TY - JOUR A1 - Weber-Lassalle, Nana A1 - Hauke, Jan A1 - Ramser, Juliane A1 - Richters, Lisa A1 - Groß, Eva A1 - Blümcke, Britta A1 - Gehrig, Andrea A1 - Kahlert, Anne-Karin A1 - Müller, Clemens R. A1 - Hackmann, Karl A1 - Honisch, Ellen A1 - Weber-Lassalle, Konstantin A1 - Niederacher, Dieter A1 - Borde, Julika A1 - Thiele, Holger A1 - Ernst, Corinna A1 - Altmüller, Janine A1 - Neidhardt, Guido A1 - Nürnberg, Peter A1 - Klaschik, Kristina A1 - Schroeder, Christopher A1 - Platzer, Konrad A1 - Volk, Alexander E. A1 - Wang-Gohrke, Shan A1 - Just, Walter A1 - Auber, Bernd A1 - Kubisch, Christian A1 - Schmidt, Gunnar A1 - Horvath, Judit A1 - Wappenschmidt, Barbara A1 - Engel, Christoph A1 - Arnold, Norbert A1 - Dworniczak, Bernd A1 - Rhiem, Kerstin A1 - Meindl, Alfons A1 - Schmutzler, Rita K. A1 - Hahnen, Eric T1 - BRIP1 loss-of-function mutations confer high risk for familial ovarian cancer, but not familial breast cancer JF - Breast Cancer Research N2 - Background Germline mutations in the BRIP1 gene have been described as conferring a moderate risk for ovarian cancer (OC), while the role of BRIP1 in breast cancer (BC) pathogenesis remains controversial. Methods To assess the role of deleterious BRIP1 germline mutations in BC/OC predisposition, 6341 well-characterized index patients with BC, 706 index patients with OC, and 2189 geographically matched female controls were screened for loss-of-function (LoF) mutations and potentially damaging missense variants. All index patients met the inclusion criteria of the German Consortium for Hereditary Breast and Ovarian Cancer for germline testing and tested negative for pathogenic BRCA1/2 variants. Results BRIP1 LoF mutations confer a high OC risk in familial index patients (odds ratio (OR) = 20.97, 95% confidence interval (CI) = 12.02–36.57, P < 0.0001) and in the subgroup of index patients with late-onset OC (OR = 29.91, 95% CI = 14.99–59.66, P < 0.0001). No significant association of BRIP1 LoF mutations with familial BC was observed (OR = 1.81 95% CI = 1.00–3.30, P = 0.0623). In the subgroup of familial BC index patients without a family history of OC there was also no apparent association (OR = 1.42, 95% CI = 0.70–2.90, P = 0.3030). In 1027 familial BC index patients with a family history of OC, the BRIP1 mutation prevalence was significantly higher than that observed in controls (OR = 3.59, 95% CI = 1.43–9.01; P = 0.0168). Based on the negative association between BRIP1 LoF mutations and familial BC in the absence of an OC family history, we conclude that the elevated mutation prevalence in the latter cohort was driven by the occurrence of OC in these families. Compared with controls, predicted damaging rare missense variants were significantly more prevalent in OC (P = 0.0014) but not in BC (P = 0.0693) patients. Conclusions To avoid ambiguous results, studies aimed at assessing the impact of candidate predisposition gene mutations on BC risk might differentiate between BC index patients with an OC family history and those without. In familial cases, we suggest that BRIP1 is a high-risk gene for late-onset OC but not a BC predisposition gene, though minor effects cannot be excluded. KW - breast cancer KW - ovarian cancer KW - BRIP1 gene KW - germline mutations Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-233433 VL - 20 ER - TY - JOUR A1 - Vigorito, Elena A1 - Kuchenbaecker, Karoline B. A1 - Beesley, Jonathan A1 - Adlard, Julian A1 - Agnarsson, Bjarni A. A1 - Andrulis, Irene L. A1 - Arun, Banu K. A1 - Barjhoux, Laure A1 - Belotti, Muriel A1 - Benitez, Javier A1 - Berger, Andreas A1 - Bojesen, Anders A1 - Bonanni, Bernardo A1 - Brewer, Carole A1 - Caldes, Trinidad A1 - Caligo, Maria A. A1 - Campbell, Ian A1 - Chan, Salina B. A1 - Claes, Kathleen B. M. A1 - Cohn, David E. A1 - Cook, Jackie A1 - Daly, Mary B. A1 - Damiola, Francesca A1 - Davidson, Rosemarie A1 - de Pauw, Antoine A1 - Delnatte, Capucine A1 - Diez, Orland A1 - Domchek, Susan M. A1 - Dumont, Martine A1 - Durda, Katarzyna A1 - Dworniczak, Bernd A1 - Easton, Douglas F. A1 - Eccles, Diana A1 - Ardnor, Christina Edwinsdotter A1 - Eeles, Ros A1 - Ejlertsen, Bent A1 - Ellis, Steve A1 - Evans, D. Gareth A1 - Feliubadalo, Lidia A1 - Fostira, Florentia A1 - Foulkes, William D. A1 - Friedman, Eitan A1 - Frost, Debra A1 - Gaddam, Pragna A1 - Ganz, Patricia A. A1 - Garber, Judy A1 - Garcia-Barberan, Vanesa A1 - Gauthier-Villars, Marion A1 - Gehrig, Andrea A1 - Gerdes, Anne-Marie A1 - Giraud, Sophie A1 - Godwin, Andrew K. A1 - Goldgar, David E. A1 - Hake, Christopher R. A1 - Hansen, Thomas V. O. A1 - Healey, Sue A1 - Hodgson, Shirley A1 - Hogervorst, Frans B. L. A1 - Houdayer, Claude A1 - Hulick, Peter J. A1 - Imyanitov, Evgeny N. A1 - Isaacs, Claudine A1 - Izatt, Louise A1 - Izquierdo, Angel A1 - Jacobs, Lauren A1 - Jakubowska, Anna A1 - Janavicius, Ramunas A1 - Jaworska-Bieniek, Katarzyna A1 - Jensen, Uffe Birk A1 - John, Esther M. A1 - Vijai, Joseph A1 - Karlan, Beth Y. A1 - Kast, Karin A1 - Khan, Sofia A1 - Kwong, Ava A1 - Laitman, Yael A1 - Lester, Jenny A1 - Lesueur, Fabienne A1 - Liljegren, Annelie A1 - Lubinski, Jan A1 - Mai, Phuong L. A1 - Manoukian, Siranoush