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      Identification of candidate cancer predisposing variants by performing whole-exome sequencing on index patients from BRCA1 and BRCA2-negative breast cancer families

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          Abstract

          Background

          In the majority of familial breast cancer (BC) families, the etiology of the disease remains unresolved. To identify missing BC heritability resulting from relatively rare variants (minor allele frequency ≤ 1%), we have performed whole exome sequencing followed by variant analysis in a virtual panel of 492 cancer-associated genes on BC patients from BRCA1 and BRCA2 negative families with elevated BC risk.

          Methods

          BC patients from 54 BRCA1 and BRCA2-negative families with elevated BC risk and 120 matched controls were considered for germline DNA whole exome sequencing. Rare variants identified in the exome and in a virtual panel of cancer-associated genes [492 genes associated with different types of (hereditary) cancer] were compared between BC patients and controls. Nonsense, frame-shift indels and splice-site variants (strong protein-damaging variants, called PDAVs later on) observed in BC patients within the genes of the panel, which we estimated to possess the highest probability to predispose to BC, were further validated using an alternative sequencing procedure.

          Results

          Exome- and cancer-associated gene panel-wide variant analysis show that there is no significant difference in the average number of rare variants found in BC patients compared to controls. However, the genes in the cancer-associated gene panel with nonsense variants were more than two-fold over-represented in women with BC and commonly involved in the DNA double-strand break repair process. Approximately 44% (24 of 54) of BC patients harbored 31 PDAVs, of which 11 were novel. These variants were found in genes associated with known or suspected BC predisposition ( PALB2, BARD1, CHEK2, RAD51C and FANCA) or in predisposing genes linked to other cancer types but not well-studied in the context of familial BC ( EXO1, RECQL4, CCNH, MUS81, TDP1, DCLRE1A, DCLRE1C, PDE11A and RINT1) and genes associated with different hereditary syndromes but not yet clearly associated with familial cancer syndromes ( ABCC11, BBS10, CD96, CYP1A1, DHCR7, DNAH11, ESCO2, FLT4, HPS6, MYH8, NME8 and TTC8). Exome-wide, only a few genes appeared to be enriched for PDAVs in the familial BC patients compared to controls.

          Conclusions

          We have identified a series of novel candidate BC predisposition variants/genes. These variants/genes should be further investigated in larger cohorts/case-control studies. Other studies including co-segregation analyses in affected families, locus-specific loss of heterozygosity and functional studies should shed further light on their relevance for BC risk.

          Electronic supplementary material

          The online version of this article (10.1186/s12885-019-5494-7) contains supplementary material, which is available to authorized users.

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          Most cited references23

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Toward better understanding of artifacts in variant calling from high-coverage samples.

            Heng Li (2014)
            Whole-genome high-coverage sequencing has been widely used for personal and cancer genomics as well as in various research areas. However, in the lack of an unbiased whole-genome truth set, the global error rate of variant calls and the leading causal artifacts still remain unclear even given the great efforts in the evaluation of variant calling methods. We made 10 single nucleotide polymorphism and INDEL call sets with two read mappers and five variant callers, both on a haploid human genome and a diploid genome at a similar coverage. By investigating false heterozygous calls in the haploid genome, we identified the erroneous realignment in low-complexity regions and the incomplete reference genome with respect to the sample as the two major sources of errors, which press for continued improvements in these two areas. We estimated that the error rate of raw genotype calls is as high as 1 in 10-15 kb, but the error rate of post-filtered calls is reduced to 1 in 100-200 kb without significant compromise on the sensitivity. BWA-MEM alignment and raw variant calls are available at http://bit.ly/1g8XqRt scripts and miscellaneous data at https://github.com/lh3/varcmp. hengli@broadinstitute.org Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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              Realizing the promise of cancer predisposition genes.

              Genes in which germline mutations confer highly or moderately increased risks of cancer are called cancer predisposition genes. More than 100 of these genes have been identified, providing important scientific insights in many areas, particularly the mechanisms of cancer causation. Moreover, clinical utilization of cancer predisposition genes has had a substantial impact on diagnosis, optimized management and prevention of cancer. The recent transformative advances in DNA sequencing hold the promise of many more cancer predisposition gene discoveries, and greater and broader clinical applications. However, there is also considerable potential for incorrect inferences and inappropriate clinical applications. Realizing the promise of cancer predisposition genes for science and medicine will thus require careful navigation.
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                Author and article information

                Contributors
                rajendra.bahadur.shahi@vub.be
                Sylvia.DeBrakeleer@uzbrussel.be
                Ben.Caljon@uzbrussel.be
                Ingrid.Pauwels@uzbrussel.be
                Maryse.Bonduelle@uzbrussel.be
                Sofie.Joris@uzbrussel.be
                Christel.Fontaine@uzbrussel.be
                Marian.Vanhoeij@uzbrussel.be
                Sonia.VanDooren@uzbrussel.be
                eteugels@uzbrussel.be
                Jacques.DeGreve@uzbrussel.be
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                4 April 2019
                4 April 2019
                2019
                : 19
                : 313
                Affiliations
                [1 ]ISNI 0000 0001 2290 8069, GRID grid.8767.e, Laboratory of Medical and Molecular Oncology (LMMO), , Vrije Universiteit Brussel (VUB), ; Brussels, Belgium
                [2 ]ISNI 0000 0004 0626 3362, GRID grid.411326.3, Brussels Interuniversity Genomics High Throughput core (BRIGHTcore) platform, , Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), ; Brussels, Belgium
                [3 ]ISNI 0000 0004 0626 3362, GRID grid.411326.3, Breast Cancer Clinic, Oncologisch Centrum, , Universitair Ziekenhuis Brussel (UZ Brussel), ; Brussels, Belgium
                [4 ]ISNI 0000 0004 0626 3362, GRID grid.411326.3, Familial Cancer Clinic, Oncologisch Centrum, , Universitair Ziekenhuis Brussel (UZ Brussel), ; Brussels, Belgium
                [5 ]ISNI 0000 0004 0626 3362, GRID grid.411326.3, Centre for Medical Genetics, Reproduction and Genetics, , Universitair Ziekenhuis Brussel (UZ Brussel) / Vrije Universiteit Brussel (VUB), ; Brussels, Belgium
                Author information
                http://orcid.org/0000-0002-7751-6852
                Article
                5494
                10.1186/s12885-019-5494-7
                6449945
                30947698
                817550e9-d310-4f47-9ecf-53655166bcb2
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 28 August 2018
                : 20 March 2019
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Oncology & Radiotherapy
                familial breast cancer,missing heritability,brca1 and brca2-negative,whole exome sequencing,candidate breast cancer predisposing genes/variants

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