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Epigenome wide association study of SNP–CpG?interactions on changes in triglyceride levels after pharmaceutical intervention: a GAW20 analysis

机译:SNP–CpG?相互作用对药物干预后甘油三酸酯水平变化的表观基因组广泛关联研究:GAW20分析

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In the search for an understanding of how genetic variation contributes to the heritability of common human disease, the potential role of epigenetic factors, such as methylation, is being explored with increasing frequency. Although standard analyses test for associations between methylation levels at individual cytosine-phosphate-guanine (CpG) sites and phenotypes of interest, some investigators have begun testing for methylation and how methylation may modulate the effects of genetic polymorphisms on phenotypes. In our analysis, we used both a genome-wide and candidate gene approach to investigate potential single-nucleotide polymorphism (SNP)–CpG interactions on changes in triglyceride levels. Although we were able to identify numerous loci of interest when using an exploratory significance threshold, we did not identify any significant interactions using a strict genome-wide significance threshold. We were also able to identify numerous loci using the candidate gene approach, in which we focused on 18 genes with prior evidence of association of triglyceride levels. In particular, we identified GALNT2 loci as containing potential CpG sites that moderate the impact of genetic polymorphisms on triglyceride levels. Further work is needed to provide clear guidance on analytic strategies for testing SNP–CpG interactions, although leveraging prior biological understanding may be needed to improve statistical power in data sets with smaller sample sizes.
机译:在寻求了解遗传变异如何影响人类常见遗传力的过程中,越来越多地探索表观遗传因素(如甲基化)的潜在作用。尽管标准分析测试了单个胞嘧啶-磷酸-鸟嘌呤(CpG)位点的甲基化水平与目标表型之间的关联,但一些研究者已开始测试甲基化以及甲基化如何调节遗传多态性对表型的影响。在我们的分析中,我们同时使用了全基因组和候选基因方法来研究甘油三酯水平变化时潜在的单核苷酸多态性(SNP)-CpG相互作用。尽管在使用探索性显着性阈值时我们能够鉴定出许多感兴趣的基因座,但在严格的全基因组显着性阈值中我们并未鉴定出任何显着的相互作用。我们还能够使用候选基因方法来鉴定众多基因座,其中我们着眼于18个具有甘油三酸酯水平相关性证据的基因。特别是,我们确定GALNT2基因座含有潜在的CpG位点,该位点可缓和遗传多态性对甘油三酸酯水平的影响。尽管可能需要利用先前的生物学理解来提高样本量较小的数据集的统计能力,但仍需要进一步的工作来为测试SNP-CpG相互作用的分析策略提供明确的指导。

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