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1. Genome-wide association study of germline variants and breast cancer-specific mortality.

Author: Escala-Garcia, Maria, Guo, Qi, Dörk, Thilo, Canisius, Sander, Keeman, Renske, Dennis, Joe, Beesley, Jonathan, Lecarpentier, Julie, Bolla, Manjeet K, Wang, Qin, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Auer, Paul L, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brentnall, Adam, Brinton, Louise, Broberg, Per, Brock, Ian W, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Caldés, Trinidad, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Chin, Suet-Feung, Clarke, Christine L, NBCS Collaborators, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Durcan, Lorraine, Dwek, Miriam, Earl, Helena M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Galle, Eva, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Georgoulias, Vassilios, Giles, Graham G, Glendon, Gord, Goldgar, David E, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan, Harkness, Elaine F, Harrington, Patricia A, Hart, Steven N, Hartikainen, Jaana M, Hein, Alexander, Hillemanns, Peter, Hiller, Louise, and Holleczek, Bernd
Subjects: NBCS Collaborators, Chromosomes, Human, Pair 7, Humans, Breast Neoplasms, Receptors, Estrogen, Prognosis, Proportional Hazards Models, Bayes Theorem, Female, Genetic Variation, Genome-Wide Association Study, White People, Genetics, Breast Cancer, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract: BackgroundWe examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.MethodsMeta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).ResultsWe did not find any variant associated with breast cancer-specific mortality at P
Published: 2019

2. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer

Author: Wu, Lang, Shi, Wei, Long, Jirong, Guo, Xingyi, Michailidou, Kyriaki, Beesley, Jonathan, Bolla, Manjeet K, Shu, Xiao-Ou, Lu, Yingchang, Cai, Qiuyin, Al-Ejeh, Fares, Rozali, Esdy, Wang, Qin, Dennis, Joe, Li, Bingshan, Zeng, Chenjie, Feng, Helian, Gusev, Alexander, Barfield, Richard T, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Burwinkel, Barbara, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, J Esteban, Chang-Claude, Jenny, Chen, Xiaoqing, Cheng, Ting-Yuan David, Christiansen, Hans, Clarke, Christine L, NBCS Collaborators, Collée, Margriet, Cornelissen, Sten, Couch, Fergus J, Cox, David, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dwek, Miriam, Eccles, Diana M, Eilber, Ursula, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, and Huang, Guanmengqian
Subjects: Biological Sciences, Genetics, Cancer, Breast Cancer, Human Genome, Prevention, Women's Health, Cancer Genomics, Biotechnology, 2.1 Biological and endogenous factors, Generic health relevance, Breast Neoplasms, Case-Control Studies, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk, Transcriptome, NBCS Collaborators, kConFab/AOCS Investigators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P
Published: 2018

3. Publisher Correction: Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation.

Author: Ghoussaini, Maya, Edwards, Stacey L, Michailidou, Kyriaki, Nord, Silje, Cowper-Sal Lari, Richard, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M, Kaufmann, Susanne, Glubb, Dylan M, Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K, Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Thienpont, Bernard, Neven, Patrick, Wildiers, Hans, Broeks, Annegien, Van't Veer, Laura J, Rutgers, Emiel J Th, Couch, Fergus J, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, Dos-Santos-Silva, Isabel, Gibson, Lorna, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Hall, Per, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K, Noh, Dong-Young, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Benitez, Javier, Pilar Zamora, M, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Shu, Xiao-Ou, Lu, Wei, Gao, Yu-Tang, Cai, Qiuyin, 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, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, and Teo, Soo Hwang
Abstract: This corrects the article DOI: 10.1038/ncomms5999.
Published: 2018

4. Correction: Publisher Correction: Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation

Author: Ghoussaini, Maya, Edwards, Stacey L, Michailidou, Kyriaki, Nord, Silje, Cowper-Sal·lari, Richard, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M, Kaufmann, Susanne, Glubb, Dylan M, Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K, Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Thienpont, Bernard, Neven, Patrick, Wildiers, Hans, Broeks, Annegien, Van’t Veer, Laura J, Rutgers, Emiel J Th, Couch, Fergus J, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, dos-Santos-Silva, Isabel, Gibson, Lorna, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Hall, Per, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K, Noh, Dong-Young, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Wu, Anna H, Tseng, Chiu-chen, Van Den Berg, David, Stram, Daniel O, Benitez, Javier, Pilar Zamora, M, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Shu, Xiao-Ou, Lu, Wei, Gao, Yu-Tang, Cai, Qiuyin, 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, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, and Teo, Soo Hwang
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer
Abstract: This corrects the article DOI: 10.1038/ncomms5999.
Published: 2018

5. PHIP - a novel candidate breast cancer susceptibility locus on 6q14.1

Author: Jiao, Xiang, Aravidis, Christos, Marikkannu, Rajeshwari, Rantala, Johanna, Picelli, Simone, Adamovic, Tatjana, Liu, Tao, Maguire, Paula, Kremeyer, Barbara, Luo, Liping, von Holst, Susanna, Kontham, Vinaykumar, Thutkawkorapin, Jessada, Margolin, Sara, Du, Quan, Lundin, Johanna, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Beckmann, Matthias W, Blomqvist, Carl, Blot, William, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Chang-Claude, Jenny, Couch, Fergus J, Cox, Angela, Cross, Simon S, Deming-Halverson, Sandra L, Devilee, Peter, dos-Santos-Silva, Isabel, Dörk, Thilo, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, García-Closas, Montserrat, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Guo, Qi, Gündert, Melanie, Haiman, Christopher A, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hooning, Maartje J, Hopper, John L, Huang, Guanmengqian, Jakubowska, Anna, Jones, Michael E, Kerin, Michael J, Kosma, Veli-Matti, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lubinski, Jan, Mannermaa, Arto, Martens, John WM, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Peto, Julian, Pylkäs, Katri, Radice, Paolo, Rhenius, Valerie, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Simard, Jacques, Southey, Melissa C, Swerdlow, Anthony J, Truong, Thérèse, Wendt, Camilla, Winqvist, Robert, Zheng, Wei, Benitez, Javier, Dunning, Alison M, and Pharoah, Paul DP
Subjects: Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, familial breast cancer, linkage analysis, risk haplotype, sequencing, NBCS Collaborators, kConFab/AOCS Investigators, Oncology and Carcinogenesis
Abstract: Most non-BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD >2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene.
Published: 2017

6. 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

7. 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

8. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus.

Author: Lawrenson, Kate, Kar, Siddhartha, McCue, Karen, Kuchenbaeker, Karoline, Michailidou, Kyriaki, Tyrer, Jonathan, Beesley, Jonathan, Ramus, Susan J, Li, Qiyuan, Delgado, Melissa K, Lee, Janet M, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arun, Banu K, Arver, Brita, Bandera, Elisa V, Barile, Monica, Barkardottir, Rosa B, Barrowdale, Daniel, Beckmann, Matthias W, Benitez, Javier, Berchuck, Andrew, Bisogna, Maria, Bjorge, Line, Blomqvist, Carl, Blot, William, Bogdanova, Natalia, Bojesen, Anders, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brennan, Paul, Brenner, Hermann, Bruinsma, Fiona, Brunet, Joan, Buhari, Shaik Ahmad, Burwinkel, Barbara, Butzow, Ralf, Buys, Saundra S, Cai, Qiuyin, Caldes, Trinidad, Campbell, Ian, Canniotto, Rikki, Chang-Claude, Jenny, Chiquette, Jocelyne, Choi, Ji-Yeob, Claes, Kathleen BM, GEMO Study Collaborators, Cook, Linda S, Cox, Angela, Cramer, Daniel W, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, Damiola, Francesca, Dansonka-Mieszkowska, Agnieszka, Darabi, Hatef, Dennis, Joe, Devilee, Peter, Diez, Orland, Doherty, Jennifer A, Domchek, Susan M, Dorfling, Cecilia M, Dörk, Thilo, Dumont, Martine, Ehrencrona, Hans, Ejlertsen, Bent, Ellis, Steve, EMBRACE, Engel, Christoph, Lee, Eunjung, Evans, D Gareth, Fasching, Peter A, Feliubadalo, Lidia, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Foretova, Lenka, Fostira, Florentia, Foulkes, William D, Fridley, Brooke L, Friedman, Eitan, Frost, Debra, Gambino, Gaetana, Ganz, Patricia A, Garber, Judy, García-Closas, Montserrat, Gentry-Maharaj, Aleksandra, Ghoussaini, Maya, Giles, Graham G, Glasspool, Rosalind, Godwin, Andrew K, Goldberg, Mark S, and Goldgar, David E
Subjects: GEMO Study Collaborators, EMBRACE, Hereditary Breast and Ovarian Cancer Research Group Netherlands, KConFab Investigators, Australian Ovarian Cancer Study Group, Chromosomes, Human, Pair 19, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, RNA, Messenger, Genotype, Polymorphism, Single Nucleotide, Alleles, African Continental Ancestry Group, Asian Continental Ancestry Group, Female, Genome-Wide Association Study, Chromosomes, Human, Pair 19, RNA, Messenger, Polymorphism, Single Nucleotide, Prevention, Breast Cancer, Ovarian Cancer, Cancer, Rare Diseases, Genetics, 2.1 Biological and endogenous factors
Abstract: A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. Here we analyse 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identify 13 candidate causal SNPs associated with serous OC (P=9.2 × 10(-20)), ER-negative BC (P=1.1 × 10(-13)), BRCA1-associated BC (P=7.7 × 10(-16)) and triple negative BC (P-diff=2 × 10(-5)). Genotype-gene expression associations are identified for candidate target genes ANKLE1 (P=2 × 10(-3)) and ABHD8 (P
Published: 2016

9. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P, Beesley, Jonathan, Olama, Ali Amin Al, Michailidou, Kyriaki, Tyrer, Jonathan, Kote-Jarai, ZSofia, Lawrenson, Kate, Lindstrom, Sara, Ramus, Susan J, Thompson, Deborah J, Investigators, ABCTB, Kibel, Adam S, Dansonka-Mieszkowska, Agnieszka, Michael, Agnieszka, Dieffenbach, Aida K, Gentry-Maharaj, Aleksandra, Whittemore, Alice S, Wolk, Alicja, Monteiro, Alvaro, Peixoto, Ana, Kierzek, Andrzej, Cox, Angela, Rudolph, Anja, Gonzalez-Neira, Anna, Wu, Anna H, Lindblom, Annika, Swerdlow, Anthony, Study, AOCS Study Group amp Australian Cancer, BioResource, APCB, Ziogas, Argyrios, Ekici, Arif B, Burwinkel, Barbara, Karlan, Beth Y, Nordestgaard, Børge G, Blomqvist, Carl, Phelan, Catherine, McLean, Catriona, Pearce, Celeste Leigh, Vachon, Celine, Cybulski, Cezary, Slavov, Chavdar, Stegmaier, Christa, Maier, Christiane, Ambrosone, Christine B, Høgdall, Claus K, Teerlink, Craig C, Kang, Daehee, Tessier, Daniel C, Schaid, Daniel J, Stram, Daniel O, Cramer, Daniel W, Neal, David E, Eccles, Diana, Flesch-Janys, Dieter, Edwards, Digna R Velez, Wokozorczyk, Dominika, Levine, Douglas A, Yannoukakos, Drakoulis, Sawyer, Elinor J, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Khusnutdinova, Elza, Høgdall, Estrid, Song, Fengju, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Hamdy, Freddie C, Wiklund, Fredrik, Giles, Graham G, Olsson, Håkan, Wildiers, Hans, Ulmer, Hans-Ulrich, Pandha, Hardev, Risch, Harvey A, Darabi, Hatef, Salvesen, Helga B, Nevanlinna, Heli, Gronberg, Henrik, Brenner, Hermann, Brauch, Hiltrud, Anton-Culver, Hoda, Song, Honglin, Lim, Hui-Yi, McNeish, Iain, Campbell, Ian, Vergote, Ignace, Gronwald, Jacek, Lubiński, Jan, Stanford, Janet L, Benítez, Javier, Doherty, Jennifer A, Permuth, Jennifer B, Chang-Claude, Jenny, Donovan, Jenny L, Dennis, Joe, Schildkraut, Joellen M, Schleutker, Johanna, and Hopper, John L
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Aging, Urologic Diseases, Prostate Cancer, Ovarian Cancer, Rare Diseases, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Datasets as Topic, Enhancer Elements, Genetic, Female, Gene Regulatory Networks, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Organ Specificity, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Signal Transduction, ABCTB Investigators, AOCS Study Group & Australian Cancer Study, APCB BioResource, kConFab Investigators, NBCS Investigators, GENICA Network, PRACTICAL consortium, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract: UnlabelledBreast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SignificanceWe demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.
Published: 2016