A1 - Mazoyer, Sylvie A1 - Meindl, Alfons A1 - Mensenkamp, Arjen R. A1 - Montagna, Marco A1 - Nathanson, Katherine L. A1 - Neuhausen, Susan L. A1 - Nevanlinna, Heli A1 - Niederacher, Dieter A1 - Olah, Edith A1 - Olopade, Olufunmilayo I. A1 - Ong, Kai-ren A1 - Osorio, Ana A1 - Park, Sue Kyung A1 - Paulsson-Karlsson, Ylva A1 - Pedersen, Inge Sokilde A1 - Peissel, Bernard A1 - Peterlongo, Paolo A1 - Pfeiler, Georg A1 - Phelan, Catherine M. A1 - Piedmonte, Marion A1 - Poppe, Bruce A1 - Pujana, Miquel Angel A1 - Radice, Paolo A1 - Rennert, Gad A1 - Rodriguez, Gustavo C. A1 - Rookus, Matti A. A1 - Ross, Eric A. A1 - Schmutzler, Rita Katharina A1 - Simard, Jacques A1 - Singer, Christian F. A1 - Slavin, Thomas P. A1 - Soucy, Penny A1 - Southey, Melissa A1 - Steinemann, Doris A1 - Stoppa-Lyonnet, Dominique A1 - Sukiennicki, Grzegorz A1 - Sutter, Christian A1 - Szabo, Csilla I. A1 - Tea, Muy-Kheng A1 - Teixeira, Manuel R. A1 - Teo, Soo-Hwang A1 - Terry, Mary Beth A1 - Thomassen, Mads A1 - Tibiletti, Maria Grazia A1 - Tihomirova, Laima A1 - Tognazzo, Silvia A1 - van Rensburg, Elizabeth J. A1 - Varesco, Liliana A1 - Varon-Mateeva, Raymonda A1 - Vratimos, Athanassios A1 - Weitzel, Jeffrey N. A1 - McGuffog, Lesley A1 - Kirk, Judy A1 - Toland, Amanda Ewart A1 - Hamann, Ute A1 - Lindor, Noralane A1 - Ramus, Susan J. A1 - Greene, Mark H. A1 - Couch, Fergus J. A1 - Offit, Kenneth A1 - Pharoah, Paul D. P. A1 - Chenevix-Trench, Georgia A1 - Antoniou, Antonis C. T1 - Fine-Scale Mapping at 9p22.2 Identifies Candidate Causal Variants That Modify Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers JF - PLoS ONE N2 - Population-based genome wide association studies have identified a locus at 9p22.2 associated with ovarian cancer risk, which also modifies ovarian cancer risk in BRCA1 and BRCA2 mutation carriers. We conducted fine-scale mapping at 9p22.2 to identify potential causal variants in BRCA1 and BRCA2 mutation carriers. Genotype data were available for 15,252 (2,462 ovarian cancer cases) BRCA1 and 8,211 (631 ovarian cancer cases) BRCA2 mutation carriers. Following genotype imputation, ovarian cancer associations were assessed for 4,873 and 5,020 SNPs in BRCA1 and BRCA 2 mutation carriers respectively, within a retrospective cohort analytical framework. In BRCA1 mutation carriers one set of eight correlated candidate causal variants for ovarian cancer risk modification was identified (top SNP rs10124837, HR: 0.73, 95%CI: 0.68 to 0.79, p-value 2× 10−16). These variants were located up to 20 kb upstream of BNC2. In BRCA2 mutation carriers one region, up to 45 kb upstream of BNC2, and containing 100 correlated SNPs was identified as candidate causal (top SNP rs62543585, HR: 0.69, 95%CI: 0.59 to 0.80, p-value 1.0 × 10−6). The candidate causal in BRCA1 mutation carriers did not include the strongest associated variant at this locus in the general population. In sum, we identified a set of candidate causal variants in a region that encompasses the BNC2 transcription start site. The ovarian cancer association at 9p22.2 may be mediated by different variants in BRCA1 mutation carriers and in the general population. Thus, potentially different mechanisms may underlie ovarian cancer risk for mutation carriers and the general population. KW - fine-scale mapping KW - ovarian cancer KW - genetics KW - BRCA1 KW - BRCA2 Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166869 VL - 11 IS - 7 ER - TY - JOUR A1 - Silvestri, Valentina A1 - Barrowdale, Daniel A1 - Mulligan, Anna Marie A1 - Neuhausen, Susan L. A1 - Fox, Stephen A1 - Karlan, Beth Y. A1 - Mitchell, Gillian A1 - James, Paul A1 - Thull, Darcy L. A1 - Zorn, Kristin K. A1 - Carter, Natalie J. A1 - Nathanson, Katherine L. A1 - Domchek, Susan M. A1 - Rebbeck, Timothy R. A1 - Ramus, Susan J. A1 - Nussbaum, Robert L. A1 - Olopade, Olufunmilayo I. A1 - Rantala, Johanna A1 - Yoon, Sook-Yee A1 - Caligo, Maria A. A1 - Spugnesi, Laura A1 - Bojesen, Anders A1 - Pedersen, Inge Sokilde A1 - Thomassen, Mads A1 - Jensen, Uffe Birk A1 - Toland, Amanda Ewart A1 - Senter, Leigha A1 - Andrulis, Irene L. A1 - Glendon, Gord A1 - Hulick, Peter J. A1 - Imyanitov, Evgeny N. A1 - Greene, Mark H. A1 - Mai, Phuong L. A1 - Singer, Christian F. A1 - Rappaport-Fuerhauser, Christine A1 - Kramer, Gero A1 - Vijai, Joseph A1 - Offit, Kenneth A1 - Robson, Mark A1 - Lincoln, Anne A1 - Jacobs, Lauren A1 - Machackova, Eva A1 - Foretova, Lenka A1 - Navratilova, Marie A1 - Vasickova, Petra A1 - Couch, Fergus J. A1 - Hallberg, Emily A1 - Ruddy, Kathryn J. A1 - Sharma, Priyanka A1 - Kim, Sung-Won A1 - Teixeira, Manuel R. A1 - Pinto, Pedro A1 - Montagna, Marco A1 - Matricardi, Laura A1 - Arason, Adalgeir A1 - Johannsson, Oskar Th A1 - Barkardottir, Rosa B. A1 - Jakubowska, Anna A1 - Lubinski, Jan A1 - Izquierdo, Angel A1 - Pujana, Miguel Angel A1 - Balmaña, Judith A1 - Diez, Orland A1 - Ivady, Gabriella A1 - Papp, Janos A1 - Olah, Edith A1 - Kwong, Ava A1 - Nevanlinna, Heli A1 - Aittomäki, Kristiina A1 - Segura, Pedro Perez A1 - Caldes, Trinidad A1 - Van Maerken, Tom A1 - Poppe, Bruce A1 - Claes, Kathleen B. M. A1 - Isaacs, Claudine A1 - Elan, Camille A1 - Lasset, Christine