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2,073 results on '"Lissowska, Jolanta"'

1. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships

Author

Johan Ohlander, Hans Kromhout, Roel Vermeulen, Lützen Portengen, Benjamin Kendzia, Barbara Savary, Domenico Cavallo, Andrea Cattaneo, Enrica Migliori, Lorenzo Richiardi, Nils Plato, Heinz-Erich Wichmann, Stefan Karrasch, Dario Consonni, Maria Teresa Landi, Neil E Caporaso, Jack Siemiatycki, Per Gustavsson, Karl-Heinz Jöckel, Wolfgang Ahrens, Hermann Pohlabeln, Guillermo Fernández-Tardón, David Zaridze, Jolanta Lissowska Jolanta Lissowska, Beata Swiatkowska Beata Swiatkowska, John K Field John K Field, John R McLaughlin, Paul A Demers, Tamas Pandics, Francesco Forastiere, Eleonora Fabianova, Miriam Schejbalova, Lenka Foretova, Vladimir Janout, Dana Mates, Christine Barul, Thomas Brüning, Thomas Behrens, Kurt Straif, Joachim Schüz, Ann Olsson, and Susan Peters

Subjects
case-control study, cancer, lung cancer, job-exposure matrix, general population, lung neoplasm, jem, quantitative exposure assessment, exposure–response, respirable crystalline silica, respirable quartz exposure, Public aspects of medicine, RA1-1270
Abstract

OBJECTIVES: The quantitative job-exposure matrix SYN-JEM consists of various dimensions: job-specific estimates, region-specific estimates, and prior expert ratings of jobs by the semi-quantitative DOM-JEM. We analyzed the effect of different JEM dimensions on the exposure–response relationships between occupational silica exposure and lung cancer risk to investigate how these variations influence estimates of exposure by a quantitative JEM and associated health endpoints. METHODS: Using SYN-JEM, and alternative SYN-JEM specifications with varying dimensions included, cumulative silica exposure estimates were assigned to 16 901 lung cancer cases and 20 965 controls pooled from 14 international community-based case-control studies. Exposure–response relationships based on SYN-JEM and alternative SYN-JEM specifications were analyzed using regression analyses (by quartiles and log-transformed continuous silica exposure) and generalized additive models (GAM), adjusted for age, sex, study, cigarette pack-years, time since quitting smoking, and ever employment in occupations with established lung cancer risk. RESULTS: SYN-JEM and alternative specifications generated overall elevated and similar lung cancer odds ratios ranging from 1.13 (1st quartile) to 1.50 (4th quartile). In the categorical and log-linear analyses SYN-JEM with all dimensions included yielded the best model fit, and exclusion of job-specific estimates from SYN-JEM yielded the poorest model fit. Additionally, GAM showed the poorest model fit when excluding job-specific estimates. CONCLUSION: The established exposure–response relationship between occupational silica exposure and lung cancer was marginally influenced by varying the dimensions of SYN-JEM. Optimized modelling of exposure–response relationships will be obtained when incorporating all relevant dimensions, namely prior rating, job, time, and region. Quantitative job-specific estimates appeared to be the most prominent dimension for this general population JEM.

Published
2024
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2. 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

3. Distinct Reproductive Risk Profiles for Intrinsic-Like Breast Cancer Subtypes: Pooled Analysis of Population-Based Studies

Author

Jung, Audrey Y, Ahearn, Thomas U, Behrens, Sabine, Middha, Pooja, Bolla, Manjeet K, Wang, Qin, Arndt, Volker, Aronson, Kristan J, Augustinsson, Annelie, Freeman, Laura E Beane, Becher, Heiko, Brenner, Hermann, Canzian, Federico, Carey, Lisa A, Consortium, CTS, Czene, Kamila, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Figueroa, Jonine D, Fritschi, Lin, Gabrielson, Marike, Giles, Graham G, Guénel, Pascal, Hadjisavvas, Andreas, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hoppe, Reiner, Hopper, John L, Howell, Anthony, Hunter, David J, Hüsing, Anika, Kaaks, Rudolf, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Lacey, James V, Le Marchand, Loic, Lissowska, Jolanta, Loizidou, Maria A, Mannermaa, Arto, Maurer, Tabea, Murphy, Rachel A, Olshan, Andrew F, Olsson, Håkan, Patel, Alpa V, Perou, Charles M, Rennert, Gad, Shibli, Rana, Shu, Xiao-Ou, Southey, Melissa C, Stone, Jennifer, Tamimi, Rulla M, Teras, Lauren R, Troester, Melissa A, Truong, Thérèse, Vachon, Celine M, Wang, Sophia S, Wolk, Alicja, Wu, Anna H, Yang, Xiaohong R, Zheng, Wei, Dunning, Alison M, Pharoah, Paul DP, Easton, Douglas F, Milne, Roger L, Chatterjee, Nilanjan, Schmidt, Marjanka K, García-Closas, Montserrat, and Chang-Claude, Jenny

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Breast Cancer, Aging, Reproductive health and childbirth, Female, Humans, Breast Neoplasms, Receptor, ErbB-2, Receptors, Progesterone, Receptors, Estrogen, Triple Negative Breast Neoplasms, Case-Control Studies, Risk Factors, Biomarkers, Tumor, CTS Consortium, Receptor, erbB-2, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundReproductive factors have been shown to be differentially associated with risk of estrogen receptor (ER)-positive and ER-negative breast cancer. However, their associations with intrinsic-like subtypes are less clear.MethodsAnalyses included up to 23 353 cases and 71 072 controls pooled from 31 population-based case-control or cohort studies in the Breast Cancer Association Consortium across 16 countries on 4 continents. Polytomous logistic regression was used to estimate the association between reproductive factors and risk of breast cancer by intrinsic-like subtypes (luminal A-like, luminal B-like, luminal B-HER2-like, HER2-enriched-like, and triple-negative breast cancer) and by invasiveness. All statistical tests were 2-sided.ResultsCompared with nulliparous women, parous women had a lower risk of luminal A-like, luminal B-like, luminal B-HER2-like, and HER2-enriched-like disease. This association was apparent only after approximately 10 years since last birth and became stronger with increasing time (odds ratio [OR] = 0.59, 95% confidence interval [CI] = 0.49 to 0.71; and OR = 0.36, 95% CI = 0.28 to 0.46 for multiparous women with luminal A-like tumors 20 to less than 25 years after last birth and 45 to less than 50 years after last birth, respectively). In contrast, parous women had a higher risk of triple-negative breast cancer right after their last birth (for multiparous women: OR = 3.12, 95% CI = 2.02 to 4.83) that was attenuated with time but persisted for decades (OR = 1.03, 95% CI = 0.79 to 1.34, for multiparous women 25 to less than 30 years after last birth). Older age at first birth (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) and breastfeeding (Pheterogeneity < .001 for triple-negative compared with luminal A-like breast cancer) were associated with lower risk of triple-negative breast cancer but not with other disease subtypes. Younger age at menarche was associated with higher risk of all subtypes; older age at menopause was associated with higher risk of luminal A-like but not triple-negative breast cancer. Associations for in situ tumors were similar to luminal A-like.ConclusionsThis large and comprehensive study demonstrates a distinct reproductive risk factor profile for triple-negative breast cancer compared with other subtypes, with implications for the understanding of disease etiology and risk prediction.

Published
2022

4. Common Genetic Variation and Age of Onset of Anorexia Nervosa.

Author

Watson, Hunna J, Thornton, Laura M, Yilmaz, Zeynep, Baker, Jessica H, Coleman, Jonathan RI, Adan, Roger AH, Alfredsson, Lars, Andreassen, Ole A, Ask, Helga, Berrettini, Wade H, Boehnke, Michael, Boehm, Ilka, Boni, Claudette, Buehren, Katharina, Bulant, Josef, Burghardt, Roland, Chang, Xiao, Cichon, Sven, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, de Zwaan, Martina, Dedoussis, George, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Djurovic, Srdjan, Dmitrzak-Weglarz, Monika, Docampo-Martinez, Elisa, Duriez, Philibert, Egberts, Karin, Ehrlich, Stefan, Eriksson, Johan G, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Fernández-Aranda, Fernando, Fichter, Manfred M, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Frei, Oleksandr, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Gratacòs, Mònica, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hauser, Joanna, Havdahl, Alexandra, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hinney, Anke, Hübel, Christopher, Hudson, James I, Imgart, Hartmut, Jamain, Stephanie, Janout, Vladimir, Jiménez-Murcia, Susana, Jones, Ian R, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaprio, Jaakko, Karhunen, Leila, Kas, Martien JH, Keel, Pamela K, Kennedy, James L, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Klareskog, Lars, Klump, Kelly L, Knudsen, Gun Peggy S, La Via, Maria C, Le Hellard, Stephanie, Leboyer, Marion, Li, Dong, Lilenfeld, Lisa, Lin, Bochao, Lissowska, Jolanta, Luykx, Jurjen, Magistretti, Pierre, Maj, Mario, Marsal, Sara, Marshall, Christian R, Mattingsdal, Morten, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, Karen S, and Monteleone, Alessio Maria

Subjects
Age of onset, Anorexia nervosa, Early-onset, GWAS, Genetic risk score, Genetics, Menarche, Mendelian randomization, Puberty, Mental Health, Human Genome, Eating Disorders, Anorexia, Brain Disorders, Pediatric, Prevention, Aetiology, 2.1 Biological and endogenous factors
Abstract

BackgroundGenetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche.MethodsA secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (

Published
2022

5. Accounting for EGFR mutations in epidemiological analyses of non-small cell lung cancers: Examples based on the International Lung Cancer Consortium data

Author

Schmid, Sabine, Jiang, Mei, Brown, M Catherine, Fares, Aline, Garcia, Miguel, Soriano, Joelle, Dong, Mei, Thomas, Sera, Kohno, Takashi, Leal, Leticia Ferro, Diao, Nancy, Xie, Juntao, Wang, Zhichao, Zaridze, David, Holcatova, Ivana, Lissowska, Jolanta, Świątkowska, Beata, Mates, Dana, Savic, Milan, Wenzlaff, Angela S, Harris, Curtis C, Caporaso, Neil E, Ma, Hongxia, Fernandez-Tardon, Guillermo, Barnett, Matthew J, Goodman, Gary, Davies, Michael PA, Pérez-Ríos, Mónica, Taylor, Fiona, Duell, Eric J, Schoettker, Ben, Brenner, Hermann, Andrew, Angeline, Cox, Angela, Ruano-Ravina, Alberto, Field, John K, Marchand, Loic Le, Wang, Ying, Chen, Chu, Tardon, Adonina, Shete, Sanjay, Schabath, Matthew B, Shen, Hongbing, Landi, Maria Teresa, Ryan, Brid M, Schwartz, Ann G, Qi, Lihong, Sakoda, Lori C, Brennan, Paul, Yang, Ping, Zhang, Jie, Christiani, David C, Reis, Rui Manuel, Shiraishi, Kouya, Hung, Rayjean J, Xu, Wei, and Liu, Geoffrey

Subjects
Lung, Lung Cancer, Cancer, Prevention, Carcinoma, Non-Small-Cell Lung, ErbB Receptors, Humans, Lung Neoplasms, Mutation, Survival Analysis, Medical and Health Sciences, Epidemiology
Abstract

BackgroundSomatic EGFR mutations define a subset of non-small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches.MethodsThrough analysis of the International Lung Cancer Consortium (ILCCO) epidemiologic datasets, we developed a regression model for EGFR-status; we then applied a clinical-restriction approach using the optimal cut-point, and a second epidemiologic, multiple imputation approach to ILCCO survival analyses that did and did not account for EGFR-status.ResultsOf 35,356 ILCCO patients with NSCLC, EGFR-mutation-status was available in 4,231 patients. A model regressing known EGFR-mutation-status on clinical and demographic variables achieved a concordance index of 0.75 (95% CI, 0.74-0.77) in the training and 0.77 (95% CI, 0.74-0.79) in the testing dataset. At an optimal cut-point of probability-score = 0.335, sensitivity = 69% and specificity = 72.5% for determining EGFR-wildtype status. In both restriction-based and imputation-based regression analyses of the individual roles of BMI on overall survival of patients with NSCLC, similar results were observed between overall and EGFR-mutation-negative cohort analyses of patients of all ancestries. However, our approach identified some differences: EGFR-mutated Asian patients did not incur a survival benefit from being obese, as observed in EGFR-wildtype Asian patients.ConclusionsWe introduce a pragmatic method to evaluate the potential impact of EGFR-status on epidemiological analyses of NSCLC.ImpactThe proposed method is generalizable in the common occurrence in which EGFR-status data are missing.

Published
2022

6. The Mutographs biorepository: A unique genomic resource to study cancer around the world

Author

Perdomo, Sandra, Abedi-Ardekani, Behnoush, de Carvalho, Ana Carolina, Ferreiro-Iglesias, Aida, Gaborieau, Valérie, Cattiaux, Thomas, Renard, Hélène, Chopard, Priscilia, Carreira, Christine, Spanu, Andreea, Nikmanesh, Arash, Cardoso Penha, Ricardo Cortez, Antwi, Samuel O., Ashton-Prolla, Patricia, Canova, Cristina, Chitapanarux, Taned, Cox, Riley, Curado, Maria Paula, de Oliveira, José Carlos, Dzamalala, Charles, Fabianova, Elenora, Ferri, Lorenzo, Fitzgerald, Rebecca, Foretova, Lenka, Gallinger, Steven, Goldstein, Alisa M., Holcatova, Ivana, Huertas, Antonio, Janout, Vladimir, Jarmalaite, Sonata, Kaneva, Radka, Kowalski, Luiz Paulo, Kulis, Tomislav, Lagiou, Pagona, Lissowska, Jolanta, Malekzadeh, Reza, Mates, Dana, McCorrmack, Valerie, Menya, Diana, Mhatre, Sharayu, Mmbaga, Blandina Theophil, de Moricz, André, Nyirády, Péter, Ognjanovic, Miodrag, Papadopoulou, Kyriaki, Polesel, Jerry, Purdue, Mark P., Rascu, Stefan, Rebolho Batista, Lidia Maria, Reis, Rui Manuel, Ribeiro Pinto, Luis Felipe, Rodríguez-Urrego, Paula A., Sangkhathat, Surasak, Sangrajrang, Suleeporn, Shibata, Tatsuhiro, Stakhovsky, Eduard, Świątkowska, Beata, Vaccaro, Carlos, Vasconcelos de Podesta, Jose Roberto, Vasudev, Naveen S., Vilensky, Marta, Yeung, Jonathan, Zaridze, David, Zendehdel, Kazem, Scelo, Ghislaine, Chanudet, Estelle, Wang, Jingwei, Fitzgerald, Stephen, Latimer, Calli, Moody, Sarah, Humphreys, Laura, Alexandrov, Ludmil B., Stratton, Michael R., and Brennan, Paul

Published
2024
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7. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders.