10. 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

11. 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

12. 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

13. No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer

Author: Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Hollestelle, Antoinette, van der Baan, Frederieke H, Berchuck, Andrew, Johnatty, Sharon E, Aben, Katja K, Agnarsson, Bjarni A, Aittomäki, Kristiina, Alducci, Elisa, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Antoniou, Antonis C, Apicella, Carmel, Arndt, Volker, Arnold, Norbert, Arun, Banu K, Arver, Brita, Ashworth, Alan, Group, Australian Ovarian Cancer Study, Baglietto, Laura, Balleine, Rosemary, Bandera, Elisa V, Barrowdale, Daniel, Bean, Yukie T, Beckmann, Lars, Beckmann, Matthias W, Benitez, Javier, Berger, Andreas, Berger, Raanan, Beuselinck, Benoit, Bisogna, Maria, Bjorge, Line, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brand, Judith S, Brauch, Hiltrud, Register, Breast Cancer Family, Brenner, Hermann, Brinton, Louise, Brooks-Wilson, Angela, Bruinsma, Fiona, Brunet, Joan, Brüning, Thomas, Budzilowska, Agnieszka, Bunker, Clareann H, Burwinkel, Barbara, Butzow, Ralf, Buys, Saundra S, Caligo, Maria A, Campbell, Ian, Carter, Jonathan, Chang-Claude, Jenny, Chanock, Stephen J, Claes, Kathleen BM, Collée, J Margriet, Cook, Linda S, Couch, Fergus J, Cox, Angela, Cramer, Daniel, Cross, Simon S, Cunningham, Julie M, Cybulski, Cezary, Czene, Kamila, Damiola, Francesca, Dansonka-Mieszkowska, Agnieszka, Darabi, Hatef, de la Hoya, Miguel, deFazio, Anna, Dennis, Joseph, Devilee, Peter, Dicks, Ed M, Diez, Orland, Doherty, Jennifer A, Domchek, Susan M, Dorfling, Cecilia M, Dörk, Thilo, Dos Santos Silva, Isabel, du Bois, Andreas, Dumont, Martine, Dunning, Alison M, Duran, Mercedes, Easton, Douglas F, Eccles, Diana, Edwards, Robert P, Ehrencrona, Hans, Ejlertsen, Bent, Ekici, Arif B, Ellis, Steve D, EMBRACE, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Feliubadalo, Lidia, Figueroa, Jonine, and Flesch-Janys, Dieter
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Research, Clinical Trials and Supportive Activities, Ovarian Cancer, Genetic Testing, Women's Health, Rare Diseases, Prevention, Breast Cancer, Genetics, Cancer, 2.1 Biological and endogenous factors, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Proto-Oncogene Proteins p21(ras), KRAS variant, Breast cancer, Ovarian cancer, Genetic association, Clinical outcome, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, and Consortium of Modifiers of BRCA1 and BRCA2, Australian Ovarian Cancer Study Group, Breast Cancer Family Register, EMBRACE, GEMO Study Collaborators, GENICA Network, HEBON, KConFab Investigators, SWE-BRCA, Paediatrics and Reproductive Medicine, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis, Reproductive medicine
Abstract: ObjectiveClinical genetic testing is commercially available for rs61764370, an inherited variant residing in a KRAS 3' UTR microRNA binding site, based on suggested associations with increased ovarian and breast cancer risk as well as with survival time. However, prior studies, emphasizing particular subgroups, were relatively small. Therefore, we comprehensively evaluated ovarian and breast cancer risks as well as clinical outcome associated with rs61764370.MethodsCentralized genotyping and analysis were performed for 140,012 women enrolled in the Ovarian Cancer Association Consortium (15,357 ovarian cancer patients; 30,816 controls), the Breast Cancer Association Consortium (33,530 breast cancer patients; 37,640 controls), and the Consortium of Modifiers of BRCA1 and BRCA2 (14,765 BRCA1 and 7904 BRCA2 mutation carriers).ResultsWe found no association with risk of ovarian cancer (OR=0.99, 95% CI 0.94-1.04, p=0.74) or breast cancer (OR=0.98, 95% CI 0.94-1.01, p=0.19) and results were consistent among mutation carriers (BRCA1, ovarian cancer HR=1.09, 95% CI 0.97-1.23, p=0.14, breast cancer HR=1.04, 95% CI 0.97-1.12, p=0.27; BRCA2, ovarian cancer HR=0.89, 95% CI 0.71-1.13, p=0.34, breast cancer HR=1.06, 95% CI 0.94-1.19, p=0.35). Null results were also obtained for associations with overall survival following ovarian cancer (HR=0.94, 95% CI 0.83-1.07, p=0.38), breast cancer (HR=0.96, 95% CI 0.87-1.06, p=0.38), and all other previously-reported associations.Conclusionsrs61764370 is not associated with risk of ovarian or breast cancer nor with clinical outcome for patients with these cancers. Therefore, genotyping this variant has no clinical utility related to the prediction or management of these cancers.
Published: 2016

14. 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

15. 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

16. 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

17. 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

18. 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

19. Prediction of breast cancer risk based on profiling with common genetic variants.

Author: Mavaddat, Nasim, Pharoah, Paul, Michailidou, Kyriaki, Tyrer, Jonathan, Brook, Mark, Bolla, Manjeet, Wang, Qin, Dennis, Joe, Dunning, Alison, Shah, Mitul, Luben, Robert, Brown, Judith, Bojesen, Stig, Nordestgaard, Børge, Nielsen, Sune, Flyger, Henrik, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Peto, Julian, Dos-Santos-Silva, Isabel, Dudbridge, Frank, Johnson, Nichola, Schmidt, Marjanka, Broeks, Annegien, Verhoef, Senno, Rutgers, Emiel, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Schoemaker, Minouk, Figueroa, Jonine, Chanock, Stephen, Brinton, Louise, Lissowska, Jolanta, Couch, Fergus, Olson, Janet, Vachon, Celine, Pankratz, Vernon, Lambrechts, Diether, Wildiers, Hans, Van Ongeval, Chantal, van Limbergen, Erik, Kristensen, Vessela, Grenaker Alnæs, Grethe, Nord, Silje, Borresen-Dale, Anne-Lise, Nevanlinna, Heli, Muranen, Taru, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Fasching, Peter, Haeberle, Lothar, Ekici, Arif, Beckmann, Matthias, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Trentham-Dietz, Amy, Newcomb, Polly, Titus, Linda, Egan, Kathleen, Hunter, David, Lindstrom, Sara, Tamimi, Rulla, Kraft, Peter, Rahman, Nazneen, Turnbull, Clare, Renwick, Anthony, Seal, Sheila, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Benitez, Javier, Pilar Zamora, M, Arias Perez, Jose, Menéndez, Primitiva, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Bogdanova, Natalia, Antonenkova, Natalia, Dörk, Thilo, Anton-Culver, Hoda, Neuhausen, Susan, Ziogas, Argyrios, Bernstein, Leslie, Devilee, Peter, Tollenaar, Robert, Seynaeve, Caroline, van Asperen, Christi, Cox, Angela, Cross, Simon, and Reed, Malcolm
Subjects: Adult, Aged, Biomarkers, Tumor, Breast Neoplasms, Europe, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Genetic Predisposition to Disease, Genotype, Humans, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Predictive Value of Tests, Receptors, Estrogen, Risk Assessment, Risk Factors
Abstract: BACKGROUND: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. METHODS: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. RESULTS: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. CONCLUSIONS: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report.
Published: 2015

20. 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

21. 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

22. 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

23. 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

24. Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia.

Author: Spurdle, Amanda B, Couch, Fergus J, Parsons, Michael T, McGuffog, Lesley, Barrowdale, Daniel, Bolla, Manjeet K, Wang, Qin, Healey, Sue, Schmutzler, Rita, Wappenschmidt, Barbara, Rhiem, Kerstin, Hahnen, Eric, Engel, Christoph, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Wang-Gohrke, Shan, Steinemann, Doris, Preisler-Adams, Sabine, Kast, Karin, Varon-Mateeva, Raymonda, Ellis, Steve, Frost, Debra, Platte, Radka, Perkins, Jo, Evans, D Gareth, Izatt, Louise, Eeles, Ros, Adlard, Julian, Davidson, Rosemarie, Cole, Trevor, Scuvera, Giulietta, Manoukian, Siranoush, Bonanni, Bernardo, Mariette, Frederique, Fortuzzi, Stefano, Viel, Alessandra, Pasini, Barbara, Papi, Laura, Varesco, Liliana, Balleine, Rosemary, Nathanson, Katherine L, Domchek, Susan M, Offitt, Kenneth, Jakubowska, Anna, Lindor, Noralane, Thomassen, Mads, Jensen, Uffe Birk, Rantala, Johanna, Borg, Åke, Andrulis, Irene L, Miron, Alexander, Hansen, Thomas VO, Caldes, Trinidad, Neuhausen, Susan L, Toland, Amanda E, Nevanlinna, Heli, Montagna, Marco, Garber, Judy, Godwin, Andrew K, Osorio, Ana, Factor, Rachel E, Terry, Mary B, Rebbeck, Timothy R, Karlan, Beth Y, Southey, Melissa, Rashid, Muhammad Usman, Tung, Nadine, Pharoah, Paul DP, Blows, Fiona M, Dunning, Alison M, Provenzano, Elena, Hall, Per, Czene, Kamila, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Verhoef, Senno, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Slamon, Dennis J, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, Aittomäki, Kristiina, Muranen, Taru A, Heikkilä, Päivi, Blomqvist, Carl, Figueroa, Jonine, Chanock, Stephen J, and Brinton, Louise
Subjects: ABCTB Investigators, EMBRACE Group, GENICA Network, HEBON Group, kConFab Investigators, Humans, Carcinoma, Breast Neoplasms, Receptor, erbB-2, Receptors, Estrogen, Receptors, Progesterone, Neoplasm Staging, Likelihood Functions, Age Factors, Mutation, Genes, BRCA1, Genes, BRCA2, Adult, Aged, Middle Aged, Female, Neoplasm Grading, Triple Negative Breast Neoplasms, Receptor, ErbB-2, Receptor, erbB-2, Receptors, Estrogen, Progesterone, Genes, BRCA1, BRCA2, ErbB-2, Prevention, Breast Cancer, Cancer, Genetics, 4.2 Evaluation of markers and technologies, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract: IntroductionThe distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling.MethodsSelection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach.ResultsER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)).ConclusionsThese results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.
Published: 2014

25. Refined histopathological predictors of BRCA1 and BRCA2mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Author: Spurdle, Amanda B, Couch, Fergus J, Parsons, Michael T, McGuffog, Lesley, Barrowdale, Daniel, Bolla, Manjeet K, Wang, Qin, Healey, Sue, Schmutzler, Rita Katharina, Wappenschmidt, Barbara, Rhiem, Kerstin, Hahnen, Eric, Engel, Christoph, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Wang-Gohrke, Shan, Steinemann, Doris, Preisler-Adams, Sabine, Kast, Karin, Varon-Mateeva, Raymonda, Ellis, Steve, Frost, Debra, Platte, Radka, Perkins, Jo, Evans, D Gareth, Izatt, Louise, Eeles, Ros, Adlard, Julian, Davidson, Rosemarie, Cole, Trevor, Scuvera, Giulietta, Manoukian, Siranoush, Bonanni, Bernardo, Mariette, Frederique, Fortuzzi, Stefano, Viel, Alessandra, Pasini, Barbara, Papi, Laura, Varesco, Liliana, Balleine, Rosemary, Nathanson, Katherine L, Domchek, Susan M, Offitt, Kenneth, Jakubowska, Anna, Lindor, Noralane, Thomassen, Mads, Jensen, Uffe Birk, Rantala, Johanna, Borg, Åke, Andrulis, Irene L, Miron, Alexander, Hansen, Thomas VO, Caldes, Trinidad, Neuhausen, Susan L, Toland, Amanda E, Nevanlinna, Heli, Montagna, Marco, Garber, Judy, Godwin, Andrew K, Osorio, Ana, Factor, Rachel E, Terry, Mary B, Rebbeck, Timothy R, Karlan, Beth Y, Southey, Melissa, Rashid, Muhammad Usman, Tung, Nadine, Pharoah, Paul DP, Blows, Fiona M, Dunning, Alison M, Provenzano, Elena, Hall, Per, Czene, Kamila, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Verhoef, Senno, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Slamon, Dennis J, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Chang-Claude, Jenny, Flesch-Janys, Dieter, Rudolph, Anja, Seibold, Petra, Aittomäki, Kristiina, Muranen, Taru A, Heikkilä, Päivi, Blomqvist, Carl, Figueroa, Jonine, Chanock, Stephen J, and Brinton, Louise
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer, Prevention, Genetics, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Adult, Age Factors, Aged, Breast Neoplasms, Carcinoma, Female, Genes, BRCA1, Genes, BRCA2, Humans, Likelihood Functions, Middle Aged, Mutation, Neoplasm Grading, Neoplasm Staging, Receptor, ErbB-2, Receptors, Estrogen, Receptors, Progesterone, Triple Negative Breast Neoplasms, ABCTB Investigators, EMBRACE Group, GENICA Network, HEBON Group, kConFab Investigators, Receptor, erbB-2, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach. ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)). These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management.
Published: 2014

26. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium.