A1 - Stoppa-Lyonnet, Dominique A1 - Barjhoux, Laure A1 - Belotti, Muriel A1 - Meindl, Alfons A1 - Gehrig, Andrea A1 - Sutter, Christian A1 - Engel, Christoph A1 - Niederacher, Dieter A1 - Steinemann, Doris A1 - Hahnen, Eric A1 - Kast, Karin A1 - Arnold, Norbert A1 - Varon-Mateeva, Raymonda A1 - Wand, Dorothea A1 - Godwin, Andrew K. A1 - Evans, D. Gareth A1 - Frost, Debra A1 - Perkins, Jo A1 - Adlard, Julian A1 - Izatt, Louise A1 - Platte, Radka A1 - Eeles, Ros A1 - Ellis, Steve A1 - Hamann, Ute A1 - Garber, Judy A1 - Fostira, Florentia A1 - Fountzilas, George A1 - Pasini, Barbara A1 - Giannini, Giuseppe A1 - Rizzolo, Piera A1 - Russo, Antonio A1 - Cortesi, Laura A1 - Papi, Laura A1 - Varesco, Liliana A1 - Palli, Domenico A1 - Zanna, Ines A1 - Savarese, Antonella A1 - Radice, Paolo A1 - Manoukian, Siranoush A1 - Peissel, Bernard A1 - Barile, Monica A1 - Bonanni, Bernardo A1 - Viel, Alessandra A1 - Pensotti, Valeria A1 - Tommasi, Stefania A1 - Peterlongo, Paolo A1 - Weitzel, Jeffrey N. A1 - Osorio, Ana A1 - Benitez, Javier A1 - McGuffog, Lesley A1 - Healey, Sue A1 - Gerdes, Anne-Marie A1 - Ejlertsen, Bent A1 - Hansen, Thomas V. O. A1 - Steele, Linda A1 - Ding, Yuan Chun A1 - Tung, Nadine A1 - Janavicius, Ramunas A1 - Goldgar, David E. A1 - Buys, Saundra S. A1 - Daly, Mary B. A1 - Bane, Anita A1 - Terry, Mary Beth A1 - John, Esther M. A1 - Southey, Melissa A1 - Easton, Douglas F. A1 - Chenevix-Trench, Georgia A1 - Antoniou, Antonis C. A1 - Ottini, Laura T1 - Male breast cancer in BRCA1 and BRCA2 mutation carriers: pathology data from the Consortium of Investigators of Modifiers of BRCA1/2 JF - Breast Cancer Research N2 - Background BRCA1 and, more commonly, BRCA2 mutations are associated with increased risk of male breast cancer (MBC). However, only a paucity of data exists on the pathology of breast cancers (BCs) in men with BRCA1/2 mutations. Using the largest available dataset, we determined whether MBCs arising in BRCA1/2 mutation carriers display specific pathologic features and whether these features differ from those of BRCA1/2 female BCs (FBCs). Methods We characterised the pathologic features of 419 BRCA1/2 MBCs and, using logistic regression analysis, contrasted those with data from 9675 BRCA1/2 FBCs and with population-based data from 6351 MBCs in the Surveillance, Epidemiology, and End Results (SEER) database. Results Among BRCA2 MBCs, grade significantly decreased with increasing age at diagnosis (P = 0.005). Compared with BRCA2 FBCs, BRCA2 MBCs were of significantly higher stage (P for trend = 2 × 10−5) and higher grade (P for trend = 0.005) and were more likely to be oestrogen receptor–positive [odds ratio (OR) 10.59; 95 % confidence interval (CI) 5.15–21.80] and progesterone receptor–positive (OR 5.04; 95 % CI 3.17–8.04). With the exception of grade, similar patterns of associations emerged when we compared BRCA1 MBCs and FBCs. BRCA2 MBCs also presented with higher grade than MBCs from the SEER database (P for trend = 4 × 10−12). Conclusions On the basis of the largest series analysed to date, our results show that BRCA1/2 MBCs display distinct pathologic characteristics compared with BRCA1/2 FBCs, and we identified a specific BRCA2-associated MBC phenotype characterised by a variable suggesting greater biological aggressiveness (i.e., high histologic grade). These findings could lead to the development of gender-specific risk prediction models and guide clinical strategies appropriate for MBC management. KW - Male breast cancer KW - BRCA1/2 KW - Pathology KW - Histologic grade KW - Genotype–phenotype correlations Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164769 VL - 18 IS - 15 ER - TY - JOUR A1 - Sepahi, Ilnaz A1 - Faust, Ulrike A1 - Sturm, Marc A1 - Bosse, Kristin A1 - Kehrer, Martin A1 - Heinrich, Tilman A1 - Grundman-Hauser, Kathrin A1 - Bauer, Peter A1 - Ossowski, Stephan A1 - Susak, Hana A1 - Varon, Raymonda A1 - Schröck, Evelin A1 - Niederacher, Dieter A1 - Auber, Bernd A1 - Sutter, Christian A1 - Arnold, Norbert A1 - Hahnen, Eric A1 - Dworniczak, Bernd A1 - Wang-Gorke, Shan A1 - Gehrig, Andrea A1 - Weber, Bernhard H. F. A1 - Engel, Christoph A1 - Lemke, Johannes R. A1 - Hartkopf, Andreas A1 - Huu Phuc, Nguyen A1 - Riess, Olaf A1 - Schroeder, Christopher T1 - Investigating the effects of additional truncating variants in DNA-repair genes on breast cancer risk in BRCA1-positive women JF - BMC Cancer N2 - Background Inherited pathogenic variants in BRCA1 and BRCA2 are the most common causes of hereditary breast and ovarian cancer (HBOC). The risk of developing breast cancer by age 80 in women carrying a BRCA1 pathogenic variant is 72%. The lifetime risk varies between families and even within affected individuals of the same family. The cause of this variability is largely unknown, but it is hypothesized that additional genetic factors contribute to differences in age at onset (AAO). Here we investigated whether truncating and rare missense variants in genes of different DNA-repair pathways contribute to this phenomenon. Methods We used extreme phenotype sampling to recruit 133 BRCA1-positive patients with either early breast cancer