Literature DB >> 15069692

Association of metabolic gene polymorphisms with tobacco consumption in healthy controls.

Kim M Smits1, Simone Benhamou, Seymour Garte, Matty P Weijenberg, Yannis Alamanos, Christine Ambrosone, Herman Autrup, Judith L Autrup, Helena Baranova, Lisa Bathum, Paolo Boffetta, C Bouchardy, Jurgen Brockmoller, Dorota Butkiewicz, Ingolf Cascorbi, Margie L Clapper, Christiane Coutelle, Ann K Daly, Giacomo Muzi, Vita Dolzan, Tatyana G Duzhak, Katrin Farker, Klaus Golka, Aage Haugen, David W Hein, Allan Hildesheim, Ari Hirvonen, Ling L Hsieh, Magnus Ingelman-Sundberg, Ivan Kalina, Daehee Kang, Takahiko Katoh, Masahiro Kihara, Masako Ono-Kihara, Heon Kim, Chikako Kiyohara, Pierre Kremers, Philip Lazarus, Loic Le Marchand, Maria C Lechner, Stephanie London, Johannes J Manni, Christine M Maugard, Gareth J Morgan, Shunji Morita, Valle Nazar-Stewart, Vessela Nedelcheva Kristensen, Yoshio Oda, Fritz F Parl, Wilbert H M Peters, Agneta Rannug, Timothy Rebbeck, Luis F Ribeiro Pinto, Angela Risch, Marjorie Romkes, Jan Salagovic, Bernadette Schoket, Janeric Seidegard, Peter G Shields, Edith Sim, Daniel Sinnett, Richard C Strange, Isabelle Stucker, Haruhiko Sugimura, Jordi To-Figueras, Paolo Vineis, Mimi C Yu, Wei Zheng, Paola Pedotti, Emanuela Taioli.   

Abstract

Polymorphisms in genes that encode for metabolic enzymes have been associated with variations in enzyme activity between individuals. Such variations could be associated with differences in individual exposure to carcinogens that are metabolized by these genes. In this study, we examine the association between polymorphisms in several metabolic genes and the consumption of tobacco in a large sample of healthy individuals. The database of the International Collaborative Study on Genetic Susceptibility to Environmental Carcinogens was used. All the individuals who were controls from the case-control studies included in the data set with information on smoking habits and on genetic polymorphisms were selected (n = 20938). Sufficient information was available on the following genes that are involved in the metabolism of tobacco smoke constituents: CYP1A1, GSTM1, GSTT1, NAT2 and GSTP1. None of the tested genes was clearly associated with smoking behavior. Information on smoking dose, available for a subset of subjects, showed no effect of metabolic gene polymorphisms on the amount of smoking. No association between polymorphisms in the genes studied and tobacco consumption was observed; therefore, no effect of these genes on smoking behavior should be expected. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15069692     DOI: 10.1002/ijc.20114

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  8 in total

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Journal:  Obstet Gynecol       Date:  2010-03       Impact factor: 7.661

2.  The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies.

Authors:  M Elizabeth Hodgson; Andrew F Olshan; Kari E North; Charles L Poole; Donglin Zeng; Chiu-Kit Tse; Tope O Keku; Joseph Galanko; Robert Sandler; Robert C Millikan
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3.  In utero tobacco exposure epigenetically modifies placental CYP1A1 expression.

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Journal:  Metabolism       Date:  2010-05-11       Impact factor: 8.694

4.  Polymorphisms in genes related to activation or detoxification of carcinogens might interact with smoking to increase renal cancer risk: results from The Netherlands Cohort Study on diet and cancer.

Authors:  Kim M Smits; Leo J Schouten; Boukje A C van Dijk; Kjeld van Houwelingen; Christina A Hulsbergen-van de Kaa; Lambertus A L M Kiemeney; R Alexandra Goldbohm; Egbert Oosterwijk; Piet A van den Brandt
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Review 5.  Environmental influences on epigenetic profiles.

Authors:  Melissa A Suter; Kjersti M Aagaard-Tillery
Journal:  Semin Reprod Med       Date:  2009-08-26       Impact factor: 1.303

6.  Comparison of CYP1A2 and NAT2 phenotypes between black and white smokers.

Authors:  Joshua E Muscat; Brian Pittman; Wayne Kleinman; Philip Lazarus; Steven D Stellman; John P Richie
Journal:  Biochem Pharmacol       Date:  2008-07-25       Impact factor: 5.858

Review 7.  Genotype, phenotype and cancer: role of low penetrance genes and environment in tumour susceptibility.

Authors:  Ashwin Kotnis; Rajiv Sarin; Rita Mulherkar
Journal:  J Biosci       Date:  2005-02       Impact factor: 2.795

8.  Clustered environments and randomized genes: a fundamental distinction between conventional and genetic epidemiology.

Authors:  George Davey Smith; Debbie A Lawlor; Roger Harbord; Nic Timpson; Ian Day; Shah Ebrahim
Journal:  PLoS Med       Date:  2007-12       Impact factor: 11.069

  8 in total

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