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51. 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

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

Author

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

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

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

Published
2020

53. The associations of anthropometric, behavioural and sociodemographic factors with circulating concentrations of IGF‐I, IGF‐II, IGFBP‐1, IGFBP‐2 and IGFBP‐3 in a pooled analysis of 16,024 men from 22 studies

Author

Watts, Eleanor L, Perez‐Cornago, Aurora, Appleby, Paul N, Albanes, Demetrius, Ardanaz, Eva, Black, Amanda, Bueno‐de‐Mesquita, H Bas, Chan, June M, Chen, Chu, Chubb, SA Paul, Cook, Michael B, Deschasaux, Mélanie, Donovan, Jenny L, English, Dallas R, Flicker, Leon, Freedman, Neal D, Galan, Pilar, Giles, Graham G, Giovannucci, Edward L, Gunter, Marc J, Habel, Laurel A, Häggström, Christel, Haiman, Christopher, Hamdy, Freddie C, Hercberg, Serge, Holly, Jeff M, Huang, Jiaqi, Huang, Wen‐Yi, Johansson, Mattias, Kaaks, Rudolf, Kubo, Tatsuhiko, Lane, J Athene, Layne, Tracy M, Le Marchand, Loic, Martin, Richard M, Metter, E Jeffrey, Mikami, Kazuya, Milne, Roger L, Morris, Howard A, Mucci, Lorelei A, Neal, David E, Neuhouser, Marian L, Oliver, Steven E, Overvad, Kim, Ozasa, Kotaro, Pala, Valeria, Pernar, Claire H, Pollak, Michael, Rowlands, Mari‐Anne, Schaefer, Catherine A, Schenk, Jeannette M, Stattin, Pär, Tamakoshi, Akiko, Thysell, Elin, Touvier, Mathilde, Trichopoulou, Antonia, Tsilidis, Konstantinos K, Van Den Eeden, Stephen K, Weinstein, Stephanie J, Wilkens, Lynne, Yeap, Bu B, Key, Timothy J, Allen, Naomi E, and Travis, Ruth C

Subjects
Cancer, Aging, Urologic Diseases, Adult, Aged, Aged, 80 and over, Anthropometry, Biomarkers, Tumor, Cross-Sectional Studies, Humans, Insulin-Like Growth Factor Binding Proteins, Insulin-Like Growth Factor I, Insulin-Like Growth Factor II, Male, Middle Aged, Neoplasms, Prospective Studies, Young Adult, IGFs, IGFBPs, pooled analysis, correlates, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Insulin-like growth factors (IGFs) and insulin-like growth factor binding proteins (IGFBPs) have been implicated in the aetiology of several cancers. To better understand whether anthropometric, behavioural and sociodemographic factors may play a role in cancer risk via IGF signalling, we examined the cross-sectional associations of these exposures with circulating concentrations of IGFs (IGF-I and IGF-II) and IGFBPs (IGFBP-1, IGFBP-2 and IGFBP-3). The Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group dataset includes individual participant data from 16,024 male controls (i.e. without prostate cancer) aged 22-89 years from 22 prospective studies. Geometric means of protein concentrations were estimated using analysis of variance, adjusted for relevant covariates. Older age was associated with higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGF-I, IGF-II and IGFBP-3. Higher body mass index was associated with lower concentrations of IGFBP-1 and IGFBP-2. Taller height was associated with higher concentrations of IGF-I and IGFBP-3 and lower concentrations of IGFBP-1. Smokers had higher concentrations of IGFBP-1 and IGFBP-2 and lower concentrations of IGFBP-3 than nonsmokers. Higher alcohol consumption was associated with higher concentrations of IGF-II and lower concentrations of IGF-I and IGFBP-2. African Americans had lower concentrations of IGF-II, IGFBP-1, IGFBP-2 and IGFBP-3 and Hispanics had lower IGF-I, IGF-II and IGFBP-3 than non-Hispanic whites. These findings indicate that a range of anthropometric, behavioural and sociodemographic factors are associated with circulating concentrations of IGFs and IGFBPs in men, which will lead to a greater understanding of the mechanisms through which these factors influence cancer risk.

Published
2019

55. Design and methodological considerations for biomarker discovery and validation in the Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Program

Author

Robbins, Hilary A., Alcala, Karine, Moez, Elham Khodayari, Guida, Florence, Thomas, Sera, Zahed, Hana, Warkentin, Matthew T., Smith-Byrne, Karl, Brhane, Yonathan, Muller, David, Feng, Xiaoshuang, Albanes, Demetrius, Aldrich, Melinda C., Arslan, Alan A., Bassett, Julie, Berg, Christine D., Cai, Qiuyin, Chen, Chu, Davies, Michael P.A., Diergaarde, Brenda, Field, John K., Freedman, Neal D., Huang, Wen-Yi, Johansson, Mikael, Jones, Michael, Koh, Woon-Puay, Lam, Stephen, Lan, Qing, Langhammer, Arnulf, Liao, Linda M., Liu, Geoffrey, Malekzadeh, Reza, Milne, Roger L., Montuenga, Luis M., Rohan, Thomas, Sesso, Howard D., Severi, Gianluca, Sheikh, Mahdi, Sinha, Rashmi, Shu, Xiao-Ou, Stevens, Victoria L., Tammemägi, Martin C., Tinker, Lesley F., Visvanathan, Kala, Wang, Ying, Wang, Renwei, Weinstein, Stephanie J., White, Emily, Wilson, David, Yuan, Jian-Min, Zhang, Xuehong, Zheng, Wei, Amos, Christopher I., Brennan, Paul, Johansson, Mattias, and Hung, Rayjean J.

Published
2023
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57. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes

Author

Berndt, Sonja I., Vijai, Joseph, Benavente, Yolanda, Camp, Nicola J., Nieters, Alexandra, Wang, Zhaoming, Smedby, Karin E., Kleinstern, Geffen, Hjalgrim, Henrik, Besson, Caroline, Skibola, Christine F., Morton, Lindsay M., Brooks-Wilson, Angela R., Teras, Lauren R., Breeze, Charles, Arias, Joshua, Adami, Hans-Olov, Albanes, Demetrius, Anderson, Kenneth C., Ansell, Stephen M., Bassig, Bryan, Becker, Nikolaus, Bhatti, Parveen, Birmann, Brenda M., Boffetta, Paolo, Bracci, Paige M., Brennan, Paul, Brown, Elizabeth E., Burdett, Laurie, Cannon-Albright, Lisa A., Chang, Ellen T., Chiu, Brian C. H., Chung, Charles C., Clavel, Jacqueline, Cocco, Pierluigi, Colditz, Graham, Conde, Lucia, Conti, David V., Cox, David G., Curtin, Karen, Casabonne, Delphine, De Vivo, Immaculata, Diepstra, Arjan, Diver, W. Ryan, Dogan, Ahmet, Edlund, Christopher K., Foretova, Lenka, Fraumeni, Jr, Joseph F., Gabbas, Attilio, Ghesquières, Hervé, Giles, Graham G., Glaser, Sally, Glenn, Martha, Glimelius, Bengt, Gu, Jian, Habermann, Thomas M., Haiman, Christopher A., Haioun, Corinne, Hofmann, Jonathan N., Holford, Theodore R., Holly, Elizabeth A., Hutchinson, Amy, Izhar, Aalin, Jackson, Rebecca D., Jarrett, Ruth F., Kaaks, Rudolph, Kane, Eleanor, Kolonel, Laurence N., Kong, Yinfei, Kraft, Peter, Kricker, Anne, Lake, Annette, Lan, Qing, Lawrence, Charles, Li, Dalin, Liebow, Mark, Link, Brian K., Magnani, Corrado, Maynadie, Marc, McKay, James, Melbye, Mads, Miligi, Lucia, Milne, Roger L., Molina, Thierry J., Monnereau, Alain, Montalvan, Rebecca, North, Kari E., Novak, Anne J., Onel, Kenan, Purdue, Mark P., Rand, Kristin A., Riboli, Elio, Riby, Jacques, Roman, Eve, Salles, Gilles, Sborov, Douglas W., Severson, Richard K., Shanafelt, Tait D., Smith, Martyn T., Smith, Alexandra, Song, Kevin W., Song, Lei, Southey, Melissa C., Spinelli, John J., Staines, Anthony, Stephens, Deborah, Sutherland, Heather J., Tkachuk, Kaitlyn, Thompson, Carrie A., Tilly, Hervé, Tinker, Lesley F., Travis, Ruth C., Turner, Jenny, Vachon, Celine M., Vajdic, Claire M., Van Den Berg, Anke, Van Den Berg, David J., Vermeulen, Roel C. H., Vineis, Paolo, Wang, Sophia S., Weiderpass, Elisabete, Weiner, George J., Weinstein, Stephanie, Doo, Nicole Wong, Ye, Yuanqing, Yeager, Meredith, Yu, Kai, Zeleniuch-Jacquotte, Anne, Zhang, Yawei, Zheng, Tongzhang, Ziv, Elad, Sampson, Joshua, Chatterjee, Nilanjan, Offit, Kenneth, Cozen, Wendy, Wu, Xifeng, Cerhan, James R., Chanock, Stephen J., Slager, Susan L., and Rothman, Nathaniel

