans, RNA Splicing, BRCA1 Protein, BRCA2 Protein, Pathology, Molecular
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review