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101. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.

Author

Day, Felix R, Thompson, Deborah J, Helgason, Hannes, Chasman, Daniel I, Finucane, Hilary, Sulem, Patrick, Ruth, Katherine S, Whalen, Sean, Sarkar, Abhishek K, Albrecht, Eva, Altmaier, Elisabeth, Amini, Marzyeh, Barbieri, Caterina M, Boutin, Thibaud, Campbell, Archie, Demerath, Ellen, Giri, Ayush, He, Chunyan, Hottenga, Jouke J, Karlsson, Robert, Kolcic, Ivana, Loh, Po-Ru, Lunetta, Kathryn L, Mangino, Massimo, Marco, Brumat, McMahon, George, Medland, Sarah E, Nolte, Ilja M, Noordam, Raymond, Nutile, Teresa, Paternoster, Lavinia, Perjakova, Natalia, Porcu, Eleonora, Rose, Lynda M, Schraut, Katharina E, Segrè, Ayellet V, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Andrulis, Irene L, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E, Bolla, Manjeet K, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broer, Linda, Brüning, Thomas, Buring, Julie E, Campbell, Harry, Catamo, Eulalia, Chanock, Stephen, Chenevix-Trench, Georgia, Corre, Tanguy, Couch, Fergus J, Cousminer, Diana L, Cox, Angela, Crisponi, Laura, Czene, Kamila, Davey Smith, George, de Geus, Eco JCN, de Mutsert, Renée, De Vivo, Immaculata, Dennis, Joe, Devilee, Peter, Dos-Santos-Silva, Isabel, Dunning, Alison M, Eriksson, Johan G, Fasching, Peter A, Fernández-Rhodes, Lindsay, Ferrucci, Luigi, Flesch-Janys, Dieter, Franke, Lude, Gabrielson, Marike, Gandin, Ilaria, Giles, Graham G, Grallert, Harald, Gudbjartsson, Daniel F, Guénel, Pascal, Hall, Per, Hallberg, Emily, Hamann, Ute, Harris, Tamara B, Hartman, Catharina A, Heiss, Gerardo, Hooning, Maartje J, Hopper, John L, Hu, Frank, Hunter, David J, Ikram, M Arfan, Im, Hae Kyung, Järvelin, Marjo-Riitta, Joshi, Peter K, Karasik, David, and Kellis, Manolis

Subjects
LifeLines Cohort Study, InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Humans, Neoplasms, Genetic Predisposition to Disease, Ubiquitin-Protein Ligases, Intercellular Signaling Peptides and Proteins, Calcium-Binding Proteins, Ribonucleoproteins, Membrane Proteins, Body Mass Index, Risk Factors, Age Factors, Genomic Imprinting, Puberty, Menarche, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Databases, Genetic, Adolescent, Female, Male, Genome-Wide Association Study, Aging, Breast Cancer, Biotechnology, Cancer, Human Genome, Genetics, Prostate Cancer, Urologic Diseases, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10-8) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

Published
2017

102. BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer

Author

Shimelis, Hermela, Mesman, Romy LS, Von Nicolai, Catharina, Ehlen, Asa, Guidugli, Lucia, Martin, Charlotte, Calléja, Fabienne MGR, Meeks, Huong, Hallberg, Emily, Hinton, Jamie, Lilyquist, Jenna, Hu, Chunling, Aalfs, Cora M, Aittomäki, Kristiina, Andrulis, Irene, Anton-Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Benitez, Javier, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borresen-Dale, Anne-Lise, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Broeks, Annegien, Brouwers, Barbara, Brüning, Thomas, Burwinkel, Barbara, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Cheng, Ching-Yu, Choi, Ji-Yeob, Collée, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Darabi, Hatef, Dennis, Joe, Dörk, Thilo, dos-Santos-Silva, Isabel, Dunning, Alison M, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, García-Closas, Montserrat, Giles, Graham G, Glendon, Gord, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hartman, Mikael, Hogervorst, Frans B, Hollestelle, Antoinette, Hopper, John L, Ito, Hidemi, Jakubowska, Anna, Kang, Daehee, Kosma, Veli-Matti, Kristensen, Vessela, Lai, Kah-Nyin, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Lubinski, Jan, Machackova, Eva, Mannermaa, Arto, Margolin, Sara, Marme, Frederik, Matsuo, Keitaro, Miao, Hui, Michailidou, Kyriaki, Milne, Roger L, Muir, Kenneth, Neuhausen, Susan L, Nevanlinna, Heli, Olson, Janet E, Olswold, Curtis, Oosterwijk, Jan JC, Osorio, Ana, Peterlongo, Paolo, Peto, Julian, Pharoah, Paul DP, Pylkäs, Katri, Radice, Paolo, Rashid, Muhammad Usman, Rhenius, Valerie, Rudolph, Anja, Sangrajrang, Suleeporn, Sawyer, Elinor J, Schmidt, Marjanka K, Schoemaker, Minouk J, Seynaeve, Caroline, Shah, Mitul, Shen, Chen-Yang, and Shrubsole, Martha

Subjects
Breast Cancer, Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Aged, Amino Acid Substitution, Animals, BRCA2 Protein, Breast Neoplasms, Case-Control Studies, Female, Genotype, Germ-Line Mutation, Humans, Mice, Mutation, Missense, Risk, for kConFab/AOCS Investigators, for NBCS Collaborators, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Breast cancer risks conferred by many germline missense variants in the BRCA1 and BRCA2 genes, often referred to as variants of uncertain significance (VUS), have not been established. In this study, associations between 19 BRCA1 and 33 BRCA2 missense substitution variants and breast cancer risk were investigated through a breast cancer case-control study using genotyping data from 38 studies of predominantly European ancestry (41,890 cases and 41,607 controls) and nine studies of Asian ancestry (6,269 cases and 6,624 controls). The BRCA2 c.9104A>C, p.Tyr3035Ser (OR = 2.52; P = 0.04), and BRCA1 c.5096G>A, p.Arg1699Gln (OR = 4.29; P = 0.009) variant were associated with moderately increased risks of breast cancer among Europeans, whereas BRCA2 c.7522G>A, p.Gly2508Ser (OR = 2.68; P = 0.004), and c.8187G>T, p.Lys2729Asn (OR = 1.4; P = 0.004) were associated with moderate and low risks of breast cancer among Asians. Functional characterization of the BRCA2 variants using four quantitative assays showed reduced BRCA2 activity for p.Tyr3035Ser compared with wild-type. Overall, our results show how BRCA2 missense variants that influence protein function can confer clinically relevant, moderately increased risks of breast cancer, with potential implications for risk management guidelines in women with these specific variants. Cancer Res; 77(11); 2789-99. ©2017 AACR.

Published
2017

103. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21

Author

Hamdi, Yosr, Soucy, Penny, Adoue, Véronique, Michailidou, Kyriaki, Canisius, Sander, Lemaçon, Audrey, Droit, Arnaud, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Baynes, Caroline, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borresen-Dale, Anne-Lise, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Burwinkel, Barbara, Chang-Claude, Jenny, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Darabi, Hatef, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, García-Closas, Montserrat, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Grenaker-Alnæs, Grethe, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Hamann, Ute, Hallberg, Emily, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jones, Michael, Kabisch, Maria, Kataja, Vesa, Lambrechts, Diether, Marchand, Loic Le, Lindblom, Annika, Lubinski, Jan, Mannermaa, Arto, Maranian, Mel, Margolin, Sara, Marme, Frederik, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Olswold, Curtis, Peto, Julian, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Radice, Paolo, Rudolph, Anja, Sawyer, Elinor J, Schmidt, Marjanka K, Shu, Xiao-Ou, Southey, Melissa C, Swerdlow, Anthony, Tollenaar, Rob AEM, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Vachon, Celine, Van Den Ouweland, Ans MW, Wang, Qin, Winqvist, Robert, Investigators, kConFab AOCS, Zheng, Wei, Benitez, Javier, Chenevix-Trench, Georgia, Dunning, Alison M, Pharoah, Paul DP, Kristensen, Vessela, Hall, Per, Easton, Douglas F, Pastinen, Tomi, Nord, Silje, and Simard, Jacques

Subjects
Human Genome, Cancer, Breast Cancer, Prevention, Genetics, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Biomarkers, Tumor, Breast Neoplasms, Canada, Carrier Proteins, Case-Control Studies, Chromosomes, Human, Pair 4, DNA Helicases, Europe, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Mitochondrial Proteins, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Assessment, Risk Factors, breast cancer, genetic susceptibility, association studies, differential allelic expression, cis-regulatory variants, NBCS Collaborators, kConFab/AOCS Investigators, Oncology and Carcinogenesis
Abstract

There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas.

Published
2016

104. PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS

Author

Southey, Melissa C, Goldgar, David E, Winqvist, Robert, Pylkäs, Katri, Couch, Fergus, Tischkowitz, Marc, Foulkes, William D, Dennis, Joe, Michailidou, Kyriaki, van Rensburg, Elizabeth J, Heikkinen, Tuomas, Nevanlinna, Heli, Hopper, John L, Dörk, Thilo, Claes, Kathleen BM, Reis-Filho, Jorge, Teo, Zhi Ling, Radice, Paolo, Catucci, Irene, Peterlongo, Paolo, Tsimiklis, Helen, Odefrey, Fabrice A, Dowty, James G, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B, Verhoef, Senno, Carpenter, Jane, Clarke, Christine, Scott, Rodney J, Fasching, Peter A, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Bolla, Manjeet K, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Federik, Burwinkel, Barbara, Yang, Rongxi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Bojesen, Stig, Nielsen, Sune F, Flyger, Henrik, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Anton-Culver, Hoda, Neuhausen, Susan, Ziogas, Argyrios, Clarke, Christina A, Brenner, Hermann, Arndt, Volker, Stegmaier, Christa, Brauch, Hiltrud, Brüning, Thomas, Ko, Yon-Dschun, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Spurdle, Amanda B, Investigators, kConFab, Group, Australian Ovarian Cancer Study, Wauters, Els, Smeets, Dominiek, Beuselinck, Benoit, Floris, Giuseppe, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Olson, Janet E, Vachon, Celine, Pankratz, Vernon S, McLean, Catriona, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Kristensen, Vessela, Alnæs, Grethe Grenaker, and Zheng, Wei

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Ovarian Cancer, Aging, Breast Cancer, Cancer, Women's Health, Rare Diseases, Prevention, Urologic Diseases, Aetiology, 2.1 Biological and endogenous factors, Ataxia Telangiectasia Mutated Proteins, Breast Neoplasms, Case-Control Studies, Checkpoint Kinase 2, Fanconi Anemia Complementation Group N Protein, Female, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Male, Mutation, Nuclear Proteins, Ovarian Neoplasms, Prostatic Neoplasms, Risk, Tumor Suppressor Proteins, Australian Ovarian Cancer Study Group, Cancer: breast, Cancer: ovary, Cancer: prostate, cancer predisposition, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundThe rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study.MethodsWe genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant.ResultsFor European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10-5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10-8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants.ConclusionsThis report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Published
2016

105. Occupational Benzene Exposure and Lung Cancer Risk: A Pooled Analysis of 14 Case-Control Studies

Author

Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, Vermeulen, Roel, Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, and Vermeulen, Roel

Abstract

Rationale: Benzene has been classified as carcinogenic to humans, but there is limited evidence linking benzene exposure to lung cancer. Objectives: We aimed to examine the relationship between occupational benzene exposure and lung cancer. Methods: Subjects from 14 case-control studies across Europe and Canada were pooled. We used a quantitative job-exposure matrix to estimate benzene exposure. Logistic regression models assessed lung cancer risk across different exposure indices. We adjusted for smoking and five main occupational lung carcinogens and stratified analyses by smoking status and lung cancer subtypes. Measurements and Main Results: Analyses included 28,048 subjects (12,329 cases, 15,719 control subjects). Lung cancer odds ratios ranged from 1.12 (95% confidence interval, 1.03-1.22) to 1.32 (95% confidence interval, 1.18-1.48) (Ptrend = 0.002) for groups with the lowest and highest cumulative occupational exposures, respectively, compared with unexposed subjects. We observed an increasing trend of lung cancer with longer duration of exposure (Ptrend < 0.001) and a decreasing trend with longer time since last exposure (Ptrend = 0.02). These effects were seen for all lung cancer subtypes, regardless of smoking status, and were not influenced by specific occupational groups, exposures, or studies. Conclusions: We found consistent and robust associations between different dimensions of occupational benzene exposure and lung cancer after adjusting for smoking and main occupational lung carcinogens. These associations were observed across different subgroups, including nonsmokers. Our findings support the hypothesis that occupational benzene exposure increases the risk of developing lung cancer. Consequently, there is a need to revisit published epidemiological and molecular data on the pulmonary carcinogenicity of benzene.

Published
2024

106. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Author

Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, Ong, KK, Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, and Ong, KK

Abstract

Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.

