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Your search keyword '"González-Neira, Anna"' showing total 95 results
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95 results on '"González-Neira, Anna"'

1. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry

Author

Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Benitez, Javier, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine D, Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G, González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Holleczek, Bernd, Hoppe, Reiner, Hopper, John L, Houlston, Richard S, Howell, Anthony, Hunter, David J, Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A, Newman, William G, Nielsen, Sune F, Nordestgaard, Børge G, Norman, Aaron, O’Brien, Katie M, Olson, Janet E, Patel, Alpa V, Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J, and Sandler, Dale P

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer Genomics, Human Genome, Estrogen, Cancer, Women's Health, Genetics, Prevention, Aging, Breast Cancer, 2.1 Biological and endogenous factors, Adult, Female, Humans, Gene-Environment Interaction, Genetic Predisposition to Disease, Breast Neoplasms, Bayes Theorem, Genome-Wide Association Study, Risk Factors, Polymorphism, Single Nucleotide, Case-Control Studies, Breast cancer, Gene-environment interactions, Genetic epidemiology, European ancestry, CTS Consortium, ABCTB Investigators, kConFab Investigators, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundGenome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer.MethodsAnalyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs.ResultsAssuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability

Published
2023

2. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author

Ahearn, Thomas U, Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L, Bolla, Manjeet K, Dennis, Joe, Dunning, Alison M, Lush, Michael, Wang, Qin, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Canzian, Federico, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Collée, J Margriet, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Alnæs, Grethe I Grenaker, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J, Hoover, Robert N, Hopper, John L, Howell, Anthony, Jakimovska, Milena, Jakubowska, Anna, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N, Krüger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W, Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G, Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, and McLean, Catriona

Subjects
Human Genome, Cancer, Genetics, Clinical Research, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Biomarkers, Tumor, Breast Neoplasms, Female, Genome-Wide Association Study, Humans, Receptor, ErbB-2, Receptors, Estrogen, Receptors, Progesterone, Risk, Breast cancer, Etiologic heterogeneity, Genetic predisposition, Common breast cancer susceptibility variants, NBCS Collaborators, ABCTB Investigators, kConFab/AOCS Investigators, Receptor, erbB-2, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundGenome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear.MethodsAmong 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes.ResultsEighty-five of 173 variants were associated with at least one tumor feature (false discovery rate

Published
2022

3. Rare germline copy number variants (CNVs) and breast cancer risk

Author

Dennis, Joe, Tyrer, Jonathan P, Walker, Logan C, Michailidou, Kyriaki, Dorling, Leila, Bolla, Manjeet K, Wang, Qin, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Freeman, Laura E Beane, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Castelao, Jose E, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Clarke, Christine L, Collée, J Margriet, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Jager, Agnes, Jakubowska, Anna, John, Esther M, Johnson, Nichola, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Ko, Yon-Dschun, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Lacey, James V, Lambrechts, Diether, Larson, Nicole L, Linet, Martha, Ogrodniczak, Alicja, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L, Muranen, Taru A, Murphy, Rachel A, Nevanlinna, Heli, Olson, Janet E, Olsson, Håkan, Park-Simon, Tjoung-Won, Perou, Charles M, Peterlongo, Paolo, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Rennert, Gad, Saloustros, Emmanouil, Sandler, Dale P, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Shibli, Rana, Smeets, Ann, and Soucy, Penny

Subjects
Human Genome, Breast Cancer, Genetics, Clinical Research, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Case-Control Studies, DNA Copy Number Variations, Female, Genome, Human, Genome-Wide Association Study, Germ Cells, Humans, Risk Factors, NBCS Collaborators, CTS Consortium, ABCTB Investigators, kConFab/AOCS Investigators
Abstract

Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value

Published
2022

4. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

Author

Park, Hanla A, Neumeyer, Sonja, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baten, Adinda, Beane Freeman, Laura E, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, dos-Santos-Silva, Isabel, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fritschi, Lin, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Han, Sileny, Harkness, Elaine F, Hart, Steven N, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hopper, John L, Hunter, David J, Jager, Agnes, Jakubowska, Anna, John, Esther M, Jung, Audrey, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Koppert, Linetta B, Koutros, Stella, Kristensen, Vessela N, Kurian, Allison W, Lacey, James, Lambrechts, Diether, Le Marchand, Loic, Lo, Wing-Yee, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, Mavroudis, Dimitrios, Meindl, Alfons, Menon, Usha, Milne, Roger L, Muranen, Taru A, and Nevanlinna, Heli

Subjects
Genetics, Cancer, Substance Misuse, Clinical Research, Human Genome, Prevention, Drug Abuse (NIDA only), Breast Cancer, Tobacco, Tobacco Smoke and Health, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Breast Neoplasms, Case-Control Studies, Cigarette Smoking, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, NBCS Collaborators, ABCTB Investigators, kConFab Investigators, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundDespite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk.MethodsWe applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy.ResultsGenetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect.ConclusionOur MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.

Published
2021

5. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author

Baxter, Joseph S, Johnson, Nichola, Tomczyk, Katarzyna, Gillespie, Andrea, Maguire, Sarah, Brough, Rachel, Fachal, Laura, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V, Bojesen, Stig E, Brenner, Hermann, Brucker, Sara Y, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chan, Tsun L, Chang-Claude, Jenny, Chanock, Stephen J, Chenevix-Trench, Georgia, Choi, Ji-Yeob, Clarke, Christine L, Collaborators, NBCS, Colonna, Sarah, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Engel, Christoph, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Chi, García-Closas, Montserrat, García-Sáenz, José A, Ghoussaini, Maya, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hartman, Mikael, Hatse, Sigrid, Hauke, Jan, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L, Hou, Ming-Feng, Investigators, kConFab, Investigators, ABCTB, Ito, Hidemi, Iwasaki, Motoki, Jager, Agnes, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Joseph, Vijai, Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Keeman, Renske, Khusnutdinova, Elza, Kim, Sung-Won, Kosma, Veli-Matti, Kraft, Peter, Kristensen, Vessela N, Kubelka-Sabit, Katerina, Kurian, Allison W, Kwong, Ava, and Lacey, James V

Subjects
Human Genome, Genetics, Cancer, Estrogen, Prevention, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, CRISPR-Cas Systems, Cell Line, Chromosome Mapping, Chromosomes, Human, Pair 2, Female, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, Promoter Regions, Genetic, Risk Factors, Sequence Deletion, NBCS Collaborators, kConFab Investigators, ABCTB Investigators, breast cancer risk, functional annotation, risk locus, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31).

Published
2021

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

Author

Coignard, Juliette, Lush, Michael, Beesley, Jonathan, O'Mara, Tracy A, Dennis, Joe, Tyrer, Jonathan P, Barnes, Daniel R, McGuffog, Lesley, Leslie, Goska, Bolla, Manjeet K, Adank, Muriel A, Agata, Simona, Ahearn, Thomas, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Arun, Banu K, Augustinsson, Annelie, Azzollini, Jacopo, Barrowdale, Daniel, Baynes, Caroline, Becher, Heiko, Bermisheva, Marina, Bernstein, Leslie, Białkowska, Katarzyna, Blomqvist, Carl, Bojesen, Stig E, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, GEMO Study Collaborators, EMBRACE Collaborators, Collée, J Margriet, Conroy, Don M, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Eliassen, A Heather, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, Garcia-Barberan, Vanesa, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Gehrig, Andrea, Georgoulias, Vassilios, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, He, Wei, Hogervorst, Frans BL, Hollestelle, Antoinette, and Hopper, John L

Subjects
GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Risk Factors, Genotype, Linkage Disequilibrium, Mutation, Polymorphism, Single Nucleotide, Alleles, Quantitative Trait Loci, Adult, Middle Aged, Female, Genome-Wide Association Study, Breast Cancer, Prevention, Cancer, Genetic Testing, Human Genome, Genetics, 2.1 Biological and endogenous factors
Abstract

Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P

Published
2021

7. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers

Author

Johnson, Nichola, Maguire, Sarah, Morra, Anna, Kapoor, Pooja Middha, Tomczyk, Katarzyna, Jones, Michael E, Schoemaker, Minouk J, Gilham, Clare, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Ahearn, Thomas U, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Baynes, Caroline, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Campa, Daniele, Canzian, Federico, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dörk, Thilo, Eliassen, A Heather, Engel, Christoph, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Floris, Giuseppe, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, Gaudet, Mia M, Giles, Graham G, Goldberg, Mark S, González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Harrington, Patricia A, Hart, Steven N, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Hunter, David J, Jager, Agnes, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Linet, Martha, Lubiński, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Martens, John WM, Mavroudis, Dimitrios, Mayes, Rebecca, Meindl, Alfons, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Nielsen, Sune F, Nordestgaard, Børge G, Obi, Nadia, Olshan, Andrew F, and Olson, Janet E

Subjects
Estrogen, Human Genome, Clinical Research, Cancer, Aging, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Cytochrome P-450 CYP3A, Estrone, Female, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Pregnanediol, Premenopause, Progesterone, Receptors, Estrogen, Receptors, Progesterone, NBCS Collaborators, AOCS Group, ABCTB Investigators, kConFab Investigators, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundEpidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk.MethodsWe carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry.ResultsFor pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8).ConclusionsThe CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.

Published
2021

8. Breast Cancer Risk Genes — Association Analysis in More than 113,000 Women

Author

Dorling, Leila, Carvalho, Sara, Allen, Jamie, González-Neira, Anna, Luccarini, Craig, Wahlström, Cecilia, Pooley, Karen A, Parsons, Michael T, Fortuno, Cristina, Wang, Qin, Bolla, Manjeet K, Dennis, Joe, Keeman, Renske, Alonso, M Rosario, Álvarez, Nuria, Herraez, Belen, Fernandez, Victoria, Núñez-Torres, Rocio, Osorio, Ana, Valcich, Jeanette, Li, Minerva, Törngren, Therese, Harrington, Patricia A, Baynes, Caroline, Conroy, Don M, Decker, Brennan, Fachal, Laura, Mavaddat, Nasim, Ahearn, Thomas, Aittomäki, Kristiina, Antonenkova, Natalia N, Arnold, Norbert, Arveux, Patrick, Ausems, Margreet GEM, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Białkowska, Katarzyna, Blomqvist, Carl, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Briceno, Ignacio, Brüning, Thomas, Burwinkel, Barbara, Cameron, David A, Camp, Nicola J, Campbell, Archie, Carracedo, Angel, Castelao, Jose E, Cessna, Melissa H, Chanock, Stephen J, Christiansen, Hans, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Czene, Kamila, Dörk, Thilo, Ekici, Arif B, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Försti, Asta, Gabrielson, Marike, Gago-Dominguez, Manuela, Georgoulias, Vassilios, Gil, Fabian, Giles, Graham G, Glendon, Gord, Garcia, Encarna B Gómez, Alnæs, Grethe I Grenaker, Guénel, Pascal, Hadjisavvas, Andreas, Haeberle, Lothar, Hahnen, Eric, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartikainen, Jaana M, Hartman, Mikael, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hillemanns, Peter, Hogervorst, Frans BL, Hollestelle, Antoinette, Ho, Weang Kee, Hooning, Maartje J, Howell, Anthony, Humphreys, Keith, Idris, Faiza, Jakubowska, Anna, and Jung, Audrey

Subjects
Breast Cancer, Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Logistic Models, Middle Aged, Mutation, Missense, Odds Ratio, Risk, Sequence Analysis, DNA, Young Adult, Breast Cancer Association Consortium, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundGenetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking.MethodsWe used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluated missense-variant associations according to domain and classification of pathogenicity.ResultsProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) were associated with a risk of breast cancer overall with a P value of less than 0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D, and TP53) were associated with a risk of breast cancer overall with a P value of less than 0.05 and a Bayesian false-discovery probability of less than 0.05. For protein-truncating variants in 19 of the remaining 25 genes, the upper limit of the 95% confidence interval of the odds ratio for breast cancer overall was less than 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios were higher for estrogen receptor (ER)-positive disease than for ER-negative disease; for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, and RAD51D, odds ratios were higher for ER-negative disease than for ER-positive disease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 were associated with a risk of breast cancer overall with a P value of less than 0.001. For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a risk of breast cancer overall, with the risk being similar to that of protein-truncating variants.ConclusionsThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.).

Published
2021

9. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Author

Park, JooYong, Choi, Ji-Yeob, Choi, Jaesung, Chung, Seokang, Song, Nan, Park, Sue K, Han, Wonshik, Noh, Dong-Young, Ahn, Sei-Hyun, Lee, Jong Won, Kim, Mi Kyung, Jee, Sun Ha, Wen, Wanqing, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Shah, Mitul, Conroy, Don M, Harrington, Patricia A, Mayes, Rebecca, Czene, Kamila, Hall, Per, Teras, Lauren R, Patel, Alpa V, Couch, Fergus J, Olson, Janet E, Sawyer, Elinor J, Roylance, Rebecca, Bojesen, Stig E, Flyger, Henrik, Lambrechts, Diether, Baten, Adinda, Matsuo, Keitaro, Ito, Hidemi, Guénel, Pascal, Truong, Thérèse, Keeman, Renske, Schmidt, Marjanka K, Wu, Anna H, Tseng, Chiu-Chen, Cox, Angela, Cross, Simon S, kConFab Investigators, Andrulis, Irene L, Hopper, John L, Southey, Melissa C, Wu, Pei-Ei, Shen, Chen-Yang, Fasching, Peter A, Ekici, Arif B, Muir, Kenneth, Lophatananon, Artitaya, Brenner, Hermann, Arndt, Volker, Jones, Michael E, Swerdlow, Anthony J, Hoppe, Reiner, Ko, Yon-Dschun, Hartman, Mikael, Li, Jingmei, Mannermaa, Arto, Hartikainen, Jaana M, Benitez, Javier, González-Neira, Anna, Haiman, Christopher A, Dörk, Thilo, Bogdanova, Natalia V, Teo, Soo Hwang, Mohd Taib, Nur Aishah, Fletcher, Olivia, Johnson, Nichola, Grip, Mervi, Winqvist, Robert, Blomqvist, Carl, Nevanlinna, Heli, Lindblom, Annika, Wendt, Camilla, Kristensen, Vessela N, Nbcs Collaborators, Tollenaar, Rob AEM, Heemskerk-Gerritsen, Bernadette AM, Radice, Paolo, Bonanni, Bernardo, Hamann, Ute, Manoochehri, Mehdi, Lacey, James V, Martinez, Maria Elena, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Yoo, Keun-Young, and Kang, Daehee

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Women's Health, Clinical Research, Cancer, Estrogen, Breast Cancer, Human Genome, Genetics, Prevention, Aging, 2.1 Biological and endogenous factors, breast cancer, estrogen, gene-environment interaction, Oncology and carcinogenesis
Abstract

In this study we aim to examine gene-environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10-3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10-4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.

