Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, 3333 Burnet Avenue, MLC 7037, Cincinnati, OH, 45229-3026, USA.
Department of Computer Science and Engineering, University of Cincinnati, Cincinnati, OH, 45221, USA.
Hum Genet. 2020 Aug;139(8):1037-1053. doi: 10.1007/s00439-020-02151-5. Epub 2020 Apr 2.
Genome-wide association studies (GWAS) have identified hundreds of primarily non-coding disease-susceptibility variants that further need functional interpretation to prioritize and discriminate the disease-relevant variants. We present a comprehensive genome-wide non-coding variant prioritization scheme followed by validation using Pyrosequencing and TaqMan assays in asthma. We implemented a composite Functional Annotation Score (cFAS) to investigate over 32,000 variants consisting of 1525 GWAS-lead asthma-susceptibility variants and their LD proxies (r ≥ 0.80). Functional annotation pipeline in cFAS revealed 274 variants with significant score at 1% false discovery rate. This study implicates a novel locus 4p16 (SLC26A1) with eQTL variant (rs11936407) and known loci in 17q12-21 and 5q22 which encode ORM1-like protein 3 (ORMDL3, rs406527, and rs12936231) and thymic stromal lymphopoietin (TSLP, rs3806932 and rs10073816) epithelial gene, respectively. Follow-up validation analysis through pyrosequencing of CpG sites in and nearby rs4065275 and rs11936407 showed genotype-dependent hypomethylation on asthma cases compared with healthy controls. Prioritized variants are enriched for asthma-specific histone modification associated with active chromatin (H3K4me1 and H3K27ac) in T cells, B cells, lung, and immune-related interferon gamma signaling pathways. Our findings, together with those from prior studies, suggest that SNPs can affect asthma by regulating enhancer activity, and our comprehensive bioinformatics and functional analysis could lead to biological insights into asthma pathogenesis.Graphic abstract.
全基因组关联研究(GWAS)已经确定了数百种主要的非编码疾病易感性变异,这些变异需要进一步进行功能解释,以确定疾病相关的变异并进行优先级排序。我们提出了一种全面的全基因组非编码变异优先级排序方案,并在哮喘中使用焦磷酸测序和 TaqMan 测定法进行了验证。我们实施了综合功能注释评分(cFAS),以研究由 1525 个 GWAS 引发的哮喘易感性变异及其 LD 近交系(r≥0.80)组成的超过 32000 个变异。cFAS 中的功能注释管道揭示了在 1%假发现率下具有显著评分的 274 个变异。这项研究表明,一个新的 4p16 (SLC26A1)位点与 eQTL 变异(rs11936407)和已知的 17q12-21 和 5q22 位点相关,这些位点分别编码 ORM1 样蛋白 3(ORMDL3,rs406527 和 rs12936231)和胸腺基质淋 巴生成素(TSLP,rs3806932 和 rs10073816)上皮基因。通过焦磷酸测序对 rs4065275 和 rs11936407 附近的 CpG 位点进行的后续验证分析表明,与健康对照组相比,哮喘病例的基因型依赖性低甲基化。优先考虑的变异与 T 细胞、B 细胞、肺和免疫相关的干扰素 γ信号通路中的活性染色质(H3K4me1 和 H3K27ac)相关的哮喘特异性组蛋白修饰富集。我们的发现与先前的研究一起表明,SNP 可以通过调节增强子活性来影响哮喘,我们全面的生物信息学和功能分析可以为哮喘发病机制提供生物学见解。