Author: Milne, Roger, Burwinkel, Barbara, Michailidou, Kyriaki, Arias-Perez, Jose-Ignacio, Zamora, M, Menéndez-Rodríguez, Primitiva, Hardisson, David, Mendiola, Marta, González-Neira, Anna, Pita, Guillermo, Alonso, M, Dennis, Joe, Wang, Qin, Bolla, Manjeet, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Schoemaker, Minouk, Ko, Yon-Dschun, Brauch, Hiltrud, Hamann, Ute, Andrulis, Irene, Knight, Julia, Glendon, Gord, Tchatchou, Sandrine, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tajima, Kazuo, Li, Jingmei, Brand, Judith, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Lambrechts, Diether, Peuteman, Gilian, Christiaens, Marie-Rose, Smeets, Ann, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katazyna, Hartman, Mikael, Hui, Miao, Yen Lim, Wei, Wan Chan, Ching, Marme, Federick, Yang, Rongxi, Bugert, Peter, Lindblom, Annika, Margolin, Sara, García-Closas, Montserrat, Chanock, Stephen, Lissowska, Jolanta, Figueroa, Jonine, Bojesen, Stig, Nordestgaard, Børge, Flyger, Henrik, Hooning, Maartje, Kriege, Mieke, van den Ouweland, Ans, Koppert, Linetta, Fletcher, Olivia, Johnson, Nichola, dos-Santos-Silva, Isabel, Peto, Julian, Zheng, Wei, Deming-Halverson, Sandra, Shrubsole, Martha, Long, Jirong, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Cox, Angela, Cross, Simon, Reed, Malcolm, Schmidt, Marjanka, Broeks, Annegien, Cornelissen, Sten, Braaf, Linde, Kang, Daehee, Choi, Ji-Yeob, Park, Sue, Noh, Dong-Young, Simard, Jacques, Dumont, Martine, Goldberg, Mark, Labrèche, France, Fasching, Peter, Hein, Alexander, Ekici, Arif, Beckmann, Matthias, Radice, Paolo, and Peterlongo, Paolo
Subjects: A Kinase Anchor Proteins, Adult, Alleles, Ataxin-7, Breast Neoplasms, Case-Control Studies, Cytoskeletal Proteins, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Middle Aged, NIMA-Related Kinases, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Protein Serine-Threonine Kinases
Abstract: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04-1.10, P = 2.9 × 10(-6)], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03-1.07, P = 1.7 × 10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07-1.12, P = 5.1 × 10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05-1.10, P = 1.0 × 10(-8)); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04-1.07, P = 2.0 × 10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
Published: 2014

27. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

Author: Perry, John RB, Day, Felix, Elks, Cathy E, Sulem, Patrick, Thompson, Deborah J, Ferreira, Teresa, He, Chunyan, Chasman, Daniel I, Esko, Tõnu, Thorleifsson, Gudmar, Albrecht, Eva, Ang, Wei Q, Corre, Tanguy, Cousminer, Diana L, Feenstra, Bjarke, Franceschini, Nora, Ganna, Andrea, Johnson, Andrew D, Kjellqvist, Sanela, Lunetta, Kathryn L, McMahon, George, Nolte, Ilja M, Paternoster, Lavinia, Porcu, Eleonora, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Tšernikova, Natalia, Tikkanen, Emmi, Ulivi, Sheila, Wagner, Erin K, Amin, Najaf, Bierut, Laura J, Byrne, Enda M, Hottenga, Jouke-Jan, Koller, Daniel L, Mangino, Massimo, Pers, Tune H, Yerges-Armstrong, Laura M, Hua Zhao, Jing, Andrulis, Irene L, Anton-Culver, Hoda, Atsma, Femke, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Buring, Julie E, Chang-Claude, Jenny, Chanock, Stephen, Chen, Jinhui, Chenevix-Trench, Georgia, Collée, J Margriet, Couch, Fergus J, Couper, David, Coviello, Andrea D, Cox, Angela, Czene, Kamila, D’adamo, Adamo Pio, Davey Smith, George, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dieffenbach, Aida K, Dunning, Alison M, Eiriksdottir, Gudny, Eriksson, Johan G, Fasching, Peter A, Ferrucci, Luigi, Flesch-Janys, Dieter, Flyger, Henrik, Foroud, Tatiana, Franke, Lude, Garcia, Melissa E, García-Closas, Montserrat, Geller, Frank, de Geus, Eco EJ, Giles, Graham G, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Guénel, Pascal, Guo, Suiqun, Hall, Per, Hamann, Ute, Haring, Robin, Hartman, Catharina A, Heath, Andrew C, Hofman, Albert, Hooning, Maartje J, Hopper, John L, Hu, Frank B, Hunter, David J, Karasik, David, and Kiel, Douglas P
Subjects: Paediatrics, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Contraception/Reproduction, Pediatric, Biotechnology, Human Genome, Clinical Research, Adolescent, Age Factors, Alleles, Body Mass Index, Breast Neoplasms, Calcium-Binding Proteins, Cardiovascular Diseases, Child, Diabetes Mellitus, Type 2, Europe, Female, Genetic Loci, Genome-Wide Association Study, Genomic Imprinting, Humans, Hypothalamo-Hypophyseal System, Intercellular Signaling Peptides and Proteins, Male, Membrane Proteins, Menarche, Obesity, Ovary, Parents, Polymorphism, Single Nucleotide, Potassium Channels, Tandem Pore Domain, Proteins, Quantitative Trait Loci, Receptors, GABA-B, Receptors, Retinoic Acid, Ribonucleoproteins, Ubiquitin-Protein Ligases, Australian Ovarian Cancer Study, GENICA Network, kConFab, LifeLines Cohort Study, InterAct Consortium, Early Growth Genetics (EGG) Consortium, General Science & Technology
Abstract: Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P
Published: 2014

28. Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation.

Author: Ghoussaini, Maya, Edwards, Stacey L, Michailidou, Kyriaki, Nord, Silje, Cowper-Sal Lari, Richard, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M, Kaufmann, Susanne, Glubb, Dylan M, Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K, Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Thienpont, Bernard, Neven, Patrick, Wildiers, Hans, Broeks, Annegien, Van't Veer, Laura J, Th Rutgers, Emiel J, Couch, Fergus J, Olson, Janet E, Hallberg, Emily, Vachon, Celine, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, Dos-Santos-Silva, Isabel, Gibson, Lorna, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Hall, Per, Li, Jingmei, Liu, Jianjun, Humphreys, Keith, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K, Noh, Dong-Young, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Benitez, Javier, Zamora, M Pilar, Perez, Jose Ignacio Arias, Menéndez, Primitiva, Shu, Xiao-Ou, Lu, Wei, Gao, Yu-Tang, Cai, Qiuyin, 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, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, and Teo, Soo Hwang
Subjects: Australian Ovarian Cancer Management Group, Cell Line, Tumor, Chromosomes, Human, Pair 2, Chromatin, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Insulin-Like Growth Factor Binding Protein 5, RNA, Messenger, Polymorphism, Single Nucleotide, Female, Hepatocyte Nuclear Factor 3-alpha, Promoter Regions, Genetic, MCF-7 Cells, Cell Line, Tumor, Chromosomes, Human, Pair 2, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, RNA, Messenger
Abstract: GWAS have identified a breast cancer susceptibility locus on 2q35. Here we report the fine mapping of this locus using data from 101,943 subjects from 50 case-control studies. We genotype 276 SNPs using the 'iCOGS' genotyping array and impute genotypes for a further 1,284 using 1000 Genomes Project data. All but two, strongly correlated SNPs (rs4442975 G/T and rs6721996 G/A) are excluded as candidate causal variants at odds against >100:1. The best functional candidate, rs4442975, is associated with oestrogen receptor positive (ER+) disease with an odds ratio (OR) in Europeans of 0.85 (95% confidence interval=0.84-0.87; P=1.7 × 10(-43)) per t-allele. This SNP flanks a transcriptional enhancer that physically interacts with the promoter of IGFBP5 (encoding insulin-like growth factor-binding protein 5) and displays allele-specific gene expression, FOXA1 binding and chromatin looping. Evidence suggests that the g-allele confers increased breast cancer susceptibility through relative downregulation of IGFBP5, a gene with known roles in breast cell biology.
Published: 2014

29. Antioxidant supplementation and breast cancer prognosis in postmenopausal women undergoing chemotherapy and radiation therapy

Author: Jung, Audrey Y, Cai, Xinting, Thoene, Kathrin, Obi, Nadia, Jaskulski, Stefanie, Behrens, Sabine, Flesch-Janys, Dieter, and Chang-Claude, Jenny
Published: 2019
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30. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study.

Author: Johnson, Nichola, Dudbridge, Frank, Orr, Nick, Gibson, Lorna, Jones, Michael E, Schoemaker, Minouk J, Folkerd, Elizabeth J, Haynes, Ben P, Hopper, John L, Southey, Melissa C, Dite, Gillian S, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Atsma, Femke, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Renner, Stefan P, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Therese, Cordina, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger, Zamora, M Pilar, Arias Perez, Jose Ignacio, Benitez, Javier, Bernstein, Leslie, Anton-Culver, Hoda, Ziogas, Argyrios, Clarke Dur, Christina, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Dieffenbach, Aida Karina, Meindl, Alfons, Heil, Joerg, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Ko, Yon-Dschun, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Dörk, Thilo, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, Beesley, Jonathan, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Van den Berg, David, Tseng, Chiu-Chen, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Bonanni, Bernardo, Pensotti, Valeria, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Pankratz, Vernon S, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Haiman, Chris, Simard, Jacques, and Goldberg, Mark S
Subjects: GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Reproductive History, Risk Factors, Age Factors, Age of Onset, Premenopause, Menarche, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Cytochrome P-450 CYP3A, Genetic Association Studies, Human Genome, Aging, Clinical Research, Cancer, Genetics, Breast Cancer, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract: IntroductionWe have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years.MethodsWe further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics.ResultsWe confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29).ConclusionsTo our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.
Published: 2014

31. Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer.

