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Identifying fenofibrate responsive CpG sites

机译:识别非诺贝特反应性CpG位点

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As part of GAW20, we analyzed the familiality and variability of methylation to identify cytosine-phosphate-guanine (CpG) sites responsive to treatment with fenofibrate. Methylation was measured at approximately 450,000 sites in pedigree members, prior to and after 3?weeks of treatment. Initially, we aimed to identify responsive sites by analyzing the pre- and posttreatment methylation changes within individuals, but these data exhibited a confounding treatment/batch effect. We applied an alternative indirect approach by searching for CpG sites whose methylation levels exhibit a genetic response to the drug. We reasoned that these sites would exhibit highly familial and variable methylation levels posttreatment, but not pretreatment. Using a 0.1% threshold, posttreatment sibling correlation (scor) and standard deviation (SD) distributions share 16 outliers, while the corresponding pretreatment distributions share none. Comparing the pre- and posttreatment CpG outliers, 36 (8%) of SD distributions, and 449/450 (nearly 100%) of scor distributions differ. Combined, these results identify methylation sites within the KIAA1804 and ANAPC2 genes. Each gene also has a highly significant methylation quantitative trait locus (meQTL) ( KIAA1804: p.
机译:作为GAW20的一部分,我们分析了甲基化的家族性和变异性,以确定对非诺贝特治疗有反应的胞嘧啶-磷酸-鸟嘌呤(CpG)位点。在治疗3周之前和之后,在系谱成员中大约450,000个部位测量了甲基化。最初,我们旨在通过分析个体内治疗前和治疗后甲基化的变化来识别反应部位,但这些数据显示出混杂的治疗/分批效应。我们通过搜索甲基化水平对药物具有遗传反应的CpG位点,应用了一种替代的间接方法。我们认为这些部位在治疗后会表现出高度的家族性和可变的甲基化水平,而在治疗前则不会。使用0.1%阈值,处理后同级相关性(scor)和标准差(SD)分布共享16个离群值,而相应的预处理分布不共享。比较治疗前后的CpG异常值,SD分布的36(占8%)和scor分布的449/450(接近100%)是不同的。综合起来,这些结果确定了KIAA1804和ANAPC2基因内的甲基化位点。每个基因还具有高度重要的甲基化定量性状基因座(meQTL)(KIAA1804:p。

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