Published
2021

10. Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants

Author

Barnes, Daniel R, Rookus, Matti A, McGuffog, Lesley, Leslie, Goska, Mooij, Thea M, Dennis, Joe, Mavaddat, Nasim, Adlard, Julian, Ahmed, Munaza, Aittomäki, Kristiina, Andrieu, Nadine, Andrulis, Irene L, Arnold, Norbert, Arun, Banu K, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barrowdale, Daniel, Benitez, Javier, Berthet, Pascaline, Białkowska, Katarzyna, Blanco, Amie M, Blok, Marinus J, Bonanni, Bernardo, Boonen, Susanne E, Borg, Åke, Bozsik, Aniko, Bradbury, Angela R, Brennan, Paul, Brewer, Carole, Brunet, Joan, Buys, Saundra S, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Christensen, Lise Lotte, Chung, Wendy K, Claes, Kathleen BM, Colas, Chrystelle, Collonge-Rame, Marie-Agnès, Cook, Jackie, Daly, Mary B, Davidson, Rosemarie, de la Hoya, Miguel, de Putter, Robin, Delnatte, Capucine, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Domchek, Susan M, Dorfling, Cecilia M, Dumont, Martine, Eeles, Ros, Ejlertsen, Bent, Engel, Christoph, Evans, D Gareth, Faivre, Laurence, Foretova, Lenka, Fostira, Florentia, Friedlander, Michael, Friedman, Eitan, Frost, Debra, Ganz, Patricia A, Garber, Judy, Gehrig, Andrea, Gerdes, Anne-Marie, Gesta, Paul, Giraud, Sophie, Glendon, Gord, Godwin, Andrew K, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gschwantler-Kaulich, Daphne, Hahnen, Eric, Hamann, Ute, Hanson, Helen, Hentschel, Julia, Hogervorst, Frans BL, Hooning, Maartje J, Horvath, Judit, Hu, Chunling, Hulick, Peter J, Imyanitov, Evgeny N, Isaacs, Claudine, Izatt, Louise, Izquierdo, Angel, Jakubowska, Anna, James, Paul A, Janavicius, Ramunas, John, Esther M, Joseph, Vijai, Karlan, Beth Y, Kast, Karin, Koudijs, Marco, Kruse, Torben A, Kwong, Ava, Laitman, Yael, Lasset, Christine, and Lazaro, Conxi

Subjects
Clinical Research, Cancer, Ovarian Cancer, Prevention, Rare Diseases, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, BRCA2 Protein, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Genetic Predisposition to Disease, Heterozygote, Humans, Mutation, Ovarian Neoplasms, Prospective Studies, Retrospective Studies, Risk Factors, BRCA1, 2, breast cancer, ovarian cancer, PRS, genetics, GEMO Study Collaborators, EMBRACE Collaborators, kConFab Investigators, HEBON Investigators, GENEPSO Investigators, Consortium of Investigators of Modifiers of BRCA and BRCA2, BRCA1/2, Genetics, Clinical Sciences, Genetics & Heredity
Abstract

PurposeWe assessed the associations between population-based polygenic risk scores (PRS) for breast (BC) or epithelial ovarian cancer (EOC) with cancer risks for BRCA1 and BRCA2 pathogenic variant carriers.MethodsRetrospective cohort data on 18,935 BRCA1 and 12,339 BRCA2 female pathogenic variant carriers of European ancestry were available. Three versions of a 313 single-nucleotide polymorphism (SNP) BC PRS were evaluated based on whether they predict overall, estrogen receptor (ER)-negative, or ER-positive BC, and two PRS for overall or high-grade serous EOC. Associations were validated in a prospective cohort.ResultsThe ER-negative PRS showed the strongest association with BC risk for BRCA1 carriers (hazard ratio [HR] per standard deviation = 1.29 [95% CI 1.25-1.33], P = 3×10-72). For BRCA2, the strongest association was with overall BC PRS (HR = 1.31 [95% CI 1.27-1.36], P = 7×10-50). HR estimates decreased significantly with age and there was evidence for differences in associations by predicted variant effects on protein expression. The HR estimates were smaller than general population estimates. The high-grade serous PRS yielded the strongest associations with EOC risk for BRCA1 (HR = 1.32 [95% CI 1.25-1.40], P = 3×10-22) and BRCA2 (HR = 1.44 [95% CI 1.30-1.60], P = 4×10-12) carriers. The associations in the prospective cohort were similar.ConclusionPopulation-based PRS are strongly associated with BC and EOC risks for BRCA1/2 carriers and predict substantial absolute risk differences for women at PRS distribution extremes.

Published
2020

11. Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status

Author

Feng, Helian, Gusev, Alexander, Pasaniuc, Bogdan, Wu, Lang, Long, Jirong, Abu‐full, Zomoroda, Aittomäki, Kristiina, Andrulis, Irene L, Anton‐Culver, Hoda, Antoniou, Antonis C, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Auer, Paul L, Azzollini, Jacopo, Balmaña, Judith, Barkardottir, Rosa B, Barnes, Daniel R, Barrowdale, Daniel, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blanco, Ana, Blomqvist, Carl, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Canisius, Sander, Campa, Daniele, Carter, Brian D, Carter, Jonathan, Castelao, Jose E, Chang‐Claude, Jenny, Chanock, Stephen J, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Couch, Fergus J, Cox, Angela, Cross, Simon S, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, De Leeneer, Kim, Dennis, Joe, Devilee, Peter, Diez, Orland, Domchek, Susan M, Dörk, Thilo, dos‐Santos‐Silva, Isabel, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ejlertsen, Bent, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Fostira, Florentia, Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gabrielson, Marike, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, García‐Closas, Montserrat, García‐Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González‐Neira, Anna, and Greene, Mark H

Subjects
Biological Sciences, Health Sciences, Genetics, Cancer, Biotechnology, Prevention, Clinical Research, Human Genome, Estrogen, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Estrogens, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Receptors, Estrogen, Risk Assessment, Transcriptome, Vesicular Transport Proteins, breast cancer subtype, causal gene, GWAS, TWAS, GEMO Study Collaborators, EMBRACE Collaborators, GC-HBOC study Collaborators, ABCTB Investigators, HEBON Investigators, BCFR Investigators, OCGN Investigators, Public Health and Health Services, Epidemiology
Abstract

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.

Published
2020

12. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

Author

Zhang, Haoyu, Ahearn, Thomas U, Lecarpentier, Julie, Barnes, Daniel, Beesley, Jonathan, Qi, Guanghao, Jiang, Xia, O'Mara, Tracy A, Zhao, Ni, Bolla, Manjeet K, Dunning, Alison M, Dennis, Joe, Wang, Qin, Ful, Zumuruda Abu, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Auer, Paul L, Azzollini, Jacopo, Barrowdale, Daniel, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bialkowska, Katarzyna, Blanco, Ana, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Bondavalli, Davide, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Briceno, Ignacio, Broeks, Annegien, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byers, Helen, Caldés, Trinidad, Caligo, Maria A, Calvello, Mariarosaria, Campa, Daniele, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Christiaens, Melissa, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Diez, Orland, Domchek, Susan M, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Foretova, Lenka, Fostira, Florentia, Friedman, Eitan, Frost, Debra, Gago-Dominguez, Manuela, Gapstur, Susan M, Garber, Judy, García-Sáenz, José A, Gaudet, Mia M, Gayther, Simon A, Giles, Graham G, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Häberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Hake, Christopher R, Hall, Per, Hamann, Ute, Harkness, Elaine F, Heemskerk-Gerritsen, Bernadette AM, and Hillemanns, Peter

Subjects
kConFab Investigators, ABCTB Investigators, EMBRACE Study, GEMO Study Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, Case-Control Studies, Linkage Disequilibrium, Mutation, Female, Genome-Wide Association Study, Triple Negative Breast Neoplasms, Human Genome, Cancer, Prevention, Genetics, Breast Cancer, 2.1 Biological and endogenous factors, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P

Published
2020

13. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium

Author

Kapoor, Pooja Middha, Lindström, Sara, Behrens, Sabine, Wang, Xiaoliang, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Dunning, Alison M, Pharoah, Paul DP, Schmidt, Marjanka K, Kraft, Peter, García-Closas, Montserrat, Easton, Douglas F, Milne, Roger L, Chang-Claude, Jenny, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Augustinsson, Annelie, Freeman, Laura E Beane, Beckmann, Matthias W, Benitez, Javier, Bernstein, Leslie, Berrandou, Takiy, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brock, Ian W, Broeks, Annegien, Brooks-Wilson, Angela, Butterbach, Katja, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chenevix-Trench, Georgia, Cheng, Ting-Yuan David, Clarke, Christine L, Cordina-Duverger, Emilie, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Dite, Gillian S, Earp, H Shelton, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E, Harkness, Elaine F, Harstad, Tricia, He, Wei, Heyworth, Jane, Hoover, Robert N, Hopper, John L, Humphreys, Keith, Hunter, David J, Marrón, Pablo Isidro, John, Esther M, Jones, Michael E, Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Krüger, Ute, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, and Makalic, Enes

Subjects
Genetics, Estrogen, Clinical Research, Cancer, Breast Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Alleles, Breast Neoplasms, Case-Control Studies, Europe, Factor XIII, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, Breast Cancer Association Consortium, Europeans, Gene-environment interaction, breast cancer, epidemiology, risk factors, single nucleotide polymorphism, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundPrevious gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions.MethodsAnalyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions.ResultsNoteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth.ConclusionsOverall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.

Published
2020

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

Author

Escala-Garcia, Maria, Abraham, Jean, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Ashworth, Alan, Auer, Paul L, Auvinen, Päivi, Beckmann, Matthias W, Beesley, Jonathan, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Blot, William, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brucker, Sara Y, Burwinkel, Barbara, Caldas, Carlos, Canzian, Federico, Chang-Claude, Jenny, Chanock, Stephen J, Chin, Suet-Feung, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Dennis, Joe, Devilee, Peter, Dunn, Janet A, Dunning, Alison M, Dwek, Miriam, Earl, Helena M, Eccles, Diana M, Eliassen, A Heather, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, George, Angela, Giles, Graham G, Goldgar, David E, González-Neira, Anna, Grip, Mervi, Guénel, Pascal, Guo, Qi, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, Harrington, Patricia A, Hiller, Louise, Hooning, Maartje J, Hopper, John L, Howell, Anthony, Huang, Chiun-Sheng, Huang, Guanmengqian, Hunter, David J, Jakubowska, Anna, John, Esther M, Kaaks, Rudolf, Kapoor, Pooja Middha, Keeman, Renske, Kitahara, Cari M, Koppert, Linetta B, Kraft, Peter, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lejbkowicz, Flavio, Lindblom, Annika, Lubiński, Jan, Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush, Margolin, Sara, Martinez, Maria Elena, Maurer, Tabea, Mavroudis, Dimitrios, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Newman, William G, Olshan, Andrew F, Olson, Janet E, and Olsson, Håkan

Subjects
Germ Cells, Humans, Breast Neoplasms, GTP-Binding Protein alpha Subunits, GTP-Binding Protein alpha Subunits, Gq-G11, Receptors, Estrogen, Prognosis, Computational Biology, Signal Transduction, Apoptosis, Genotype, Female, Gene Regulatory Networks, Genetic Variation, Genome-Wide Association Study, Circadian Clocks, Gq-G11, Receptors, Estrogen, Cancer, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies
Abstract

Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.

Published
2020

15. Associations of obesity and circulating insulin and glucose with breast cancer risk: a Mendelian randomization analysis.

Author

Shu, Xiang, Wu, Lang, Khankari, Nikhil K, Shu, Xiao-Ou, Wang, Thomas J, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Pharoah, Paul DP, Andrulis, Irene L, Hunter, David J, Simard, Jacques, Easton, Douglas F, Zheng, Wei, Alicia, Beeghly-Fadiel J, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Barrdahl, Myrto, Baynes, Caroline, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Broberg, Per, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Caldés, Trinidad, Canzian, Federico, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chenevix-Trench, Georgia, David Cheng, Ting-Yuan, Clarke, Christine L, Conroy, Don M, Couch, Fergus J, Cox, David G, Cox, Angela, Cross, Simon S, Cunningham, Julie M, Czene, Kamila, Daly, Mary B, Doheny, Kimberly F, Dörk, Thilo, dos-Santos-Silva, Isabel, Dumont, Martine, Dunning, Alison M, Dwek, Miriam, Earp, H Shelton, Eccles, Diana M, Heather Eliassen, A, Engel, Christoph, Eriksson, Mikael, Gareth Evans, D, Fachal, Laura, Fasching, Peter A, Figueroa, Jonine, 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, He, Wei, Hein, Alexander, Hicks, Belynda, Hillemanns, Peter, Hogervorst, Frans B, Hollestelle, Antoinette, and Hoover, Robert N

Subjects
Clinical Research, Diabetes, Prevention, Nutrition, Obesity, Cancer, Aging, Breast Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Adult, Aged, Blood Glucose, Body Mass Index, Breast Neoplasms, Diabetes Mellitus, Type 2, Female, Humans, Insulin, Mendelian Randomization Analysis, Middle Aged, Obesity, Abdominal, Waist-Hip Ratio, Breast cancer, insulin, glucose, obesity, genetics, Mendelian randomization analysis, Breast Cancer Association Consortium, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundIn addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear.MethodsWe conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium.ResultsAll sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p  =  5.09  ×  10-4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p  =  4.02  ×  10-4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p  =  5.05  ×  10-19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p  =  9.22  ×  10-6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer.ConclusionsWe confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.

Published
2019

16. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer.

Author

Ferreira, Manuel A, Gamazon, Eric R, Al-Ejeh, Fares, Aittomäki, Kristiina, Andrulis, Irene L, Anton-Culver, Hoda, Arason, Adalgeir, Arndt, Volker, Aronson, Kristan J, Arun, Banu K, Asseryanis, Ella, Azzollini, Jacopo, Balmaña, Judith, Barnes, Daniel R, Barrowdale, Daniel, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Białkowska, Katarzyna, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borg, Ake, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Burwinkel, Barbara, Caldés, Trinidad, Caligo, Maria A, Campa, Daniele, Campbell, Ian, Canzian, Federico, Carter, Jonathan, Carter, Brian D, Castelao, Jose E, Chang-Claude, Jenny, Chanock, Stephen J, Christiansen, Hans, Chung, Wendy K, Claes, Kathleen BM, Clarke, Christine L, EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, de la Hoya, Miguel, Dennis, Joe, Devilee, Peter, Diez, Orland, Dörk, Thilo, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Ejlertsen, Bent, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Fletcher, Olivia, Flyger, Henrik, Friedman, Eitan, Frost, Debra, Gabrielson, Marike, Gago-Dominguez, Manuela, Ganz, Patricia A, Gapstur, Susan M, Garber, Judy, García-Closas, Montserrat, García-Sáenz, José A, Gaudet, Mia M, Giles, Graham G, Glendon, Gord, Godwin, Andrew K, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Greene, Mark H, Gronwald, Jacek, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, He, Wei, Heyworth, Jane, Hogervorst, Frans BL, Hollestelle, Antoinette, Hoover, Robert N, Hopper, John L, Hulick, Peter J, Humphreys, Keith, Imyanitov, Evgeny N, ABCTB Investigators, HEBON Investigators, and BCFR Investigators

Subjects
EMBRACE Collaborators, GC-HBOC Study Collaborators, GEMO Study Collaborators, ABCTB Investigators, HEBON Investigators, BCFR Investigators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Gene Expression Profiling, Quantitative Trait Loci, Female, Genome-Wide Association Study, Prevention, Cancer, Human Genome, Aging, Breast Cancer, Genetics, Biotechnology, 2.1 Biological and endogenous factors
Abstract

Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.

