Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1289/EHP251 |
Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS) | |
Balakrishna, Poojitha1,2,3; Vaidya, Dhananjay2,4; Franceschini, Nora5; Voruganti, V. Saroja6,7; Gribble, Matthew O.8; Haack, Karin9; Laston, Sandra10; Umans, Jason G.11,12; Francesconi, Kevin A.13; Goessler, Walter13; North, Karie E.5; Lee, Elisa14; Yracheta, Joseph15; Best, Lyle G.15; MacCluer, Jean W.9; Kent, Jack, Jr.9; Cole, Shelley A.9; Navas-Acien, Ana1,2,3,16 | |
2017 | |
发表期刊 | ENVIRONMENTAL HEALTH PERSPECTIVES |
ISSN | 0091-6765 |
EISSN | 1552-9924 |
出版年 | 2017 |
卷号 | 125期号:1 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Austria |
英文摘要 | BACKGROUND: Metabolism of inorganic arsenic (iAs) is subject to inter-individual variability, which is explained partly by genetic determinants. OBJECTIVES: We investigated the association of genetic variants with arsenic species and principal components of arsenic species in the Strong Heart Family Study (SHFS). METHODS: We examined variants previously associated with cardiometabolic traits (similar to 200,000 from Illumina Cardio MetaboChip) or arsenic metabolism and toxicity (670) among 2,428 American Indian participants in the SHFS. Urine arsenic species were measured by high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS), and percent arsenic species [iAs, monomethylarsonate (MMA), and dimethylarsinate (DMA), divided by their sum x 100] were logit transformed. We created two orthogonal principal components that summarized iAs, MMA, and DMA and were also phenotypes for genetic analyses. Linear regression was performed for each phenotype, dependent on allele dosage of the variant. Models accounted for familial relatedness and were adjusted for age, sex, total arsenic levels, and population stratification. Single nucleotide polymorphism (SNP) associations were stratified by study site and were meta-analyzed. Bonferroni correction was used to account for multiple testing. RESULTS: Variants at 10q24 were statistically significant for all percent arsenic species and principal components of arsenic species. The index SNP for iAs%, MMA%, and DMA% (rs12768205) and for the principal components (rs3740394, rs3740393) were located near AS3MT, whose gene product catalyzes methylation of iAs to MMA and DMA. Among the candidate arsenic variant associations, functional SNPs in AS3MT and 10q24 were most significant (p < 9.33 x 10(-5)). CONCLUSIONS: This hypothesis-driven association study supports the role of common variants in arsenic metabolism, particularly AS3MT and 10q24. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000392195000003 |
WOS关键词 | SKELETAL-MUSCLE ; CARDIOVASCULAR-DISEASE ; OXIDATIVE STRESS ; LINKAGE ANALYSIS ; WHOLE-BLOOD ; URINE ; EXPOSURE ; POLYMORPHISMS ; HERITABILITY ; METHYLATION |
WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health ; Toxicology |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health ; Toxicology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22956 |
专题 | 资源环境科学 |
作者单位 | 1.Johns Hopkins Univ, Dept Environm Hlth Sci, Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA; 2.Johns Hopkins Univ, Dept Epidemiol, Bloomberg Sch Publ Hlth, Baltimore, MD USA; 3.Johns Hopkins Med Inst, Welch Ctr Prevent Epidemiol & Clin Res, Baltimore, MD 21205 USA; 4.Johns Hopkins Sch Med, Clin & Translat Res, Baltimore, MD USA; 5.Univ North Carolina Chapel Hill, Dept Epidemiol, Chapel Hill, NC USA; 6.Univ North Carolina Chapel Hill, Dept Nutr, Chapel Hill, NC USA; 7.Univ North Carolina Chapel Hill, UNC Nutr Res Inst, Kannapolis, NC USA; 8.Emory Univ, Dept Environm Hlth, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA; 9.Texas Biomed Res Inst, Dept Genet, San Antonio, TX USA; 10.Univ Texas Rio Grande Valley, South Texas Diabet & Obes Inst, Brownsville, TX USA; 11.MedStar Hlth Res Inst, Hyattsville, MD USA; 12.Georgetown & Howard Univ Ctr Clin & Translat Sci, Washington, DC USA; 13.Graz Univ, Inst Chem Analyt Chem, A-8010 Graz, Austria; 14.Univ Oklahoma, Hlth Sci Ctr, Coll Publ Hlth, Ctr Amer Indian Hlth Res, Oklahoma City, OK USA; 15.Missouri Breaks Ind Res Inc, Timber Lake, SD USA; 16.Johns Hopkins Sch Med, Dept Oncol, Baltimore, MD USA |
推荐引用方式 GB/T 7714 | Balakrishna, Poojitha,Vaidya, Dhananjay,Franceschini, Nora,et al. Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS)[J]. ENVIRONMENTAL HEALTH PERSPECTIVES,2017,125(1). |
APA | Balakrishna, Poojitha.,Vaidya, Dhananjay.,Franceschini, Nora.,Voruganti, V. Saroja.,Gribble, Matthew O..,...&Navas-Acien, Ana.(2017).Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS).ENVIRONMENTAL HEALTH PERSPECTIVES,125(1). |
MLA | Balakrishna, Poojitha,et al."Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS)".ENVIRONMENTAL HEALTH PERSPECTIVES 125.1(2017). |
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