Published
2023
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58. Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes

Author

Din, Lennox, Sheikh, Mohammad, Kosaraju, Nikitha, Smedby, Karin Ekstrom, Bernatsky, Sasha, Berndt, Sonja I, Skibola, Christine F, Nieters, Alexandra, Wang, Sophia, McKay, James D, Cocco, Pierluigi, Maynadié, Marc, Foretová, Lenka, Staines, Anthony, Mack, Thomas M, de Sanjosé, Silvia, Vyse, Timothy J, Padyukov, Leonid, Monnereau, Alain, Arslan, Alan A, Moore, Amy, Brooks‐Wilson, Angela R, Novak, Anne J, Glimelius, Bengt, Birmann, Brenda M, Link, Brian K, Stewart, Carolyn, Vajdic, Claire M, Haioun, Corinne, Magnani, Corrado, Conti, David V, Cox, David G, Casabonne, Delphine, Albanes, Demetrius, Kane, Eleanor, Roman, Eve, Muzi, Giacomo, Salles, Gilles, Giles, Graham G, Adami, Hans‐Olov, Ghesquières, Hervé, De Vivo, Immaculata, Clavel, Jacqueline, Cerhan, James R, Spinelli, John J, Hofmann, Jonathan, Vijai, Joseph, Curtin, Karen, Costenbader, Karen H, Onel, Kenan, Offit, Kenneth, Teras, Lauren R, Morton, Lindsay, Conde, Lucia, Miligi, Lucia, Melbye, Mads, Ennas, Maria Grazia, Liebow, Mark, Purdue, Mark P, Glenn, Martha, Southey, Melissa C, Din, Morris, Rothman, Nathaniel, Camp, Nicola J, Doo, Nicole Wong, Becker, Nikolaus, Pradhan, Nisha, Bracci, Paige M, Boffetta, Paolo, Vineis, Paolo, Brennan, Paul, Kraft, Peter, Lan, Qing, Severson, Richard K, Vermeulen, Roel CH, Milne, Roger L, Kaaks, Rudolph, Travis, Ruth C, Weinstein, Stephanie J, Chanock, Stephen J, Ansell, Stephen M, Slager, Susan L, Zheng, Tongzhang, Zhang, Yawei, Benavente, Yolanda, Taub, Zachary, Madireddy, Lohith, Gourraud, Pierre‐Antoine, Oksenberg, Jorge R, Cozen, Wendy, Hjalgrim, Henrik, and Khankhanian, Pouya

Subjects
Biological Sciences, Genetics, Lymphoma, Arthritis, Neurodegenerative, Brain Disorders, Autoimmune Disease, Cancer, Human Genome, Rare Diseases, Hematology, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Alleles, Autoimmune Diseases, Female, Genetic Predisposition to Disease, HLA Antigens, Humans, Lymphoma, Non-Hodgkin, Male, Middle Aged, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors, autoimmune disease, genome-wide association study, meta-analysis, non-Hodgkin lymphoma, Public Health and Health Services, Epidemiology
Abstract

Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.

Published
2019

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

Author

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

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

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

Published
2019

60. A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants

Author

Kim, Sehee, Wang, Miao, Tyrer, Jonathan P, Jensen, Allan, Wiensch, Ashley, Liu, Gang, Lee, Alice W, Ness, Roberta B, Salvatore, Maxwell, Tworoger, Shelley S, Whittemore, Alice S, Anton‐Culver, Hoda, Sieh, Weiva, Olson, Sara H, Berchuck, Andrew, Goode, Ellen L, Goodman, Marc T, Doherty, Jennifer Anne, Chenevix‐Trench, Georgia, Rossing, Mary Anne, Webb, Penelope M, Giles, Graham G, Terry, Kathryn L, Ziogas, Argyrios, Fortner, Renée T, Menon, Usha, Gayther, Simon A, Wu, Anna H, Song, Honglin, Brooks‐Wilson, Angela, Bandera, Elisa V, Cook, Linda S, Cramer, Daniel W, Milne, Roger L, Winham, Stacey J, Kjaer, Susanne K, Modugno, Francesmary, Thompson, Pamela J, Chang‐Claude, Jenny, Harris, Holly R, Schildkraut, Joellen M, Le, Nhu D, Wentzensen, Nico, Trabert, Britton, Høgdall, Estrid, Huntsman, David, Pike, Malcolm C, Pharoah, Paul DP, Pearce, Celeste Leigh, and Mukherjee, Bhramar

Subjects
Rare Diseases, Human Genome, Clinical Research, Genetics, Patient Safety, Cancer, Prevention, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Case-Control Studies, Contraceptives, Oral, Hormonal, Environment, Environmental Exposure, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk, ovarian cancer, genetics, additive interaction, G x E, G × E, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case-control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10-4 ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46-0.60) compared to 0.71 (95%CI = 0.66-0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1-5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene-environment analysis in ovarian cancer.

Published
2019

61. Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk prediction

Author

Li, Shuai, MacInnis, Robert J., Lee, Andrew, Nguyen-Dumont, Tu, Dorling, Leila, Carvalho, Sara, Dite, Gillian S., Shah, Mitul, Luccarini, Craig, Wang, Qin, Milne, Roger L., Jenkins, Mark A., Giles, Graham G., Dunning, Alison M., Pharoah, Paul D.P., Southey, Melissa C., Easton, Douglas F., Hopper, John L., and Antoniou, Antonis C.

Published
2022
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63. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen B. M., Colonna, Sarah, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Eliassen, Heather A., Engel, Christoph, Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Schmutzler, Rita K., Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L., Tischkowitz, Marc, Titus, Linda, Toland, Amanda E., Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., van der Hout, Annemieke H., Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J., Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M., Weinberg, Clarice R., Weitzel, Jeffrey N., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M., Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Kleibl, Zdenek, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A., Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie, Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A., Antoniou, Antonis C., and Pharoah, Paul D. P.

Published
2022
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64. Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: a pooled analysis of four prospective studies

Author

Dugué, Pierre-Antoine, Bodelon, Clara, Chung, Felicia F., Brewer, Hannah R., Ambatipudi, Srikant, Sampson, Joshua N., Cuenin, Cyrille, Chajès, Veronique, Romieu, Isabelle, Fiorito, Giovanni, Sacerdote, Carlotta, Krogh, Vittorio, Panico, Salvatore, Tumino, Rosario, Vineis, Paolo, Polidoro, Silvia, Baglietto, Laura, English, Dallas, Severi, Gianluca, Giles, Graham G., Milne, Roger L., Herceg, Zdenko, Garcia-Closas, Montserrat, Flanagan, James M., and Southey, Melissa C.