Author

Blokland, Gabriëlla AM, Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Schizophrenia Working Group of the Psychiatric Genomics Consortium, St Clair, David, Lencz, Todd, Mowry, Bryan J, Periyasamy, Sathish, Cairns, Murray J, Tooney, Paul A, Wu, Jing Qin, Kelly, Brian, Kirov, George, Sullivan, Patrick F, Corvin, Aiden, Riley, Brien P, Esko, Tõnu, Milani, Lili, Jönsson, Erik G, Palotie, Aarno, Ehrenreich, Hannelore, Begemann, Martin, Steixner-Kumar, Agnes, Sham, Pak C, Iwata, Nakao, Weinberger, Daniel R, Gejman, Pablo V, Sanders, Alan R, Buxbaum, Joseph D, Rujescu, Dan, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Bramon, Elvira, Murray, Robin M, Pato, Michele T, Lee, Jimmy, Melle, Ingrid, Molden, Espen, Ophoff, Roel A, McQuillin, Andrew, Bass, Nicholas J, Adolfsson, Rolf, Malhotra, Anil K, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Martin, Nicholas G, Fullerton, Janice M, Mitchell, Philip B, Schofield, Peter R, Forstner, Andreas J, Degenhardt, Franziska, Schaupp, Sabrina, Comes, Ashley L, Kogevinas, Manolis, Guzman-Parra, José, Reif, Andreas, Streit, Fabian, Sirignano, Lea, Cichon, Sven, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Lissowska, Jolanta, Mayoral, Fermin, Müller-Myhsok, Bertram, Świątkowska, Beata, Schulze, Thomas G, Nöthen, Markus M, Rietschel, Marcella, Kelsoe, John, Leboyer, Marion, Jamain, Stéphane, Etain, Bruno, Bellivier, Frank, Vincent, John B, Alda, Martin, O'Donovan, Claire, Cervantes, Pablo, Biernacka, Joanna M, Frye, Mark, McElroy, Susan L, Scott, Laura J, Stahl, Eli A, Landén, Mikael, Hamshere, Marian L, Smeland, Olav B, Djurovic, Srdjan, Vaaler, Arne E, Andreassen, Ole A, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Baune, Bernhard T, Air, Tracy, Preisig, Martin, Uher, Rudolf, Levinson, Douglas F, Weissman, Myrna M, Potash, James B, and Shi, Jianxin

Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Endothelial Cells, Humans, Genetic Predisposition to Disease, Receptors, Vascular Endothelial Growth Factor, Sulfurtransferases, Bipolar Disorder, Depressive Disorder, Major, Psychotic Disorders, Schizophrenia, Sex Characteristics, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Bipolar disorder, Genome-wide association study, Genotype-by-sex interaction, Major depressive disorder, Sex differences, Serious Mental Illness, Biotechnology, Mental Health, Genetics, Human Genome, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.MethodsWe conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.ResultsAcross disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05).ConclusionsIn the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

Published
2022

8. 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

9. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women

Author

Figlioli, Gisella, Billaud, Amandine, Ahearn, Thomas U., Antonenkova, Natalia N., Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blok, Marinus J., Bogdanova, Natalia V., Bonanni, Bernardo, Burwinkel, Barbara, Camp, Nicola J., Campbell, Archie, Castelao, Jose E., Cessna, Melissa H., Chanock, Stephen J., Czene, Kamila, Devilee, Peter, Dörk, Thilo, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A., Figueroa, Jonine D., Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, González-Neira, Anna, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Hadjisavvas, Andreas, Hahnen, Eric, Hall, Per, Hamann, Ute, Harrington, Patricia A., He, Wei, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J., Hoppe, Reiner, Howell, Anthony, Humphreys, Keith, Jager, Agnes, Jakubowska, Anna, Khusnutdinova, Elza K., Ko, Yon-Dschun, Kristensen, Vessela N., Lindblom, Annika, Lissowska, Jolanta, Lubiński, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Mavroudis, Dimitrios, Newman, William G., Obi, Nadia, Panayiotidis, Mihalis I., Rashid, Muhammad U., Rhenius, Valerie, Rookus, Matti A., Saloustros, Emmanouil, Sawyer, Elinor J., Schmutzler, Rita K., Shah, Mitul, Sironen, Reijo, Southey, Melissa C., Suvanto, Maija, Tollenaar, Rob A. E. M., Tomlinson, Ian, Truong, Thérèse, van der Kolk, Lizet E., van Veen, Elke M., Wappenschmidt, Barbara, Yang, Xiaohong R., Bolla, Manjeet K., Dennis, Joe, Dunning, Alison M., Easton, Douglas F., Lush, Michael, Michailidou, Kyriaki, Pharoah, Paul D. P., Wang, Qin, Adank, Muriel A., Schmidt, Marjanka K., Andrulis, Irene L., Chang-Claude, Jenny, Nevanlinna, Heli, Chenevix-Trench, Georgia, Evans, D. Gareth, Milne, Roger L., Radice, Paolo, and Peterlongo, Paolo

Published
2023
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10. Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk.

Author

Kapoor, Pooja Middha, Mavaddat, Nasim, Choudhury, Parichoy Pal, Wilcox, Amber N, Lindström, Sara, Behrens, Sabine, Michailidou, Kyriaki, Dennis, Joe, Bolla, Manjeet K, Wang, Qin, Jung, Audrey, Abu-Ful, Zomoroda, Ahearn, Thomas, Andrulis, Irene L, Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J, Auer, Paul L, Freeman, Laura E Beane, Becher, Heiko, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bojesen, Stig E, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Cai, Qiuyin, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Carter, Brian D, Castelao, Jose E, Chanock, Stephen J, Chatterjee, Nilanjan, Chenevix-Trench, Georgia, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dai, James Y, Earp, H Shelton, Ekici, Arif B, Eliassen, A Heather, Eriksson, Mikael, Evans, D Gareth, Fasching, Peter A, Figueroa, Jonine, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, Gao, Chi, Gapstur, Susan M, Gaudet, Mia M, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Haeberle, Lothar, Haiman, Christopher A, Håkansson, Niclas, Hall, Per, Hamann, Ute, Hatse, Sigrid, Heyworth, Jane, Holleczek, Bernd, Hoover, Robert N, Hopper, John L, Howell, Anthony, Hunter, David J, ABCTB Investigators, kConFab/AOCS Investigators, John, Esther M, Jones, Michael E, Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M, Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W, Lambrechts, Diether, Le Marchand, Loic, Lee, Eunjung, Lejbkowicz, Flavio, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, MacInnis, Robert J, Martinez, Maria Elena, Maurer, Tabea, McLean, Catriona, Neuhausen, Susan L, Newman, William G, Norman, Aaron, O'Brien, Katie M, Olshan, Andrew F, Olson, Janet E, Olsson, Håkan, and Orr, Nick

Subjects
ABCTB Investigators, kConFab/AOCS Investigators, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.

Published
2021

11. Lung Cancer Risks Associated with Occupational Exposure to Pairs of Five Lung Carcinogens: Results from a Pooled Analysis of Case-Control Studies (SYNERGY)

Author

Olsson, Ann, Bouaoun, Liacine, Schuz, Joachim, Vermeulen, Roel, Behrens, Thomas, Ge, Calvin, Kromhout, Hans, Siemiatycki, Jack, Gustavsson, Per, Boffetta, Paolo, Kendzia, Benjamin, Radoi, Loredana, Barul, Christine, Karrasch, Stefan, Wichmann, Heinz-Erich, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Merletti, Franco, Migliore, Enrica, Richiardi, Lorenzo, Jockel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernandez-Tardon, Guillermo, Zaridze, David, Field, John K., Lissowska, Jolanta, Swiatkowska, Beata, McLaughlin, John R., Demers, Paul A., Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Pandics, Tamas, Fabianova, Eleonora, Mates, Dana, Forastiere, Francesco, Straif, Kurt, Bruning, Thomas, Vlaanderen, Jelle, and Peters, Susan

Subjects
Smoking -- Research -- Risk factors, Lung cancer -- Research -- Risk factors, Polycyclic aromatic hydrocarbons -- Research, Silica -- Research, Cigarettes -- Research, Environmental issues, Health
Abstract

Background: While much research has been done to identify individual workplace lung carcinogens, little is known about joint effects on risk when workers are exposed to multiple agents. Objectives: We investigated the pairwise joint effects of occupational exposures to asbestos, respirable crystalline silica, metals (i.e., nickel, chromium-VI), and polycyclic aromatic hydrocarbons (PAH) on lung cancer risk, overall and by major histologic subtype, while accounting for cigarette smoking. Methods: In the international 14-center SYNERGY project, occupational exposures were assigned to 16,901 lung cancer cases and 20,965 control subjects using a quantitative job-exposure matrix (SYN-JEM). Odds ratios (ORs) and 95% confidence intervals (CIs) were computed for ever vs. never exposure using logistic regression models stratified by sex and adjusted for study center, age, and smoking habits. Joint effects among pairs of agents were assessed on multiplicative and additive scales, the latter by calculating the relative excess risk due to interaction (RERI). Results: All pairwise joint effects of lung carcinogens in men were associated with an increased risk of lung cancer. However, asbestos/metals and metals/PAH resulted in less than additive effects; while the chromium-VI/silica pair showed marginally synergistic effect in relation to adenocarcinoma (RERI: 0.24; CI: 0.02, 0.46; p = 0.05). In women, several pairwise joint effects were observed for small cell lung cancer including exposure to PAH/silica (OR = 5.12; CI: 1.77, 8.48), and to asbestos/silica (OR = 4.32; CI: 1.35, 7.29), where exposure to PAH/silica resulted in a synergistic effect (RERI: 3.45; CI: 0.10, 6.8). Discussion: Small or no deviation from additive or multiplicative effects was observed, but co-exposure to the selected lung carcinogens resulted generally in higher risk than exposure to individual agents, highlighting the importance to reduce and control exposure to carcinogens in workplaces and the general environment. https://doi.org/10.1289/EHP13380, Introduction Occupational carcinogens represent a significant threat on worker's health, and exposed workers may be (simultaneously) exposed to more than one carcinogen. The European CAREX project estimated that 23% of [...]

Published
2024
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12. Association between duration of smoking abstinence before non-small-cell lung cancer diagnosis and survival: a retrospective, pooled analysis of cohort studies

Author

Fares, Aline F, Li, Yao, Jiang, Mei, Brown, M Catherine, Lam, Andrew C L, Aggarwal, Reenika, Schmid, Sabine, Leighl, Natasha B, Shepherd, Frances A, Wang, Zhichao, Diao, Nancy, Wenzlaff, Angela S, Xie, Juntao, Kohno, Takashi, Caporaso, Neil E, Harris, Curtis, Ma, Hongxia, Barnett, Matthew J, Leal, Leticia Ferro, Fernandez-Tardon, G, Pérez-Ríos, Mónica, Davies, Michael P A, Taylor, Fiona, Schöttker, Ben, Brennan, Paul, Zaridze, David, Holcatova, Ivana, Lissowska, Jolanta, Świątkowska, Beata, Mates, Dana, Savic, Milan, Brenner, Hermann, Andrew, Angeline, Cox, Angela, Field, John K, Ruano-Ravina, Alberto, Shete, Sanjay S, Tardon, Adonina, Wang, Ying, Le Marchand, Loic, Reis, Rui Manuel, Schabath, Matthew B, Chen, Chu, Shen, Hongbing, Ryan, Brid M, Landi, Maria Teresa, Shiraishi, Kouya, Zhang, Jie, Schwartz, Ann G, Tsao, Ming S, Christiani, David C, Yang, Ping, Hung, Rayjean J, Xu, Wei, and Liu, Geoffrey

Published
2023
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13. Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers

Author

Glubb, Dylan M, Thompson, Deborah J, Aben, Katja KH, Alsulimani, Ahmad, Amant, Frederic, Annibali, Daniela, Attia, John, Barricarte, Aurelio, Beckmann, Matthias W, Berchuck, Andrew, Bermisheva, Marina, Bernardini, Marcus Q, Bischof, Katharina, Bjorge, Line, Bodelon, Clara, Brand, Alison H, Brenton, James D, Brinton, Louise A, Bruinsma, Fiona, Buchanan, Daniel D, Burghaus, Stefanie, Butzow, Ralf, Cai, Hui, Carney, Michael E, Chanock, Stephen J, Chen, Chu, Chen, Xiao Qing, Chen, Zhihua, Cook, Linda S, Cunningham, Julie M, De Vivo, Immaculata, deFazio, Anna, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dunning, Alison M, Dürst, Matthias, Edwards, Todd, Edwards, Robert P, Ekici, Arif B, Ewing, Ailith, Fasching, Peter A, Ferguson, Sarah, Flanagan, James M, Fostira, Florentia, Fountzilas, George, Friedenreich, Christine M, Gao, Bo, Gaudet, Mia M, Gawełko, Jan, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harris, Holly R, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Holliday, Elizabeth G, Huntsman, David G, Huzarski, Tomasz, Jakubowska, Anna, Jensen, Allan, Jones, Michael E, Karlan, Beth Y, Karnezis, Anthony, Kelley, Joseph L, Khusnutdinova, Elza, Killeen, Jeffrey L, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Konopka, Bozena, Konstantopoulou, Irene, Kopperud, Reidun K, Koti, Madhuri, Kraft, Peter, Kupryjanczyk, Jolanta, Lambrechts, Diether, Larson, Melissa C, Le Marchand, Loic, Lele, Shashikant, Lester, Jenny, Li, Andrew J, Liang, Dong, Liebrich, Clemens, Lipworth, Loren, Lissowska, Jolanta, Lu, Lingeng, Lu, Karen H, Macciotta, Alessandra, Mattiello, Amalia, May, Taymaa, McAlpine, Jessica N, and McGuire, Valerie

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Human Genome, Uterine Cancer, Genetics, Biotechnology, Ovarian Cancer, Prevention, Cancer, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Endometrial Neoplasms, Female, Genome-Wide Association Study, Humans, Ovarian Neoplasms, Quantitative Trait Loci, Risk Factors, OPAL Study Group, AOCS Group, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundAccumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers.MethodsUsing LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data.ResultsGenetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). We found seven loci associated with risk for both cancers (P Bonferroni < 2.4 × 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation.ConclusionsUsing cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis.ImpactOur research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

Published
2021

14. Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE)

Author

Talhouk, Aline, George, Joshy, Wang, Chen, Budden, Timothy, Tan, Tuan Zea, Chiu, Derek S, Kommoss, Stefan, San Leong, Huei, Chen, Stephanie, Intermaggio, Maria P, Gilks, Blake, Nazeran, Tayyebeh M, Volchek, Mila, Elatre, Wafaa, Bentley, Rex C, Senz, Janine, Lum, Amy, Chow, Veronica, Sudderuddin, Hanwei, Mackenzie, Robertson, Leong, Samuel CY, Liu, Geyi, Johnson, Dustin, Chen, Billy, Group, AOCS, Alsop, Jennifer, Banerjee, Susana N, Behrens, Sabine, Bodelon, Clara, Brand, Alison H, Brinton, Louise, Carney, Michael E, Chiew, Yoke-Eng, Cushing-Haugen, Kara L, Cybulski, Cezary, Ennis, Darren, Fereday, Sian, Fortner, Renée T, García-Donas, Jesús, Gentry-Maharaj, Aleksandra, Glasspool, Rosalind, Goranova, Teodora, Greene, Casey S, Haluska, Paul, Harris, Holly R, Hendley, Joy, Hernandez, Brenda Y, Herpel, Esther, Jimenez-Linan, Mercedes, Karpinskyj, Chloe, Kaufmann, Scott H, Keeney, Gary L, Kennedy, Catherine J, Köbel, Martin, Koziak, Jennifer M, Larson, Melissa C, Lester, Jenny, Lewsley, Liz-Anne, Lissowska, Jolanta, Lubiński, Jan, Luk, Hugh, Macintyre, Geoff, Mahner, Sven, McNeish, Iain A, Menkiszak, Janusz, Nevins, Nikilyn, Osorio, Ana, Oszurek, Oleg, Palacios, José, Hinsley, Samantha, Pearce, Celeste L, Pike, Malcolm C, Piskorz, Anna M, Ray-Coquard, Isabelle, Rhenius, Valerie, Rodriguez-Antona, Cristina, Sharma, Raghwa, Sherman, Mark E, De Silva, Dilrini, Singh, Naveena, Sinn, Peter, Slamon, Dennis, Song, Honglin, Steed, Helen, Stronach, Euan A, Thompson, Pamela J, Tołoczko, Aleksandra, Trabert, Britton, Traficante, Nadia, Tseng, Chiu-Chen, Widschwendter, Martin, Wilkens, Lynne R, Winham, Stacey J, Winterhoff, Boris, Beeghly-Fadiel, Alicia, Benitez, Javier, Berchuck, Andrew, Brenton, James D, Brown, Robert, and Chang-Claude, Jenny

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Orphan Drug, Genetics, Ovarian Cancer, Women's Health, Cancer Genomics, Precision Medicine, Cancer, Human Genome, 4.2 Evaluation of markers and technologies, Good Health and Well Being, Aged, Algorithms, Cystadenoma, Serous, Female, Gene Expression Regulation, Neoplastic, Humans, Lymphocytes, Tumor-Infiltrating, Middle Aged, Neoplasm Grading, Neoplasm Proteins, Neoplasm, Residual, Ovarian Neoplasms, Transcriptome, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

PurposeGene expression-based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features.Experimental designAdopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting.ResultsGene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with >95% accuracy that was maintained in all analytic and biological validations.ConclusionsWe validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications.See related commentary by McMullen et al., p. 5271.

Published
2020

15. Cross-cancer genome-wide association study of endometrial cancer and epithelial ovarian cancer identifies genetic risk regions associated with risk of both cancers

Author

Glubb, Dylan M, Thompson, Deborah J, Aben, Katja KH, Alsulimani, Ahmad, Amant, Frederic, Annibali, Daniela, Attia, John, Barricarte, Aurelio, Beckmann, Matthias W, Berchuck, Andrew, Bermisheva, Marina, Bernardini, Marcus Q, Bischof, Katharina, Bjorge, Line, Bodelon, Clara, Brand, Alison H, Brenton, James D, Brinton, Louise, Bruinsma, Fiona, Buchanan, Daniel D, Burghaus, Stefanie, Butzow, Ralf, Cai, Hui, Carney, Michael E, Chanock, Stephen J, Chen, Chu, Chen, Xiao Qing, Chen, Zhihua, Cook, Linda S, Cunningham, Julie M, De Vivo, Immaculata, deFazio, Anna, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dunning, Alison M, Dürst, Matthias, Edwards, Todd, Edwards, Robert P, Ekici, Arif B, Ewing, Ailith, Fasching, Peter A, Ferguson, Sarah, Flanagan, James M, Fostira, Florentia, Fountzilas, George, Friedenreich, Christine M, Gao, Bo, Gaudet, Mia M, Gawełko, Jan, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Group, OPAL Study, Group, AOCS, Harris, Holly R, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Holliday, Elizabeth G, Huntsman, David G, Huzarski, Tomasz, Jakubowska, Anna, Jensen, Allan, Jones, Michael E, Karlan, Beth Y, Karnezis, Anthony, Kelley, Joseph L, Khusnutdinova, Elza, Killeen, Jeffrey L, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Konopka, Bozena, Konstantopoulou, Irene, Kopperud, Reidun K, Koti, Madhuri, Kraft, Peter, Kupryjanczyk, Jolanta, Lambrechts, Diether, Larson, Melissa C, Le Marchand, Loic, Lele, Shashikant B, Lester, Jenny, Li, Andrew J, Liang, Dong, Liebrich, Clemens, Lipworth, Loren, Lissowska, Jolanta, Lu, Lingeng, Lu, Karen H, Macciotta, Alessandra, Mattiello, Amalia, and May, Taymaa

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Statistics, Mathematical Sciences, Oncology and Carcinogenesis, Aging, Rare Diseases, Human Genome, Cancer, Uterine Cancer, Ovarian Cancer, Prevention, Biotechnology, Aetiology, 2.1 Biological and endogenous factors
Abstract

Abstract: Accumulating evidence suggests a relationship between endometrial cancer and epithelial ovarian cancer. For example, endometrial cancer and epithelial ovarian cancer share epidemiological risk factors and molecular features observed across histotypes are held in common (e.g. serous, endometrioid and clear cell). Independent genome-wide association studies (GWAS) for endometrial cancer and epithelial ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. Using GWAS summary statistics, we explored the shared genetic etiology between endometrial cancer and epithelial ovarian cancer. Genetic correlation analysis using LD Score regression revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e. inverse-variance meta-analysis, co-localization, and M-values), and performed analyses by stratified by subtype. We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10−9). In addition, four novel regions at 7p22.2, 7q22.1, 9p12 and 11q13.3 were identified at a sub-genome wide threshold (P < 5 × 10−7). Integration with promoter-associated HiChIP chromatin loops from immortalized endometrium and epithelial ovarian cell lines, and expression quantitative trait loci (eQTL) data highlighted candidate target genes for further investigation.

