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Andreotti G, Koutros S, Berndt SI, et al. The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk. J Cancer Epidemiol. 2012;2012:358076doi: 10.1155/2012/358076.
Andreotti, G., Koutros, S., Berndt, S. I., Hughes Barry, K., Hou, L., Hoppin, J. A., Sandler, D. P., Lubin, J. H., Burdette, L. A., Yuenger, J., Yeager, M., Beane Freeman, L. E., & Alavanja, M. C. (2012). The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk. Journal of cancer epidemiology, 2012358076. https://doi.org/10.1155/2012/358076
Andreotti, Gabriella, et al. "The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk." Journal of cancer epidemiology vol. 2012 (2012): 358076. doi: https://doi.org/10.1155/2012/358076
Andreotti G, Koutros S, Berndt SI, Hughes Barry K, Hou L, Hoppin JA, Sandler DP, Lubin JH, Burdette LA, Yuenger J, Yeager M, Beane Freeman LE, Alavanja MC. The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk. J Cancer Epidemiol. 2012;2012:358076. doi: 10.1155/2012/358076. Epub 2012 Aug 02. PMID: 22919386; PMCID: PMC3419400.
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J Cancer Epidemiol. 2012;2012:358076. doi: 10.1155/2012/358076. Epub 2012 Aug 02.

The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk.

Journal of cancer epidemiology

Gabriella Andreotti, Stella Koutros, Sonja I Berndt, Kathryn Hughes Barry, Lifang Hou, Jane A Hoppin, Dale P Sandler, Jay H Lubin, Laurie A Burdette, Jeffrey Yuenger, Meredith Yeager, Laura E Beane Freeman, Michael C R Alavanja

Affiliations

  1. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20892-7240, USA.

PMID: 22919386 PMCID: PMC3419400 DOI: 10.1155/2012/358076

Abstract

Background. Lipid metabolism processes have been implicated in prostate carcinogenesis. Since several pesticides are lipophilic or are metabolized via lipid-related mechanisms, they may interact with variants of genes in the lipid metabolism pathway. Methods. In a nested case-control study of 776 cases and 1444 controls from the Agricultural Health Study (AHS), a prospective cohort study of pesticide applicators, we examined the interactions between 39 pesticides (none, low, and high exposure) and 220 single nucleotide polymorphisms (SNPs) in 59 genes. The false discovery rate (FDR) was used to account for multiple comparisons. Results. We found 17 interactions that displayed a significant monotonic increase in prostate cancer risk with pesticide exposure in one genotype and no significant association in the other genotype. The most noteworthy association was for ALOXE3 rs3027208 and terbufos, such that men carrying the T allele who were low users had an OR of 1.86 (95% CI = 1.16-2.99) and high users an OR of 2.00 (95% CI = 1.28-3.15) compared to those with no use of terbufos, while men carrying the CC genotype did not exhibit a significant association. Conclusion. Genetic variation in lipid metabolism genes may modify pesticide associations with prostate cancer; however our results require replication.

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