Author: Purrington, Kristen, Slager, Susan, Eccles, Diana, Yannoukakos, Drakoulis, Fasching, Peter, Miron, Penelope, Carpenter, Jane, Chang-Claude, Jenny, Martin, Nicholas, Montgomery, Grant, Kristensen, Vessela, Goodfellow, Paul, Tapper, William, Rafiq, Sajjad, Gerty, Susan, Durcan, Lorraine, Konstantopoulou, Irene, Fostira, Florentia, Vratimos, Athanassios, Apostolou, Paraskevi, Konstanta, Irene, Kotoula, Vassiliki, Lakis, Sotiris, Dimopoulos, Meletios, Skarlos, Dimosthenis, Pectasides, Dimitrios, Fountzilas, George, Beckmann, Matthias, Hein, Alexander, Ruebner, Matthias, Ekici, Arif, Hartmann, Arndt, Schulz-Wendtland, Ruediger, Renner, Stefan, Janni, Wolfgang, Rack, Brigitte, Scholz, Christoph, Neugebauer, Julia, Andergassen, Ulrich, Lux, Michael, Haeberle, Lothar, Clarke, Christine, Pathmanathan, Nirmala, Rudolph, Anja, Flesch-Janys, Dieter, Nickels, Stefan, Olson, Janet, Ingle, James, Olswold, Curtis, Slettedahl, Seth, Eckel-Passow, Jeanette, Anderson, S, Visscher, Daniel, Cafourek, Victoria, Sicotte, Hugues, Prodduturi, Naresh, Weiderpass, Elisabete, Bernstein, Leslie, Ivanovich, Jennifer, Giles, Graham, Baglietto, Laura, Southey, Melissa, Kosma, Veli-Matti, Fischer, Hans-Peter, Reed, Malcom, Cross, Simon, Deming-Halverson, Sandra, Shrubsole, Martha, Cai, Qiuyin, Shu, Xiao-Ou, Daly, Mary, Weaver, Joellen, Ross, Eric, Klemp, Jennifer, Sharma, Priyanka, Torres, Diana, Rüdiger, Thomas, Wölfing, Heidrun, Ulmer, Hans-Ulrich, Försti, Asta, Khoury, Thaer, Kumar, Shicha, Pilarski, Robert, Shapiro, Charles, Greco, Dario, Heikkilä, Päivi, Aittomäki, Kristiina, Blomqvist, Carl, Irwanto, Astrid, Liu, Jianjun, Pankratz, Vernon, Wang, Xianshu, Severi, Gianluca, Mannermaa, Arto, Easton, Douglas, Hall, Per, Brauch, Hiltrud, Cox, Angela, Zheng, Wei, and Godwin, Andrew
Subjects: Adult, Aged, Aged, 80 and over, Case-Control Studies, Chromosomes, Human, Pair 19, Estrogen Receptor alpha, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Triple Negative Breast Neoplasms, Young Adult
Abstract: Triple-negative (TN) breast cancer is an aggressive subtype of breast cancer associated with a unique set of epidemiologic and genetic risk factors. We conducted a two-stage genome-wide association study of TN breast cancer (stage 1: 1529 TN cases, 3399 controls; stage 2: 2148 cases, 1309 controls) to identify loci that influence TN breast cancer risk. Variants in the 19p13.1 and PTHLH loci showed genome-wide significant associations (P < 5 × 10(-) (8)) in stage 1 and 2 combined. Results also suggested a substantial enrichment of significantly associated variants among the single nucleotide polymorphisms (SNPs) analyzed in stage 2. Variants from 25 of 74 known breast cancer susceptibility loci were also associated with risk of TN breast cancer (P < 0.05). Associations with TN breast cancer were confirmed for 10 loci (LGR6, MDM4, CASP8, 2q35, 2p24.1, TERT-rs10069690, ESR1, TOX3, 19p13.1, RALY), and we identified associations with TN breast cancer for 15 additional breast cancer loci (P < 0.05: PEX14, 2q24.1, 2q31.1, ADAM29, EBF1, TCF7L2, 11q13.1, 11q24.3, 12p13.1, PTHLH, NTN4, 12q24, BRCA2, RAD51L1-rs2588809, MKL1). Further, two SNPs independent of previously reported signals in ESR1 [rs12525163 odds ratio (OR) = 1.15, P = 4.9 × 10(-) (4)] and 19p13.1 (rs1864112 OR = 0.84, P = 1.8 × 10(-) (9)) were associated with TN breast cancer. A polygenic risk score (PRS) for TN breast cancer based on known breast cancer risk variants showed a 4-fold difference in risk between the highest and lowest PRS quintiles (OR = 4.03, 95% confidence interval 3.46-4.70, P = 4.8 × 10(-) (69)). This translates to an absolute risk for TN breast cancer ranging from 0.8% to 3.4%, suggesting that genetic variation may be used for TN breast cancer risk prediction.
Published: 2014

32. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.

Author: Milne, Roger, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan, Zamora, M, Arias-Perez, José, González-Neira, Anna, Pita, Guillermo, Alonso, M, Wang, Qin, Bolla, Manjeet, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene, Knight, Julia, Glendon, Gord, Mulligan, Anna, Bojesen, Stig, Nordestgaard, Børge, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje, Hollestelle, Antoinette, Collée, J, Jager, Agnes, Cox, Angela, Brock, Ian, Reed, Malcolm, Devilee, Peter, Tollenaar, Robert, Seynaeve, Caroline, Haiman, Christopher, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter, Häberle, Lothar, Ekici, Arif, Beckmann, Matthias, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Radice, Paolo, Peterlongo, Paolo, Peissel, Bernard, Mariani, Paolo, Giles, Graham, Severi, Gianluca, Baglietto, Laura, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, and Miller, Nicola
Subjects: Breast Neoplasms, Case-Control Studies, Epistasis, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide
Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
Published: 2014

33. Genetic predisposition to in situ and invasive lobular carcinoma of the breast.

Author: Sawyer, Elinor, Roylance, Rebecca, Petridis, Christos, Brook, Mark, Nowinski, Salpie, Papouli, Efterpi, Fletcher, Olivia, Pinder, Sarah, Hanby, Andrew, Kohut, Kelly, Gorman, Patricia, Caneppele, Michele, Peto, Julian, Dos Santos Silva, Isabel, Johnson, Nichola, Swann, Ruth, Dwek, Miriam, Perkins, Katherine-Anne, Gillett, Cheryl, Houlston, Richard, Ross, Gillian, De Ieso, Paolo, Southey, Melissa, Hopper, John, Provenzano, Elena, Apicella, Carmel, Wesseling, Jelle, Cornelissen, Sten, Keeman, Renske, Fasching, Peter, Jud, Sebastian, Ekici, Arif, Beckmann, Matthias, Kerin, Michael, Marme, Federick, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Therese, Laurent-Puig, Pierre, Kerbrat, Pierre, Bojesen, Stig, Nordestgaard, Børge, Nielsen, Sune, Flyger, Henrik, Milne, Roger, Perez, Jose, Menéndez, Primitiva, Benitez, Javier, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita, Lochmann, Magdalena, Brauch, Hiltrud, Fischer, Hans-Peter, Ko, Yon-Dschun, Nevanlinna, Heli, Muranen, Taru, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Chenevix-Trench, Georgia, Lambrechts, Diether, Weltens, Caroline, Van Limbergen, Erik, Hatse, Sigrid, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Bonanni, Bernardo, Volorio, Sara, Giles, Graham, Severi, Gianluca, Baglietto, Laura, McLean, Catriona, Haiman, Christopher, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Goldberg, Mark, Labrèche, France, Dumont, Martine, Kristensen, Vessela, and Winqvist, Robert
Subjects: Breast Neoplasms, Carcinoma in Situ, Carcinoma, Lobular, Case-Control Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Middle Aged, Polymorphism, Single Nucleotide
Abstract: Invasive lobular breast cancer (ILC) accounts for 10-15% of all invasive breast carcinomas. It is generally ER positive (ER+) and often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09-1.18), P = 6.0 × 10(-10); P-het for ILC vs IDC ER+ tumors = 1.8 × 10(-4)). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and 15 with LCIS at P
Published: 2014

34. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium

Author: Milne, Roger L, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan P, Zamora, M Pilar, Arias-Perez, José Ignacio, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Wang, Qin, Bolla, Manjeet K, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Anton-Culver, Hoda, Neuhausen, Susan L, Ziogas, Argyrios, Clarke, Christina A, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Chenevix-Trench, Georgia, Swerdlow, Anthony, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet E, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison M, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Collée, J Margriet, Jager, Agnes, Cox, Angela, Brock, Ian W, Reed, Malcolm WR, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia V, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter A, Häberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, and Peto, Julian
Subjects: Breast Cancer, Human Genome, Genetics, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Case-Control Studies, Epistasis, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, TNBCC, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
Published: 2014

35. Identification of New Genetic Susceptibility Loci for Breast Cancer Through Consideration of Gene‐Environment Interactions

Author: Schoeps, Anja, Rudolph, Anja, Seibold, Petra, Dunning, Alison M, Milne, Roger L, Bojesen, Stig E, Swerdlow, Anthony, Andrulis, Irene, Brenner, Hermann, Behrens, Sabine, Orr, Nicholas, Jones, Michael, Ashworth, Alan, Li, Jingmei, Cramp, Helen, Connley, Dan, Czene, Kamila, Darabi, Hatef, Chanock, Stephen J, Lissowska, Jolanta, Figueroa, Jonine D, Knight, Julia, Glendon, Gord, Mulligan, Anna M, Dumont, Martine, Severi, Gianluca, Baglietto, Laura, Olson, Janet, Vachon, Celine, Purrington, Kristen, Moisse, Matthieu, Neven, Patrick, Wildiers, Hans, Spurdle, Amanda, Kosma, Veli‐Matti, Kataja, Vesa, Hartikainen, Jaana M, Hamann, Ute, Ko, Yon‐Dschun, Dieffenbach, Aida K, Arndt, Volker, Stegmaier, Christa, Malats, Núria, Perez, José I Arias, Benítez, Javier, Flyger, Henrik, Nordestgaard, Børge G, Truong, Thérèse, Cordina‐Duverger, Emilie, Menegaux, Florence, dos Santos Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Häberle, Lothar, Beckmann, Matthias W, Ekici, Arif B, Braaf, Linde, Atsma, Femke, Broek, Alexandra J den, Makalic, Enes, Schmidt, Daniel F, Southey, Melissa C, Cox, Angela, Simard, Jacques, Giles, Graham G, Lambrechts, Diether, Mannermaa, Arto, Brauch, Hiltrud, Guénel, Pascal, Peto, Julian, Fasching, Peter A, Hopper, John, Flesch‐Janys, Dieter, Couch, Fergus, Chenevix‐Trench, Georgia, Pharoah, Paul DP, Garcia‐Closas, Montserrat, Schmidt, Marjanka K, Hall, Per, Easton, Douglas F, and Chang‐Claude, Jenny
Subjects: Biological Sciences, Genetics, Epidemiology, Health Services and Systems, Health Sciences, Genetic Testing, Human Genome, Prevention, Breast Cancer, Aging, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Body Height, Body Mass Index, Breast Neoplasms, Chromosomes, Human, Pair 21, Chromosomes, Human, Pair 6, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Menarche, Middle Aged, Parity, Polymorphism, Single Nucleotide, Postmenopause, White People, breast cancer risk, gene-environment interaction, polymorphisms, body mass index, case-control study, Public Health and Health Services
Abstract: Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 × 10(-07)), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m(2) (OR = 1.26, 95% CI 1.15-1.38) but not in women with a BMI of 30 kg/m(2) or higher (OR = 0.89, 95% CI 0.72-1.11, P for interaction = 3.2 × 10(-05)). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci.
Published: 2014

36. Fine-scale mapping of the FGFR2 breast cancer risk locus: putative functional variants differentially bind FOXA1 and E2F1.

Author: Meyer, Kerstin B, O'Reilly, Martin, Michailidou, Kyriaki, Carlebur, Saskia, Edwards, Stacey L, French, Juliet D, Prathalingham, Radhika, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, de Santiago, Ines, Hopper, John L, Tsimiklis, Helen, Apicella, Carmel, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Van 't Veer, Laura J, Hogervorst, Frans B, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Lux, Michael P, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, Dos Santos Silva, Isabel, Fletcher, Olivia, Johnson, Nichola, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Federick, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Zamora, M Pilar, Arias, Jose I, Benitez, Javier, Neuhausen, Susan, Anton-Culver, Hoda, Ziogas, Argyrios, Dur, Christina C, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Schmutzler, Rita K, Engel, Christoph, Ditsch, Nina, Brauch, Hiltrud, Brüning, Thomas, Ko, Yon-Dschun, GENICA Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Yatabe, Yasushi, Dörk, Thilo, Helbig, Sonja, Bogdanova, Natalia V, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O, Lambrechts, Diether, Thienpont, Bernard, Christiaens, Marie-Rose, Smeets, Ann, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, and Radice, Paolo
Subjects: GENICA Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Cell Line, Tumor, Humans, Breast Neoplasms, Case-Control Studies, Chromatin Immunoprecipitation, Chromosome Mapping, Gene Expression Regulation, Neoplastic, RNA Interference, Binding Sites, Protein Binding, Haplotypes, Alleles, Female, E2F1 Transcription Factor, Receptor, Fibroblast Growth Factor, Type 2, Hepatocyte Nuclear Factor 3-alpha, Promoter Regions, Genetic, Genetic Loci, Position-Specific Scoring Matrices, Genetic Association Studies, Asian People, White People, Black People, Cancer, Human Genome, Breast Cancer, Genetics, Prevention, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ERα to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.
Published: 2013

37. Associations between adjuvant radiotherapy and different causes of death in a German breast cancer cohort

Author: Obi, Nadia, Eulenburg, Christine, Seibold, Petra, Eilber, Ursula, Thöne, Kathrin, Behrens, Sabine, Chang-Claude, Jenny, and Flesch-Janys, Dieter
Published: 2018
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38. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author: Michailidou, Kyriaki, Hall, Per, Gonzalez-Neira, Anna, Ghoussaini, Maya, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Bojesen, Stig E, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Lee, Andrew, Turnbull, Clare, Rahman, Nazneen, Fletcher, Olivia, Peto, Julian, Gibson, Lorna, dos Santos Silva, Isabel, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Adank, Muriel, van der Luijt, Rob B, Hein, Rebecca, Dahmen, Norbert, Beckman, Lars, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Hopper, John L, Southey, Melissa C, Makalic, Enes, Schmidt, Daniel F, Uitterlinden, Andre G, Hofman, Albert, Hunter, David J, Chanock, Stephen J, Vincent, Daniel, Bacot, François, Tessier, Daniel C, Canisius, Sander, Wessels, Lodewyk FA, Haiman, Christopher A, Shah, Mitul, Luben, Robert, Brown, Judith, Luccarini, Craig, Schoof, Nils, Humphreys, Keith, Li, Jingmei, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Couch, Fergus J, Wang, Xianshu, Vachon, Celine, Stevens, Kristen N, Lambrechts, Diether, Moisse, Matthieu, Paridaens, Robert, Christiaens, Marie-Rose, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Johnson, Nichola, Aitken, Zoe, Aaltonen, Kirsimari, Heikkinen, Tuomas, Broeks, Annegien, Veer, Laura J Van't, van der Schoot, C Ellen, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Zamora, M Pilar, Perez, Jose Ignacio Arias, Pita, Guillermo, Alonso, M Rosario, Cox, Angela, Brock, Ian W, Cross, Simon S, Reed, Malcolm WR, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, and Henderson, Brian E
Subjects: Biological Sciences, Genetics, Human Genome, Prevention, Breast Cancer, Cancer, Breast Neoplasms, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Breast and Ovarian Cancer Susceptibility Collaboration, Hereditary Breast and Ovarian Cancer Research Group Netherlands, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.
Published: 2013

