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Distributional changes in gene-specific methylation associated with temperature

机译：与温度相关的基因特异性甲基化的分布变化

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摘要

Temperature has been related to mean differences in DNA methylation. However, heterogeneity in these associations may exist across the distribution of methylation outcomes. This study examined whether the association between three-week averaged of temperature and methylation differs across quantiles of the methylation distributions in nine candidate genes. We measured gene-specific blood methylation repeatedly in 777 elderly men participating in the Normative Aging Study (1999-2010). We fit quantile regressions for longitudinal data to investigate whether the associations of temperature on methylation (expressed as %5mC) varied across the distribution of the methylation outcomes. We observed heterogeneity in the associations of temperature across percentiles of methylation in F3, TLR-2, CRAT, iNOS, and ICAM-1 genes. For instance, an increase in three-week temperature exposure was associated with a longer left-tail of the F3 methylation distribution. A 5 ℃ increase in temperature was associated with a 0.15%5mC (95% confidence interval (CI): -0.27,-0.04) decrease on the 20th quantile of F3 methylation. but was not significantly related to the 80th quantile of this distribution (Estimate:0.06%5mC, 95%CI:-0.22,0.35). Individuals with low values of F3, TLR-2, CRAT, and iNOS methylation, as well as a high value of ICAM-1 methylation, may be more susceptible to temperature effects on systemic inflammation.
机译：温度与DNA甲基化的平均差异有关。但是，这些关联的异质性可能在甲基化结果的整个分布中都存在。这项研究检查了三周平均温度与甲基化之间的关联性是否在9个候选基因的甲基化分布的分位数之间有所不同。我们在777名参与规范性衰老研究（1999-2010年）的老年男性中反复测量了基因特异性血液甲基化。我们对纵向数据拟合分位数回归，以研究甲基化温度的关联性（表示为％5mC）在甲基化结果的分布范围内是否发生变化。我们观察到温度跨F3，TLR-2，CRAT，iNOS和ICAM-1基因的甲基化百分位数之间温度关联的异质性。例如，三周温度暴露的增加与F3甲基化分布的较长尾巴有关。温度升高5℃与F3甲基化的第20个分位数降低0.15％5mC（95％置信区间（CI）：-0.27，-0.04）有关。但与该分布的第80个分位数没有显着关系（估计：0.06％5mC，95％CI：-0.22,0.35）。 F3，TLR-2，CRAT和iNOS甲基化值较低以及ICAM-1甲基化值较高的个体可能更容易受到温度对全身炎症的影响。

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  • 来源
    《Environmental research》 |2016年第10期|38-46|共9页
  • 作者

    Marie-Abele C. Bind; Brent A. Coull; Andrea Baccarelli; Letizia Tarantini; Laura Cantone; Pantel Vokonas; Joel Schwartz;

  • 作者单位

    Department of Statistics, Faculty of Arts and Science, Harvard University, Cambridge, MA, USA;

    Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA;

    Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA;

    Center of Molecular and Genetic Epidemiology, Department of Clinical Sciences and Community Health, Universita degli Studi di Milano and Fondazione Ca Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy;

    Center of Molecular and Genetic Epidemiology, Department of Clinical Sciences and Community Health, Universita degli Studi di Milano and Fondazione Ca Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy;

    VA Normative Aging Study, VA Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA, USA;

    Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Quantile regression; Temperature; DNA methylation; Susceptibility;

    机译：分位数回归;温度;DNA甲基化;易感性;

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