Published
2024

107. Occupational Benzene Exposure and Lung Cancer Risk: A Pooled Analysis of 14 Case-Control Studies

Author

IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, Vermeulen, Roel, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Wan, Wenxin, Peters, Susan, Portengen, Lützen, Olsson, Ann, Schüz, Joachim, Ahrens, Wolfgang, Schejbalova, Miriam, Boffetta, Paolo, Behrens, Thomas, Brüning, Thomas, Kendzia, Benjamin, Consonni, Dario, Demers, Paul A, Fabiánová, Eleonóra, Fernández-Tardón, Guillermo, Field, John K, Forastiere, Francesco, Foretova, Lenka, Guénel, Pascal, Gustavsson, Per, Jöckel, Karl-Heinz, Karrasch, Stefan, Landi, Maria Teresa, Lissowska, Jolanta, Barul, Christine, Mates, Dana, McLaughlin, John R, Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Pándics, Tamás, Pohlabeln, Hermann, Siemiatycki, Jack, Świątkowska, Beata, Wichmann, Heinz-Erich, Zaridze, David, Ge, Calvin, Straif, Kurt, Kromhout, Hans, and Vermeulen, Roel

Published
2024

108. Digital circadian and sleep health in individual hospital shift workers: A cross sectional telemonitoring study

Author

Yiyuan Zhang, Emilie Cordina-Duverger, Sandra Komarzynski, Amal M. Attari, Qi Huang, Guillen Aristizabal, Brice Faraut, Damien Léger, René Adam, Pascal Guénel, Julia A. Brettschneider, Bärbel F. Finkenstädt, and Francis Lévi

Subjects
Circadian rhythm, Rest-activity, Sleep, Body temperature, Shift work, Telemonitoring, Medicine, Medicine (General), R5-920
Abstract

Summary: Background: Telemonitoring of circadian and sleep cycles could identify shift workers at increased risk of poor health, including cancer and cardiovascular diseases, thus supporting personalized prevention. Methods: The Circadiem cross-sectional study aimed at determining early warning signals of risk of health alteration in hospital nightshifters (NS) versus dayshifters (DS, alternating morning and afternoon shifts). Circadian rhythmicity in activity, sleep, and temperature was telemonitored on work and free days for one week. Participants wore a bluetooth low energy thoracic accelerometry and temperature sensor that was wirelessly connected to a GPRS gateway and a health data hub server. Hidden Markov modelling of activity quantified Rhythm Index, rest quality (probability, p1-1, of remaining at rest), and rest duration. Spectral analyses determined periods in body surface temperature and accelerometry. Parameters were compared and predictors of circadian and sleep disruption were identified by multivariate analyses using information criteria-based model selection. Clusters of individual shift work response profiles were recognized. Findings: Of 140 per-protocol participants (133 females), there were 63 NS and 77 DS. Both groups had similar median rest amount, yet NS had significantly worse median rest-activity Rhythm Index (0·38 [IQR, 0·29-0·47] vs. 0·69 [0·60-0·77], p

Published
2022
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109. Free inertial modes in differentially rotating convective envelopes of low-mass stars : numerical exploration

Author

Guenel, M., Baruteau, C., Mathis, S., and Rieutord, M.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Tidally-excited inertial waves in stellar convective regions are a key mechanism for tidal dissipation in stars and therefore the evolution of close-in binary or planetary systems. As a first step, we explore here the impact of latitudinal differential rotation on the properties of free inertial modes and identify the different families of modes. We show that they differ from the case of solid-body rotation. Using an analytical approach as well as numerical calculations, we conclude that critical layers (where the Doppler-shifted frequency vanishes) could play a very important role for tidal dissipation., Comment: 5 pages, 2 figure, SF2A 2015 proceedings

Published
2015

110. Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma

Author

Om Kulkarni, Pierre-Emmanuel Sugier, Julie Guibon, Anne Boland-Augé, Christine Lonjou, Delphine Bacq-Daian, Robert Olaso, Carole Rubino, Vincent Souchard, Frédérique Rachedi, Juan Jesus Lence-Anta, Rosa Maria Ortiz, Constance Xhaard, Pierre Laurent-Puig, Claire Mulot, Anne-Valérie Guizard, Claire Schvartz, Marie-Christine Boutron-Ruault, Evgenia Ostroumova, Ausrele Kesminiene, Jean-François Deleuze, Pascal Guénel, Florent De Vathaire, Thérèse Truong, and Fabienne Lesueur

Subjects
Medicine, Science
Abstract

Abstract Variants identified in earlier genome-wide association studies (GWAS) on differentiated thyroid carcinoma (DTC) explain about 10% of the overall estimated genetic contribution and could not provide complete insights into biological mechanisms involved in DTC susceptibility. Integrating systems biology information from model organisms, genome-wide expression data from tumor and matched normal tissue and GWAS data could help identifying DTC-associated genes, and pathways or functional networks in which they are involved. We performed data mining of GWAS data of the EPITHYR consortium (1551 cases and 1957 controls) using various pathways and protein–protein interaction (PPI) annotation databases and gene expression data from The Cancer Genome Atlas. We identified eight DTC-associated genes at known loci 2q35 (DIRC3), 8p12 (NRG1), 9q22 (FOXE1, TRMO, HEMGN, ANP32B, NANS) and 14q13 (MBIP). Using the EW_dmGWAS approach we found that gene networks related to glycogenolysis, glycogen metabolism, insulin metabolism and signal transduction pathways associated with muscle contraction were overrepresented with association signals (false discovery rate adjusted p-value

Published
2021
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112. The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis

Author

Kılıç, Özgün Ozan, Akyol, Mehmet Ali, Işık, Oğuz, Günel Kılıç, Banu, Aydınoğlu, Arsev Umur, Surer, Elif, Düzgün, Hafize Şebnem, Kalaycıoğlu, Sibel, Taşkaya-Temizel, Tuğba, Salah, Albert Ali, editor, Pentland, Alex, editor, Lepri, Bruno, editor, Letouzé, Emmanuel, editor, de Montjoye, Yves-Alexandre, With Contrib. by, Dong, Xiaowen, With Contrib. by, and Vinck, Patrick, With Contrib. by

Published
2019
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113. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author

Juliette Coignard, Michael Lush, Jonathan Beesley, Tracy A. O’Mara, Joe Dennis, Jonathan P. Tyrer, Daniel R. Barnes, Lesley McGuffog, Goska Leslie, Manjeet K. Bolla, Muriel A. Adank, Simona Agata, Thomas Ahearn, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Norbert Arnold, Kristan J. Aronson, Banu K. Arun, Annelie Augustinsson, Jacopo Azzollini, Daniel Barrowdale, Caroline Baynes, Heko Becher, Marina Bermisheva, Leslie Bernstein, Katarzyna Białkowska, Carl Blomqvist, Stig E. Bojesen, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Barbara Burwinkel, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Daniele Campa, Brian D. Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, GEMO Study Collaborators, EMBRACE Collaborators, J. Margriet Collée, Don M. Conroy, Kamila Czene, Mary B. Daly, Peter Devilee, Orland Diez, Yuan Chun Ding, Susan M. Domchek, Thilo Dörk, Isabel dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, A. Heather Eliassen, Christoph Engel, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Manuela Gago-Dominguez, Susan M. Gapstur, Judy Garber, Vanesa Garcia-Barberan, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Simon A. Gayther, Andrea Gehrig, Vassilios Georgoulias, Graham G. Giles, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Pascal Guénel, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Patricia A. Harrington, Steven N. Hart, Wei He, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Darling J. Horcasitas, Peter J. Hulick, David J. Hunter, Evgeny N. Imyanitov, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Agnes Jager, Anna Jakubowska, Paul A. James, Uffe Birk Jensen, Esther M. John, Michael E. Jones, Rudolf Kaaks, Pooja Middha Kapoor, Beth Y. Karlan, Renske Keeman, Elza Khusnutdinova, Johanna I. Kiiski, Yon-Dschun Ko, Veli-Matti Kosma, Peter Kraft, Allison W. Kurian, Yael Laitman, Diether Lambrechts, Loic Le Marchand, Jenny Lester, Fabienne Lesueur, Tricia Lindstrom, Adria Lopez-Fernández, Jennifer T. Loud, Craig Luccarini, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Noura Mebirouk, Alfons Meindl, Austin Miller, Roger L. Milne, Marco Montagna, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Finn C. Nielsen, Katie M. O’Brien, Olufunmilayo I. Olopade, Janet E. Olson, Håkan Olsson, Ana Osorio, Laura Ottini, Tjoung-Won Park-Simon, Michael T. Parsons, Inge Sokilde Pedersen, Beth Peshkin, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Eric C. Polley, Bruce Poppe, Nadege Presneau, Miquel Angel Pujana, Kevin Punie, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Gad Rennert, Hedy S. Rennert, Mark Robson, Atocha Romero, Maria Rossing, Emmanouil Saloustros, Dale P. Sandler, Regina Santella, Maren T. Scheuner, Marjanka K. Schmidt, Gunnar Schmidt, Christopher Scott, Priyanka Sharma, Penny Soucy, Melissa C. Southey, John J. Spinelli, Zoe Steinsnyder, Jennifer Stone, Dominique Stoppa-Lyonnet, Anthony Swerdlow, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Mary Beth Terry, Alex Teulé, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Alison H. Trainer, Thérèse Truong, Nadine Tung, Celine M. Vachon, Ana Vega, Joseph Vijai, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Alicja Wolk, Siddhartha Yadav, Xiaohong R. Yang, Drakoulis Yannoukakos, Wei Zheng, Argyrios Ziogas, Kristin K. Zorn, Sue K. Park, Mads Thomassen, Kenneth Offit, Rita K. Schmutzler, Fergus J. Couch, Jacques Simard, Georgia Chenevix-Trench, Douglas F. Easton, Nadine Andrieu, and Antonis C. Antoniou

Subjects
Science
Abstract

Breast cancer risk for BRCA1/BRCA2 mutation carriers varies depending on other genetic factors. Here, the authors perform a case-only genome-wide association study and highlight novel loci associated with breast cancer risk for BRCA1/BRCA2 mutation carriers.

Published
2021
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114. Exome Sequencing Implicates Impaired GABA Signaling and Neuronal Ion Transport in Trigeminal Neuralgia

Author

Dong, Weilai, Jin, Sheng Chih, Allocco, August, Zeng, Xue, Sheth, Amar H., Panchagnula, Shreyas, Castonguay, Annie, Lorenzo, Louis-Étienne, Islam, Barira, Brindle, Geneviève, Bachand, Karine, Hu, Jamie, Sularz, Agata, Gaillard, Jonathan, Choi, Jungmin, Dunbar, Ashley, Nelson-Williams, Carol, Kiziltug, Emre, Furey, Charuta Gavankar, Conine, Sierra, Duy, Phan Q., Kundishora, Adam J., Loring, Erin, Li, Boyang, Lu, Qiongshi, Zhou, Geyu, Liu, Wei, Li, Xinyue, Sierant, Michael C., Mane, Shrikant, Castaldi, Christopher, López-Giráldez, Francesc, Knight, James R., Sekula, Raymond F., Jr., Simard, J. Marc, Eskandar, Emad N., Gottschalk, Christopher, Moliterno, Jennifer, Günel, Murat, Gerrard, Jason L., Dib-Hajj, Sulayman, Waxman, Stephen G., Barker, Fred G., II, Alper, Seth L., Chahine, Mohamed, Haider, Shozeb, De Koninck, Yves, Lifton, Richard P., and Kahle, Kristopher T.

Published
2020
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115. Prevalent occupational exposures and risk of lung cancer among women: Results from the application of the Canadian Job‐Exposure Matrix (CANJEM) to a combined set of ten case–control studies

Author

Xu, Mengting, primary, Ho, Vikki, additional, Lavoué, Jérôme, additional, Olsson, Ann, additional, Schüz, Joachim, additional, Richardson, Lesley, additional, Parent, Marie‐Elise, additional, McLaughlin, John R., additional, Demers, Paul A., additional, Guénel, Pascal, additional, Radoi, Loredana, additional, Wichmann, Heinz‐Erich, additional, Ahrens, Wolfgang, additional, Jöckel, Karl‐Heinz, additional, Consonni, Dario, additional, Landi, Maria T., additional, Richiardi, Lorenzo, additional, Simonato, Lorenzo, additional, 't' Mannetje, Andrea, additional, Świątkowska, Beata, additional, Field, John K., additional, Pearce, Neil, additional, and Siemiatycki, Jack, additional

Published
2024
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116. Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation

Author

Ghoussaini, Maya, French, Juliet D, Michailidou, Kyriaki, Nord, Silje, Beesley, Jonathan, Canisus, Sander, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Marjaneh, Moradi, Lee, Jason S, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Milne, Roger L, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Alonso, M Rosario, Pita, Guillermo, Neuhausen, Susan L, Anton-Culver, Hoda, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Tessier, Daniel C, Vincent, Daniel, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, Dörk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Investigators, kConFab AOCS, Wu, Anna H, Van Den Berg, David, Lambrechts, Diether, Floris, Giuseppe, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Barile, Monica, Couch, Fergus J, Hallberg, Emily, Giles, Graham G, Haiman, Christopher A, Le Marchand, Loic, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Borresen-Dale, Anne-Lise, Collaborators, NBCS, Zheng, Wei, Cai, Qiuyin, Winqvist, Robert, Pylkäs, Katri, Andrulis, Irene L, Devilee, Peter, Tollenaar, Rob AEM, García-Closas, Montserrat, Figueroa, Jonine, Hall, Per, Czene, Kamila, Brand, Judith S, Darabi, Hatef, Eriksson, Mikael, Hooning, Maartje J, Koppert, Linetta B, Li, Jingmei, Shu, Xiao-Ou, Zheng, Ying, Cox, Angela, Cross, Simon S, Shah, Mitul, and Rhenius, Valerie

Subjects
Prevention, Genetics, Cancer, Breast Cancer, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromosomes, Human, Pair 5, Enhancer Elements, Genetic, Fibroblast Growth Factor 10, Genetic Predisposition to Disease, Haplotypes, Humans, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Quantitative Trait Loci, Receptor, Fibroblast Growth Factor, Type 2, Receptors, Estrogen, kConFab/AOCS Investigators, NBCS Collaborators, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWASs) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (BCAC). With data for 3,365 genotyped and imputed SNPs across a 1 Mb region (positions 44,394,495-45,364,167; NCBI build 37), we found evidence for at least three independent signals: the strongest signal, consisting of a single SNP rs10941679, was associated with risk of estrogen-receptor-positive (ER+) breast cancer (per-g allele OR ER+ = 1.15; 95% CI 1.13-1.18; p = 8.35 × 10-30). After adjustment for rs10941679, we detected signal 2, consisting of 38 SNPs more strongly associated with ER-negative (ER-) breast cancer (lead SNP rs6864776: per-a allele OR ER- = 1.10; 95% CI 1.05-1.14; p conditional = 1.44 × 10-12), and a single signal 3 SNP (rs200229088: per-t allele OR ER+ = 1.12; 95% CI 1.09-1.15; p conditional = 1.12 × 10-05). Expression quantitative trait locus analysis in normal breast tissues and breast tumors showed that the g (risk) allele of rs10941679 was associated with increased expression of FGF10 and MRPS30. Functional assays demonstrated that SNP rs10941679 maps to an enhancer element that physically interacts with the FGF10 and MRPS30 promoter regions in breast cancer cell lines. FGF10 is an oncogene that binds to FGFR2 and is overexpressed in ∼10% of human breast cancers, whereas MRPS30 plays a key role in apoptosis. These data suggest that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis.

