BACKGROUND: Single-nucleotide polymorphisms (SNPs) in inflammation, one-carbon metabolism, and skin cancer genes might influence susceptibility to arsenic-induced skin lesions. METHODS: A case-control study was conducted in Pabna, Bangladesh (2001-2003), and the drinking-water arsenic concentration was measured for each participant. A panel of 25 candidate SNPs was analyzed in 540 cases and 400 controls. Logistic regression was used to estimate the association between each SNP and the potential for gene-environment interactions in the skin lesion risk, with adjustments for relevant covariates. Replication testing was conducted in an independent Bangladesh population with 488 cases and 2,794 controls. RESULTS: In the discovery population, genetic variants in the one-carbon metabolism genes phosphatidylethanolamine N-methyltransferase (rs2278952, P for interaction = .004; rs897453, P for interaction = .05) and dihydrofolate reductase (rs1650697, P for interaction = .02), the inflammation gene interleukin 10 (rs3024496, P for interaction =.04), and the skin cancer genes inositol polyphosphate-5-phosphatase (INPP5A; rs1133400, P for interaction = .03) and xeroderma pigmentosum complementation group C (rs2228000, P for interaction = .01) significantly modified the association between arsenic and skin lesions after adjustments for multiple comparisons. The significant gene-environment interaction between a SNP in the INPP5A gene (rs1133400) and water arsenic with respect to the skin lesion risk was successfully replicated in an independent population (P for interaction = .03). CONCLUSIONS: Minor allele carriers of the skin cancer gene INPP5A modified the odds of arsenic-induced skin lesions in both main and replicative populations. Genetic variation in INPP5A appears to have a role in susceptibility to arsenic toxicity.
BACKGROUND: Single-nucleotide polymorphisms (SNPs) in inflammation, one-carbon metabolism, and skin cancer genes might influence susceptibility to arsenic-induced skin lesions. METHODS: A case-control study was conducted in Pabna, Bangladesh (2001-2003), and the drinking-water arsenic concentration was measured for each participant. A panel of 25 candidate SNPs was analyzed in 540 cases and 400 controls. Logistic regression was used to estimate the association between each SNP and the potential for gene-environment interactions in the skin lesion risk, with adjustments for relevant covariates. Replication testing was conducted in an independent Bangladesh population with 488 cases and 2,794 controls. RESULTS: In the discovery population, genetic variants in the one-carbon metabolism genes phosphatidylethanolamine N-methyltransferase (rs2278952, P for interaction = .004; rs897453, P for interaction = .05) and dihydrofolate reductase (rs1650697, P for interaction = .02), the inflammation gene interleukin 10 (rs3024496, P for interaction =.04), and the skin cancer genes inositol polyphosphate-5-phosphatase (INPP5A; rs1133400, P for interaction = .03) and xeroderma pigmentosum complementation group C (rs2228000, P for interaction = .01) significantly modified the association between arsenic and skin lesions after adjustments for multiple comparisons. The significant gene-environment interaction between a SNP in the INPP5A gene (rs1133400) and water arsenic with respect to the skin lesion risk was successfully replicated in an independent population (P for interaction = .03). CONCLUSIONS: Minor allele carriers of the skin cancer gene INPP5A modified the odds of arsenic-induced skin lesions in both main and replicative populations. Genetic variation in INPP5A appears to have a role in susceptibility to arsenic toxicity.
Authors: Yan Ye; Qun Li; Wang Lai Hu; Hsin-Yi Tseng; Lei Jin; Xu Dong Zhang; Lin Jie Zhang; Sen Yang Journal: Transl Oncol Date: 2013-08-01 Impact factor: 4.243
Authors: Jinyao Mo; Yajuan Xia; Timothy J Wade; David M DeMarini; Mercy Davidson; Judy Mumford Journal: Int J Environ Res Public Health Date: 2011-06-08 Impact factor: 3.390
Authors: Wei Jie Seow; Wen-Chi Pan; Molly L Kile; Andrea A Baccarelli; Quazi Quamruzzaman; Mahmuder Rahman; Golam Mahiuddin; Golam Mostofa; Xihong Lin; David C Christiani Journal: Environ Health Perspect Date: 2012-10-10 Impact factor: 9.031
Authors: Megan M Niedzwiecki; Xinhua Liu; Huiping Zhu; Megan N Hall; Vesna Slavkovich; Vesna Ilievski; Diane Levy; Abu B Siddique; Muhammad G Kibriya; Faruque Parvez; Tariqul Islam; Alauddin Ahmed; Ana Navas-Acien; Joseph H Graziano; Richard H Finnell; Habibul Ahsan; Mary V Gamble Journal: Environ Int Date: 2018-02-06 Impact factor: 13.352