1,013 results on '"Becker, Nikolaus"'
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2. Prostatakarzinom-Screening? Nur evidenzbasiert, risikoadaptiert und organisiert!
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Albers, Peter and Becker, Nikolaus
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- 2024
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3. Multiparametric Magnetic Resonance Imaging in Prostate Cancer Screening at the Age of 45 Years: Results from the First Screening Round of the PROBASE Trial
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Boschheidgen, Matthias, Albers, Peter, Schlemmer, Heinz-Peter, Hellms, Susanne, Bonekamp, David, Sauter, Andreas, Hadaschik, Boris, Krilaviciute, Agne, Radtke, Jan Philipp, Seibold, Petra, Lakes, Jale, Arsov, Christian, Gschwend, Jürgen E., Herkommer, Kathleen, Makowski, Marcus, Kuczyk, Markus A., Wacker, Frank, Harke, Nina, Debus, Jürgen, Körber, Stefan A., Benner, Axel, Kristiansen, Glen, Giesel, Frederik L., Antoch, Gerald, Kaaks, Rudolf, Becker, Nikolaus, and Schimmöller, Lars
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- 2024
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4. Risk-adjusted Screening for Prostate Cancer—Defining the Low-risk Group by Data from the PROBASE Trial
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Krilaviciute, Agne, Kaaks, Rudolf, Seibold, Petra, de Vrieze, Maxime, Lakes, Jale, Radtke, Jan Philipp, Kuczyk, Markus, Harke, Nina N., Debus, Jürgen, Fink, Christoph A., Herkommer, Kathleen, Gschwend, Jürgen E., Meissner, Valentin H., Benner, Axel, Kristiansen, Glen, Hadaschik, Boris, Arsov, Christian, Schimmöller, Lars, Antoch, Gerald, Giesel, Frederik L., Makowski, Marcus, Wacker, Frank, Schlemmer, Heinz-Peter, Becker, Nikolaus, and Albers, Peter
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- 2024
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5. Lifetime occupational and recreational physical activity and risk of lymphoma subtypes. Results from the European Epilymph case-control study
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Meloni, Federico, Benavente, Yolanda, Becker, Nikolaus, Delphine, Casabonne, Foretova, Lenka, Maynadié, Marc, Nieters, Alexandra, Staines, Anthony, Trobbiani, Carlotta, Pilia, Ilaria, Zucca, Mariagrazia, and Cocco, Pierluigi
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- 2023
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6. Digital Rectal Examination Is Not a Useful Screening Test for Prostate Cancer
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Krilaviciute, Agne, Becker, Nikolaus, Lakes, Jale, Radtke, Jan Philipp, Kuczyk, Markus, Peters, Inga, Harke, Nina N., Debus, Jürgen, Koerber, Stefan A., Herkommer, Kathleen, Gschwend, Jürgen E., Meissner, Valentin H., Benner, Axel, Seibold, Petra, Kristiansen, Glen, Hadaschik, Boris, Arsov, Christian, Schimmöller, Lars, Giesel, Frederik Lars, Antoch, Gerald, Makowski, Marcus, Wacker, Frank, Schlemmer, Heinz-Peter, Kaaks, Rudolf, and Albers, Peter
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- 2023
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7. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
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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
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- 2022
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8. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
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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
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- 2023
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9. Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes
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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
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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.
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- 2019
10. Occupational exposure to organic dust and risk of lymphoma subtypes in the EPILYMPH case–control study
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Cocco, Pierluigi, Satta, Giannina, Meloni, Federico, Pilia, Ilaria, Ahmed, Fahad, Becker, Nikolaus, Casabonne, Delphine, de Sanjosé, Silvia, Foretova, Lenka, Maynadié, Marc, Nieters, Alexandra, Staines, Anthony, Mannetje, Andrea ‘t, Zucca, Mariagrazia, Ennas, Maria Grazia, Campagna, Marcello, De Matteis, Sara, and Benavente, Yolanda
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- 2021
11. Corrigendum to “Lifetime occupational and recreational physical activity and risk of lymphoma subtypes. Results from the European Epilymph case-control study” [Cancer Epidemiol. 87 (2023) 102495]
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Meloni, Federico, primary, Benavente, Yolanda, additional, Becker, Nikolaus, additional, Casabonne, Delphine, additional, Foretova, Lenka, additional, Maynadié, Marc, additional, Nieters, Alexandra, additional, Staines, Anthony, additional, Trobbiani, Carlotta, additional, Pilia, Ilaria, additional, Zucca, Mariagrazia, additional, and Cocco, Pierluigi, additional
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- 2024
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12. Immunosuppressive Induction Therapy Using the Antithymocyteglobulin Grafalon: A Single-Center Non-Interventional Study.
