Abstract

High-grade serous ovarian carcinoma (HGSOC) has a significant hereditary component, approximately half of which cannot be explained by known genes. To discover genes, we analyse germline exome sequencing data from 516 BRCA1/2-negative women with HGSOC, focusing on genes enriched with rare, protein-coding loss-of-function (LoF) variants. Overall, there is a significant enrichment of rare protein-coding LoF variants in the cases (p < 0.0001, chi-squared test). Only thirty-four (6.6%) have a pathogenic variant in a known or proposed predisposition gene. Few genes have LoF mutations in more than four individuals and the majority are detected in one individual only. Forty-three highly-ranked genes are identified with three or more LoF variants that are enriched by three-fold or more compared to GnomAD. These genes represent diverse functional pathways with relatively few involved in DNA repair, suggesting that much of the remaining heritability is explained by previously under-explored genes and pathways.

Around half of the heritability underpinning familial high-grade serous ovarian carcinoma remains unidentified. Here, the authors show that extremely rare protein encoding loss-of-function variants, with a high degree of genetic heterogeneity, may account for some of this missing heritability.

Details

Title
Exome sequencing of familial high-grade serous ovarian carcinoma reveals heterogeneity for rare candidate susceptibility genes
Author
Subramanian, Deepak N 1   VIAFID ORCID Logo  ; Zethoven Magnus 2 ; McInerny, Simone 3 ; Morgan, James A 3   VIAFID ORCID Logo  ; Rowley, Simone M 4 ; Lee Jue Er Amanda 1   VIAFID ORCID Logo  ; Li, Na 1   VIAFID ORCID Logo  ; Gorringe, Kylie L 5   VIAFID ORCID Logo  ; James, Paul A 6   VIAFID ORCID Logo  ; Campbell, Ian G 1   VIAFID ORCID Logo 

 Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434); The University of Melbourne, Sir Peter MacCallum Department of Oncology, Parkville, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X) 
 Peter MacCallum Cancer Centre, Bioinformatics Core Facility, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434) 
 Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, The Parkville Familial Cancer Centre, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434) 
 Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434) 
 The University of Melbourne, Sir Peter MacCallum Department of Oncology, Parkville, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X) 
 Peter MacCallum Cancer Centre, Cancer Genetics Laboratory, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434); The University of Melbourne, Sir Peter MacCallum Department of Oncology, Parkville, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); Peter MacCallum Cancer Centre and The Royal Melbourne Hospital, The Parkville Familial Cancer Centre, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2386368988
Copyright
© Crown 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.