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脂质浓度变化与DNA甲基化的CpG位点关联评估

CpG-set association assessment of lipid concentration changes and DNA methylation.

作者信息

Zhao Kaiqiong, Jiang Lai, Klein Kathleen, Greenwood Celia M T, Oualkacha Karim

机构信息

1Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 1020 Pine Avenue West, Montreal, Quebec, H3A 1A2 Canada.

2Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Côte Ste. Catherine, Montreal, Quebec, H3T 1E2 Canada.

出版信息

BMC Proc. 2018 Sep 17;12(Suppl 9):30. doi: 10.1186/s12919-018-0127-8. eCollection 2018.

Abstract

Epigenome association studies that test a large number of methylation sites suffer from stringent multiple-testing corrections. This study's goals were to investigate region-based associations between DNA methylation sites and lipid-level changes in response to the treatment with fenofibrate in the GAW20 data and to investigate whether improvements in power could be obtained by taking into account correlations between DNA methylation at neighboring cytosine-phosphate-guanine (CpG) sites. To this end, we applied both a recently developed block-based data-dimension-reduction approach and a region-based variance-component (VC) linear mixed model to GAW20 data. We compared analyses of unrelated individuals with familial data. The region-based VC approach using unrelated (independent) individuals identified the gene as significantly associated with changes in triglycerides. However, univariate tests of individual CpG sites yielded no valid statistically significant results.

摘要

检测大量甲基化位点的表观基因组关联研究面临严格的多重检验校正问题。本研究的目的是在GAW20数据中调查基于区域的DNA甲基化位点与非诺贝特治疗后血脂水平变化之间的关联,并研究通过考虑相邻胞嘧啶-磷酸-鸟嘌呤(CpG)位点的DNA甲基化之间的相关性是否可以提高检验效能。为此,我们将最近开发的基于数据块的数据降维方法和基于区域的方差成分(VC)线性混合模型应用于GAW20数据。我们比较了对无关个体的分析和家族数据的分析。使用无关(独立)个体的基于区域的VC方法确定该基因与甘油三酯变化显著相关。然而,对单个CpG位点的单变量检验未产生有效的统计学显著结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3bd/6157033/2e7cbfada53b/12919_2018_127_Fig1_HTML.jpg

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