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Becker, Nikolaus, Pereyra, David, Dingfelder, Jule, Tortopis, Chiara, Saffarian Zadeh, Tina, Riha, Moriz, Kacar, Sertac, Soliman, Thomas, Berlakovich, Gabriela A., and Györi, Georg
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BACTERIAL diseases , *LIVER transplantation , *LEUCOPENIA , *OVERALL survival , *BACTEREMIA - Abstract
Background: Induction therapy with depleting antibodies in the setting of liver transplantation (LT) is discussed controversially to this day. The rabbit antithymocyteglobulin (ATG) Thymoglobulin (rATG) was introduced as early as 1984 and was frequently used as a standard regime for induction therapy after LT. There are no public reports characterizing Grafalon (ATG-F), a novel ATG, as an induction agent after LT. Objectives: The aim of this observational non-interventional study was to investigate the safety and efficacy of Grafalon induction therapy and characterize its clinical effects in the setting of LT. Methods: A cohort of 80 patients undergoing deceased donor LT at the Medical University of Vienna and receiving Grafalon as part of the clinical standard immunosuppressive regimen was prospectively included between March 2021 and November 2022. Patients were monitored closely for leukocytopenia and thrombocytopenia during the first postoperative week and followed up for incidence and severity of biopsy-proven acute rejection (BPAR), overall survival, and bacterial infections in the first year after LT. Results: The incidences of thrombocytopenia and leukocytopenia following Grafalon treatment peaked on postoperative day four, with 64% and 31%, respectively. However, there were no cases of severe leukocytopenia after the first postoperative week. Induction therapy with Grafalon resulted in a rate of localized bacterial infections and bacteremia of 28% and 21%, respectively. The rate of BPAR was 12.5% in the first year after LT; the one-year survival rate in this cohort was 90%. Conclusions: Overall, this study provides evidence of the safety and efficacy of Grafalon as an induction agent. Further studies investigating the potential long-term effects of Grafalon, as well as comparison studies with different immunosuppressive regimens, are needed in order to draw further conclusions. [ABSTRACT FROM AUTHOR]
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- 2024
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13. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes
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Machiela, Mitchell J, Lan, Qing, Slager, Susan L, Vermeulen, Roel CH, Teras, Lauren R, Camp, Nicola J, Cerhan, James R, Spinelli, John J, Wang, Sophia S, Nieters, Alexandra, Vijai, Joseph, Yeager, Meredith, Wang, Zhaoming, Ghesquières, Hervé, McKay, James, Conde, Lucia, de Bakker, Paul IW, Cox, David G, Burdett, Laurie, Monnereau, Alain, Flowers, Christopher R, De Roos, Anneclaire J, Brooks-Wilson, Angela R, Giles, Graham G, Melbye, Mads, Gu, Jian, Jackson, Rebecca D, Kane, Eleanor, Purdue, Mark P, Vajdic, Claire M, Albanes, Demetrius, Kelly, Rachel S, Zucca, Mariagrazia, Bertrand, Kimberly A, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Hutchinson, Amy, Zhi, Degui, Habermann, Thomas M, Link, Brian K, Novak, Anne J, Dogan, Ahmet, Asmann, Yan W, Liebow, Mark, Thompson, Carrie A, Ansell, Stephen M, Witzig, Thomas E, Tilly, Hervé, Haioun, Corinne, Molina, Thierry J, Hjalgrim, Henrik, Glimelius, Bengt, Adami, Hans-Olov, Roos, Göran, Bracci, Paige M, Riby, Jacques, Smith, Martyn T, Holly, Elizabeth A, Cozen, Wendy, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Tinker, Lesley F, North, Kari E, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, Lightfoot, Tracy, Crouch, Simon, Smith, Alex, Roman, Eve, Diver, W Ryan, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Villano, Danylo J, Zheng, Tongzhang, Zhang, Yawei, Holford, Theodore R, Turner, Jenny, Southey, Melissa C, Clavel, Jacqueline, Virtamo, Jarmo, Weinstein, Stephanie, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Boeing, Heiner, Tjønneland, Anne, Angelucci, Emanuele, Di Lollo, Simonetta, Rais, Marco, De Vivo, Immaculata, Giovannucci, Edward, Kraft, Peter, and Huang, Jinyan
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Clinical Research ,Rare Diseases ,Genetics ,Cancer ,Hematology ,Lymphoma ,Adolescent ,Adult ,Age Factors ,Aged ,Aged ,80 and over ,Female ,Genetic Association Studies ,Genetic Predisposition to Disease ,Humans ,Lymphoma ,B-Cell ,Male ,Middle Aged ,Prospective Studies ,Telomere ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 × 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 × 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk.
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- 2016
14. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types
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Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G
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Tobacco ,Clinical Research ,Urologic Diseases ,Lung ,Genetics ,Rare Diseases ,Lung Cancer ,Human Genome ,Hematology ,Cancer ,Tobacco Smoke and Health ,Prevention ,Lymphoma ,Adult ,Aged ,Asian People ,Bone Neoplasms ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Kidney Neoplasms ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lung Neoplasms ,Lymphoma ,Large B-Cell ,Diffuse ,Male ,Middle Aged ,Neoplasms ,Osteosarcoma ,Polymorphism ,Single Nucleotide ,Smoking ,Testicular Neoplasms ,Tissue Array Analysis ,Urinary Bladder Neoplasms ,White People ,Oncology and Carcinogenesis ,Oncology & Carcinogenesis - Abstract
BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
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- 2015
15. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.
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Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G
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Humans ,Neoplasms ,Osteosarcoma ,Bone Neoplasms ,Testicular Neoplasms ,Lung Neoplasms ,Kidney Neoplasms ,Genetic Predisposition to Disease ,Tissue Array Analysis ,Smoking ,Polymorphism ,Single Nucleotide ,Adult ,Aged ,Middle Aged ,Asian Continental Ancestry Group ,European Continental Ancestry Group ,Female ,Male ,Urinary Bladder Neoplasms ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lymphoma ,Large B-Cell ,Diffuse ,Genome-Wide Association Study ,Polymorphism ,Single Nucleotide ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lymphoma ,Large B-Cell ,Diffuse ,Oncology And Carcinogenesis ,Oncology & Carcinogenesis ,Oncology and Carcinogenesis - Abstract
BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
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- 2015
16. Associations of Non-Hodgkin Lymphoma (NHL) Risk With Autoimmune Conditions According to Putative NHL Loci
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Wang, Sophia S, Vajdic, Claire M, Linet, Martha S, Slager, Susan L, Voutsinas, Jenna, Nieters, Alexandra, de Sanjose, Silvia, Cozen, Wendy, Alarcón, Graciela S, Martinez-Maza, Otoniel, Brown, Elizabeth E, Bracci, Paige M, Lightfoot, Tracy, Turner, Jennifer, Hjalgrim, Henrik, Spinelli, John J, Zheng, Tongzhang, Morton, Lindsay M, Birmann, Brenda M, Flowers, Christopher R, Paltiel, Ora, Becker, Nikolaus, Holly, Elizabeth A, Kane, Eleanor, Weisenburger, Dennis, Maynadie, Marc, Cocco, Pierluigi, Foretova, Lenka, Staines, Anthony, Davis, Scott, Severson, Richard, Cerhan, James R, Breen, Elizabeth C, Lan, Qing, Brooks-Wilson, Angela, De Roos, Anneclaire J, Smith, Martyn T, Roman, Eve, Boffetta, Paolo, Kricker, Anne, Zhang, Yawei, Skibola, Christine, Chanock, Stephen J, Rothman, Nathaniel, Benavente, Yolanda, Hartge, Patricia, and Smedby, Karin E
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Cancer ,HIV/AIDS ,Autoimmune Disease ,Genetics ,Lymphoma ,Rare Diseases ,Hematology ,Aetiology ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,Autoimmune Diseases ,Case-Control Studies ,HLA Antigens ,Humans ,Interleukin-10 ,Lymphoma ,Non-Hodgkin ,Polymorphism ,Single Nucleotide ,Tumor Necrosis Factor-alpha ,autoimmune conditions ,environment ,genetics ,interaction ,human leukocyte antigen ,lymphoma ,non-Hodgkin ,tumor necrosis factor ,lymphoma ,non-Hodgkin ,Mathematical Sciences ,Medical and Health Sciences ,Epidemiology - Abstract
Autoimmune conditions and immune system-related genetic variations are associated with risk of non-Hodgkin lymphoma (NHL). In a pooled analysis of 8,692 NHL cases and 9,260 controls from 14 studies (1988-2007) within the International Lymphoma Epidemiology Consortium, we evaluated the interaction between immune system genetic variants and autoimmune conditions in NHL risk. We evaluated the immunity-related single nucleotide polymorphisms rs1800629 (tumor necrosis factor gene (TNF) G308A), rs1800890 (interleukin-10 gene (IL10) T3575A), rs6457327 (human leukocyte antigen gene (HLA) class I), rs10484561 (HLA class II), and rs2647012 (HLA class II)) and categorized autoimmune conditions as primarily mediated by B-cell or T-cell responses. We constructed unconditional logistic regression models to measure associations between autoimmune conditions and NHL with stratification by genotype. Autoimmune conditions mediated by B-cell responses were associated with increased NHL risk, specifically diffuse large B-cell lymphoma (odds ratio (OR) = 3.11, 95% confidence interval (CI): 2.25, 4.30) and marginal zone lymphoma (OR = 5.80, 95% CI: 3.82, 8.80); those mediated by T-cell responses were associated with peripheral T-cell lymphoma (OR = 2.14, 95% CI: 1.35, 3.38). In the presence of the rs1800629 AG/AA genotype, B-cell-mediated autoimmune conditions increased NHL risk (OR = 3.27, 95% CI: 2.07, 5.16; P-interaction = 0.03) in comparison with the GG genotype (OR = 1.82, 95% CI: 1.31, 2.53). This interaction was consistent across major B-cell NHL subtypes, including marginal zone lymphoma (P-interaction = 0.02) and follicular lymphoma (P-interaction = 0.04).
