Title |
Polymorphisms in genes related to one-carbon metabolism are not related to pancreatic cancer in PanScan and PanC4
|
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Published in |
Cancer Causes & Control, January 2013
|
DOI | 10.1007/s10552-012-0138-0 |
Pubmed ID | |
Authors |
Max Leenders, Samsiddhi Bhattacharjee, Paolo Vineis, Victoria Stevens, H. Bas Bueno-de-Mesquita, Xiao-Ou Shu, Laufey Amundadottir, Myron Gross, Geoffrey S. Tobias, Jean Wactawski-Wende, Alan A. Arslan, Eric J. Duell, Charles S. Fuchs, Steven Gallinger, Patricia Hartge, Robert N. Hoover, Elizabeth A. Holly, Eric J. Jacobs, Alison P. Klein, Charles Kooperberg, Andrea LaCroix, Donghui Li, Margaret T. Mandelson, Sara H. Olson, Gloria Petersen, Harvey A. Risch, Kai Yu, Brian M. Wolpin, Wei Zheng, Ilir Agalliu, Demetrius Albanes, Marie-Christine Boutron-Ruault, Paige M. Bracci, Julie E. Buring, Federico Canzian, Kenneth Chang, Stephen J. Chanock, Michelle Cotterchio, J. Michael Gaziano, Edward L. Giovanucci, Michael Goggins, Göran Hallmans, Susan E. Hankinson, Judith A. Hoffman-Bolton, David J. Hunter, Amy Hutchinson, Kevin B. Jacobs, Mazda Jenab, Kay-Tee Khaw, Peter Kraft, Vittorio Krogh, Robert C. Kurtz, Robert R. McWilliams, Julie B. Mendelsohn, Alpa V. Patel, Kari G. Rabe, Elio Riboli, Anne Tjønneland, Dimitrios Trichopoulos, Jarmo Virtamo, Kala Visvanathan, Joanne W. Elena, Herbert Yu, Anne Zeleniuch-Jacquotte, Rachael Z. Stolzenberg-Solomon |
Abstract |
The evidence of a relation between folate intake and one-carbon metabolism (OCM) with pancreatic cancer (PanCa) is inconsistent. In this study, the association between genes and single-nucleotide polymorphisms (SNPs) related to OCM and PanCa was assessed. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 3% |
Unknown | 30 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 42% |
Professor | 4 | 13% |
Other | 3 | 10% |
Student > Ph. D. Student | 2 | 6% |
Student > Bachelor | 1 | 3% |
Other | 4 | 13% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 29% |
Biochemistry, Genetics and Molecular Biology | 7 | 23% |
Environmental Science | 2 | 6% |
Computer Science | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 13% |
Unknown | 6 | 19% |