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      Genome-wide association study of toxic metals and trace elements reveals novel associations

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          Abstract

          The accumulation of toxic metals in the human body is influenced by exposure and mechanisms involved in metabolism, some of which may be under genetic control. This is the first genome-wide association study to investigate variants associated with whole blood levels of a range of toxic metals. Eleven toxic metals and trace elements (aluminium, cadmium, cobalt, copper, chromium, mercury, manganese, molybdenum, nickel, lead and zinc) were assayed in a cohort of 949 individuals using mass spectrometry. DNA samples were genotyped on the Infinium Omni Express bead microarray and imputed up to reference panels from the 1000 Genomes Project. Analyses revealed two regions associated with manganese level at genome-wide significance, mapping to 4q24 and 1q41. The lead single nucleotide polymorphism (SNP) in the 4q24 locus was rs13107325 ( P-value = 5.1 × 10 −11, β = −0.77), located in an exon of SLC39A8, which encodes a protein involved in manganese and zinc transport. The lead SNP in the 1q41 locus is rs1776029 ( P-value = 2.2 × 10 −14, β = −0.46). The SNP lies within the intronic region of SLC30A10, another transporter protein. Among other metals, the loci 6q14.1 and 3q26.32 were associated with cadmium and mercury levels ( P = 1.4 × 10 −10, β = −1.2 and P = 1.8 × 10 −9, β = −1.8, respectively). Whole blood measurements of toxic metals are associated with genetic variants in metal transporter genes and others. This is relevant in inferring metabolic pathways of metals and identifying subsets of individuals who may be more susceptible to metal toxicity.

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          The toxicity of cadmium and resulting hazards for human health

          Cadmium (Cd) has been in industrial use for a long period of time. Its serious toxicity moved into scientific focus during the middle of the last century. In this review, we discuss historic and recent developments of toxicological and epidemiological questions, including exposition sources, resorption pathways and organ damage processes.
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            ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity

            Transcriptional control is dependent on a vast network of epigenetic modifications. One epigenetic mark of particular interest is tri-methylation of lysine 27 on histone H3 (H3K27me3), which is catalysed and maintained by Polycomb Repressive Complex 2 (PRC2). Although this histone mark is studied widely, the precise relationship between its local pattern of enrichment and regulation of gene expression is currently unclear. We have used ChIP-seq to generate genome-wide maps of H3K27me3 enrichment, and have identified three enrichment profiles with distinct regulatory consequences. First, a broad domain of H3K27me3 enrichment across the body of genes corresponds to the canonical view of H3K27me3 as inhibitory to transcription. Second, a peak of enrichment around the transcription start site (TSS) is commonly associated with ‘bivalent’ genes, where H3K4me3 also marks the TSS. Finally and most surprisingly, we identified an enrichment profile with a peak in the promoter of genes that is associated with active transcription. Genes with each of these three profiles were found in different proportions in each of the cell types studied. The data analysis techniques developed here will be useful for the identification of common enrichment profiles for other histone modifications that have important consequences for transcriptional regulation.
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              A comparison of three different methods to evaluate endothelium-dependent vasodilation in the elderly: the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study.

              Three different techniques to evaluate endothelium-dependent vasodilation in the peripheral circulation have been described but not simultaneously tested in a large-scale population-based setting. This study aimed to evaluate the feasibility and usefulness of these techniques in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study. In the population-based PIVUS study (1016 subjects aged 70 years), the invasive forearm technique with acetylcholine given in the brachial artery (EDV), the brachial artery ultrasound technique with measurement of flow-mediated dilatation (FMD), and the pulse wave analysis method with beta-2-agonist (terbutaline) provocation were successfully used in 87%, 97%, and 86% of the sample, respectively. The results of EDV and pulse wave analysis were interrelated (r=0.12, P=0.0013), but no relationships were found with FMD measurements. All 3 techniques were correlated to the Framingham risk score (r=0.10 to 0.12, P=0.0007 to 0.001). In multiple regression analysis, however, only EDV and FMD were independently associated with the Framingham score. All 3 evaluated techniques were feasible to perform in a general elderly population. Both the invasive forearm technique and FMD were independently associated with increased coronary risk, suggesting that information on conduit artery and resistance artery endothelial function carry different, but important, information in the elderly. If the invasive technique cannot be used, the pulse wave based technique is an alternative.
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                Author and article information

                Journal
                Hum Mol Genet
                Hum. Mol. Genet
                hmg
                hmg
                Human Molecular Genetics
                Oxford University Press
                0964-6906
                1460-2083
                15 August 2015
                29 May 2015
                29 May 2015
                : 24
                : 16
                : 4739-4745
                Affiliations
                [1 ]Wellcome Trust Centre for Human Genetics, Oxford OX3 7BN, UK,
                [2 ]Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University , Uppsala SE-751 85, Sweden,
                [3 ]Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory,
                [4 ]Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University , Uppsala, Sweden,
                [5 ]Broad Institute of the Massachusetts Institute of Technology, Harvard University , Cambridge, MA 02142, USA and
                [6 ]Department of Biostatistics, University of Liverpool , Liverpool L69 3BX, UK
                Author notes
                [* ]To whom correspondence should be addressed at: Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK. Tel: +44 7411451777; Fax: +44 01865287501; Email: u0302066@ 123456gmail.com
                Article
                ddv190
                10.1093/hmg/ddv190
                4512629
                26025379
                9e6de8ea-9b1d-44b5-9c41-d328e36155ac
                © The Author 2015. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 November 2014
                : 7 May 2015
                : 19 May 2015
                Categories
                Association Studies Articles

                Genetics
                Genetics

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