Published
2020

16. 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

17. Age at start of using tobacco on the risk of head and neck cancer: Pooled analysis in the International Head and Neck Cancer Epidemiology Consortium (INHANCE)

Author

Chang, Chun-Pin, Chang, Shen-Chih, Chuang, Shu-Chun, Berthiller, Julien, Ferro, Gilles, Matsuo, Keitaro, Wünsch-Filho, Victor, Toporcov, Tatiana N, de Carvalho, Marcos Brasilino, La Vecchia, Carlo, Olshan, Andrew F, Zevallos, Jose P, Serraino, Diego, Muscat, Joshua, Sturgis, Erich M, Li, Guojun, Morgenstern, Hal, Levi, Fabio, Dal Maso, Luigino, Smith, Elaine, Kelsey, Karl, McClean, Michael, Vaughan, Thomas L, Lazarus, Philip, Ramroth, Heribert, Chen, Chu, Schwartz, Stephen M, Winn, Deborah M, Bosetti, Cristina, Edefonti, Valeria, Garavello, Werner, Negri, Eva, Hayes, Richard B, Purdue, Mark P, Boccia, Stefania, Cadoni, Gabriella, Shangina, Oxana, Koifman, Rosalina, Curado, Maria Paula, Vilensky, Marta, Swiatkowska, Beata, Herrero, Rolando, Franceschi, Silvia, Benhamou, Simone, Fernandez, Leticia, Menezes, Ana MB, Daudt, Alexander W, Mates, Dana, Schantz, Stimson, Yu, Guo-Pei, Lissowska, Jolanta, Brenner, Hermann, Fabianova, Eleonora, Rudnai, Peter, Brennan, Paul, Boffetta, Paolo, Zhang, Zuo-Feng, Hashibe, Mia, and Lee, Yuan-Chin Amy

Subjects
Biomedical and Clinical Sciences, Epidemiology, Health Services and Systems, Health Sciences, Public Health, Oncology and Carcinogenesis, Prevention, Rare Diseases, Cancer, Tobacco Smoke and Health, Dental/Oral and Craniofacial Disease, Substance Misuse, Tobacco, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Adult, Age Factors, Aged, Case-Control Studies, Female, Head and Neck Neoplasms, Humans, Male, Middle Aged, Risk Factors, Nicotiana, Age at start of tobacco use, Head and neck cancer, Oral cancer, Oropharyngeal cancer, Hypopharyngeal cancer, Laryngeal cancer, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundTobacco use is a well-established risk factor for head and neck cancer (HNC). However, less is known about the potential impact of exposure to tobacco at an early age on HNC risk.MethodsWe analyzed individual-level data on ever tobacco smokers from 27 case-control studies (17,146 HNC cases and 17,449 controls) in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using random-effects logistic regression models.ResultsWithout adjusting for tobacco packyears, we observed that younger age at starting tobacco use was associated with an increased HNC risk for ever smokers (OR

Published
2019

18. GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores

Author

Mullins, Niamh, Bigdeli, Tim B, Børglum, Anders D, Coleman, Jonathan RI, Demontis, Ditte, Mehta, Divya, Power, Robert A, Ripke, Stephan, Stahl, Eli A, Starnawska, Anna, Anjorin, Adebayo, Corvin, Aiden, Sanders, Alan R, Forstner, Andreas J, Reif, Andreas, Koller, Anna C, Świątkowska, Beata, Baune, Bernhard T, Müller-Myhsok, Bertram, Penninx, Brenda WJH, Pato, Carlos, Zai, Clement, Rujescu, Dan, Hougaard, David M, Quested, Digby, Levinson, Douglas F, Binder, Elisabeth B, Byrne, Enda M, Agerbo, Esben, Streit, Fabian, Mayoral, Fermin, Bellivier, Frank, Degenhardt, Franziska, Breen, Gerome, Morken, Gunnar, Turecki, Gustavo, Rouleau, Guy A, Grabe, Hans J, Völzke, Henry, Jones, Ian, Giegling, Ina, Agartz, Ingrid, Melle, Ingrid, Lawrence, Jacob, Walters, James TR, Strohmaier, Jana, Shi, Jianxin, Hauser, Joanna, Biernacka, Joanna M, Vincent, John B, Kelsoe, John, Strauss, John S, Lissowska, Jolanta, Pimm, Jonathan, Smoller, Jordan W, Guzman-Parra, José, Berger, Klaus, Scott, Laura J, Jones, Lisa A, Azevedo, M Helena, Trzaskowski, Maciej, Kogevinas, Manolis, Rietschel, Marcella, Boks, Marco, Ising, Marcus, Grigoroiu-Serbanescu, Maria, Hamshere, Marian L, Leboyer, Marion, Frye, Mark, Nöthen, Markus M, Alda, Martin, Preisig, Martin, Nordentoft, Merete, Boehnke, Michael, O’Donovan, Michael C, Owen, Michael J, Pato, Michele T, Renteria, Miguel E, Budde, Monika, Weissman, Myrna M, Wray, Naomi R, Bass, Nicholas, Craddock, Nicholas, Smeland, Olav B, Andreassen, Ole A, Mors, Ole, Gejman, Pablo V, Sklar, Pamela, McGrath, Patrick, Hoffmann, Per, McGuffin, Peter, Lee, Phil H, Mortensen, Preben Bo, Kahn, René S, Ophoff, Roel A, Adolfsson, Rolf, Van der Auwera, Sandra, Djurovic, Srdjan, Kloiber, Stefan, and Heilmann-Heimbach, Stefanie

Subjects
Prevention, Suicide, Serious Mental Illness, Schizophrenia, Human Genome, Depression, Mental Health, Genetics, Brain Disorders, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Bipolar Disorder, Case-Control Studies, Depressive Disorder, Major, Female, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Risk Factors, Suicide, Attempted, M.R.C.Psych, Dr.Med.Sc, Dipl.-Psych, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Mood Disorders, Polygenic Risk Scoring, Psychiatric Genomics Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveMore than 90% of people who attempt suicide have a psychiatric diagnosis; however, twin and family studies suggest that the genetic etiology of suicide attempt is partially distinct from that of the psychiatric disorders themselves. The authors present the largest genome-wide association study (GWAS) on suicide attempt, using cohorts of individuals with major depressive disorder, bipolar disorder, and schizophrenia from the Psychiatric Genomics Consortium.MethodsThe samples comprised 1,622 suicide attempters and 8,786 nonattempters with major depressive disorder; 3,264 attempters and 5,500 nonattempters with bipolar disorder; and 1,683 attempters and 2,946 nonattempters with schizophrenia. A GWAS on suicide attempt was performed by comparing attempters to nonattempters with each disorder, followed by a meta-analysis across disorders. Polygenic risk scoring was used to investigate the genetic relationship between suicide attempt and the psychiatric disorders.ResultsThree genome-wide significant loci for suicide attempt were found: one associated with suicide attempt in major depressive disorder, one associated with suicide attempt in bipolar disorder, and one in the meta-analysis of suicide attempt in mood disorders. These associations were not replicated in independent mood disorder cohorts from the UK Biobank and iPSYCH. No significant associations were found in the meta-analysis of all three disorders. Polygenic risk scores for major depression were significantly associated with suicide attempt in major depressive disorder (R2=0.25%), bipolar disorder (R2=0.24%), and schizophrenia (R2=0.40%).ConclusionsThis study provides new information on genetic associations and demonstrates that genetic liability for major depression increases risk for suicide attempt across psychiatric disorders. Further collaborative efforts to increase sample size may help to robustly identify genetic associations and provide biological insights into the etiology of suicide attempt.

Published
2019

19. Application of two job indices for general occupational demands in a pooled analysis of case–control studies on lung cancer

Author

Hovanec, Jan, Siemiatycki, Jack, Conway, David I, Olsson, Ann, Guenel, Pascal, Luce, Danièle, Jöckel, Karl-Heinz, Pohlabeln, Hermann, Ahrens, Wolfgang, Karrasch, Stefan, Wichmann, Heinz-Erich, Gustavsson, Per, Consonni, Dario, Merletti, Franco, Richiardi, Lorenzo, Simonato, Lorenzo, Fortes, Cristina, Parent, Marie-Élise, McLaughlin, John R, Demers, Paul, Landi, Maria Teresa, Caporaso, Neil, Fernández-Tardón, Guillermo, Zaridze, David, Świątkowska, Beata, Pándics, Tamas, Lissowska, Jolanta, Fabianova, Eleonora, Field, John K, Mates, Dana, Bencko, Vladimir, Foretova, Lenka, Janout, Vladimir, Kromhout, Hans, Vermeulen, Roel, Boffetta, Paolo, Straif, Kurt, Schüz, Joachim, Casjens, Swaantje, Pesch, Beate, Brüning, Thomas, and Behrens, Thomas

Published
2021

20. rs495139 in the TYMS-ENOSF1 Region and Risk of Ovarian Carcinoma of Mucinous Histology.

Author

Kelemen, Linda E, Earp, Madalene, Fridley, Brooke L, Chenevix-Trench, Georgia, Australian Ovarian Cancer Study Group, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Hein, Alexander, Lambrechts, Diether, Lambrechts, Sandrina, Van Nieuwenhuysen, Els, Vergote, Ignace, Rossing, Mary Anne, Doherty, Jennifer A, Chang-Claude, Jenny, Behrens, Sabine, Moysich, Kirsten B, Cannioto, Rikki, Lele, Shashikant, Odunsi, Kunle, Goodman, Marc T, Shvetsov, Yurii B, Thompson, Pamela J, Wilkens, Lynne R, Dörk, Thilo, Antonenkova, Natalia, Bogdanova, Natalia, Hillemanns, Peter, Runnebaum, Ingo B, du Bois, Andreas, Harter, Philipp, Heitz, Florian, Schwaab, Ira, Butzow, Ralf, Pelttari, Liisa M, Nevanlinna, Heli, Modugno, Francesmary, Edwards, Robert P, Kelley, Joseph L, Ness, Roberta B, Karlan, Beth Y, Lester, Jenny, Orsulic, Sandra, Walsh, Christine, Kjaer, Susanne K, Jensen, Allan, Cunningham, Julie M, Vierkant, Robert A, Giles, Graham G, Bruinsma, Fiona, Southey, Melissa C, Hildebrandt, Michelle AT, Liang, Dong, Lu, Karen, Wu, Xifeng, Sellers, Thomas A, Levine, Douglas A, Schildkraut, Joellen M, Iversen, Edwin S, Terry, Kathryn L, Cramer, Daniel W, Tworoger, Shelley S, Poole, Elizabeth M, Bandera, Elisa V, Olson, Sara H, Orlow, Irene, Vestrheim Thomsen, Liv Cecilie, Bjorge, Line, Krakstad, Camilla, Tangen, Ingvild L, Kiemeney, Lambertus A, Aben, Katja KH, Massuger, Leon FAG, van Altena, Anne M, Pejovic, Tanja, Bean, Yukie, Kellar, Melissa, Cook, Linda S, Le, Nhu D, Brooks-Wilson, Angela, Gronwald, Jacek, Cybulski, Cezary, Jakubowska, Anna, Lubiński, Jan, Wentzensen, Nicolas, Brinton, Louise A, Lissowska, Jolanta, Hogdall, Estrid, Engelholm, Svend Aage, Hogdall, Claus, Lundvall, Lene, Nedergaard, Lotte, Pharoah, Paul DP, Dicks, Ed, Song, Honglin, Tyrer, Jonathan P, McNeish, Iain, Siddiqui, Nadeem, and Carty, Karen

Subjects
Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Humans, Adenocarcinoma, Mucinous, Ovarian Neoplasms, Hydro-Lyases, Thymidylate Synthase, Proteins, RNA, Antisense, Logistic Models, Odds Ratio, Risk, Case-Control Studies, Signal Transduction, Gene Expression Regulation, Neoplastic, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Middle Aged, Female, Genetic Association Studies, consortia, enolase superfamily member 1, expression quantitative trait locus, genetics, gynecology, ovarian neoplasms, single-nucleotide polymorphism, thymidylate synthase, Ovarian Cancer, Rare Diseases, Biotechnology, Cancer, Digestive Diseases, Genetics, Chemical Physics, Other Chemical Sciences, Other Biological Sciences
Abstract

Thymidylate synthase (TYMS) is a crucial enzyme for DNA synthesis. TYMS expression is regulated by its antisense mRNA, ENOSF1. Disrupted regulation may promote uncontrolled DNA synthesis and tumor growth. We sought to replicate our previously reported association between rs495139 in the TYMS-ENOSF1 3' gene region and increased risk of mucinous ovarian carcinoma (MOC) in an independent sample. Genotypes from 24,351 controls to 15,000 women with invasive OC, including 665 MOC, were available. We estimated per-allele odds ratios (OR) and 95% confidence intervals (CI) using unconditional logistic regression, and meta-analysis when combining these data with our previous report. The association between rs495139 and MOC was not significant in the independent sample (OR = 1.09; 95% CI = 0.97⁻1.22; p = 0.15; N = 665 cases). Meta-analysis suggested a weak association (OR = 1.13; 95% CI = 1.03⁻1.24; p = 0.01; N = 1019 cases). No significant association with risk of other OC histologic types was observed (p = 0.05 for tumor heterogeneity). In expression quantitative trait locus (eQTL) analysis, the rs495139 allele was positively associated with ENOSF1 mRNA expression in normal tissues of the gastrointestinal system, particularly esophageal mucosa (r = 0.51, p = 1.7 × 10-28), and nonsignificantly in five MOC tumors. The association results, along with inconclusive tumor eQTL findings, suggest that a true effect of rs495139 might be small.

Published
2018

21. Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study

Author

Ong, Jue-Sheng, Hwang, Liang-Dar, Cuellar-Partida, Gabriel, Martin, Nicholas G, Chenevix-Trench, Georgia, Quinn, Michael CJ, Cornelis, Marilyn C, Gharahkhani, Puya, Webb, Penelope M, MacGregor, Stuart, Bryne, Enda, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Swerdlow, Anthony J, Jones, Michael, Orr, Nicholas, Schoemaker, Minouk, Edwards, Digna Velez, Brenton, James, Benítez, Javier, García, María J, Rodriguez-Antona, Cristina, Rossing, Mary Anne, Fortner, Renée T, Riboli, Elio, Chang-Claude, Jenny, Eilber, Ursula, Wang-Gohrke, Shan, Yannoukakos, Drakoulis, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Duerst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Heitz, Florian, Karlan, Beth, Olsson, Håkan, Kjaer, Susanne K, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Hildebrandt, Michelle AT, Liang, Dong, Wu, Xifeng, Le Marchand, Loic, Setiawan, V Wendy, Permuth, Jennifer B, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Willet, Walter, Missmer, Stacey, Bjorge, Line, Kopperud, Reidun K, Bischof, Katharina, Thomsen, Liv Cecilie Vestrheim, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Gilks, C Blake, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, and Lissowska, Jolanta

Subjects
Epidemiology, Health Sciences, Clinical Research, Ovarian Cancer, Nutrition, Rare Diseases, Prevention, Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Coffee, Female, Humans, Mendelian Randomization Analysis, Odds Ratio, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk Factors, Ovarian Cancer Association Consortium, Statistics, Public Health and Health Services, Public health
Abstract

BackgroundCoffee consumption has been shown to be associated with various health outcomes in observational studies. However, evidence for its association with epithelial ovarian cancer (EOC) is inconsistent and it is unclear whether these associations are causal.MethodsWe used single nucleotide polymorphisms associated with (i) coffee and (ii) caffeine consumption to perform Mendelian randomization (MR) on EOC risk. We conducted a two-sample MR using genetic data on 44 062 individuals of European ancestry from the Ovarian Cancer Association Consortium (OCAC), and combined instrumental variable estimates using a Wald-type ratio estimator.ResultsFor all EOC cases, the causal odds ratio (COR) for genetically predicted consumption of one additional cup of coffee per day was 0.92 [95% confidence interval (CI): 0.79, 1.06]. The COR was 0.90 (95% CI: 0.73, 1.10) for high-grade serous EOC. The COR for genetically predicted consumption of an additional 80 mg caffeine was 1.01 (95% CI: 0.92, 1.11) for all EOC cases and 0.90 (95% CI: 0.73, 1.10) for high-grade serous cases.ConclusionsWe found no evidence indicative of a strong association between EOC risk and genetically predicted coffee or caffeine levels. However, our estimates were not statistically inconsistent with earlier observational studies and we were unable to rule out small protective associations.