onset, below 35 (early AAO cohort) or cancer-free by age 60 (controls). Next Generation Sequencing (NGS) was used to screen for variants in 311 genes involved in different DNA-repair pathways. Results Patients with an early AAO (73 women) had developed breast cancer at a median age of 27 years (interquartile range (IQR); 25.00–27.00 years). A total of 3703 variants were detected in all patients and 43 of those (1.2%) were truncating variants. The truncating variants were found in 26 women of the early AAO group (35.6%; 95%-CI 24.7 - 47.7%) compared to 16 women of controls (26.7%; 95%-CI 16.1 to 39.7%). When adjusted for environmental factors and family history, the odds ratio indicated an increased breast cancer risk for those carrying an additional truncating DNA-repair variant to BRCA1 mutation (OR: 3.1; 95%-CI 0.92 to 11.5; p-value = 0.07), although it did not reach the conventionally acceptable significance level of 0.05. Conclusions To our knowledge this is the first time that the combined effect of truncating variants in DNA-repair genes on AAO in patients with hereditary breast cancer is investigated. Our results indicate that co-occurring truncating variants might be associated with an earlier onset of breast cancer in BRCA1-positive patients. Larger cohorts are needed to confirm these results. KW - breast cancer KW - age at onset KW - DNA-repair genes KW - next-generation-sequencing KW - panel sequencing KW - extreme phenotypes KW - hereditary breast and ovarian cancer KW - BRCA1 KW - DNA-repair Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-237676 VL - 19 ER - TY - JOUR A1 - Rolfes, Muriel A1 - Borde, Julika A1 - Möllenhoff, Kathrin A1 - Kayali, Mohamad A1 - Ernst, Corinna A1 - Gehrig, Andrea A1 - Sutter, Christian A1 - Ramser, Juliane A1 - Niederacher, Dieter A1 - Horváth, Judit A1 - Arnold, Norbert A1 - Meindl, Alfons A1 - Auber, Bernd A1 - Rump, Andreas A1 - Wang-Gohrke, Shan A1 - Ritter, Julia A1 - Hentschel, Julia A1 - Thiele, Holger A1 - Altmüller, Janine A1 - Nürnberg, Peter A1 - Rhiem, Kerstin A1 - Engel, Christoph A1 - Wappenschmidt, Barbara A1 - Schmutzler, Rita K. A1 - Hahnen, Eric A1 - Hauke, Jan T1 - Prevalence of cancer predisposition germline variants in male breast cancer patients: results of the German Consortium for Hereditary Breast and Ovarian Cancer JF - Cancers N2 - Male breast cancer (mBC) is associated with a high prevalence of pathogenic variants (PVs) in the BRCA2 gene; however, data regarding other BC predisposition genes are limited. In this retrospective multicenter study, we investigated the prevalence of PVs in BRCA1/2 and 23 non-BRCA1/2 genes using a sample of 614 patients with mBC, recruited through the centers of the German Consortium for Hereditary Breast and Ovarian Cancer. A high proportion of patients with mBC carried PVs in BRCA2 (23.0%, 142/614) and BRCA1 (4.6%, 28/614). The prevalence of BRCA1/2 PVs was 11.0% in patients with mBC without a family history of breast and/or ovarian cancer. Patients with BRCA1/2 PVs did not show an earlier disease onset than those without. The predominant clinical presentation of tumor phenotypes was estrogen receptor (ER)-positive, progesterone receptor (PR)-positive, and HER2-negative (77.7%); further, 10.2% of the tumors were triple-positive, and 1.2% were triple-negative. No association was found between ER/PR/HER2 status and BRCA1/2 PV occurrence. Comparing the prevalence of protein-truncating variants (PTVs) between patients with mBC and control data (ExAC, n = 27,173) revealed significant associations of PTVs in both BRCA1 and BRCA2 with mBC (BRCA1: OR = 17.04, 95% CI = 10.54–26.82, p < 10\(^{−5}\); BRCA2: OR = 77.71, 95% CI = 58.71–102.33, p < 10\(^{−5}\)). A case-control investigation of 23 non-BRCA1/2 genes in 340 BRCA1/2-negative patients and ExAC controls revealed significant associations of PTVs in CHEK2, PALB2, and ATM with mBC (CHEK2: OR = 3.78, 95% CI = 1.59–7.71, p = 0.002; PALB2: OR = 14.77, 95% CI = 5.02–36.02, p < 10\(^{−5}\); ATM: OR = 3.36, 95% CI = 0.89–8.96, p = 0.04). Overall, our findings support the benefit of multi-gene panel testing in patients with mBC irrespective of their family history, age at disease onset, and tumor phenotype. KW - breast neoplasms KW - male breast cancer KW - breast cancer predisposition genes KW - genetic testing KW - familial breast cancer Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-281758 SN - 2072-6694 VL - 14 IS - 13 ER - TY - JOUR A1 - Osorio, Ana A1 - Milne, Roger L. A1 - Kuchenbaecker, Karoline A1 - Vaclová, Tereza A1 - Pita, Guillermo A1 - Alonso, Rosario A1 - Peterlongo, Paolo A1 - Blanco, Ignacio A1 - de la Hoya, Miguel A1 - Duran, Mercedes A1 - Diez, Orland A1 - Ramón y Cajal, Teresa A1 - Konstantopoulou, Irene A1 - Martínez-Bouzas, Christina A1 - Conejero, Raquel Andrés A1 - Soucy, Penny A1 - McGuffog, Lesley A1 - Barrowdale, Daniel A1 - Lee, Andrew A1 - Arver, Brita A1 - Rantala, Johanna A1 - Loman, Niklas A1 - Ehrencrona, Hans A1 - Olopade, Olufunmilayo I. A1 - Beattie, Mary S. A1 - Domchek, Susan M. A1 - Nathanson, Katherine A1 - Rebbeck, Timothy R. A1 - Arun, Banu K. A1 - Karlan, Beth Y. A1 - Walsh, Christine