Published
2019

17. 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

18. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author

Mavaddat, Nasim, Michailidou, Kyriaki, Dennis, Joe, Lush, Michael, Fachal, Laura, Lee, Andrew, Tyrer, Jonathan P, Chen, Ting-Huei, Wang, Qin, Bolla, Manjeet K, Yang, Xin, Adank, Muriel A, Ahearn, Thomas, Aittomäki, Kristiina, Allen, Jamie, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Auvinen, Päivi, Barrdahl, Myrto, Beane Freeman, Laura E, Beckmann, Matthias W, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Blomqvist, Carl, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Brenner, Hermann, Brentnall, Adam, Brock, Ian W, Brooks-Wilson, Angela, Brucker, Sara Y, Brüning, Thomas, Burwinkel, Barbara, Campa, Daniele, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chlebowski, Rowan, Christiansen, Hans, Clarke, Christine L, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Daly, Mary B, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dumont, Martine, Durcan, Lorraine, Dwek, Miriam, Eccles, Diana M, Ekici, Arif B, Eliassen, A Heather, Ellberg, Carolina, Engel, Christoph, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Försti, Asta, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gapstur, Susan M, García-Sáenz, José A, Gaudet, Mia M, Georgoulias, Vassilios, Giles, Graham G, Gilyazova, Irina R, Glendon, Gord, Goldberg, Mark S, Goldgar, David E, González-Neira, Anna, Grenaker Alnæs, Grethe I, Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Guénel, Pascal, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A, Håkansson, Niclas, Hamann, Ute, and Hankinson, Susan E

Subjects
ABCTB Investigators, kConFab/AOCS Investigators, NBCS Collaborators, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Receptors, Estrogen, Medical History Taking, Risk Assessment, Reproducibility of Results, Age Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, Female, breast, cancer, epidemiology, genetic, polygenic, prediction, risk, score, screening, stratification, Human Genome, Cancer, Genetics, Clinical Research, Prevention, Breast Cancer, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.

Published
2019

19. 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, Human Genome, Biotechnology, Prevention, Breast Cancer, Women's Health, Cancer Genomics, Cancer, 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

20. The BRCA2 c.68‐7T > A variant is not pathogenic: A model for clinical calibration of spliceogenicity

Author

Colombo, Mara, Lòpez‐Perolio, Irene, Meeks, Huong D, Caleca, Laura, Parsons, Michael T, Li, Hongyan, Vecchi, Giovanna, Tudini, Emma, Foglia, Claudia, Mondini, Patrizia, Manoukian, Siranoush, Behar, Raquel, Garcia, Encarna B Gómez, Meindl, Alfons, Montagna, Marco, Niederacher, Dieter, Schmidt, Ane Y, Varesco, Liliana, Wappenschmidt, Barbara, Bolla, Manjeet K, Dennis, Joe, Michailidou, Kyriaki, Wang, Qin, Aittomäki, Kristiina, Andrulis, Irene L, Anton‐Culver, Hoda, Arndt, Volker, Beckmann, Matthias W, Beeghly‐Fadel, Alicia, Benitez, Javier, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Stig E, Bonanni, Bernardo, Brauch, Hiltrud, Brenner, Hermann, Burwinkel, Barbara, Chang‐Claude, Jenny, Conroy, Don M, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dörk, Thilo, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, García‐Closas, Montserrat, Giles, Graham G, González‐Neira, Anna, Guénel, Pascal, Haiman, Christopher A, Hall, Per, Hamann, Ute, Hartman, Mikael, Hauke, Jan, Hollestelle, Antoinette, Hopper, John L, Jakubowska, Anna, Jung, Audrey, Kosma, Veli‐Matti, Lambrechts, Diether, Le Marchand, Loid, Lindblom, Annika, Lubinski, Jan, Mannermaa, Arto, Margolin, Sara, Miao, Hui, Milne, Roger L, Neuhausen, Susan L, Nevanlinna, Heli, Olson, Janet E, Peterlongo, Paolo, Peto, Julian, Pylkäs, Katri, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Schneeweiss, Andreas, Schoemaker, Minouk J, See, Mee Hoong, Southey, Melissa C, Swerdlow, Anthony, Teo, Soo H, Toland, Amanda E, Tomlinson, Ian, Truong, Thérèse, Asperen, Christi J, Ouweland, Ans MW den, der Kolk, Lizet E, Winqvist, Robert, Yannoukakos, Drakoulis, Zheng, Wei, Investigators, kConFab AOCS, Dunning, Alison M, and Easton, Douglas F

Subjects
Cancer, Genetics, Clinical Research, Prevention, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, BRCA2 Protein, Base Sequence, Calibration, Cell Line, Exons, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Mitomycin, Models, Genetic, RNA Splicing, RNA, Messenger, kConFab/AOCS Investigators, BRCA2, digital PCR, multifactorial likelihood analysis, quantitative real-time PCR, spliceogenic variants, Clinical Sciences, Genetics & Heredity
Abstract

Although the spliceogenic nature of the BRCA2 c.68-7T > A variant has been demonstrated, its association with cancer risk remains controversial. In this study, we accurately quantified by real-time PCR and digital PCR (dPCR), the BRCA2 isoforms retaining or missing exon 3. In addition, the combined odds ratio for causality of the variant was estimated using genetic and clinical data, and its associated cancer risk was estimated by case-control analysis in 83,636 individuals. Co-occurrence in trans with pathogenic BRCA2 variants was assessed in 5,382 families. Exon 3 exclusion rate was 4.5-fold higher in variant carriers (13%) than controls (3%), indicating an exclusion rate for the c.68-7T > A allele of approximately 20%. The posterior probability of pathogenicity was 7.44 × 10-115 . There was neither evidence for increased risk of breast cancer (OR 1.03; 95% CI 0.86-1.24) nor for a deleterious effect of the variant when co-occurring with pathogenic variants. Our data provide for the first time robust evidence of the nonpathogenicity of the BRCA2 c.68-7T > A. Genetic and quantitative transcript analyses together inform the threshold for the ratio between functional and altered BRCA2 isoforms compatible with normal cell function. These findings might be exploited to assess the relevance for cancer risk of other BRCA2 spliceogenic variants.

Published
2018

21. 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

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

Author

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

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

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

Published
2016

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

Author

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

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

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

Published
2016

24. 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

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

Author

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

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

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

Published
2016

26. 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

27. RAD51B in Familial Breast Cancer

Author

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

Subjects
Genetics, Cancer, Human Genome, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, DNA-Binding Proteins, Female, Finland, Genetic Predisposition to Disease, Genotyping Techniques, Haplotypes, Heterozygote, Humans, Male, Middle Aged, Mutation, Missense, Polymorphism, Single Nucleotide, kConFab/AOCS Investigators, General Science & Technology
Abstract

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

Published
2016

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

Author

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

Subjects
Cancer, Human Genome, Breast Cancer, Genetics, Prevention, Aetiology, 2.1 Biological and endogenous factors, Alleles, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 1, Computational Biology, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Linkage Disequilibrium, Neoplasm Grading, Polymorphism, Single Nucleotide, Population Surveillance, Quantitative Trait Loci, Risk Assessment, kConFab/AOCS Investigators, General Science & Technology
Abstract

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

Published
2016

29. 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, Gonçalo R, 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
Genetics, Biotechnology, Aging, Breast Cancer, Cancer, Human Genome, Contraception/Reproduction, 2.1 Biological and endogenous factors, Underpinning research, Aetiology, 1.1 Normal biological development and functioning, Good Health and Well Being, Adult, Age Factors, BRCA1 Protein, Breast Neoplasms, DNA Repair, Female, Gene Regulatory Networks, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genomics, Genotype, Humans, Hypothalamus, Menopause, Middle Aged, Models, Genetic, Phenotype, Reproduction, Signal Transduction, PRACTICAL consortium, kConFab Investigators, AOCS Investigators, Generation Scotland, EPIC-InterAct Consortium, LifeLines Cohort Study, Biological Sciences, Medical and Health Sciences, Developmental Biology
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

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

Author

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

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

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

Published
2015

31. 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

32. 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

33. 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

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, kConFab Investigators, Australian Ovarian Cancer Study Group, 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, and Johnson, Nichola

Subjects
kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, TNBCC, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Logistic Models, Case-Control Studies, Epistasis, Genetic, Polymorphism, Single Nucleotide, Female, Genome-Wide Association Study, Epistasis, Genetic, Polymorphism, Single Nucleotide, Human Genome, Cancer, Genetics, Prevention, Breast Cancer, 2.1 Biological and endogenous factors, 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. 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

36. Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer.

Author

Bojesen, Stig E, Pooley, Karen A, Johnatty, Sharon E, Beesley, Jonathan, Michailidou, Kyriaki, Tyrer, Jonathan P, Edwards, Stacey L, Pickett, Hilda A, Shen, Howard C, Smart, Chanel E, Hillman, Kristine M, Mai, Phuong L, Lawrenson, Kate, Stutz, Michael D, Lu, Yi, Karevan, Rod, Woods, Nicholas, Johnston, Rebecca L, French, Juliet D, Chen, Xiaoqing, Weischer, Maren, Nielsen, Sune F, Maranian, Melanie J, Ghoussaini, Maya, Ahmed, Shahana, Baynes, Caroline, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, McGuffog, Lesley, Barrowdale, Daniel, Lee, Andrew, Healey, Sue, Lush, Michael, Tessier, Daniel C, Vincent, Daniel, Bacot, Françis, Australian Cancer Study, Australian Ovarian Cancer Study, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab), Gene Environment Interaction and Breast Cancer (GENICA), Swedish Breast Cancer Study (SWE-BRCA), Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Epidemiological study of BRCA1 & BRCA2 Mutation Carriers (EMBRACE), Genetic Modifiers of Cancer Risk in BRCA1/2 Mutation Carriers (GEMO), Vergote, Ignace, Lambrechts, Sandrina, Despierre, Evelyn, Risch, Harvey A, González-Neira, Anna, Rossing, Mary Anne, Pita, Guillermo, Doherty, Jennifer A, Alvarez, Nuria, Larson, Melissa C, Fridley, Brooke L, Schoof, Nils, Chang-Claude, Jenny, Cicek, Mine S, Peto, Julian, Kalli, Kimberly R, Broeks, Annegien, Armasu, Sebastian M, Schmidt, Marjanka K, Braaf, Linde M, Winterhoff, Boris, Nevanlinna, Heli, Konecny, Gottfried E, Lambrechts, Diether, Rogmann, Lisa, Guénel, Pascal, Teoman, Attila, Milne, Roger L, Garcia, Joaquin J, Cox, Angela, Shridhar, Vijayalakshmi, Burwinkel, Barbara, Marme, Frederik, Hein, Rebecca, Sawyer, Elinor J, Haiman, Christopher A, Wang-Gohrke, Shan, Andrulis, Irene L, Moysich, Kirsten B, Hopper, John L, Odunsi, Kunle, Lindblom, Annika, Giles, Graham G, Brenner, Hermann, Simard, Jacques, Lurie, Galina, Fasching, Peter A, Carney, Michael E, Radice, Paolo, Wilkens, Lynne R, Swerdlow, Anthony, Goodman, Marc T, Brauch, Hiltrud, Garcia-Closas, Montserrat, and Hillemanns, Peter

Subjects
Australian Cancer Study, Australian Ovarian Cancer Study, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, Gene Environment Interaction and Breast Cancer, Swedish Breast Cancer Study, Hereditary Breast and Ovarian Cancer Research Group Netherlands, Epidemiological study of BRCA1 & BRCA2 Mutation Carriers, Genetic Modifiers of Cancer Risk in BRCA1/2 Mutation Carriers, Chromatin, Telomere, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, Luciferases, Telomerase, RNA, Messenger, Oligonucleotide Array Sequence Analysis, Risk Factors, Case-Control Studies, Gene Expression Profiling, Reverse Transcriptase Polymerase Chain Reaction, DNA Methylation, Alternative Splicing, Genotype, Polymorphism, Single Nucleotide, Female, Genome-Wide Association Study, Genetic Loci, Real-Time Polymerase Chain Reaction, Biomarkers, Tumor, Genetics, Breast Cancer, Cancer, Ovarian Cancer, Rare Diseases, Prevention, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

TERT-locus SNPs and leukocyte telomere measures are reportedly associated with risks of multiple cancers. Using the Illumina custom genotyping array iCOGs, we analyzed ∼480 SNPs at the TERT locus in breast (n = 103,991), ovarian (n = 39,774) and BRCA1 mutation carrier (n = 11,705) cancer cases and controls. Leukocyte telomere measurements were also available for 53,724 participants. Most associations cluster into three independent peaks. The minor allele at the peak 1 SNP rs2736108 associates with longer telomeres (P = 5.8 × 10(-7)), lower risks for estrogen receptor (ER)-negative (P = 1.0 × 10(-8)) and BRCA1 mutation carrier (P = 1.1 × 10(-5)) breast cancers and altered promoter assay signal. The minor allele at the peak 2 SNP rs7705526 associates with longer telomeres (P = 2.3 × 10(-14)), higher risk of low-malignant-potential ovarian cancer (P = 1.3 × 10(-15)) and greater promoter activity. The minor alleles at the peak 3 SNPs rs10069690 and rs2242652 increase ER-negative (P = 1.2 × 10(-12)) and BRCA1 mutation carrier (P = 1.6 × 10(-14)) breast and invasive ovarian (P = 1.3 × 10(-11)) cancer risks but not via altered telomere length. The cancer risk alleles of rs2242652 and rs10069690, respectively, increase silencing and generate a truncated TERT splice variant.

