Literature DB >> 11895852

Gene-environment interaction and aetiology of cancer: what does it mean and how can we measure it?

Paul Brennan1.   

Abstract

One form of defence against cancer development involves a series of genes whose role is to metabolize and excrete potentially toxic compounds and to repair subtle mistakes in DNA. Much laboratory and epidemiological research over the past decade has concentrated on the identification of these genes and an assessment of their role in cancer aetiology. Of particular interest has been whether the risk of cancer associated with a particular environmental exposure differs with respect to functionally different polymorphisms of these genes, i.e. gene-environment interaction. A large number of studies have been conducted for numerous genes and also for all common cancer sites, although results have been very inconsistent and therefore inconclusive. This is partially due to the inadequate sample size of most studies to detect modest effects and the over-reporting of positive associations identified in subgroups of the dataset. There is also much confusion about the meaning of "gene-environment interaction", what type of studies should be conducted to study it and also how it should be measured. Furthermore, the very purpose of these studies is not clear; are they attempting to identify high-risk individuals, or are they simply trying to further understand the cancer process? This review will explore these questions and provide some recommendations to help ensure that the next phase of gene-environment interaction studies, which are likely to be much larger and based on many more genes, also provide some clearer answers.

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Year:  2002        PMID: 11895852     DOI: 10.1093/carcin/23.3.381

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  42 in total

Review 1.  Genetic factors of age-related macular degeneration.

Authors:  Jingsheng Tuo; Christine M Bojanowski; Chi-Chao Chan
Journal:  Prog Retin Eye Res       Date:  2004-03       Impact factor: 21.198

Review 2.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

Review 3.  Capitalizing on Mendelian randomization to assess the effects of treatments.

Authors:  George Davey Smith
Journal:  J R Soc Med       Date:  2007-09       Impact factor: 5.344

4.  A variant of the Cockayne syndrome B gene ERCC6 confers risk of lung cancer.

Authors:  Zhongning Lin; Xuemei Zhang; Jingsheng Tuo; Yongli Guo; Bridgett Green; Chi-Chao Chan; Wen Tan; Ying Huang; Wenhua Ling; Fred F Kadlubar; Dongxin Lin; Baitang Ning
Journal:  Hum Mutat       Date:  2008-01       Impact factor: 4.878

5.  Molecular epidemiology of major depressive disorder.

Authors:  Chikako Kiyohara; Kouichi Yoshimasu
Journal:  Environ Health Prev Med       Date:  2009-01-20       Impact factor: 3.674

6.  Nonsynonymous polymorphisms of histamine-metabolising enzymes in patients with Parkinson's disease.

Authors:  José A G Agúndez; Antonio Luengo; Oscar Herráez; Carmen Martínez; Hortensia Alonso-Navarro; Félix Javier Jiménez-Jiménez; Elena García-Martín
Journal:  Neuromolecular Med       Date:  2007-11-06       Impact factor: 3.843

7.  Relationship among metabolizing genes, smoking and alcohol used as modifier factors on prostate cancer risk: exploring some gene-gene and gene-environment interactions.

Authors:  Dante D Cáceres; Jeannette Iturrieta; Cristian Acevedo; Christian Huidobro; Nelson Varela; Luis Quiñones
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

8.  Zinc-gene interaction related to inflammatory/immune response in ageing.

Authors:  Eugenio Mocchegiani; Marco Malavolta
Journal:  Genes Nutr       Date:  2008-07       Impact factor: 5.523

9.  Genetic polymorphisms of MDM2 and TP53 genes are associated with risk of nasopharyngeal carcinoma in a Chinese population.

Authors:  Mang Xiao; Lei Zhang; Xinhua Zhu; Jun Huang; Huifen Jiang; Sunhong Hu; Yuehui Liu
Journal:  BMC Cancer       Date:  2010-04-18       Impact factor: 4.430

10.  Familial risks for type 2 diabetes in Sweden.

Authors:  Kari Hemminki; Xinjun Li; Kristina Sundquist; Jan Sundquist
Journal:  Diabetes Care       Date:  2009-11-10       Impact factor: 19.112

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