Published
2016

117. Fine scale mapping of the 17q22 breast cancer locus using dense SNPs, genotyped within the Collaborative Oncological Gene-Environment Study (COGs).

Author

Darabi, Hatef, Beesley, Jonathan, Droit, Arnaud, Kar, Siddhartha, Nord, Silje, Moradi Marjaneh, Mahdi, Soucy, Penny, Michailidou, Kyriaki, Ghoussaini, Maya, Fues Wahl, Hanna, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Alonso, M Rosario, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Benitez, Javier, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Chang-Claude, Jenny, Choi, Ji-Yeob, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Easton, Douglas F, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Galle, Eva, García-Closas, Montserrat, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Haiman, Christopher A, Hallberg, Emily, Hamann, Ute, Hartman, Mikael, Hollestelle, Antoinette, Hopper, John L, Ito, Hidemi, Jakubowska, Anna, Johnson, Nichola, Kang, Daehee, Khan, Sofia, Kosma, Veli-Matti, Kriege, Mieke, Kristensen, Vessela, Lambrechts, Diether, Le Marchand, Loic, Lee, Soo Chin, Lindblom, Annika, Lophatananon, Artitaya, Lubinski, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Matsuo, Keitaro, Mayes, Rebecca, McKay, James, Meindl, Alfons, Milne, Roger L, Muir, Kenneth, Neuhausen, Susan L, Nevanlinna, Heli, Olswold, Curtis, Orr, Nick, Peterlongo, Paolo, Pita, Guillermo, Pylkäs, Katri, Rudolph, Anja, Sangrajrang, Suleeporn, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Shen, Chen-Yang, Shu, Xiao-Ou, Southey, Melissa C, Stram, Daniel O, Surowy, Harald, Swerdlow, Anthony, Teo, Soo H, Tessier, Daniel C, Tomlinson, Ian, Torres, Diana, and Truong, Thérèse

Abstract

Genome-wide association studies have found SNPs at 17q22 to be associated with breast cancer risk. To identify potential causal variants related to breast cancer risk, we performed a high resolution fine-mapping analysis that involved genotyping 517 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of genotypes for 3,134 SNPs in more than 89,000 participants of European ancestry from the Breast Cancer Association Consortium (BCAC). We identified 28 highly correlated common variants, in a 53 Kb region spanning two introns of the STXBP4 gene, that are strong candidates for driving breast cancer risk (lead SNP rs2787486 (OR = 0.92; CI 0.90-0.94; P = 8.96 × 10(-15))) and are correlated with two previously reported risk-associated variants at this locus, SNPs rs6504950 (OR = 0.94, P = 2.04 × 10(-09), r(2) = 0.73 with lead SNP) and rs1156287 (OR = 0.93, P = 3.41 × 10(-11), r(2) = 0.83 with lead SNP). Analyses indicate only one causal SNP in the region and several enhancer elements targeting STXBP4 are located within the 53 kb association signal. Expression studies in breast tumor tissues found SNP rs2787486 to be associated with increased STXBP4 expression, suggesting this may be a target gene of this locus.

Published
2016

118. Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent.

Author

Guo, Yan, Warren Andersen, Shaneda, Shu, Xiao-Ou, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Garcia-Closas, Montserrat, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Dunning, Allison, Bojesen, Stig E, Ahsan, Habibul, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bogdanova, Natalia V, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brand, Judith, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Casey, Graham, Chenevix-Trench, Georgia, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dumont, Martine, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gammon, Marilie, Giles, Graham G, Guénel, Pascal, Haiman, Christopher A, Hamann, Ute, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jasmine, Farzana, Jenkins, Mark, John, Esther M, Johnson, Nichola, Jones, Michael E, Kabisch, Maria, Kibriya, Muhammad, Knight, Julia A, Koppert, Linetta B, Kosma, Veli-Matti, Kristensen, Vessela, Le Marchand, Loic, Lee, Eunjung, Li, Jingmei, Lindblom, Annika, Luben, Robert, Lubinski, Jan, Malone, Kathi E, Mannermaa, Arto, Margolin, Sara, Marme, Frederik, McLean, Catriona, Meijers-Heijboer, Hanne, Meindl, Alfons, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Olson, Janet E, Perez, Jose IA, Perkins, Barbara, Peterlongo, Paolo, Phillips, Kelly-Anne, Pylkäs, Katri, Rudolph, Anja, Santella, Regina, Sawyer, Elinor J, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Shrubsole, Martha J, Southey, Melissa C, Swerdlow, Anthony J, Toland, Amanda E, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Ursin, Giske, Van Der Luijt, Rob B, and Verhoef, Senno

Subjects
Humans, Breast Neoplasms, Genetic Predisposition to Disease, Body Mass Index, Models, Statistical, Risk Factors, Menopause, Polymorphism, Single Nucleotide, Middle Aged, European Continental Ancestry Group, Female, Mendelian Randomization Analysis, Models, Statistical, Polymorphism, Single Nucleotide, Genetics, Prevention, Breast Cancer, Nutrition, Clinical Research, Cancer, Aging, Human Genome, 2.1 Biological and endogenous factors, General & Internal Medicine, Medical and Health Sciences
Abstract

BackgroundObservational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors.MethodsWe applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases  =  46,325, controls  =  42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively.ResultsIn the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR]  =  0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56-0.75, p = 3.32 × 10-10). The associations were similar for both premenopausal (OR   =   0.44, 95% CI:0.31-0.62, p  =  9.91 × 10-8) and postmenopausal breast cancer (OR  =  0.57, 95% CI: 0.46-0.71, p  =  1.88 × 10-8). This association was replicated in the data from the DRIVE consortium (OR  =  0.72, 95% CI: 0.60-0.84, p   =   1.64 × 10-7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p

Published
2016

119. An intergenic risk locus containing an enhancer deletion in 2q35 modulates breast cancer risk by deregulating IGFBP5 expression

Author

Wyszynski, Asaf, Hong, Chi-Chen, Lam, Kristin, Michailidou, Kyriaki, Lytle, Christian, Yao, Song, Zhang, Yali, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Peto, Julian, dos-Santos-Silva, Isabel, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Nordestgaard, Børge G, Gonzalez-Neira, Anna, Benitez, Javier, Neuhausen, Susan L, Brenner, Hermann, Dieffenbach, Aida Karina, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, Dörk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Wu, Anna H, Van Den Berg, David, Lambrechts, Diether, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Peterlongo, Paolo, Couch, Fergus J, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Henderson, Brian E, Dumont, Martine, Teo, Soo Hwang, Wong, Tien Y, Kristensen, Vessela, Zheng, Wei, Long, Jirong, Winqvist, Robert, Pylkäs, Katri, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, García-Closas, Montserrat, Figueroa, Jonine, Klevebring, Daniel, Czene, Kamila, Hooning, Maartje J, van den Ouweland, Ans M. W., Darabi, Hatef, Shu, Xiao-Ou, Gao, Yu-Tang, Cox, Angela, Blot, William, Signorello, Lisa B, Shah, Mitul, Kang, Daehee, Choi, Ji-Yeob, Hartman, Mikael, Miao, Hui, Hamann, Ute, Jakubowska, Anna, Lubinski, Jan, Sangrajrang, Suleeporn, McKay, James, Toland, Amanda E, Yannoukakos, Drakoulis, Shen, Chen-Yang, Wu, Pei-Ei, Swerdlow, Anthony, and Orr, Nick

Published
2016

120. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry.

Author

Arndt, Volker, Beckmann, Matthias, Beeghly-Fadiel, Alicia, Benitez, Javier, Blomqvist, Carl, Bogdanova, Natalia, Børresen-Dale, Anne-Lise, Brand, Judith, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Cai, Qiuyin, Casey, Graham, Chenevix-Trench, Georgia, Couch, Fergus, Cox, Angela, Cross, Simon, Czene, Kamila, Dörk, Thilo, Dumont, Martine, Fasching, Peter, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gammon, Marilie, Giles, Graham, Guénel, Pascal, Haiman, Christopher, Hamann, Ute, Harrington, Patricia, Hartman, Mikael, Hooning, Maartje, Hopper, John, Jakubowska, Anna, Jasmine, Farzana, John, Esther, Johnson, Nichola, Kabisch, Maria, Khan, Sofia, Kibriya, Muhammad, Knight, Julia, Kosma, Veli-Matti, Kriege, Mieke, Kristensen, Vessela, Le Marchand, Loic, Lee, Eunjung, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert, Lubinski, Jan, Malone, Kathleen, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Marme, Frederik, McLean, Catriona, Meijers-Heijboer, Hanne, Meindl, Alfons, Miao, Hui, Muir, Kenneth, Neuhausen, Susan, Nevanlinna, Heli, Neven, Patrick, Olson, Janet, Perkins, Barbara, Peterlongo, Paolo, Phillips, Kelly-Anne, Pylkäs, Katri, Rudolph, Anja, Santella, Regina, Sawyer, Elinor, Schmutzler, Rita, Schoemaker, Minouk, Shah, Mitul, Shrubsole, Martha, Southey, Melissa, Swerdlow, Anthony, Toland, Amanda, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, Ursin, Giske, Van Der Luijt, Rob, Verhoef, Senno, Wang-Gohrke, Shan, Whittemore, Alice, Winqvist, Robert, Pilar Zamora, M, Zhao, Hui, Dunning, Alison, Simard, Jacques, Hall, Per, Kraft, Peter, Pharoah, Paul, Hunter, David, Easton, Douglas, and Zheng, Wei

Subjects
Breast cancer, Epidemiology, GWAS, Genetic susceptibility, Type 2 diabetes, Breast Neoplasms, Case-Control Studies, Diabetes Mellitus, Type 2, Ethnicity, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People
Abstract

PURPOSE: Type 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors. METHODS: We constructed a genetic risk score (GRS) using risk variants from 33 known independent T2D susceptibility loci and evaluated its relation to breast cancer risk using the data from two consortia, including 62,328 breast cancer patients and 83,817 controls of European ancestry. Unconditional logistic regression models were used to derive adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) to measure the association of breast cancer risk with T2D GRS or T2D-associated genetic risk variants. Meta-analyses were conducted to obtain summary ORs across all studies. RESULTS: The T2D GRS was not found to be associated with breast cancer risk, overall, by menopausal status, or for estrogen receptor positive or negative breast cancer. Three T2D associated risk variants were individually associated with breast cancer risk after adjustment for multiple comparisons using the Bonferroni method (at p < 0.001), rs9939609 (FTO) (OR 0.94, 95 % CI = 0.92-0.95, p = 4.13E-13), rs7903146 (TCF7L2) (OR 1.04, 95 % CI = 1.02-1.06, p = 1.26E-05), and rs8042680 (PRC1) (OR 0.97, 95 % CI = 0.95-0.99, p = 8.05E-04). CONCLUSIONS: We have shown that several genetic risk variants were associated with the risk of both T2D and breast cancer. However, overall genetic susceptibility to T2D may not be related to breast cancer risk.