Published
2013

37. Functional Variants at the 11q13 Risk Locus for Breast Cancer Regulate Cyclin D1 Expression through Long-Range Enhancers

Author

French, Juliet D, Ghoussaini, Maya, Edwards, Stacey L, Meyer, Kerstin B, Michailidou, Kyriaki, Ahmed, Shahana, Khan, Sofia, Maranian, Mel J, O’Reilly, Martin, Hillman, Kristine M, Betts, Joshua A, Carroll, Thomas, Bailey, Peter J, Dicks, Ed, Beesley, Jonathan, Tyrer, Jonathan, Maia, Ana-Teresa, Beck, Andrew, Knoblauch, Nicholas W, Chen, Constance, Kraft, Peter, Barnes, Daniel, González-Neira, Anna, Alonso, M Rosario, Herrero, Daniel, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Luccarini, Craig, Baynes, Caroline, Conroy, Don, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Hopper, John L, Southey, Melissa C, Schmidt, Marjanka K, Broeks, Annegien, Verhoef, Senno, Cornelissen, Sten, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter A, Loehberg, Christian R, Ekici, Arif B, Beckmann, Matthias W, Peto, Julian, dos Santos Silva, Isabel, Johnson, Nichola, Aitken, Zoe, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Marme, Frederik, 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, Perez, Jose Ignacio Arias, Benitez, Javier, Anton-Culver, Hoda, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Meindl, Alfons, Lichtner, Peter, Schmutzler, Rita K, Engel, Christoph, Brauch, Hiltrud, Hamann, Ute, Justenhoven, Christina, Network, The GENICA, Aaltonen, Kirsimari, Heikkilä, Päivi, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Sueta, Aiko, Bogdanova, Natalia V, Antonenkova, Natalia N, Dörk, Thilo, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, and Kataja, Vesa

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Cancer, Aetiology, 2.1 Biological and endogenous factors, Binding Sites, Breast Neoplasms, Case-Control Studies, Cell Line, Tumor, Chromatin, Chromatin Immunoprecipitation, Chromosomes, Human, Pair 11, Cyclin D1, Electrophoretic Mobility Shift Assay, Enhancer Elements, Genetic, Female, GATA3 Transcription Factor, Gene Expression Regulation, Neoplastic, Humans, Luciferases, Polymorphism, Single Nucleotide, Promoter Regions, Genetic, RNA, Messenger, RNA, Small Interfering, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Silencer Elements, Transcriptional, ets-Domain Protein Elk-4, GENICA Network, kConFab Investigators, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Analysis of 4,405 variants in 89,050 European subjects from 41 case-control studies identified three independent association signals for estrogen-receptor-positive tumors at 11q13. The strongest signal maps to a transcriptional enhancer element in which the G allele of the best candidate causative variant rs554219 increases risk of breast cancer, reduces both binding of ELK4 transcription factor and luciferase activity in reporter assays, and may be associated with low cyclin D1 protein levels in tumors. Another candidate variant, rs78540526, lies in the same enhancer element. Risk association signal 2, rs75915166, creates a GATA3 binding site within a silencer element. Chromatin conformation studies demonstrate that these enhancer and silencer elements interact with each other and with their likely target gene, CCND1.

Published
2013

38. 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

39. A crowdsourcing database for the copy-number variation of the spanish population

Author

López-López, Daniel, Roldán, Gema, Fernández-Rueda, Jose L., Bostelmann, Gerrit, Carmona, Rosario, Aquino, Virginia, Perez-Florido, Javier, Ortuño, Francisco, Pita, Guillermo, Núñez-Torres, Rocío, González-Neira, Anna, Alonso, Angel, Salgado-Garrido, Josefa, Pasalodos-Sanchez, Sara, Ayuso, Carmen, Minguez, Pablo, Avila-Fernandez, Almudena, Corton, Marta, Artuch, Rafael, Borrego, Salud, Antiñolo, Guillermo, Carracedo, Angel, Amigo, Jorge, Castaño, Luis Antonio, Tejada, Isabel, Delmiro, Aitor, Espinos, Carmina, Grinberg, Daniel, Guillén, Encarnación, Lapunzina, Pablo, Lopez-Escámez, Jose Antonio, Gallego-Martinez, Alvaro, Martí, Ramón, Rovira, Eulalia, Millán, José Mª, Moreno, Miguel Angel, Morin, Matías, Moreno-Galdó, Antonio, Fernández-Cancio, Mónica, Morte, Beatriz, Mulero, Victoriano, García, Diana, Nunes, Virginia, Palau, Francesc, Perez, Belén, Jurado, Luis Pérez, Perona, Rosario, Pujol, Aurora, Ramos, Feliciano, Lopez, Esther, Ribes, Antonia, Rosell, Jordi, Surrallés, Jordi, Peña-Chilet, María, Dopazo, Joaquin, Universidad Pública de Navarra. Departamento de Ciencias de la Salud, and Nafarroako Unibertsitate Publikoa. Osasun Zientziak Saila

Subjects
Copy-number variation, Espanya -- Població, Drug Discovery, Genetics, Molecular Medicine, Proveïment participatiu, Espanya -- Estadístiques, Molecular Biology, Spanish population
Abstract

Background Despite being a very common type of genetic variation, the distribution of copy-number variations (CNVs) in the population is still poorly understood. The knowledge of the genetic variability, especially at the level of the local population, is a critical factor for distinguishing pathogenic from non-pathogenic variation in the discovery of new disease variants. Results Here, we present the SPAnish Copy Number Alterations Collaborative Server (SPACNACS), which currently contains copy number variation profiles obtained from more than 400 genomes and exomes of unrelated Spanish individuals. By means of a collaborative crowdsourcing effort whole genome and whole exome sequencing data, produced by local genomic projects and for other purposes, is continuously collected. Once checked both, the Spanish ancestry and the lack of kinship with other individuals in the SPACNACS, the CNVs are inferred for these sequences and they are used to populate the database. A web interface allows querying the database with different filters that include ICD10 upper categories. This allows discarding samples from the disease under study and obtaining pseudo-control CNV profiles from the local population. We also show here additional studies on the local impact of CNVs in some phenotypes and on pharmacogenomic variants. SPACNACS can be accessed at: http://csvs.clinbioinfosspa.es/spacnacs/. Conclusion SPACNACS facilitates disease gene discovery by providing detailed information of the local variability of the population and exemplifies how to reuse genomic data produced for other purposes to build a local reference database.

Published
2023

40. Novel genes and sex differences in COVID-19 severity

Author

Cruz, Raquel, Diz-de Almeida, Silvia, López de Heredia, Miguel, Quintela, Inés, Ceballos, Francisco C., Pita, Guillermo, Lorenzo-Salazar, José M, González-Montelongo, Rafaela, Gago-Domínguez, Manuela, Sevilla Porras, Marta, Tenorio Castaño, Jair Antonio, Nevado, Julian, Aguado, Jose María, Aguilar, Carlos, Aguilera-Albesa, Sergio, Almadana, Virginia, Almoguera, Berta, Alvarez, Nuria, Andreu-Bernabeu, Álvaro, Arana-Arri, Eunate, Arango, Celso, Arranz, María J, Artiga, Maria-Jesus, Baptista-Rosas, Raúl C, Barreda-Sánchez, María, Belhassen-Garcia, Moncef, Bezerra, Joao F., Bezerra, Marcos A C, Boix-Palop, Lucía, Brion, María, Brugada, Ramón, Bustos, Matilde, Calderón, Enrique J., Carbonell, Cristina, Castano, Luis, Castelao, Jose E., Conde-Vicente, Rosa, Cordero-Lorenzana, M Lourdes, Cortes-Sanchez, Jose L., Corton, Marta, Darnaude, M Teresa, De Martino-Rodríguez, Alba, Del Campo-Pérez, Victor, Diaz de Bustamante, Aranzazu, Domínguez-Garrido, Elena, Luchessi, Andre D., Eiros, Rocío, Estigarribia Sanabria, Gladys Mercedes, Carmen Fariñas, María, Fernández-Robelo, Uxía, Fernández-Rodríguez, Amanda, Fernández-Villa, Tania, Gil-Fournier, Belén, Gómez-Arrue, Javier, González Álvarez, Beatriz, Gonzalez Bernaldo de Quirós, Fernan, González-Peñas, Javier, Gutiérrez-Bautista, Juan F., Herrero, María José, Herrero-Gonzalez, Antonio, Jimenez-Sousa, María A, Lattig, María Claudia, Liger Borja, Anabel, Lopez-Rodriguez, Rosario, Mancebo, Esther, Martín-López, Caridad, Martín, Vicente, Martinez-Nieto, Oscar, Martinez-Lopez, Iciar, Martinez-Resendez, Michel F., Martinez-Perez, Angel, Mazzeu, Juliana F., Merayo Macías, Eleuterio, Minguez, Pablo, Moreno Cuerda, Victor, Silbiger, Vivian N., Oliveira, Silviene F., Ortega-Paino, Eva, Parellada, Mara, Paz-Artal, Estela, Santos, Ney P C, Pérez-Matute, Patricia, Perez, Patricia, Pérez-Tomás, M Elena, Perucho, Teresa, Pinsach-Abuin, Mel Lina, Pompa-Mera, Ericka N., Porras-Hurtado, Gloria L., Pujol, Aurora, Ramiro León, Soraya, Resino, Salvador, Fernandes, Marianne R., Rodríguez-Ruiz, Emilio, Rodriguez-Artalejo, Fernando, Rodriguez-Garcia, José A, Ruiz Cabello, Francisco, Ruiz-Hornillos, Javier, Ryan, Pablo, Soria, José Manuel, Souto, Juan Carlos, Tamayo, Eduardo, Tamayo-Velasco, Alvaro, Taracido-Fernandez, Juan Carlos, Teper, Alejandro, Torres-Tobar, Lilian, Urioste, Miguel, Valencia-Ramos, Juan, Yáñez, Zuleima, Zarate, Ruth, Nakanishi, Tomoko, Pigazzini, Sara, Degenhardt, Frauke, Butler-Laporte, Guillaume, Maya-Miles, Douglas, Bujanda, Luis, Bouysran, Youssef, Palom, Adriana, Ellinghaus, David, Martínez-Bueno, Manuel, Rolker, Selina, Amitrano, Sara, Roade, Luisa, Fava, Francesca, Spinner, Christoph D., Prati, Daniele, Bernardo, David, Garcia, Federico, Darcis, Gilles, Fernández-Cadenas, Israel, Holter, Jan Cato, Banales, Jesus M., Frithiof, Robert, Duga, Stefano, Asselta, Rosanna, Pereira, Alexandre C., Romero-Gómez, Manuel, Nafría-Jiménez, Beatriz, Hov, Johannes R., Migeotte, Isabelle, Renieri, Alessandra, Planas, Anna M., Ludwig, Kerstin U., Buti, Maria, Rahmouni, Souad, Alarcón-Riquelme, Marta E., Schulte, Eva C., Franke, Andre, Karlsen, Tom H., Valenti, Luca, Zeberg, Hugo, Richards, Brent, Ganna, Andrea, Boada, Mercè, de Rojas, Itziar, Ruiz, Agustín, Sánchez-Juan, Pascual, Real, Luis Miguel, Guillen-Navarro, Encarna, Ayuso, Carmen, González-Neira, Anna, Riancho, José A, Rojas-Martinez, Augusto, Flores, Carlos, Lapunzina, Pablo, Carracedo, Angel, 0000-0002-6964-8898, 0000-0001-7463-2148, 0000-0002-3166-5086, 0000-0003-1374-0756, 0000-0001-9510-5646, 0000-0001-7516-3179, 0000-0001-5388-0396, 0000-0002-3875-5367, 0000-0003-3818-0871, 0000-0002-8541-2519, 0000-0003-3765-6778, Institut Català de la Salut, [Cruz R] Centro Nacional de Genotipado (CEGEN), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain. Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela, Spain. Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [Diz-de Almeida S] Centro Singular de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [López de Heredia M] Centre for Biomedical Network Research on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Madrid, Spain. [Quintela I] Centro Nacional de Genotipado (CEGEN), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. [Ceballos FC] Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología (CNM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. [Pita G] Spanish National Cancer Research Centre, Human Genotyping-CEGEN Unit, Madrid, Spain. [Palom A] Unitat Hepàtica, Servei de Medicina Interna, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain. Grup de Recerca de les Malalties Hepàtiques, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. [Buti M] Centre for Biomedical Network Research on Hepatic and Digestive Diseases (CIBEREHD), Instituto de Salud Carlos III, Madrid, Spain. Unitat Hepàtica, Servei de Medicina Interna, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain, Vall d'Hebron Barcelona Hospital Campus, Universidad de Cantabria, SCOURGE Cohort Group, HOSTAGE Cohort Group, GRA@CE Cohort Group, Instituto de Salud Carlos III, Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Fundación Amancio Ortega, Banco Santander, Estrella de Levante, Fundación La Caixa, Agencia Estatal de Investigación (España), Cabildo Insular de Tenerife (España), Fundación Canaria de Investigación Sanitaria, Institute for Molecular Medicine Finland, University of Helsinki, Data Science Genetic Epidemiology Lab, European Commission, Colabora Mujer, Fundación Canaria Instituto de Investigación Sanitaria de Canarias, and Gobierno de Canarias (España)

Subjects
INTERFERON, EXPRESSION, Male, Settore MED/09 - Medicina Interna, COVID-19 (Malaltia) - Aspectes genètics, GENETICS, Genetic Phenomena::Genotype::Genetic Predisposition to Disease [PHENOMENA AND PROCESSES], Diàtesi, AUTOZYGOSITY, Polymorphism, Single Nucleotide, fenómenos fisiológicos reproductivos y urinarios::fenómenos fisiológicos de la reproducción::características sexuales [FENÓMENOS Y PROCESOS], Genetics, virosis::infecciones por virus ARN::infecciones por Nidovirales::infecciones por Coronaviridae::infecciones por Coronavirus [ENFERMEDADES], Humans, Genetic Predisposition to Disease, HOMOZYGOSITY, Reproductive and Urinary Physiological Phenomena::Reproductive Physiological Phenomena::Sex Characteristics [PHENOMENA AND PROCESSES], Molecular Biology, Genetics (clinical), Malalties - Factors sexuals, fenómenos genéticos::genotipo::predisposición genética a la enfermedad [FENÓMENOS Y PROCESOS], Sex Characteristics, RANGE, ANDROGEN RECEPTOR, COVID-19, RUNS, Virus Diseases::RNA Virus Infections::Nidovirales Infections::Coronaviridae Infections::Coronavirus Infections [DISEASES], ASSOCIATION, General Medicine, Middle Aged, Genetic Loci, 1182 Biochemistry, cell and molecular biology, Female, LUNG, Genome-Wide Association Study
Abstract

Here, we describe the results of a genome-wide study conducted in 11939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P= 60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided., Instituto de Salud Carlos III European Commission COV20_00622 COV20/00792 COV20_00181 COV20_1144 PI20/00876, European Union (ERDF) 'A way of making Europe', Fundacion Amancio Ortega, Banco de Santander, Estrella de Levante S.A., Colabora Mujer Association, La Caixa Foundation, Agencia Estatal de Investigacion RTC-2017-6471-1, Cabildo Insular de Tenerife (Apuestas cientificas del ITER para colaborar en la lucha contra la COVID-19) CGIEU0000219140, Fundacion Canaria Instituto de Investigacion Sanitaria de Canarias PIFIISC20/57

Published
2022
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41. Geographic stratification of linkage disequilibrium: a worldwide population study in a region of chromosome 22

Author

González-Neira Anna, Calafell Francesc, Navarro Arcadi, Lao Oscar, Cann Howard, Comas David, and Bertranpetit Jaume

Subjects
linkage disequilibrium, single nucleotide polymorphism (SNP), haplotype, chromosome 22, population diversity, Medicine, Genetics, QH426-470
Abstract

Abstract Recent studies of haplotype diversity in a number of genomic regions have suggested that long stretches of DNA are preserved in the same chromosome, with little evidence of recombination events. The knowledge of the extent and strength of these haplotypes could become a powerful tool for future genetic analysis of complex traits. Different patterns of linkage disequilibrium (LD) have been found when comparing individuals of African and European descent, but there is scarce knowledge about the worldwide population stratification. Thus, the study of haplotype composition and the pattern of LD from a global perspective are relevant for elucidating their geographical stratification, as it may have implications in the future analysis of complex traits. We have typed 12 single nucleotide polymorphisms in a chromosome 22 region--previously described as having high LD levels in European populations -- in 39 different world populations. Haplotype structure has a clear continental structure with marked heterogeneity within some continents (Africa, America). The pattern of LD among neighbouring markers exhibits a strong clustering of all East Asian populations on the one hand and of Western Eurasian populations (including Europe) on the other, revealing only two major LD patterns, but with some very specific outliers due to specific demographic histories. Moreover, it should be taken into account that African populations are highly heterogeneous. The present results support the existence of a wide (but not total) communality in LD patterns in human populations from different continental regions, despite differences in their demographic histories, as population factors seem to be less relevant compared with genomic forces in shaping the patterns of LD.

