Oncology

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.

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 Δ9,10 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.

  • Authors: Miguel de la Hoya; Omar Soukarieh; Irene López-Perolio; Ana Vega; Logan C. Walker; Yvette van Ierland; Diana Baralle; Marta Santamariña; Vanessa Lattimore; Juul Wijnen; Philip Whiley; Ana Blanco; Michela Raponi; Jan Hauke; Barbara Wappenschmidt; Alexandra Becker; Thomas V. O. Hansen; Raquel Behar; KConFaB Investigators; Diether Niederacher; Norbert Arnold; Bernd Dworniczak; Doris Steinemann; Ulrike Faust; Wendy Rubinstein; Peter J. Hulick; Claude Houdayer; Sandrine M. Caputo; Laurent Castera; Tina Pesaran; Elizabeth C. Chao; Carole Brewer; Melissa C. Southey; Christi J. van Asperen; Christian F. Singer; Jan Sullivan; Nicola Poplawski; Phuong Mai; Julian Peto; Nichola Johnson; Barbara Burwinkel; Harald Surowy; Stig E. Bojesen; Henrik Flyger; Annika Lindblom; Sara Margolin; Jenny Chang-Claude; Anja Rudolph; Paolo Radice; Laura Galastri; Janet E. Olson; Emily Hallberg; Graham G. Giles; Roger L. Milne; Irene L. Andrulis; Gord Glendon; Per Hall; Kamila Czene; Fiona Blows; Mitul Shah; Qin Wang; Joe Dennis; Kyriaki Michailidou; Lesley McGuffog; Manjeet K. Bolla; Antonis C. Antoniou; Douglas F. Easton; Fergus J. Couch; Sean Tavtigian; Maaike P. Vreeswijk; Michael Parsons; Huong D. Meeks; Alexandra Martins; David E. Goldgar; Amanda B. Spurdle
  • Collaborators: ENIGMA; NorthShore Research Institute
  • Journal: Human Molecular Genetics
  • Date: 2016 - Jun

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