Published
2018

22. Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study

Author

Dixon-Suen, Suzanne C, Nagle, Christina M, Thrift, Aaron P, Pharoah, Paul DP, Ewing, Ailith, Pearce, Celeste Leigh, Zheng, Wei, Australian Ovarian Cancer Study Group, Chenevix-Trench, Georgia, Fasching, Peter A, Beckmann, Matthias W, Lambrechts, Diether, Vergote, Ignace, Lambrechts, Sandrina, Van Nieuwenhuysen, Els, Rossing, Mary Anne, Doherty, Jennifer A, Wicklund, Kristine G, Chang-Claude, Jenny, Jung, Audrey Y, Moysich, Kirsten B, Odunsi, Kunle, Goodman, Marc T, Wilkens, Lynne R, Thompson, Pamela J, Shvetsov, Yurii B, Dörk, Thilo, Park-Simon, Tjoung-Won, Hillemanns, Peter, Bogdanova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M, Leminen, Arto, Modugno, Francesmary, Ness, Roberta B, Edwards, Robert P, Kelley, Joseph L, Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Karlan, Beth Y, Lester, Jenny, Orsulic, Sandra, Rimel, Bobbie J, Kjær, Susanne K, Høgdall, Estrid, Jensen, Allan, Goode, Ellen L, Fridley, Brooke L, Cunningham, Julie M, Winham, Stacey J, Giles, Graham G, Bruinsma, Fiona, Milne, Roger L, Southey, Melissa C, Hildebrandt, Michelle AT, Wu, Xifeng, Lu, Karen H, Liang, Dong, Levine, Douglas A, Bisogna, Maria, Schildkraut, Joellen M, Berchuck, Andrew, Cramer, Daniel W, Terry, Kathryn L, Bandera, Elisa V, Olson, Sara H, Salvesen, Helga B, Thomsen, Liv Cecilie Vestrheim, Kopperud, Reidun K, Bjorge, Line, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bruegl, Amanda, Cook, Linda S, Le, Nhu D, Swenerton, Kenneth D, Brooks-Wilson, Angela, Kelemen, Linda E, Lubiński, Jan, Huzarski, Tomasz, Gronwald, Jacek, Menkiszak, Janusz, Wentzensen, Nicolas, Brinton, Louise, Yang, Hannah, Lissowska, Jolanta, Høgdall, Claus K, Lundvall, Lene, Song, Honglin, Tyrer, Jonathan P, Campbell, Ian, Eccles, Diana, Paul, James, Glasspool, Rosalind, Siddiqui, Nadeem, and Whittemore, Alice S

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Prevention, Genetics, Ovarian Cancer, Women's Health, Cancer, 2.1 Biological and endogenous factors, Adolescent, Adult, Aged, Aged, 80 and over, Body Height, Carcinoma, Ovarian Epithelial, Case-Control Studies, Female, Genetic Predisposition to Disease, Geography, Humans, Mendelian Randomization Analysis, Middle Aged, Ovarian Neoplasms, Risk Factors, Young Adult, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundObservational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias.MethodsWe pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis.ResultsGreater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01-1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01-1.11) and borderline (pOR = 1.15; 95% CI: 1.02-1.29) tumours.ConclusionsWomen with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.

Published
2018

23. Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility

Author

Earp, Madalene, Tyrer, Jonathan P, Winham, Stacey J, Lin, Hui-Yi, Chornokur, Ganna, Dennis, Joe, Aben, Katja KH, Anton‐Culver, Hoda, Antonenkova, Natalia, Bandera, Elisa V, Bean, Yukie T, Beckmann, Matthias W, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Bunker, Clareann H, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Despierre, Evelyn, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Easton, Douglas F, Eccles, Diana M, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Hogdall, Claus K, Høgdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Jung, Audrey Y, Karlan, Beth Y, Kellar, Melissa, Kiemeney, Lambertus A, Lim, Boon Kiong, Kjaer, Susanne K, Krakstad, Camilla, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lele, Shashi, Lester, Jenny, Levine, Douglas A, Li, Zheng, Liang, Dong, Lissowska, Jolanta, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, McNeish, Iain, Menon, Usha, Milne, Roger L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Nevanlinna, Heli, Odunsi, Kunle, Olson, Sara H, Orlow, Irene, Orsulic, Sandra, Paul, James, Pejovic, Tanja, Pelttari, Liisa M, Permuth, Jenny B, Pike, Malcolm C, Poole, Elizabeth M, Rosen, Barry, Rossing, Mary Anne, Rothstein, Joseph H, and Runnebaum, Ingo B

Subjects
Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Biological Sciences, Genetics, Oncology and Carcinogenesis, Biotechnology, Ovarian Cancer, Cancer, Human Genome, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, A Kinase Anchor Proteins, Carcinoma, Ovarian Epithelial, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genotype, Humans, Monomeric GTP-Binding Proteins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Rho Guanine Nucleotide Exchange Factors, Risk Factors, General Science & Technology
Abstract

Epithelial ovarian cancer (EOC) is the fifth leading cause of cancer mortality in American women. Normal ovarian physiology is intricately connected to small GTP binding proteins of the Ras superfamily (Ras, Rho, Rab, Arf, and Ran) which govern processes such as signal transduction, cell proliferation, cell motility, and vesicle transport. We hypothesized that common germline variation in genes encoding small GTPases is associated with EOC risk. We investigated 322 variants in 88 small GTPase genes in germline DNA of 18,736 EOC patients and 26,138 controls of European ancestry using a custom genotype array and logistic regression fitting log-additive models. Functional annotation was used to identify biofeatures and expression quantitative trait loci that intersect with risk variants. One variant, ARHGEF10L (Rho guanine nucleotide exchange factor 10 like) rs2256787, was associated with increased endometrioid EOC risk (OR = 1.33, p = 4.46 x 10-6). Other variants of interest included another in ARHGEF10L, rs10788679, which was associated with invasive serous EOC risk (OR = 1.07, p = 0.00026) and two variants in AKAP6 (A-kinase anchoring protein 6) which were associated with risk of invasive EOC (rs1955513, OR = 0.90, p = 0.00033; rs927062, OR = 0.94, p = 0.00059). Functional annotation revealed that the two ARHGEF10L variants were located in super-enhancer regions and that AKAP6 rs927062 was associated with expression of GTPase gene ARHGAP5 (Rho GTPase activating protein 5). Inherited variants in ARHGEF10L and AKAP6, with potential transcriptional regulatory function and association with EOC risk, warrant investigation in independent EOC study populations.

Published
2018

25. Alcohol and lung cancer risk among never smokers: A pooled analysis from the international lung cancer consortium and the SYNERGY study

Author

Fehringer, Gordon, Brenner, Darren R, Zhang, Zuo‐Feng, Lee, Yuan‐Chin Amy, Matsuo, Keitaro, Ito, Hidemi, Lan, Qing, Vineis, Paolo, Johansson, Mattias, Overvad, Kim, Riboli, Elio, Trichopoulou, Antonia, Sacerdote, Carlotta, Stucker, Isabelle, Boffetta, Paolo, Brennan, Paul, Christiani, David C, Hong, Yun‐Chul, Landi, Maria Teresa, Morgenstern, Hal, Schwartz, Ann G, Wenzlaff, Angela S, Rennert, Gad, McLaughlin, John R, Harris, Curtis C, Olivo‐Marston, Susan, Orlow, Irene, Park, Bernard J, Zauderer, Marjorie, Dios, Juan M Barros, Raviña, Alberto Ruano, Siemiatycki, Jack, Koushik, Anita, Lazarus, Philip, Fernández‐Somoano, Ana, Tardon, Adonina, Le Marchand, Loic, Brenner, Hermann, Saum, Kai‐Uwe, Duell, Eric J, Andrew, Angeline S, Szeszenia‐Dabrowska, Neonila, Lissowska, Jolanta, Zaridze, David, Rudnai, Peter, Fabianova, Eleonora, Mates, Dana, Foretova, Lenka, Janout, Vladimir, Bencko, Vladimir, Holcatova, Ivana, Pesatori, Angela Cecilia, Consonni, Dario, Olsson, Ann, Straif, Kurt, and Hung, Rayjean J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Lung, Cancer, Substance Misuse, Tobacco, Alcoholism, Alcohol Use and Health, Tobacco Smoke and Health, Prevention, Lung Cancer, Cardiovascular, Stroke, Respiratory, Good Health and Well Being, Aged, Alcohol Drinking, Alcoholic Beverages, Asia, Case-Control Studies, Cohort Studies, Europe, Female, Humans, Lung Neoplasms, Male, Middle Aged, North America, Risk Factors, Smoking, alcohol, lung cancer, wine, beer, liquor, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

It is not clear whether alcohol consumption is associated with lung cancer risk. The relationship is likely confounded by smoking, complicating the interpretation of previous studies. We examined the association of alcohol consumption and lung cancer risk in a large pooled international sample, minimizing potential confounding of tobacco consumption by restricting analyses to never smokers. Our study included 22 case-control and cohort studies with a total of 2548 never-smoking lung cancer patients and 9362 never-smoking controls from North America, Europe and Asia within the International Lung Cancer Consortium (ILCCO) and SYNERGY Consortium. Alcohol consumption was categorized into amounts consumed (grams per day) and also modelled as a continuous variable using restricted cubic splines for potential non-linearity. Analyses by histologic sub-type were included. Associations by type of alcohol consumed (wine, beer and liquor) were also investigated. Alcohol consumption was inversely associated with lung cancer risk with evidence most strongly supporting lower risk for light and moderate drinkers relative to non-drinkers (>0-4.9 g per day: OR = 0.80, 95% CI = 0.70-0.90; 5-9.9 g per day: OR = 0.82, 95% CI = 0.69-0.99; 10-19.9 g per day: OR = 0.79, 95% CI = 0.65-0.96). Inverse associations were found for consumption of wine and liquor, but not beer. The results indicate that alcohol consumption is inversely associated with lung cancer risk, particularly among subjects with low to moderate consumption levels, and among wine and liquor drinkers, but not beer drinkers. Although our results should have no relevant bias from the confounding effect of smoking we cannot preclude that confounding by other factors contributed to the observed associations. Confounding in relation to the non-drinker reference category may be of particular importance.

Published
2017

26. Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study

Author

Carreras-Torres, Robert, Johansson, Mattias, Haycock, Philip C, Wade, Kaitlin H, Relton, Caroline L, Martin, Richard M, Smith, George Davey, Albanes, Demetrius, Aldrich, Melinda C, Andrew, Angeline, Arnold, Susanne M, Bickeböller, Heike, Bojesen, Stig E, Brunnström, Hans, Manjer, Jonas, Brüske, Irene, Caporaso, Neil E, Chen, Chu, Christiani, David C, Christian, W Jay, Doherty, Jennifer A, Duell, Eric J, Field, John K, Davies, Michael PA, Marcus, Michael W, Goodman, Gary E, Grankvist, Kjell, Haugen, Aage, Hong, Yun-Chul, Kiemeney, Lambertus A, van der Heijden, Erik HFM, Kraft, Peter, Johansson, Mikael B, Lam, Stephen, Landi, Maria Teresa, Lazarus, Philip, Le Marchand, Loïc, Liu, Geoffrey, Melander, Olle, Park, Sungshim L, Rennert, Gad, Risch, Angela, Haura, Eric B, Scelo, Ghislaine, Zaridze, David, Mukeriya, Anush, Savić, Milan, Lissowska, Jolanta, Swiatkowska, Beata, Janout, Vladimir, Holcatova, Ivana, Mates, Dana, Schabath, Matthew B, Shen, Hongbing, Tardon, Adonina, Teare, M Dawn, Woll, Penella, Tsao, Ming-Sound, Wu, Xifeng, Yuan, Jian-Min, Hung, Rayjean J, Amos, Christopher I, McKay, James, and Brennan, Paul

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Genetics, Lung, Nutrition, Tobacco Smoke and Health, Prevention, Cancer, Tobacco, Obesity, Clinical Research, Lung Cancer, Aetiology, 2.1 Biological and endogenous factors, Body Mass Index, Fasting, Humans, Insulin, Insulin Resistance, Likelihood Functions, Lipids, Lung Neoplasms, Mendelian Randomization Analysis, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, General Science & Technology
Abstract

BackgroundAssessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic instrumental variables to assess causality, may help to identify the metabolic drivers of lung cancer.Methods and findingsWe identified genetic instruments for potential metabolic risk factors and evaluated these in relation to risk using 29,266 lung cancer cases (including 11,273 adenocarcinomas, 7,426 squamous cell and 2,664 small cell cases) and 56,450 controls. The MR risk analysis suggested a causal effect of body mass index (BMI) on lung cancer risk for two of the three major histological subtypes, with evidence of a risk increase for squamous cell carcinoma (odds ratio (OR) [95% confidence interval (CI)] = 1.20 [1.01-1.43] and for small cell lung cancer (OR [95%CI] = 1.52 [1.15-2.00]) for each standard deviation (SD) increase in BMI [4.6 kg/m2]), but not for adenocarcinoma (OR [95%CI] = 0.93 [0.79-1.08]) (Pheterogeneity = 4.3x10-3). Additional analysis using a genetic instrument for BMI showed that each SD increase in BMI increased cigarette consumption by 1.27 cigarettes per day (P = 2.1x10-3), providing novel evidence that a genetic susceptibility to obesity influences smoking patterns. There was also evidence that low-density lipoprotein cholesterol was inversely associated with lung cancer overall risk (OR [95%CI] = 0.90 [0.84-0.97] per SD of 38 mg/dl), while fasting insulin was positively associated (OR [95%CI] = 1.63 [1.25-2.13] per SD of 44.4 pmol/l). Sensitivity analyses including a weighted-median approach and MR-Egger test did not detect other pleiotropic effects biasing the main results.ConclusionsOur results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma. The latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.

