ArticleJournal of toxicology and environmental health. Part A2012
Indigenous American ancestry is associated with arsenic methylation efficiency in an admixed population of northwest Mexico.
Article in Journal of toxicology and environmental health. Part A, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Maternal Arsenic Exposure and Gestational Diabetes: A Systematic Review and Meta-Analysis.Nutrients · 2020Pooled it
- Association between urinary arsenic species and vitamin D deficiency: a cross-sectional study in Chinese pregnant women.Frontiers in public health · 2024Article
- Mechanisms Associated with Cognitive and Behavioral Impairment Induced by Arsenic Exposure.Cells · 2023Review
- A framework for assessing the impact of chemical exposures on neurodevelopment in ECHO: Opportunities and challenges.Environmental research · 2020Review
- As3MT and GST Polymorphisms Influencing Arsenic Metabolism in Human Exposure to Drinking Groundwater.International journal of molecular sciences · 2020Article
- Health effects of arsenic exposure in Latin America: An overview of the past eight years of research.The Science of the total environment · 2020Article
- Review
- Arsenic and fasting blood glucose in the context of other drinking water chemicals: a cross-sectional study in Bangladesh.Environmental research · 2019Article
- Biological and behavioral factors modify urinary arsenic metabolic profiles in a U.S. population.Environmental health : a global access science source · 2016Article
- The NIEHS Superfund Research Program: 25 Years of Translational Research for Public Health.Environmental health perspectives · 2015Article
- Genetic ancestry of participants in the National Children's Study.Genome biology · 2014Article
- Heritability and preliminary genome-wide linkage analysis of arsenic metabolites in urine.Environmental health perspectives · 2013Article
- Possible positive selection for an arsenic-protective haplotype in humans.Environmental health perspectives · 2013Article
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Many studies provide evidence relating lower human arsenic (As) methylation efficiency, represented by high percent urinary monomethylarsonic acid (MMA(V)), with several As-induced diseases, possibly due to the fact that MMA(V) serves as a proxy for MMA(III), the most toxic As metabolite. Some epidemiological studies suggested that indigenous Americans (AME) methylate As more efficiently; however, data supporting this have been equivocal. The aim of this study was to characterize the association between AME ancestry and As methylation efficiency using a panel of ancestry informative genetic markers to determine individual ancestry proportions in an admixed population (composed of two or more isolated ancestral populations) of 746 individuals environmentally exposed to As in northwest Mexico. Total urinary As (TAs) mean and range were 170.4 and 2.3-1053.5 μg/L, while percent AME (%AME) mean and range were 72.4 and 23-100. Adjusted (gender, age, AS3MT 7388/M287T haplotypes, body mass index [BMI], and TAs) multiple regression model showed that higher AME ancestry is significantly associated with lower percentage of urinary As excreted as MMA(V) (%uMMA) in this population (p < .01). Data also demonstrated a significant interaction between BMI and gender, indicating negative association between BMI and %uMMA, stronger in women than men (p < .01). Moreover, age and the AS3MT variants 7388 (intronic) and M287T (nonsynonymous) were also significantly associated with As methylation efficiency (p < .01). This study highlights the importance of BMI and indigenous American ancestry in some of the observed variability in As methylation efficiency, underscoring the need to be considered in epidemiology studies, particularly those carried out in admixed populations.
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Registered trials
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