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- 2015
17. A genome-wide association study of marginal zone lymphoma shows association to the HLA region.
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Vijai, Joseph, Wang, Zhaoming, Berndt, Sonja I, Skibola, Christine F, Slager, Susan L, de Sanjose, Silvia, Melbye, Mads, Glimelius, Bengt, Bracci, Paige M, Conde, Lucia, Birmann, Brenda M, Wang, Sophia S, Brooks-Wilson, Angela R, Lan, Qing, de Bakker, Paul IW, Vermeulen, Roel CH, Portlock, Carol, Ansell, Stephen M, Link, Brian K, Riby, Jacques, North, Kari E, Gu, Jian, Hjalgrim, Henrik, Cozen, Wendy, Becker, Nikolaus, Teras, Lauren R, Spinelli, John J, Turner, Jenny, Zhang, Yawei, Purdue, Mark P, Giles, Graham G, Kelly, Rachel S, Zeleniuch-Jacquotte, Anne, Ennas, Maria Grazia, Monnereau, Alain, Bertrand, Kimberly A, Albanes, Demetrius, Lightfoot, Tracy, Yeager, Meredith, Chung, Charles C, Burdett, Laurie, Hutchinson, Amy, Lawrence, Charles, Montalvan, Rebecca, Liang, Liming, Huang, Jinyan, Ma, Baoshan, Villano, Danylo J, Maria, Ann, Corines, Marina, Thomas, Tinu, Novak, Anne J, Dogan, Ahmet, Liebow, Mark, Thompson, Carrie A, Witzig, Thomas E, Habermann, Thomas M, Weiner, George J, Smith, Martyn T, Holly, Elizabeth A, Jackson, Rebecca D, Tinker, Lesley F, Ye, Yuanqing, Adami, Hans-Olov, Smedby, Karin E, De Roos, Anneclaire J, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Diver, W Ryan, Vajdic, Claire M, Armstrong, Bruce K, Kricker, Anne, Zheng, Tongzhang, Holford, Theodore R, Severi, Gianluca, Vineis, Paolo, Ferri, Giovanni M, Ricco, Rosalia, Miligi, Lucia, Clavel, Jacqueline, Giovannucci, Edward, Kraft, Peter, Virtamo, Jarmo, Smith, Alex, Kane, Eleanor, Roman, Eve, Chiu, Brian CH, Fraumeni, Joseph F, Wu, Xifeng, Cerhan, James R, Offit, Kenneth, and Chanock, Stephen J
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Humans ,Membrane Glycoproteins ,Computational Biology ,Major Histocompatibility Complex ,Genotype ,Polymorphism ,Single Nucleotide ,European Continental Ancestry Group ,Lymphoma ,B-Cell ,Marginal Zone ,Genome-Wide Association Study ,Butyrophilins ,Polymorphism ,Single Nucleotide ,Lymphoma ,B-Cell ,Marginal Zone - Abstract
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
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- 2015
18. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma
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Cerhan, James R, Berndt, Sonja I, Vijai, Joseph, Ghesquières, Hervé, McKay, James, Wang, Sophia S, Wang, Zhaoming, Yeager, Meredith, Conde, Lucia, de Bakker, Paul IW, Nieters, Alexandra, Cox, David, Burdett, Laurie, Monnereau, Alain, Flowers, Christopher R, De Roos, Anneclaire J, Brooks-Wilson, Angela R, Lan, Qing, Severi, Gianluca, Melbye, Mads, Gu, Jian, Jackson, Rebecca D, Kane, Eleanor, Teras, Lauren R, Purdue, Mark P, Vajdic, Claire M, Spinelli, John J, Giles, Graham G, Albanes, Demetrius, Kelly, Rachel S, Zucca, Mariagrazia, Bertrand, Kimberly A, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Hutchinson, Amy, Zhi, Degui, Habermann, Thomas M, Link, Brian K, Novak, Anne J, Dogan, Ahmet, Asmann, Yan W, Liebow, Mark, Thompson, Carrie A, Ansell, Stephen M, Witzig, Thomas E, Weiner, George J, Veron, Amelie S, Zelenika, Diana, Tilly, Hervé, Haioun, Corinne, Molina, Thierry Jo, Hjalgrim, Henrik, Glimelius, Bengt, Adami, Hans-Olov, Bracci, Paige M, Riby, Jacques, Smith, Martyn T, Holly, Elizabeth A, Cozen, Wendy, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Tinker, Lesley F, North, Kari E, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, Lightfoot, Tracy, Crouch, Simon, Smith, Alex, Roman, Eve, Diver, W Ryan, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Villano, Danylo J, Zheng, Tongzhang, Zhang, Yawei, Holford, Theodore R, Kricker, Anne, Turner, Jenny, Southey, Melissa C, Clavel, Jacqueline, Virtamo, Jarmo, Weinstein, Stephanie, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Vermeulen, Roel CH, Boeing, Heiner, Tjonneland, Anne, Angelucci, Emanuele, Di Lollo, Simonetta, Rais, Marco, and Birmann, Brenda M
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Human Genome ,Rare Diseases ,Genetics ,Cancer ,Hematology ,Lymphoma ,Aetiology ,2.1 Biological and endogenous factors ,Chromosome Mapping ,Computational Biology ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Likelihood Functions ,Lymphoma ,Large B-Cell ,Diffuse ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,White People ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.
