Qiu Chuan, Shen Hui, Fu Xiaoying, Xu Chao, Deng Hongwen
Department of Global Biostatistics and Data Science, Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, New Orleans 70112, USA.
School of Basic Medical Science, Central South University, Changsha 410013, China.
Int J Genomics. 2018 Aug 7;2018:6407257. doi: 10.1155/2018/6407257. eCollection 2018.
Osteoporosis is a serious public health issue, which is mostly characterized by low bone mineral density (BMD). To search for additional genetic susceptibility loci underlying BMD variation, an effective strategy is to focus on testing of specific variants with high potential of functional effects. Single nucleotide polymorphisms (SNPs) that introduce or disrupt CpG dinucleotides (CpG-SNPs) may alter DNA methylation levels and thus represent strong candidate functional variants. Here, we performed a targeted GWAS for 63,627 potential functional CpG-SNPs that may affect DNA methylation in bone-related cells, in five independent cohorts ( = 5905). By meta-analysis, 9 CpG-SNPs achieved a genome-wide significance level ( < 7.86 × 10) for association with lumbar spine BMD and additional 15 CpG-SNPs showed suggestive significant ( < 5.00 × 10) association, of which 2 novel SNPs and also reached a genome-wide significance level in the joint analysis. Several identified CpG-SNPs were mapped to genes that have not been reported for association with BMD in previous GWAS, such as and genes, highlighting the enhanced power of targeted association analysis for identification of novel associations that were missed by traditional GWAS. Interestingly, several genomic regions, such as and regions, contained multiple significant/suggestive CpG-SNPs for lumbar spine BMD, suggesting that multiple neighboring CpG-SNPs may synergistically mediate the DNA methylation level and gene expression pattern of target genes. Furthermore, functional annotation analyses suggested a strong regulatory potential of the identified BMD-associated CpG-SNPs and a significant enrichment in biological processes associated with protein localization and protein signal transduction. Our results provided novel insights into the genetic basis of BMD variation and highlighted the close connections between genetic and epigenetic mechanisms of complex disease.
骨质疏松症是一个严重的公共卫生问题,其主要特征是骨矿物质密度(BMD)较低。为了寻找BMD变异背后的其他遗传易感位点,一种有效的策略是专注于测试具有高功能效应潜力的特定变异。引入或破坏CpG二核苷酸的单核苷酸多态性(SNP)(CpG-SNP)可能会改变DNA甲基化水平,因此代表强大的候选功能变异。在这里,我们在五个独立队列(n = 5905)中对63,627个可能影响骨相关细胞中DNA甲基化的潜在功能性CpG-SNP进行了靶向全基因组关联研究(GWAS)。通过荟萃分析,9个CpG-SNP与腰椎BMD的关联达到全基因组显著性水平(p < 7.86 × 10⁻⁸),另外15个CpG-SNP显示出提示性显著(p < 5.00 × 10⁻⁷)关联,其中2个新的SNP rs7585878和rs14121294在联合分析中也达到了全基因组显著性水平。几个已鉴定的CpG-SNP被定位到先前GWAS中未报道与BMD相关的基因,如ANKRD30A和ZNF644基因,突出了靶向关联分析在识别传统GWAS遗漏的新关联方面的增强能力。有趣的是,几个基因组区域,如1p36和19q13区域,包含多个与腰椎BMD相关的显著/提示性CpG-SNP,表明多个相邻的CpG-SNP可能协同介导靶基因的DNA甲基化水平和基因表达模式。此外,功能注释分析表明,已鉴定的与BMD相关的CpG-SNP具有强大的调控潜力,并且在与蛋白质定位和蛋白质信号转导相关的生物学过程中显著富集。我们的结果为BMD变异的遗传基础提供了新的见解,并突出了复杂疾病遗传和表观遗传机制之间的密切联系。