39. A genome-wide association study to identify genetic susceptibility loci that modify ductal and lobular postmenopausal breast cancer risk associated with menopausal hormone therapy use: a two-stage design with replication

Author: Hein, Rebecca, Flesch-Janys, Dieter, Dahmen, Norbert, Beckmann, Lars, Lindström, Sara, Schoof, Nils, Czene, Kamila, Mittelstraß, Kirstin, Illig, Thomas, Seibold, Petra, Behrens, Sabine, Humphreys, Keith, Li, Jingmei, Liu, Jianjun, Olson, Janet E, Wang, Xianshu, Hankinson, Susan E, Truong, Thérèse, Menegaux, Florence, dos Santos Silva, Isabel, Johnson, Nichola, The GENICA Network, Chen, Shou-Tung, Yu, Jyh-Cherng, Ziogas, Argyrios, Kataja, Vesa, Kosma, Veli-Matti, Mannermaa, Arto, Anton-Culver, Hoda, Shen, Chen-Yang, Brauch, Hiltrud, Peto, Julian, Guénel, Pascal, Kraft, Peter, Couch, Fergus J, Easton, Douglas F, Hall, Per, and Chang-Claude, Jenny
Subjects: Cancer, Aging, Prevention, Breast Cancer, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Carcinoma, Ductal, Breast, Carcinoma, Lobular, Case-Control Studies, Chromosomes, Human, Estrogen Replacement Therapy, Estrogens, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Postmenopause, Progestins, Risk Factors, Sequence Analysis, DNA, Postmenopausal breast cancer risk, Menopausal hormone therapy, Polymorphisms, Gene-environment interaction, Genome-wide association study, Case-only study, GENICA Network, Clinical Sciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: Menopausal hormone therapy (MHT) is associated with an elevated risk of breast cancer in postmenopausal women. To identify genetic loci that modify breast cancer risk related to MHT use in postmenopausal women, we conducted a two-stage genome-wide association study (GWAS) with replication. In stage I, we performed a case-only GWAS in 731 invasive breast cancer cases from the German case-control study Mammary Carcinoma Risk Factor Investigation (MARIE). The 1,200 single nucleotide polymorphisms (SNPs) showing the lowest P values for interaction with current MHT use (within 6 months prior to breast cancer diagnosis), were carried forward to stage II, involving pooled case-control analyses including additional MARIE subjects (1,375 cases, 1,974 controls) as well as 795 cases and 764 controls of a Swedish case-control study. A joint P value was calculated for a combined analysis of stages I and II. Replication of the most significant interaction of the combined stage I and II was performed using 5,795 cases and 5,390 controls from nine studies of the Breast Cancer Association Consortium (BCAC). The combined stage I and II yielded five SNPs on chromosomes 2, 7, and 18 with joint P values
Published: 2013

40. Evidence of Geneâ��Environment Interactions between Common Breast Cancer Susceptibility Loci and Established Environmental Risk Factors

Author: Nickels, Stefan, Truong, ThÃ©rÃ¨se, Hein, Rebecca, Stevens, Kristen, Buck, Katharina, Behrens, Sabine, Eilber, Ursula, Schmidt, Martina, HÃ¤berle, Lothar, Vrieling, Alina, Gaudet, Mia, Figueroa, Jonine, Schoof, Nils, Spurdle, Amanda B, Rudolph, Anja, Fasching, Peter A, Hopper, John L, Makalic, Enes, Schmidt, Daniel F, Southey, Melissa C, Beckmann, Matthias W, Ekici, Arif B, Fletcher, Olivia, Gibson, Lorna, dos Santos Silva, Isabel, Peto, Julian, Humphreys, Manjeet K, Wang, Jean, Cordina-Duverger, Emilie, Menegaux, Florence, Nordestgaard, BÃ¸rge G, Bojesen, Stig E, Lanng, Charlotte, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Clarke, Christina A, Brenner, Hermann, MÃ¼ller, Heiko, Arndt, Volker, Stegmaier, Christa, Brauch, Hiltrud, BrÃ¼ning, Thomas, Harth, Volker, GENICA Network, The, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, kConFab, The, Group, AOCS Management, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Paridaens, Robert, Flesch-Janys, Dieter, Obi, Nadia, Wang-Gohrke, Shan, Couch, Fergus J, Olson, Janet E, Vachon, Celine M, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Offit, Kenneth, John, Esther M, Miron, Alexander, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Chanock, Stephen J, Lissowska, Jolanta, Liu, Jianjun, Cox, Angela, Cramp, Helen, Connley, Dan, Balasubramanian, Sabapathy, Dunning, Alison M, Shah, Mitul, Trentham-Dietz, Amy, Newcomb, Polly, Titus, Linda, Egan, Kathleen, Cahoon, Elizabeth K, Rajaraman, Preetha, Sigurdson, Alice J, Doody, Michele M, GuÃ©nel, Pascal, Pharoah, Paul D. P, Schmidt, Marjanka K, Hall, Per, Easton, Doug F, Garcia-Closas, Montserrat, Milne, Roger L, Chang-Claude, Jenny, and Horwitz, Marshall S
Subjects: Genome-Wide Association, Mammographic Density, 14q24.1 Rad51l1, Hormone-Therapy, Pooled Analysis, Tumor Subtypes, Variants, Consortium, Fgfr2, Women
Published: 2013

41. A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

Author: Siddiq, Afshan, Couch, Fergus J, Chen, Gary K, Lindström, Sara, Eccles, Diana, Millikan, Robert C, Michailidou, Kyriaki, Stram, Daniel O, Beckmann, Lars, Rhie, Suhn Kyong, Ambrosone, Christine B, Aittomäki, Kristiina, Amiano, Pilar, Apicella, Carmel, Investigators, Australian Breast Cancer Tissue Bank, Baglietto, Laura, Bandera, Elisa V, Beckmann, Matthias W, Berg, Christine D, Bernstein, Leslie, Blomqvist, Carl, Brauch, Hiltrud, Brinton, Louise, Bui, Quang M, Buring, Julie E, Buys, Saundra S, Campa, Daniele, Carpenter, Jane E, Chasman, Daniel I, Chang-Claude, Jenny, Chen, Constance, Clavel-Chapelon, Françoise, Cox, Angela, Cross, Simon S, Czene, Kamila, Deming, Sandra L, Diasio, Robert B, Diver, W Ryan, Dunning, Alison M, Durcan, Lorraine, Ekici, Arif B, Fasching, Peter A, Study, Familial Breast Cancer, Feigelson, Heather Spencer, Fejerman, Laura, Figueroa, Jonine D, Fletcher, Olivia, Flesch-Janys, Dieter, Gaudet, Mia M, Consortium, The GENICA, Gerty, Susan M, Rodriguez-Gil, Jorge L, Giles, Graham G, van Gils, Carla H, Godwin, Andrew K, Graham, Nikki, Greco, Dario, Hall, Per, Hankinson, Susan E, Hartmann, Arndt, Hein, Rebecca, Heinz, Judith, Hoover, Robert N, Hopper, John L, Hu, Jennifer J, Huntsman, Scott, Ingles, Sue A, Irwanto, Astrid, Isaacs, Claudine, Jacobs, Kevin B, John, Esther M, Justenhoven, Christina, Kaaks, Rudolf, Kolonel, Laurence N, Coetzee, Gerhard A, Lathrop, Mark, Le Marchand, Loic, Lee, Adam M, Lee, I-Min, Lesnick, Timothy, Lichtner, Peter, Liu, Jianjun, Lund, Eiliv, Makalic, Enes, Martin, Nicholas G, McLean, Catriona A, Meijers-Heijboer, Hanne, Meindl, Alfons, Miron, Penelope, Monroe, Kristine R, Montgomery, Grant W, Müller-Myhsok, Bertram, Nickels, Stefan, Nyante, Sarah J, Olswold, Curtis, Overvad, Kim, Palli, Domenico, Park, Daniel J, Palmer, Julie R, and Pathak, Harsh
Subjects: Biological Sciences, Genetics, Clinical Research, Aging, Human Genome, Breast Cancer, Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Australian Breast Cancer Tissue Bank Investigators, Familial Breast Cancer Study, GENICA Consortium, Medical and Health Sciences, Genetics & Heredity
Abstract: Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of ER-negative disease to date, comprising 4754 ER-negative cases and 31 663 controls from three GWAS: NCI Breast and Prostate Cancer Cohort Consortium (BPC3) (2188 ER-negative cases; 25 519 controls of European ancestry), Triple Negative Breast Cancer Consortium (TNBCC) (1562 triple negative cases; 3399 controls of European ancestry) and African American Breast Cancer Consortium (AABC) (1004 ER-negative cases; 2745 controls). We performed in silico replication of 86 SNPs at P ≤ 1 × 10(-5) in an additional 11 209 breast cancer cases (946 with ER-negative disease) and 16 057 controls of Japanese, Latino and European ancestry. We identified two novel loci for breast cancer at 20q11 and 6q14. SNP rs2284378 at 20q11 was associated with ER-negative breast cancer (combined two-stage OR = 1.16; P = 1.1 × 10(-8)) but showed a weaker association with overall breast cancer (OR = 1.08, P = 1.3 × 10(-6)) based on 17 869 cases and 43 745 controls and no association with ER-positive disease (OR = 1.01, P = 0.67) based on 9965 cases and 22 902 controls. Similarly, rs17530068 at 6q14 was associated with breast cancer (OR = 1.12; P = 1.1 × 10(-9)), and with both ER-positive (OR = 1.09; P = 1.5 × 10(-5)) and ER-negative (OR = 1.16, P = 2.5 × 10(-7)) disease. We also confirmed three known loci associated with ER-negative (19p13) and both ER-negative and ER-positive breast cancer (6q25 and 12p11). Our results highlight the value of large-scale collaborative studies to identify novel breast cancer risk loci.
Published: 2012

42. 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Warren, Helen, Dudbridge, Frank, Fletcher, Olivia, Orr, Nick, Johnson, Nichola, Hopper, John L, Apicella, Carmel, Southey, Melissa C, Mahmoodi, Maryam, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Braaf, Linda M, Muir, Kenneth R, Lophatananon, Artitaya, Chaiwerawattana, Arkom, Wiangnon, Surapon, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Schulz-Wendtland, Ruediger, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Mulot, Claire, Bojesen, Stig E, Nielsen, Sune F, Flyger, Henrik, Nordestgaard, Børge G, Milne, Roger L, Benítez, Javier, Arias-Pérez, José-Ignacio, Zamora, M Pilar, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Dur, Christina Clarke, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Langheinz, Anne, Meindl, Alfons, Golatta, Michael, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Brüning, Thomas, Network, for The GENICA, Chang-Claude, Jenny, Wang-Gohrke, Shan, Eilber, Ursula, Dörk, Thilo, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia, Antonenkova, Natalia, Rogov, Yuriy, Bermisheva, Marina, Prokofyeva, Darya, Zinnatullina, Guzel, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Hartikainen, Jaana M, Kataja, Vesa, Chenevix-Trench, Georgia, Beesley, Jonathan, Chen, Xiaoqing, Investigators, for kConFab, Group, Australian Ovarian Cancer Study, Lambrechts, Diether, Smeets, Ann, Paridaens, Robert, Weltens, Caroline, Flesch-Janys, Dieter, Buck, Katharina, Behrens, Sabine, Peterlongo, Paolo, Bernard, Loris, Manoukian, Siranoush, Radice, Paolo, Couch, Fergus J, Vachon, Celine, Wang, Xianshu, and Olson, Janet
Subjects: Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Genetics, Human Genome, Aging, Breast Cancer, Clinical Research, Cancer, 2.1 Biological and endogenous factors, Aetiology, Aged, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 9, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Estrogen, Receptors, Progesterone, GENICA Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundOur recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686).MethodsTo further investigate the rs865686-breast cancer association, we conducted a replication study within the Breast Cancer Association Consortium, which comprises 37 case-control studies (48,394 cases, 50,836 controls).ResultsThis replication study provides additional strong evidence of an inverse association between rs865686 and breast cancer risk [study-adjusted per G-allele OR, 0.90; 95% confidence interval (CI), 0.88; 0.91, P = 2.01 × 10(-29)] among women of European ancestry. There were ethnic differences in the estimated minor (G)-allele frequency among controls [0.09, 0.30, and 0.38 among, respectively, Asians, Eastern Europeans, and other Europeans; P for heterogeneity (P(het)) = 1.3 × 10(-143)], but no evidence of ethnic differences in per allele OR (P(het) = 0.43). rs865686 was associated with estrogen receptor-positive (ER(+)) disease (per G-allele OR, 0.89; 95% CI, 0.86-0.91; P = 3.13 × 10(-22)) but less strongly, if at all, with ER-negative (ER(-)) disease (OR, 0.98; 95% CI, 0.94-1.02; P = 0.26; P(het) = 1.16 × 10(-6)), with no evidence of independent heterogeneity by progesterone receptor or HER2 status. The strength of the breast cancer association decreased with increasing age at diagnosis, with case-only analysis showing a trend in the number of copies of the G allele with increasing age at diagnosis (P for linear trend = 0.0095), but only among women with ER(+) tumors.ConclusionsThis study is the first to show that rs865686 is a susceptibility marker for ER(+) breast cancer.ImpactThe findings further support the view that genetic susceptibility varies according to tumor subtype.
Published: 2012

43. Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)

Author: Hein, Rebecca, Maranian, Melanie, Hopper, John L, Kapuscinski, Miroslaw K, Southey, Melissa C, Park, Daniel J, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B. L, Bueno-de-Mesquit, H. Bas, Muir, Kenneth R, Lophatananon, Artitaya, Rattanamongkongul, Suthee, Puttawibul, Puttisak, Fasching, Peter A, Hein, Alexander, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Marmee, Frederick, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, GuÃ©nel, Pascal, Cordina-Duverger, Emilie, Menegaux, Florence, Truong, ThÃ©rÃ¨se, Bojesen, Stig E, Nordestgaard, BÃ¸rge G, Flyger, Henrik, Milne, Roger L, Perez, Jose Ignacio Arias, Zamora, M. Pilar, BenÃtez, Javier, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Clarke, Christina A, Brenner, Hermann, MÃ¼ller, Heiko, Arndt, Volker, Stegmaier, Christa, Rahman, Nazneen, Seal, Sheila, Turnbull, Clare, Renwick, Anthony, Meindl, Alfons, Schott, Sarah, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Ko, Yon-Dschun, Wang-Gohrke, Shan, Dark, Thilo, Scharmann, Peter, Karstens, Johann H, Hillemanns, Peter, Nevanlinna, Heli, Heikkinen, Tuomas, AittomÃ¤ki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia V, Zalutsky, Iosif V, Antonenkova, Natalia N, Bermisheva, Marina, Prokovieva, Darya, Farahtdinova, Albina, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Chen, Xiaoqing, Beesley, Jonathan, Investigators, kConFab, Lambrechts, Diether, Zhao, Hui, Neven, Patrick, Wildiers, Hans, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Barile, Monica, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, and Giles, Graham G
Subjects: susceptibility locus, chinese, women
Published: 2012

44. Genome-wide association analysis identifies three new breast cancer susceptibility loci

Author: Ghoussaini, Maya, Fletcher, Olivia, Michailidou, Kyriaki, Turnbull, Clare, Schmidt, Marjanka K, Dicks, Ed, Dennis, Joe, Wang, Qin, Humphreys, Manjeet K, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Maranian, Melanie, Ahmed, Shahana, Driver, Kristy, Johnson, Nichola, Orr, Nicholas, dos Santos Silva, Isabel, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Uitterlinden, Andre G, Rivadeneira, Fernando, Hall, Per, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Nevanlinna, Heli, Aittomäki, Kristiina, Blomqvist, Carl, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Chang-Claude, Jenny, Hein, Rebecca, Nickels, Stefan, Flesch-Janys, Dieter, Tsimiklis, Helen, Makalic, Enes, Schmidt, Daniel, Bui, Minh, Hopper, John L, Apicella, Carmel, Park, Daniel J, Southey, Melissa, Hunter, David J, Chanock, Stephen J, Broeks, Annegien, Verhoef, Senno, Hogervorst, Frans BL, Fasching, Peter A, Lux, Michael P, Beckmann, Matthias W, Ekici, Arif B, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Cordina-Duverger, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Milne, Roger L, Alonso, M Rosario, González-Neira, Anna, Benítez, Javier, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Dur, Christina Clarke, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Justenhoven, Christina, Brauch, Hiltrud, Brüning, Thomas, Wang-Gohrke, Shan, Eilber, Ursula, Dörk, Thilo, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Bogdanova, Natalia V, Antonenkova, Natalia N, Rogov, Yuri I, Karstens, Johann H, Bermisheva, Marina, Prokofieva, Darya, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, and Mannermaa, Arto
Subjects: Biological Sciences, Genetics, Estrogen, Human Genome, Prevention, Cancer, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Chromosomes, Human, Pair 12, Chromosomes, Human, Pair 21, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, Principal Component Analysis, White People, Netherlands Collaborative Group on Hereditary Breast and Ovarian Cancer, Familial Breast Cancer Study, Gene Environment Interaction of Breast Cancer in Germany (GENICA) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ∼70,000 cases and ∼68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 × 10(-35)), 12q24 (rs1292011; P = 4.3 × 10(-19)) and 21q21 (rs2823093; P = 1.1 × 10(-12)). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth.
Published: 2012

45. 7q21-rs6964587 and breast cancer risk: an extended case–control study by the Breast Cancer Association Consortium

Author: Milne, Roger L, Lorenzo-Bermejo, Justo, Burwinkel, Barbara, Malats, Núria, Arias, Jose Ignacio, Zamora, M Pilar, Benítez, Javier, Humphreys, Manjeet K, García-Closas, Montserrat, Chanock, Stephen J, Lissowska, Jolanta, Sherman, Mark E, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Anton-Culver, Hoda, Ziogas, Argyrios, Devilee, Peter, van Asperen, Christie J, Tollenaar, Rob AEM, Seynaeve, Caroline, Hall, Per, Czene, Kamila, Liu, Jianjun, Irwanto, Astrid K, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Nordestgaard, Børge G, Bojesen, Stig E, Flyger, Henrik, Margolin, Sara, Lindblom, Annika, Fasching, Peter A, Schulz-Wendtland, Ruediger, Ekici, Arif B, Beckmann, Matthias W, Wang-Gohrke, Shan, Shen, Chen-Yang, Yu, Jyh-Cherng, Hsu, Huan-Ming, Wu, Pei-Ei, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, English, Dallas R, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Beesley, Jonathan, Chen, Xiaoqing, Investigators, kConFab, Group, AOCS, Fletcher, Olivia, Gibson, Lorna, dos Santos Silva, Isabel, Peto, Julian, Frank, Bernd, Heil, Joerg, Meindl, Alfons, Chang-Claude, Jenny, Hein, Rebecca, Vrieling, Alina, Flesch-Janys, Dieter, Southey, Melissa C, Smith, Letitia, Apicella, Carmel, Hopper, John L, Dunning, Alison M, Pooley, Karen A, Pharoah, Paul DP, Hamann, Ute, Pesch, Beate, Ko, Yon-Dschun, Network, The GENICA, Easton, Douglas F, and Chenevix-Trench, Georgia
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, A Kinase Anchor Proteins, Alleles, Asian People, Breast Neoplasms, Case-Control Studies, Chromosomes, Human, Pair 7, Cytoskeletal Proteins, Female, Genes, Recessive, Genetic Predisposition to Disease, Humans, Logistic Models, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People, AOCS Group, GENICA Network, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract: BackgroundUsing the Breast Cancer Association Consortium, the authors previously reported that the single nucleotide polymorphism 7q21-rs6964587 (AKAP9-M463I) is associated with breast cancer risk. The authors have now assessed this association more comprehensively using 16 independent case-control studies.MethodsThe authors genotyped 14,843 invasive case patients and 19,852 control subjects with white European ancestry and 2595 invasive case patients and 2192 control subjects with Asian ancestry. ORs were estimated by logistic regression, adjusted for study. Heterogeneity in ORs was assessed by fitting interaction terms or by subclassifying case patients and applying polytomous logistic regression.ResultsFor white European women, the minor T allele of 7q21-rs6964587 was associated with breast cancer risk under a recessive model (OR 1.07, 95% CI 1.00 to 1.13, p = 0.04). Results were inconclusive for Asian women. From a combined analysis of 24 154 case patients and 33,376 control subjects of white European ancestry from the present and previous series, the best-fitting model was recessive, with an estimated OR of 1.08 (95% CI 1.03 to 1.13, p = 0.001). The OR was greater at younger ages (p trend = 0.01).ConclusionThis may be the first common susceptibility allele for breast cancer to be identified with a recessive mode of inheritance.
Published: 2011

46. Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.

Author: Yang, Xiaohong R, Chang-Claude, Jenny, Goode, Ellen L, Couch, Fergus J, Nevanlinna, Heli, Milne, Roger L, Gaudet, Mia, Schmidt, Marjanka K, Broeks, Annegien, Cox, Angela, Fasching, Peter A, Hein, Rebecca, Spurdle, Amanda B, Blows, Fiona, Driver, Kristy, Flesch-Janys, Dieter, Heinz, Judith, Sinn, Peter, Vrieling, Alina, Heikkinen, Tuomas, Aittomäki, Kristiina, Heikkilä, Päivi, Blomqvist, Carl, Lissowska, Jolanta, Peplonska, Beata, Chanock, Stephen, Figueroa, Jonine, Brinton, Louise, Hall, Per, Czene, Kamila, Humphreys, Keith, Darabi, Hatef, Liu, Jianjun, Van 't Veer, Laura J, van Leeuwen, Flora E, Andrulis, Irene L, Glendon, Gord, Knight, Julia A, Mulligan, Anna Marie, O'Malley, Frances P, Weerasooriya, Nayana, John, Esther M, Beckmann, Matthias W, Hartmann, Arndt, Weihbrecht, Sebastian B, Wachter, David L, Jud, Sebastian M, Loehberg, Christian R, Baglietto, Laura, English, Dallas R, Giles, Graham G, McLean, Catriona A, Severi, Gianluca, Lambrechts, Diether, Vandorpe, Thijs, Weltens, Caroline, Paridaens, Robert, Smeets, Ann, Neven, Patrick, Wildiers, Hans, Wang, Xianshu, Olson, Janet E, Cafourek, Victoria, Fredericksen, Zachary, Kosel, Matthew, Vachon, Celine, Cramp, Helen E, Connley, Daniel, Cross, Simon S, Balasubramanian, Sabapathy P, Reed, Malcolm WR, Dörk, Thilo, Bremer, Michael, Meyer, Andreas, Karstens, Johann H, Ay, Aysun, Park-Simon, Tjoung-Won, Hillemanns, Peter, Arias Pérez, Jose Ignacio, Menéndez Rodríguez, Primitiva, Zamora, Pilar, Benítez, Javier, Ko, Yon-Dschun, Fischer, Hans-Peter, Hamann, Ute, Pesch, Beate, Brüning, Thomas, Justenhoven, Christina, Brauch, Hiltrud, Eccles, Diana M, Tapper, William J, Gerty, Sue M, Sawyer, Elinor J, Tomlinson, Ian P, Jones, Angela, Kerin, Michael, Miller, Nicola, McInerney, Niall, Anton-Culver, Hoda, and Ziogas, Argyrios
Subjects: Humans, Breast Neoplasms, Obesity, Receptor, erbB-2, Receptors, Estrogen, Receptors, Progesterone, Body Mass Index, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Age Factors, Parity, Parturition, Menarche, Female, Keratin-5, ErbB Receptors, Biomarkers, Tumor, Receptor, ErbB-2, Prevention, Cancer, Aging, Breast Cancer, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: BackgroundPrevious studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors.MethodsWe pooled tumor marker and epidemiological risk factor data from 35,568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided.ResultsIn case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR(-) than PR(+) tumors (P = .001). Nulliparity (P = 3 × 10(-6)) and increasing age at first birth (P = 2 × 10(-9)) were less frequent in ER(-) than in ER(+) tumors. Obesity (body mass index [BMI] ≥ 30 kg/m(2)) in younger women (≤50 years) was more frequent in ER(-)/PR(-) than in ER(+)/PR(+) tumors (P = 1 × 10(-7)), whereas obesity in older women (>50 years) was less frequent in PR(-) than in PR(+) tumors (P = 6 × 10(-4)). The triple-negative (ER(-)/PR(-)/HER2(-)) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6(+) and/or epidermal growth factor receptor [EGFR](+)) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER(+) or PR(+) tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P = .61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P = .34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P = .09) or CBP tumors.ConclusionsThis study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology.
Published: 2011

47. Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the Breast Cancer Association Consortium: a combined case-control study

Author: Milne, Roger L, Gaudet, Mia M, Spurdle, Amanda B, Fasching, Peter A, Couch, Fergus J, Benítez, Javier, Arias Pérez, José Ignacio, Zamora, M Pilar, Malats, Núria, dos Santos Silva, Isabel, Gibson, Lorna J, Fletcher, Olivia, Johnson, Nichola, Anton-Culver, Hoda, Ziogas, Argyrios, Figueroa, Jonine, Brinton, Louise, Sherman, Mark E, Lissowska, Jolanta, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Sigurdson, Alice J, Linet, Martha S, Schonfeld, Sara J, Freedman, D Michal, Mannermaa, Arto, Kosma, Veli-Matti, Kataja, Vesa, Auvinen, Päivi, Andrulis, Irene L, Glendon, Gord, Knight, Julia A, Weerasooriya, Nayana, Cox, Angela, Reed, Malcolm WR, Cross, Simon S, Dunning, Alison M, Ahmed, Shahana, Shah, Mitul, Brauch, Hiltrud, Ko, Yon-Dschun, Brüning, Thomas, hiltrud.brauch@ikp-stuttgart.de, Lambrechts, Diether, Reumers, Joke, Smeets, Ann, Wang-Gohrke, Shan, Hall, Per, Czene, Kamila, Liu, Jianjun, Irwanto, Astrid K, Chenevix-Trench, Georgia, Holland, Helene, Georgia.Trench@qimr.edu.au, Giles, Graham G, Baglietto, Laura, Severi, Gianluca, Bojensen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, John, Esther M, West, Dee W, Whittemore, Alice S, Vachon, Celine, Olson, Janet E, Fredericksen, Zachary, Kosel, Matthew, Hein, Rebecca, Vrieling, Alina, Flesch-Janys, Dieter, Heinz, Judith, Beckmann, Matthias W, Heusinger, Katharina, Ekici, Arif B, Haeberle, Lothar, Humphreys, Manjeet K, Morrison, Jonathan, Easton, Doug F, Pharoah, Paul D, García-Closas, Montserrat, Goode, Ellen L, and Chang-Claude, Jenny
Abstract: Abstract Introduction Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium. Methods We evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects. Results These analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar. Conclusions The relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these established genetic and other risk factors in risk prediction models appears justified.
Published: 2010

48. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P., primary, Beesley, Jonathan, primary, Amin Al Olama, Ali, primary, Michailidou, Kyriaki, primary, Tyrer, Jonathan, primary, Kote-Jarai, ZSofia, primary, Lawrenson, Kate, primary, Lindstrom, Sara, primary, Ramus, Susan J., primary, Thompson, Deborah J., primary, Kibel, Adam S., primary, Dansonka-Mieszkowska, Agnieszka, primary, Michael, Agnieszka, primary, Dieffenbach, Aida K., primary, Gentry-Maharaj, Aleksandra, primary, Whittemore, Alice S., primary, Wolk, Alicja, primary, Monteiro, Alvaro, primary, Peixoto, Ana, primary, Kierzek, Andrzej, primary, Cox, Angela, primary, Rudolph, Anja, primary, Gonzalez-Neira, Anna, primary, Wu, Anna H., primary, Lindblom, Annika, primary, Swerdlow, Anthony, primary, Ziogas, Argyrios, primary, Ekici, Arif B., primary, Burwinkel, Barbara, primary, Karlan, Beth Y., primary, Nordestgaard, Børge G., primary, Blomqvist, Carl, primary, Phelan, Catherine, primary, McLean, Catriona, primary, Pearce, Celeste Leigh, primary, Vachon, Celine, primary, Cybulski, Cezary, primary, Slavov, Chavdar, primary, Stegmaier, Christa, primary, Maier, Christiane, primary, Ambrosone, Christine B., primary, Høgdall, Claus K., primary, Teerlink, Craig C., primary, Kang, Daehee, primary, Tessier, Daniel C., primary, Schaid, Daniel J., primary, Stram, Daniel O., primary, Cramer, Daniel W., primary, Neal, David E., primary, Eccles, Diana, primary, Flesch-Janys, Dieter, primary, Edwards, Digna R. Velez, primary, Wokozorczyk, Dominika, primary, Levine, Douglas A., primary, Yannoukakos, Drakoulis, primary, Sawyer, Elinor J., primary, Bandera, Elisa V., primary, Poole, Elizabeth M., primary, Goode, Ellen L., primary, Khusnutdinova, Elza, primary, Høgdall, Estrid, primary, Song, Fengju, primary, Bruinsma, Fiona, primary, Heitz, Florian, primary, Modugno, Francesmary, primary, Hamdy, Freddie C., primary, Wiklund, Fredrik, primary, Giles, Graham G., primary, Olsson, Håkan, primary, Wildiers, Hans, primary, Ulmer, Hans-Ulrich, primary, Pandha, Hardev, primary, Risch, Harvey A., primary, Darabi, Hatef, primary, Salvesen, Helga B., primary, Nevanlinna, Heli, primary, Gronberg, Henrik, primary, Brenner, Hermann, primary, Brauch, Hiltrud, primary, Anton-Culver, Hoda, primary, Song, Honglin, primary, Lim, Hui-Yi, primary, McNeish, Iain, primary, Campbell, Ian, primary, Vergote, Ignace, primary, Gronwald, Jacek, primary, Lubiński, Jan, primary, Stanford, Janet L., primary, Benítez, Javier, primary, Doherty, Jennifer A., primary, Permuth, Jennifer B., primary, Chang-Claude, Jenny, primary, Donovan, Jenny L., primary, Dennis, Joe, primary, Schildkraut, Joellen M., primary, Schleutker, Johanna, primary, Hopper, John L., primary, Kupryjanczyk, Jolanta, primary, Park, Jong Y., primary, Figueroa, Jonine, primary, Clements, Judith A., primary, Knight, Julia A., primary, Peto, Julian, primary, Cunningham, Julie M., primary, Pow-Sang, Julio, primary, Batra, Jyotsna, primary, Czene, Kamila, primary, Lu, Karen H., primary, Herkommer, Kathleen, primary, Khaw, Kay-Tee, primary, Matsuo, Keitaro, primary, Muir, Kenneth, primary, Offitt, Kenneth, primary, Chen, Kexin, primary, Moysich, Kirsten B., primary, Aittomäki, Kristiina, primary, Odunsi, Kunle, primary, Kiemeney, Lambertus A., primary, Massuger, Leon F.A.G., primary, Fitzgerald, Liesel M., primary, Cook, Linda S., primary, Cannon-Albright, Lisa, primary, Hooning, Maartje J., primary, Pike, Malcolm C., primary, Bolla, Manjeet K., primary, Luedeke, Manuel, primary, Teixeira, Manuel R., primary, Goodman, Marc T., primary, Schmidt, Marjanka K., primary, Riggan, Marjorie, primary, Aly, Markus, primary, Rossing, Mary Anne, primary, Beckmann, Matthias W., primary, Moisse, Matthieu, primary, Sanderson, Maureen, primary, Southey, Melissa C., primary, Jones, Michael, primary, Lush, Michael, primary, Hildebrandt, Michelle A.T., primary, Hou, Ming-Feng, primary, Schoemaker, Minouk J., primary, Garcia-Closas, Montserrat, primary, Bogdanova, Natalia, primary, Rahman, Nazneen, primary, Le, Nhu D., primary, Orr, Nick, primary, Wentzensen, Nicolas, primary, Pashayan, Nora, primary, Peterlongo, Paolo, primary, Guénel, Pascal, primary, Brennan, Paul, primary, Paulo, Paula, primary, Webb, Penelope M., primary, Broberg, Per, primary, Fasching, Peter A., primary, Devilee, Peter, primary, Wang, Qin, primary, Cai, Qiuyin, primary, Li, Qiyuan, primary, Kaneva, Radka, primary, Butzow, Ralf, primary, Kopperud, Reidun Kristin, primary, Schmutzler, Rita K., primary, Stephenson, Robert A., primary, MacInnis, Robert J., primary, Hoover, Robert N., primary, Winqvist, Robert, primary, Ness, Roberta, primary, Milne, Roger L., primary, Travis, Ruth C., primary, Benlloch, Sara, primary, Olson, Sara H., primary, McDonnell, Shannon K., primary, Tworoger, Shelley S., primary, Maia, Sofia, primary, Berndt, Sonja, primary, Lee, Soo Chin, primary, Teo, Soo-Hwang, primary, Thibodeau, Stephen N., primary, Bojesen, Stig E., primary, Gapstur, Susan M., primary, Kjær, Susanne Krüger, primary, Pejovic, Tanja, primary, Tammela, Teuvo L.J., primary, Dörk, Thilo, primary, Brüning, Thomas, primary, Wahlfors, Tiina, primary, Key, Tim J., primary, Edwards, Todd L., primary, Menon, Usha, primary, Hamann, Ute, primary, Mitev, Vanio, primary, Kosma, Veli-Matti, primary, Setiawan, Veronica Wendy, primary, Kristensen, Vessela, primary, Arndt, Volker, primary, Vogel, Walther, primary, Zheng, Wei, primary, Sieh, Weiva, primary, Blot, William J., primary, Kluzniak, Wojciech, primary, Shu, Xiao-Ou, primary, Gao, Yu-Tang, primary, Schumacher, Fredrick, primary, Freedman, Matthew L., primary, Berchuck, Andrew, primary, Dunning, Alison M., primary, Simard, Jacques, primary, Haiman, Christopher A., primary, Spurdle, Amanda, primary, Sellers, Thomas A., primary, Hunter, David J., primary, Henderson, Brian E., primary, Kraft, Peter, primary, Chanock, Stephen J., primary, Couch, Fergus J., primary, Hall, Per, primary, Gayther, Simon A., primary, Easton, Douglas F., primary, Chenevix-Trench, Georgia, primary, Eeles, Rosalind, primary, Pharoah, Paul D.P., primary, and Lambrechts, Diether, primary
Published: 2023
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49. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P., primary, Beesley, Jonathan, primary, Amin Al Olama, Ali, primary, Michailidou, Kyriaki, primary, Tyrer, Jonathan, primary, Kote-Jarai, ZSofia, primary, Lawrenson, Kate, primary, Lindstrom, Sara, primary, Ramus, Susan J., primary, Thompson, Deborah J., primary, Kibel, Adam S., primary, Dansonka-Mieszkowska, Agnieszka, primary, Michael, Agnieszka, primary, Dieffenbach, Aida K., primary, Gentry-Maharaj, Aleksandra, primary, Whittemore, Alice S., primary, Wolk, Alicja, primary, Monteiro, Alvaro, primary, Peixoto, Ana, primary, Kierzek, Andrzej, primary, Cox, Angela, primary, Rudolph, Anja, primary, Gonzalez-Neira, Anna, primary, Wu, Anna H., primary, Lindblom, Annika, primary, Swerdlow, Anthony, primary, Ziogas, Argyrios, primary, Ekici, Arif B., primary, Burwinkel, Barbara, primary, Karlan, Beth Y., primary, Nordestgaard, Børge G., primary, Blomqvist, Carl, primary, Phelan, Catherine, primary, McLean, Catriona, primary, Pearce, Celeste Leigh, primary, Vachon, Celine, primary, Cybulski, Cezary, primary, Slavov, Chavdar, primary, Stegmaier, Christa, primary, Maier, Christiane, primary, Ambrosone, Christine B., primary, Høgdall, Claus K., primary, Teerlink, Craig C., primary, Kang, Daehee, primary, Tessier, Daniel C., primary, Schaid, Daniel J., primary, Stram, Daniel O., primary, Cramer, Daniel W., primary, Neal, David E., primary, Eccles, Diana, primary, Flesch-Janys, Dieter, primary, Edwards, Digna R. Velez, primary, Wokozorczyk, Dominika, primary, Levine, Douglas A., primary, Yannoukakos, Drakoulis, primary, Sawyer, Elinor J., primary, Bandera, Elisa V., primary, Poole, Elizabeth M., primary, Goode, Ellen L., primary, Khusnutdinova, Elza, primary, Høgdall, Estrid, primary, Song, Fengju, primary, Bruinsma, Fiona, primary, Heitz, Florian, primary, Modugno, Francesmary, primary, Hamdy, Freddie C., primary, Wiklund, Fredrik, primary, Giles, Graham G., primary, Olsson, Håkan, primary, Wildiers, Hans, primary, Ulmer, Hans-Ulrich, primary, Pandha, Hardev, primary, Risch, Harvey A., primary, Darabi, Hatef, primary, Salvesen, Helga B., primary, Nevanlinna, Heli, primary, Gronberg, Henrik, primary, Brenner, Hermann, primary, Brauch, Hiltrud, primary, Anton-Culver, Hoda, primary, Song, Honglin, primary, Lim, Hui-Yi, primary, McNeish, Iain, primary, Campbell, Ian, primary, Vergote, Ignace, primary, Gronwald, Jacek, primary, Lubiński, Jan, primary, Stanford, Janet L., primary, Benítez, Javier, primary, Doherty, Jennifer A., primary, Permuth, Jennifer B., primary, Chang-Claude, Jenny, primary, Donovan, Jenny L., primary, Dennis, Joe, primary, Schildkraut, Joellen M., primary, Schleutker, Johanna, primary, Hopper, John L., primary, Kupryjanczyk, Jolanta, primary, Park, Jong Y., primary, Figueroa, Jonine, primary, Clements, Judith A., primary, Knight, Julia A., primary, Peto, Julian, primary, Cunningham, Julie M., primary, Pow-Sang, Julio, primary, Batra, Jyotsna, primary, Czene, Kamila, primary, Lu, Karen H., primary, Herkommer, Kathleen, primary, Khaw, Kay-Tee, primary, Matsuo, Keitaro, primary, Muir, Kenneth, primary, Offitt, Kenneth, primary, Chen, Kexin, primary, Moysich, Kirsten B., primary, Aittomäki, Kristiina, primary, Odunsi, Kunle, primary, Kiemeney, Lambertus A., primary, Massuger, Leon F.A.G., primary, Fitzgerald, Liesel M., primary, Cook, Linda S., primary, Cannon-Albright, Lisa, primary, Hooning, Maartje J., primary, Pike, Malcolm C., primary, Bolla, Manjeet K., primary, Luedeke, Manuel, primary, Teixeira, Manuel R., primary, Goodman, Marc T., primary, Schmidt, Marjanka K., primary, Riggan, Marjorie, primary, Aly, Markus, primary, Rossing, Mary Anne, primary, Beckmann, Matthias W., primary, Moisse, Matthieu, primary, Sanderson, Maureen, primary, Southey, Melissa C., primary, Jones, Michael, primary, Lush, Michael, primary, Hildebrandt, Michelle A.T., primary, Hou, Ming-Feng, primary, Schoemaker, Minouk J., primary, Garcia-Closas, Montserrat, primary, Bogdanova, Natalia, primary, Rahman, Nazneen, primary, Le, Nhu D., primary, Orr, Nick, primary, Wentzensen, Nicolas, primary, Pashayan, Nora, primary, Peterlongo, Paolo, primary, Guénel, Pascal, primary, Brennan, Paul, primary, Paulo, Paula, primary, Webb, Penelope M., primary, Broberg, Per, primary, Fasching, Peter A., primary, Devilee, Peter, primary, Wang, Qin, primary, Cai, Qiuyin, primary, Li, Qiyuan, primary, Kaneva, Radka, primary, Butzow, Ralf, primary, Kopperud, Reidun Kristin, primary, Schmutzler, Rita K., primary, Stephenson, Robert A., primary, MacInnis, Robert J., primary, Hoover, Robert N., primary, Winqvist, Robert, primary, Ness, Roberta, primary, Milne, Roger L., primary, Travis, Ruth C., primary, Benlloch, Sara, primary, Olson, Sara H., primary, McDonnell, Shannon K., primary, Tworoger, Shelley S., primary, Maia, Sofia, primary, Berndt, Sonja, primary, Lee, Soo Chin, primary, Teo, Soo-Hwang, primary, Thibodeau, Stephen N., primary, Bojesen, Stig E., primary, Gapstur, Susan M., primary, Kjær, Susanne Krüger, primary, Pejovic, Tanja, primary, Tammela, Teuvo L.J., primary, Dörk, Thilo, primary, Brüning, Thomas, primary, Wahlfors, Tiina, primary, Key, Tim J., primary, Edwards, Todd L., primary, Menon, Usha, primary, Hamann, Ute, primary, Mitev, Vanio, primary, Kosma, Veli-Matti, primary, Setiawan, Veronica Wendy, primary, Kristensen, Vessela, primary, Arndt, Volker, primary, Vogel, Walther, primary, Zheng, Wei, primary, Sieh, Weiva, primary, Blot, William J., primary, Kluzniak, Wojciech, primary, Shu, Xiao-Ou, primary, Gao, Yu-Tang, primary, Schumacher, Fredrick, primary, Freedman, Matthew L., primary, Berchuck, Andrew, primary, Dunning, Alison M., primary, Simard, Jacques, primary, Haiman, Christopher A., primary, Spurdle, Amanda, primary, Sellers, Thomas A., primary, Hunter, David J., primary, Henderson, Brian E., primary, Kraft, Peter, primary, Chanock, Stephen J., primary, Couch, Fergus J., primary, Hall, Per, primary, Gayther, Simon A., primary, Easton, Douglas F., primary, Chenevix-Trench, Georgia, primary, Eeles, Rosalind, primary, Pharoah, Paul D.P., primary, and Lambrechts, Diether, primary
Published: 2023
Full Text: View/download PDF