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- 2014
19. Genome-wide Association Study Identifies Five Susceptibility Loci for Follicular Lymphoma outside the HLA Region
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Skibola, Christine F, Berndt, Sonja I, Vijai, Joseph, Conde, Lucia, Wang, Zhaoming, Yeager, Meredith, de Bakker, Paul IW, Birmann, Brenda M, Vajdic, Claire M, Foo, Jia-Nee, Bracci, Paige M, Vermeulen, Roel CH, Slager, Susan L, de Sanjose, Silvia, Wang, Sophia S, Linet, Martha S, Salles, Gilles, Lan, Qing, Severi, Gianluca, Hjalgrim, Henrik, Lightfoot, Tracy, Melbye, Mads, Gu, Jian, Ghesquières, Hervé, Link, Brian K, Morton, Lindsay M, Holly, Elizabeth A, Smith, Alex, Tinker, Lesley F, Teras, Lauren R, Kricker, Anne, Becker, Nikolaus, Purdue, Mark P, Spinelli, John J, Zhang, Yawei, Giles, Graham G, Vineis, Paolo, Monnereau, Alain, Bertrand, Kimberly A, Albanes, Demetrius, Zeleniuch-Jacquotte, Anne, Gabbas, Attilio, Chung, Charles C, Burdett, Laurie, Hutchinson, Amy, Lawrence, Charles, Montalvan, Rebecca, Liang, Liming, Huang, Jinyan, Ma, Baoshan, Liu, Jianjun, Adami, Hans-Olov, Glimelius, Bengt, Ye, Yuanqing, Nowakowski, Grzegorz S, Dogan, Ahmet, Thompson, Carrie A, Habermann, Thomas M, Novak, Anne J, Liebow, Mark, Witzig, Thomas E, Weiner, George J, Schenk, Maryjean, Hartge, Patricia, De Roos, Anneclaire J, Cozen, Wendy, Zhi, Degui, Akers, Nicholas K, Riby, Jacques, Smith, Martyn T, Lacher, Mortimer, Villano, Danylo J, Maria, Ann, Roman, Eve, Kane, Eleanor, Jackson, Rebecca D, North, Kari E, Diver, W Ryan, Turner, Jenny, Armstrong, Bruce K, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, McKay, James, Brooks-Wilson, Angela R, Zheng, Tongzhang, Holford, Theodore R, Chamosa, Saioa, Kaaks, Rudolph, Kelly, Rachel S, Ohlsson, Bodil, Travis, Ruth C, Weiderpass, Elisabete, Clavel, Jacqueline, Giovannucci, Edward, Kraft, Peter, and Virtamo, Jarmo
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Hematology ,Cancer ,Clinical Research ,Human Genome ,Lymphoma ,Genetics ,Rare Diseases ,2.1 Biological and endogenous factors ,Aetiology ,Alleles ,Biomarkers ,Tumor ,Case-Control Studies ,Chromosomes ,Human ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,HLA Antigens ,Haplotypes ,Humans ,Lymphoma ,Follicular ,Polymorphism ,Single Nucleotide ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [OR(per-allele)] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (OR(per-allele) = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk.
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- 2014
20. Multiparametric Magnetic Resonance Imaging in Prostate Cancer Screening at the Age of 45 Years: Results from the First Screening Round of the PROBASE Trial
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Boschheidgen, Matthias, primary, Albers, Peter, additional, Schlemmer, Heinz-Peter, additional, Hellms, Susanne, additional, Bonekamp, David, additional, Sauter, Andreas, additional, Hadaschik, Boris, additional, Krilaviciute, Agne, additional, Radtke, Jan Philipp, additional, Seibold, Petra, additional, Lakes, Jale, additional, Arsov, Christian, additional, Gschwend, Jürgen E., additional, Herkommer, Kathleen, additional, Makowski, Marcus, additional, Kuczyk, Markus A., additional, Wacker, Frank, additional, Harke, Nina, additional, Debus, Jürgen, additional, Körber, Stefan A., additional, Benner, Axel, additional, Kristiansen, Glen, additional, Giesel, Frederik L., additional, Antoch, Gerald, additional, Kaaks, Rudolf, additional, Becker, Nikolaus, additional, and Schimmöller, Lars, additional
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- 2023
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21. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
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Berndt, Sonja I, Skibola, Christine F, Joseph, Vijai, Camp, Nicola J, Nieters, Alexandra, Wang, Zhaoming, Cozen, Wendy, Monnereau, Alain, Wang, Sophia S, Kelly, Rachel S, Lan, Qing, Teras, Lauren R, Chatterjee, Nilanjan, Chung, Charles C, Yeager, Meredith, Brooks-Wilson, Angela R, Hartge, Patricia, Purdue, Mark P, Birmann, Brenda M, Armstrong, Bruce K, Cocco, Pierluigi, Zhang, Yawei, Severi, Gianluca, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Burdette, Laurie, Yuenger, Jeffrey, Hutchinson, Amy, Jacobs, Kevin B, Call, Timothy G, Shanafelt, Tait D, Novak, Anne J, Kay, Neil E, Liebow, Mark, Wang, Alice H, Smedby, Karin E, Adami, Hans-Olov, Melbye, Mads, Glimelius, Bengt, Chang, Ellen T, Glenn, Martha, Curtin, Karen, Cannon-Albright, Lisa A, Jones, Brandt, Diver, W Ryan, Link, Brian K, Weiner, George J, Conde, Lucia, Bracci, Paige M, Riby, Jacques, Holly, Elizabeth A, Smith, Martyn T, Jackson, Rebecca D, Tinker, Lesley F, Benavente, Yolanda, Becker, Nikolaus, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Rabe, Kari G, Achenbach, Sara J, Vachon, Celine M, Goldin, Lynn R, Strom, Sara S, Lanasa, Mark C, Spector, Logan G, Leis, Jose F, Cunningham, Julie M, Weinberg, J Brice, Morrison, Vicki A, Caporaso, Neil E, Norman, Aaron D, Linet, Martha S, De Roos, Anneclaire J, Morton, Lindsay M, Severson, Richard K, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Masala, Giovanna, Weiderpass, Elisabete, Chirlaque, María-Dolores, Vermeulen, Roel CH, Travis, Ruth C, Giles, Graham G, Albanes, Demetrius, Virtamo, Jarmo, Weinstein, Stephanie, Clavel, Jacqueline, Zheng, Tongzhang, Holford, Theodore R, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Spinelli, John J, and Bertrand, Kimberly A
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Cancer ,Case-Control Studies ,Chromosomes ,Human ,Pair 2 ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Linkage Disequilibrium ,Polymorphism ,Single Nucleotide ,Recombination ,Genetic ,Risk ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.
