Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms

Miguel de la Hoya(Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Omar Soukarieh(Inserm), Irene López‐Perolio(Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Ana Vega(Fundación Pública Galega de Medicina Xenómica), Logan C. Walker(University of Otago), Yvette van Ierland(Leiden University), Diana Baralle(University of Southampton), Marta Santamariña(Universidade de Santiago de Compostela), Vanessa Lattimore(University of Otago), Juul Wijnen(Leiden University), Philip J. Whiley(QIMR Berghofer Medical Research Institute), Ana Blanco(Fundación Pública Galega de Medicina Xenómica), Michela Raponi(University of Southampton), Jan Hauke(University Hospital Cologne), Barbara Wappenschmidt(University Hospital Cologne), Alexandra Becker(University Hospital Cologne), Thomas van Overeem Hansen(Copenhagen University Hospital), Raquel Behar(Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), kConFab Investigators(The University of Melbourne), Diether Niederacher(Düsseldorf University Hospital), Norbert Arnold(Christian-Albrechts-Universität zu Kiel), Bernd Dworniczak(University of Münster), Doris Steinemann(Medizinische Hochschule Hannover), Ulrike Faust(University of Tübingen), Wendy S. Rubinstein(National Institutes of Health), Peter J. Hulick(NorthShore University HealthSystem), Claude Houdayer(Inserm), Sandrine M. Caputo(Institut Curie), Laurent Castéra(Centre François Baclesse), Tina Pesaran(Ambry Genetics (United States)), Elizabeth Chao(Ambry Genetics (United States)), Carole Brewer(Royal Devon and Exeter Hospital), Melissa C. Southey(The University of Melbourne), Christi J. van Asperen(Leiden University), Christian F. Singer(Medical University of Vienna), Jan Sullivan(Christchurch Hospital), Nicola Poplawski(South Australia Pathology), Phuong Mai(National Institutes of Health), Julian Peto(University of London), Nichola Johnson(Institute of Cancer Research), Barbara Burwinkel(German Cancer Research Center), Harald Surowy(German Cancer Research Center), Stig E. Bojesen(University of Copenhagen), Henrik Flyger(Gentofte Hospital), Annika Lindblom(Karolinska Institutet), Sara Margolin(Karolinska Institutet), Jenny Chang‐Claude(Universität Hamburg), Anja Rudolph(German Cancer Research Center), Paolo Radice(Fondazione IRCCS Istituto Nazionale dei Tumori), Laura Galastri, Janet E. Olson(Mayo Clinic in Florida), Emily Hallberg(Mayo Clinic in Florida), Graham G. Giles(The University of Melbourne), Roger L. Milne(The University of Melbourne), Irene L. Andrulis(Mount Sinai Hospital), Gord Glendon(Mount Sinai Hospital), Per Hall(Karolinska Institutet), Kamila Czene(Karolinska Institutet), Fiona M. Blows(University of Cambridge), Mitul Shah(University of Cambridge), Qin Wang(University of Cambridge), Joe Dennis(University of Cambridge), Kyriaki Michailidou(University of Cambridge), Lesley McGuffog(University of Cambridge), Manjeet K. Bolla(University of Cambridge), Antonis C. Antoniou(University of Cambridge), Douglas F. Easton(University of Cambridge), Fergus J. Couch(Mayo Clinic), Sean V. Tavtigian, Maaike P.G. Vreeswijk(Leiden University), Michael T. Parsons(QIMR Berghofer Medical Research Institute), Huong Meeks, Alexandra Martins(Inserm), David E. Goldgar(University of Utah), Amanda B. Spurdle(QIMR Berghofer Medical Research Institute)
Human Molecular Genetics
March 23, 2016
Cited by 90Open Access
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Abstract

A recent analysis using family history weighting and co-observation classification modeling indicated that BRCA1 c.594-2A > C (IVS9-2A > C), previously described to cause exon 10 skipping (a truncating alteration), displays characteristics inconsistent with those of a high risk pathogenic BRCA1 variant. We used large-scale genetic and clinical resources from the ENIGMA, CIMBA and BCAC consortia to assess pathogenicity of c.594-2A > C. The combined odds for causality considering case-control, segregation and breast tumor pathology information was 3.23 10 8 . Our data indicate that c.594-2A > C is always in cis with c.641A > G. The spliceogenic effect of c.[594-2A > C;641A > G] was characterized using RNA analysis of human samples and splicing minigenes. As expected, c.[594-2A > C; 641A > G] caused exon 10 skipping, albeit not due to c.594-2A > C impairing the acceptor site but rather by c.641A > G modifying exon 10 splicing regulatory element(s). Multiple blood-based RNA assays indicated that the variant allele did not produce detectable levels of full-length transcripts, with a per allele BRCA1 expression profile composed of %70-80% truncating transcripts, and %20-30% of in-frame D9,10 transcripts predicted to encode a BRCA1 protein with tumor suppression function. We confirm that BRCA1c.[594-2A > C;641A > G] should not be considered a high-risk pathogenic variant. Importantly, results from our detailed mRNA analysis suggest that BRCA-associated cancer risk is likely not markedly increased for individuals who carry a truncating variant in BRCA1 exons 9 or 10, or any other BRCA1 allele that permits 20-30% of tumor suppressor function. More generally, our findings highlight the importance of assessing naturally occurring alternative splicing for clinical evaluation of variants in disease-causing genes.


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