A1 - Lester, Jenny A1 - John, Esther M. A1 - Whittemore, Alice S. A1 - Daly, Mary B. A1 - Southey, Melissa A1 - Hopper, John A1 - Terry, Mary B. A1 - Buys, Saundra S. A1 - Janavicius, Ramunas A1 - Dorfling, Cecilia M. A1 - van Rensburg, Elizabeth J. A1 - Steele, Linda A1 - Neuhausen, Susan L. A1 - Ding, Yuan Chun A1 - Hansen, Thomas V. O. A1 - Jønson, Lars A1 - Ejlertsen, Bent A1 - Gerdes, Anne-Marie A1 - Infante, Mar A1 - Herráez, Belén A1 - Moreno, Leticia Thais A1 - Weitzel, Jeffrey N. A1 - Herzog, Josef A1 - Weeman, Kisa A1 - Manoukian, Siranoush A1 - Peissel, Bernard A1 - Zaffaroni, Daniela A1 - Scuvera, Guilietta A1 - Bonanni, Bernardo A1 - Mariette, Frederique A1 - Volorio, Sara A1 - Viel, Alessandra A1 - Varesco, Liliana A1 - Papi, Laura A1 - Ottini, Laura A1 - Tibiletti, Maria Grazia A1 - Radice, Paolo A1 - Yannoukakos, Drakoulis A1 - Garber, Judy A1 - Ellis, Steve A1 - Frost, Debra A1 - Platte, Radka A1 - Fineberg, Elena A1 - Evans, Gareth A1 - Lalloo, Fiona A1 - Izatt, Louise A1 - Eeles, Ros A1 - Adlard, Julian A1 - Davidson, Rosemarie A1 - Cole, Trevor A1 - Eccles, Diana A1 - Cook, Jackie A1 - Hodgson, Shirley A1 - Brewer, Carole A1 - Tischkowitz, Marc A1 - Douglas, Fiona A1 - Porteous, Mary A1 - Side, Lucy A1 - Walker, Lisa A1 - Morrison, Patrick A1 - Donaldson, Alan A1 - Kennedy, John A1 - Foo, Claire A1 - Godwin, Andrew K. A1 - Schmutzler, Rita Katharina A1 - Wappenschmidt, Barbara A1 - Rhiem, Kerstin A1 - Engel, Christoph A1 - Meindl, Alftons A1 - Ditsch, Nina A1 - Arnold, Norbert A1 - Plendl, Hans Jörg A1 - Niederacher, Dieter A1 - Sutter, Christian A1 - Wang-Gohrke, Shan A1 - Steinemann, Doris A1 - Preisler-Adams, Sabine A1 - Kast, Karin A1 - Varon-Mateeva, Raymonda A1 - Gehrig, Andrea A1 - Stoppa-Lyonnet, Dominique A1 - Sinilnikova, Olga M. A1 - Mazoyer, Sylvie A1 - Damiola, Francesca A1 - Poppe, Bruce A1 - Claes, Kathleen A1 - Piedmonte, Marion A1 - Tucker, Kathy A1 - Backes, Floor A1 - Rodríguez, Gustavo A1 - Brewster, Wendy A1 - Wakeley, Katie A1 - Rutherford, Thomas A1 - Caldés, Trinidad A1 - Nevanlinna, Heli A1 - Aittomäki, Kristiina A1 - Rookus, Matti A. A1 - van Os, Theo A. M. A1 - van der Kolk, Lizet A1 - de Lange, J. L. A1 - Meijers-Heijboer, Hanne E. J. A1 - van der Hout, A. H. A1 - van Asperen, Christi J. A1 - Goméz Garcia, Encarna B. A1 - Encarna, B. A1 - Hoogerbrugge, Nicoline A1 - Collée, J. Margriet A1 - van Deurzen, Carolien H. M. A1 - van der Luijt, Rob B. A1 - Devilee, Peter A1 - Olah, Edith A1 - Lázaro, Conxi A1 - Teulé, Alex A1 - Menéndez, Mireia A1 - Jakubowska, Anna A1 - Cybulski, Cezary A1 - Gronwald, Jecek A1 - Lubinski, Jan A1 - Durda, Katarzyna A1 - Jaworska-Bieniek, Katarzyna A1 - Johannsson, Oskar Th. A1 - Maugard, Christine A1 - Montagna, Marco A1 - Tognazzo, Silvia A1 - Teixeira, Manuel R. A1 - Healey, Sue A1 - Olswold, Curtis A1 - Guidugli, Lucia A1 - Lindor, Noralane A1 - Slager, Susan A1 - Szabo, Csilla I. A1 - Vijai, Joseph A1 - Robson, Mark A1 - Kauff, Noah A1 - Zhang, Liying A1 - Rau-Murthy, Rohini A1 - Fink-Retter, Anneliese A1 - Singer, Christine F. A1 - Rappaport, Christine A1 - Kaulich, Daphne Geschwantler A1 - Pfeiler, Georg A1 - Tea, Muy-Kheng A1 - Berger, Andreas A1 - Phelan, Catherine M. A1 - Greene, Mark H. A1 - Mai, Phuong L. A1 - Lejbkowicz, Flavio A1 - Andrulis, Irene A1 - Mulligan, Anna Marie A1 - Glendon, Gord A1 - Toland, Amanda Ewart A1 - Bojesen, Anders A1 - Pedersen, Inge Sokilde A1 - Sunde, Lone A1 - Thomassen, Mads A1 - Kruse, Torben A. A1 - Jensen, Uffe Birk A1 - Friedman, Eitan A1 - Laitman, Yeal A1 - Shimon, Shanie Paluch A1 - Simard, Jaques A1 - Easton, Douglas F. A1 - Offit, Kenneth A1 - Couch, Fergus J. A1 - Chenevix-Trench, Georgia A1 - Antoniou, Antonis C. A1 - Benitez, Javier T1 - DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers JF - PLOS Genetics N2 - Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p<0.05 in the combined analysis. Four of the five genes for which strongest evidence of association was observed were DNA glycosylases. The strongest evidence was for rs1466785 in the NEIL2 (endonuclease VIII-like 2) gene (HR: 1.09, 95% CI (1.03-1.16), p = 2.7x10(-3)) for association with breast cancer risk in BRCA2 mutation carriers, and rs2304277 in the OGG1 (8-guanine DNA glycosylase) gene, with ovarian cancer risk in BRCA1 mutation carriers (HR: 1.12 95% CI: 1.03-1.21, p = 4.8x10(-3)). DNA glycosylases involved in the first steps of the BER pathway may be associated with cancer risk in BRCA1/2 mutation carriers and should be more comprehensively studied. KW - single-nucleotide polymorphisms KW - breast cancer KW - ovarian cancer KW - genetic modifiers KW - common variants KW - NEIL2 KW - OGG1 KW - investigators KW - consortium KW - damage Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-116820 SN - 1553-7404 VL - 4 IS - e1004256 ER - TY - JOUR A1 - Hansmann, Tamara A1 - Pliushch, Galyna A1 - Leubner, Monika A1 - Kroll, Patricia A1 - Endt, Daniela A1 - Gehrig, Andrea A1 - Preisler-Adams, Sabine A1 - Wieacker, Peter A1 - Haaf, Thomas T1 - Constitutive promoter methylation of BRCA1 and RAD51C in patients with familial ovarian cancer and early-onset sporadic breast