Published
2017

28. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Author

Mullins, Niamh, Forstner, Andreas J., O’Connell, Kevin S., Coombes, Brandon, Coleman, Jonathan R. I., Qiao, Zhen, Als, Thomas D., Bigdeli, Tim B., Børte, Sigrid, Bryois, Julien, Charney, Alexander W., Drange, Ole Kristian, Gandal, Michael J., Hagenaars, Saskia P., Ikeda, Masashi, Kamitaki, Nolan, Kim, Minsoo, Krebs, Kristi, Panagiotaropoulou, Georgia, Schilder, Brian M., Sloofman, Laura G., Steinberg, Stacy, Trubetskoy, Vassily, Winsvold, Bendik S., Won, Hong-Hee, Abramova, Liliya, Adorjan, Kristina, Agerbo, Esben, Al Eissa, Mariam, Albani, Diego, Alliey-Rodriguez, Ney, Anjorin, Adebayo, Antilla, Verneri, Antoniou, Anastasia, Awasthi, Swapnil, Baek, Ji Hyun, Bækvad-Hansen, Marie, Bass, Nicholas, Bauer, Michael, Beins, Eva C., Bergen, Sarah E., Birner, Armin, Bøcker Pedersen, Carsten, Bøen, Erlend, Boks, Marco P., Bosch, Rosa, Brum, Murielle, Brumpton, Ben M., Brunkhorst-Kanaan, Nathalie, Budde, Monika, Bybjerg-Grauholm, Jonas, Byerley, William, Cairns, Murray, Casas, Miquel, Cervantes, Pablo, Clarke, Toni-Kim, Cruceanu, Cristiana, Cuellar-Barboza, Alfredo, Cunningham, Julie, Curtis, David, Czerski, Piotr M., Dale, Anders M., Dalkner, Nina, David, Friederike S., Degenhardt, Franziska, Djurovic, Srdjan, Dobbyn, Amanda L., Douzenis, Athanassios, Elvsåshagen, Torbjørn, Escott-Price, Valentina, Ferrier, I. Nicol, Fiorentino, Alessia, Foroud, Tatiana M., Forty, Liz, Frank, Josef, Frei, Oleksandr, Freimer, Nelson B., Frisén, Louise, Gade, Katrin, Garnham, Julie, Gelernter, Joel, Giørtz Pedersen, Marianne, Gizer, Ian R., Gordon, Scott D., Gordon-Smith, Katherine, Greenwood, Tiffany A., Grove, Jakob, Guzman-Parra, José, Ha, Kyooseob, Haraldsson, Magnus, Hautzinger, Martin, Heilbronner, Urs, Hellgren, Dennis, Herms, Stefan, Hoffmann, Per, Holmans, Peter A., Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S., Kalman, Janos L., Kamatani, Yoichiro, Kennedy, James L., Kittel-Schneider, Sarah, Knowles, James A., Kogevinas, Manolis, Koromina, Maria, Kranz, Thorsten M., Kranzler, Henry R., Kubo, Michiaki, Kupka, Ralph, Kushner, Steven A., Lavebratt, Catharina, Lawrence, Jacob, Leber, Markus, Lee, Heon-Jeong, Lee, Phil H., Levy, Shawn E., Lewis, Catrin, Liao, Calwing, Lucae, Susanne, Lundberg, Martin, MacIntyre, Donald J., Magnusson, Sigurdur H., Maier, Wolfgang, Maihofer, Adam, Malaspina, Dolores, Maratou, Eirini, Martinsson, Lina, Mattheisen, Manuel, McCarroll, Steven A., McGregor, Nathaniel W., McGuffin, Peter, McKay, James D., Medeiros, Helena, Medland, Sarah E., Millischer, Vincent, Montgomery, Grant W., Moran, Jennifer L., Morris, Derek W., Mühleisen, Thomas W., O’Brien, Niamh, O’Donovan, Claire, Olde Loohuis, Loes M., Oruc, Lilijana, Papiol, Sergi, Pardiñas, Antonio F., Perry, Amy, Pfennig, Andrea, Porichi, Evgenia, Potash, James B., Quested, Digby, Raj, Towfique, Rapaport, Mark H., DePaulo, J. Raymond, Regeer, Eline J., Rice, John P., Rivas, Fabio, Rivera, Margarita, Roth, Julian, Roussos, Panos, Ruderfer, Douglas M., Sánchez-Mora, Cristina, Schulte, Eva C., Senner, Fanny, Sharp, Sally, Shilling, Paul D., Sigurdsson, Engilbert, Sirignano, Lea, Slaney, Claire, Smeland, Olav B., Smith, Daniel J., Sobell, Janet L., Søholm Hansen, Christine, Soler Artigas, Maria, Spijker, Anne T., Stein, Dan J., Strauss, John S., Świątkowska, Beata, Terao, Chikashi, Thorgeirsson, Thorgeir E., Toma, Claudio, Tooney, Paul, Tsermpini, Evangelia-Eirini, Vawter, Marquis P., Vedder, Helmut, Walters, James T. R., Witt, Stephanie H., Xi, Simon, Xu, Wei, Yang, Jessica Mei Kay, Young, Allan H., Young, Hannah, Zandi, Peter P., Zhou, Hang, Zillich, Lea, Adolfsson, Rolf, Agartz, Ingrid, Alda, Martin, Alfredsson, Lars, Babadjanova, Gulja, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Bengesser, Susanne, Berrettini, Wade H., Blackwood, Douglas H. R., Boehnke, Michael, Børglum, Anders D., Breen, Gerome, Carr, Vaughan J., Catts, Stanley, Corvin, Aiden, Craddock, Nicholas, Dannlowski, Udo, Dikeos, Dimitris, Esko, Tõnu, Etain, Bruno, Ferentinos, Panagiotis, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gershon, Elliot S., Goes, Fernando S., Green, Melissa J., Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Henskens, Frans, Hillert, Jan, Hong, Kyung Sue, Hougaard, David M., Hultman, Christina M., Hveem, Kristian, Iwata, Nakao, Jablensky, Assen V., Jones, Ian, Jones, Lisa A., Kahn, René S., Kelsoe, John R., Kirov, George, Landén, Mikael, Leboyer, Marion, Lewis, Cathryn M., Li, Qingqin S., Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, Martin, Nicholas G., Mathews, Carol A., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Melle, Ingrid, Michie, Patricia, Milani, Lili, Mitchell, Philip B., Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Mowry, Bryan, Müller-Myhsok, Bertram, Myers, Richard M., Neale, Benjamin M., Nievergelt, Caroline M., Nordentoft, Merete, Nöthen, Markus M., O’Donovan, Michael C., Oedegaard, Ketil J., Olsson, Tomas, Owen, Michael J., Paciga, Sara A., Pantelis, Chris, Pato, Carlos, Pato, Michele T., Patrinos, George P., Perlis, Roy H., Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rietschel, Marcella, Ripke, Stephan, Rouleau, Guy A., Saito, Takeo, Schall, Ulrich, Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Shannon Weickert, Cynthia, Smoller, Jordan W., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Streit, Fabian, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Thomas W., Werge, Thomas, Wray, Naomi R., Zwart, John-Anker, Biernacka, Joanna M., Nurnberger, John I., Cichon, Sven, Edenberg, Howard J., Stahl, Eli A., McQuillin, Andrew, Di Florio, Arianna, Ophoff, Roel A., and Andreassen, Ole A.

Published
2021
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29. Genome-wide association analyses identify new susceptibility loci for oral cavity and pharyngeal cancer

Author

Lesseur, Corina, Diergaarde, Brenda, Olshan, Andrew F, Wünsch-Filho, Victor, Ness, Andrew R, Liu, Geoffrey, Lacko, Martin, Eluf-Neto, José, Franceschi, Silvia, Lagiou, Pagona, Macfarlane, Gary J, Richiardi, Lorenzo, Boccia, Stefania, Polesel, Jerry, Kjaerheim, Kristina, Zaridze, David, Johansson, Mattias, Menezes, Ana M, Curado, Maria Paula, Robinson, Max, Ahrens, Wolfgang, Canova, Cristina, Znaor, Ariana, Castellsagué, Xavier, Conway, David I, Holcátová, Ivana, Mates, Dana, Vilensky, Marta, Healy, Claire M, Szeszenia-Dąbrowska, Neonila, Fabiánová, Eleonóra, Lissowska, Jolanta, Grandis, Jennifer R, Weissler, Mark C, Tajara, Eloiza H, Nunes, Fabio D, de Carvalho, Marcos B, Thomas, Steve, Hung, Rayjean J, Peters, Wilbert HM, Herrero, Rolando, Cadoni, Gabriella, Bueno-de-Mesquita, H Bas, Steffen, Annika, Agudo, Antonio, Shangina, Oxana, Xiao, Xiangjun, Gaborieau, Valérie, Chabrier, Amélie, Anantharaman, Devasena, Boffetta, Paolo, Amos, Christopher I, McKay, James D, and Brennan, Paul

Subjects
Biological Sciences, Genetics, Cancer, Clinical Research, Dental/Oral and Craniofacial Disease, Digestive Diseases, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Aged, Case-Control Studies, Female, Genetic Markers, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, HLA Antigens, Haplotypes, Humans, Male, Middle Aged, Mouth, Mouth Neoplasms, Papillomaviridae, Papillomavirus Infections, Pharyngeal Neoplasms, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

We conducted a genome-wide association study of oral cavity and pharyngeal cancer in 6,034 cases and 6,585 controls from Europe, North America and South America. We detected eight significantly associated loci (P < 5 × 10-8), seven of which are new for these cancer sites. Oral and pharyngeal cancers combined were associated with loci at 6p21.32 (rs3828805, HLA-DQB1), 10q26.13 (rs201982221, LHPP) and 11p15.4 (rs1453414, OR52N2-TRIM5). Oral cancer was associated with two new regions, 2p23.3 (rs6547741, GPN1) and 9q34.12 (rs928674, LAMC3), and with known cancer-related loci-9p21.3 (rs8181047, CDKN2B-AS1) and 5p15.33 (rs10462706, CLPTM1L). Oropharyngeal cancer associations were limited to the human leukocyte antigen (HLA) region, and classical HLA allele imputation showed a protective association with the class II haplotype HLA-DRB1*1301-HLA-DQA1*0103-HLA-DQB1*0603 (odds ratio (OR) = 0.59, P = 2.7 × 10-9). Stratified analyses on a subgroup of oropharyngeal cases with information available on human papillomavirus (HPV) status indicated that this association was considerably stronger in HPV-positive (OR = 0.23, P = 1.6 × 10-6) than in HPV-negative (OR = 0.75, P = 0.16) cancers.

Published
2016

30. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships

Author

Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan

Abstract

OBJECTIVES: The quantitative job-exposure matrix SYN-JEM consists of various dimensions: job-specific estimates, region-specific estimates, and prior expert ratings of jobs by the semi-quantitative DOM-JEM. We analyzed the effect of different JEM dimensions on the exposure-response relationships between occupational silica exposure and lung cancer risk to investigate how these variations influence estimates of exposure by a quantitative JEM and associated health endpoints.METHODS: Using SYN-JEM, and alternative SYN-JEM specifications with varying dimensions included, cumulative silica exposure estimates were assigned to 16 901 lung cancer cases and 20 965 controls pooled from 14 international community-based case-control studies. Exposure-response relationships based on SYN-JEM and alternative SYN-JEM specifications were analyzed using regression analyses (by quartiles and log-transformed continuous silica exposure) and generalized additive models (GAM), adjusted for age, sex, study, cigarette pack-years, time since quitting smoking, and ever employment in occupations with established lung cancer risk.RESULTS: SYN-JEM and alternative specifications generated overall elevated and similar lung cancer odds ratios ranging from 1.13 (1st quartile) to 1.50 (4th quartile). In the categorical and log-linear analyses SYN-JEM with all dimensions included yielded the best model fit, and exclusion of job-specific estimates from SYN-JEM yielded the poorest model fit. Additionally, GAM showed the poorest model fit when excluding job-specific estimates.CONCLUSION: The established exposure-response relationship between occupational silica exposure and lung cancer was marginally influenced by varying the dimensions of SYN-JEM. Optimized modelling of exposure-response relationships will be obtained when incorporating all relevant dimensions, namely prior rating, job, time, and region. Quantitative job-specific estimates appeared to be the most prominent dimens

Published
2024

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

Author

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

Abstract

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

Published
2024

32. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships

Author

Planetary Health & Exposoom, Cancer, Circulatory Health, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Lissowska, Jolanta, Swiatkowska, Beata, Field, John K., McLaughlin, John R., Demers, Paul A., Pandics, Tamas, Forastiere, Franc Esco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, Planetary Health & Exposoom, Cancer, Circulatory Health, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E., Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Lissowska, Jolanta, Swiatkowska, Beata, Field, John K., McLaughlin, John R., Demers, Paul A., Pandics, Tamas, Forastiere, Franc Esco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan

Published
2024

33. Lung Cancer Risks Associated with Occupational Exposure to Pairs of Five Lung Carcinogens: Results from a Pooled Analysis of Case-Control Studies (SYNERGY)

Author

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

Published
2024

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

Author

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

Published
2024

35. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure-response relationships

Author

IRAS OH Epidemiology Chemical Agents, Institute for Risk Assesment Sciences, IRAS – One Health Chemical, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, Peters, Susan, IRAS OH Epidemiology Chemical Agents, Institute for Risk Assesment Sciences, IRAS – One Health Chemical, Ohlander, Johan, Kromhout, Hans, Vermeulen, Roel, Portengen, Lützen, Kendzia, Benjamin, Savary, Barbara, Cavallo, Domenico, Cattaneo, Andrea, Migliori, Enrica, Richiardi, Lorenzo, Plato, Nils, Wichmann, Heinz-Erich, Karrasch, Stefan, Consonni, Dario, Landi, Maria Teresa, Caporaso, Neil E, Siemiatycki, Jack, Gustavsson, Per, Jöckel, Karl-Heinz, Ahrens, Wolfgang, Pohlabeln, Hermann, Fernández-Tardón, Guillermo, Zaridze, David, Jolanta Lissowska, Jolanta Lissowska, Beata Swiatkowska, Beata Swiatkowska, John K Field, John K Field, McLaughlin, John R, Demers, Paul A, Pandics, Tamas, Forastiere, Francesco, Fabianova, Eleonora, Schejbalova, Miriam, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Barul, Christine, Brüning, Thomas, Behrens, Thomas, Straif, Kurt, Schüz, Joachim, Olsson, Ann, and Peters, Susan

Published
2024

36. Fine-mapping genomic loci refines bipolar disorder risk genes

Author

Koromina, Maria, Ravi, Ashvin, Panagiotaropoulou, Georgia, Schilder, Brian M., Humphrey, Jack, Braun, Alice, Bidgeli, Tim, Chatzinakos, Chris, Coombes, Brandon, Kim, Jaeyoung, Liu, Xiaoxi, Terao, Chikashi, O'Connell, Kevin S., Adams, Mark, Adolfsson, Rolf, Alda, Martin, Alfredsson, Lars, Andlauer, Till, Andreassen, Ole A., Antoniou, Anastasia, Baune, Bernhard T., Bengesser, Susanne, Biernacka, Joanna, Boehnke, Michael, Bosch, Rosa, Cairns, Murray, Carr, Vaughan J., Casas Brugué, Miquel, Catts, Stanley, Cichon, Sven, Corvin, Aiden, Craddock, Nicholas, Dafnas, Konstantinos, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, Di Florio, Arianna, Dikeos, Dimitris, Fellendorf, Frederike Tabea, Ferentinos, Panagiotis, Forstner, Andreas Josef, Forty, Liz, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gizer, Ian R., Gordon-Smith, Katherine, Green, Melissa J., Grigoroiu-Serbanescu, Maria, Guzman-Parra, José, Hahn, Tim, Henskens, Frans, Hillert, Jan, Jablensky, Assen V., Jones, Lisa, Jones, Ian, Jonsson, Lina, Kelsoe, John R., Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Kogevinas, Manolis, Landén, Mikael, Leboyer, Marion, Lenger, Melanie, Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, MacIntyre, Donald, Martin, Nicholas G., Maratou, Eirini, Mathews, Carol A., Mayoral, Fermı́n, McElroy, Susan L., McGregor, Nathaniel W., McIntosh, Andrew M., McQuillin, Andrew, Michie, Patricia, Milanova, Vihra, Mitchell, Philip B., Moutsatsou, Paraskevi, Mowry, Bryan, Müller-Myhsok, Bertram, Myers, Richard M., Nenadić, Igor, Nöthen, Markus Maria, O'Donovan, Claire, O'Donovan, Michael, Ophoff, Roel André, Owen, Michael J., Pantelis, Christos, Pato, Carlos, Pato, Michele T., Patrinos, George P., Pawlak, Joanna M., Perlis, Roy H., Porichi, Evgenia, Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rietschel, Marcella, Schall, Ulrich, Schulze, Thomas Gerd, Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Shannon Weickert, Cynthia, Smoller, Jordan W., Soler Artigas, Marı́a, Stein, Dan J., Streit, Fabian, Toma, Claudio, Tooney, Paul, Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Thomas, Witt, Stephanie H., Hong, Kyung Sue, Ikeda, Masashi, Iwata, Nakao, Świątkowska, Beata, Won, Hong-Hee, Edenberg, Howard J., Ripke, Stephan, Raj, Towfique, Coleman, Jonathan R. I., Mullins, Niamh, Koromina, Maria, Ravi, Ashvin, Panagiotaropoulou, Georgia, Schilder, Brian M., Humphrey, Jack, Braun, Alice, Bidgeli, Tim, Chatzinakos, Chris, Coombes, Brandon, Kim, Jaeyoung, Liu, Xiaoxi, Terao, Chikashi, O'Connell, Kevin S., Adams, Mark, Adolfsson, Rolf, Alda, Martin, Alfredsson, Lars, Andlauer, Till, Andreassen, Ole A., Antoniou, Anastasia, Baune, Bernhard T., Bengesser, Susanne, Biernacka, Joanna, Boehnke, Michael, Bosch, Rosa, Cairns, Murray, Carr, Vaughan J., Casas Brugué, Miquel, Catts, Stanley, Cichon, Sven, Corvin, Aiden, Craddock, Nicholas, Dafnas, Konstantinos, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, Di Florio, Arianna, Dikeos, Dimitris, Fellendorf, Frederike Tabea, Ferentinos, Panagiotis, Forstner, Andreas Josef, Forty, Liz, Frye, Mark, Fullerton, Janice M., Gawlik, Micha, Gizer, Ian R., Gordon-Smith, Katherine, Green, Melissa J., Grigoroiu-Serbanescu, Maria, Guzman-Parra, José, Hahn, Tim, Henskens, Frans, Hillert, Jan, Jablensky, Assen V., Jones, Lisa, Jones, Ian, Jonsson, Lina, Kelsoe, John R., Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Kogevinas, Manolis, Landén, Mikael, Leboyer, Marion, Lenger, Melanie, Lissowska, Jolanta, Lochner, Christine, Loughland, Carmel, MacIntyre, Donald, Martin, Nicholas G., Maratou, Eirini, Mathews, Carol A., Mayoral, Fermı́n, McElroy, Susan L., McGregor, Nathaniel W., McIntosh, Andrew M., McQuillin, Andrew, Michie, Patricia, Milanova, Vihra, Mitchell, Philip B., Moutsatsou, Paraskevi, Mowry, Bryan, Müller-Myhsok, Bertram, Myers, Richard M., Nenadić, Igor, Nöthen, Markus Maria, O'Donovan, Claire, O'Donovan, Michael, Ophoff, Roel André, Owen, Michael J., Pantelis, Christos, Pato, Carlos, Pato, Michele T., Patrinos, George P., Pawlak, Joanna M., Perlis, Roy H., Porichi, Evgenia, Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Reif, Andreas, Reininghaus, Eva Z., Ribasés, Marta, Rietschel, Marcella, Schall, Ulrich, Schulze, Thomas Gerd, Scott, Laura J., Scott, Rodney J., Serretti, Alessandro, Shannon Weickert, Cynthia, Smoller, Jordan W., Soler Artigas, Marı́a, Stein, Dan J., Streit, Fabian, Toma, Claudio, Tooney, Paul, Vieta, Eduard, Vincent, John B., Waldman, Irwin D., Weickert, Thomas, Witt, Stephanie H., Hong, Kyung Sue, Ikeda, Masashi, Iwata, Nakao, Świątkowska, Beata, Won, Hong-Hee, Edenberg, Howard J., Ripke, Stephan, Raj, Towfique, Coleman, Jonathan R. I., and Mullins, Niamh

Abstract

Bipolar disorder (BD) is a heritable mental illness with complex etiology. While the largest published genome-wide association study identified 64 BD risk loci, the causal SNPs and genes within these loci remain unknown. We applied a suite of statistical and functional fine-mapping methods to these loci, and prioritized 22 likely causal SNPs for BD. We mapped these SNPs to genes, and investigated their likely functional consequences by integrating variant annotations, brain cell-type epigenomic annotations, brain quantitative trait loci, and results from rare variant exome sequencing in BD. Convergent lines of evidence supported the roles of SCN2A, TRANK1, DCLK3, INSYN2B, SYNE1, THSD7A, CACNA1B, TUBBP5, PLCB3, PRDX5, KCNK4, AP001453.3, TRPT1, FKBP2, DNAJC4, RASGRP1, FURIN, FES, YWHAE, DPH1, GSDMB, MED24, THRA, EEF1A2, and KCNQ2 in BD. These represent promising candidates for functional experiments to understand biological mechanisms and therapeutic potential. Additionally, we demonstrated that fine-mapping effect sizes can improve performance and transferability of BD polygenic risk scores across ancestrally diverse populations, and present a high-throughput fine-mapping pipeline (https://github.com/mkoromina/SAFFARI).

