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      Evaluating the breast cancer predisposition role of rare variants in genes associated with low-penetrance breast cancer risk SNPs

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          Abstract

          Background

          Genome-wide association studies (GWASs) have identified numerous single-nucleotide polymorphisms (SNPs) associated with small increases in breast cancer risk. Studies to date suggest that some SNPs alter the expression of the associated genes, which potentially mediates risk modification. On this basis, we hypothesised that some of these genes may be enriched for rare coding variants associated with a higher breast cancer risk.

          Methods

          The coding regions and exon-intron boundaries of 56 genes that have either been proposed by GWASs to be the regulatory targets of the SNPs and/or located < 500 kb from the risk SNPs were sequenced in index cases from 1043 familial breast cancer families that previously had negative test results for BRCA1 and BRCA2 mutations and 944 population-matched cancer-free control participants from an Australian population. Rare (minor allele frequency ≤ 0.001 in the Exome Aggregation Consortium and Exome Variant Server databases) loss-of-function (LoF) and missense variants were studied.

          Results

          LoF variants were rare in both the cases and control participants across all the candidate genes, with only 38 different LoF variants observed in a total of 39 carriers. For the majority of genes ( n = 36), no LoF variants were detected in either the case or control cohorts. No individual gene showed a significant excess of LoF or missense variants in the cases compared with control participants. Among all candidate genes as a group, the total number of carriers with LoF variants was higher in the cases than in the control participants (26 cases and 13 control participants), as was the total number of carriers with missense variants (406 versus 353), but neither reached statistical significance ( p = 0.077 and p = 0.512, respectively). The genes contributing most of the excess of LoF variants in the cases included TET2, NRIP1, RAD51B and SNX32 (12 cases versus 2 control participants), whereas ZNF283 and CASP8 contributed largely to the excess of missense variants (25 cases versus 8 control participants).

          Conclusions

          Our data suggest that rare LoF and missense variants in genes associated with low-penetrance breast cancer risk SNPs may contribute some additional risk, but as a group these genes are unlikely to be major contributors to breast cancer heritability.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13058-017-0929-z) contains supplementary material, which is available to authorized users.

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          Most cited references23

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          Genome-wide association study identifies five new breast cancer susceptibility loci.

          Breast cancer is the most common cancer in women in developed countries. To identify common breast cancer susceptibility alleles, we conducted a genome-wide association study in which 582,886 SNPs were genotyped in 3,659 cases with a family history of the disease and 4,897 controls. Promising associations were evaluated in a second stage, comprising 12,576 cases and 12,223 controls. We identified five new susceptibility loci, on chromosomes 9, 10 and 11 (P = 4.6 x 10(-7) to P = 3.2 x 10(-15)). We also identified SNPs in the 6q25.1 (rs3757318, P = 2.9 x 10(-6)), 8q24 (rs1562430, P = 5.8 x 10(-7)) and LSP1 (rs909116, P = 7.3 x 10(-7)) regions that showed more significant association with risk than those reported previously. Previously identified breast cancer susceptibility loci were also found to show larger effect sizes in this study of familial breast cancer cases than in previous population-based studies, consistent with polygenic susceptibility to the disease.
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              Common variants on chromosomes 2q35 and 16q12 confer susceptibility to estrogen receptor-positive breast cancer.

              Familial clustering studies indicate that breast cancer risk has a substantial genetic component. To identify new breast cancer risk variants, we genotyped approximately 300,000 SNPs in 1,600 Icelandic individuals with breast cancer and 11,563 controls using the Illumina Hap300 platform. We then tested selected SNPs in five replication sample sets. Overall, we studied 4,554 affected individuals and 17,577 controls. Two SNPs consistently associated with breast cancer: approximately 25% of individuals of European descent are homozygous for allele A of rs13387042 on chromosome 2q35 and have an estimated 1.44-fold greater risk than noncarriers, and for allele T of rs3803662 on 16q12, about 7% are homozygous and have a 1.64-fold greater risk. Risk from both alleles was confined to estrogen receptor-positive tumors. At present, no genes have been identified in the linkage disequilibrium block containing rs13387042. rs3803662 is near the 5' end of TNRC9 , a high mobility group chromatin-associated protein whose expression is implicated in breast cancer metastasis to bone.
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                Author and article information

                Contributors
                na.li@petermac.org
                simone.rowley@petermac.org
                ella.thompson@petermac.org
                simone.mcinerny@petermac.org
                lisa.devereux@petermac.org
                kaushalya.amarasinghe@petermac.org
                magnus.zethoven@petermac.org
                richard.lupat@petermac.org
                david.goode@petermac.org
                jason.li@petermac.org
                alison.trainer@petermac.org
                kylie.gorringe@petermac.org
                paul.james@petermac.org
                +61 385597109 , ian.campbell@petermac.org
                Journal
                Breast Cancer Res
                Breast Cancer Res
                Breast Cancer Research : BCR
                BioMed Central (London )
                1465-5411
                1465-542X
                9 January 2018
                9 January 2018
                2018
                : 20
                : 3
                Affiliations
                [1 ]ISNI 0000000403978434, GRID grid.1055.1, Cancer Genetics Laboratory, Research Division, , Peter MacCallum Cancer Centre, ; 305 Grattan Street, Melbourne, VIC 3000 Australia
                [2 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Sir Peter MacCallum Department of Oncology, , The University of Melbourne, ; Melbourne, VIC Australia
                [3 ]ISNI 0000000403978434, GRID grid.1055.1, Department of Pathology, , Peter MacCallum Cancer Centre, ; Melbourne, VIC Australia
                [4 ]ISNI 0000000403978434, GRID grid.1055.1, Parkville Familial Cancer Centre, , Peter MacCallum Cancer Centre and Royal Melbourne Hospital, ; Melbourne, VIC Australia
                [5 ]ISNI 0000000403978434, GRID grid.1055.1, LifePool, Peter MacCallum Cancer Centre, ; Melbourne, VIC Australia
                [6 ]ISNI 0000000403978434, GRID grid.1055.1, Bioinformatics & Cancer Genomics Laboratory, , Peter MacCallum Cancer Centre, ; Melbourne, VIC Australia
                [7 ]ISNI 0000000403978434, GRID grid.1055.1, Bioinformatics Core Facility, , Peter MacCallum Cancer Centre, ; Melbourne, VIC Australia
                [8 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Pathology, , University of Melbourne, ; Melbourne, VIC Australia
                [9 ]ISNI 0000000403978434, GRID grid.1055.1, Cancer Genomics Program, Peter MacCallum Cancer Centre, ; Melbourne, VIC Australia
                Article
                929
                10.1186/s13058-017-0929-z
                5761188
                29316957
                8b2f2178-67d2-4260-8573-512c132f648f
                © The Author(s). 2018

                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
                : 26 September 2017
                : 20 December 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001026, National Breast Cancer Foundation;
                Award ID: IF-15-004
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001111, Cancer Australia;
                Award ID: PdCCRS_1107870
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100008018, Victorian Cancer Agency;
                Award ID: Tumor Stream Grant
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: GNT1023698
                Award ID: GNT1041975
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Oncology & Radiotherapy
                familial breast cancer,single-nucleotide polymorphism (snp),predisposition genes,breast cancer susceptibility

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