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
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
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 3.23x10-8. 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 comprised of ?70-80% truncating transcripts, and ?20-30% of in-frame ?9,10 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.
2256-2268
de la Hoya, M.
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Vega, A.
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Rubinstein, W.
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Hulick, P.J.
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June 2016
de la Hoya, M.
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Soukarieh, O.
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López-Perolio, I.
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Vega, A.
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Walker, L.C.
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van Ierland, Y.
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Baralle, D.
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Santamariña, M.
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Lattimore, V.
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Wijnen, J.
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Whiley, P.
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Blanco, A.
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Raponi, M.
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Hauke, J.
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Arnold, N.
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