Published
2024

37. The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls

Author

Byrne, Enda M., Forstner, Andreas J., Holmans, Peter A., de Leeuw, Christiaan A., Mattheisen, Manuel, McQuillin, Andrew, Whitehead Pavlides, Jennifer M., Pers, Tune H., Ripke, Stephan, Stahl, Eli A., Steinberg, Stacy, Trubetskoy, Vassily, Trzaskowski, Maciej, Wang, Yunpeng, Abbott, Liam, Abdellaoui, Abdel, Adams, Mark J., Adolfsson, Annelie Nordin, Agerbo, Esben, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D., Andlauer, Till F.M., Anjorin, Adebayo, Antilla, Verneri, Van der Auwera, Sandra, Awasthi, Swapnil, Bacanu, Silviu-Alin, Badner, Judith A., Bækvad-Hansen, Marie, Barchas, Jack D., Bass, Nicholas, Bauer, Michael, Beekman, Aartjan T.F., Belliveau, Richard, Bergen, Sarah E., Bigdeli, Tim B., Binder, Elisabeth B., Bøen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Byerley, William, Cai, Na, Casas, Miquel, Castelao, Enrique, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W., Chen, Danfeng, Christensen, Jane Hvarregaard, Churchhouse, Claire, St Clair, David, Clarke, Toni-Kim, Colodro-Conde, Lucía, Coryell, William, Couvy-Duchesne, Baptiste, Craig, David W., Crawford, Gregory E., Cruceanu, Cristiana, Czerski, Piotr M., Dale, Anders M., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J Raymond, Derks, Eske M., Direk, Nese, Djurovic, Srdjan, Dobbyn, Amanda L., Dolan, Conor V., Dumont, Ashley, Dunn, Erin C., Eley, Thalia C., Elvsåshagen, Torbjørn, Escott-Price, Valentina, Fan, Chun Chieh, Finucane, Hilary K., Fischer, Sascha B., Flickinger, Matthew, Foo, Jerome C., Foroud, Tatiana M., Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B., Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Goes, Fernando S., Goldstein, Jaqueline, Gordon, Scott D., Gordon-Smith, Katherine, Green, Elaine K., Green, Melissa J., Greenwood, Tiffany A., Grove, Jakob, Guan, Weihua, Hall, Lynsey S., Hamshere, Marian L., Hansen, Christine Søholm, Hansen, Thomas F., Hautzinger, Martin, Heilbronner, Urs, van Hemert, Albert M., Herms, Stefan, Hickie, Ian B., Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Huckins, Laura, Ising, Marcus, Jamain, Stéphane, Jansen, Rick, Johnson, Jessica S., de Jong, Simone, Jorgenson, Eric, Juréus, Anders, Kandaswamy, Radhika, Karlsson, Robert, Kennedy, James L., Hassan Kiadeh, Farnush Farhadi, Kittel-Schneider, Sarah, Knowles, James A., Kogevinas, Manolis, Kohane, Isaac S., Koller, Anna C., Kraft, Julia, Kretzschmar, Warren W., Krogh, Jesper, Kupka, Ralph, Kutalik, Zoltán, Lavebratt, Catharina, Lawrence, Jacob, Lawson, William B., Leber, Markus, Lee, Phil H., Levy, Shawn E., Li, Jun Z., Li, Yihan, Lind, Penelope A., Liu, Chunyu, Olde Loohuis, Loes M., Maaser, Anna, MacIntyre, Donald J., MacKinnon, Dean F., Mahon, Pamela B., Maier, Wolfgang, Maier, Robert M., Marchini, Jonathan, Martinsson, Lina, Mbarek, Hamdi, McCarroll, Steve, McGrath, Patrick, McGuffin, Peter, McInnis, Melvin G., McKay, James D., Medeiros, Helena, Medland, Sarah E., Mehta, Divya, Meng, Fan, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mirza, Saira Saeed, Mondimore, Francis M., Montgomery, Grant W., Morris, Derek W., Mostafavi, Sara, Mühleisen, Thomas W., Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nguyen, Hoang, Nievergelt, Caroline M., Nivard, Michel G., Nwulia, Evaristus A., Nyholt, Dale R., O'Donovan, Claire, O'Reilly, Paul F., Ori, Anil P.S., Oruc, Lilijana, Ösby, Urban, Oskarsson, Hogni, Painter, Jodie N., Parra, José Guzman, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Perry, Amy, Peterson, Roseann E., Pettersson, Erik, Peyrot, Wouter J., Pfennig, Andrea, Pistis, Giorgio, Purcell, Shaun M., Quiroz, Jorge A., Qvist, Per, Regeer, Eline J., Reif, Andreas, Reinbold, Céline S., Rice, John P., Riley, Brien P., Rivas, Fabio, Rivera, Margarita, Roussos, Panos, Ruderfer, Douglas M., Ryu, Euijung, Sánchez-Mora, Cristina, Schatzberg, Alan F., Scheftner, William A., Schoevers, Robert, Schork, Nicholas J., Schulte, Eva C., Shehktman, Tatyana, Shen, Ling, Shi, Jianxin, Shilling, Paul D., Shyn, Stanley I., Sigurdsson, Engilbert, Slaney, Claire, Smeland, Olav B., Smit, Johannes H., Smith, Daniel J., Sobell, Janet L., Spijker, Anne T., Steffens, Michael, Strauss, John S., Streit, Fabian, Strohmaier, Jana, Szelinger, Szabolcs, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Robert C., Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Uitterlinden, André G., Umbricht, Daniel, Vedder, Helmut, Viktorin, Alexander, Visscher, Peter M., Wang, Weiqing, Watson, Stanley J., Webb, Bradley T., Weickert, Cynthia Shannon, Weickert, Thomas W., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Xu, Wei, Yang, Jian, Young, Allan H., Zandi, Peter, Zhang, Peng, Zhang, Futao, Zollner, Sebastian, Adolfsson, Rolf, Agartz, Ingrid, Alda, Martin, Arolt, Volker, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Berger, Klaus, Berrettini, Wade H., Biernacka, Joanna M., Blackwood, Douglas H.R., Boehnke, Michael, Boomsma, Dorret I., Corvin, Aiden, Craddock, Nicholas, Daly, Mark J., Dannlowski, Udo, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Etain, Bruno, Frye, Mark, Fullerton, Janice M., Gershon, Elliot S., de Geus, E.J.C., Gill, Michael, Goes, Fernando, Grabe, Hans J., Grigoroiu-Serbanescu, Maria, Hamilton, Steven P., Hauser, Joanna, Hayward, Caroline, Heath, Andrew C., Hougaard, David M., Hultman, Christina M., Jones, Ian, Jones, Lisa A., Kahn, René S., Kendler, Kenneth S., Kirov, George, Kloiber, Stefan, Landén, Mikael, Leboyer, Marion, Lewis, Glyn, Li, Qingqin S., Lissowska, Jolanta, Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Melle, Ingrid, Metspalu, Andres, Mitchell, Philip B., Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Myers, Richard M., Neale, Benjamin M., Nimgaonkar, Vishwajit, Nordentoft, Merete, Nöthen, Markus M., O'Donovan, Michael C., Oedegaard, Ketil J., Owen, Michael J., Paciga, Sara A., Pato, Carlos, Pato, Michele T., Pedersen, Nancy L., Penninx, Brenda W.J. H., Perlis, Roy H., Porteous, David J., Posthuma, Danielle, Potash, James B., Preisig, Martin, Ramos-Quiroga, Josep Antoni, Ribasés, Marta, Rietschel, Marcella, Rouleau, Guy A., Schaefer, Catherine, Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Serretti, Alessandro, Smoller, Jordan W., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Tiemeier, Henning, Turecki, Gustavo, Uher, Rudolf, Vaaler, Arne E., Vieta, Eduard, Vincent, John B., Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Andreassen, Ole A., Børglum, Anders D., Cichon, Sven, Edenberg, Howard J., Di Florio, Arianna, Kelsoe, John, Levinson, Douglas F., Lewis, Cathryn M., Nurnberger, John I., Ophoff, Roel A., Scott, Laura J., Sklar, Pamela, Sullivan, Patrick F., Wray, Naomi R., Coleman, Jonathan R.I., Gaspar, Héléna A., Bryois, Julien, and Breen, Gerome

Published
2020
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38. Fine-mapping genomic loci refines bipolar disorder risk genes

Author

Koromina, Maria, primary, Ravi, Ashvin, additional, Panagiotaropoulou, Georgia, additional, Schilder, Brian M., additional, Humphrey, Jack, additional, Braun, Alice, additional, Bidgeli, Tim, additional, Chatzinakos, Chris, additional, Coombes, Brandon, additional, Kim, Jaeyoung, additional, Liu, Xiaoxi, additional, Terao, Chikashi, additional, O'Connell, Kevin S., additional, Adams, Mark, additional, Adolfsson, Rolf, additional, Alda, Martin, additional, Alfredsson, Lars, additional, Andlauer, Till F.M., additional, Andreassen, Ole A., additional, Antoniou, Anastasia, additional, Baune, Bernhard T., additional, Bengesser, Susanne, additional, Biernacka, Joanna, additional, Boehnke, Michael, additional, Bosch, Rosa, additional, Cairns, Murray, additional, Carr, Vaughan J., additional, Casas, Miquel, additional, Catts, Stanley, additional, Cichon, Sven, additional, Corvin, Aiden, additional, Craddock, Nicholas, additional, Dafnas, Konstantinos, additional, Dalkner, Nina, additional, Dannlowski, Udo, additional, Degenhardt, Franziska, additional, Di Florio, Arianna, additional, Dikeos, Dimitris, additional, Fellendorf, Frederike Tabea, additional, Ferentinos, Panagiotis, additional, Forstner, Andreas J., additional, Forty, Liz, additional, Frye, Mark, additional, Fullerton, Janice M., additional, Gawlik, Micha, additional, Gizer, Ian R., additional, Gordon-Smith, Katherine, additional, Green, Melissa J., additional, Grigoroiu-Serbanescu, Maria, additional, Guzman-Parra, Josep, additional, Hahn, Tim, additional, Henskens, Frans, additional, Hillert, Jan, additional, Jablensky, Assen V., additional, Jones, Lisa, additional, Jones, Ian, additional, Jonsson, Lina, additional, Kelsoe, John R., additional, Kircher, Tilo, additional, Kirov, George, additional, Kittel-Schneider, Sarah, additional, Kogevinas, Manolis, additional, Landen, Mikael, additional, Leboyer, Marion, additional, Lenger, Melanie, additional, Lissowska, Jolanta, additional, Lochner, Christine, additional, Loughland, Carmel, additional, MacIntyre, Donald, additional, Martin, Nicholas G., additional, Maratou, Eirini, additional, Mathews, Carol A., additional, Mayoral, Fermin, additional, McElroy, Susan L., additional, McGregor, Nathaniel W., additional, McIntosh, Andrew, additional, McQuillin, Andrew, additional, Michie, Patricia, additional, Mitchell, Philip B., additional, Moutsatsou, Paraskevi, additional, Mowry, Bryan, additional, Mueller-Myhsok, Bertram, additional, Myers, Richard, additional, Nenadic, Igor, additional, Noethen, Markus M., additional, O'Donovan, Michael, additional, O'Donovan, Claire, additional, Ophoff, Roel A., additional, Owen, Michael J., additional, Pantelis, Chris, additional, Pato, Carlos, additional, Pato, Michele T., additional, Patrinos, George P., additional, Pawlak, Joanna M., additional, Perlis, Roy H., additional, Porichi, Evgenia, additional, Posthuma, Danielle, additional, Ramos-Quiroga, Josep Antoni, additional, Reif, Andreas, additional, Reininghaus, Eva Z., additional, Ribases, Marta, additional, Rietschel, Marcella, additional, Schall, Ulrich, additional, Schulze, Thomas G., additional, Scott, Laura, additional, Scott, Rodney J., additional, Serretti, Alessandro, additional, Shannon Weickert, Cynthia, additional, Smoller, Jordan W., additional, Soler Artigas, Maria Soler, additional, Stein, Dan J., additional, Streit, Fabian, additional, Toma, Claudio, additional, Tooney, Paul, additional, Vieta, Eduard, additional, Vincent, John B., additional, Waldman, Irwin D., additional, Weickert, Thomas, additional, Witt, Stephanie H., additional, Swiatkowska, Beata, additional, Hong, Kyung Sue Sue, additional, Ikeda, Masashi, additional, Iwata, Nakao, additional, Won, Hong-Hee, additional, Edenberg, Howard J., additional, Ripke, Stephan, additional, Raj, Towfique, additional, Coleman, Jonathan R. I., additional, and Mullins, Niamh, additional

Published
2024
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39. Disease aetiology and progression shape the inter-patient multi-omics profile of clear cell renal carcinoma

Author

McKay, James, primary, Penha, Ricardo, additional, Sexton-Oates, Alexandra, additional, Senkin, Sergey, additional, Park, Hanla, additional, Atkins, Joshua, additional, Holcatova, Ivana, additional, Hornakova, Anna, additional, Savic, Slavisa, additional, Ognjanovic, Simona, additional, Swiatkowska, Beata, additional, Lissowska, Jolanta, additional, Zaridze, David, additional, Mukeria, Anush, additional, Janout, Vladimir, additional, Chabrier, Amelie, additional, Cahais, Vincent, additional, Cuenin, Cyrille, additional, Scelo, Ghislaine, additional, Foll, Matthieu, additional, Herceg, Zdenko, additional, Brennan, Paul, additional, Smith-Byrne, Karl, additional, and Alcala, Nicolas, additional

Published
2024
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40. Respirable crystalline silica and lung cancer in community-based studies: impact of job-exposure matrix specifications on exposure–response relationships

Author

Ohlander, Johan, primary, Kromhout, Hans, additional, Vermeulen, Roel, additional, Portengen, Lützen, additional, Kendzia, Benjamin, additional, Savary, Barbara, additional, Cavallo, Domenico, additional, Cattaneo, Andrea, additional, Migliori, Enrica, additional, Richiardi, Lorenzo, additional, Plato, Nils, additional, Wichmann, Heinz-Erich, additional, Karrasch, Stefan, additional, Consonni, Dario, additional, Landi, Maria Teresa, additional, Caporaso, Neil E, additional, Siemiatycki, Jack, additional, Gustavsson, Per, additional, Jöckel, Karl-Heinz, additional, Ahrens, Wolfgang, additional, Pohlabeln, Hermann, additional, Fernández-Tardón, Guillermo, additional, Zaridze, David, additional, Jolanta Lissowska, Jolanta Lissowska, additional, Beata Swiatkowska, Beata Swiatkowska, additional, John K Field, John K Field, additional, McLaughlin, John R, additional, Demers, Paul A, additional, Pandics, Tamas, additional, Forastiere, Francesco, additional, Fabianova, Eleonora, additional, Schejbalova, Miriam, additional, Foretova, Lenka, additional, Janout, Vladimir, additional, Mates, Dana, additional, Barul, Christine, additional, Brüning, Thomas, additional, Behrens, Thomas, additional, Straif, Kurt, additional, Schüz, Joachim, additional, Olsson, Ann, additional, and Peters, Susan, additional

Published
2024
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41. Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility: results from a large-scale collaboration