Published
2016

121. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

Author

Zhao, Zhiguo, Wen, Wanqing, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Zhang, Ben, Long, Jirong, Shu, Xiao-Ou, Schmidt, Marjanka K, Milne, Roger L, García-Closas, Montserrat, Chang-Claude, Jenny, Lindstrom, Sara, Bojesen, Stig E, Ahsan, Habibul, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Blomqvist, Carl, Bogdanova, Natalia V, Børresen-Dale, Anne-Lise, Brand, Judith, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Cai, Qiuyin, Casey, Graham, Chenevix-Trench, Georgia, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Dumont, Martine, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gammon, Marilie, Giles, Graham G, Guénel, Pascal, Haiman, Christopher A, Hamann, Ute, Harrington, Patricia, Hartman, Mikael, Hooning, Maartje J, Hopper, John L, Jakubowska, Anna, Jasmine, Farzana, John, Esther M, Johnson, Nichola, Kabisch, Maria, Khan, Sofia, Kibriya, Muhammad, Knight, Julia A, Kosma, Veli-Matti, Kriege, Mieke, Kristensen, Vessela, Le Marchand, Loic, Lee, Eunjung, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Luben, Robert, Lubinski, Jan, Malone, Kathleen E, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Marme, Frederik, McLean, Catriona, Meijers-Heijboer, Hanne, Meindl, Alfons, Miao, Hui, Muir, Kenneth, Neuhausen, Susan L, Nevanlinna, Heli, Neven, Patrick, Olson, Janet E, Perkins, Barbara, Peterlongo, Paolo, Phillips, Kelly-Anne, Pylkäs, Katri, Rudolph, Anja, Santella, Regina, Sawyer, Elinor J, Schmutzler, Rita K, Schoemaker, Minouk, Shah, Mitul, Shrubsole, Martha, Southey, Melissa C, Swerdlow, Anthony J, Toland, Amanda E, and Tomlinson, Ian

Subjects
Genetics, Breast Cancer, Prevention, Diabetes, Aging, Cancer, Clinical Research, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Case-Control Studies, Diabetes Mellitus, Type 2, Ethnicity, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People, Type 2 diabetes, Genetic susceptibility, GWAS, Breast cancer, Epidemiology, Oncology and Carcinogenesis, Public Health and Health Services
Abstract

PurposeType 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors.MethodsWe constructed a genetic risk score (GRS) using risk variants from 33 known independent T2D susceptibility loci and evaluated its relation to breast cancer risk using the data from two consortia, including 62,328 breast cancer patients and 83,817 controls of European ancestry. Unconditional logistic regression models were used to derive adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) to measure the association of breast cancer risk with T2D GRS or T2D-associated genetic risk variants. Meta-analyses were conducted to obtain summary ORs across all studies.ResultsThe T2D GRS was not found to be associated with breast cancer risk, overall, by menopausal status, or for estrogen receptor positive or negative breast cancer. Three T2D associated risk variants were individually associated with breast cancer risk after adjustment for multiple comparisons using the Bonferroni method (at p < 0.001), rs9939609 (FTO) (OR 0.94, 95 % CI = 0.92-0.95, p = 4.13E-13), rs7903146 (TCF7L2) (OR 1.04, 95 % CI = 1.02-1.06, p = 1.26E-05), and rs8042680 (PRC1) (OR 0.97, 95 % CI = 0.95-0.99, p = 8.05E-04).ConclusionsWe have shown that several genetic risk variants were associated with the risk of both T2D and breast cancer. However, overall genetic susceptibility to T2D may not be related to breast cancer risk.

Published
2016

122. No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing.

Author

Easton, Douglas F, Lesueur, Fabienne, Decker, Brennan, Michailidou, Kyriaki, Li, Jun, Allen, Jamie, Luccarini, Craig, Pooley, Karen A, Shah, Mitul, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahmad, Jamil, Thompson, Ella R, Damiola, Francesca, Pertesi, Maroulio, Voegele, Catherine, Mebirouk, Noura, Robinot, Nivonirina, Durand, Geoffroy, Forey, Nathalie, Luben, Robert N, Ahmed, Shahana, Aittomäki, Kristiina, Anton-Culver, Hoda, Arndt, Volker, Australian Ovarian Cancer Study Group, Baynes, Caroline, Beckman, Matthias W, Benitez, Javier, Van Den Berg, David, Blot, William J, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Chang-Claude, Jenny, Chia, Kee Seng, Choi, Ji-Yeob, Conroy, Don M, Cox, Angela, Cross, Simon S, Czene, Kamila, Darabi, Hatef, Devilee, Peter, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fostira, Florentia, García-Closas, Montserrat, Giles, Graham G, Glendon, Gord, González-Neira, Anna, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hart, Steven N, Hartman, Mikael, Hooning, Maartje J, Hsiung, Chia-Ni, Ito, Hidemi, Jakubowska, Anna, James, Paul A, John, Esther M, Johnson, Nichola, Jones, Michael, Kabisch, Maria, Kang, Daehee, kConFab Investigators, Kosma, Veli-Matti, Kristensen, Vessela, Lambrechts, Diether, Li, Na, Lifepool Investigators, Lindblom, Annika, Long, Jirong, Lophatananon, Artitaya, Lubinski, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Matsuo, Keitaro, Meindl, Alfons, Mitchell, Gillian, Muir, Kenneth, NBCS Investigators, Nevelsteen, Ines, van den Ouweland, Ans, Peterlongo, Paolo, Phuah, Sze Yee, Pylkäs, Katri, Rowley, Simone M, Sangrajrang, Suleeporn, Schmutzler, Rita K, Shen, Chen-Yang, Shu, Xiao-Ou, Southey, Melissa C, Surowy, Harald, Swerdlow, Anthony, and Teo, Soo H

Subjects
Australian Ovarian Cancer Study Group, kConFab Investigators, Lifepool Investigators, NBCS Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, RNA Helicases, DNA-Binding Proteins, Risk, Cohort Studies, Mutation, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Fanconi Anemia Complementation Group Proteins, Genetic Association Studies, Cancer: breast, Genetics & Heredity, Biological Sciences, Medical and Health Sciences
Abstract

BACKGROUND:BRCA1 interacting protein C-terminal helicase 1 (BRIP1) is one of the Fanconi Anaemia Complementation (FANC) group family of DNA repair proteins. Biallelic mutations in BRIP1 are responsible for FANC group J, and previous studies have also suggested that rare protein truncating variants in BRIP1 are associated with an increased risk of breast cancer. These studies have led to inclusion of BRIP1 on targeted sequencing panels for breast cancer risk prediction. METHODS:We evaluated a truncating variant, p.Arg798Ter (rs137852986), and 10 missense variants of BRIP1, in 48 144 cases and 43 607 controls of European origin, drawn from 41 studies participating in the Breast Cancer Association Consortium (BCAC). Additionally, we sequenced the coding regions of BRIP1 in 13 213 cases and 5242 controls from the UK, 1313 cases and 1123 controls from three population-based studies as part of the Breast Cancer Family Registry, and 1853 familial cases and 2001 controls from Australia. RESULTS:The rare truncating allele of rs137852986 was observed in 23 cases and 18 controls in Europeans in BCAC (OR 1.09, 95% CI 0.58 to 2.03, p=0.79). Truncating variants were found in the sequencing studies in 34 cases (0.21%) and 19 controls (0.23%) (combined OR 0.90, 95% CI 0.48 to 1.70, p=0.75). CONCLUSIONS:These results suggest that truncating variants in BRIP1, and in particular p.Arg798Ter, are not associated with a substantial increase in breast cancer risk. Such observations have important implications for the reporting of results from breast cancer screening panels.

Published
2016

123. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer.

Author

Couch, Fergus J, Kuchenbaecker, Karoline B, Michailidou, Kyriaki, Mendoza-Fandino, Gustavo A, Nord, Silje, Lilyquist, Janna, Olswold, Curtis, Hallberg, Emily, Agata, Simona, Ahsan, Habibul, Aittomäki, Kristiina, Ambrosone, Christine, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arun, Banu K, Arver, Brita, Barile, Monica, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Lars, Beckmann, Matthias W, Benitez, Javier, Blank, Stephanie V, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Canzian, Federico, Carpenter, Jane, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Damiola, Francesca, Darabi, Hatef, de la Hoya, Miguel, Devilee, Peter, Diez, Orland, Ding, Yuan C, Dolcetti, Riccardo, Domchek, Susan M, Dorfling, Cecilia M, Dos-Santos-Silva, Isabel, Dumont, Martine, Dunning, Alison M, Eccles, Diana M, Ehrencrona, Hans, Ekici, Arif B, Eliassen, Heather, Ellis, Steve, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Försti, Asta, Fostira, Florentia, Foulkes, William D, Friebel, Tara, Friedman, Eitan, Frost, Debra, Gabrielson, Marike, Gammon, Marilie D, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, Gaudet, Mia M, Gayther, Simon A, Gerdes, Anne-Marie, Ghoussaini, Maya, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Gunter, Marc, Haeberle, Lothar, Haiman, Christopher A, Hamann, Ute, Hansen, Thomas VO, Hart, Steven, Healey, Sue, Heikkinen, Tuomas, Henderson, Brian E, and Herzog, Josef

Subjects
Chromosomes, Human, Pair 2, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Cyclophilins, tRNA Methyltransferases, BRCA1 Protein, Receptors, Estrogen, Risk Factors, Genotype, Heterozygote, Mutation, Polymorphism, Single Nucleotide, Female, Genome-Wide Association Study, Chromosomes, Human, Pair 2, Receptors, Estrogen, Polymorphism, Single Nucleotide, Breast Cancer, Cancer, Prevention, Genetics, Human Genome, 2.1 Biological and endogenous factors
Abstract

Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P

Published
2016

124. Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170.

Author

Dunning, Alison M, Michailidou, Kyriaki, Kuchenbaecker, Karoline B, Thompson, Deborah, French, Juliet D, Beesley, Jonathan, Healey, Catherine S, Kar, Siddhartha, Pooley, Karen A, Lopez-Knowles, Elena, Dicks, Ed, Barrowdale, Daniel, Sinnott-Armstrong, Nicholas A, Sallari, Richard C, Hillman, Kristine M, Kaufmann, Susanne, Sivakumaran, Haran, Moradi Marjaneh, Mahdi, Lee, Jason S, Hills, Margaret, Jarosz, Monika, Drury, Suzie, Canisius, Sander, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Hopper, John L, Southey, Melissa C, Broeks, Annegien, Schmidt, Marjanka K, Lophatananon, Artitaya, Muir, Kenneth, Beckmann, Matthias W, Fasching, Peter A, Dos-Santos-Silva, Isabel, Peto, Julian, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, González-Neira, Anna, Perez, Jose IA, Anton-Culver, Hoda, Eunjung, Lee, Arndt, Volker, Brenner, Hermann, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Aittomäki, Kristiina, Blomqvist, Carl, Ito, Hidemi, Matsuo, Keitaro, Bogdanova, Natasha, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Kosma, Veli-Matti, Mannermaa, Arto, Tseng, Chiu-Chen, Wu, Anna H, Lambrechts, Diether, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Peterlongo, Paolo, Radice, Paolo, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Henderson, Brian E, Goldberg, Mark S, Teo, Soo H, Yip, Cheng Har, Nord, Silje, Borresen-Dale, Anne-Lise, Kristensen, Vessela, Long, Jirong, Zheng, Wei, Pylkäs, Katri, Winqvist, Robert, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, Figueroa, Jonine, Sherman, Mark E, Czene, Kamila, Darabi, Hatef, Hollestelle, Antoinette, van den Ouweland, Ans MW, Humphreys, Keith, Gao, Yu-Tang, and Shu, Xiao-Ou

Subjects
EMBRACE, GEMO Study Collaborators, HEBON, kConFab Investigators, Chromosomes, Human, Pair 6, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Carrier Proteins, Cell Cycle Proteins, Estrogen Receptor alpha, Risk Factors, Gene Expression, Gene Expression Regulation, Neoplastic, Base Sequence, Protein Binding, Phenotype, Polymorphism, Single Nucleotide, Female, Genetic Association Studies, Cancer, Clinical Research, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We analyzed 3,872 common genetic variants across the ESR1 locus (encoding estrogen receptor α) in 118,816 subjects from three international consortia. We found evidence for at least five independent causal variants, each associated with different phenotype sets, including estrogen receptor (ER(+) or ER(-)) and human ERBB2 (HER2(+) or HER2(-)) tumor subtypes, mammographic density and tumor grade. The best candidate causal variants for ER(-) tumors lie in four separate enhancer elements, and their risk alleles reduce expression of ESR1, RMND1 and CCDC170, whereas the risk alleles of the strongest candidates for the remaining independent causal variant disrupt a silencer element and putatively increase ESR1 and RMND1 expression.

Published
2016

125. BRCA2 Polymorphic Stop Codon K3326X and the Risk of Breast, Prostate, and Ovarian Cancers.

Author

Meeks, Huong D, Song, Honglin, Michailidou, Kyriaki, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Barrowdale, Daniel, Frost, Debra, EMBRACE, McGuffog, Lesley, Ellis, Steve, Feng, Bingjian, Buys, Saundra S, Hopper, John L, Southey, Melissa C, Tesoriero, Andrea, kConFab Investigators, James, Paul A, Bruinsma, Fiona, Campbell, Ian G, Australia Ovarian Cancer Study Group, Broeks, Annegien, Schmidt, Marjanka K, Hogervorst, Frans BL, HEBON, Beckman, Matthias W, Fasching, Peter A, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Riboli, Elio, Banerjee, Susana, Menon, Usha, Tomlinson, Ian, Burwinkel, Barbara, Hamann, Ute, Marme, Frederik, Rudolph, Anja, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Garber, Judy, Cramer, Daniel, Terry, Kathryn L, Poole, Elizabeth M, Tworoger, Shelley S, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Godwin, Andrew K, Guénel, Pascal, Truong, Thérèse, GEMO Study Collaborators, Stoppa-Lyonnet, Dominique, Damiola, Francesca, Mazoyer, Sylvie, Sinilnikova, Olga M, Isaacs, Claudine, Maugard, Christine, Bojesen, Stig E, Flyger, Henrik, Gerdes, Anne-Marie, Hansen, Thomas VO, Jensen, Allen, Kjaer, Susanne K, Hogdall, Claus, Hogdall, Estrid, Pedersen, Inge Sokilde, Thomassen, Mads, Benitez, Javier, González-Neira, Anna, Osorio, Ana, Hoya, Miguel de la, Segura, Pedro Perez, Diez, Orland, Lazaro, Conxi, Brunet, Joan, Anton-Culver, Hoda, Eunjung, Lee, John, Esther M, Neuhausen, Susan L, Ding, Yuan Chun, Castillo, Danielle, Weitzel, Jeffrey N, Ganz, Patricia A, Nussbaum, Robert L, Chan, Salina B, Karlan, Beth Y, Lester, Jenny, Wu, Anna, Gayther, Simon, Ramus, Susan J, Sieh, Weiva, Whittermore, Alice S, Monteiro, Alvaro NA, Phelan, Catherine M, Terry, Mary Beth, Piedmonte, Marion, Offit, Kenneth, Robson, Mark, and Levine, Douglas

Subjects
EMBRACE, kConFab Investigators, Australia Ovarian Cancer Study Group, HEBON, GEMO Study Collaborators, OCGN, PRostate cancer AssoCiation group To Investigate Cancer Associated aLterations in the genome, Humans, Breast Neoplasms, Ovarian Neoplasms, Prostatic Neoplasms, Neoplasm Invasiveness, Genetic Predisposition to Disease, Lysine, BRCA2 Protein, Codon, Terminator, Logistic Models, Odds Ratio, Risk Assessment, Risk Factors, Heterozygote, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Female, Male, Clinical Research, Prevention, Cancer, Prostate Cancer, Aging, Urologic Diseases, Breast Cancer, Ovarian Cancer, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10(-) (6)) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10(-3)). These associations were stronger for serous ovarian cancer and for estrogen receptor-negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10(-5) and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10(-5), respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations.