Published
2004
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42. Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women

Author

Breast Cancer Association Consortium, Dorling, Leila, Carvalho, Sara, Allen, Jamie, González-Neira, Anna, Luccarini, Craig, Wahlström, Cecilia, Pooley, Karen A, Parsons, Michael T, Fortuno, Cristina, Wang, Qin, Bolla, Manjeet K, Dennis, Joe, Keeman, Renske, Alonso, M Rosario, Álvarez, Nuria, Herraez, Belen, Fernandez, Victoria, Núñez-Torres, Rocio, Osorio, Ana, Valcich, Jeanette, Li, Minerva, Törngren, Therese, Harrington, Patricia A, Baynes, Caroline, Conroy, Don M, Decker, Brennan, Fachal, Laura, Mavaddat, Nasim, Ahearn, Thomas, Aittomäki, Kristiina, Antonenkova, Natalia N, Arnold, Norbert, Arveux, Patrick, Ausems, Margreet GEM, Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W, Behrens, Sabine, Bermisheva, Marina, Białkowska, Katarzyna, Blomqvist, Carl, Bogdanova, Natalia V, Bogdanova-Markov, Nadja, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Bremer, Michael, Briceno, Ignacio, Brüning, Thomas, Burwinkel, Barbara, Cameron, David A, Camp, Nicola J, Campbell, Archie, Carracedo, Angel, Castelao, Jose E, Cessna, Melissa H, Chanock, Stephen J, Christiansen, Hans, Collée, J Margriet, Cordina-Duverger, Emilie, Cornelissen, Sten, Czene, Kamila, Dörk, Thilo, Ekici, Arif B, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flyger, Henrik, Försti, Asta, Gabrielson, Marike, Gago-Dominguez, Manuela, Georgoulias, Vassilios, Gil, Fabian, Giles, Graham G, Glendon, Gord, Garcia, Encarna B Gómez, Alnæs, Grethe I Grenaker, Guénel, Pascal, Hadjisavvas, Andreas, Haeberle, Lothar, Hahnen, Eric, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartikainen, Jaana M, Hartman, Mikael, He, Wei, Heemskerk-Gerritsen, Bernadette AM, Hillemanns, Peter, Hogervorst, Frans BL, Hollestelle, Antoinette, Ho, Weang Kee, Hooning, Maartje J, Howell, Anthony, Humphreys, Keith, Idris, Faiza, and Jakubowska, Anna

Subjects
Risk, Adult, Adolescent, Breast Neoplasms, Medical and Health Sciences, Young Adult, General & Internal Medicine, Breast Cancer, Odds Ratio, 80 and over, Genetics, Humans, 2.1 Biological and endogenous factors, Genetic Predisposition to Disease, Aetiology, Aged, Cancer, Age Factors, Genetic Variation, DNA, Middle Aged, Logistic Models, Mutation, Breast Cancer Association Consortium, Female, Missense, Sequence Analysis
Abstract

BackgroundGenetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking.MethodsWe used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluated missense-variant associations according to domain and classification of pathogenicity.ResultsProtein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) were associated with a risk of breast cancer overall with a P value of less than 0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D, and TP53) were associated with a risk of breast cancer overall with a P value of less than 0.05 and a Bayesian false-discovery probability of less than 0.05. For protein-truncating variants in 19 of the remaining 25 genes, the upper limit of the 95% confidence interval of the odds ratio for breast cancer overall was less than 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios were higher for estrogen receptor (ER)-positive disease than for ER-negative disease; for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, and RAD51D, odds ratios were higher for ER-negative disease than for ER-positive disease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 were associated with a risk of breast cancer overall with a P value of less than 0.001. For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a risk of breast cancer overall, with the risk being similar to that of protein-truncating variants.ConclusionsThe results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling. (Funded by European Union Horizon 2020 programs and others.).

Published
2021

43. CSVS, a crowdsourcing database of the Spanish population genetic variability

Author

Peña-Chilet, María, Roldán Gema, Perez-Florido, Javier, Ortuño, Francisco M., Carmona, Rosario, Aquino, Virginia, Lopez-Lopez, Daniel, Loucera, Carlos, Fernandez-Rueda, Jose L., Gallego, Asunción, García-García, Francisco, González-Neira, Anna, Pita, Guillermo, Núñez-Torres, Rocío, Santoyo-López, Javier, Ayuso, Carmen, Minguez, Pablo, Avila-Fernandez, Almudena, Corton, Marta, Moreno-Pelayo, Miguel Ángel, Morin, Matías, Gallego-Martinez, Alvaro, Lopez-Escamez, Jose A., Borrego, Salud, Antiñolo, Guillermo, Amigo, Jorge, Salgado-Garrido, Josefa, Pasalodos-Sanchez, Sara, Morte, Beatriz, The Spanish Exome Crowdsourcing Consortium, Carracedo Álvarez, Ángel, Alonso, Ángel, Dopazo, Joaquín, Grinberg Vaisman, Daniel Raúl, [Peña-Chilet,M, Roldán,G, Perez-Florido,J, Ortuño,FM, Carmona,R, Aquino,V, Lopez-Lopez,D, Loucera,C, Fernandez-Rueda,JL, Dopazo,J] Clinical Bioinformatics Area, Fundacion Progreso y Salud (FPS), Hospital Virgen del Rocío, Sevilla, Spain. [Peña-Chilet,M, Dopazo,J] Bioinformatics in Rare Diseases (BiER), Center for Biomedical Network Research on Rare Diseases (CIBERER), ISCIII, Sevilla, Spain. [Peña-Chilet,M, Dopazo,J] Computational Systems Medicine group, Institute of Biomedicine of Seville (IBIS) Hospital Virgen del Rocío, Sevilla, Spain. [Perez-Florido,J, Dopazo,J] Functional Genomics Node, FPS/ELIXIR-ES, Hospital Virgen del Rocío, Sevilla, Spain. [Gallego,A] Sistemas Genomicos, Paterna, Valencia, Spain. [García-Garcia,F] Unidad de Bioinformatica y Bioestadística, Centro de Investigacion Príncipe Felipe (CIPF), Valencia, Spain. [González-Neira,A, Pita,G, Núñez-Torres,R] Human Genotyping Unit–Centro Nacional de Genotipado (CEGEN), Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain. [Santoyo-López,J] Edinburgh Genomics, The University of Edinburgh, Edinburgh, UK. [Ayuso,C, Minguez,P, Avila-Fernandez,A, Corton,M] Department of Genetics, Instituto de Investigacion Sanitaria-Fundación Jiménez Díaz University Hospital, Universidad Autonoma de Madrid (IIS-FJD, UAM), Madrid, Spain. [Minguez,P] Center for Biomedical Network Research on Rare Diseases (CIBERER), ISCIII, Madrid, Spain. [Moreno-Pelayo,MÁ, Morin,M] Servicio de Genetica, Ramón y Cajal Institute of Health Research (IRYCIS) and Biomedical Network Research Centre on Rare Diseases (CIBERER), Madrid, Spain, [Gallego-Martinez,A, Lopez-Escamez,JA] Otology & Neurotology Group CTS 495, Department of Genomic Medicine, Centre for Genomics and Oncological Research (GENYO), Pfizer University of Granada, Granada, Spain. [Gallego-Martinez,A, Lopez-Escamez,JA] Department of Otolaryngology, Instituto de Investigacion Biosanitaria, IBS. GRANADA, Hospital Universitario Virgen de las Nieves, Universidad de Granada, Granada, Spain. [Borrego,S, Antiñolo,G] Department of Maternofetal Medicine, Genetics and Reproduction, Institute of Biomedicine of Seville (IBIS), University Hospital Virgen del Rocío /CSIC/University of Seville, Seville, Spain. [Borrego,S, Antiñolo,G] Centre for Biomedical Network Research on Rare Diseases (CIBERER), Seville, Spain. [Amigo,J, Carracedo,Á] Fundacion Pública Galega de Medicina Xenómica, SERGAS, IDIS, Santiago de Compostela, Spain. [Salgado-Garrido,J, Pasalodos-Sanchez,S, Alonso,Á] Navarrabiomed-IdiSNA, Complejo Hospitalario de Navarra, Universidad Publica de Navarra (UPNA), IdiSNA (Navarra Institute for Health Research), Pamplona, Navarra, Spain. [Morte,B] Undiagnosed Rare Diseases Programme (ENoD). Center for Biomedical Research on Rare Diseases (CIBERER), ISCIII, Madrid, Spain. [Carracedo,Á] Grupo de Medicina Xenomica, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), CIMUS, Universidade de Santiago de Compostela, Santiago de Compostela, España., Spanish Ministry of Economy and Competitiveness [SAF2017-88908-R, PT17/0009/0006 to J.D., PI19/00321 and CIBERER ACCI-06/07/0036 to C.A., PI14-948, PI17-1659 and CIBERER ACCI-06/07/0036 to M.A.M.P.], Regional Government of Madrid, RAREGenomics CM [B2017/BMD-3721 to C.A. and B2017/BMD3721 to M.A.M.P.], all co-funded with European Regional Development Funds (ERDF) as well as EU H2020-INFRADEV-1-2015-1 ELIXIR-EXCELERATE [676559], University Chair UAM-IIS-FJD of Genomic Medicine and the Ramon Areces Foundation also supported this work. Funding for open access charge: Spanish Ministry of Economy and Competitiveness [SAF2017-88908-R]., Ministerio de Economía, Industria y Competitividad (España), Comunidad de Madrid, European Commission, Fundación Ramón Areces, Ministerio de Economía y Competitividad (España), Centro de Investigación Biomédica en Red Enfermedades Raras (España), and Universidad Autónoma de Madrid

Subjects
Genetics, population, Població, AcademicSubjects/SCI00010, computer.software_genre, Bases de dades, Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], 0302 clinical medicine, Gene Frequency, Genética de poblaciones, Databases, Genetic, Database Issue, Exome, Precision Medicine, 0303 health sciences, education.field_of_study, Database, Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Genetics::Genetics, Population [Medical Subject Headings], Chromosome Mapping, Genomics, Bases de datos genéticas, Phenomena and Processes::Genetic Phenomena::Genetic Structures::Genome::Genome, Human [Medical Subject Headings], 3. Good health, Databases, genetic, Information Science::Information Science::Data Collection::Crowdsourcing [Medical Subject Headings], Crowdsourcing, Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Genetics::Genomics [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Genetic Techniques::Chromosome Mapping::Physical Chromosome Mapping [Medical Subject Headings], Phenomena and Processes::Genetic Phenomena::Genetic Variation [Medical Subject Headings], Participación colectiva, Population, Proveïment participatiu, Biology, Variación genética, Phenomena and Processes::Genetic Phenomena::Genetic Structures::Genome::Exome [Medical Subject Headings], Genètica de poblacions humanes, 03 medical and health sciences, Databases, Information Science::Information Science::Information Storage and Retrieval::Databases as Topic::Databases, Factual::Databases, Genetic [Medical Subject Headings], Genetic variation, Genetics, Humans, Genetic variability, Espanya, education, Allele frequency, Alleles, Phenomena and Processes::Genetic Phenomena::Genetic Structures::Genome::Genome Components::Genes::Alleles [Medical Subject Headings], 030304 developmental biology, Geographical Locations::Geographic Locations::Europe::Spain [Medical Subject Headings], Internet, Genoma humà -- Espanya, business.industry, Genome, Human, Genetic Variation, Human population genetics, Gene frequency, Frecuencia génica, Genetics, Population, Spain, Personalized medicine, business, Phenomena and Processes::Genetic Phenomena::Gene Frequency [Medical Subject Headings], computer, 030217 neurology & neurosurgery, Imputation (genetics), Software
Abstract

The knowledge of the genetic variability of the local population is of utmost importance in personalized medicine and has been revealed as a critical factor for the discovery of new disease variants. Here, we present the Collaborative Spanish Variability Server (CSVS), which currently contains more than 2000 genomes and exomes of unrelated Spanish individuals. This database has been generated in a collaborative crowdsourcing effort collecting sequencing data produced by local genomic projects and for other purposes. Sequences have been grouped by ICD10 upper categories. A web interface allows querying the database removing one or more ICD10 categories. In this way, aggregated counts of allele frequencies of the pseudo-control Spanish population can be obtained for diseases belonging to the category removed. Interestingly, in addition to pseudo-control studies, some population studies can be made, as, for example, prevalence of pharmacogenomic variants, etc. In addition, this genomic data has been used to define the first Spanish Genome Reference Panel (SGRP1.0) for imputation. This is the first local repository of variability entirely produced by a crowdsourcing effort and constitutes an example for future initiatives to characterize local variabilityworldwide. CSVS is also part of the GA4GH Beacon network., Spanish Ministry of Economy and Competitiveness SAF2017-88908-R PT17/0009/0006 PI19/00321 CIBERER ACCI-06/07/0036 PI14-948 PI171659, Regional Government of Madrid, RAREGenomicsCM B2017/BMD3721 B2017/BMD-3721, European Union (EU), European Union (EU) 676559, University Chair UAM-IIS-FJD of Genomic Medicine, Ramon Areces Foundation

Published
2020
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44. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