cancer JF - Human Molecular Genetics N2 - Genetic defects in breast cancer (BC) susceptibility genes, most importantly BRCA1 and BRCA2, account for ∼40% of hereditary BC and ovarian cancer (OC). Little is known about the contribution of constitutive (soma-wide) epimutations to the remaining cases. We developed bisulfite pyrosequencing assays to screen >600 affected BRCA1/BRCA2 mutation-negative patients from the German Consortium for Hereditary Breast and Ovarian Cancer for constitutive hypermethylation of ATM, BRCA1, BRCA2, RAD51C, PTEN and TP53 in blood cells. In a second step, patients with ≥6% promoter methylation were analyzed by bisulfite plasmid sequencing to demonstrate the presence of hypermethylated alleles (epimutations), indicative of epigenetic gene silencing. Altogether we identified nine (1.4%) patients with constitutive BRCA1 and three (0.5%) with RAD51C hypermethylation. Epimutations were found in both sporadic cases, in particular in 2 (5.5%) of 37 patients with early-onset BC, and familial cases, in particular 4 (10%) of 39 patients with OC. Hypermethylation was always confined to one of the two parental alleles in a subset (12–40%) of the analyzed cells. Because epimutations occurred in cell types from different embryonal layers, they most likely originated in single cells during early somatic development. We propose that analogous to germline genetic mutations constitutive epimutations may serve as the first hit of tumor development. Because the role of constitutive epimutations in cancer development is likely to be largely underestimated, future strategies for effective testing of susceptibility to BC and OC should include an epimutation screen. KW - promoter methylation Y1 - 2012 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-125673 VL - 21 IS - 21 ER - TY - THES A1 - Gehrig, Andrea T1 - Untersuchungen zu den molekularen Ursachen der X-gebundenen juvenilen Retinoschisis - vom Gendefekt zum Mausmodell T1 - Molecular studies of X-linked juvenile Retinoschisis - from gene defect to the mouse model N2 - Hereditäre Netzhautdegenerationen betreffen weltweit etwa 15 Millionen Menschen. Sie sind klinisch und genetisch auffällig heterogen. Bisher wurden 139 verschiedene chromosomale Genorte mit Netzhautdystrophien assoziiert, wovon inzwischen 90 Gene identifiziert werden konnten. Mit Hilfe verschiedener Klonierungsstrategien konnte in der vorgelegten Arbeit ein Beitrag zur Aufklärung der genetischen Ursachen einiger ausgewählter Retinopathien geleistet werden. So konnte durch die Positionsklonierung das Gen, das mit der X-gebundenen juvenilen Retinoschisis (RS) assoziiert ist, identifiziert werden. Funktionelle Analysen des Genproduktes sowie die Generierung eines Mausmodells der RS geben einen Einblick in die Physiologie der Retina sowie den Pathomechanismus der Erkrankung. Die genomische Organisation des Interphotorezeptor-Matrixproteoglykans-1 (IMPG1) wurde aufgeklärt und die chromosomale Lokalisation auf 6q13-15 bestimmt. Damit kartierte das Gen in eine Region, in die die Genorte für 7 Retinopathien des Menschen kartiert wurden. Durch Kopplungs- und Mutationsanalysen konnten unsere Arbeiten ausschließen, daß IMPG1 mit North Carolina Makuladystrophie (MCDR1) oder der progressiven bifokalen chorioretinalen Atrophie (PBCRA) in Zusammenhang steht. Die Diacylglycerin Kinase-3 (DAGK3) konnte nach der Bestimmung der genomischen Organisation in die Region 3q27-28 kartiert werden. Dieser chromosomale Abschnitt deckt sich mit der chromosomalen Lokalisation der autosomal dominanten Optikusatrophie (OPA1). Auch hier konnte mit Hilfe von Mutationsanalysen ein Ausschluß des Gens erfolgen. Die X-gebundene juvenile Retinoschisis ist eine häufige Ursache juveniler Makula-degenerationen und betrifft etwa 300.000 junge Männer weltweit. Charakteristische Kennzeichen der Erkrankung sind Aufspaltungen in den inneren Netzhautschichten, die zu zystischen Veränderungen der zentralen Retina führen. Ungefähr 50 % der Patienten entwickeln auch periphere Manifestationen. Durch die Arbeit unserer und anderer Forschergruppen konnte der Krankheitslokus in einen etwa 900 kb großen Bereich auf dem kurzen Arm des X-Chromosoms (Xp22.2) kartiert werden. Durch einen Vergleich der genomischen DNA Sequenzen mit öffentlich zugänglichen ESTs (expressed sequence tags) konnte ein retinaspezifisches Transkript identifiziert werden. Es besteht aus 6 Exonen und kodiert für ein putatives 224 Aminosäuren großes Protein, das sekretiert wird und ein hochkonserviertes Discoidindomänen-Motiv enthält. Discoidindomänen sind in Zelladhäsion oder in Zell-Zell Interaktionen involviert. Mutationsanalysen in RS-Patienten bestätigten, daß es sich bei diesem Transkript um RS1, d.h. um das krankheitsassoziierte Gen der X-gebundenen juvenilen Retinoschisis handelte. Das RS1-Protein (Retinoschisin) kommt in homo-oligomeren Komplexen, die über Disulfidbrücken miteinander verbunden sind, auf der Zelloberfläche der Photorezeptoren und der Bipolaren sowie in den synaptischen Regionen der äußeren (OPL) und innere plexiformen Schicht (IPL) vor. Um die Funktion des normalen Retinoschisins zu untersuchen und um