Author

Permuth, Jennifer B, Reid, Brett, Earp, Madalene, Chen, Y Ann, Monteiro, Alvaro NA, Chen, Zhihua, Group, AOCS Study, Chenevix-Trench, Georgia, Fasching, Peter A, Beckmann, Matthias W, Lambrechts, Diether, Vanderstichele, Adriaan, Van Niewenhuyse, Els, Vergote, Ignace, Rossing, Mary Anne, Doherty, Jennifer Anne, Chang-Claude, Jenny, Moysich, Kirsten, Odunsi, Kunle, Goodman, Marc T, Shvetsov, Yurii B, Wilkens, Lynne R, Thompson, Pamela J, Dörk, Thilo, Bogdanova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa, Leminen, Arto, Modugno, Francesmary, Edwards, Robert P, Ness, Roberta B, Kelley, Joseph, Heitz, Florian, Karlan, Beth, Lester, Jenny, Kjaer, Susanne K, Jensen, Allan, Giles, Graham, Hildebrandt, Michelle, Liang, Dong, Lu, Karen H, Wu, Xifeng, Levine, Douglas A, Bisogna, Maria, Berchuck, Andrew, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Poole, Elizabeth M, Bandera, Elisa V, Fridley, Brooke, Cunningham, Julie, Winham, Stacey J, Olson, Sara H, Orlow, Irene, Bjorge, Line, Kiemeney, Lambertus A, Massuger, Leon, Pejovic, Tanja, Moffitt, Melissa, Le, Nhu, Cook, Linda S, Brooks-Wilson, Angela, Kelemen, Linda E, Gronwald, Jacek, Lubinski, Jan, Wentzensen, Nicolas, Brinton, Louise A, Lissowska, Jolanta, Yang, Hanna, Hogdall, Estrid, Hogdall, Claus, Lundvall, Lene, Pharoah, Paul DP, Song, Honglin, Campbell, Ian, Eccles, Diana, McNeish, Iain, Whittemore, Alice, McGuire, Valerie, Sieh, Weiva, Rothstein, Joseph, Phelan, Catherine M, Risch, Harvey, Narod, Steven, McLaughlin, John, Anton-Culver, Hoda, Ziogas, Argyrios, Menon, Usha, Gayther, Simon, Ramus, Susan J, Gentry-Maharaj, Aleksandra, Pearce, Celeste Leigh, Wu, Anna H, Kupryjanczyk, Jolanta, Dansonka-Mieszkowska, Agnieszka, Schildkraut, Joellen M, Cheng, Jin Q, and Goode, Ellen L

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Ovarian Cancer, Cancer, Genetics, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Animals, Disease Susceptibility, Female, Genetic Variation, Humans, Middle Aged, Ovarian Neoplasms, Polymorphism, Single Nucleotide, RNA Editing, polymorphisms, RNA editing, ovarian cancer risk, AOCS Study Group, Oncology and carcinogenesis
Abstract

RNA editing in mammals is a form of post-transcriptional modification in which adenosine is converted to inosine by the adenosine deaminases acting on RNA (ADAR) family of enzymes. Based on evidence of altered ADAR expression in epithelial ovarian cancers (EOC), we hypothesized that single nucleotide polymorphisms (SNPs) in ADAR genes modify EOC susceptibility, potentially by altering ovarian tissue gene expression. Using directly genotyped and imputed data from 10,891 invasive EOC cases and 21,693 controls, we evaluated the associations of 5,303 SNPs in ADAD1, ADAR, ADAR2, ADAR3, and SND1. Unconditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI), with adjustment for European ancestry. We conducted gene-level analyses using the Admixture Maximum Likelihood (AML) test and the Sequence-Kernel Association test for common and rare variants (SKAT-CR). Association analysis revealed top risk-associated SNP rs77027562 (OR (95% CI)= 1.39 (1.17-1.64), P=1.0x10-4) in ADAR3 and rs185455523 in SND1 (OR (95% CI)= 0.68 (0.56-0.83), P=2.0x10-4). When restricting to serous histology (n=6,500), the magnitude of association strengthened for rs185455523 (OR=0.60, P=1.0x10-4). Gene-level analyses revealed that variation in ADAR was associated (P

Published
2016

42. Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

Author

Hampras, Shalaka S, Sucheston-Campbell, Lara E, Cannioto, Rikki, Chang-Claude, Jenny, Modugno, Francesmary, Dörk, Thilo, Hillemanns, Peter, Preus, Leah, Knutson, Keith L, Wallace, Paul K, Hong, Chi-Chen, Friel, Grace, Davis, Warren, Nesline, Mary, Pearce, Celeste L, Kelemen, Linda E, Goodman, Marc T, Bandera, Elisa V, Terry, Kathryn L, Schoof, Nils, Eng, Kevin H, Clay, Alyssa, Singh, Prashant K, Joseph, Janine M, Aben, Katja KH, Anton-Culver, Hoda, Antonenkova, Natalia, Baker, Helen, Bean, Yukie, Beckmann, Matthias W, Bisogna, Maria, Bjorge, Line, Bogdanova, Natalia, Brinton, Louise A, Brooks-Wilson, Angela, Bruinsma, Fiona, Butzow, Ralf, Campbell, Ian G, Carty, Karen, Cook, Linda S, Cramer, Daniel W, Cybulski, Cezary, Dansonka-Mieszkowska, Agnieszka, Dennis, Joe, Despierre, Evelyn, Dicks, Ed, Doherty, Jennifer A, du Bois, Andreas, Dürst, Matthias, Easton, Doug, Eccles, Diana, Edwards, Robert P, Ekici, Arif B, Fasching, Peter A, Fridley, Brooke L, Gao, Yu-Tang, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Gronwald, Jacek, Harrington, Patricia, Harter, Philipp, Hasmad, Hanis Nazihah, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hogdall, Claus, Hogdall, Estrid, Hosono, Satoyo, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Ji, Bu-Tian, Karlan, Beth Y, Kellar, Melissa, Kelley, Joseph L, Kiemeney, Lambertus A, Klapdor, Rüdiger, Kolomeyevskaya, Nonna, Krakstad, Camilla, Kjaer, Susanne K, Kruszka, Bridget, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lambrechts, Sandrina, Le, Nhu D, Lee, Alice W, Lele, Shashikant, Leminen, Arto, Lester, Jenny, Levine, Douglas A, Liang, Dong, Lissowska, Jolanta, Liu, Song, Lu, Karen, Lubinski, Jan, Lundvall, Lene, Massuger, Leon FAG, Matsuo, Keitaro, and McGuire, Valeria

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Ovarian Cancer, Rare Diseases, Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Adenocarcinoma, Clear Cell, Adult, Aged, Carcinoma, Ovarian Epithelial, Female, Gene Expression Regulation, Neoplastic, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Middle Aged, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Protein Serine-Threonine Kinases, Receptor, Transforming Growth Factor-beta Type II, Receptors, Transforming Growth Factor beta, Risk Factors, T-Lymphocytes, Regulatory, ovarian cancer, immunosuppression, biomarkers, genetic variation, TGFBR2, TGFBR2, Oncology and carcinogenesis
Abstract

BackgroundRegulatory T (Treg) cells, a subset of CD4+ T lymphocytes, are mediators of immunosuppression in cancer, and, thus, variants in genes encoding Treg cell immune molecules could be associated with ovarian cancer.MethodsIn a population of 15,596 epithelial ovarian cancer (EOC) cases and 23,236 controls, we measured genetic associations of 1,351 SNPs in Treg cell pathway genes with odds of ovarian cancer and tested pathway and gene-level associations, overall and by histotype, for the 25 genes, using the admixture likelihood (AML) method. The most significant single SNP associations were tested for correlation with expression levels in 44 ovarian cancer patients.ResultsThe most significant global associations for all genes in the pathway were seen in endometrioid ( p = 0.082) and clear cell ( p = 0.083), with the most significant gene level association seen with TGFBR2 ( p = 0.001) and clear cell EOC. Gene associations with histotypes at p < 0.05 included: IL12 ( p = 0.005 and p = 0.008, serous and high-grade serous, respectively), IL8RA ( p = 0.035, endometrioid and mucinous), LGALS1 ( p = 0.03, mucinous), STAT5B ( p = 0.022, clear cell), TGFBR1 ( p = 0.021 endometrioid) and TGFBR2 ( p = 0.017 and p = 0.025, endometrioid and mucinous, respectively).ConclusionsCommon inherited gene variation in Treg cell pathways shows some evidence of germline genetic contribution to odds of EOC that varies by histologic subtype and may be associated with mRNA expression of immune-complex receptor in EOC patients.

Published
2016

43. Association of vitamin D levels and risk of ovarian cancer: a Mendelian randomization study.

Author

Ong, Jue-Sheng, Cuellar-Partida, Gabriel, Lu, Yi, Australian Ovarian Cancer Study, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Anne Doherty, Jennifer, Anne Rossing, Mary, Chang-Claude, Jenny, Eilber, Ursula, Rudolph, Anja, Wang-Gohrke, Shan, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Leminen, Arto, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Høgdall, Estrid, Høgdall, Claus K, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Kjaer, Susanne K, Hildebrandt, Michelle At, Liang, Dong, Lu, Karen H, Wu, Xifeng, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Missmer, Stacey, Bjorge, Line, Salvesen, Helga B, Kopperud, Reidun K, Bischof, Katharina, Aben, Katja Kh, Kiemeney, Lambertus A, Massuger, Leon Fag, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Gilks, C Blake, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Song, Honglin, Tyrer, Jonathan P, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, Lissowska, Jolanta, McLaughlin, John R, Narod, Steven A, Phelan, Catherine, Anton-Culver, Hoda, Ziogas, Argyrios, Eccles, Diana, Campbell, Ian, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Wu, Anna H, Dansonka-Mieszkowska, Agnieszka, Kupryjanczyk, Jolanta, Timorek, Agnieszka, Szafron, Lukasz, Cunningham, Julie M, Fridley, Brooke L, Winham, Stacey J, Bandera, Elisa V, and Poole, Elizabeth M

Subjects
Australian Ovarian Cancer Study, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Vitamin D, Odds Ratio, Risk Factors, Polymorphism, Single Nucleotide, Female, Mendelian Randomization Analysis, Carcinoma, Ovarian Epithelial, Neoplasms, Glandular and Epithelial, Polymorphism, Single Nucleotide, Carcinoma, Ovarian Epithelial, Prevention, Rare Diseases, Nutrition, Clinical Research, Cancer, Ovarian Cancer, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundIn vitro and observational epidemiological studies suggest that vitamin D may play a role in cancer prevention. However, the relationship between vitamin D and ovarian cancer is uncertain, with observational studies generating conflicting findings. A potential limitation of observational studies is inadequate control of confounding. To overcome this problem, we used Mendelian randomization (MR) to evaluate the association between single nucleotide polymorphisms (SNPs) associated with circulating 25-hydroxyvitamin D [25(OH)D] concentration and risk of ovarian cancer.MethodsWe employed SNPs with well-established associations with 25(OH)D concentration as instrumental variables for MR: rs7944926 (DHCR7), rs12794714 (CYP2R1) and rs2282679 (GC). We included 31 719 women of European ancestry (10 065 cases, 21 654 controls) from the Ovarian Cancer Association Consortium, who were genotyped using customized Illumina Infinium iSelect (iCOGS) arrays. A two-sample (summary data) MR approach was used and analyses were performed separately for all ovarian cancer (10 065 cases) and for high-grade serous ovarian cancer (4121 cases).ResultsThe odds ratio for epithelial ovarian cancer risk (10 065 cases) estimated by combining the individual SNP associations using inverse variance weighting was 1.27 (95% confidence interval: 1.06 to 1.51) per 20 nmol/L decrease in 25(OH)D concentration. The estimated odds ratio for high-grade serous epithelial ovarian cancer (4121 cases) was 1.54 (1.19, 2.01).ConclusionsGenetically lowered 25-hydroxyvitamin D concentrations were associated with higher ovarian cancer susceptibility in Europeans. These findings suggest that increasing plasma vitamin D levels may reduce risk of ovarian cancer.

Published
2016

44. Exome genotyping arrays to identify rare and low frequency variants associated with epithelial ovarian cancer risk

Author

Permuth, Jennifer B, Pirie, Ailith, Chen, Y Ann, Lin, Hui-Yi, Reid, Brett M, Chen, Zhihua, Monteiro, Alvaro, Dennis, Joe, Mendoza-Fandino, Gustavo, Group, AOCS Study, Study, Australian Cancer, Anton-Culver, Hoda, Bandera, Elisa V, Bisogna, Maria, Brinton, Louise, Brooks-Wilson, Angela, Carney, Michael E, Chenevix-Trench, Georgia, Cook, Linda S, Cramer, Daniel W, Cunningham, Julie M, Cybulski, Cezary, D’Aloisio, Aimee A, Doherty, Jennifer Anne, Earp, Madalene, Edwards, Robert P, Fridley, Brooke L, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Goodman, Marc T, Gronwald, Jacek, Hogdall, Estrid, Iversen, Edwin S, Jakubowska, Anna, Jensen, Allan, Karlan, Beth Y, Kelemen, Linda E, Kjaer, Suzanne K, Kraft, Peter, Le, Nhu D, Levine, Douglas A, Lissowska, Jolanta, Lubinski, Jan, Matsuo, Keitaro, Menon, Usha, Modugno, Rosemary, Moysich, Kirsten B, Nakanishi, Toru, Ness, Roberta B, Olson, Sara, Orlow, Irene, Pearce, Celeste L, Pejovic, Tanja, Poole, Elizabeth M, Ramus, Susan J, Rossing, Mary Anne, Sandler, Dale P, Shu, Xiao-Ou, Song, Honglin, Taylor, Jack A, Teo, Soo-Hwang, Terry, Kathryn L, Thompson, Pamela J, Tworoger, Shelley S, Webb, Penelope M, Wentzensen, Nicolas, Wilkens, Lynne R, Winham, Stacey, Woo, Yin-Ling, Wu, Anna H, Yang, Hannah, Zheng, Wei, Ziogas, Argyrios, Phelan, Catherine M, Schildkraut, Joellen M, Berchuck, Andrew, Goode, Ellen L, Pharoah, Paul DP, Sellers, Thomas A, and Consortium, on behalf of the Ovarian Cancer Association

Subjects
Biological Sciences, Genetics, Rare Diseases, Human Genome, Prevention, Cancer, Ovarian Cancer, 2.1 Biological and endogenous factors, Aetiology, Actins, Biotinidase, Carcinoma, Ovarian Epithelial, Exome, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Keratin-13, Neoplasm Proteins, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Receptor, Melanocortin, Type 2, AOCS Study Group, Australian Cancer Study, Ovarian Cancer Association Consortium, Medical and Health Sciences, Genetics & Heredity
Abstract

Rare and low frequency variants are not well covered in most germline genotyping arrays and are understudied in relation to epithelial ovarian cancer (EOC) risk. To address this gap, we used genotyping arrays targeting rarer protein-coding variation in 8,165 EOC cases and 11,619 controls from the international Ovarian Cancer Association Consortium (OCAC). Pooled association analyses were conducted at the variant and gene level for 98,543 variants directly genotyped through two exome genotyping projects. Only common variants that represent or are in strong linkage disequilibrium (LD) with previously-identified signals at established loci reached traditional thresholds for exome-wide significance (P  P≥5.0 ×10 -  7) were detected for rare and low-frequency variants at 16 novel loci. Four rare missense variants were identified (ACTBL2 rs73757391 (5q11.2), BTD rs200337373 (3p25.1), KRT13 rs150321809 (17q21.2) and MC2R rs104894658 (18p11.21)), but only MC2R rs104894668 had a large effect size (OR = 9.66). Genes most strongly associated with EOC risk included ACTBL2 (PAML = 3.23 × 10 -  5; PSKAT-o = 9.23 × 10 -  4) and KRT13 (PAML = 1.67 × 10 -  4; PSKAT-o = 1.07 × 10 -  5), reaffirming variant-level analysis. In summary, this large study identified several rare and low-frequency variants and genes that may contribute to EOC susceptibility, albeit with possible small effects. Future studies that integrate epidemiology, sequencing, and functional assays are needed to further unravel the unexplained heritability and biology of this disease.

Published
2016

45. Assessing the genetic architecture of epithelial ovarian cancer histological subtypes

Author

Cuellar-Partida, Gabriel, Lu, Yi, Dixon, Suzanne C, Australian Ovarian Cancer Study, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Doherty, Jennifer Anne, Rossing, Mary Anne, Chang-Claude, Jenny, Rudolph, Anja, Wang-Gohrke, Shan, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Leminen, Arto, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Høgdall, Estrid, Høgdall, Claus, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Kjaer, Susanne K, Hildebrandt, Michelle AT, Liang, Dong, Lu, Karen H, Wu, Xifeng, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Missmer, Stacey, Bjorge, Line, Salvesen, Helga B, Kopperud, Reidun K, Bischof, Katharina, Aben, Katja KH, Kiemeney, Lambertus A, Massuger, Leon FAG, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Blake Gilks, C, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Song, Honglin, Tyrer, Jonathan P, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, Lissowska, Jolanta, McLaughlin, John R, Narod, Steven A, Phelan, Catherine, Anton-Culver, Hoda, Ziogas, Argyrios, Eccles, Diana, Campbell, Ian, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Wu, Anna H, Dansonka-Mieszkowska, Agnieszka, Kupryjanczyk, Jolanta, Timorek, Agnieszka, Szafron, Lukasz, Cunningham, Julie M, Fridley, Brooke L, Winham, Stacey J, Bandera, Elisa V, Poole, Elizabeth M, and Morgan, Terry K

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Obesity, Women's Health, Cancer Genomics, Ovarian Cancer, Cancer, Human Genome, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Female, Genotype, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Pathology, Molecular, Polymorphism, Single Nucleotide, Australian Ovarian Cancer Study, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract

Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes present distinct molecular pathogeneses and sensitivities to treatments. Recent studies show that certain genetic variants confer susceptibility to all subtypes while other variants are subtype-specific. Here, we perform an extensive analysis of the genetic architecture of EOC subtypes. To this end, we used data of 10,014 invasive EOC patients and 21,233 controls from the Ovarian Cancer Association Consortium genotyped in the iCOGS array (211,155 SNPs). We estimate the array heritability (attributable to variants tagged on arrays) of each subtype and their genetic correlations. We also look for genetic overlaps with factors such as obesity, smoking behaviors, diabetes, age at menarche and height. We estimated the array heritabilities of high-grade serous disease ([Formula: see text] = 8.8 ± 1.1 %), endometrioid ([Formula: see text] = 3.2 ± 1.6 %), clear cell ([Formula: see text] = 6.7 ± 3.3 %) and all EOC ([Formula: see text] = 5.6 ± 0.6 %). Known associated loci contributed approximately 40 % of the total array heritability for each subtype. The contribution of each chromosome to the total heritability was not proportional to chromosome size. Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated. Finally, we found significant genetic correlations of all EOC with diabetes and obesity using a polygenic prediction approach.