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- 2013
22. Longitudinal airway remodeling in active and past smokers in a lung cancer screening population
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Jobst, Bertram J., Weinheimer, Oliver, Buschulte, Torben, Trauth, Mila, Tremper, Jan, Delorme, Stefan, Becker, Nikolaus, Motsch, Erna, Groß, Marie-Luise, Trotter, Anke, Eichinger, Monika, Kauczor, Hans-Ulrich, and Wielpütz, Mark O.
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- 2019
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23. Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32
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Conde, Lucia, Halperin, Eran, Akers, Nicholas K, Brown, Kevin M, Smedby, Karin E, Rothman, Nathaniel, Nieters, Alexandra, Slager, Susan L, Brooks-Wilson, Angela, Agana, Luz, Riby, Jacques, Liu, Jianjun, Adami, Hans-Olov, Darabi, Hatef, Hjalgrim, Henrik, Low, Hui-Qi, Humphreys, Keith, Melbye, Mads, Chang, Ellen T, Glimelius, Bengt, Cozen, Wendy, Davis, Scott, Hartge, Patricia, Morton, Lindsay M, Schenk, Maryjean, Wang, Sophia S, Armstrong, Bruce, Kricker, Anne, Milliken, Sam, Purdue, Mark P, Vajdic, Claire M, Boyle, Peter, Lan, Qing, Zahm, Shelia H, Zhang, Yawei, Zheng, Tongzhang, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Butterbach, Katja, Cocco, Pierluigi, Foretova, Lenka, Maynadié, Marc, de Sanjosé, Silvia, Staines, Anthony, Spinelli, John J, Achenbach, Sara J, Call, Timothy G, Camp, Nicola J, Glenn, Martha, Caporaso, Neil E, Cerhan, James R, Cunningham, Julie M, Goldin, Lynn R, Hanson, Curtis A, Kay, Neil E, Lanasa, Mark C, Leis, Jose F, Marti, Gerald E, Rabe, Kari G, Rassenti, Laura Z, Spector, Logan G, Strom, Sara S, Vachon, Celine M, Weinberg, J Brice, Holly, Elizabeth A, Chanock, Stephen, Smith, Martyn T, Bracci, Paige M, and Skibola, Christine F
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Lymphoma ,Prevention ,Cancer ,Human Genome ,Genetics ,Rare Diseases ,Hematology ,Aetiology ,2.1 Biological and endogenous factors ,Disease Susceptibility ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Leukemia ,Lymphocytic ,Chronic ,B-Cell ,Lymphoma ,Follicular ,Lymphoma ,Non-Hodgkin ,Major Histocompatibility Complex ,Risk Factors ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
To identify susceptibility loci for non-Hodgkin lymphoma subtypes, we conducted a three-stage genome-wide association study. We identified two variants associated with follicular lymphoma at 6p21.32 (rs10484561, combined P = 1.12 x 10(-29) and rs7755224, combined P = 2.00 x 10(-19); r(2) = 1.0), supporting the idea that major histocompatibility complex genetic variation influences follicular lymphoma susceptibility. We also found confirmatory evidence of a previously reported association between chronic lymphocytic leukemia/small lymphocytic lymphoma and rs735665 (combined P = 4.24 x 10(-9)).
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- 2010
24. Polymorphisms in the estrogen receptor 1 and vitamin C and matrix metalloproteinase gene families are associated with susceptibility to lymphoma.
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Skibola, Christine F, Bracci, Paige M, Halperin, Eran, Nieters, Alexandra, Hubbard, Alan, Paynter, Randi A, Skibola, Danica R, Agana, Luz, Becker, Nikolaus, Tressler, Patrick, Forrest, Matthew S, Sankararaman, Sriram, Conde, Lucia, Holly, Elizabeth A, and Smith, Martyn T
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Humans ,Lymphoma ,Non-Hodgkin ,Genetic Predisposition to Disease ,Ascorbic Acid ,Matrix Metalloproteinases ,Estrogen Receptor alpha ,Risk Factors ,Case-Control Studies ,Environment ,Gene Frequency ,Polymorphism ,Genetic ,Polymorphism ,Single Nucleotide ,Models ,Genetic ,Female ,Male ,General Science & Technology - Abstract
BackgroundNon-Hodgkin lymphoma (NHL) is the fifth most common cancer in the U.S. and few causes have been identified. Genetic association studies may help identify environmental risk factors and enhance our understanding of disease mechanisms.Methodology/principal findings768 coding and haplotype tagging SNPs in 146 genes were examined using Illumina GoldenGate technology in a large population-based case-control study of NHL in the San Francisco Bay Area (1,292 cases 1,375 controls are included here). Statistical analyses were restricted to HIV- participants of white non-Hispanic origin. Genes involved in steroidogenesis, immune function, cell signaling, sunlight exposure, xenobiotic metabolism/oxidative stress, energy balance, and uptake and metabolism of cholesterol, folate and vitamin C were investigated. Sixteen SNPs in eight pathways and nine haplotypes were associated with NHL after correction for multiple testing at the adjusted q
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- 2008
25. Disease Mapping of Stage-Specific Cancer Incidence Data
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Knorr-Held, Leonhard, Raßer, Günter, and Becker, Nikolaus
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- 2002
26. Human papillomavirus as prognostic marker with rising prevalence in neck squamous cell carcinoma of unknown primary: A retrospective multicentre study
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Schroeder, Lea, Boscolo-Rizzo, Paolo, Dal Cin, Elisa, Romeo, Salvatore, Baboci, Lorena, Dyckhoff, Gerhard, Hess, Jochen, Lucena-Porcel, Carlota, Byl, Anne, Becker, Nikolaus, Alemany, Laia, Castellsagué, Xavier, Quer, Miquel, León, Xavier, Wiesenfarth, Manuel, Pawlita, Michael, and Holzinger, Dana
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- 2017
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27. Solvent exposure and malignant lymphoma: a population-based case-control study in Germany.
