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Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 × 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 × 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.

Mutations in the currently known breast cancer susceptibility genes account for only 25–30% of all familial cases. Novel susceptibility genes can be identified by several methods, including candidate gene re-sequencing and genome-wide microarrays. We have applied microarrays for the detection of a new genomic variation class, copy number variants (CNVs), which potentially could disrupt genes in multiple pathways related to breast cancer susceptibility. The aim of the current study was to evaluate the role of the RNF8, UBC13, MMS2 and RAD51C DNA damage response genes in breast cancer susceptibility as well as to study if rare CNVs are associated with the predisposition to this disease. The analysis of 123 familial breast cancer cases revealed altogether nine different changes in the RNF8 and UBC13 candidate genes. However, none of the observed alterations were considered pathogenic. No alterations were observed in MMS2. The obtained results suggest that breast cancer predisposing alterations in RNF8, UBC13 and MMS2 are rare, or even absent. The RAD51C mutation screening of 147 familial breast cancer cases and 232 unselected ovarian cancer cases revealed two deleterious mutations: c.-13_14del27 was observed in a breast cancer case with familial history of ovarian cancer and c.774delT in an ovarian cancer case. Both mutations were absent in the control cohort. The results of the study support the hypothesis that rare variants of RAD51C predispose predominantly to ovarian cancer. A genome-wide scan of CNVs was performed for 103 familial breast cancer cases and 128 controls. The biological networks of the genes disrupted by CNVs were different between the two groups. In familial breast cancer cases, the observed mutations disrupted genes, which were significantly overrepresented in cellular functions related to maintenance of genomic integrity (P=0.0211). Biological network analysis showed that the disrupted genes were closely related to estrogen signaling and TP53-centered tumor suppressor network, and this result was confirmed by the analysis of an independent young breast cancer cohort of 75 cases. These results suggest that rare CNVs represent an alternative source of genetic variation contributing to hereditary risk for breast cancer. Tiivistelmä Tunnetut rintasyöpäalttiusgeenien mutaatiot selittävät vain 25–30 prosenttia kaikista perinnöllisistä rintasyöpätapauksista. Uusia alttiusgeenejä voidaan tunnistaa useilla eri menetelmillä, kuten kandidaattigeenien mutaatiokartoituksella ja genomin-laajuisilla mikrosirutekniikoilla. Tässä tutkimuksessa sovelsimme mikrosirutekniikkaa uuden geneettisen variaatioluokan, kopiolukuvariaation (CNV), tutkimiseen. CNV:t voivat vaurioittaa lukuisia rintasyöpäalttiuteen liittyviä biokemiallisia reittejä. Tämän tutkimuksen tarkoitus oli arvioida RNF8-, UBC13-, MMS2- ja RAD51C -DNA- vauriovastegeenien sekä harvinaisten CNV:iden yhteyttä rintasyöpä-alttiuteen. 123 familiaalisen rintasyöpätapauksen analyysissä löytyi yhteensä yhdeksän muutosta RNF8- ja UBC13-geeneistä, joista yksikään ei osoittautunut patogeeniseksi. MMS2-geenissä ei havaittu muutoksia. Tulosten perusteella rintasyövälle altistavat muutokset RNF8-, UBC13- ja MMS2- geeneissä ovat joko erittäin harvinaisia tai niitä ei esiinny lainkaan. RAD51C-geenin mutaatiokartoitus 147 familiaalisesta rintasyöpätapauksesta sekä 232 valikoimattomasta munasarjasyöpätapauksesta paljasti kaksi haitallista mutaatiota. c.-13_14del27 havaittiin rintasyöpäpotilaalla, jonka suvussa esiintyi munasarjasyöpää, ja c.774delT todettiin munasarjasyöpäpotilaalta. Kumpaakaan mutaatiota ei havaittu verrokkiaineistossa. Tulokset vahvistavat hypoteesia RAD51C-geenin harvinaisten varianttien yhteydestä pääasiassa munasarjasyöpäriskiin. CNV:iden genomin-laajuinen skannaaminen suoritettiin 103 familiaaliselle rintasyöpätapaukselle ja 128 verrokille. CNV:iden häiritsemien geenien muodostamat biologiset verkostot olivat erilaiset näiden kahden ryhmän välillä. Familiaalisilla rintasyöpätapauksilla havaitut CNV:t vaikuttivat geeneihin, jotka olivat voimakkaasti korostuneita genomin eheyttä ylläpitävissä tehtävissä (P=0.0211). Biologisten verkostojen analyysi paljasti, että CNV:iden vahingoittamat geenit liittyivät läheisesti estrogeenisignalointiin sekä TP53-tuumorisupressoriverkostoon, ja tämä tulos vahvistettiin analysoimalla riippumatonta nuorista rintasyöpäpotilaista koostuvaa kohorttia (N=75). Tutkimuksen tulosten mukaan harvinaiset CNV:t ovat vaihtoehtoinen geneettisen variaation lähde perinnölliseen rintasyöpäalttiuteen.

Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 x 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 x 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk. ispartof: PLoS One vol:11 issue:5 ispartof: location:United States status: published