Browsing by Author "Canzian, Federico"
Now showing items 1-3 of 3
-
Cox, David G.; Lund, Eiliv; Blanché, Hélène; Pearce, Celeste L.; Calle, Eugenia E.; Colditz, Graham A.; Pike, Malcolm C.; Albanes, Demetrius; Allen, Naomi E.; Amiano, Pilar; Berglund, Göran; Boeing, Heiner; Buring, Julie; Burtt, Noel; Canzian, Federico; Chanock, Stephen; Flavel-Chapelon, Françoise; Feigelson, Heather Spencer; Freedman, Matthew; Haiman, Christopher A.; Hankinson, Susan E.; Henderson, Brian E.; Hoover, Robert; Hunter, David J.; Kaaks, Rudolf; Kolonel, Laurence; Kraft, Peter; LeMarchand, Loic; Palli, Domenico; Peeters, Petra H.M.; Riboli, Elio; Stram, Daniel O.; Thun, Michael; Tjönneland, Anne; Trichopoulos, Dimitrios; Yeager, Meredith (Journal article; Tidsskriftartikkel; Peer reviewed, 20-Sep-2006)[+][-]
Abstract: Introduction Androgens have been hypothesised to influence risk of breast cancer through several possible mechanisms, including their conversion to estradiol or their binding to the oestrogen receptor and/or androgen receptor (AR) in the breast. Here, we report on the results of a large and comprehensive study of the association between genetic variation in the AR gene and risk of breast cancer in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3). Methods The underlying genetic variation was determined by first sequencing the coding regions of the AR gene in a panel of 95 advanced breast cancer cases. Second, a dense set of markers from the public database was genotyped in a panel of 349 healthy women. The linkage disequilibrium relationships (blocks) across the gene were then identified, and haplotype-tagging single nucleotide polymorphisms (htSNPs) were selected to capture the common genetic variation across the locus. The htSNPs were then genotyped in the nested breast cancer cases and controls from the Cancer Prevention Study II, European Prospective Investigation into Cancer and Nutrition, Multiethnic Cohort, Nurses' Health Study, and Women's Health Study cohorts (5,603 breast cancer cases and 7,480 controls). Results We found no association between any genetic variation (SNP, haplotype, or the exon 1 CAG repeat) in the AR gene and risk of breast cancer, nor were any statistical interactions with known breast cancer risk factors observed. Conclusion Among postmenopausal Caucasian women, common variants of the AR gene are not associated with risk of breast cancer. URI: http://hdl.handle.net/10037/1107 File(s) in this item: 1
article.pdf (409.2Kb) -
Lund, Eiliv; Canzian, Federico; Kaaks, Rudolf; Cox, David G.; Henderson, Katherine D.; Henderson, Brian E.; Berg, Christine; Bingham, Sheila; Boeing, Heiner; Buring, Julie; Calle, Eugenia E.; Chanock, Stephen; Clavel-Chapelon, Francoise; Dossus, Laure; Feigelson, Heather Spencer; Haiman, Christopher A.; Hankinson, Susan E.; Hoover, Robert; Hunter, David J.; Isaacs, Claudine; Lenner, Per; Overvad, Kim; Palli, Domenico; Pearce, Celeste Leigh; Quiros, Jose R.; Riboli, Elio; Stram, Daniel O.; Thomas, Gilles; Thun, Michael J.; Trichopoulos, Dimitrios; van Gils, Carla H.; Ziegler, Regina G. (Journal article; Tidsskriftartikkel; Peer reviewed, 29-Jul-2009)[+][-]
Abstract: Background: Gonadotropin releasing hormone (GNRH1) triggers the release of follicle stimulating hormone and luteinizing hormone from the pituitary. Genetic variants in the gene encoding GNRH1 or its receptor may influence breast cancer risk by modulating production of ovarian steroid hormones. We studied the association between breast cancer risk and polymorphisms in genes that code for GNRH1 and its receptor (GNRHR) in the large National Cancer Institute Breast and Prostate Cancer Cohort Consortium (NCI-BPC3).