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Seidler, Andreas, Möhner, Matthias, Berger, Jürgen, Mester, Birte, Deeg, Evelin, Elsner, Gine, Nieters, Alexandra, and Becker, Nikolaus
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Other Medical and Health Sciences ,Environmental & Occupational Health - Abstract
AimsTo analyze the relationship between exposure to chlorinated and aromatic organic solvents and malignant lymphoma in a multi-centre, population-based case-control study.MethodsMale and female patients with malignant lymphoma (n = 710) between 18 and 80 years of age were prospectively recruited in six study regions in Germany (Ludwigshafen/Upper Palatinate, Heidelberg/Rhine-Neckar-County, Würzburg/Lower Frankonia, Hamburg, Bielefeld/Gütersloh, and Munich). For each newly recruited lymphoma case, a gender, region and age-matched (+/- 1 year of birth) population control was drawn from the population registers. In a structured personal interview, we elicited a complete occupational history, including every occupational period that lasted at least one year. On the basis of job task-specific supplementary questionnaires, a trained occupational physician assessed the exposure to chlorinated hydrocarbons (trichloroethylene, tetrachloroethylene, dichloromethane, carbon tetrachloride) and aromatic hydrocarbons (benzene, toluene, xylene, styrene). Odds ratios (OR) and 95% confidence intervals (CI) were calculated using conditional logistic regression analysis, adjusted for smoking (in pack years) and alcohol consumption. To increase the statistical power, patients with specific lymphoma subentities were additionally compared with the entire control group using unconditional logistic regression analysis.ResultsWe observed a statistically significant association between high exposure to chlorinated hydrocarbons and malignant lymphoma (Odds ratio = 2.1; 95% confidence interval 1.1-4.3). In the analysis of lymphoma subentities, a pronounced risk elevation was found for follicular lymphoma and marginal zone lymphoma. When specific substances were considered, the association between trichloroethylene and malignant lymphoma was of borderline statistical significance. Aromatic hydrocarbons were not significantly associated with the lymphoma diagnosis.ConclusionIn accordance with the literature, this data point to a potential etiologic role of chlorinated hydrocarbons (particularly trichloroethylene) and malignant lymphoma. Chlorinated hydrocarbons might affect specific lymphoma subentities differentially. Our study does not support a strong association between aromatic hydrocarbons (benzene, toluene, xylene, or styrene) and the diagnosis of a malignant lymphoma.
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- 2007
28. SMR Analysis of Historical Follow-up Studies with Missing Death Certificates
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Rittgen, Werner and Becker, Nikolaus
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- 2000
29. Mit Eberhard Schorsch in der Schreibstube
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Becker, Nikolaus, primary
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- 2019
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30. Supplementary Table 1, Figures 1-4 from Selecting High-Risk Individuals for Lung Cancer Screening: A Prospective Evaluation of Existing Risk Models and Eligibility Criteria in the German EPIC Cohort
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Li, Kuanrong, primary, Hüsing, Anika, primary, Sookthai, Disorn, primary, Bergmann, Manuela, primary, Boeing, Heiner, primary, Becker, Nikolaus, primary, and Kaaks, Rudolf, primary
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- 2023
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31. Data from Selecting High-Risk Individuals for Lung Cancer Screening: A Prospective Evaluation of Existing Risk Models and Eligibility Criteria in the German EPIC Cohort
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Li, Kuanrong, primary, Hüsing, Anika, primary, Sookthai, Disorn, primary, Bergmann, Manuela, primary, Boeing, Heiner, primary, Becker, Nikolaus, primary, and Kaaks, Rudolf, primary
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- 2023
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32. Data from HLA Class I and II Diversity Contributes to the Etiologic Heterogeneity of Non-Hodgkin Lymphoma Subtypes
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Wang, Sophia S., primary, Carrington, Mary, primary, Berndt, Sonja I., primary, Slager, Susan L., primary, Bracci, Paige M., primary, Voutsinas, Jenna, primary, Cerhan, James R., primary, Smedby, Karin E., primary, Hjalgrim, Henrik, primary, Vijai, Joseph, primary, Morton, Lindsay M., primary, Vermeulen, Roel, primary, Paltiel, Ora, primary, Vajdic, Claire M., primary, Linet, Martha S., primary, Nieters, Alexandra, primary, de Sanjose, Silvia, primary, Cozen, Wendy, primary, Brown, Elizabeth E., primary, Turner, Jennifer, primary, Spinelli, John J., primary, Zheng, Tongzhang, primary, Birmann, Brenda M., primary, Flowers, Christopher R., primary, Becker, Nikolaus, primary, Holly, Elizabeth A., primary, Kane, Eleanor, primary, Weisenburger, Dennis, primary, Maynadie, Marc, primary, Cocco, Pierluigi, primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Teras, Lauren R., primary, Diver, W. Ryan, primary, Lax, Stephanie J., primary, Travis, Ruth C., primary, Kaaks, Rudolph, primary, Riboli, Elio, primary, Benavente, Yolanda, primary, Brennan, Paul, primary, McKay, James, primary, Delfau-Larue, Marie-Hélène, primary, Link, Brian K., primary, Magnani, Corrado, primary, Ennas, Maria Grazia, primary, Latte, Giancarlo, primary, Feldman, Andrew L., primary, Doo, Nicole Wong, primary, Giles, Graham G., primary, Southey, Melissa C., primary, Milne, Roger L., primary, Offit, Kenneth, primary, Musinsky, Jacob, primary, Arslan, Alan A., primary, Purdue, Mark P., primary, Adami, Hans-Olov, primary, Melbye, Mads, primary, Glimelius, Bengt, primary, Conde, Lucia, primary, Camp, Nicola J., primary, Glenn, Martha, primary, Curtin, Karen, primary, Clavel, Jacqueline, primary, Monnereau, Alain, primary, Cox, David G., primary, Ghesquières, Hervé, primary, Salles, Gilles, primary, Bofetta, Paulo, primary, Foretova, Lenka, primary, Staines, Anthony, primary, Davis, Scott, primary, Severson, Richard K., primary, Lan, Qing, primary, Brooks-Wilson, Angela, primary, Smith, Martyn T., primary, Roman, Eve, primary, Kricker, Anne, primary, Zhang, Yawei, primary, Kraft, Peter, primary, Chanock, Stephen J., primary, Rothman, Nathaniel, primary, Hartge, Patricia, primary, and Skibola, Christine F., primary
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- 2023
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33. Data from A Novel Risk Locus at 6p21.3 for Epstein–Barr Virus-Positive Hodgkin Lymphoma
