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儿童哮喘遗传与表观遗传学研究的交织

Interweaving Between Genetic and Epigenetic Studies on Childhood Asthma.

作者信息

Rathod Aniruddha, Duan Jiasong, Zhang Hongmei, Holloway John W, Ewart Susan, Arshad S Hasan, Karmaus Wilfried

机构信息

Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, The University of Memphis, Memphis, TN, USA.

Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.

出版信息

Epigenet Insights. 2020 Jul 22;13:2516865720923395. doi: 10.1177/2516865720923395. eCollection 2020.

Abstract

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 (   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.

摘要

导致哮喘发病的原因及潜在机制尚不清楚。全基因组和全表观基因组关联研究均已确定了与哮喘风险相关的基因。目前尚不清楚这两类研究中所确定的基因在多大程度上存在重叠。基于现有文献和DisGeNET数据库,我们提取了在儿童哮喘的遗传和表观遗传研究中确定的重叠基因。通过方差分析,我们评估了重叠基因上5'-C-磷酸-G-3'(CpG)位点的DNA甲基化(DNAm)是否与100万个碱基对(bps)内的相邻单核苷酸多态性(SNP)相关,以及是否与儿童哮喘相关基因中的低连锁不平衡(<0.2)相关。遗传研究中的285个基因和表观遗传研究中的226个基因显示与哮喘风险相关,其中有6个基因重叠。在这6个基因中,79个CpG位点和8229个独特的相邻SNP(100万个bps)被纳入甲基化定量位点(methQTL)评估分析。我们测试了79个CpG位点中每个位点的DNAm与其相邻SNP的关联性。在对每个CpG位点进行methQTL测试时,通过将错误发现率控制在0.05来调整多重检验后,我们发现三个基因与其相邻SNP存在统计学上的显著关联,并确定了34个独特的methQTL。哮喘的遗传和表观遗传研究之间基因重叠相当有限,且一些重叠基因中不存在methQTL,这凸显了需要联合而非独立地研究遗传和表观遗传对哮喘风险的影响,以增进我们对哮喘潜在机制的理解。

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