Abstract A37: Complex landscape of germline variants in hereditary and early-onset breast cancer ascertained through whole exome sequencing
When considering family history, hereditary breast cancer (HBC) syndromes correspond to nearly 5-10% of all breast cancer (BC) cases. However, pathogenic variants in known moderate- and high-risk BC genes explain only ~30% of familial BC cases. Recent advances in sequencing technology resulted in an...
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Veröffentlicht in: | Clinical cancer research 2018-01, Vol.24 (1_Supplement), p.A37-A37 |
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Sprache: | eng |
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Zusammenfassung: | When considering family history, hereditary breast cancer (HBC) syndromes correspond to nearly 5-10% of all breast cancer (BC) cases. However, pathogenic variants in known moderate- and high-risk BC genes explain only ~30% of familial BC cases. Recent advances in sequencing technology resulted in an increasing number of BC genes being revealed in previously negative families by using extended gene panels and whole-exome sequencing (WES). WES offers the opportunity to concomitantly investigate several rare risk genes as well as to identify new BC-predisposing genes. Thus, in this study we used WES to disclose variants contributing to BC increased risk in patients that were negative for mutations in three major BC genes (BRCA1/2 and TP53) and met stringent clinical criteria indicating a genetic predisposition to BC. We selected 17 women (two of them sisters) who fulfilled one or more of the following criteria: early onset BC (2, FS 0.01 or present in five BRCA1 mutated patients sequenced in the same platforms. Next, using a functional-based variant prioritization, we selected candidate variants according to the predicted impact in the protein function, the affected gene, and segregation with the phenotype (in the family-based study of the two sisters). Candidate variants included all loss-of-function variants as well as missense and in-frame indels occurring in a specific list of 651 genes of interest (DNA repair and cancer-related genes) and if predicted to be damaging by at least 3/6 prediction software. The resulting 244 selected variants were submitted |
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ISSN: | 1078-0432 1557-3265 |
DOI: | 10.1158/1557-3265.TCM17-A37 |