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Delahaye-Sourdeix, Manon, primary, Urayama, Kevin Y., primary, Gaborieau, Valérie, primary, Veenstra, Rianne, primary, Foll, Matthieu, primary, Chabrier, Amelie, primary, Benavente, Yolanda, primary, Nieters, Alexandra, primary, Becker, Nikolaus, primary, Foretova, Lenka, primary, Maynadié, Marc, primary, Staines, Anthony, primary, Smedby, Karin Ekstrom, primary, Glimelius, Ingrid, primary, Lightfoot, Tracy, primary, Cocco, Pierluigi, primary, Galan, Pilar, primary, Vatten, Lars J., primary, Duell, Eric J., primary, Kiemeney, Lambertus, primary, Roman, Eve, primary, de Sanjosé, Silvia, primary, Lathrop, Mark, primary, Melbye, Mads, primary, Brennan, Paul, primary, Diepstra, Arjan, primary, van den Berg, Anke, primary, Hjalgrim, Henrik, primary, Jarrett, Ruth F., primary, and McKay, James D., primary
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- 2023
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34. Supplementary Table 2 from A Pooled Analysis of Alcohol Consumption and Risk of Multiple Myeloma in the International Multiple Myeloma Consortium
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Andreotti, Gabriella, primary, Birmann, Brenda, primary, De Roos, Anneclaire J., primary, Spinelli, John, primary, Cozen, Wendy, primary, Camp, Nicola J., primary, Moysich, Kirsten, primary, Chiu, Brian, primary, Steplowski, Emily, primary, Krzystan, Joseph, primary, Boffetta, Paolo, primary, Benhaim-Luzon, Véronique, primary, Brennan, Paul, primary, de Sanjosé, Silvia, primary, Costas, Laura, primary, Costantini, Adele Seniori, primary, Miligi, Lucia, primary, Cocco, Pierluigi, primary, Becker, Nikolaus, primary, Foretová, Lenka, primary, Maynadié, Marc, primary, Nieters, Alexandra, primary, Staines, Anthony, primary, Tricot, Guido, primary, Milliken, Kevin, primary, Weisenburger, Dennis, primary, Zheng, Tongzhang, primary, Baris, Dalsu, primary, and Purdue, Mark P., primary
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- 2023
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35. Data from A Pooled Analysis of Alcohol Consumption and Risk of Multiple Myeloma in the International Multiple Myeloma Consortium
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Andreotti, Gabriella, primary, Birmann, Brenda, primary, De Roos, Anneclaire J., primary, Spinelli, John, primary, Cozen, Wendy, primary, Camp, Nicola J., primary, Moysich, Kirsten, primary, Chiu, Brian, primary, Steplowski, Emily, primary, Krzystan, Joseph, primary, Boffetta, Paolo, primary, Benhaim-Luzon, Véronique, primary, Brennan, Paul, primary, de Sanjosé, Silvia, primary, Costas, Laura, primary, Costantini, Adele Seniori, primary, Miligi, Lucia, primary, Cocco, Pierluigi, primary, Becker, Nikolaus, primary, Foretová, Lenka, primary, Maynadié, Marc, primary, Nieters, Alexandra, primary, Staines, Anthony, primary, Tricot, Guido, primary, Milliken, Kevin, primary, Weisenburger, Dennis, primary, Zheng, Tongzhang, primary, Baris, Dalsu, primary, and Purdue, Mark P., primary
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- 2023
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36. Supplementary Table 3 from A Pooled Analysis of Alcohol Consumption and Risk of Multiple Myeloma in the International Multiple Myeloma Consortium
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Andreotti, Gabriella, primary, Birmann, Brenda, primary, De Roos, Anneclaire J., primary, Spinelli, John, primary, Cozen, Wendy, primary, Camp, Nicola J., primary, Moysich, Kirsten, primary, Chiu, Brian, primary, Steplowski, Emily, primary, Krzystan, Joseph, primary, Boffetta, Paolo, primary, Benhaim-Luzon, Véronique, primary, Brennan, Paul, primary, de Sanjosé, Silvia, primary, Costas, Laura, primary, Costantini, Adele Seniori, primary, Miligi, Lucia, primary, Cocco, Pierluigi, primary, Becker, Nikolaus, primary, Foretová, Lenka, primary, Maynadié, Marc, primary, Nieters, Alexandra, primary, Staines, Anthony, primary, Tricot, Guido, primary, Milliken, Kevin, primary, Weisenburger, Dennis, primary, Zheng, Tongzhang, primary, Baris, Dalsu, primary, and Purdue, Mark P., primary
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- 2023
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37. Supplementary data from Young Adult and Usual Adult Body Mass Index and Multiple Myeloma Risk: A Pooled Analysis in the International Multiple Myeloma Consortium (IMMC)
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Birmann, Brenda M., primary, Andreotti, Gabriella, primary, De Roos, Anneclaire J., primary, Camp, Nicola J., primary, Chiu, Brian C.H., primary, Spinelli, John J., primary, Becker, Nikolaus, primary, Benhaim-Luzon, Véronique, primary, Bhatti, Parveen, primary, Boffetta, Paolo, primary, Brennan, Paul, primary, Brown, Elizabeth E., primary, Cocco, Pierluigi, primary, Costas, Laura, primary, Cozen, Wendy, primary, de Sanjosé, Silvia, primary, Foretová, Lenka, primary, Giles, Graham G., primary, Maynadié, Marc, primary, Moysich, Kirsten, primary, Nieters, Alexandra, primary, Staines, Anthony, primary, Tricot, Guido, primary, Weisenburger, Dennis, primary, Zhang, Yawei, primary, Baris, Dalsu, primary, and Purdue, Mark P., primary
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- 2023
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38. Supplementary Table 1 from A Pooled Analysis of Alcohol Consumption and Risk of Multiple Myeloma in the International Multiple Myeloma Consortium
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Andreotti, Gabriella, primary, Birmann, Brenda, primary, De Roos, Anneclaire J., primary, Spinelli, John, primary, Cozen, Wendy, primary, Camp, Nicola J., primary, Moysich, Kirsten, primary, Chiu, Brian, primary, Steplowski, Emily, primary, Krzystan, Joseph, primary, Boffetta, Paolo, primary, Benhaim-Luzon, Véronique, primary, Brennan, Paul, primary, de Sanjosé, Silvia, primary, Costas, Laura, primary, Costantini, Adele Seniori, primary, Miligi, Lucia, primary, Cocco, Pierluigi, primary, Becker, Nikolaus, primary, Foretová, Lenka, primary, Maynadié, Marc, primary, Nieters, Alexandra, primary, Staines, Anthony, primary, Tricot, Guido, primary, Milliken, Kevin, primary, Weisenburger, Dennis, primary, Zheng, Tongzhang, primary, Baris, Dalsu, primary, and Purdue, Mark P., primary
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- 2023
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39. Supplemental Table 1. from A Pooled Analysis of Reproductive Factors, Exogenous Hormone Use, and Risk of Multiple Myeloma among Women in the International Multiple Myeloma Consortium
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Costas, Laura, primary, Lambert, Brice H., primary, Birmann, Brenda M., primary, Moysich, Kirsten B., primary, De Roos, Anneclaire J., primary, Hofmann, Jonathan N., primary, Baris, Dalsu, primary, Wang, Sophia S., primary, Camp, Nicola J., primary, Tricot, Guido, primary, Atanackovic, Djordje, primary, Brennan, Paul, primary, Cocco, Pierluigi, primary, Nieters, Alexandra, primary, Becker, Nikolaus, primary, Maynadié, Marc, primary, Foretová, Lenka, primary, Boffetta, Paolo, primary, Staines, Anthony, primary, Brown, Elisabeth E., primary, and de Sanjosé, Silvia, primary