einen Einblick in die RS-Pathogenese zu bekommen, wurde nach der Charakterisierung des orthologen murinen Gens (Rs1h) eine Retinoschisin-defiziente knock-out Maus generiert. Ophthalmologische und histologische Untersuchungen der Rs1h-/Y-Maus zeigen signifikante Parallelen zu dem RS-Erkrankungsbild des Menschen. Damit stellt die Rs1h knock-out Maus ein ideales Tiermodell für die Untersuchung des zugrundeliegenden Krankheitsmechanismusses dar. So konnten wir inzwischen zeigen, daß apoptotische Prozesse zur Degeneration der Photorezeptoren führen. Gegenwärtig werden mit diesem Tiermodell erste gentherapeutische Versuche durchgeführt. Diese Arbeiten sollen Aufschluß darüber geben, ob ein Adeno-assoziierter Virus (AAV)-Transfer des RS1 Gens in die erkrankte Retina ein möglicher Therapieansatz für RS auch beim Menschen sein könnte. N2 - The World Health Organization (WHO) estimates that worldwide approximately 15 million people are affected with hereditary retinal degenerations. Retinal dystrophies are clinically and genetically heterogeneous. To date, 90 retinal disease genes have been identified and of 139 retinal disease genes the chromosomal location is known. In this study, different strategies of disease gene cloning were utilized to elucidate the underlying genetic defects of selected retinopathies. This has led to the identification of the gene associated with X-linked juvenile retinoschisis (RS) by positional cloning. Both, functional analysis of the gene product, named retinoschisin (RS1), and the generation of a mouse model for RS provide novel insight into retinal physiology and the pathomechanism of the disease. The genomic organization of the interphotoreceptor matrix proteoglycan-1 (IMPG1) was established and its chromosomal localization was identified (6q13-15). Seven different human retinal dystrophies have previously been mapped to this region on chromosome 6. A possible genetic association between IMPG1 and two retinal dystrophies, North Carolina macular dystrophy (MCDR1) and progressive bifocal chorioretinal atrophy (PBCRA), was investigated. By means of linkage studies and mutation analysis in affected patients the involvement of IMPG1 in these two different diseases was ruled out. The genomic organization of diacylglycerol kinase-3 (DAGK3) was determined and the gene locus was mapped to chromosome 3q27-28. The autosomal dominant optic atrophy (OPA1) was independently localized to the same chromosomal region. This has prompted us to investigate the role of DAGK3 in OPA1. By mutation analysis such a correlation could be excluded. X-linked juvenile retinoschisis is a common cause of juvenile macular degeneration affecting approximately 300.000 young males worldwide. The disease is characterized by a slitting of the inner retinal layers resulting in cystic degeneration of the central retina. Half of the patients also develop peripheral manifestations. Our laboratory and others localized the RS gene to a 900 kb interval on the short arm of chromosome Xp22.2. Comparison of genomic DNA sequences with publicly available expressed sequence tags (ESTs) have identified a retina-specific transcript. This novel transcript is composed of six exons that encode a 224-amino acid protein including a 23 amino acid signal peptide. Bioinformatical analysis revealed that the putative protein consists almost exclusively of a discoidin domain wich is highly conserved from slime mold to human. Discoidin domains are implicated in cell adhesion or cell-cell interactions. On the basis of mutation analysis in patients affected with RS, we confirmed that the gene indeed is responsible for RS pathology. The RS1 protein is found at the cell surfaces of photoreceptors and bipolar cells and within the synaptic regions of the outer (OPL) and the inner plexiform layers (IPL) most likely as a homo-oligomeric complex. To clarify the function of the normal RS1 and to gain insight into RS pathogenesis a mouse model deficient of the endogenous RS1 protein was generated. For these purposes the genomic organization of the murine orthologous RS1 gene (Rs1h) was identified. Ophthalmologic and histologic analysis of Rs1h-/Y mice revealed significant parallels to the human RS phenotyp. Therefore, the knock-out mouse represents an ideal model to further study the underlying disease mechanism. Recently, we showed that apoptosis is the final pathway of photoreceptor degeneration in Rs1h-/Y mice. Most importantly this mouse model can serve as proof-of-concept for gene therapy. Towards this end we are testing adeno-associated virus (AAV)-based gene transfer of RS1 into the defect murine retina. This may pave the way for a gene based future intervention in humans affected with this condition. KW - Maus KW - Retinoschisis KW - Erbkrankheit KW - Molekulargenetik KW - X-gebundene juvenile Retinoschisis KW - Gendefekt KW - Mausmodell KW - X-linked juvenile retinoschisis KW - gene defect KW - mouse model Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-7212 ER - TY - JOUR A1 - Engel, Christoph A1 - Rhiem, Kerstin A1 - Hahnen, Eric A1 - Loibl, Sibylle A1 - Weber, Karsten E. A1 - Seiler, Sabine A1 - Zachariae, Silke A1 - Hauke, Jan A1 - Wappenschmidt, Barbara A1 - Waha, Anke A1 - Blümcke, Britta A1 - Kiechle, Marion A1 - Meindl, Alfons A1 - Niederacher, Dieter A1 - Bartram, Claus R. A1 - Speiser, Dorothee A1 - Schlegelberger, Brigitte A1 - Arnold, Norbert A1 - Wieacker, Peter A1 - Leinert, Elena A1 - Gehrig, Andrea A1 - Briest, Susanne A1 - Kast, Karin A1 - Riess, Olaf A1 - Emons, Günter A1 - Weber, Bernhard H. F. A1 - Engel, Jutta A1 - Schmutzler, Rita K. T1 - Prevalence of pathogenic BRCA1/2 germline mutations among 802 women with unilateral triple-negative breast cancer without family cancer history JF - BMC Cancer N2 - Background There is no international consensus up to which age women with a diagnosis of triple-negative breast cancer (TNBC) and no family history of breast or ovarian cancer should be offered genetic testing for germline BRCA1 and BRCA2 (gBRCA) mutations. Here, we explored the association of age at TNBC diagnosis with the prevalence of pathogenic gBRCA mutations in this patient group. Methods The study comprised 802 women (median age 40 years, range 19-76) with oestrogen receptor, progesterone receptor, and human epidermal growth factor receptor type 2 negative breast cancers, who had no relatives with breast or ovarian cancer. All women were tested for pathogenic gBRCA mutations. Logistic regression analysis was used to explore the association between age at TNBC diagnosis and the presence of a pathogenic gBRCA mutation. Results A total of 127 women with TNBC(15.8%) were gBRCA mutation carriers (BRCA1: n = 118, 14.7%; BRCA2: n = 9, 1. 1%). The mutation prevalence was 32.9% in the age group 20-29 years compared to 6.9% in the age group 60-69 years. Logistic regression analysis revealed a significant increase of mutation frequency with decreasing age at diagnosis (odds ratio 1.87 per 10 year decrease, 95% CI 1.50-2.32, p < 0.001). gBRCA mutation risk was predicted to be > 10% for women diagnosed below approximately 50 years. Conclusions Based on the general understanding that a heterozygous mutation probability of 10% or greater justifies gBRCA mutation screening, women with TNBC diagnosed before the age of 50 years and no familial history of breast and ovarian cancer should be tested for gBRCA mutations. In Germany, this would concern approximately 880 women with newly diagnosed TNBC per year, of whom approximately 150 are expected to be identified as carriers of a pathogenic gBRCA mutation. KW - hereditary breast and ovarian cancer KW - BRCA1 KW - BRCA2 KW - triple-negative breast cancer Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-226763 VL - 18 ER - TY - JOUR A1 - Dumont, Martine A1 - Weber-Lassalle, Nana A1 - Joly-Beauparlant, Charles A1 - Ernst, Corinna A1 - Droit, Arnaud A1 - Feng, Bing-Jian A1 - Dubois, Stéphane A1 - Collin-Deschesnes, Annie-Claude A1 - Soucy, Penny A1 - Vallée, Maxime A1 - Fournier, Frédéric A1 - Lemaçon, Audrey A1 - Adank, Muriel A. A1 - Allen, Jamie A1 - Altmüller, Janine A1 - Arnold, Norbert A1 - Ausems, Margreet G. E. M. A1 - Berutti, Riccardo A1 - Bolla, Manjeet K. A1 - Bull, Shelley A1 - Carvalho, Sara A1 - Cornelissen, Sten A1 - Dufault, Michael R. A1 - Dunning, Alison M. A1 - Engel, Christoph A1 - Gehrig, Andrea A1 - Geurts-Giele, Willemina R. R. A1 - Gieger, Christian A1 - Green, Jessica A1 - Hackmann, Karl A1 - Helmy, Mohamed A1 - Hentschel, Julia A1 - Hogervorst, Frans B. L. A1 - Hollestelle, Antoinette A1 - Hooning, Maartje J. A1 - Horváth, Judit A1 - Ikram, M. Arfan A1 - Kaulfuß, Silke A1 - Keeman, Renske A1 - Kuang, Da A1 - Luccarini, Craig A1 - Maier, Wolfgang A1 - Martens, John W. M. A1 - Niederacher, Dieter A1 - Nürnberg, Peter A1 - Ott, Claus-Eric A1 - Peters, Annette A1 - Pharoah, Paul D. P. A1 - Ramirez, Alfredo A1 - Ramser, Juliane A1 - Riedel-Heller, Steffi A1 - Schmidt, Gunnar A1 - Shah, Mitul A1 - Scherer, Martin A1 - Stäbler, Antje A1 - Strom, Tim M. A1 - Sutter, Christian A1 - Thiele, Holger A1 - van Asperen, Christi J. A1 - van der Kolk, Lizet A1 - van der Luijt, Rob B. A1 - Volk, Alexander E. A1 - Wagner, Michael A1 - Waisfisz, Quinten A1 - Wang, Qin A1 - Wang-Gohrke, Shan A1 - Weber, Bernhard H. F. A1 - Devilee, Peter A1 - Tavtigian, Sean A1 - Bader, Gary D. A1 - Meindl, Alfons A1 - Goldgar, David E. A1 - Andrulis, Irene L. A1 - Schmutzler, Rita K. A1 - Easton, Douglas F. A1 - Schmidt, Marjanka K. A1 - Hahnen, Eric A1 - Simard, Jacques T1 - Uncovering the contribution of moderate-penetrance susceptibility genes to breast cancer by whole-exome sequencing and targeted enrichment sequencing of candidate genes in women of European ancestry JF - Cancers N2 - Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical power to detect susceptibility genes with effect sizes similar to ATM, CHEK2, and PALB2, however, it was underpowered to identify genes in which susceptibility variants are rarer or confer smaller effect sizes. Larger sample sizes would be required in order to identify such genes. KW - breast cancer KW - genetic susceptibility KW - whole-exome sequencing KW - moderate-penetrance genes Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-281768 SN - 2072-6694 VL - 14 IS - 14 ER -