Published
2016

126. Genetic variation in the immunosuppression pathway genes and breast cancer susceptibility: a pooled analysis of 42,510 cases and 40,577 controls from the Breast Cancer Association Consortium

Author

Lei, Jieping, Rudolph, Anja, Moysich, Kirsten B, Behrens, Sabine, Goode, Ellen L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Easton, Douglas F, Wang, Qin, Benitez, Javier, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Fasching, Peter A, Haeberle, Lothar, Peto, Julian, dos-Santos-Silva, Isabel, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marmé, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Nielsen, Sune F, Nordestgaard, Børge G, González-Neira, Anna, Menéndez, Primitiva, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Nevanlinna, Heli, Fagerholm, Rainer, Dörk, Thilo, Bogdanova, Natalia V, Mannermaa, Arto, Hartikainen, Jaana M, Australian Ovarian Study Group, kConFab Investigators, Van Dijck, Laurien, Smeets, Ann, Flesch-Janys, Dieter, Eilber, Ursula, Radice, Paolo, Peterlongo, Paolo, Couch, Fergus J, Hallberg, Emily, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Schumacher, Fredrick, Simard, Jacques, Goldberg, Mark S, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Zheng, Wei, Beeghly-Fadiel, Alicia, Winqvist, Robert, Grip, Mervi, Andrulis, Irene L, Glendon, Gord, García-Closas, Montserrat, Figueroa, Jonine, Czene, Kamila, Brand, Judith S, Darabi, Hatef, Eriksson, Mikael, Hall, Per, Li, Jingmei, Cox, Angela, Cross, Simon S, Pharoah, Paul DP, Shah, Mitul, Kabisch, Maria, Torres, Diana, Jakubowska, Anna, Lubinski, Jan, Ademuyiwa, Foluso, Ambrosone, Christine B, Swerdlow, Anthony, Jones, Michael, and Chang-Claude, Jenny

Subjects
Breast Cancer, Genetics, Human Genome, Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Case-Control Studies, Female, Genetic Predisposition to Disease, Humans, Immune Tolerance, Polymorphism, Single Nucleotide, Australian Ovarian Study Group, kConFab Investigators, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity
Abstract

Immunosuppression plays a pivotal role in assisting tumors to evade immune destruction and promoting tumor development. We hypothesized that genetic variation in the immunosuppression pathway genes may be implicated in breast cancer tumorigenesis. We included 42,510 female breast cancer cases and 40,577 controls of European ancestry from 37 studies in the Breast Cancer Association Consortium (2015) with available genotype data for 3595 single nucleotide polymorphisms (SNPs) in 133 candidate genes. Associations between genotyped SNPs and overall breast cancer risk, and secondarily according to estrogen receptor (ER) status, were assessed using multiple logistic regression models. Gene-level associations were assessed based on principal component analysis. Gene expression analyses were conducted using RNA sequencing level 3 data from The Cancer Genome Atlas for 989 breast tumor samples and 113 matched normal tissue samples. SNP rs1905339 (A>G) in the STAT3 region was associated with an increased breast cancer risk (per allele odds ratio 1.05, 95 % confidence interval 1.03-1.08; p value = 1.4 × 10(-6)). The association did not differ significantly by ER status. On the gene level, in addition to TGFBR2 and CCND1, IL5 and GM-CSF showed the strongest associations with overall breast cancer risk (p value = 1.0 × 10(-3) and 7.0 × 10(-3), respectively). Furthermore, STAT3 and IL5 but not GM-CSF were differentially expressed between breast tumor tissue and normal tissue (p value = 2.5 × 10(-3), 4.5 × 10(-4) and 0.63, respectively). Our data provide evidence that the immunosuppression pathway genes STAT3, IL5, and GM-CSF may be novel susceptibility loci for breast cancer in women of European ancestry.

Published
2016

127. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus.

Author

Horne, Hisani N, Chung, Charles C, Zhang, Han, Yu, Kai, Prokunina-Olsson, Ludmila, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Nevanlinna, Heli, Khan, Sofia, Matsuo, Keitaro, Iwata, Hiroji, Dörk, Thilo, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Chenevix-Trench, Georgia, kConFab/AOCS Investigators, Wu, Anna H, Ven den Berg, David, Smeets, Ann, Zhao, Hui, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Barile, Monica, Couch, Fergus J, Vachon, Celine, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Marchand, Loic Le, Goldberg, Mark S, Teo, Soo H, Taib, Nur AM, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Zheng, Wei, Shrubsole, Martha, Winqvist, Robert, Jukkola-Vuorinen, Arja, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Seynaeve, Caroline, García-Closas, Montserrat, Czene, Kamila, Darabi, Hatef, Hollestelle, Antoinette, Martens, John WM, Li, Jingmei, Lu, Wei, Shu, Xiao-Ou, Cox, Angela, Cross, Simon S, Blot, William, Cai, Qiuyin, Shah, Mitul, Luccarini, Craig, Baynes, Caroline, Harrington, Patricia, Kang, Daehee, Choi, Ji-Yeob, Hartman, Mikael, Chia, Kee Seng, Kabisch, Maria, Torres, Diana, Jakubowska, Anna, and Lubinski, Jan

Subjects
kConFab/AOCS Investigators, Chromosomes, Human, Pair 1, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Population Surveillance, Risk Assessment, Case-Control Studies, Chromosome Mapping, Computational Biology, Gene Frequency, Genotype, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Alleles, Quantitative Trait Loci, Female, Genetic Association Studies, Neoplasm Grading, General Science & Technology
Abstract

The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive.

Published
2016

128. RAD51B in Familial Breast Cancer.

Author

Pelttari, Liisa M, Khan, Sofia, Vuorela, Mikko, Kiiski, Johanna I, Vilske, Sara, Nevanlinna, Viivi, Ranta, Salla, Schleutker, Johanna, Winqvist, Robert, Kallioniemi, Anne, Dörk, Thilo, Bogdanova, Natalia V, Figueroa, Jonine, Pharoah, Paul DP, Schmidt, Marjanka K, Dunning, Alison M, García-Closas, Montserrat, Bolla, Manjeet K, Dennis, Joe, Michailidou, Kyriaki, Wang, Qin, Hopper, John L, Southey, Melissa C, Rosenberg, Efraim H, Fasching, Peter A, Beckmann, Matthias W, Peto, Julian, Dos-Santos-Silva, Isabel, Sawyer, Elinor J, Tomlinson, Ian, Burwinkel, Barbara, Surowy, Harald, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Nordestgaard, Børge G, Benitez, Javier, González-Neira, Anna, Neuhausen, Susan L, Anton-Culver, Hoda, Brenner, Hermann, Arndt, Volker, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Brüning, Thomas, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Hartikainen, Jaana M, Chenevix-Trench, Georgia, kConFab/AOCS Investigators, Van Dyck, Laurien, Janssen, Hilde, Chang-Claude, Jenny, Rudolph, Anja, Radice, Paolo, Peterlongo, Paolo, Hallberg, Emily, Olson, Janet E, Giles, Graham G, Milne, Roger L, Haiman, Christopher A, Schumacher, Fredrick, Simard, Jacques, Dumont, Martine, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Zheng, Wei, Beeghly-Fadiel, Alicia, Grip, Mervi, Andrulis, Irene L, Glendon, Gord, Devilee, Peter, Seynaeve, Caroline, Hooning, Maartje J, Collée, Margriet, Cox, Angela, Cross, Simon S, Shah, Mitul, Luben, Robert N, Hamann, Ute, Torres, Diana, Jakubowska, Anna, Lubinski, Jan, Couch, Fergus J, Yannoukakos, Drakoulis, Orr, Nick, Swerdlow, Anthony, Darabi, Hatef, Li, Jingmei, Czene, Kamila, Hall, Per, Easton, Douglas F, Mattson, Johanna, Blomqvist, Carl, Aittomäki, Kristiina, and Nevanlinna, Heli

Subjects
kConFab/AOCS Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, DNA-Binding Proteins, Haplotypes, Heterozygote, Mutation, Missense, Polymorphism, Single Nucleotide, Middle Aged, Finland, Female, Male, Genotyping Techniques, General Science & Technology
Abstract

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.

Published
2016

129. Understanding tidal dissipation in gaseous giant planets from their core to their surface

Author

Guenel, M., Mathis, S., and Remus, F.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Tidal dissipation in planetary interiors is one of the key physical mechanisms that drive the evolution of star-planet and planet-moon systems. Tidal dissipation in planets is intrinsically related to their internal structure. In particular, fluid and solid layers behave differently under tidal forcing. Therefore, their respective dissipation reservoirs have to be compared. In this work, we compute separately the contributions of the potential dense rocky/icy core and of the convective fluid envelope of gaseous giant planets, as a function of core size and mass. We demonstrate that in general both mechanisms must be taken into account., Comment: 2 pages, 2 figures, CoRoT Symposium 3 / Kepler KASC-7 joint meeting, Toulouse, July 2014; To be published by EPJ Web of Conferences

Published
2014
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130. Understanding tidal dissipation in gaseous giant planets : the respective contributions of their core and envelope

Author

Guenel, M., Mathis, S., and Remus, F.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Tidal dissipation in planetary interiors is one of the key physical mechanisms that drive the evolution of star-planet and planet-moon systems. New constraints are now obtained both in the Solar and exoplanetary systems. Tidal dissipation in planets is intrinsically related to their internal structure. In particular, fluid and solid layers behave differently under tidal forcing. Therefore, their respective dissipation reservoirs have to be compared. In this work, we compute separately the contributions of the potential dense rocky/icy core and of the convective fluid envelope of gaseous giant planets, as a function of core size and mass. We then compare the associated dissipation reservoirs, by evaluating the frequency-average of the imaginary part of the Love numbers $k^2_2$ in each region. We demonstrate that in general both mechanisms must be taken into account., Comment: 4 pages, 3 figures, SF2A 2014 proceedings

Published
2014

131. Inertial waves in differentially rotating low-mass stars and tides

Author

Guenel, M., Baruteau, C., Mathis, S., and Rieutord, M.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Star-planet tidal interactions may result in the excitation of inertial waves in the convective region of stars. Their dissipation plays a prominent role in the long-term orbital evolution of short-period planets. If the star is assumed to be rotating as a solid-body, the waves' Doppler-shifted frequency is restricted to $[-2 \Omega, 2 \Omega]$ ($\Omega$ being the angular velocity of the star) and they can propagate in the entire convective region. However, turbulent convection can sustain differential rotation with an equatorial acceleration (as in the Sun) or deceleration that may modify waves propagation. We thus explore the properties of inertial modes of oscillation in a conically differentially rotating background flow whose angular velocity depends on the latitudinal coordinate only, close to what is expected in the external convective envelope of low-mass stars. We find that their frequency range is broadened by differential rotation, and that they may propagate only in a restricted part of the envelope. In some cases, inertial waves form shear layers around short-period attractor cycles. In others, they exhibit a remarkable behavior when a turning surface or a corotation layer exists in the star. We discuss how all these cases can impact tidal dissipation in stars., Comment: 4 pages, 3 figures, SF2A 2014 proceedings

Published
2014

132. Unravelling tidal dissipation in gaseous giant planets

Author

Guenel, Mathieu, Mathis, Stéphane, and Remus, Françoise

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Tidal dissipation in planetary interiors is one of the key physical mechanisms that drive the evolution of star-planet and planet-moon systems. New constraints are now obtained both in the Solar and exoplanetary systems. Tidal dissipation in planets is intrinsically related to their internal structure. In particular, fluid and solid layers behave differently under tidal forcing. Therefore, their respective dissipation reservoirs have to be compared. In this letter, we compute separately the contributions of the potential dense rocky/icy core and the convective fluid envelope of gaseous giant planets, as a function of core size and mass. We then compare the associated dissipation reservoirs, by evaluating the frequency-average of the imaginary part of the Love numbers $k^2_2$ in each region. In the case of Jupiter and Saturn-like planets, we show that the viscoelastic dissipation in the core could dominate the turbulent friction acting on tidal inertial waves in the envelope. However, the fluid dissipation would not be negligible. This demonstrates that it is necessary to build complete models of tidal dissipation in planetary interiors from their deep interior to their surface without any arbitrary a-priori., Comment: 4 pages, 4 figures, accepted for publication in A&A as a Letter

Published
2014
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134. A network analysis to identify mediators of germline-driven differences in breast cancer prognosis