Published
2016

46. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome

Author

Machiela, Mitchell J, Zhou, Weiyin, Karlins, Eric, Sampson, Joshua N, Freedman, Neal D, Yang, Qi, Hicks, Belynda, Dagnall, Casey, Hautman, Christopher, Jacobs, Kevin B, Abnet, Christian C, Aldrich, Melinda C, Amos, Christopher, Amundadottir, Laufey T, Arslan, Alan A, Beane-Freeman, Laura E, Berndt, Sonja I, Black, Amanda, Blot, William J, Bock, Cathryn H, Bracci, Paige M, Brinton, Louise A, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie E, Butler, Mary A, Canzian, Federico, Carreon, Tania, Chaffee, Kari G, Chang, I-Shou, Chatterjee, Nilanjan, Chen, Chu, Chen, Constance, Chen, Kexin, Chung, Charles C, Cook, Linda S, Bou, Marta Crous, Cullen, Michael, Davis, Faith G, De Vivo, Immaculata, Ding, Ti, Doherty, Jennifer, Duell, Eric J, Epstein, Caroline G, Fan, Jin-Hu, Figueroa, Jonine D, Fraumeni, Joseph F, Friedenreich, Christine M, Fuchs, Charles S, Gallinger, Steven, Gao, Yu-Tang, Gapstur, Susan M, Garcia-Closas, Montserrat, Gaudet, Mia M, Gaziano, J Michael, Giles, Graham G, Gillanders, Elizabeth M, Giovannucci, Edward L, Goldin, Lynn, Goldstein, Alisa M, Haiman, Christopher A, Hallmans, Goran, Hankinson, Susan E, Harris, Curtis C, Henriksson, Roger, Holly, Elizabeth A, Hong, Yun-Chul, Hoover, Robert N, Hsiung, Chao A, Hu, Nan, Hu, Wei, Hunter, David J, Hutchinson, Amy, Jenab, Mazda, Johansen, Christoffer, Khaw, Kay-Tee, Kim, Hee Nam, Kim, Yeul Hong, Kim, Young Tae, Klein, Alison P, Klein, Robert, Koh, Woon-Puay, Kolonel, Laurence N, Kooperberg, Charles, Kraft, Peter, Krogh, Vittorio, Kurtz, Robert C, LaCroix, Andrea, Lan, Qing, Landi, Maria Teresa, Le Marchand, Loic, Li, Donghui, Liang, Xiaolin, Liao, Linda M, Lin, Dongxin, Liu, Jianjun, Lissowska, Jolanta, Lu, Lingeng, Magliocco, Anthony M, and Malats, Nuria

Published
2016

47. Low frequency of cigarette smoking and the risk of head and neck cancer in the INHANCE consortium pooled analysis

Author

Berthiller, Julien, Straif, Kurt, Agudo, Antonio, Ahrens, Wolfgang, dos Santos, Alexandre Bezerra, Boccia, Stefania, Cadoni, Gabriella, Canova, Cristina, Castellsague, Xavier, Chen, Chu, Conway, David, Curado, Maria Paula, Dal Maso, Luigino, Daudt, Alexander W, Fabianova, Eleonora, Fernandez, Leticia, Franceschi, Silvia, Fukuyama, Erica E, Hayes, Richard B, Healy, Claire, Herrero, Rolando, Holcatova, Ivana, Kelsey, Karl, Kjaerheim, Kristina, Koifman, Sergio, Lagiou, Pagona, La Vecchia, Carlo, Lazarus, Philip, Levi, Fabio, Lissowska, Jolanta, Macfarlane, Tatiana, Mates, Dana, McClean, Michael, Menezes, Ana, Merletti, Franco, Morgenstern, Hal, Muscat, Joshua, Olshan, Andrew F, Purdue, Mark, Ramroth, Heribert, Rudnai, Peter, Schwartz, Stephen M, Serraino, Diego, Shangina, Oxana, Smith, Elaine, Sturgis, Erich M, Szeszenia-Dabrowska, Neonila, Thomson, Peter, Vaughan, Thomas L, Vilensky, Marta, Wei, Qingyi, Winn, Deborah M, Wünsch-Filho, Victor, Zhang, Zuo-Feng, Znaor, Ariana, Ferro, Gilles, Brennan, Paul, Boffetta, Paolo, Hashibe, Mia, and Lee, Yuan-Chin Amy

Subjects
Cancer, Prevention, Dental/Oral and Craniofacial Disease, Tobacco Smoke and Health, Substance Misuse, Clinical Research, Rare Diseases, Tobacco, Respiratory, Good Health and Well Being, Adult, Aged, Alcohol Drinking, Case-Control Studies, Cigarette Smoking, Female, Head and Neck Neoplasms, Humans, Logistic Models, Male, Middle Aged, Odds Ratio, Public Health, Risk Factors, Head and neck cancer, low frequency cigarette smoking, risk factors, pooled analysis, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundCigarette smoking is a major risk factor for head and neck cancer (HNC). To our knowledge, low cigarette smoking (0-3, >3-5, >5-10 cigarettes per day.ResultsSmoking >0-3 cigarettes per day was associated with a 50% increased risk of HNC in the study population [odds ratio (OR) = 1.52, 95% confidence interval (CI): (1.21, 1.90). Smoking >3-5 cigarettes per day was associated in each subgroup from OR = 2.01 (95% CI: 1.22, 3.31) among never alcohol drinkers to OR = 2.74 (95% CI: 2.01, 3.74) among women and in each cancer site, particularly laryngeal cancer (OR = 3.48, 95% CI: 2.40, 5.05). However, the observed increased risk of HNC for low smoking frequency was not found among smokers with smoking duration shorter than 20 years.ConclusionOur results suggest a public health message that low frequency of cigarette consumption contributes to the development of HNC. However, smoking duration seems to play at least an equal or a stronger role in the development of HNC.

Published
2016

48. Investigation of Exomic Variants Associated with Overall Survival in Ovarian Cancer

Author

Winham, Stacey J, Pirie, Ailith, Chen, Yian Ann, Larson, Melissa C, Fogarty, Zachary C, Earp, Madalene A, Anton-Culver, Hoda, Bandera, Elisa V, Cramer, Daniel, Doherty, Jennifer A, Goodman, Marc T, Gronwald, Jacek, Karlan, Beth Y, Kjaer, Susanne K, Levine, Douglas A, Menon, Usha, Ness, Roberta B, Pearce, Celeste L, Pejovic, Tanja, Rossing, Mary Anne, Wentzensen, Nicolas, Bean, Yukie T, Bisogna, Maria, Brinton, Louise A, Carney, Michael E, Cunningham, Julie M, Cybulski, Cezary, deFazio, Anna, Dicks, Ed M, Edwards, Robert P, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Gore, Martin, Iversen, Edwin S, Jensen, Allan, Johnatty, Sharon E, Lester, Jenny, Lin, Hui-Yi, Lissowska, Jolanta, Lubinski, Jan, Menkiszak, Janusz, Modugno, Francesmary, Moysich, Kirsten B, Orlow, Irene, Pike, Malcolm C, Ramus, Susan J, Song, Honglin, Terry, Kathryn L, Thompson, Pamela J, Tyrer, Jonathan P, van den Berg, David J, Vierkant, Robert A, Vitonis, Allison F, Walsh, Christine, Wilkens, Lynne R, Wu, Anna H, Yang, Hannah, Ziogas, Argyrios, Berchuck, Andrew, Group, Georgia Chenevix-Trench on behalf of Australian Ovarian Cancer Study, Schildkraut, Joellen M, Permuth-Wey, Jennifer, Phelan, Catherine M, Pharoah, Paul DP, Fridley, Brooke L, Sellers, Thomas A, and Goode, Ellen L

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Cancer, Genetics, Prevention, Clinical Research, Human Genome, Rare Diseases, Ovarian Cancer, 2.1 Biological and endogenous factors, Aetiology, Exome, Female, Genotype, Humans, Middle Aged, Ovarian Neoplasms, Survival Rate, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundWhile numerous susceptibility loci for epithelial ovarian cancer (EOC) have been identified, few associations have been reported with overall survival. In the absence of common prognostic genetic markers, we hypothesize that rare coding variants may be associated with overall EOC survival and assessed their contribution in two exome-based genotyping projects of the Ovarian Cancer Association Consortium (OCAC).MethodsThe primary patient set (Set 1) included 14 independent EOC studies (4,293 patients) and 227,892 variants, and a secondary patient set (Set 2) included six additional EOC studies (1,744 patients) and 114,620 variants. Because power to detect rare variants individually is reduced, gene-level tests were conducted. Sets were analyzed separately at individual variants and by gene, and then combined with meta-analyses (73,203 variants and 13,163 genes overlapped).ResultsNo individual variant reached genome-wide statistical significance. A SNP previously implicated to be associated with EOC risk and, to a lesser extent, survival, rs8170, showed the strongest evidence of association with survival and similar effect size estimates across sets (Pmeta = 1.1E-6, HRSet1 = 1.17, HRSet2 = 1.14). Rare variants in ATG2B, an autophagy gene important for apoptosis, were significantly associated with survival after multiple testing correction (Pmeta = 1.1E-6; Pcorrected = 0.01).ConclusionsCommon variant rs8170 and rare variants in ATG2B may be associated with EOC overall survival, although further study is needed.ImpactThis study represents the first exome-wide association study of EOC survival to include rare variant analyses, and suggests that complementary single variant and gene-level analyses in large studies are needed to identify rare variants that warrant follow-up study. Cancer Epidemiol Biomarkers Prev; 25(3); 446-54. ©2016 AACR.

Published
2016

49. A targeted genetic association study of epithelial ovarian cancer susceptibility

Author

Earp, Madalene, Winham, Stacey J, Larson, Nicholas, Permuth, Jennifer B, Sicotte, Hugues, Chien, Jeremy, Anton-Culver, Hoda, Bandera, Elisa V, Berchuck, Andrew, Cook, Linda S, Cramer, Daniel, Doherty, Jennifer A, Goodman, Marc T, Levine, Douglas A, Monteiro, Alvaro NA, Ness, Roberta B, Pearce, Celeste L, Rossing, Mary Anne, Tworoger, Shelley S, Wentzensen, Nicolas, Bisogna, Maria, Brinton, Louise, Brooks-Wilson, Angela, Carney, Michael E, Cunningham, Julie M, Edwards, Robert P, Fogarty, Zachary C, Iversen, Edwin S, Kraft, Peter, Larson, Melissa C, Le, Nhu D, Lin, Hui-Yi, Lissowska, Jolanta, Modugno, Francesmary, Moysich, Kirsten B, Olson, Sara H, Pike, Malcolm C, Poole, Elizabeth M, Rider, David N, Terry, Kathryn L, Thompson, Pamela J, van den Berg, David, Vierkant, Robert A, Vitonis, Allison F, Wilkens, Lynne R, Wu, Anna H, Yang, Hannah P, Ziogas, Argyrios, Phelan, Catherine M, Schildkraut, Joellen M, Chen, Yian Ann, Sellers, Thomas A, Fridley, Brooke L, and Goode, Ellen L

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Cancer, Human Genome, Rare Diseases, Ovarian Cancer, Clinical Research, Genetics, Aetiology, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Case-Control Studies, Female, Gene Expression Profiling, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Neoplasm Staging, Neoplasms, Glandular and Epithelial, Oligonucleotide Array Sequence Analysis, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prognosis, Risk Factors, ovarian cancer, high-grade serous carcinoma, genetic association, susceptibility loci, NF-kappa B, NF-κB, Oncology and carcinogenesis
Abstract

BackgroundGenome-wide association studies have identified several common susceptibility alleles for epithelial ovarian cancer (EOC). To further understand EOC susceptibility, we examined previously ungenotyped candidate variants, including uncommon variants and those residing within known susceptibility loci.ResultsAt nine of eleven previously published EOC susceptibility regions (2q31, 3q25, 5p15, 8q21, 8q24, 10p12, 17q12, 17q21.31, and 19p13), novel variants were identified that were more strongly associated with risk than previously reported variants. Beyond known susceptibility regions, no variants were found to be associated with EOC risk at genome-wide statistical significance (p

Published
2016

50. Evidence of a genetic link between endometriosis and ovarian cancer

Author

Lee, Alice W, Templeman, Claire, Stram, Douglas A, Beesley, Jonathan, Tyrer, Jonathan, Berchuck, Andrew, Pharoah, Paul P, Chenevix-Trench, Georgia, Pearce, Celeste Leigh, Consortium, Ovarian Cancer Association, Ness, Roberta B, Dansonka-Mieszkowska, Agnieszka, Gentry-Maharaj, Aleksandra, Hein, Alexander, Whittemore, Alice S, Jensen, Allan, du Bois, Andreas, Brooks-Wilson, Angela, Rudolph, Anja, Jakubowska, Anna, Wu, Anna H, Ziogas, Argyrios, Ekici, Arif B, Leminen, Arto, Study, Australian Cancer, Group, Australian Ovarian Cancer Study, Rosen, Barry, Spiewankiewicz, Beata, Karlan, Beth Y, Trabert, Britton, Fridley, Brooke L, Gilks, C Blake, Krakstad, Camilla, Phelan, Catherine M, Cybulski, Cezary, Walsh, Christine, Hogdall, Claus, Cramer, Daniel W, Huntsman, David G, Eccles, Diana, Lambrechts, Diether, Liang, Dong, Levine, Douglas A, Iversen, Edwin S, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Van Nieuwenhuysen, Els, Hogdall, Estrid, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Giles, Graham G, Risch, Harvey A, Baker, Helen, Salvesen, Helga B, Nevanlinna, Heli, Anton-Culver, Hoda, Song, Honglin, McNeish, Iain, Campbell, Ian G, Vergote, Ignace, Runnebaum, Ingo B, Tangen, Ingvild L, Schwaab, Ira, Gronwald, Jacek, Paul, James, Lubinski, Jan, Doherty, Jennifer A, Chang-Claude, Jenny, Lester, Jenny, Schildkraut, Joellen M, McLaughlin, John R, Lissowska, Jolanta, Kupryjanczyk, Jolanta, Kelley, Joseph L, Rothstein, Joseph H, Cunningham, Julie M, Lu, Karen, Carty, Karen, Terry, Kathryn L, Aben, Katja KH, Moysich, Kirsten B, Wicklund, Kristine G, Odunsi, Kunle, Kiemeney, Lambertus A, Sucheston-Campbell, Lara, Lundvall, Lene, Massuger, Leon FAG, Pelttari, Liisa M, Kelemen, Linda E, Cook, Linda S, Bjorge, Line, Nedergaard, Lotte, Brinton, Louise A, Wilkens, Lynne R, Pike, Malcolm C, Goodman, Marc T, and Bisogna, Maria

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Cancer, Rare Diseases, Ovarian Cancer, Genetics, Genetic Testing, Clinical Research, Endometriosis, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Computational Biology, Databases, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neoplasm Grading, Ovarian Neoplasms, Phenotype, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Ovarian Cancer Association Consortium, SNPs, genetic variation, ovarian cancer, Clinical Sciences, Paediatrics and Reproductive Medicine, Public Health and Health Services, Obstetrics & Reproductive Medicine, Reproductive medicine
Abstract

ObjectiveTo evaluate whether endometriosis-associated genetic variation affects risk of ovarian cancer.DesignPooled genetic analysis.SettingUniversity hospital.Patient(s)Genetic data from 46,176 participants (15,361 ovarian cancer cases and 30,815 controls) from 41 ovarian cancer studies.Intervention(s)None.Main outcome measure(s)Endometriosis-associated genetic variation and ovarian cancer.Result(s)There was significant evidence of an association between endometriosis-related genetic variation and ovarian cancer risk, especially for the high-grade serous and clear cell histotypes. Overall we observed 15 significant burden statistics, which was three times more than expected.Conclusion(s)By focusing on candidate regions from a phenotype associated with ovarian cancer, we have shown a clear genetic link between endometriosis and ovarian cancer that warrants further follow-up. The functional significance of the identified regions and SNPs is presently uncertain, though future fine mapping and histotype-specific functional analyses may shed light on the etiologies of both gynecologic conditions.

Published
2016

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