Published
2022
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65. Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Author

Dorling, Leila, Carvalho, Sara, Allen, Jamie, Parsons, Michael T., Fortuno, Cristina, González-Neira, Anna, Heijl, Stephan M., Adank, Muriel A., Ahearn, Thomas U., Andrulis, Irene L., Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Bogdanova, Natalia V., Bojesen, Stig E., Bolla, Manjeet K., Bremer, Michael, Briceno, Ignacio, Camp, Nicola J., Campbell, Archie, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Collée, J. Margriet, Czene, Kamila, Dennis, Joe, Dörk, Thilo, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G., Glendon, Gord, Guénel, Pascal, Gündert, Melanie, Hadjisavvas, Andreas, Hahnen, Eric, Hall, Per, Hamann, Ute, Harkness, Elaine F., Hartman, Mikael, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hoppe, Reiner, Howell, Anthony, Jakubowska, Anna, Jung, Audrey, Khusnutdinova, Elza, Kim, Sung-Won, Ko, Yon-Dschun, Kristensen, Vessela N., Lakeman, Inge M. M., Li, Jingmei, Lindblom, Annika, Loizidou, Maria A., Lophatananon, Artitaya, Lubiński, Jan, Luccarini, Craig, Madsen, Michael J., Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L., Mohd Taib, Nur Aishah, Muir, Kenneth, Nevanlinna, Heli, Newman, William G., Oosterwijk, Jan C., Park, Sue K., Peterlongo, Paolo, Radice, Paolo, Saloustros, Emmanouil, Sawyer, Elinor J., Schmutzler, Rita K., Shah, Mitul, Sim, Xueling, Southey, Melissa C., Surowy, Harald, Suvanto, Maija, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, van Asperen, Christi J., Waltes, Regina, Wang, Qin, Yang, Xiaohong R., Pharoah, Paul D. P., Schmidt, Marjanka K., Benitez, Javier, Vroling, Bas, Dunning, Alison M., Teo, Soo Hwang, Kvist, Anders, de la Hoya, Miguel, Devilee, Peter, Spurdle, Amanda B., Vreeswijk, Maaike P. G., and Easton, Douglas F.

Published
2022
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66. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk

Author

Haas, Cameron B., Su, Yu-Ru, Petersen, Paneen, Wang, Xiaoliang, Bien, Stephanie A., Lin, Yi, Albanes, Demetrius, Weinstein, Stephanie J., Jenkins, Mark A., Figueiredo, Jane C., Newcomb, Polly A., Casey, Graham, Le Marchand, Loic, Campbell, Peter T., Moreno, Victor, Potter, John D., Sakoda, Lori C., Slattery, Martha L., Chan, Andrew T., Li, Li, Giles, Graham G., Milne, Roger L., Gruber, Stephen B., Rennert, Gad, Woods, Michael O., Gallinger, Steven J., Berndt, Sonja, Hayes, Richard B., Huang, Wen-Yi, Wolk, Alicja, White, Emily, Nan, Hongmei, Nassir, Rami, Lindor, Noralane M., Lewinger, Juan P., Kim, Andre E., Conti, David, Gauderman, W. James, Buchanan, Daniel D., Peters, Ulrike, and Hsu, Li

Published
2022
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67. Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

Author

Chen, Hongjie, Fan, Shaoqi, Stone, Jennifer, Thompson, Deborah J., Douglas, Julie, Li, Shuai, Scott, Christopher, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Li, Christopher, Peters, Ulrike, Hopper, John L., Southey, Melissa C., Nguyen-Dumont, Tu, Nguyen, Tuong L., Fasching, Peter A., Behrens, Annika, Cadby, Gemma, Murphy, Rachel A., Aronson, Kristan, Howell, Anthony, Astley, Susan, Couch, Fergus, Olson, Janet, Milne, Roger L., Giles, Graham G., Haiman, Christopher A., Maskarinec, Gertraud, Winham, Stacey, John, Esther M., Kurian, Allison, Eliassen, Heather, Andrulis, Irene, Evans, D. Gareth, Newman, William G., Hall, Per, Czene, Kamila, Swerdlow, Anthony, Jones, Michael, Pollan, Marina, Fernandez-Navarro, Pablo, McConnell, Daniel S., Kristensen, Vessela N., Rothstein, Joseph H., Wang, Pei, Habel, Laurel A., Sieh, Weiva, Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Gierach, Gretchen L., Tamimi, Rulla M., Vachon, Celine M., and Lindström, Sara

Published
2022
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69. Association of neighbourhood disadvantage and individual socioeconomic position with all-cause mortality: a longitudinal multicohort analysis

Author

Alberts, Jan, Alenius, Hari, Avendano, Mauricio, Baglietto, Laura, Baltar, Valeria, Bartley, Mel, Barros, Henrique, Bellone, Michele, Berger, Eloise, Blane, David, Bochud, Murielle, Candiani, Giulia, Carmeli, Cristian, Carra, Luca, Castagne, Raphaele, Chadeau-Hyam, Marc, Cima, Sergio, Costa, Giuseppe, Courtin, Emilie, Delpierre, Cyrille, Donkin, Angela, D'Errico, Angelo, Dugue, Pierre-Antoine, Elliot, Paul, Fagherazzi, Guy, Fiorito, Giovanni, Fraga, Silvia, Gandini, Martina, Gares, Valérie, Gerbouin-Rerolle, Pascale, Giles, Graham, Goldberg, Marcel, Greco, Dario, Hodge, Allison, Kelly-Irving, Michelle, Karimi, Maryam, Karisola, Piia, Kivimaki, Mika, Laine, Jessica, Lang, Thierry, Laurent, Audrey, Layte, Richard, Lepage, Benoite, Lorsch, Dori, Machell, Giles, Mackenbach, Johan, de Mestral, Carlos, McCrory, Cathal, Miller, Cynthia, Milne, Roger, Muennig, Peter, Nusselder, Wilma, Petrovic, Dusan, Pilapil, Lourdes, Polidoro, Silvia, Preisig, Martin, Ribeiro, Ana Isabel, Ricceri, Fulvio, Recalcati, Paolo, Reinhard, Erica, Robinson, Oliver, Valverde, Jose Rubio, Saba, Severine, Santegoets, Frank, Simmons, Terrence, Severi, Gianluca, Stringhini, Silvia, Tabak, Adam, Terhi, Vesa, Tieulent, Joannie, Vaccarella, Salvatore, Vigna-Taglianti, Frederica, Vineis, Paolo, Vollenweider, Peter, Zins, Marie, Severo, Milton, Joost, Stéphane, Guessous, Idris, and Sacerdote, Carlotta

Published
2022
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70. Prevalence of Germline Pathogenic Variants in Renal Cancer Predisposition Genes in a Population-Based Study of Renal Cell Carcinoma.

