Aniruddha Rathod, Jiasong Duan, Hongmei Zhang, John W Holloway, Susan Ewart, S Hasan Arshad, Wilfried Karmaus
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Through analyses of variance, we assessed whether DNA methylation (DNAm) at 5'-C-phosphate-G-3' (CpGs) on the overlapping genes was associated with neighboring single-nucleotide polymorphisms (SNPs) within 1M base pairs (bps) and with low linkage disequilibrium (<i>r</i> <sup>2</sup> <i><</i> 0.2) in the childhood asthma-related genes. In total, 285 genes from genetic studies and 226 genes from epigenetic studies were shown to be associated with asthma risk, of which six overlap. Of the six genes, 79 CpGs and 8229 unique neighboring SNPs (1M bps) were included in methylation quantitative loci (methQTL) assessment analyses. We tested the association of DNAm at each of the 79 CpG sites with its neighboring SNPs. After adjusting for multiple testing by controlling the false discovery rate to 0.05 when testing methQTL for each CpG site, we found statistically significant associations in three genes with their neighboring SNPs and identified 34 unique methQTLs. The rather limited overlap in genes between genetic and epigenetic studies on asthma and the absence of methQTL in some of the overlapping genes highlight a need to jointly, rather than independently, examine genetic and epigenetic effects on asthma risk to improve our understanding of the underlying mechanisms of asthma.</p>","PeriodicalId":41996,"journal":{"name":"Epigenetics Insights","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2020-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/2516865720923395","citationCount":"8","resultStr":"{\"title\":\"Interweaving Between Genetic and Epigenetic Studies on Childhood Asthma.\",\"authors\":\"Aniruddha Rathod, Jiasong Duan, Hongmei Zhang, John W Holloway, Susan Ewart, S Hasan Arshad, Wilfried Karmaus\",\"doi\":\"10.1177/2516865720923395\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The cause and underlying mechanisms that contribute to asthma pathogenesis are not well known. 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引用次数: 8
摘要
导致哮喘发病的原因和潜在机制尚不清楚。全基因组和全表观基因组关联研究已经确定了与哮喘风险相关的基因。目前尚不清楚在这两种类型的研究中发现的基因在多大程度上重叠。基于现有文献和DisGeNET数据库,我们提取了在儿童哮喘遗传和表观遗传研究中发现的重叠基因。通过方差分析,我们评估了重叠基因上5'- c -磷酸- g -3' (CpGs)的DNA甲基化(DNAm)是否与相邻的1M碱基对(bps)内的单核苷酸多态性(snp)以及儿童哮喘相关基因的低连锁不平衡(r 2 .2)相关。总的来说,来自遗传研究的285个基因和来自表观遗传研究的226个基因被证明与哮喘风险相关,其中6个重叠。在6个基因中,79个CpGs和8229个独特的相邻snp (1M bps)被纳入甲基化定量位点(methQTL)评估分析。我们测试了79个CpG位点上的dna与其邻近snp的关联。在对每个CpG位点进行methQTL检测时,将错误发现率控制在0.05,对多重检测进行调整后,我们发现3个基因与其相邻snp具有统计学意义的相关性,并鉴定出34个独特的methQTL。哮喘的遗传和表观遗传研究之间的基因重叠相当有限,并且在一些重叠基因中缺乏methQTL,这突出了需要联合而不是独立地研究遗传和表观遗传对哮喘风险的影响,以提高我们对哮喘潜在机制的理解。
Interweaving Between Genetic and Epigenetic Studies on Childhood Asthma.
The cause and underlying mechanisms that contribute to asthma pathogenesis are not well known. Both genome- and epigenome-wide association studies have identified genes associated with asthma risk. It is unknown to what extent genes identified in these two types of studies overlap. Based on existing literature and the DisGeNET database, we extracted overlapping genes identified in genetic and epigenetic studies of childhood asthma. Through analyses of variance, we assessed whether DNA methylation (DNAm) at 5'-C-phosphate-G-3' (CpGs) on the overlapping genes was associated with neighboring single-nucleotide polymorphisms (SNPs) within 1M base pairs (bps) and with low linkage disequilibrium (r2< 0.2) in the childhood asthma-related genes. In total, 285 genes from genetic studies and 226 genes from epigenetic studies were shown to be associated with asthma risk, of which six overlap. Of the six genes, 79 CpGs and 8229 unique neighboring SNPs (1M bps) were included in methylation quantitative loci (methQTL) assessment analyses. We tested the association of DNAm at each of the 79 CpG sites with its neighboring SNPs. After adjusting for multiple testing by controlling the false discovery rate to 0.05 when testing methQTL for each CpG site, we found statistically significant associations in three genes with their neighboring SNPs and identified 34 unique methQTLs. The rather limited overlap in genes between genetic and epigenetic studies on asthma and the absence of methQTL in some of the overlapping genes highlight a need to jointly, rather than independently, examine genetic and epigenetic effects on asthma risk to improve our understanding of the underlying mechanisms of asthma.