Author

Milne, Roger L., Kuchenbaecker, Karoline B., Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindstrom, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K., McGuffog, Lesley, Wang, Qin, Aalfs, Cora M., Abctctb, Investigators, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittom, Kristiina Äki, Fares, Al Ejeh, Allen, Jamie, Ambrosone, Christine B., Amos, Christopher I., Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Arnold, Norbert, Aronson, Kristan J., Auber, Bernd, Auer, Paul L., Ausems, Margreet G.M., Azzollini, Jacopo, François, Bacot, Balma, Judith Nã, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B., Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W., Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves Jean, Blazer, Kathleen R., Blok, Marinus J., Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V., Bojesen, Anders, Bojesen, Stig E., Bonanni, Bernardo, Anne-Lise, Børresen Dale, Bozsik, Aniko, Bradbury, Angela R., Brand, Judith S., Brauch, Hiltrud, Brenner, Hermann, Brigitte, Bressac De Paillerets, Brewer, Carole, Brinton, Louise, Broberg, Per, Angela, Brooks Wilson, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S., Byun, Jinyoung, Cai, Qiuyin, Cald, Trinidad És, Caligo, Maria A., Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D., Esteban, Castelao, Castera, Laurent, Virginie, Caux Moncoutier, Chan, Salina B., Jenny, Chang Claude, Chanock, Stephen J., Chen, Xiaoqing, Cheng, Ting Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen B., Clarke, Christine L., Conner, Thomas, Conroy, Don M., Cook, Jackie, Cordina-Duverger, Emilie, Cornelissen, Sten, Coupier, Isabelle, Cox, Angela, Cox, David G., Cross, Simon S., Cuk, Katarina, Cunningham, J. M., Czene, Kamila, Daly, Mary B., Damiola, Francesca, Darabi, Hatef, Davidson, Rosemarie, Leeneer, Kim De L., Devilee, Peter, Dicks, Ed, Diez, Orland, Ding, Yuan Chun, Ditsch, Nina, Doheny, Kimberly F., Domchek, Susan M., Dorfling, Cecilia M., Dörk, Thilo, Dos-Santos-Silva, Isabel, Dubois, Stéphane, Dugué, Pierre Antoine, Dumont, Martine, Dunning, Alison M., Durcan, Lorraine, Dwek, Miriam, Dworniczak, Bernd, Eccles, Diana, Eeles, Ros, Ehrencrona, Hans, Eilber, Ursula, Ejlertsen, Bent, Ekici, Arif B., Eliassen, A. Heather, Engel, Christoph, Eriksson, Mikael, Fachal, Laura, Faivre, Laurence, Fasching, Peter A., Faust, Ulrike, Figueroa, Jonine, Flesch-Janys, Dieter, Fletcher, Olivia, Flyger, Henrik, Foulkes, William D., Friedman, Eitan, Fritschi, Lin, Frost, Debra, Gabrielson, Marike, Gaddam, Pragna, Gammon, Marilie D., Ganz, Patricia A., Gapstur, Susan M., Garber, Judy, Garcia-Barberan, Vanesa, Garciá-Saénz, José A., Gaudet, Mia M., Gauthier-Villars, Marion, Gehrig, Andrea, Georgoulias, Vassilios, Gerdes, Anne Marie, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goldberg, Mark S., Goldgar, David E., González-Neira, Anna, Goodfellow, Paul, Greene, Mark H., Grenaker, Grethe Alnæs I., Grip, Mervi, Gronwald, Jacek, Grundy, Anne, Gschwantler, Daphne Kaulich, Guénel, Pascal, Guo, Qi, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hallberg, Emily, Hamann, Ute, Hamel, Nathalie, Hankinson, Susan, Hansen, Thomas V., Harrington, Patricia, Hart, Steven N., Hartikainen, Jaana M., Healey, Catherine S., Hein, Alexander, Helbig, Sonja, Henderson, Alex, Heyworth, Jane, Hicks, Belynda, Hillemanns, Peter, Hodgson, Shirley, Hogervorst, Frans B., Hollestelle, Antoinette, Hooning, Maartje J., Hoover, Bob, Hopper, John L., Hu, Chunling, Huang, Guanmengqian, Hulick, Peter J., Humphreys, Keith, Hunter, David J., Imyanitov, Evgeny N., Isaacs, Claudine, Iwasaki, Motoki, Izatt, Louise, Jakubowska, Anna, James, Paul, Janavicius, Ramunas, Janni, Wolfgang, Jensen, Uffe Birk, John, Esther M., Johnson, Nichola, Jones, Kristine, Jones, Michael, Jukkola-Vuorinen, Arja, Kaaks, Rudolf, Kabisch, Maria, Kaczmarek, Katarzyna, Kang, Daehee, Kast, Karin, Keeman, Renske, Kerin, Michael J., Kets, Carolien M., Keupers, Mac Hteld, Khan, Sofia, Khusnutdinova, Elza, Kiiski, Johanna I., Kim, Sung Won, Knight, Julia A., Konstantopoulou, Irene, Kosma, Veli Matti, Kristensen, Vessela N., Kruse, Torben A., Kwong, Ava, Lænkholm, Anne Vibeke, Laitman, Yael, Lalloo, Fiona, Lambrechts, Diether, Landsman, Keren, Lasset, Christine, Lazaro, Conxi, Marchand, Loic Le, Lindström, Sara, Al-Ejeh, Fares, Margreet, G. M.Ausems, Bacot, François, Børresen-Dale, Anne Lise, Bressac-De, Brigitte Paillerets, Brooks-Wilson, Angela, Castelao, J. Esteban, Caux-Moncoutier, Virginie, Chang-Claude, Jenny, McLaes, Kathleen B., Leeneer, Kim De, Dieter, Flesch Janys, Gschwantler-Kaulich, Daphne, Keupers, MacHteld, Lecarpentier, Julie, Lee, Andrew, Lee, Eunjung, Won, Jong Lee, Lee, Min Hyuk, Lejbkowicz, Flavio, Lesueur, Fabienne, Li, Jingmei, Lilyquist, Jenna, Lincoln, Anne, Lindblom, Annika, Lissowska, Jolanta, Lo, Wing Yee, Loibl, Sibylle, Long, Jirong, Loud, Jennifer T., Lubinski, Jan, Luccarini, Craig, Lush, Michael, MacInnis, Robert J., Maishman, Tom, Makalic, Enes, Kostovska, Ivana Maleva, Malone, Kathleen E., Siranoush, Manoukian, Manson, Joann E., Margolin, Sara, Martens, John W., Martinez, Maria Elena, Matsuo, Keitaro, Mavroudis, Dimitrios, Mazoyer, Sylvie, McLean, Catriona, Meijers-Heijboer, Hanne, Menéndez, Primitiva, Meyer, Jeffery, Miao, Hui, Miller, Austin, Miller, Nicola, Mitchell, Gillian, Montagna, Marco, Muir, Kenneth, Mulligan, Anna Marie, Mulot, Claire, Nadesan, Sue, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Nevelsteen, Ines, Niederacher, Dieter, Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, Nussbaum, Robert L., Olah, Edith, Olopade, Olufunmilayo I., Olson, Janet E., Olswold, Curtis, Ong, Kai Ren, Oosterwijk, Jan C., Orr, Nick, Osorio, Ana, Pankratz, V. Shane, Papi, Laura, Park-Simon, Tjoung Won, Paulsson-Karlsson, Ylva, Lloyd, Rachel, Pedersen, Inge Søkilde, Peissel, Bernard, Peixoto, Ana, Perez, Jose I., Peterlongo, Paolo, Peto, Julian, Pfeiler, Georg, Phelan, Catherine M., Pinchev, Mila, Plaseska-Karanfilska, Dijana, Poppe, Bruce, Porteous, Mary E., Prentice, Ross, Presneau, Nadege, Prokofieva, Darya, Pugh, Elizabeth, Pujana, Miquel Angel, Pylkäs, Katri, Rack, Brigitte, Radice, Paolo, Rahman, Nazneen, Rantala, Johanna, Rappaport-Fuerhauser, Christine, Rennert, Gad, Rennert, Hedy S., Rhenius, Valerie, Rhiem, Kerstin, Richardson, Andrea, Rodriguez, Gustavo C., Romero, Atocha, Romm, Jane, Rookus, Matti A., Rudolph, Anja, Ruediger, Thomas, Saloustros, Emmanouil, Sanders, Joyce, Sandler, Dale P., Sangrajrang, Suleeporn, Sawyer, Elinor J., Schmidt, Daniel F., Schoemaker, Minouk J., Schumacher, Fredrick, Schürmann, Peter, Schwentner, Lukas, Scott, Christopher, Scott, Rodney J., Seal, Sheila, Senter, Leigha, Seynaeve, Caroline, Shah, Mitul, Sharma, Priyanka, Shen, Chen Yang, Sheng, Xin, Shimelis, Hermela, Shrubsole, Martha J., Shu, Xiao Ou, Side, Lucy E., Singer, Christian F., Sohn, Christof, Southey, Melissa C., Spinelli, John J., Spurdle, Amanda B., Stegmaier, Christa, Stoppa-Lyonnet, Dominique, Sukiennicki, Grzegorz, Surowy, Harald, Sutter, Christian, Swerdlow, Anthony, Szabo, Csilla I., Tamimi, Rulla M., Tan, Yen Y., Taylor, Jack A., Tejada, Maria Isabel, Tengström, Maria, Teo, Soo H., Terry, Mary B., Tessier, Daniel C., Teul, Alex E., Thöne, Kathrin, Thull, Darcy L., Tibiletti, Maria Grazia, Tihomirova, Laima, Tischkowitz, Marc, Toland, Amanda E., Tollenaar, Rob A.M., Tomlinson, Ian, Tong, Ling, Torres, Diana, Tranchant, Martine, Truong, Thérèse, Tucker, Kathy, Tung, Nadine, Tyrer, Jonathan, Ulmer, Hans Ulrich, Vachon, Celine, Christi, Van Asperen J., Den Berg, David Van, Ouweland, Ans M.Vanden, Rensburg, Elizabeth J., Varesco, Liliana, Varon-Mateeva, Raymonda, Vega, Ana, Viel, Alessandra, Vijai, Joseph, Vincent, Daniel, Vollenweider, Jason, Walker, Lisa, Wang, Zhaoming, Wang-Gohrke, Shan, Wappenschmidt, Barbara, Weinberg, Clarice R., Weitzel, Jeffrey N., Wendt, Camilla, Wesseling, Jelle, Whittemore, Alice S., Wijnen, Juul T., Willett, Walter, Winqvist, Robert, Wolk, Alicja, Wu, Anna H., Xia, Lucy, Yang, Xiaohong R., Yannoukakos, Drakoulis, Zaffaroni, Daniela, Zheng, Wei, Zhu, Bin, Ziogas, Argyrios, Ziv, Elad, Zorn, Kristin K., Gago-Dominguez, Manuela, Mannermaa, Arto, Olsson, Håkan, Teixeira, Manuel R., Stone, Jennifer, Offit, Kenneth, Ottini, Laura, Park, Sue K., Thomassen, Mads, Hall, Per, Meindl, Alfons, Schmutzler, Rita K., Droit, Arnaud, Bader, Gary D., Pharoah, Paul D., Couch, Fergus J., Easton, Douglas F., Kraft, Peter, Chenevix-Trench, Georgia, Garciá-Closas, Montserrat, Schmidt, Marjanka K., Antoniou, Antonis C., Simard, Jacques, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Targeted Gynaecologic Oncology (TARGON), Human Genetics, CCA - Cancer biology and immunology, Epidemiology and Data Science, Amsterdam Neuroscience - Complex Trait Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), Clinical Genetics, Medical Oncology, Internal Medicine, Obstetrics & Gynecology, MUMC+: DA KG Lab Centraal Lab (9), and RS: GROW - R4 - Reproductive and Perinatal Medicine

Subjects
0301 basic medicine, Oncology, Estrogen receptor, Genome-wide association study, consortium, Gene mutation, DISEASE, Breast cancer, Risk Factors, Receptors, common variants, BRCA2 MUTATION CARRIERS, Medicine and Health Sciences, CONFER SUSCEPTIBILITY, skin and connective tissue diseases, ovarian cancers, BRCA1 Protein, COMMON VARIANTS, Single Nucleotide, OVARIAN CANCERS, 3. Good health, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Receptors, Estrogen, functional variants, Female, estrogen receptor, SNPs, EXPRESSION, medicine.medical_specialty, Heterozygote, SUSCEPTIBILITY LOCI, European Continental Ancestry Group, Breast cancer, estrogen receptor, SNPs, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Polymorphism, Single Nucleotide, White People, Article, Càncer de mama, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, expression, medicine, Genetic predisposition, Genetics, Journal Article, Humans, Genetic Predisposition to Disease, ddc:610, Risk factor, Polymorphism, GENOME-WIDE ASSOCIATION, FUNCTIONAL VARIANTS, disease, CONSORTIUM, Case-control study, Biology and Life Sciences, medicine.disease, confer susceptibility, Estrogen, susceptibility loci, 030104 developmental biology, Mutation, genome-wide association, brca2 mutation carriers, Genome-Wide Association Study
Abstract

Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease1. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10−8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.