Methods: We sequenced exons of GNRH1 and GNRHR in 95 invasive breast cancer cases. Resulting single nucleotide polymorphisms (SNPs) were genotyped and used to identify haplotypetagging SNPs (htSNPS) in a panel of 349 healthy women. The htSNPs were genotyped in 5,603 invasive breast cancer cases and 7,480 controls from the Cancer Prevention Study-II (CPS-II), European Prospective Investigation on Cancer and Nutrition (EPIC), Multiethnic Cohort (MEC), Nurses' Health Study (NHS), and Women's Health Study (WHS). Circulating levels of sex steroids (androstenedione, estradiol, estrone and testosterone) were also measured in 4713 study subjects.
Results: Breast cancer risk was not associated with any polymorphism or haplotype in the GNRH1 and GNRHR genes, nor were there any statistically significant interactions with known breast cancer risk factors. Polymorphisms in these two genes were not strongly associated with circulating hormone levels.
Conclusion: Common variants of the GNRH1 and GNRHR genes are not associated with risk of invasive breast cancer in Caucasians.URI: http://hdl.handle.net/10037/2188 File(s) in this item: 1
article.pdf (986.8Kb) -
Caboux, Elodie; Lallemand, Christophe; Ferro, Gilles; Hemon, Bertrand; Mendy, Maimuna; Biessy, Carine; Sims, Matt; Wareham, Nicholas; Britten, Abigail; Boland, Anne; Hutchinson, Amy; Siddiq, Afshan; Vineis, Paolo; Riboli, Elio; Romieu, Isabelle; Rinaldi, Sabina; Gunter, Mark J.; Peeters, Petra H.M.; van der Schouw, Yvonne T.; Travis, Ruth C.; Bueno-De-Mesquita, H. Bas; Canzian, Federico; Sanchez, Maria-José; Skeie, Guri; Olsen, Karina Standahl; Lund, Eiliv; Bilbao, Roberto; Sala, Núria; Barricarte, Aurelio; Palli, Domenico; Navarro, Carmen; Panico, Salvatore; Redondo, Maria Luisa; Polidoro, Silvia; Dossus, Laure; Boutron-Ruault, Marie-Christine; Clavel-Chapelon, Françoise; Trichopoulou, Antonia; Trichopoulos, Dimitrios; Lagiou, Pagona; Boeing, Heiner; Fisher, Eva; Tumino, Rosario; Agnoli, Claudia; Hainaut, Pierre (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)[+][-]
Abstract: The European Prospective Investigation into Cancer and nutrition (EPIC) is a long-term, multi-centric prospective study in Europe investigating the relationships between cancer and nutrition. This study has served as a basis for a number of Genome-Wide Association Studies (GWAS) and other types of genetic analyses. Over a period of 5 years, 52,256 EPIC DNA samples have been extracted using an automated DNA extraction platform. Here we have evaluated the pre-analytical factors affecting DNA yield, including anthropometric, epidemiological and technical factors such as center of subject recruitment, age, gender, body-mass index, disease case or control status, tobacco consumption, number of aliquots of buffy coat used for DNA extraction, extraction machine or procedure, DNA quantification method, degree of haemolysis and variations in the timing of sample processing. We show that the largest significant variations in DNA yield were observed with degree of haemolysis and with center of subject recruitment. Age, gender, body-mass index, cancer case or control status and tobacco consumption also significantly impacted DNA yield. Feedback from laboratories which have analyzed DNA with different SNP genotyping technologies demonstrate that the vast majority of samples (approximately 88%) performed adequately in different types of assays. To our knowledge this study is the largest to date to evaluate the sources of pre-analytical variations in DNA extracted from peripheral leucocytes. The results provide a strong evidence-based rationale for standardized recommendations on blood collection and processing protocols for large-scale genetic studies. URI: http://hdl.handle.net/10037/5016 File(s) in this item: 1
article.pdf (193.2Kb)
Now showing items 1-3 of 3
Search Munin
Browse
-
All of Munin
Help
Munin is powered by DSpace 1.8.2
The University Library of Tromsø, N-9037 Tromsø
Tel: +47 77 64 40 00, E-mail: munin@ub.uit.no