Ethnic, Geographic, and Genetic Differences in Arsenic Metabolism at Low Arsenic Exposure: A Preliminary Analysis in the Multi-Ethnic Study of Atherosclerosis (MESA)

Poojitha Balakrishnan, Miranda R. Jones, Dhananjay Vaidya, Maria Tellez-Plaza, Wendy S. Post, Joel D. Kaufman, Suzette J. Bielinski, Kent Taylor, Kevin Francesconi, Walter Goessler and Ana Navas-Acien
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Poojitha Balakrishnan: Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
Miranda R. Jones: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Dhananjay Vaidya: Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
Maria Tellez-Plaza: Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Wendy S. Post: Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Joel D. Kaufman: Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
Suzette J. Bielinski: Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
Kent Taylor: Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, CA 90502, USA
Kevin Francesconi: Institute of Chemistry, University of Graz, 8010 Graz, Austria
Walter Goessler: Institute of Chemistry, University of Graz, 8010 Graz, Austria
Ana Navas-Acien: Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA

IJERPH, 2018, vol. 15, issue 6, 1-11

Abstract: We investigated the effect of candidate variants in AS3MT (arsenic (III) methyltransferase) with urinary arsenic metabolites and their principal components in a subset of 264 participants in the Multi-Ethnic Study of Atherosclerosis (MESA). Urinary arsenic species, including inorganic arsenic (iAs), monomethylarsonate (MMA), dimethylarsinate (DMA), and arsenobetaine (Ab), were measured using high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICPMS) and corrected for organic sources from seafood consumption by regressing Ab on arsenic species using a validated method. Principal components of arsenic metabolism were also used as independent phenotypes. We conducted linear regression of arsenic traits with allelic dosage of candidate single nucleotide polymorphisms (SNPs) rs12768205 (G > A), rs3740394 (A > G), and rs3740393 (G > C) measured using Illumina MetaboChip. Models were stratified by non-Hispanic white vs. all other race/ethnicity and adjusted for age, sex, arsenic exposure, study site, and population stratification. Consistent with previous studies, rs12768205 showed evidence for strongest association (non-Hispanic white: iAs% −0.14 (P 0.83), MMA% −0.66 (0.49), DMA% 0.81(0.49); other race/ethnicity: 0.13 (0.71), −1.21 (0.09), 1.08 (0.20)). No association, however, passed the strict Bonferroni p -value. This was a novel study among an ethnically diverse population exposed to low arsenic levels.

Keywords: arsenic; methylation; geography; genetic susceptibility; AS3MT; MESA; epidemiology (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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