The association between global DNA methylation and telomere length in a longitudinal study of boilermakers
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2014/04/01
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Description:The objectives of this study were to determine if global DNA methylation, as reflected in LINE-1 and Alu elements, is associated with telomere length and whether it modifies the rate of telomeric change. A repeated-measures longitudinal study was performed with a panel of 87 boilermaker subjects. The follow-up period was 29 months. LINE-1 and Alu methylation was determined using pyrosequencing. Leukocyte relative telomere length was assessed via real-time qPCR. Linear-mixed models were used to estimate the association between DNA methylation and telomere length. A structural equation model (SEM) was used to explore the hypothesized relationship between DNA methylation, proxies of particulate matter exposure, and telomere length at baseline. There appeared to be a positive association between both LINE-1 and Alu methylation levels, and telomere length. For every incremental increase in LINE-1 methylation, there was a statistically significant 1.0 × 10(-1) (95% CI: 4.6 × 10(-2), 1.5 × 10(-1), P < 0.01) unit increase in relative telomere length, controlling for age at baseline, current and past smoking status, work history, BMI (log kg/m(2) ) and leukocyte differentials. Furthermore, for every incremental increase in Alu methylation, there was a statistically significant 6.2 × 10(-2) (95% CI: 1.0 × 10(-2), 1.1 × 10(-1), P = 0.02) unit increase in relative telomere length. The interaction between LINE-1 methylation and follow-up time was statistically significant with an estimate -9.8 × 10(-3) (95% CI: -1.8 × 10(-2), -1.9 × 10(-3), P = 0.02); suggesting that the rate of telomeric change was modified by the degree of LINE-1 methylation. No statistically significant association was found between the cumulative PM exposure construct, with global DNA methylation and telomere length at baseline. [Description provided by NIOSH]
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ISSN:0741-0395
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Pages in Document:254-264
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Volume:38
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Issue:3
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NIOSHTIC Number:nn:20044568
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Citation:Genet Epidemiol 2014 Apr; 38(3):254-264
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Contact Point Address:Jason Y. Y. Wong, Departments of Epidemiology and Environmental Health, Harvard School of Public Health, Channing Division ofNetwork Medicine, 181 Longwood Avenue, Boston, MA 02115
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Federal Fiscal Year:2014
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Performing Organization:CPWR - The Center for Construction Research and Training, Silver Spring, Maryland
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Peer Reviewed:True
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Start Date:20090901
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Source Full Name:Genetic Epidemiology
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End Date:20240831
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Main Document Checksum:urn:sha-512:c8d520e43983433829eab9d444bd64820c9a21d54d24de57cec5dd207c967114e87a5ab00ad325d6193e3028d7818b8f62047aa071b01b4f4f90bf50e87a8ecb
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