50. Supplementary Acknowledgments from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P., primary, Beesley, Jonathan, primary, Amin Al Olama, Ali, primary, Michailidou, Kyriaki, primary, Tyrer, Jonathan, primary, Kote-Jarai, ZSofia, primary, Lawrenson, Kate, primary, Lindstrom, Sara, primary, Ramus, Susan J., primary, Thompson, Deborah J., primary, Kibel, Adam S., primary, Dansonka-Mieszkowska, Agnieszka, primary, Michael, Agnieszka, primary, Dieffenbach, Aida K., primary, Gentry-Maharaj, Aleksandra, primary, Whittemore, Alice S., primary, Wolk, Alicja, primary, Monteiro, Alvaro, primary, Peixoto, Ana, primary, Kierzek, Andrzej, primary, Cox, Angela, primary, Rudolph, Anja, primary, Gonzalez-Neira, Anna, primary, Wu, Anna H., primary, Lindblom, Annika, primary, Swerdlow, Anthony, primary, Ziogas, Argyrios, primary, Ekici, Arif B., primary, Burwinkel, Barbara, primary, Karlan, Beth Y., primary, Nordestgaard, Børge G., primary, Blomqvist, Carl, primary, Phelan, Catherine, primary, McLean, Catriona, primary, Pearce, Celeste Leigh, primary, Vachon, Celine, primary, Cybulski, Cezary, primary, Slavov, Chavdar, primary, Stegmaier, Christa, primary, Maier, Christiane, primary, Ambrosone, Christine B., primary, Høgdall, Claus K., primary, Teerlink, Craig C., primary, Kang, Daehee, primary, Tessier, Daniel C., primary, Schaid, Daniel J., primary, Stram, Daniel O., primary, Cramer, Daniel W., primary, Neal, David E., primary, Eccles, Diana, primary, Flesch-Janys, Dieter, primary, Edwards, Digna R. Velez, primary, Wokozorczyk, Dominika, primary, Levine, Douglas A., primary, Yannoukakos, Drakoulis, primary, Sawyer, Elinor J., primary, Bandera, Elisa V., primary, Poole, Elizabeth M., primary, Goode, Ellen L., primary, Khusnutdinova, Elza, primary, Høgdall, Estrid, primary, Song, Fengju, primary, Bruinsma, Fiona, primary, Heitz, Florian, primary, Modugno, Francesmary, primary, Hamdy, Freddie C., primary, Wiklund, Fredrik, primary, Giles, Graham G., primary, Olsson, Håkan, primary, Wildiers, Hans, primary, Ulmer, Hans-Ulrich, primary, Pandha, Hardev, primary, Risch, Harvey A., primary, Darabi, Hatef, primary, Salvesen, Helga B., primary, Nevanlinna, Heli, primary, Gronberg, Henrik, primary, Brenner, Hermann, primary, Brauch, Hiltrud, primary, Anton-Culver, Hoda, primary, Song, Honglin, primary, Lim, Hui-Yi, primary, McNeish, Iain, primary, Campbell, Ian, primary, Vergote, Ignace, primary, Gronwald, Jacek, primary, Lubiński, Jan, primary, Stanford, Janet L., primary, Benítez, Javier, primary, Doherty, Jennifer A., primary, Permuth, Jennifer B., primary, Chang-Claude, Jenny, primary, Donovan, Jenny L., primary, Dennis, Joe, primary, Schildkraut, Joellen M., primary, Schleutker, Johanna, primary, Hopper, John L., primary, Kupryjanczyk, Jolanta, primary, Park, Jong Y., primary, Figueroa, Jonine, primary, Clements, Judith A., primary, Knight, Julia A., primary, Peto, Julian, primary, Cunningham, Julie M., primary, Pow-Sang, Julio, primary, Batra, Jyotsna, primary, Czene, Kamila, primary, Lu, Karen H., primary, Herkommer, Kathleen, primary, Khaw, Kay-Tee, primary, Matsuo, Keitaro, primary, Muir, Kenneth, primary, Offitt, Kenneth, primary, Chen, Kexin, primary, Moysich, Kirsten B., primary, Aittomäki, Kristiina, primary, Odunsi, Kunle, primary, Kiemeney, Lambertus A., primary, Massuger, Leon F.A.G., primary, Fitzgerald, Liesel M., primary, Cook, Linda S., primary, Cannon-Albright, Lisa, primary, Hooning, Maartje J., primary, Pike, Malcolm C., primary, Bolla, Manjeet K., primary, Luedeke, Manuel, primary, Teixeira, Manuel R., primary, Goodman, Marc T., primary, Schmidt, Marjanka K., primary, Riggan, Marjorie, primary, Aly, Markus, primary, Rossing, Mary Anne, primary, Beckmann, Matthias W., primary, Moisse, Matthieu, primary, Sanderson, Maureen, primary, Southey, Melissa C., primary, Jones, Michael, primary, Lush, Michael, primary, Hildebrandt, Michelle A.T., primary, Hou, Ming-Feng, primary, Schoemaker, Minouk J., primary, Garcia-Closas, Montserrat, primary, Bogdanova, Natalia, primary, Rahman, Nazneen, primary, Le, Nhu D., primary, Orr, Nick, primary, Wentzensen, Nicolas, primary, Pashayan, Nora, primary, Peterlongo, Paolo, primary, Guénel, Pascal, primary, Brennan, Paul, primary, Paulo, Paula, primary, Webb, Penelope M., primary, Broberg, Per, primary, Fasching, Peter A., primary, Devilee, Peter, primary, Wang, Qin, primary, Cai, Qiuyin, primary, Li, Qiyuan, primary, Kaneva, Radka, primary, Butzow, Ralf, primary, Kopperud, Reidun Kristin, primary, Schmutzler, Rita K., primary, Stephenson, Robert A., primary, MacInnis, Robert J., primary, Hoover, Robert N., primary, Winqvist, Robert, primary, Ness, Roberta, primary, Milne, Roger L., primary, Travis, Ruth C., primary, Benlloch, Sara, primary, Olson, Sara H., primary, McDonnell, Shannon K., primary, Tworoger, Shelley S., primary, Maia, Sofia, primary, Berndt, Sonja, primary, Lee, Soo Chin, primary, Teo, Soo-Hwang, primary, Thibodeau, Stephen N., primary, Bojesen, Stig E., primary, Gapstur, Susan M., primary, Kjær, Susanne Krüger, primary, Pejovic, Tanja, primary, Tammela, Teuvo L.J., primary, Dörk, Thilo, primary, Brüning, Thomas, primary, Wahlfors, Tiina, primary, Key, Tim J., primary, Edwards, Todd L., primary, Menon, Usha, primary, Hamann, Ute, primary, Mitev, Vanio, primary, Kosma, Veli-Matti, primary, Setiawan, Veronica Wendy, primary, Kristensen, Vessela, primary, Arndt, Volker, primary, Vogel, Walther, primary, Zheng, Wei, primary, Sieh, Weiva, primary, Blot, William J., primary, Kluzniak, Wojciech, primary, Shu, Xiao-Ou, primary, Gao, Yu-Tang, primary, Schumacher, Fredrick, primary, Freedman, Matthew L., primary, Berchuck, Andrew, primary, Dunning, Alison M., primary, Simard, Jacques, primary, Haiman, Christopher A., primary, Spurdle, Amanda, primary, Sellers, Thomas A., primary, Hunter, David J., primary, Henderson, Brian E., primary, Kraft, Peter, primary, Chanock, Stephen J., primary, Couch, Fergus J., primary, Hall, Per, primary, Gayther, Simon A., primary, Easton, Douglas F., primary, Chenevix-Trench, Georgia, primary, Eeles, Rosalind, primary, Pharoah, Paul D.P., primary, and Lambrechts, Diether, primary
Published: 2023
Full Text: View/download PDF

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