Author

Bruinsma, Fiona, Harraka, Philip, Jordan, Susan, Park, Daniel J., Pope, Bernard, Steen, Jason, Milne, Roger L., Giles, Graham G., Winship, Ingrid, Tucker, Katherine M., Southey, Melissa C., and Nguyen-Dumont, Tu

Subjects
RESEARCH funding, FISHER exact test, DESCRIPTIVE statistics, GENETIC variation, RENAL cell carcinoma, DISEASE susceptibility, DATA analysis software, GENETIC mutation, GENETIC testing
Abstract

Simple Summary: Studies of genetic predisposition to renal cell carcinoma (RCC) have been highly variable in design and have reported similarly highly variable rates of cases identified as carrying pathogenic variants in cancer susceptibility genes (4–26%). The aim of our study was to conduct a population-based study of genetic predisposition to RCC. We conducted a 21-gene panel sequencing study and identified that 18/1029 participants (1.7%) carried a pathogenic or likely pathogenic (PLP) variant. Genes with PLP variants included BAP1, FH, FLCN, MITF, MSH6, SDHB, TSC1, and VHL. This study provides further evidence that family history alone may not be sufficient for identifying all individuals who are at increased genetic risk of renal cell carcinoma, and further research is urgently needed to understand how to target genetic testing to identify those at high genetic risk of kidney cancer. Renal cell carcinoma (RCC) has been associated with germline pathogenic or likely pathogenic (PLP) variants in recognised cancer susceptibility genes. Studies of RCC using gene panel sequencing have been highly variable in terms of study design, genes included, and reported prevalence of PLP variant carriers (4–26%). Studies that restricted their analysis to established RCC predisposition genes identified variants in 1–6% of cases. This work assessed the prevalence of clinically actionable PLP variants in renal cancer predisposition genes in an Australian population-based sample of RCC cases. Germline DNA from 1029 individuals diagnosed with RCC who were recruited through the Victoria and Queensland cancer registries were screened using a custom amplicon-based panel of 21 genes. Mean age at cancer diagnosis was 60 ± 10 years, and two-thirds (690, 67%) of the participants were men. Eighteen participants (1.7%) were found to carry a PLP variant. Genes with PLP variants included BAP1, FH, FLCN, MITF, MSH6, SDHB, TSC1, and VHL. Most carriers of PLP variants did not report a family history of the disease. Further exploration of the clinical utility of gene panel susceptibility testing for all RCCs is warranted. [ABSTRACT FROM AUTHOR]

Published
2024
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71. Time to Diagnosis and Treatment for Ovarian Cancer and Associations with Outcomes: A Systematic Review.

Author

Bergin, Rebecca J., O'Sullivan, Deirdre, Dixon-Suen, Suzanne, Emery, Jon D., English, Dallas R., Milne, Roger L., and White, Victoria M.

Subjects
MEDICAL information storage & retrieval systems, RESEARCH funding, OVARIAN tumors, TREATMENT effectiveness, SYSTEMATIC reviews, MEDLINE, TIME, OVERALL survival, SYMPTOMS
Abstract

Background: Ovarian cancer is commonly diagnosed symptomatically at an advanced stage. Better survival for early disease suggests improving diagnostic pathways may increase survival. This study examines literature assessing diagnostic intervals and their association with clinical and psychological outcomes. Methods: Medline, EMBASE, and EmCare databases were searched for studies including quantitative measures of at least one interval, published between January 1, 2000 and August 9, 2022. Interval measures and associations (interval, outcomes, analytic strategy) were synthesized. Risk of bias of association studies was assessed using the Aarhus Checklist and ROBINS-E tool. Results: In total, 65 papers (20 association studies) were included and 26 unique intervals were identified. Interval estimates varied widely and were impacted by summary statistic used (mean or median) and group focused on. Of Aarhus-defined intervals, patient (symptom to presentation, n = 23; range [median]: 7–168 days) and diagnostic (presentation to diagnosis, n = 22; range [median]: 7–270 days) were most common. Nineteen association studies examined survival or stage outcomes with most, including five low risk-of-bias studies, finding no association. Conclusions: Studies reporting intervals for ovarian cancer diagnosis are limited by inconsistent definitions and reporting. Greater utilization of the Aarhus statement to define intervals and appropriate analytic methods is needed to strengthen findings from future studies. [ABSTRACT FROM AUTHOR]

Published
2024
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73. Low Free Testosterone and Prostate Cancer Risk: A Collaborative Analysis of 20 Prospective Studies

Author

Watts, Eleanor L, Appleby, Paul N, Perez-Cornago, Aurora, Bueno-de-Mesquita, H Bas, Chan, June M, Chen, Chu, Cohn, Barbara A, Cook, Michael B, Flicker, Leon, Freedman, Neal D, Giles, Graham G, Giovannucci, Edward, Gislefoss, Randi E, Hankey, Graeme J, Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N, Kubo, Tatsuhiko, Le Marchand, Loïc, Luben, Robert N, Luostarinen, Tapio, Männistö, Satu, Metter, E Jeffrey, Mikami, Kazuya, Milne, Roger L, Ozasa, Kotaro, Platz, Elizabeth A, Quirós, J Ramón, Rissanen, Harri, Sawada, Norie, Stampfer, Meir, Stanczyk, Frank Z, Stattin, Pär, Tamakoshi, Akiko, Tangen, Catherine M, Thompson, Ian M, Tsilidis, Konstantinos K, Tsugane, Shoichiro, Ursin, Giske, Vatten, Lars, Weiss, Noel S, Yeap, Bu B, Allen, Naomi E, Key, Timothy J, and Travis, Ruth C

Subjects
Cancer, Clinical Research, Prevention, Urologic Diseases, Prostate Cancer, Aging, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Biomarkers, Case-Control Studies, Down-Regulation, Humans, Male, Middle Aged, Neoplasm Grading, Prospective Studies, Prostatic Neoplasms, Protective Factors, Risk Assessment, Risk Factors, Testosterone, Time Factors, Androgens Pooled analysis, Prospective studies, Prostate cancer, Sex hormones, Epidemiology, Androgens, Pooled analysis, Clinical Sciences, Urology & Nephrology
Abstract

BackgroundExperimental and clinical evidence implicates testosterone in the aetiology of prostate cancer. Variation across the normal range of circulating free testosterone concentrations may not lead to changes in prostate biology, unless circulating concentrations are low. This may also apply to prostate cancer risk, but this has not been investigated in an epidemiological setting.ObjectiveTo examine whether men with low concentrations of circulating free testosterone have a reduced risk of prostate cancer.Design, setting, and participantsAnalysis of individual participant data from 20 prospective studies including 6933 prostate cancer cases, diagnosed on average 6.8 yr after blood collection, and 12 088 controls in the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group.Outcome measurements and statistical analysisOdds ratios (ORs) of incident overall prostate cancer and subtypes by stage and grade, using conditional logistic regression, based on study-specific tenths of calculated free testosterone concentration.Results and limitationsMen in the lowest tenth of free testosterone concentration had a lower risk of overall prostate cancer (OR=0.77, 95% confidence interval [CI] 0.69-0.86; p

Published
2018

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

Author

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

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

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

Published
2018

75. 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

76. 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

77. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

Author

Milne, Roger L, Kuchenbaecker, Karoline B, Michailidou, Kyriaki, Beesley, Jonathan, Kar, Siddhartha, Lindström, Sara, Hui, Shirley, Lemaçon, Audrey, Soucy, Penny, Dennis, Joe, Jiang, Xia, Rostamianfar, Asha, Finucane, Hilary, Bolla, Manjeet K, McGuffog, Lesley, Wang, Qin, Aalfs, Cora M, Adams, Marcia, Adlard, Julian, Agata, Simona, Ahmed, Shahana, Ahsan, Habibul, Aittomäki, Kristiina, Al-Ejeh, Fares, Allen, Jamie, Ambrosone, Christine B, Amos, Christopher I, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Arnold, Norbert, Aronson, Kristan J, Auber, Bernd, Auer, Paul L, Ausems, Margreet GEM, Azzollini, Jacopo, Bacot, François, Balmaña, Judith, Barile, Monica, Barjhoux, Laure, Barkardottir, Rosa B, Barrdahl, Myrto, Barnes, Daniel, Barrowdale, Daniel, Baynes, Caroline, Beckmann, Matthias W, Benitez, Javier, Bermisheva, Marina, Bernstein, Leslie, Bignon, Yves-Jean, Blazer, Kathleen R, Blok, Marinus J, Blomqvist, Carl, Blot, William, Bobolis, Kristie, Boeckx, Bram, Bogdanova, Natalia V, Bojesen, Anders, Bojesen, Stig E, Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Bozsik, Aniko, Bradbury, Angela R, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Bressac-de Paillerets, Brigitte, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Brunet, Joan, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S, Byun, Jinyoung, Cai, Qiuyin, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Canzian, Federico, Caron, Olivier, Carracedo, Angel, Carter, Brian D, Castelao, J Esteban, Castera, Laurent, Caux-Moncoutier, Virginie, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Xiaoqing, Cheng, Ting-Yuan David, Chiquette, Jocelyne, Christiansen, Hans, Claes, Kathleen BM, Clarke, Christine L, Conner, Thomas, Conroy, Don M, and Cook, Jackie