Author

Maria Escala-Garcia, Jean Abraham, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Alan Ashworth, Paul L. Auer, Päivi Auvinen, Matthias W. Beckmann, Jonathan Beesley, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, William Blot, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Anne-Lise Børresen-Dale, Hiltrud Brauch, Hermann Brenner, Sara Y. Brucker, Barbara Burwinkel, Carlos Caldas, Federico Canzian, Jenny Chang-Claude, Stephen J. Chanock, Suet-Feung Chin, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Joe Dennis, Peter Devilee, Janet A. Dunn, Alison M. Dunning, Miriam Dwek, Helena M. Earl, Diana M. Eccles, A. Heather Eliassen, Carolina Ellberg, D. Gareth Evans, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Manuela Gago-Dominguez, Susan M. Gapstur, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Angela George, Graham G. Giles, David E. Goldgar, Anna González-Neira, Mervi Grip, Pascal Guénel, Qi Guo, Christopher A. Haiman, Niclas Håkansson, Ute Hamann, Patricia A. Harrington, Louise Hiller, Maartje J. Hooning, John L. Hopper, Anthony Howell, Chiun-Sheng Huang, Guanmengqian Huang, David J. Hunter, Anna Jakubowska, Esther M. John, Rudolf Kaaks, Pooja Middha Kapoor, Renske Keeman, Cari M. Kitahara, Linetta B. Koppert, Peter Kraft, Vessela N. Kristensen, Diether Lambrechts, Loic Le Marchand, Flavio Lejbkowicz, Annika Lindblom, Jan Lubiński, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, Maria Elena Martinez, Tabea Maurer, Dimitrios Mavroudis, Alfons Meindl, Roger L. Milne, Anna Marie Mulligan, Susan L. Neuhausen, Heli Nevanlinna, William G. Newman, Andrew F. Olshan, Janet E. Olson, Håkan Olsson, Nick Orr, Paolo Peterlongo, Christos Petridis, Ross L. Prentice, Nadege Presneau, Kevin Punie, Dhanya Ramachandran, Gad Rennert, Atocha Romero, Mythily Sachchithananthan, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Lukas Schwentner, Christopher Scott, Jacques Simard, Christof Sohn, Melissa C. Southey, Anthony J. Swerdlow, Rulla M. Tamimi, William J. Tapper, Manuel R. Teixeira, Mary Beth Terry, Heather Thorne, Rob A. E. M. Tollenaar, Ian Tomlinson, Melissa A. Troester, Thérèse Truong, Clare Turnbull, Celine M. Vachon, Lizet E. van der Kolk, Qin Wang, Robert Winqvist, Alicja Wolk, Xiaohong R. Yang, Argyrios Ziogas, Paul D. P. Pharoah, Per Hall, Lodewyk F. A. Wessels, Georgia Chenevix-Trench, Gary D. Bader, Thilo Dörk, Douglas F. Easton, Sander Canisius, and Marjanka K. Schmidt

Subjects
Science
Abstract

In breast cancer the contribution of different genetic variants to disease heritability is complex and not fully understood. Here, the authors present a network-based analysis in 84,567 patients studying ~7.3 million variants, identifying gene modules associated with breast cancer survival.

Published
2020
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137. Gene network and biological pathways associated with susceptibility to differentiated thyroid carcinoma

Author

Kulkarni, Om, Sugier, Pierre-Emmanuel, Guibon, Julie, Boland-Augé, Anne, Lonjou, Christine, Bacq-Daian, Delphine, Olaso, Robert, Rubino, Carole, Souchard, Vincent, Rachedi, Frédérique, Lence-Anta, Juan Jesus, Ortiz, Rosa Maria, Xhaard, Constance, Laurent-Puig, Pierre, Mulot, Claire, Guizard, Anne-Valérie, Schvartz, Claire, Boutron-Ruault, Marie-Christine, Ostroumova, Evgenia, Kesminiene, Ausrele, Deleuze, Jean-François, Guénel, Pascal, De Vathaire, Florent, Truong, Thérèse, and Lesueur, Fabienne

Published
2021
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138. Fine-scale mapping of the 4q24 locus identifies two independent loci associated with breast cancer risk.

Author

Arndt, Volker, Beckmann, Matthias, Beeghly-Fadiel, Alicia, Benitez, Javier, Blot, William, Bogdanova, Natalia, Bojesen, Stig, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Hui, Canisius, Sander, Chang-Claude, Jenny, Choi, Ji-Yeob, Couch, Fergus, Cox, Angela, Cross, Simon, Czene, Kamila, Darabi, Hatef, Devilee, Peter, Droit, Arnaud, Dörk, Thilo, Fasching, Peter, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Gaborieau, Valerie, García-Closas, Montserrat, Giles, Graham, Grip, Mervi, Guénel, Pascal, Haiman, Christopher, Hamann, Ute, Hartman, Mikael, Hollestelle, Antoinette, Hopper, John, Hsiung, Chia-Ni, Ito, Hidemi, Jakubowska, Anna, Johnson, Nichola, Kabisch, Maria, Kang, Daehee, Khan, Sofia, Knight, Julia, Kosma, Veli-Matti, Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Lindblom, Annika, Lophatananon, Artitaya, Lubinski, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Marme, Frederik, Matsuo, Keitaro, McLean, Catriona, Meindl, Alfons, Muir, Kenneth, Neuhausen, Susan, Nevanlinna, Heli, Nord, Silje, Olson, Janet, Orr, Nick, Peterlongo, Paolo, Putti, Thomas, Rudolph, Anja, Sangrajrang, Suleeporn, Sawyer, Elinor, Schmidt, Marjanka, Schmutzler, Rita, Shen, Chen-Yang, Shi, Jiajun, Shrubsole, Martha, Southey, Melissa, Swerdlow, Anthony, Teo, Soo, Thienpont, Bernard, Toland, Amanda, Tollenaar, Robert, Tomlinson, Ian, Truong, Thérèse, Tseng, Chiu-Chen, van den Ouweland, Ans, Wen, Wanqing, Winqvist, Robert, Wu, Anna, Yip, Cheng, Zamora, M, Zheng, Ying, Hall, Per, Pharoah, Paul, Simard, Jacques, Chenevix-Trench, Georgia, Dunning, Alison, Easton, Douglas, and Zheng, Wei

Subjects
Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 4, Female, Genetic Loci, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, Risk Factors
Abstract

BACKGROUND: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. METHODS: We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium. RESULTS: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10(-4); OR, 1.04; 95% confidence interval (CI), 1.02-1.07] and rs77928427 (P = 1.86 × 10(-4); OR, 1.04; 95% CI, 1.02-1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r(2) ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor-binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue. CONCLUSION: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2. IMPACT: Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk.

Published
2015

139. Height and Breast Cancer Risk: Evidence From Prospective Studies and Mendelian Randomization

Author

Zhang, Ben, Shu, Xiao-Ou, Delahanty, Ryan J, Zeng, Chenjie, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Wen, Wanqing, Long, Jirong, Li, Chun, Dunning, Alison M, Chang-Claude, Jenny, Shah, Mitul, Perkins, Barbara J, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Neven, Patrick, Wildiers, Hans, Floris, Giuseppe, Schmidt, Marjanka K, Rookus, Matti A, van den Hurk, Katja, de Kort, Wim LAM, Couch, Fergus J, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, Dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Li, Jingmei, Humphreys, Keith, Brand, Judith, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Menegaux, Florence, Burwinkel, Barbara, Marme, Frederik, Yang, Rongxi, Surowy, Harald, Benitez, Javier, Zamora, M Pilar, Perez, Jose IA, Cox, Angela, Cross, Simon S, Reed, Malcolm WR, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Tchatchou, Sandrine, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Chenevix-Trench, Georgia, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Marchand, Loic Le, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Martens, John WM, Tilanus-Linthorst, Madeleine MA, Collée, J Margriet, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Slager, Susan, Toland, Amanda E, Ambrosone, Christine B, Yannoukakos, Drakoulis, Giles, Graham G, Milne, Roger L, McLean, Catriona, Fasching, Peter A, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, and Stegmaier, Christa

Subjects
Clinical Research, Aging, Cancer, Prevention, Breast Cancer, Human Genome, Genetics, Aetiology, 2.1 Biological and endogenous factors, Body Height, Breast Neoplasms, Evidence-Based Medicine, Female, Humans, Mendelian Randomization Analysis, Odds Ratio, Prospective Studies, Risk Factors, kConFab Investigators, Australian Ovarian Study Group, DRIVE Project, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Epidemiological studies have linked adult height with breast cancer risk in women. However, the magnitude of the association, particularly by subtypes of breast cancer, has not been established. Furthermore, the mechanisms of the association remain unclear. We performed a meta-analysis to investigate associations between height and breast cancer risk using data from 159 prospective cohorts totaling 5216302 women, including 113178 events. In a consortium with individual-level data from 46325 case patients and 42482 control patients, we conducted a Mendelian randomization analysis using a genetic score that comprised 168 height-associated variants as an instrument. This association was further evaluated in a second consortium using summary statistics data from 16003 case patients and 41335 control patients. The pooled relative risk of breast cancer was 1.17 (95% confidence interval [CI] = 1.15 to 1.19) per 10cm increase in height in the meta-analysis of prospective studies. In Mendelian randomization analysis, the odds ratio of breast cancer per 10cm increase in genetically predicted height was 1.22 (95% CI = 1.13 to 1.32) in the first consortium and 1.21 (95% CI = 1.05 to 1.39) in the second consortium. The association was found in both premenopausal and postmenopausal women but restricted to hormone receptor-positive breast cancer. Analyses of height-associated variants identified eight new loci associated with breast cancer risk after adjusting for multiple comparisons, including three loci at 1q21.2, DNAJC27, and CCDC91 at genome-wide significance level P < 5×10(-8). Our study provides strong evidence that adult height is a risk factor for breast cancer in women and certain genetic factors and biological pathways affecting adult height have an important role in the etiology of breast cancer.

Published
2015

140. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair.

Author

Day, Felix R, Ruth, Katherine S, Thompson, Deborah J, Lunetta, Kathryn L, Pervjakova, Natalia, Chasman, Daniel I, Stolk, Lisette, Finucane, Hilary K, Sulem, Patrick, Bulik-Sullivan, Brendan, Esko, Tõnu, Johnson, Andrew D, Elks, Cathy E, Franceschini, Nora, He, Chunyan, Altmaier, Elisabeth, Brody, Jennifer A, Franke, Lude L, Huffman, Jennifer E, Keller, Margaux F, McArdle, Patrick F, Nutile, Teresa, Porcu, Eleonora, Robino, Antonietta, Rose, Lynda M, Schick, Ursula M, Smith, Jennifer A, Teumer, Alexander, Traglia, Michela, Vuckovic, Dragana, Yao, Jie, Zhao, Wei, Albrecht, Eva, Amin, Najaf, Corre, Tanguy, Hottenga, Jouke-Jan, Mangino, Massimo, Smith, Albert V, Tanaka, Toshiko, Abecasis, Goncalo, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Arndt, Volker, Arnold, Alice M, Barbieri, Caterina, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bielinski, Suzette J, Blomqvist, Carl, Boerwinkle, Eric, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borresen-Dale, Anne-Lise, Boutin, Thibaud S, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Campbell, Archie, Campbell, Harry, Chanock, Stephen J, Chapman, J Ross, Chen, Yii-Der Ida, Chenevix-Trench, Georgia, Couch, Fergus J, Coviello, Andrea D, Cox, Angela, Czene, Kamila, Darabi, Hatef, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Eicher, John D, Fasching, Peter A, Faul, Jessica D, Figueroa, Jonine, Flesch-Janys, Dieter, Gandin, Ilaria, Garcia, Melissa E, García-Closas, Montserrat, Giles, Graham G, Girotto, Giorgia G, Goldberg, Mark S, González-Neira, Anna, Goodarzi, Mark O, Grove, Megan L, Gudbjartsson, Daniel F, Guénel, Pascal, Guo, Xiuqing, Haiman, Christopher A, Hall, Per, and Hamann, Ute

Subjects
PRACTICAL consortium, kConFab Investigators, AOCS Investigators, Generation Scotland, EPIC-InterAct Consortium, LifeLines Cohort Study, Hypothalamus, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, Genomics, Age Factors, Signal Transduction, DNA Repair, Aging, Reproduction, Menopause, Genotype, Phenotype, Models, Genetic, Adult, Middle Aged, Female, Gene Regulatory Networks, Genetic Variation, Genome-Wide Association Study, Models, Genetic, Developmental Biology, Medical and Health Sciences, Biological Sciences
Abstract

Menopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in ∼70,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (∼6% increase in risk per year; P = 3 × 10(-14)), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.

