ArticleToxicological sciences : an official journal of the Society of Toxicology2015
Linkage Analysis of Urine Arsenic Species Patterns in the Strong Heart Family Study.
Article in Toxicological sciences : an official journal of the Society of Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Provision of folic acid for reducing arsenic toxicity in arsenic-exposed children and adults.The Cochrane database of systematic reviews · 2021Pooled it
- Inorganic arsenic influences cell apoptosis by regulating the expression of MEG3 gene.Environmental geochemistry and health · 2021Article
- The Human Gut Microbiome's Influence on Arsenic Toxicity.Current pharmacology reports · 2019Article
- A missense variant in FTCD is associated with arsenic metabolism and toxicity phenotypes in Bangladesh.PLoS genetics · 2019Article
- Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS).Environmental health perspectives · 2017Article
- Association Between Variants in Arsenic (+3 Oxidation State) Methyltranserase (AS3MT) and Urinary Metabolites of Inorganic Arsenic: Role of Exposure Level.Toxicological sciences : an official journal of the Society of Toxicology · 2016Article
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Authors and funding
15 authors at 8 institutions in 3 countries.
Funding
Abstract
Arsenic toxicokinetics are important for disease risks in exposed populations, but genetic determinants are not fully understood. We examined urine arsenic species patterns measured by HPLC-ICPMS among 2189 Strong Heart Study participants 18 years of age and older with data on ~400 genome-wide microsatellite markers spaced ~10 cM and arsenic speciation (683 participants from Arizona, 684 from Oklahoma, and 822 from North and South Dakota). We logit-transformed % arsenic species (% inorganic arsenic, %MMA, and %DMA) and also conducted principal component analyses of the logit % arsenic species. We used inverse-normalized residuals from multivariable-adjusted polygenic heritability analysis for multipoint variance components linkage analysis. We also examined the contribution of polymorphisms in the arsenic metabolism gene AS3MT via conditional linkage analysis. We localized a quantitative trait locus (QTL) on chromosome 10 (LOD 4.12 for %MMA, 4.65 for %DMA, and 4.84 for the first principal component of logit % arsenic species). This peak was partially but not fully explained by measured AS3MT variants. We also localized a QTL for the second principal component of logit % arsenic species on chromosome 5 (LOD 4.21) that was not evident from considering % arsenic species individually. Some other loci were suggestive or significant for 1 geographical area but not overall across all areas, indicating possible locus heterogeneity. This genome-wide linkage scan suggests genetic determinants of arsenic toxicokinetics to be identified by future fine-mapping, and illustrates the utility of principal component analysis as a novel approach that considers % arsenic species jointly.
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