Subjects
Biological Sciences, Genetics, Cancer, Human Genome, Prevention, Breast Cancer, Aging, Estrogen, 2.1 Biological and endogenous factors, Aetiology, BRCA1 Protein, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Heterozygote, Humans, Mutation, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk Factors, White People, ABCTB Investigators, EMBRACE, GEMO Study Collaborators, HEBON, kConFab/AOCS Investigators, NBSC Collaborators, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

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

Published
2017

78. Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies

Author

Hopper, John L., primary, Li, Shuai, additional, MacInnis, Robert J., additional, Dowty, James G., additional, Nguyen, Tuong L., additional, Bui, Minh, additional, Dite, Gillian S., additional, Esser, Vivienne F. C., additional, Ye, Zhoufeng, additional, Makalic, Enes, additional, Schmidt, Daniel F., additional, Goudey, Benjamin, additional, Alpen, Karen, additional, Kapuscinski, Miroslaw, additional, Win, Aung Ko, additional, Dugué, Pierre‐Antoine, additional, Milne, Roger L., additional, Jayasekara, Harindra, additional, Brooks, Jennifer D., additional, Malta, Sue, additional, Calais‐Ferreira, Lucas, additional, Campbell, Alexander C., additional, Young, Jesse T., additional, Nguyen‐Dumont, Tu, additional, Sung, Joohon, additional, Giles, Graham G., additional, Buchanan, Daniel, additional, Winship, Ingrid, additional, Terry, Mary Beth, additional, Southey, Melissa C., additional, and Jenkins, Mark A., additional

Published
2024
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79. Inflammation-Related Marker Profiling of Dietary Patterns and All-cause Mortality in the Melbourne Collaborative Cohort Study

Author

Li, Sherly X, Hodge, Allison M, MacInnis, Robert J, Bassett, Julie K, Ueland, Per M, Midttun, Øivind, Ulvik, Arve, Rinaldi, Sabina, Meyer, Klaus, Navionis, Anne-Sophie, Shivappa, Nitin, Hébert, James R, Flicker, Leon, Severi, Gianluca, Jayasekara, Harindra, English, Dallas R, Vineis, Paolo, Southey, Melissa C, Milne, Roger L, Giles, Graham G, and Dugué, Pierre-Antoine

Published
2021
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82. Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Author

Guo, Xingyi, Lin, Weiqiang, Wen, Wanqing, Huyghe, Jeroen, Bien, Stephanie, Cai, Qiuyin, Harrison, Tabitha, Chen, Zhishan, Qu, Conghui, Bao, Jiandong, Long, Jirong, Yuan, Yuan, Wang, Fangqin, Bai, Mengqiu, Abecasis, Goncalo R., Albanes, Demetrius, Berndt, Sonja I., Bézieau, Stéphane, Bishop, D. Timothy, Brenner, Hermann, Buch, Stephan, Burnett-Hartman, Andrea, Campbell, Peter T., Castellví-Bel, Sergi, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Cho, Sang Hee, Conti, David V., Chapelle, Albert de la, Feskens, Edith J.M., Gallinger, Steven J., Giles, Graham G., Goodman, Phyllis J., Gsur, Andrea, Guinter, Mark, Gunter, Marc J., Hampe, Jochen, Hampel, Heather, Hayes, Richard B., Hoffmeister, Michael, Kampman, Ellen, Kang, Hyun Min, Keku, Temitope O., Kim, Hyeong Rok, Le Marchand, Loic, Lee, Soo Chin, Li, Christopher I., Li, Li, Lindblom, Annika, Lindor, Noralane, Milne, Roger L., Moreno, Victor, Murphy, Neil, Newcomb, Polly A., Nickerson, Deborah A., Offit, Kenneth, Pearlman, Rachel, Pharoah, Paul D.P., Platz, Elizabeth A., Potter, John D., Rennert, Gad, Sakoda, Lori C., Schafmayer, Clemens, Schmit, Stephanie L., Schoen, Robert E., Schumacher, Fredrick R., Slattery, Martha L., Su, Yu-Ru, Tangen, Catherine M., Ulrich, Cornelia M., van Duijnhoven, Franzel J.B., Van Guelpen, Bethany, Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Wang, Xiaoliang, White, Emily, Wolk, Alicja, Woods, Michael O., Casey, Graham, Hsu, Li, Jenkins, Mark A., Gruber, Stephen B., Peters, Ulrike, and Zheng, Wei

Published
2021
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83. PHIP - a novel candidate breast cancer susceptibility locus on 6q14.1

Author

Jiao, Xiang, Aravidis, Christos, Marikkannu, Rajeshwari, Rantala, Johanna, Picelli, Simone, Adamovic, Tatjana, Liu, Tao, Maguire, Paula, Kremeyer, Barbara, Luo, Liping, von Holst, Susanna, Kontham, Vinaykumar, Thutkawkorapin, Jessada, Margolin, Sara, Du, Quan, Lundin, Johanna, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Lush, Michael, Ambrosone, Christine B, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Arndt, Volker, Beckmann, Matthias W, Blomqvist, Carl, Blot, William, Boeckx, Bram, Bojesen, Stig E, Bonanni, Bernardo, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broeks, Annegien, Brüning, Thomas, Burwinkel, Barbara, Cai, Qiuyin, Chang-Claude, Jenny, Couch, Fergus J, Cox, Angela, Cross, Simon S, Deming-Halverson, Sandra L, Devilee, Peter, dos-Santos-Silva, Isabel, Dörk, Thilo, Eriksson, Mikael, Fasching, Peter A, Figueroa, Jonine, Flesch-Janys, Dieter, Flyger, Henrik, Gabrielson, Marike, García-Closas, Montserrat, Giles, Graham G, González-Neira, Anna, Guénel, Pascal, Guo, Qi, Gündert, Melanie, Haiman, Christopher A, Hallberg, Emily, Hamann, Ute, Harrington, Patricia, Hooning, Maartje J, Hopper, John L, Huang, Guanmengqian, Jakubowska, Anna, Jones, Michael E, Kerin, Michael J, Kosma, Veli-Matti, Kristensen, Vessela N, Lambrechts, Diether, Le Marchand, Loic, Lubinski, Jan, Mannermaa, Arto, Martens, John WM, Meindl, Alfons, Milne, Roger L, Mulligan, Anna Marie, Neuhausen, Susan L, Nevanlinna, Heli, Peto, Julian, Pylkäs, Katri, Radice, Paolo, Rhenius, Valerie, Sawyer, Elinor J, Schmidt, Marjanka K, Schmutzler, Rita K, Seynaeve, Caroline, Shah, Mitul, Simard, Jacques, Southey, Melissa C, Swerdlow, Anthony J, Truong, Thérèse, Wendt, Camilla, Winqvist, Robert, Zheng, Wei, Benitez, Javier, Dunning, Alison M, and Pharoah, Paul DP