Published
2017
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45. 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, Australian Ovarian Cancer Study Group, 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, Zheng, Wei, Hunter, David J, Lindstrom, Sara, Hankinson, Susan E, Kraft, Peter, Andrulis, Irene, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Jukkola-Vuorinen, Arja, Grip, Mervi, Kauppila, Saila, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Hollestelle, Antoinette, Garcia-Closas, Montserrat, Figueroa, Jonine, Chanock, Stephen J, Lissowska, Jolanta, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Eccles, Diana M, Rafiq, Sajjad, Tapper, William J, Gerty, Sue M, Hooning, Maartje J, Martens, John WM, Collée, J Margriet, Tilanus-Linthorst, Madeleine, Hall, Per, Li, Jingmei, Brand, Judith S, Humphreys, Keith, Cox, Angela, Reed, Malcolm WR, Luccarini, Craig, Baynes, Caroline, Dunning, Alison M, Hamann, Ute, Torres, Diana, Ulmer, Hans Ulrich, Rüdiger, Thomas, Jakubowska, Anna, Lubinski, Jan, Jaworska, Katarzyna, Durda, Katarzyna, Slager, Susan, Toland, Amanda E, Ambrosone, Christine B, Yannoukakos, Drakoulis, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Jones, Michael, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Álvarez, Nuria, Herrero, Daniel, Tessier, Daniel C, Vincent, Daniel, Bacot, Francois, Simard, Jacques, Dumont, Martine, Soucy, Penny, Eeles, Rosalind, Muir, Kenneth, Wiklund, Fredrik, Gronberg, Henrik, Schleutker, Johanna, Nordestgaard, Børge G, Weischer, Maren, Travis, Ruth C, Neal, David, Donovan, Jenny L, Hamdy, Freddie C, Khaw, Kay-Tee, Stanford, Janet L, Blot, William J, Thibodeau, Stephen, Schaid, Daniel J, Kelley, Joseph L, Maier, Christiane, Kibel, Adam S, Cybulski, Cezary, Cannon-Albright, Lisa, Butterbach, Katja, Park, Jong, Kaneva, Radka, Batra, Jyotsna, Teixeira, Manuel R, Kote-Jarai, Zsofia, Olama, Ali Amin Al, Benlloch, Sara, Renner, Stefan P, Hartmann, Arndt, Hein, Alexander, Ruebner, Matthias, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Lambretchs, Sandrina, Doherty, Jennifer A, Rossing, Mary Anne, Nickels, Stefan, Eilber, Ursula, Wang-Gohrke, Shan, Odunsi, Kunle, Sucheston-Campbell, Lara E, Friel, Grace, Lurie, Galina, Killeen, Jeffrey L, Wilkens, Lynne R, Goodman, Marc T, Runnebaum, Ingo, Hillemanns, Peter A, Pelttari, Liisa M, Butzow, Ralf, Modugno, Francesmary, Edwards, Robert P, Ness, Roberta B, Moysich, Kirsten B, du Bois, Andreas, Heitz, Florian, Harter, Philipp, Kommoss, Stefan, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Jensen, Allan, Kjaer, Susanne Krüger, Høgdall, Estrid, Peissel, Bernard, Bonanni, Bernardo, Bernard, Loris, Goode, Ellen L, Fridley, Brooke L, Vierkant, Robert A, Cunningham, Julie M, Larson, Melissa C, Fogarty, Zachary C, Kalli, Kimberly R, Liang, Dong, Lu, Karen H, Hildebrandt, Michelle AT, Wu, Xifeng, Levine, Douglas A, Dao, Fanny, Bisogna, Maria, Berchuck, Andrew, Iversen, Edwin S, Marks, Jeffrey R, Akushevich, Lucy, Cramer, Daniel W, Schildkraut, Joellen, Terry, Kathryn L, Poole, Elizabeth M, Stampfer, Meir, Tworoger, Shelley S, Bandera, Elisa V, Orlow, Irene, Olson, Sara H, Bjorge, Line, Salvesen, Helga B, van Altena, Anne M, Aben, Katja KH, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bean, Yukie, Brooks-Wilson, Angela, Kelemen, Linda E, Cook, Linda S, Le, Nhu D, Górski, Bohdan, Gronwald, Jacek, Menkiszak, Janusz, Høgdall, Claus K, Lundvall, Lene, Nedergaard, Lotte, Engelholm, Svend Aage, Dicks, Ed, Tyrer, Jonathan, Campbell, Ian, McNeish, Iain, Paul, James, Siddiqui, Nadeem, Glasspool, Rosalind, Whittemore, Alice S, Rothstein, Joseph H, McGuire, Valerie, Sieh, Weiva, Cai, Hui, Shu, Xiao-Ou, Teten, Rachel T, Sutphen, Rebecca, McLaughlin, John R, Narod, Steven A, Phelan, Catherine M, Monteiro, Alvaro N, Fenstermacher, David, Lin, Hui-Yi, Permuth, Jennifer B, Sellers, Thomas A, Chen, Y Ann, Tsai, Ya-Yu, Chen, Zhihua, Gentry-Maharaj, Aleksandra, Gayther, Simon A, Ramus, Susan J, Menon, Usha, Wu, Anna H, Pearce, Celeste L, Van Den Berg, David, Pike, Malcolm C, Dansonka-Mieszkowska, Agnieszka, Plisiecka-Halasa, Joanna, Moes-Sosnowska, Joanna, Kupryjanczyk, Jolanta, Pharoah, Paul Dp, Song, Honglin, Winship, Ingrid, Chenevix-Trench, Georgia, Giles, Graham G, Tavtigian, Sean V, Easton, Doug F, Milne, Roger L, Clinical Genetics, Neurology, Medical Oncology, Surgery, Erasmus MC other, Clinicum, Department of Obstetrics and Gynecology, Medicum, Kristiina Aittomäki / Principal Investigator, Department of Medical and Clinical Genetics, Department of Oncology, Department of Pathology, HUS Gynecology and Obstetrics, Tischkowitz, Marc [0000-0002-7880-0628], Dennis, Joe [0000-0003-4591-1214], Dunning, Alison [0000-0001-6651-7166], Khaw, Kay-Tee [0000-0002-8802-2903], Amin Al Olama, Ali [0000-0002-7178-3431], Dicks, Ed [0000-0002-0617-0401], Tyrer, Jonathan [0000-0003-3724-4757], Pharoah, Paul [0000-0001-8494-732X], Song, Honglin [0000-0001-5076-7371], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Oncology, Male, Ataxia Telangiectasia Mutated Proteins, prostate-cancer, Prostate cancer, 0302 clinical medicine, brca1, Medizinische Fakultät, Medicine and Health Sciences, skin and connective tissue diseases, Genetics (clinical), Ovarian Neoplasms, education.field_of_study, brca2-interacting protein, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], 1184 Genetics, developmental biology, physiology, Nuclear Proteins, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], 3. Good health, PROSTATE-CANCER, Cancer: prostate, Multicenter Study, ovarian-cancer, Centre for Surgical Research, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, ovary [Cancer], Female, Fanconi Anemia Complementation Group N Protein, metaanalysis, Risk, medicine.medical_specialty, SUSCEPTIBILITY LOCI, Population, 3122 Cancers, cancer predisposition, Breast Neoplasms, OVARIAN-CANCER, BRCA2-INTERACTING PROTEIN, Cancer: ovary, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, prostate [Cancer], medicine, Cancer Genetics, Genetics, Journal Article, breast [Cancer], BREAST-CANCER, Humans, Genetic Predisposition to Disease, ddc:610, education, gene, CHEK2, FAMILY REGISTRY, METAANALYSIS, breast-cancer, Genetic Association Studies, business.industry, MUTATIONS, Cancer: breast, Tumor Suppressor Proteins, Case-control study, Cancer, Prostatic Neoplasms, medicine.disease, BRCA1, mutations, GENE, susceptibility loci, Checkpoint Kinase 2, 030104 developmental biology, Relative risk, Case-Control Studies, Mutation, family registry, Ovarian cancer, business
Abstract

Background: The 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.Methods: We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2c.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.Results: For 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.Conclusions: This 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
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46. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus

Author

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

Subjects
Heredity, Histology, Genotype, Quantitative Trait Loci, Variant Genotypes, Breast Neoplasms, Research and Analysis Methods, Polymorphism, Single Nucleotide, Risk Assessment, Linkage Disequilibrium, Database and Informatics Methods, Gene Frequency, SDG 3 - Good Health and Well-being, Medizinische Fakultät, Breast Tumors, Breast Cancer, Medicine and Health Sciences, Genetics, Genome-Wide Association Studies, Ethnicities, Humans, Genetic Predisposition to Disease, ddc:610, Alleles, Genetic Association Studies, Cancers and Neoplasms, Biology and Life Sciences, Computational Biology, Chromosome Mapping, Human Genetics, Genomics, Genomic Databases, Genome Analysis, Genetic Mapping, Biological Databases, Oncology, Genetic Loci, Chromosomes, Human, Pair 1, Case-Control Studies, Population Surveillance, People and Places, Population Groupings, Female, Anatomy, Neoplasm Grading, Research Article, Africans
Abstract

The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity Pâ ¤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive. ispartof: PLoS One vol:11 issue:8 ispartof: location:United States status: published

Published
2016

47. Common non-synonymous snps associated with breast cancer susceptibility: findings from the breast cancer association consortium

Author

Milne, Roger L., Burwinkel, Barbara, Michailidou, Kyriaki, Arias-Perez, Jose-Ignacio, Zamora, M. Pilar, Menéndez-Rodríguez, Primitiva, Hardisson, David, Mendiola, Marta, González-Neira, Anna, Pita, Guillermo, Alonso, M. Rosario, Dennis, Joe, Wang, Qin, Bolla, Manjeet K., Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Schoemaker, Minouk, Ko, Yon-Dschun, Brauch, Hiltrud, Hamann, Ute, Andrulis, Irene L., Knight, Julia A., Glendon, Gord, Tchatchou, Sandrine, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Tajima, Kazuo, Li, Jingmei, Brand, Judith S., Brenner, Hermann, Dieffenbach, Aida Karina, 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 J., Lissowska, Jolanta, Figueroa, Jonine D., Bojesen, Stig E., Nordestgaard, Børge G., Flyger, Henrik, Hooning, Maartje J., Kriege, Mieke, van den Ouweland, Ans M.W., Koppert, Linetta B., Fletcher, Olivia, Johnson, Nichola, dos-Santos-Silva, Isabel, Peto, Julian, Zheng, Wei, Deming-Halverson, Sandra, Shrubsole, Martha J., 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 S., Reed, Malcolm W.R., Schmidt, Marjanka K., Broeks, Annegien, Cornelissen, Sten, Braaf, Linde, Kang, Daehee, Choi, Ji-Yeob, Park, Sue K., Noh, Dong-Young, Simard, Jacques, Dumont, Martine, Goldberg, Mark S., Labrèche, France, Fasching, Peter A., Hein, Alexander, Ekici, Arif B., Beckmann, Matthias W., Radice, Paolo, Peterlongo, Paolo, Azzollini, Jacopo, Barile, Monica, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Hopper, John L., Schmidt, Daniel F., Makalic, Enes, Southey, Melissa C., Hwang Teo, Soo, Har Yip, Cheng, Sivanandan, Kavitta, Tay, Wan-Ting, Shen, Chen-Yang, Hsiung, Chia-Ni, Yu, Jyh-Cherng, Hou, Ming-Feng, Guénel, Pascal, Truong, Therese, Sanchez, Marie, Mulot, Claire, Blot, William, Cai, Qiuyin, Nevanlinna, Heli, Muranen, Taru A., Aittomäki, Kristiina, Blomqvist, Carl, Wu, Anna H., Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel O., Bogdanova, Natalia, Dörk, Thilo, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M., Shu, Xiao-Ou, Lu, Wei, Gao, Yu-Tang, Zhang, Ben, Couch, Fergus J., Toland, Amanda E., Yannoukakos, Drakoulis, Sangrajrang, Suleeporn, McKay, James, Wang, Xianshu, Olson, Janet E., Vachon, Celine, Purrington, Kristen, Severi, Gianluca, Baglietto, Laura, Haiman, Christopher A., Henderson, Brian E., Schumacher, Fredrick, Le Marchand, Loic, Devilee, Peter, Tollenaar, Robert A.E.M., Seynaeve, Caroline, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Ahmed, Shahana, Shah, Mitul, Pharoah, Paul D.P., Hall, Per, Giles, Graham G., Benítez, Javier, Dunning, Alison M., Chenevix-Trench, Georgia, Easton, Douglas F., Berchuck, Andrew, Eeles, Rosalind A., Olama, Ali Amin Al, Kote-Jarai, Zsofia, Benlloch, Sara, Antoniou, Antonis, McGuffog, Lesley, Offit, Ken, Lee, Andrew, Dicks, Ed, Luccarini, Craig, Tessier, Daniel C., Bacot, Francois, Vincent, Daniel, LaBoissière, Sylvie, Robidoux, Frederic, Nielsen, Sune F., Cunningham, Julie M., Windebank, Sharon A., Hilker, Christopher A., Meyer, Jeffrey, Angelakos, Maggie, Maskiell, Judi, van der Schoot, Ellen, Rutgers, Emiel, Verhoef, Senno, Hogervorst, Frans, Boonyawongviroj, Prat, Siriwanarungsan, Pornthep, Schrauder, Michael, Rübner, Matthias, Oeser, Sonja, Landrith, Silke, Williams, Eileen, Ryder-Mills, Elaine, Sargus, Kara, McInerney, Niall, Colleran, Gabrielle, Rowan, Andrew, Jones, Angela, Sohn, Christof, Schneeweiß, Andeas, Álvarez, Núria, Lacey, James, Wang, Sophia, Ma, Huiyan, Lu, Yani, Deapen, Dennis, Pinder, Rich, Lee, Eunjung, Schumacher, Fred, Horn-Ross, Pam, Reynolds, Peggy, Nelson, David, Ziegler, Hartwig, Wolf, Sonja, Hermann, Volker, Lo, Wing-Yee, Justenhoven, Christina, Baisch, Christian, Fischer, Hans-Peter, Brüning, Thomas, Pesch, Beate, Rabstein, Sylvia, Lotz, Anne, Harth, Volker, Heikkinen, Tuomas, Erkkilä, Irja, Aaltonen, Kirsimari, von Smitten, Karl, Antonenkova, Natalia, Hillemanns, Peter, Christiansen, Hans, Myöhänen, Eija, Kemiläinen, Helena, Thorne, Heather, Niedermayr, Eveline, Bowtell, D, Chenevix-Trench, G, deFazio, A, Gertig, D, Green, A, Webb, P, Green, A., Parsons, P., Hayward, N., Webb, P., Whiteman, D., Fung, Annie, Yashiki, June, Smeets, Dominiek, Brussel, Thomas Van, Corthouts, Kathleen, Obi, Nadia, Heinz, Judith, Behrens, Sabine, Eilber, Ursula, Celik, Muhabbet, Olchers, Til, Manoukian, Siranoush, Peissel, Bernard, Scuvera, Giulietta, Zaffaroni, Daniela, Bonanni, Bernardo, Feroce, Irene, Maniscalco, Angela, Rossi, Alessandra, Bernard, Loris, Tranchant, Martine, Valois, Marie-France, Turgeon, Annie, Heguy, Lea, Sze Yee, Phuah, Kang, Peter, Nee, Kang In, Mariapun, Shivaani, Sook-Yee, Yoon, Lee, Daphne, Ching, Teh Yew, Taib, Nur Aishah Mohd, Otsukka, Meeri, Mononen, Kari, Selander, Teresa, Weerasooriya, Nayana, staff, OFBCR, Krol-Warmerdam, E., Molenaar, J., Blom, J., Brinton, Louise, Szeszenia-Dabrowska, Neonila, Peplonska, Beata, Zatonski, Witold, Chao, Pei, Stagner, Michael, Bos, Petra, Blom, Jannet, Crepin, Ellen, Nieuwlaat, Anja, Heemskerk, Annette, Higham, Sue, Cross, Simon, Cramp, Helen, Connley, Dan, Balasubramanian, Sabapathy, Brock, Ian, Conroy, Don, Baynes, Caroline, and Chua, Kimberley

Subjects
Adult, A Kinase Anchor Proteins, Alleles, Ataxin-7, Breast Neoplasms, Case-Control Studies, Cytoskeletal Proteins, Female, Genome-Wide Association Study, Humans, Middle Aged, Nerve Tissue Proteins, Protein-Serine-Threonine Kinases, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Molecular Biology, Genetics, Genetics (clinical), Protein Serine-Threonine Kinases, Medizinische Fakultät, NIMA-Related Kinases, ddc:610, Polymorphism, risk, variants, Association Studies Articles, identifies 2, Single Nucleotide, confer susceptibility, 5p12, loci, alleles, genome-wide association, metaanalysis
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

