Research Group Genomic Epidemiology

Dr. Federico Canzian

Study of genetic variation in relation to cancer risk and survival.

Our main focus is to investigate the relation between human genetic variability and susceptibility to cancer. Cancer risk is influenced by inherited genetic variants conferring small to moderate risk of disease. Addition of small risks determined by single genetic variants can concur to increase or decrease significantly cancer susceptibility. We aim at identifying genetic variants that alter cancer risk, alone or in interaction with common environmental and lifestyle exposures, with the long-term goal of elaborating predictive models and adopting screening strategies for cancer prevention.
Genetic variability is thought to be also responsible for the inter-individual differences observed in responses to drugs and in the onset of side effects, as well as long term outcomes (i.e. overall survival or event-free survival) of patients. Therefore, our objective is also to perform studies on pharmacogenetics and survival.
To achieve the needed power to detect each small contribution to cancer risk we operate in the context of large-scale population-based studies (i.e. international cohorts and/or consortia). Our studies are mainly performed through the candidate gene (i.e. hypothesis driven exhaustive study of genetic variants in key genes) and the genome-wide (i.e. screening of thousand of variants in genome-wide association studies (GWAS)) approaches, including the following investigations to further characterize the best hits emerging from GWAS.

Future Outlook
We will continue the expansion of the consortia on pancreatic cancer and multiple myeloma we created. We are actively trying to recruit new clinical collaborators and also to include cases and controls from prospective cohorts. So far our collections of cases and controls are almost exclusively including subjects of Caucasian origin, but we plan to expand the consortia to other ethnicities as well.
We aim at establishing and evaluating the performance of multifactorial risk scores, alone or in conjunction with markers for early detection of cancer.
In parallel with the focus on genetic factors influencing risk, response to treatment and survival, we plan to characterize our cancer cases and controls for other biomarkers or intermediate endpoints, which could affect cancer etiology as well. In particular, we are interested in somatic genetic alterations, telomere length, gene expression, methylation, mitochondrial copy number. The techniques to measure these markers are either being set up in our lab or implemented in collaborating groups at DKFZ, or commercially available. The long-term goal of this approach is to generate rich, multi-dimensional dataset on cancer cases and controls, in order to have a more complete picture of genetic, epigenetic and environmental risk factors, which will provide useful insight in mechanisms of carcinogenesis.


Dr. Federico Canzian
Genomic Epidemiology (C055)
Deutsches Krebsforschungszentrum
Im Neuenheimer Feld 580
69120 Heidelberg
Tel: +49 (0)6221 42 1791

Selected Publications

  • Zhang M, Wang Z, Obazee O, Jia J, Childs EJ, Hoskins J, Figlioli G, Mocci E, Collins I, Chung CC, Hautman C, Arslan AA, Beane-Freeman L, Bracci PM, Buring J, Duell EJ, Gallinger S, Giles GG, Goodman GE, Goodman PJ, Kamineni A, Kolonel LN, Kulke MH, Malats N, Olson SH, Sesso HD, Visvanathan K, White E, Zheng W, Abnet CC, Albanes D, Andreotti G, Brais L, Bueno-de-Mesquita HB, Basso D, Berndt SI, Boutron-Ruault MC, Bijlsma MF, Brenner H, Burdette L, Campa D, Caporaso NE, Capurso G, Cavestro GM, Cotterchio M, Costello E, Elena J, Boggi U, Gaziano JM, Gazouli M, Giovannucci EL, Goggins M, Gross M, Haiman CA, Hassan M, Helzlsouer KJ, Hu N, Hunter DJ, Iskierka-Jazdzewska E, Jenab M, Kaaks R, Key TJ, Khaw KT, Klein EA, Kogevinas M, Krogh V, Kupcinskas J, Kurtz RC, Landi MT, Landi S, Le Marchand L, Mambrini A, Mannisto S, Milne RL, Neale RE, Oberg AL, Panico S, Patel AV, Peeters PH, Peters U, Pezzilli R, Porta M, Purdue M, Quiros JR, Riboli E, Rothman N, Scarpa A, Scelo G, Shu XO, Silverman DT, Soucek P, Strobel O, Sund M, Ma?ecka-Panas E, Taylor PR, Tavano F, Travis RC, Thornquist M, Tjønneland A, Tobias GS, Trichopoulos D, Vashist Y, Vodicka P, Wactawski-Wende J, Wentzensen N, Yu H, Yu K, Zeleniuch-Jacquotte A, Kooperberg C, Risch HA, Jacobs EJ, Li D, Fuchs C, Hoover R, Hartge P, Chanock SJ, Petersen GM, Stolzenberg-Solomon RS, Wolpin BM, Kraft P, Klein AP, Canzian F, Amundadottir LT. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21. Oncotarget. 2016 Oct 11;7(41):66328-66343.
  • Childs EJ, Mocci E, Campa D, Bracci PM, Gallinger S, Goggins M, Li D, Neale RE, Olson SH, Scelo G, Amundadottir LT, Bamlet WR, Bijlsma MF, Blackford A, Borges M, Brennan P, Brenner H, Bueno-de-Mesquita HB, Canzian F, Capurso G, Cavestro GM, Chaffee KG, Chanock SJ, Cleary SP, Cotterchio M, Foretova L, Fuchs C, Funel N, Gazouli M, Hassan M, Herman JM, Holcatova I, Holly EA, Hoover RN, Hung RJ, Janout V, Key TJ, Kupcinskas J, Kurtz RC, Landi S, Lu L, Malecka-Panas E, Mambrini A, Mohelnikova-Duchonova B, Neoptolemos JP, Oberg AL, Orlow I, Pasquali C, Pezzilli R, Rizzato C, Saldia A, Scarpa A, Stolzenberg-Solomon RZ, Strobel O, Tavano F, Vashist YK, Vodicka P, Wolpin BM, Yu H, Petersen GM, Risch HA, Klein AP. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer. Nat Genet. 2015 Aug;47(8):911-6.
  • Campa D, Martino A, Varkonyi J, Lesueur F, Jamroziak K, Landi S, Jurczyszyn A, Marques H, Andersen V, Jurado M, Brenner H, Petrini M, Vogel U, García-Sanz R, Buda G, Gemignani F, Ríos R, Vangsted AJ, Dumontet C, Martínez-López J, Moreno MJ, St?pie? A, W?tek M, Moreno V, Dieffenbach AK, Rossi AM, Butterbach K, Jacobsen SE, Goldschmidt H, Sainz J, Hillengass J, Orciuolo E, Dudzi?ski M, Weinhold N, Reis RM, Canzian F. Risk of multiple myeloma is associated with polymorphisms within telomerase genes and telomere length. Int J Cancer. 2015 Mar 1;136(5):E351-8.
  • Ziv E, Dean E, Hu D, Martino A, Serie D, Curtin K, Campa D, Aftab B, Bracci P, Buda G, Zhao Y, Caswell-Jin J, Diasio R, Dumontet C, Dudzi?ski M, Fejerman L, Greenberg A, Huntsman S, Jamroziak K, Jurczyszyn A, Kumar S, Atanackovic D, Glenn M, Cannon-Albright LA, Jones B, Lee A, Marques H, Martin T, Martinez-Lopez J, Rajkumar V, Sainz J, Vangsted AJ, W?tek M, Wolf J, Slager S, Camp NJ, Canzian F, Vachon C. Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients. Nat Commun. 2015 Jul 22;6:7539.
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