Subjects
Cancer, Prevention, Breast Cancer, Genetics, Human Genome, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, familial breast cancer, linkage analysis, risk haplotype, sequencing, NBCS Collaborators, kConFab/AOCS Investigators, Oncology and Carcinogenesis
Abstract

Most non-BRCA1/2 breast cancer families have no identified genetic cause. We used linkage and haplotype analyses in familial and sporadic breast cancer cases to identify a susceptibility locus on chromosome 6q. Two independent genome-wide linkage analysis studies suggested a 3 Mb locus on chromosome 6q and two unrelated Swedish families with a LOD >2 together seemed to share a haplotype in 6q14.1. We hypothesized that this region harbored a rare high-risk founder allele contributing to breast cancer in these two families. Sequencing of DNA and RNA from the two families did not detect any pathogenic mutations. Finally, 29 SNPs in the region were analyzed in 44,214 cases and 43,532 controls from BCAC, and the original haplotypes in the two families were suggested as low-risk alleles for European and Swedish women specifically. There was also some support for one additional independent moderate-risk allele in Swedish familial samples. The results were consistent with our previous findings in familial breast cancer and supported a breast cancer susceptibility locus at 6q14.1 around the PHIP gene.

Published
2017

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

Author

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

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

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

Published
2017

85. Genetic modifiers of CHEK2*1100delC-associated breast cancer risk

Author

Muranen, Taru A, Greco, Dario, Blomqvist, Carl, Aittomäki, Kristiina, Khan, Sofia, Hogervorst, Frans, Verhoef, Senno, Pharoah, Paul DP, Dunning, Alison M, Shah, Mitul, Luben, Robert, Bojesen, Stig E, Nordestgaard, Børge G, Schoemaker, Minouk, Swerdlow, Anthony, García-Closas, Montserrat, Figueroa, Jonine, Dörk, Thilo, Bogdanova, Natalia V, Hall, Per, Li, Jingmei, Khusnutdinova, Elza, Bermisheva, Marina, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Investigators, NBCS, Peto, Julian, dos Santos Silva, Isabel, Couch, Fergus J, Olson, Janet E, Hillemans, Peter, Park-Simon, Tjoung-Won, Brauch, Hiltrud, Hamann, Ute, Burwinkel, Barbara, Marme, Frederik, Meindl, Alfons, Schmutzler, Rita K, Cox, Angela, Cross, Simon S, Sawyer, Elinor J, Tomlinson, Ian, Lambrechts, Diether, Moisse, Matthieu, Lindblom, Annika, Margolin, Sara, Hollestelle, Antoinette, Martens, John WM, Fasching, Peter A, Beckmann, Matthias W, Andrulis, Irene L, Knight, Julia A, Investigators, kConFab AOCS, Anton-Culver, Hoda, Ziogas, Argyrios, Giles, Graham G, Milne, Roger L, Brenner, Hermann, Arndt, Volker, Mannermaa, Arto, Kosma, Veli-Matti, Chang-Claude, Jenny, Rudolph, Anja, Devilee, Peter, Seynaeve, Caroline, Hopper, John L, Southey, Melissa C, John, Esther M, Whittemore, Alice S, Bolla, Manjeet K, Wang, Qin, Michailidou, Kyriaki, Dennis, Joe, Easton, Douglas F, Schmidt, Marjanka K, and Nevanlinna, Heli

Subjects
Cancer, Prevention, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Checkpoint Kinase 2, Female, Genes, Modifier, Genetic Predisposition to Disease, Humans, Odds Ratio, Penetrance, Sequence Deletion, breast cancer, Breast Cancer Association Consortium, CHEK2*1100delC, common variants, polygenic risk score, NBCS Investigators, kConFab/AOCS Investigators, Genetics, Clinical Sciences, Genetics & Heredity
Abstract

PurposeCHEK2*1100delC is a founder variant in European populations that confers a two- to threefold increased risk of breast cancer (BC). Epidemiologic and family studies have suggested that the risk associated with CHEK2*1100delC is modified by other genetic factors in a multiplicative fashion. We have investigated this empirically using data from the Breast Cancer Association Consortium (BCAC).MethodsUsing genotype data from 39,139 (624 1100delC carriers) BC patients and 40,063 (224) healthy controls from 32 BCAC studies, we analyzed the combined risk effects of CHEK2*1100delC and 77 common variants in terms of a polygenic risk score (PRS) and pairwise interaction.ResultsThe PRS conferred odds ratios (OR) of 1.59 (95% CI: 1.21-2.09) per standard deviation for BC for CHEK2*1100delC carriers and 1.58 (1.55-1.62) for noncarriers. No evidence of deviation from the multiplicative model was found. The OR for the highest quintile of the PRS was 2.03 (0.86-4.78) for CHEK2*1100delC carriers, placing them in the high risk category according to UK NICE guidelines. The OR for the lowest quintile was 0.52 (0.16-1.74), indicating a lifetime risk close to the population average.ConclusionOur results confirm the multiplicative nature of risk effects conferred by CHEK2*1100delC and the common susceptibility variants. Furthermore, the PRS could identify carriers at a high lifetime risk for clinical actions.Genet Med advance online publication 06 October 2016.

Published
2017

86. Circulating sex hormones in relation to anthropometric, sociodemographic and behavioural factors in an international dataset of 12,300 men

Author

Watts, Eleanor L, Appleby, Paul N, Albanes, Demetrius, Black, Amanda, Chan, June M, Chen, Chu, Cirillo, Piera M, Cohn, Barbara A, Cook, Michael B, Donovan, Jenny L, Ferrucci, Luigi, Garland, Cedric F, Giles, Graham G, Goodman, Phyllis J, Habel, Laurel A, Haiman, Christopher A, Holly, Jeff MP, Hoover, Robert N, Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N, Kubo, Tatsuhiko, Le Marchand, Loïc, Luostarinen, Tapio, MacInnis, Robert J, Mäenpää, Hanna O, Männistö, Satu, Metter, E Jeffrey, Milne, Roger L, Nomura, Abraham MY, Oliver, Steven E, Parsons, J Kellogg, Peeters, Petra H, Platz, Elizabeth A, Riboli, Elio, Ricceri, Fulvio, Rinaldi, Sabina, Rissanen, Harri, Sawada, Norie, Schaefer, Catherine A, Schenk, Jeannette M, Stanczyk, Frank Z, Stampfer, Meir, Stattin, Pär, Stenman, Ulf-Håkan, Tjønneland, Anne, Trichopoulou, Antonia, Thompson, Ian M, Tsugane, Shoichiro, Vatten, Lars, Whittemore, Alice S, Ziegler, Regina G, Allen, Naomi E, Key, Timothy J, and Travis, Ruth C

Subjects
Cancer, Aging, Estrogen, Good Health and Well Being, Adult, Anthropometry, Behavior, Datasets as Topic, Gonadal Steroid Hormones, Humans, Male, Social Class, Young Adult, General Science & Technology
Abstract

IntroductionSex hormones have been implicated in the etiology of a number of diseases. To better understand disease etiology and the mechanisms of disease-risk factor associations, this analysis aimed to investigate the associations of anthropometric, sociodemographic and behavioural factors with a range of circulating sex hormones and sex hormone-binding globulin.MethodsStatistical analyses of individual participant data from 12,330 male controls aged 25-85 years from 25 studies involved in the Endogenous Hormones Nutritional Biomarkers and Prostate Cancer Collaborative Group. Analysis of variance was used to estimate geometric means adjusted for study and relevant covariates.ResultsOlder age was associated with higher concentrations of sex hormone-binding globulin and dihydrotestosterone and lower concentrations of dehydroepiandrosterone sulfate, free testosterone, androstenedione, androstanediol glucuronide and free estradiol. Higher body mass index was associated with higher concentrations of free estradiol, androstanediol glucuronide, estradiol and estrone and lower concentrations of dihydrotestosterone, testosterone, sex hormone-binding globulin, free testosterone, androstenedione and dehydroepiandrosterone sulfate. Taller height was associated with lower concentrations of androstenedione, testosterone, free testosterone and sex hormone-binding globulin and higher concentrations of androstanediol glucuronide. Current smoking was associated with higher concentrations of androstenedione, sex hormone-binding globulin and testosterone. Alcohol consumption was associated with higher concentrations of dehydroepiandrosterone sulfate, androstenedione and androstanediol glucuronide. East Asians had lower concentrations of androstanediol glucuronide and African Americans had higher concentrations of estrogens. Education and marital status were modestly associated with a small number of hormones.ConclusionCirculating sex hormones in men are strongly associated with age and body mass index, and to a lesser extent with smoking status and alcohol consumption.