Published
2015

141. Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression

Author

Darabi, Hatef, McCue, Karen, Beesley, Jonathan, Michailidou, Kyriaki, Nord, Silje, Kar, Siddhartha, Humphreys, Keith, Thompson, Deborah, Ghoussaini, Maya, Bolla, Manjeet K, Dennis, Joe, Wang, Qin, Canisius, Sander, Scott, Christopher G, Apicella, Carmel, Hopper, John L, Southey, Melissa C, Stone, Jennifer, Broeks, Annegien, Schmidt, Marjanka K, Scott, Rodney J, Lophatananon, Artitaya, Muir, Kenneth, Beckmann, Matthias W, Ekici, Arif B, Fasching, Peter A, Heusinger, Katharina, dos-Santos-Silva, Isabel, Peto, Julian, Tomlinson, Ian, Sawyer, Elinor J, Burwinkel, Barbara, Marme, Frederik, Guénel, Pascal, Truong, Thérèse, Bojesen, Stig E, Flyger, Henrik, Benitez, Javier, González-Neira, Anna, Anton-Culver, Hoda, Neuhausen, Susan L, Arndt, Volker, Brenner, Hermann, Engel, Christoph, Meindl, Alfons, Schmutzler, Rita K, Cancer, German Consortium of Hereditary Breast and Ovarian, Arnold, Norbert, Brauch, Hiltrud, Hamann, Ute, Chang-Claude, Jenny, Khan, Sofia, Nevanlinna, Heli, Ito, Hidemi, Matsuo, Keitaro, Bogdanova, Natalia V, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Investigators, kConFab AOCS, Kosma, Veli-Matti, Mannermaa, Arto, Tseng, Chiu-chen, Wu, Anna H, Floris, Giuseppe, Lambrechts, Diether, Rudolph, Anja, Peterlongo, Paolo, Radice, Paolo, Couch, Fergus J, Vachon, Celine, Giles, Graham G, McLean, Catriona, Milne, Roger L, Dugué, Pierre-Antoine, Haiman, Christopher A, Maskarinec, Gertraud, Woolcott, Christy, Henderson, Brian E, Goldberg, Mark S, Simard, Jacques, Teo, Soo H, Mariapun, Shivaani, Helland, Åslaug, Haakensen, Vilde, Zheng, Wei, Beeghly-Fadiel, Alicia, Tamimi, Rulla, Jukkola-Vuorinen, Arja, Winqvist, Robert, Andrulis, Irene L, Knight, Julia A, Devilee, Peter, Tollenaar, Robert AEM, Figueroa, Jonine, García-Closas, Montserrat, Czene, Kamila, Hooning, Maartje J, Tilanus-Linthorst, Madeleine, and Li, Jingmei

Subjects
Human Genome, Aging, Cancer, Clinical Research, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Age Factors, Asian People, Autophagy-Related Proteins, Body Mass Index, Breast Neoplasms, Chromosome Mapping, Chromosomes, Human, Pair 10, DNA-Binding Proteins, Enhancer Elements, Genetic, Female, Gene Expression Regulation, Genome-Wide Association Study, Genotype, Humans, Luciferases, Odds Ratio, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regression Analysis, Trans-Activators, Transcription Factors, White People, German Consortium of Hereditary Breast and Ovarian Cancer, kConFab/AOCS Investigators, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine mapped the association signal by genotyping 428 SNPs across the region in 89,050 European and 12,893 Asian case and control subjects from the Breast Cancer Association Consortium. We identified four independent sets of correlated, highly trait-associated variants (iCHAVs), three of which were located within ZNF365. The most strongly risk-associated SNP, rs10995201 in iCHAV1, showed clear evidence of association with both estrogen receptor (ER)-positive (OR = 0.85 [0.82-0.88]) and ER-negative (OR = 0.87 [0.82-0.91]) disease, and was also the SNP most strongly associated with percent mammographic density. iCHAV2 (lead SNP, chr10: 64,258,684:D) and iCHAV3 (lead SNP, rs7922449) were also associated with ER-positive (OR = 0.93 [0.91-0.95] and OR = 1.06 [1.03-1.09]) and ER-negative (OR = 0.95 [0.91-0.98] and OR = 1.08 [1.04-1.13]) disease. There was weaker evidence for iCHAV4, located 5' of ADO, associated only with ER-positive breast cancer (OR = 0.93 [0.90-0.96]). We found 12, 17, 18, and 2 candidate causal SNPs for breast cancer in iCHAVs 1-4, respectively. Chromosome conformation capture analysis showed that iCHAV2 interacts with the ZNF365 and NRBF2 (more than 600 kb away) promoters in normal and cancerous breast epithelial cells. Luciferase assays did not identify SNPs that affect transactivation of ZNF365, but identified a protective haplotype in iCHAV2, associated with silencing of the NRBF2 promoter, implicating this gene in the etiology of breast cancer.

Published
2015

142. Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2.

Author

Orr, Nick, Dudbridge, Frank, Dryden, Nicola, Maguire, Sarah, Novo, Daniela, Perrakis, Eleni, Johnson, Nichola, Ghoussaini, Maya, Hopper, John, Southey, Melissa, Apicella, Carmel, Stone, Jennifer, Schmidt, Marjanka, Broeks, Annegien, Vant Veer, Laura, Hogervorst, Frans, Fasching, Peter, Haeberle, Lothar, Ekici, Arif, Beckmann, Matthias, Gibson, Lorna, Aitken, Zoe, Warren, Helen, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Chistof, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Sanchez, Marie, Bojesen, Stig, Nordestgaard, Børge, Nielsen, Sune, Flyger, Henrik, Benitez, Javier, Zamora, Maria, Arias Perez, Jose, Menéndez, Primitiva, Neuhausen, Susan, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Hamann, Ute, Brauch, Hiltrud, Justenhoven, Christina, Brüning, Thomas, Ko, Yon-Dschun, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Khan, Sofia, Bogdanova, Natalia, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Chenevix-Trench, Georgia, Beesley, Jonathan, Lambrechts, Diether, Moisse, Matthieu, Floris, Guiseppe, Beuselinck, Benoit, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Peissel, Bernard, Pensotti, Valeria, Couch, Fergus, Olson, Janet, Slettedahl, Seth, Vachon, Celine, Giles, Graham, Milne, Roger, McLean, Catriona, Haiman, Christopher, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Goldberg, Mark, Labrèche, France, Dumont, Martine, Kristensen, Vessela, Alnæs, Grethe, Nord, Silje, Borresen-Dale, Anne-Lise, Zheng, Wei, and Deming-Halverson, Sandra

Subjects
Adult, Aged, Asian People, Breast Neoplasms, Chromosome Mapping, Chromosomes, Human, Pair 9, Enhancer Elements, Genetic, Estrogen Receptor alpha, Female, GATA3 Transcription Factor, Genetic Association Studies, Genetic Loci, Genetic Predisposition to Disease, Hepatocyte Nuclear Factor 3-alpha, Humans, Kruppel-Like Factor 4, Kruppel-Like Transcription Factors, Middle Aged, Polymorphism, Single Nucleotide, Risk, White People
Abstract

We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88-0.92]; P-value = 1.58 × 10(-25)). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans ∼14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08-1.17]; P-value = 7.89 × 10(-09)) and rs13294895 (OR = 1.09 [1.06-1.12]; P-value = 2.97 × 10(-11)). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06-1.18]; P-value = 2.77 × 10(-05)). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.

Published
2015

143. Investigation of gene‐environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors

Author

Rudolph, Anja, Milne, Roger L, Truong, Thérèse, Knight, Julia A, Seibold, Petra, Flesch‐Janys, Dieter, Behrens, Sabine, Eilber, Ursula, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Dunning, Alison M, Shah, Mitul, Munday, Hannah R, Darabi, Hatef, Eriksson, Mikael, Brand, Judith S, Olson, Janet, Vachon, Celine M, Hallberg, Emily, Castelao, J Esteban, Carracedo, Angel, Torres, Maria, Li, Jingmei, Humphreys, Keith, Cordina‐Duverger, Emilie, Menegaux, Florence, Flyger, Henrik, Nordestgaard, Børge G, Nielsen, Sune F, Yesilyurt, Betul T, Floris, Giuseppe, Leunen, Karin, Engelhardt, Ellen G, Broeks, Annegien, Rutgers, Emiel J, Glendon, Gord, Mulligan, Anna Marie, Cross, Simon, Reed, Malcolm, Gonzalez‐Neira, Anna, Perez, José Ignacio Arias, Provenzano, Elena, Apicella, Carmel, Southey, Melissa C, Spurdle, Amanda, Investigators, kConFab, Group, AOCS, Häberle, Lothar, Beckmann, Matthias W, Ekici, Arif B, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, McLean, Catriona, Baglietto, Laura, Chanock, Stephen J, Lissowska, Jolanta, Sherman, Mark E, Brüning, Thomas, Hamann, Ute, Ko, Yon‐Dschun, Orr, Nick, Schoemaker, Minouk, Ashworth, Alan, Kosma, Veli‐Matti, Kataja, Vesa, Hartikainen, Jaana M, Mannermaa, Arto, Swerdlow, Anthony, GENICA‐Network, Giles, Graham G, Brenner, Hermann, Fasching, Peter A, Chenevix‐Trench, Georgia, Hopper, John, Benítez, Javier, Cox, Angela, Andrulis, Irene L, Lambrechts, Diether, Gago‐Dominguez, Manuela, Couch, Fergus, Czene, Kamila, Bojesen, Stig E, Easton, Doug F, Schmidt, Marjanka K, Guénel, Pascal, Hall, Per, Pharoah, Paul DP, Garcia‐Closas, Montserrat, and Chang‐Claude, Jenny

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Breast Cancer, Aging, Prevention, Genetics, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, gene-environment interaction, breast cancer, risk factor, genetic susceptibility, kConFab Investigators, AOCS Group, GENICA-Network, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

A large genotyping project within the Breast Cancer Association Consortium (BCAC) recently identified 41 associations between single nucleotide polymorphisms (SNPs) and overall breast cancer (BC) risk. We investigated whether the effects of these 41 SNPs, as well as six SNPs associated with estrogen receptor (ER) negative BC risk are modified by 13 environmental risk factors for BC. Data from 22 studies participating in BCAC were pooled, comprising up to 26,633 cases and 30,119 controls. Interactions between SNPs and environmental factors were evaluated using an empirical Bayes-type shrinkage estimator. Six SNPs showed interactions with associated p-values (pint )

Published
2015

144. Inherited variants in the inner centromere protein (INCENP) gene of the chromosomal passenger complex contribute to the susceptibility of ER-negative breast cancer

Author

Kabisch, Maria, Bermejo, Justo Lorenzo, Dünnebier, Thomas, Ying, Shibo, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Shah, Mitul, Perkins, Barbara J, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Neven, Patrick, Peeters, Stephanie, Weltens, Caroline, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Purrington, Kristen, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, dos-Santos-Silva, Isabel, Johnson, Nichola, Fletcher, Olivia, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Hogervorst, Frans BL, Li, Jingmei, Brand, Judith S, Humphreys, Keith, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marmé, Frederik, Yang, Rongxi, Bugert, Peter, González-Neira, Anna, Benitez, Javier, Zamora, M Pilar, Perez, Jose I Arias, Cox, Angela, Cross, Simon S, Reed, Malcolm WR, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Tchatchou, Sandrine, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Haiman, Christopher A, Schumacher, Fredrick, Henderson, Brian E, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Kriege, Mieke, Koppert, Linetta B, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Slettedahl, Seth, Toland, Amanda E, Vachon, Celine, Yannoukakos, Drakoulis, Giles, Graham G, Milne, Roger L, McLean, Catriona, Fasching, Peter A, Ruebner, Matthias, Ekici, Arif B, Beckmann, Matthias W, Brenner, Hermann, Dieffenbach, Aida K, Arndt, Volker, Stegmaier, Christa, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk J, and Swerdlow, Anthony

Subjects
Cancer, Human Genome, Prevention, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, 3' Untranslated Regions, Aurora Kinase B, Breast Neoplasms, Case-Control Studies, Cell Cycle Proteins, Chromosomal Proteins, Non-Histone, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inhibitor of Apoptosis Proteins, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk, Survivin, White People, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

The chromosomal passenger complex (CPC) plays a pivotal role in the regulation of cell division. Therefore, inherited CPC variability could influence tumor development. The present candidate gene approach investigates the relationship between single nucleotide polymorphisms (SNPs) in genes encoding key CPC components and breast cancer risk. Fifteen SNPs in four CPC genes (INCENP, AURKB, BIRC5 and CDCA8) were genotyped in 88 911 European women from 39 case-control studies of the Breast Cancer Association Consortium. Possible associations were investigated in fixed-effects meta-analyses. The synonymous SNP rs1675126 in exon 7 of INCENP was associated with overall breast cancer risk [per A allele odds ratio (OR) 0.95, 95% confidence interval (CI) 0.92-0.98, P = 0.007] and particularly with estrogen receptor (ER)-negative breast tumors (per A allele OR 0.89, 95% CI 0.83-0.95, P = 0.0005). SNPs not directly genotyped were imputed based on 1000 Genomes. The SNPs rs1047739 in the 3' untranslated region and rs144045115 downstream of INCENP showed the strongest association signals for overall (per T allele OR 1.03, 95% CI 1.00-1.06, P = 0.0009) and ER-negative breast cancer risk (per A allele OR 1.06, 95% CI 1.02-1.10, P = 0.0002). Two genotyped SNPs in BIRC5 were associated with familial breast cancer risk (top SNP rs2071214: per G allele OR 1.12, 95% CI 1.04-1.21, P = 0.002). The data suggest that INCENP in the CPC pathway contributes to ER-negative breast cancer susceptibility in the European population. In spite of a modest contribution of CPC-inherited variants to the total burden of sporadic and familial breast cancer, their potential as novel targets for breast cancer treatment should be further investigated.