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- 2023
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40. Supplementary Tables S1- S6 and Supplementary Figure S1 from A Novel Risk Locus at 6p21.3 for Epstein–Barr Virus-Positive Hodgkin Lymphoma
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Delahaye-Sourdeix, Manon, primary, Urayama, Kevin Y., primary, Gaborieau, Valérie, primary, Veenstra, Rianne, primary, Foll, Matthieu, primary, Chabrier, Amelie, primary, Benavente, Yolanda, primary, Nieters, Alexandra, primary, Becker, Nikolaus, primary, Foretova, Lenka, primary, Maynadié, Marc, primary, Staines, Anthony, primary, Smedby, Karin Ekstrom, primary, Glimelius, Ingrid, primary, Lightfoot, Tracy, primary, Cocco, Pierluigi, primary, Galan, Pilar, primary, Vatten, Lars J., primary, Duell, Eric J., primary, Kiemeney, Lambertus, primary, Roman, Eve, primary, de Sanjosé, Silvia, primary, Lathrop, Mark, primary, Melbye, Mads, primary, Brennan, Paul, primary, Diepstra, Arjan, primary, van den Berg, Anke, primary, Hjalgrim, Henrik, primary, Jarrett, Ruth F., primary, and McKay, James D., primary
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- 2023
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41. Supplemental Figure 1. from A Pooled Analysis of Reproductive Factors, Exogenous Hormone Use, and Risk of Multiple Myeloma among Women in the International Multiple Myeloma Consortium
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Costas, Laura, primary, Lambert, Brice H., primary, Birmann, Brenda M., primary, Moysich, Kirsten B., primary, De Roos, Anneclaire J., primary, Hofmann, Jonathan N., primary, Baris, Dalsu, primary, Wang, Sophia S., primary, Camp, Nicola J., primary, Tricot, Guido, primary, Atanackovic, Djordje, primary, Brennan, Paul, primary, Cocco, Pierluigi, primary, Nieters, Alexandra, primary, Becker, Nikolaus, primary, Maynadié, Marc, primary, Foretová, Lenka, primary, Boffetta, Paolo, primary, Staines, Anthony, primary, Brown, Elisabeth E., primary, and de Sanjosé, Silvia, primary
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- 2023
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42. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes
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IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, 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, 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, Rothman, Nathaniel, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, 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, 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
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- 2023
43. Welches Behandlungssetting ist für stationäre forensische Patienten im Alter ≥ 60 Jahre geeignet?Eine systematische Analyse der Literatur.
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Bausch-Becker, Nikolaus, Brackmann, Nathalie, Sternemann, Ulf, and Habermeyer, Elmar
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- 2023
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44. Lifetime Occupational and Recreational Physical Activity and Risk of Lymphoma Subtypes: Results from the European Epilymph Case-Control Study
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Meloni, Federico, primary, Benavente, Yolanda, additional, Becker, Nikolaus, additional, Delphine, Casabonne, additional, Foretova, Lenka, additional, Maynadié, Marc, additional, Nieters, Alexandra, additional, Staines, Anthony, additional, Trobbiani, Carlotta, additional, Pilia, Ilaria, additional, Zucca, Mariagrazia, additional, and Cocco, Pierluigi, additional
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- 2023
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45. Effect of smoking cessation on quantitative computed tomography in smokers at risk in a lung cancer screening population
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Jobst, Bertram J., Weinheimer, Oliver, Trauth, Mila, Becker, Nikolaus, Motsch, Erna, Groß, Marie-Luise, Tremper, Jan, Delorme, Stefan, Eigentopf, Anke, Eichinger, Monika, Kauczor, Hans-Ulrich, and Wielpütz, Mark O.
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- 2017
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46. Association between socioeconomic and demographic characteristics and utilization of colonoscopy in the EPIC–Heidelberg cohort
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Hermann, Silke, Friedrich, Susanne, Haug, Ulrike, Rohrmann, Sabine, Becker, Nikolaus, and Kaaks, Rudolf
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- 2015
47. Epidemiology of Multiple Myeloma
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Becker, Nikolaus, Moehler, Thomas, editor, and Goldschmidt, Hartmut, editor
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- 2011
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48. Adherence to a risk‐adapted screening strategy for prostate cancer: First results of the PROBASE trial
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Krilaviciute, Agne, primary, Albers, Peter, additional, Lakes, Jale, additional, Radtke, Jan Philipp, additional, Herkommer, Kathleen, additional, Gschwend, Jürgen, additional, Peters, Inga, additional, Kuczyk, Markus, additional, Koerber, Stefan A., additional, Debus, Jürgen, additional, Kristiansen, Glen, additional, Schimmöller, Lars, additional, Antoch, Gerald, additional, Makowski, Marcus, additional, Wacker, Frank, additional, Schlemmer, Heinz, additional, Benner, Axel, additional, Giesel, Frederik, additional, Siener, Roswitha, additional, Arsov, Christian, additional, Hadaschik, Boris, additional, Becker, Nikolaus, additional, and Kaaks, Rudolf, additional
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- 2022
- Full Text
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49. Negotiating decisions on aggressive cancer care at end-of-life between patients, family members, and physicians – A qualitative interview study
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Haun, Markus W., primary, Wildenauer, Alina, additional, Hartmann, Mechthild, additional, Bleyel, Caroline, additional, Becker, Nikolaus, additional, Jäger, Dirk, additional, Friederich, Hans-Christoph, additional, and Tönnies, Justus, additional
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- 2022
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50. Epidemiologie bösartiger Neubildungen
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Becker, Nikolaus, Hiddemann, Wolfgang, editor, and Bartram, Claus R., editor
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- 2010
- Full Text
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