Published
2017

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

Author

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

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

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

Published
2016

88. BMI and breast cancer risk around age at menopause

Author

IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Von Holle, Ann, Adami, Hans-Olov, Baglietto, Laura, Berrington, Amy, Bertrand, Kimberly A, Blot, William, Chen, Yu, DeHart, Jessica Clague, Dossus, Laure, Eliassen, A Heather, Fournier, Agnes, Garcia-Closas, Montse, Giles, Graham, Guevara, Marcela, Hankinson, Susan E, Heath, Alicia, Jones, Michael E, Joshu, Corinne E, Kaaks, Rudolf, Kirsh, Victoria A, Kitahara, Cari M, Koh, Woon-Puay, Linet, Martha S, Park, Hannah Lui, Masala, Giovanna, Mellemkjaer, Lene, Milne, Roger L, O'Brien, Katie M, Palmer, Julie R, Riboli, Elio, Rohan, Thomas E, Shrubsole, Martha J, Sund, Malin, Tamimi, Rulla, Tin Tin, Sandar, Visvanathan, Kala, Vermeulen, Roel Ch, Weiderpass, Elisabete, Willett, Walter C, Yuan, Jian-Min, Zeleniuch-Jacquotte, Anne, Nichols, Hazel B, Sandler, Dale P, Swerdlow, Anthony J, Schoemaker, Minouk J, Weinberg, Clarice R, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Von Holle, Ann, Adami, Hans-Olov, Baglietto, Laura, Berrington, Amy, Bertrand, Kimberly A, Blot, William, Chen, Yu, DeHart, Jessica Clague, Dossus, Laure, Eliassen, A Heather, Fournier, Agnes, Garcia-Closas, Montse, Giles, Graham, Guevara, Marcela, Hankinson, Susan E, Heath, Alicia, Jones, Michael E, Joshu, Corinne E, Kaaks, Rudolf, Kirsh, Victoria A, Kitahara, Cari M, Koh, Woon-Puay, Linet, Martha S, Park, Hannah Lui, Masala, Giovanna, Mellemkjaer, Lene, Milne, Roger L, O'Brien, Katie M, Palmer, Julie R, Riboli, Elio, Rohan, Thomas E, Shrubsole, Martha J, Sund, Malin, Tamimi, Rulla, Tin Tin, Sandar, Visvanathan, Kala, Vermeulen, Roel Ch, Weiderpass, Elisabete, Willett, Walter C, Yuan, Jian-Min, Zeleniuch-Jacquotte, Anne, Nichols, Hazel B, Sandler, Dale P, Swerdlow, Anthony J, Schoemaker, Minouk J, and Weinberg, Clarice R

Published
2024

89. Blood-based DNA methylation markers for lung cancer prediction

Author

Onwuka, Justina Ucheojor, Guida, Florence, Langdon, Ryan, Johansson, Mikael, Severi, Gianluca, Milne, Roger L., Dugué, Pierre-Antoine, Southey, Melissa C., Vineis, Paolo, Sandanger, Torkjel, Nøst, Therese Haugdahl, Chadeau-Hyam, Marc, Relton, Caroline, Robbins, Hilary A., Suderman, Matthew, Johansson, Mattias, Onwuka, Justina Ucheojor, Guida, Florence, Langdon, Ryan, Johansson, Mikael, Severi, Gianluca, Milne, Roger L., Dugué, Pierre-Antoine, Southey, Melissa C., Vineis, Paolo, Sandanger, Torkjel, Nøst, Therese Haugdahl, Chadeau-Hyam, Marc, Relton, Caroline, Robbins, Hilary A., Suderman, Matthew, and Johansson, Mattias

Abstract

Objective: Screening high-risk individuals with low-dose CT reduces mortality from lung cancer, but many lung cancers occur in individuals who are not eligible for screening. Risk biomarkers may be useful to refine risk models and improve screening eligibility criteria. We evaluated if blood-based DNA methylation markers can improve a traditional lung cancer prediction model. Methods and analysis: This study used four prospective cohorts with blood samples collected prior to lung cancer diagnosis. The study was restricted to participants with a history of smoking, and one control was individually matched to each lung cancer case using incidence density sampling by cohort, sex, date of blood collection, age and smoking status. To train a DNA methylation-based risk score, we used participants from Melbourne Collaborative Cohort Study-Australia (n=648) and Northern Sweden Health and Disease Study-Sweden (n=380) based on five selected CpG sites. The risk discriminative performance of the methylation score was subsequently validated in participants from European Investigation into Cancer and Nutrition-Italy (n=267) and Norwegian Women and Cancer-Norway (n=185) and compared with that of the questionnaire-based PLCOm2012 lung cancer risk model. Results: The area under the receiver operating characteristic curve (AUC) for the PLCOm2012 model in the validation studies was 0.70 (95% CI: 0.65 to 0.75) compared with 0.73 (95% CI: 0.68 to 0.77) for the methylation score model (P difference =0.07). Incorporating the methylation score with the PLCOm2012 model did not improve the risk discrimination (AUC: 0.73, 95% CI: 0.68 to 0.77, P difference =0.73). Conclusions: This study suggests that the methylation-based risk prediction score alone provides similar lung cancer risk-discriminatory performance as the questionnaire-based PLCOm2012 risk model.

Published
2024
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90. Genetic variation in the TP53 pathway and bladder cancer risk. a comprehensive analysis

Author

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

Abstract

Introduction: Germline variants in TP63 have been consistently associated with several tumors, including bladder cancer, indicating the importance of TP53 pathway in cancer genetic susceptibility. However, variants in other related genes, including TP53 rs1042522 (Arg72Pro), still present controversial results. We carried out an in depth assessment of associations between common germline variants in the TP53 pathway and bladder cancer risk. Material and Methods: We investigated 184 tagSNPs from 18 genes in 1,058 cases and 1,138 controls from the Spanish Bladder Cancer/EPICURO Study. Cases were newly-diagnosed bladder cancer patients during 1998–2001. Hospital controls were age-gender, and area matched to cases. SNPs were genotyped in blood DNA using Illumina Golden Gate and TaqMan assays. Cases were subphenotyped according to stage/grade and tumor p53 expression. We applied classical tests to assess individual SNP associations and the Least Absolute Shrinkage and Selection Operator (LASSO)-penalized logistic regression analysis to assess multiple SNPs simultaneously. Results: Based on classical analyses, SNPs in BAK1 (1), IGF1R (5), P53AIP1 (1), PMAIP1 (2), SERINPB5 (3), TP63 (3), and TP73 (1) showed significant associations at p-value#0.05. However, no evidence of association, either with overall risk or with specific disease subtypes, was observed after correction for multiple testing (p-value$0.8). LASSO selected the SNP rs6567355 in SERPINB5 with 83% of reproducibility. This SNP provided an OR = 1.21, 95%CI 1.05–1.38, p-value = 0.006, and a corrected p-value = 0.5 when controlling for over-estimation. Discussion: We found no strong evidence that common variants in the TP53 pathway are associated with bladder cancer susceptibility. Our study suggests that it is unlikely that TP53 Arg72Pro is implicated in the UCB in white Europeans. SERPINB5 and TP63 variation deserve further exploration in extended studies., Fondo de Investigación Sanitaria, Spain, Red Temática de Investigación Cooperativa en Cáncer. Spain, Marató TV3, European Commission, US National Institutes of Health, The Intramural Research Program of the Division of Cancer Epidemiology and Genetics, National Cancer Institute at the National Institutes of Health, USA, Consolíder ONCOBIO. Ministerio de Economía y Competitividad, Madrid, Spain, Depto. de Estadística y Ciencia de los Datos, Fac. de Estudios Estadísticos, TRUE, pub