Published
2015

145. Fine-Scale Mapping of the 5q11.2 Breast Cancer Locus Reveals at Least Three Independent Risk Variants Regulating MAP3K1

Author

Glubb, Dylan M, Maranian, Mel J, Michailidou, Kyriaki, Pooley, Karen A, Meyer, Kerstin B, Kar, Siddhartha, Carlebur, Saskia, O’Reilly, Martin, Betts, Joshua A, Hillman, Kristine M, Kaufmann, Susanne, Beesley, Jonathan, Canisius, Sander, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B, van der Schoot, C Ellen, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Ruebner, Matthias, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Pharoah, Paul DP, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Yang, Rongxi, Surowy, Harald, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, González-Neira, Anna, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Anton-Culver, Hoda, Neuhausen, Susan L, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Schmutzler, Rita K, Brauch, Hiltrud, Ko, Yon-Dschun, Brüning, Thomas, Network, The GENICA, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tanaka, Hideo, Dörk, Thilo, Bogdanova, Natalia V, Helbig, Sonja, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Investigators, kConFab, Wu, Anna H, Tseng, Chiu-chen, Van Den Berg, David, Stram, Daniel O, Lambrechts, Diether, Zhao, Hui, Weltens, Caroline, van Limbergen, Erik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, and Radice, Paolo

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Human Genome, Prevention, Breast Cancer, Cancer, Estrogen, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromosome Mapping, Chromosomes, Human, Pair 5, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, MAP Kinase Kinase Kinase 1, MCF-7 Cells, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, Quantitative Trait Loci, Racial Groups, Risk Factors, GENICA Network, kConFab Investigators, Norwegian Breast Cancer Study, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Genome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer individuals and control individuals from 52 studies in the Breast Cancer Association Consortium. Multiple logistic regression analyses identified three independent risk signals: the strongest associations were with 15 correlated variants (iCHAV1), where the minor allele of the best candidate, rs62355902, associated with significantly increased risks of both estrogen-receptor-positive (ER(+): odds ratio [OR] = 1.24, 95% confidence interval [CI] = 1.21-1.27, ptrend = 5.7 × 10(-44)) and estrogen-receptor-negative (ER(-): OR = 1.10, 95% CI = 1.05-1.15, ptrend = 3.0 × 10(-4)) tumors. After adjustment for rs62355902, we found evidence of association of a further 173 variants (iCHAV2) containing three subsets with a range of effects (the strongest was rs113317823 [pcond = 1.61 × 10(-5)]) and five variants composing iCHAV3 (lead rs11949391; ER(+): OR = 0.90, 95% CI = 0.87-0.93, pcond = 1.4 × 10(-4)). Twenty-six percent of the prioritized candidate variants coincided with four putative regulatory elements that interact with the MAP3K1 promoter through chromatin looping and affect MAP3K1 promoter activity. Functional analysis indicated that the cancer risk alleles of four candidates (rs74345699 and rs62355900 [iCHAV1], rs16886397 [iCHAV2a], and rs17432750 [iCHAV3]) increased MAP3K1 transcriptional activity. Chromatin immunoprecipitation analysis revealed diminished GATA3 binding to the minor (cancer-protective) allele of rs17432750, indicating a mechanism for its action. We propose that the cancer risk alleles act to increase MAP3K1 expression in vivo and might promote breast cancer cell survival.

Published
2015

146. Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk.

Author

Lin, Wei-Yu, Camp, Nicola J, Ghoussaini, Maya, Beesley, Jonathan, Michailidou, Kyriaki, Hopper, John L, Apicella, Carmel, Southey, Melissa C, Stone, Jennifer, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Th Rutgers, Emiel J, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Haeberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, Dos-Santos-Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Sawyer, Elinor J, Cheng, Timothy, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marmé, Frederik, Surowy, Harald M, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Mulot, Claire, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Benitez, Javier, Zamora, M Pilar, Arias Perez, Jose Ignacio, Menéndez, Primitiva, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Alvarez, Nuria, Herrero, Daniel, Anton-Culver, Hoda, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita K, Müller-Myhsok, Bertram, Brauch, Hiltrud, Brüning, Thomas, Ko, Yon-Dschun, GENICA Network, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Khan, Sofia, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Horio, Akiyo, Bogdanova, Natalia V, Antonenkova, Natalia N, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Neven, Patrick, Wauters, Els, Wildiers, Hans, Lambrechts, Diether, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, and Flesch-Janys, Dieter

Subjects
GENICA Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Breast and Ovarian Cancer Susceptibility (BOCS) Study, Chromosomes, Human, Pair 2, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Proteins, Case-Control Studies, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Female, Caspase 8, CASP8 and FADD-Like Apoptosis Regulating Protein, Genome-Wide Association Study, Genotyping Techniques, Chromosomes, Human, Pair 2, Polymorphism, Single Nucleotide, Prevention, Genetics, Human Genome, Breast Cancer, Cancer, Biotechnology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Previous studies have suggested that polymorphisms in CASP8 on chromosome 2 are associated with breast cancer risk. To clarify the role of CASP8 in breast cancer susceptibility, we carried out dense genotyping of this region in the Breast Cancer Association Consortium (BCAC). Single-nucleotide polymorphisms (SNPs) spanning a 1 Mb region around CASP8 were genotyped in 46 450 breast cancer cases and 42 600 controls of European origin from 41 studies participating in the BCAC as part of a custom genotyping array experiment (iCOGS). Missing genotypes and SNPs were imputed and, after quality exclusions, 501 typed and 1232 imputed SNPs were included in logistic regression models adjusting for study and ancestry principal components. The SNPs retained in the final model were investigated further in data from nine genome-wide association studies (GWAS) comprising in total 10 052 case and 12 575 control subjects. The most significant association signal observed in European subjects was for the imputed intronic SNP rs1830298 in ALS2CR12 (telomeric to CASP8), with per allele odds ratio and 95% confidence interval [OR (95% confidence interval, CI)] for the minor allele of 1.05 (1.03-1.07), P = 1 × 10(-5). Three additional independent signals from intronic SNPs were identified, in CASP8 (rs36043647), ALS2CR11 (rs59278883) and CFLAR (rs7558475). The association with rs1830298 was replicated in the imputed results from the combined GWAS (P = 3 × 10(-6)), yielding a combined OR (95% CI) of 1.06 (1.04-1.08), P = 1 × 10(-9). Analyses of gene expression associations in peripheral blood and normal breast tissue indicate that CASP8 might be the target gene, suggesting a mechanism involving apoptosis.

Published
2015

147. Breast cancer risk in relation to ambient concentrations of nitrogen dioxide and particulate matter: results of a population-based case-control study corrected for potential selection bias (the CECILE study)

Author

Clémentine Lemarchand, Stephan Gabet, Sylvie Cénée, Nastassia Tvardik, Rémy Slama, and Pascal Guénel

Subjects
Air pollution, Breast cancer, Menopausal status, Breast cancer subtypes, Case-control study, Environmental sciences, GE1-350
Abstract

Background: There is only scant evidence that air pollution increases the risk of breast cancer. Objectives: We investigated this relationship for three air pollutants: nitrogen dioxide (NO2) and particulate matter with an aerodynamical diameter below 10 µm (PM10) and 2.5 µm (PM2.5). Methods: We conducted a population-based case-control study on breast cancer in two French départements, including 1,229 women diagnosed with breast cancer in 2005–2007 and 1,316 control women frequency-matched on age. Concentrations of NO2, PM10 and PM2.5 at participants’ addresses occupied during the last 10 years were assessed using a chemistry transport model. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated using multivariable logistic regression models where each woman was assigned a weight depending on her probability of selection into the study. Results: The OR for breast cancer per 10-µg/m3 increase in NO2 was 1.11 (95% CI, 0.98, 1.26), and 1.41 (95% CI 1.07, 1.86) in the highest exposure quintile (Q5), compared to the first. The ORs per 10-µg/m3 NO2 did not markedly differ between pre- (OR 1.09, 95% CI 0.89, 1.35)) and post-menopausal women (OR 1.14, 95% CI 0.97, 1.33)), but the OR was substantially higher for hormone-receptor positive (ER+/PR+) breast tumor subtypes (OR 1.15, 95% CI 1.00, 1.31) than for ER–/PR– tumors (OR 0.95, 95% CI 0.72, 1.26). Breast cancer risk was not associated with either PM10 (OR per 1 µg/m3 1.01, 95% CI, 0.96, 1.06) or PM2.5 (OR per 1 µg/m3 1.02, 95% CI 0.95, 1.08), regardless of the menopausal status or of the breast tumor subtype. Discussion: Our study provides evidence that NO2 exposure, a marker of traffic-related air pollutants, may be associated with an increased risk of breast cancer, particularly ER+/PR+ tumors.

Published
2021
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149. Scanning tunneling microscopy with InAs nanowire tips

Author

Flöhr, Kilian, Sladek, Kamil, Günel, H. Yusuf, Lepsa, Mihail Ion, Hardtdegen, Hilde, Liebmann, Marcus, Schäpers, Thomas, and Morgenstern, Markus

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

Indium arsenide nanowires grown by selective-area vapor phase epitaxy are used as tips for scanning tunneling microscopy (STM). The STM tips are realized by positioning the wires manually on the corner of a double cleaved gallium arsenide wafer with submicrometer precision and contacting them lithographically, which is fully compatible with further integrated circuitry on the GaAs wafer. STM images show a z-noise of 2 pm and a lateral stability of, at least, 0.5 nm on a Au(111) surface. I(z) spectroscopy reveals an exponential decay indicating tunneling through vacuum. Subsequent electron microscopy images of the tip demonstrate that the wires are barely modified during the STM imaging.

Published
2012
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150. Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset

Author

Sahlberg, Kristine K., Børresen-Dale, Anne-Lise, Gram, Inger Torhild, Olsen, Karina Standahl, Engebråten, Olav, Naume, Bjørn, Geisler, Jürgen, OSBREAC, Grenaker Alnæs, Grethe I., Amor, David, Andrews, Lesley, Antill, Yoland, Balleine, Rosemary, Beesley, Jonathan, Bennett, Ian, Bogwitz, Michael, Bodek, Simon, Botes, Leon, Brennan, Meagan, Brown, Melissa, Buckley, Michael, Burke, Jo, Butow, Phyllis, Caldon, Liz, Campbell, Ian, Cao, Michelle, Chakrabarti, Anannya, Chauhan, Deepa, Chauhan, Manisha, Christian, Alice, Cohen, Paul, Colley, Alison, Crook, Ashley, Cui, James, Courtney, Eliza, Cummings, Margaret, Dawson, Sarah-Jane, deFazio, Anna, Delatycki, Martin, Dickson, Rebecca, Dixon, Joanne, Edwards, Stacey, Farshid, Gelareh, Fellows, Andrew, Fenton, Georgina, Field, Michael, Flanagan, James, Fong, Peter, Forrest, Laura, Fox, Stephen, French, Juliet, Friedlander, Michael, Gaff, Clara, Gattas, Mike, George, Peter, Greening, Sian, Harris, Marion, Hart, Stewart, Harraka, Philip, Hayward, Nick, Hopper, John, Hoskins, Cass, Hunt, Clare, Jenkins, Mark, Kidd, Alexa, Kirk, Judy, Koehler, Jessica, Kollias, James, Lakhani, Sunil, Lawrence, Mitchell, Lee, Jason, Li, Shuai, Lindeman, Geoff, Lippey, Jocelyn, Lipton, Lara, Lobb, Liz, Loi, Sherene, Mann, Graham, Marsh, Deborah, McLachlan, Sue Anne, Meiser, Bettina, Nightingale, Sophie, O'Connell, Shona, O'Sullivan, Sarah, Ortega, David Gallego, Pachter, Nick, Pang, Jia-Min, Pathak, Gargi, Patterson, Briony, Pearn, Amy, Phillips, Kelly, Pieper, Ellen, Ramus, Susan, Rickard, Edwina, Ragunathan, Abi, Robinson, Bridget, Saleh, Mona, Skandarajah, Anita, Salisbury, Elizabeth, Saunders, Christobel, Saunus, Jodi, Savas, Peter, Scott, Rodney, Scott, Clare, Sexton, Adrienne, Shaw, Joanne, Shelling, Andrew, Srinivasa, Shweta, Simpson, Peter, Taylor, Jessica, Taylor, Renea, Thorne, Heather, Trainer, Alison, Tucker, Kathy, Visvader, Jane, Walker, Logan, Williams, Rachael, Winship, Ingrid, Young, Mary Ann, Zaheed, Milita, Davidson, Aimee L., Michailidou, Kyriaki, Parsons, Michael T., Fortuno, Cristina, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Naven, Marc, Abubakar, Mustapha, Ahearn, Thomas U., Alonso, M. Rosario, Andrulis, Irene L., Antoniou, Antonis C., Auvinen, Päivi, Behrens, Sabine, Bermisheva, Marina A., Bogdanova, Natalia V., Bojesen, Stig E., Brüning, Thomas, Byers, Helen J., Camp, Nicola J., Campbell, Archie, Castelao, Jose E., Cessna, Melissa H., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Collée, J. Margriet, Czene, Kamila, Dörk, Thilo, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine D., Flyger, Henrik, Gago-Dominguez, Manuela, García-Closas, Montserrat, Glendon, Gord, González-Neira, Anna, Grassmann, Felix, Gronwald, Jacek, Guénel, Pascal, Hadjisavvas, Andreas, Haeberle, Lothar, Hall, Per, Hamann, Ute, Hartman, Mikael, Ho, Peh Joo, Hooning, Maartje J., Hoppe, Reiner, Howell, Anthony, Jakubowska, Anna, Khusnutdinova, Elza K., Kristensen, Vessela N., Li, Jingmei, Lim, Joanna, Lindblom, Annika, Liu, Jenny, Lophatananon, Artitaya, Mannermaa, Arto, Mavroudis, Dimitrios A., Mensenkamp, Arjen R., Milne, Roger L., Muir, Kenneth R., Newman, William G., Obi, Nadia, Panayiotidis, Mihalis I., Park, Sue K., Park-Simon, Tjoung-Won, Peterlongo, Paolo, Radice, Paolo, Rashid, Muhammad U., Rhenius, Valerie, Saloustros, Emmanouil, Sawyer, Elinor J., Schmidt, Marjanka K., Seibold, Petra, Shah, Mitul, Southey, Melissa C., Teo, Soo Hwang, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, van de Beek, Irma, van der Hout, Annemieke H., Wendt, Camilla C., Dunning, Alison M., Pharoah, Paul D.P., Devilee, Peter, Easton, Douglas F., James, Paul A., and Spurdle, Amanda B.

Published
2024
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