48. Identification of a BRCA2-Specific Modifier Locus at 6p24 Related to Breast Cancer Risk

Author

Gaudet, Mia M., Kuchenbaecker, Karoline B., Vijai, Joseph, Klein, Robert J., Kirchhoff, Tomas, McGuffog, Lesley, Barrowdale, Daniel, Dunning, Alison M., Lee, Andrew, Dennis, Joe, Healey, Sue, Dicks, Ed, Soucy, Penny, Sinilnikova, Olga M., Pankratz, Vernon S., Wang, Xianshu, Eldridge, Ronald C., Tessier, Daniel C., Vincent, Daniel, Bacot, Francois, Hogervorst, Frans B.L., Peock, Susan, Stoppa-Lyonnet, Dominique, Coulet, Florence, Colas, Chrystelle, Soubrier, Florent, Peterlongo, Paolo, Schmutzler, Rita K., Nathanson, Katherine L., Piedmonte, Marion, Singer, Christian F., Thomassen, Mads, Sokolowska, Johanna, Bronner, Myriam, Hansen, Thomas V.O., Neuhausen, Susan L., Blanco, Ignacio, Greene, Mark H., Garber, Judith, Weitzel, Jeffrey N., Andrulis, Irene L., Goldgar, David E., D'Andrea, Emma, Caldes, Trinidad, Nevanlinna, Heli, Osorio, Ana, van Rensburg, Elizabeth J., Arason, Adalgeir, Rennert, Gad, van den Ouweland, Ans M.W., van der Hout, Annemarie H., Kets, Carolien M., Aalfs, Cora M., Wijnen, Juul T., Ausems, Margreet G.E.M., Frost, Debra, Ellis, Steve, Fineberg, Elena, Platte, Radka, Evans, D. Gareth, Jacobs, Chris, Adlard, Julian, Tischkowitz, Marc, Porteous, Mary, Damiola, Francesca, Golmard, Lisa, Barjhoux, Laure, Longy, Michel, Belotti, Muriel, Ferrer, Sandra Fert, Mazoyer, Sylvie, Spurdle, Amanda B., Manoukian, Siranoush, Barile, Monica, Genuardi, Maurizio, Arnold, Norbert, Meindl, Alfons, Sutter, Christian, Wappenschmidt, Barbara, Domchek, Susan M., Pfeiler, Georg, Friedman, Eitan, Jensen, Uffe Birk, Robson, Mark, Shah, Sohela, Lazaro, Conxi, Mai, Phuong L., Benitez, Javier, Southey, Melissa C., Schmidt, M. K., Fasching, Peter A., Peto, Julian, Humphreys, Manjeet K., Wang, Qin, Michailidou, Kyriaki, Sawyer, Elinor J., Burwinkel, Barbara, Guénel, Pascal, Bojesen, Stig E., Milne, Roger L., Brenner, Hermann, Lochmann, Magdalena, Brauch, Hiltrud, Ko, Yon Dschun, Baisch, Christian, Fischer, Hand Peter, Bruening, Thomas, Pesch, Beate, Rabstein, Sylvia, Spickenheuer, Anne, Aittomäki, Kristiina, Dörk, Thilo, Margolin, Sara, Mannermaa, Arto, Lambrechts, Diether, Chang-Claude, Jenny, Radice, Paolo, Giles, Graham G., Haiman, Christopher A., Winqvist, Robert, Devillee, Peter, García-Closas, Montserrat, Schoof, Nils, Hooning, M. J., Cox, Angela, Pharoah, Paul D.P., Jakubowska, Anna, Orr, Nick, González-Neira, Anna, Pita, Guillermo, Alonso, M. Rosario, Hall, Per, Couch, Fergus J., Simard, Jacques, Altshuler, David, Easton, Douglas F., Chenevix-Trench, Georgia, Antoniou, Antonis C., Offit, Kenneth, Rookus, M. A., van Leeuwen, F. E., Verhoef, S., de Lange, J. L., Collée, J. M., Seynaeve, C., van Deurzen, C. H.M., van Asperen, C. J., Tollenaar, R. A., Devilee, P., van Cronenburg, T. C.T.E.F., Mensenkamp, A. R., van der Luijt, R. B., van Os, T. A.M., Gille, J. J.P., Waisfisz, Q., Meijers-Heijboer, H. E.J., Gómez-Garcia, E. B., Blok, M. J., Oosterwijk, J. C., Mourits, M. J., de Bock, G. H., Vasen, H. F., Miedzybrodzka, Zosia, Gregory, Helen, Morrison, Patrick, Jeffers, Lisa, Cole, Trevor, Ong, Kai ren, Hoffman, Jonathan, Donaldson, Alan, James, Margaret, Paterson, Joan, Taylor, Amy, Murray, Alexandra, Rogers, Mark T., McCann, Emma, Kennedy, M. John, Barton, David, Drummond, Sarah, Brewer, Carole, Kivuva, Emma, Searle, Anne, Goodman, Selina, Hill, Kathryn, Davidson, Rosemarie, Murday, Victoria, Bradshaw, Nicola, Snadden, Lesley, Longmuir, Mark, Watt, Catherine, Gibson, Sarah, Haque, Eshika, Tobias, Ed, Duncan, Alexis, Izatt, Louise, Langman, Caroline, Brady, Angela, Dorkins, Huw, Melville, Athalie, Randhawa, Kashmir, Barwell, Julian, Serra-Feliu, Gemma, Ellis, Ian, Houghton, Catherine, Lalloo, Fiona, Taylor, Jane, Side, Lucy, Male, Alison, Berlin, Cheryl, Eason, Jacqueline, Douglas, Fiona, Claber, Oonagh, Collier, Rebecca, Jobson, Irene, Walker, Lisa, McLeod, Diane, Durell, Sarah, Stayner, Barbara, Eeles, Rosalind A., Shanley, Susan, Rahman, Nazneen, Houlston, Richard, Bancroft, Elizabeth, Page, Elizabeth, Ardern-Jones, Audrey, Kohut, Kelly, Wiggins, Jennifer, Castro, Elena, Killick, Emma, Martin, Sue, Rea, Gillian, Kulkarni, Anjana, Cook, Jackie, Quarrell, Oliver, Bardsley, Cathryn, Hodgson, Shirley, Goff, Sheila, Brice, Glen, Winchester, Lizzie, Eddy, Charlotte, Tripathi, Vishakha, Attard, Virginia, Lehmann, Anna, Eccles, Diana, Lucassen, Anneke, Crawford, Gillian, McBride, Donna, Smalley, Sarah, Sinilnikova, Olga, Verny-Pierre, Carole, Giraud, Sophie, Léone, Mélanie, Gauthier-Villars, Marion, Buecher, Bruno, Houdayer, Claude, Moncoutier, Virginie, Tirapo, Carole, de Pauw, Antoine, Bressac-de-Paillerets, Brigitte, Caron, Olivier, Bignon, Yves Jean, Uhrhammer, Nancy, Lasset, Christine, Bonadona, Valérie, Handallou, Sandrine, Hardouin, Agnés, Berthet, Pascaline, Sobol, Hagay, Bourdon, Violaine, Noguchi, Tetsuro, Remenieras, Audrey, Coupier, Isabelle, Pujol, Pascal, Peyrat, Jean Philippe, Fournier, Joëlle, Révillion, Françoise, Vennin, Philippe, Adenis, Claude, Rouleau, Etienne, Lidereau, Rosette, Demange, Liliane, Nogues, Catherine, Muller, Danièle, Fricker, Jean Pierre, Barouk-Simonet, Emmanuelle, Bonnet, Françoise, Bubien, Virginie, Sevenet, Nicolas, Toulas, Christine, Guimbaud, Rosine, Gladieff, Laurence, Feillel, Viviane, Dreyfus, Hélène, Rebischung, Christine, Peysselon, Magalie, Coron, Fanny, Faivre, Laurence, Prieur, Fabienne, Lebrun, Marine, Kientz, Caroline, Frénay, Marc, Vénat-Bouvet, Laurence, Delnatte, Capucine, Mortemousque, Isabelle, Lynch, Henry T., Snyder, Carrie L., Clinical Genetics, Medical Oncology, Human Genetics, Human genetics, EMGO - Quality of care, Anesthesiology, CCA - Oncogenesis, CCA - Cancer biology and immunology, Epidemiology and Data Science, Department of Obstetrics and Gynecology, Clinicum, and Department of Medical and Clinical Genetics

Subjects
Cancer Research, SUSCEPTIBILITY ALLELES, Genome-wide association study, Aetiology, screening and detection [ONCOL 5], QH426-470, Settore MED/03 - GENETICA MEDICA, Genoma humà, SUBTYPES, Breast cancer, 0302 clinical medicine, Risk Factors, CDKN2A, Genotype, BRCA2 MUTATION CARRIERS, Malalties hereditàries, GWAS, skin and connective tissue diseases, Genetics (clinical), POPULATION, 2. Zero hunger, Genetics, 0303 health sciences, education.field_of_study, BRCA1 Protein, COMMON VARIANTS, genetic modifiers, BRCA2, cancer risk, Middle Aged, 3. Good health, 030220 oncology & carcinogenesis, Chromosomes, Human, Pair 6, Female, Genetic diseases, Adult, Heterozygote, Medizinische Fakultät -ohne weitere Spezifikation, education, Population, Breast Neoplasms, Single-nucleotide polymorphism, Locus (genetics), Human chromosomes, Biology, Polymorphism, Single Nucleotide, OVARIAN-CANCER, BRCA2-specific modifier locus at 6p24, Càncer de mama, 03 medical and health sciences, TRANSCRIPTION FACTOR AP-2, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, ddc:610, Allele, GENOME-WIDE ASSOCIATION, Molecular Biology, Alleles, Ecology, Evolution, Behavior and Systematics, Aged, 030304 developmental biology, BRCA2 Protein, Cromosomes humans, Human genome, Hereditary cancer and cancer-related syndromes [ONCOL 1], CONSORTIUM, medicine.disease, Mutation, 3111 Biomedicine, ZNF365, Genome-Wide Association Study
Abstract

Contains fulltext : 118578.pdf (Publisher’s version ) (Open Access) Common genetic variants contribute to the observed variation in breast cancer risk for BRCA2 mutation carriers; those known to date have all been found through population-based genome-wide association studies (GWAS). To comprehensively identify breast cancer risk modifying loci for BRCA2 mutation carriers, we conducted a deep replication of an ongoing GWAS discovery study. Using the ranked P-values of the breast cancer associations with the imputed genotype of 1.4 M SNPs, 19,029 SNPs were selected and designed for inclusion on a custom Illumina array that included a total of 211,155 SNPs as part of a multi-consortial project. DNA samples from 3,881 breast cancer affected and 4,330 unaffected BRCA2 mutation carriers from 47 studies belonging to the Consortium of Investigators of Modifiers of BRCA1/2 were genotyped and available for analysis. We replicated previously reported breast cancer susceptibility alleles in these BRCA2 mutation carriers and for several regions (including FGFR2, MAP3K1, CDKN2A/B, and PTHLH) identified SNPs that have stronger evidence of association than those previously published. We also identified a novel susceptibility allele at 6p24 that was inversely associated with risk in BRCA2 mutation carriers (rs9348512; per allele HR = 0.85, 95% CI 0.80-0.90, P = 3.9x10(-8)). This SNP was not associated with breast cancer risk either in the general population or in BRCA1 mutation carriers. The locus lies within a region containing TFAP2A, which encodes a transcriptional activation protein that interacts with several tumor suppressor genes. This report identifies the first breast cancer risk locus specific to a BRCA2 mutation background. This comprehensive update of novel and previously reported breast cancer susceptibility loci contributes to the establishment of a panel of SNPs that modify breast cancer risk in BRCA2 mutation carriers. This panel may have clinical utility for women with BRCA2 mutations weighing options for medical prevention of breast cancer.

Published
2013
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49. Genetic Variation in the TP53 Pathway and Bladder Cancer Risk. A Comprehensive Analysis.

Author

Pineda, Silvia, Milne, Roger L., Calle, M. Luz, Rothman, Nathaniel, López de Maturana, Evangelina, Herranz, Jesús, Kogevinas, Manolis, Chanock, Stephen J., Tardón, Adonina, Márquez, Mirari, Guey, Lin T., García-Closas, Montserrat, Lloreta, Josep, Baum, Erin, González-Neira, Anna, Carrato, Alfredo, Navarro, Arcadi, Silverman, Debra T., Real, Francisco X., and Malats, Núria

Subjects
HUMAN genetic variation, BLADDER cancer risk factors, GERM cells, GENETIC epidemiology, GENITOURINARY organ cancer, HUMAN genetics
Abstract

Introduction: Germline variants in TP63 have been consistently associated with several tumors, including bladder cancer, indicating the importance of TP53 pathway in cancer genetic susceptibility. However, variants in other related genes, including TP53 rs1042522 (Arg72Pro), still present controversial results. We carried out an in depth assessment of associations between common germline variants in the TP53 pathway and bladder cancer risk. Material and Methods: We investigated 184 tagSNPs from 18 genes in 1,058 cases and 1,138 controls from the Spanish Bladder Cancer/EPICURO Study. Cases were newly-diagnosed bladder cancer patients during 1998–2001. Hospital controls were age-gender, and area matched to cases. SNPs were genotyped in blood DNA using Illumina Golden Gate and TaqMan assays. Cases were subphenotyped according to stage/grade and tumor p53 expression. We applied classical tests to assess individual SNP associations and the Least Absolute Shrinkage and Selection Operator (LASSO)-penalized logistic regression analysis to assess multiple SNPs simultaneously. Results: Based on classical analyses, SNPs in BAK1 (1), IGF1R (5), P53AIP1 (1), PMAIP1 (2), SERINPB5 (3), TP63 (3), and TP73 (1) showed significant associations at p-value≤0.05. However, no evidence of association, either with overall risk or with specific disease subtypes, was observed after correction for multiple testing (p-value≥0.8). LASSO selected the SNP rs6567355 in SERPINB5 with 83% of reproducibility. This SNP provided an OR = 1.21, 95%CI 1.05–1.38, p-value = 0.006, and a corrected p-value = 0.5 when controlling for over-estimation. Discussion: We found no strong evidence that common variants in the TP53 pathway are associated with bladder cancer susceptibility. Our study suggests that it is unlikely that TP53 Arg72Pro is implicated in the UCB in white Europeans. SERPINB5 and TP63 variation deserve further exploration in extended studies. [ABSTRACT FROM AUTHOR]

Published
2014
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50. Application of Multi-SNP Approaches Bayesian LASSO and AUC-RF to Detect Main Effects of Inflammatory-Gene Variants Associated with Bladder Cancer Risk.

Author

de Maturana, Evangelina López, Ye, Yuanqing, Calle, M. Luz, Rothman, Nathaniel, Urrea, Víctor, Kogevinas, Manolis, Petrus, Sandra, Chanock, Stephen J., Tardón, Adonina, García-Closas, Montserrat, González-Neira, Anna, Vellalta, Gemma, Carrato, Alfredo, Navarro, Arcadi, Lorente-Galdós, Belén, Silverman, Debra T., Real, Francisco X., Wu, Xifeng, and Malats, Núria

Subjects
BLADDER cancer risk factors, SINGLE nucleotide polymorphisms, COMPUTATIONAL biology, BIOMETRY, GENITOURINARY organ cancer, LOGISTIC regression analysis
Abstract

The relationship between inflammation and cancer is well established in several tumor types, including bladder cancer. We performed an association study between 886 inflammatory-gene variants and bladder cancer risk in 1,047 cases and 988 controls from the Spanish Bladder Cancer (SBC)/EPICURO Study. A preliminary exploration with the widely used univariate logistic regression approach did not identify any significant SNP after correcting for multiple testing. We further applied two more comprehensive methods to capture the complexity of bladder cancer genetic susceptibility: Bayesian Threshold LASSO (BTL), a regularized regression method, and AUC-Random Forest, a machine-learning algorithm. Both approaches explore the joint effect of markers. BTL analysis identified a signature of 37 SNPs in 34 genes showing an association with bladder cancer. AUC-RF detected an optimal predictive subset of 56 SNPs. 13 SNPs were identified by both methods in the total population. Using resources from the Texas Bladder Cancer study we were able to replicate 30% of the SNPs assessed. The associations between inflammatory SNPs and bladder cancer were reexamined among non-smokers to eliminate the effect of tobacco, one of the strongest and most prevalent environmental risk factor for this tumor. A 9 SNP-signature was detected by BTL. Here we report, for the first time, a set of SNP in inflammatory genes jointly associated with bladder cancer risk. These results highlight the importance of the complex structure of genetic susceptibility associated with cancer risk. [ABSTRACT FROM AUTHOR]

Published
2013
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