Published
2024

92. Saliva-derived DNA is suitable for the detection of clonal haematopoiesis of indeterminate potential.

Author

O'Reilly, Robert L., Burke, Jared, Harraka, Philip, Yeh, Paul, Howlett, Kerryn, Behrouzfar, Kiarash, Rewse, Amanda, Tsimiklis, Helen, Giles, Graham G., Bubb, Kristen J., Nicholls, Stephen J., Milne, Roger L., and Southey, Melissa C.

Subjects
HEMATOPOIESIS, DNA, NUCLEOTIDE sequencing, SOMATIC mutation, SALIVA
Abstract

Clonal haematopoiesis of indeterminate potential (CHIP) has been associated with many adverse health outcomes. However, further research is required to understand the critical genes and pathways relevant to CHIP subtypes, evaluate how CHIP clones evolve with time, and further advance functional characterisation and therapeutic studies. Large epidemiological studies are well placed to address these questions but often collect saliva rather than blood from participants. Paired saliva- and blood-derived DNA samples from 94 study participants were sequenced using a targeted CHIP-gene panel. The ten genes most frequently identified to carry CHIP-associated variants were analysed. Fourteen unique variants associated with CHIP, ten in DNMT3A, two in TP53 and two in TET2, were identified with a variant allele fraction (VAF) between 0.02 and 0.2 and variant depth ≥ 5 reads. Eleven of these CHIP-associated variants were detected in both the blood- and saliva-derived DNA sample. Three variants were detected in blood with a VAF > 0.02 but fell below this threshold in the paired saliva sample (VAF 0.008—0.013). Saliva-derived DNA is suitable for detecting CHIP-associated variants. Saliva can offer a cost-effective biospecimen that could both advance CHIP research and facilitate clinical translation into settings such as risk prediction, precision prevention, and treatment monitoring. [ABSTRACT FROM AUTHOR]

Published
2024
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93. Healthy lifestyle is associated with reduced cardiovascular disease, depression and mortality in people at elevated risk of sleep apnea.

Author

Melaku, Yohannes Adama, Appleton, Sarah, Reynolds, Amy C., Milne, Roger L., Lynch, Brigid M., Eckert, Danny J., and Adams, Robert

Subjects
DROWSINESS, CARDIOVASCULAR diseases, SLEEP apnea syndromes, BODY mass index, AT-risk people, MORTALITY
Abstract

Summary: We assessed: (1) the independent and joint association of obstructive sleep apnea risk and healthy lifestyle with common consequences (excessive daytime sleepiness, depression, cardiovascular disease and stroke) of obstructive sleep apnea; and (2) the effect of healthy lifestyle on survival in people with increased obstructive sleep apnea risk. Data from 13,694 adults (median age 46 years; 50% men) were used for cross‐sectional and survival analyses (mortality over 15 years). A healthy lifestyle score with values from 0 (most unhealthy) to 5 (most healthy) was determined based on diet, alcohol intake, physical activity, smoking and body mass index. In the cross‐sectional analysis, obstructive sleep apnea risk was positively associated with all chronic conditions and excessive daytime sleepiness in a dose–response manner (p for trend < 0.001). The healthy lifestyle was inversely associated with all chronic conditions (p for trend < 0.001) but not with excessive daytime sleepiness (p for trend = 0.379). Higher healthy lifestyle score was also associated with reduced odds of depression and cardiovascular disease. We found an inverse relationship between healthy lifestyle score with depression (p for trend < 0.001), cardiovascular disease (p for trend = 0.003) and stroke (p for trend = 0.025) among those who had high obstructive sleep apnea risk. In the survival analysis, we found an inverse association between healthy lifestyle and all‐cause mortality for all categories of obstructive sleep apnea risk (moderate/high‐ and high‐risk groups [p for trend < 0.001]). This study emphasises the crucial role of a healthy lifestyle in mitigating the effects of obstructive sleep apnea risk in individuals with an elevated obstructive sleep apnea risk. [ABSTRACT FROM AUTHOR]

Published
2024
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94. Association of tea and coffee consumption and biliary tract cancer risk: The Biliary Tract Cancers Pooling Project.

Author

Yu-Han Huang, Loftfield, Erikka, Argirion, Ilona, Adami, Hans-Olov, Albanes, Demetrius, Chan, Andrew T., Fedirko, Veronika, Fraser, Gary E., Freedman, Neal D., Giles, Graham G., Hartge, Patricia, Katzke, Verena, Knutsen, Synnove F., Lacey Jr, James, Liao, Linda M., Juhua Luo, Milne, Roger L., O'Brien, Katie M., Peters, Ulrike, and Poynter, Jenny N.

Published
2024
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96. Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

Author

Albert, Christine M., Andreotti, Gabriella, Bala, Bijal, Balasubramanian, Bijal A., Beane-Freeman, Laura E., Brownstein, John S., Bruinsma, Fiona J., Coresh, Joe, Costa, Rui, Cowan, Annie N., Deka, Anusila, Deming-Halverson, Sandra L., Elena Martinez, Maria, Ernst, Michael E., Figueiredo, Jane C., Fortuna, Pedro, Franks, Paul W., Freeman, Laura Beane, Gardner, Christopher D., Ghobrial, Irene M., Haiman, Christopher A., Hall, Janet E., Kang, Jae H., Kirpach, Brenda, Koenen, Karestan C., Kubzansky, Laura D., Lacey, Jr, James V., Le Marchand, Loic, Lin, Xihong, Lutsey, Pam, Marinac, Catherine R., Martinez, Maria Elena, Milne, Roger L., Murray, Anne M., Nash, Denis, Palmer, Julie R., Patel, Alpa V., Pierce, Eric, Robertson, McKaylee M., Rosenberg, Lynn, Sandler, Dale P., Schurman, Shepherd H., Sewalk, Kara, Sharma, Shreela V., Sidey-Gibbons, Christopher J., Slevin, Liz, Smoller, Jordan W.., Steves, Claire J., Tiirikainen, Maarit I., Weiss, Scott T., Wilkens, Lynne R., Zhang, Feng, Nguyen, Long H, Drew, David A, Graham, Mark S, Joshi, Amit D, Guo, Chuan-Guo, Ma, Wenjie, Mehta, Raaj S, Warner, Erica T, Sikavi, Daniel R, Lo, Chun-Han, Kwon, Sohee, Song, Mingyang, Mucci, Lorelei A, Stampfer, Meir J, Willett, Walter C, Eliassen, A Heather, Hart, Jaime E, Chavarro, Jorge E, Rich-Edwards, Janet W, Davies, Richard, Capdevila, Joan, Lee, Karla A, Lochlainn, Mary Ni, Varsavsky, Thomas, Sudre, Carole H, Cardoso, M Jorge, Wolf, Jonathan, Spector, Tim D, Ourselin, Sebastien, Steves, Claire J, and Chan, Andrew T

Published
2020
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