title: Indigenous American ancestry is associated with arsenic methylation efficiency in an admixed population of northwest Mexico.
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.
authors: Department of Pharmacology and Toxicology, University of Arizona, Tucson, Arizona, USA.
authors: Paulina
authors: P
authors: Gomez-Rubio
authors: Yann C
authors: YC
authors: Klimentidis
authors: Ernesto
authors: E
authors: Cantu-Soto
authors: Maria M
authors: MM
authors: Meza-Montenegro
authors: Dean
authors: D
authors: Billheimer
authors: Zhenqiang
authors: Z
authors: Lu
authors: Zhao
authors: Z
authors: Chen
authors: Walter T
authors: WT
authors: Klimecki
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001151:Arsenic / Q000378:metabolism* / Q000633:toxicity* / Q000652:urine; D020261:Arsenic Poisoning / Q000150:complications / Q000453:epidemiology*; D001152:Arsenicals / Q000378:metabolism / Q000652:urine; D015992:Body Mass Index; D005260:Female; D006239:Haplotypes; D006801:Humans; D008297:Male; D008745:Methylation; D017058:Mexican Americans; D008800:Mexico / Q000453:epidemiology; D008875:Middle Aged; D014874:Water Pollutants, Chemical / Q000378:metabolism / Q000633:toxicity* / Q000652:urine; D055815:Young Adult
chemical_list: D001152:Arsenicals; D014874:Water Pollutants, Chemical; C020300:monomethylarsonic acid; D001151:Arsenic