MRC Integrative Epidemiology Unit, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
J Invest Dermatol. 2021 Nov;141(11):2620-2629. doi: 10.1016/j.jid.2021.03.027. Epub 2021 Apr 24.
GWASs for atopic dermatitis have identified 25 reproducible loci. We attempt to prioritize the candidate causal genes at these loci using extensive molecular resources compiled into a bioinformatics pipeline. We identified a list of 103 molecular resources for atopic dermatitis etiology, including expression, protein, and DNA methylation quantitative trait loci datasets in the skin or immune-relevant tissues, which were tested for overlap with GWAS signals. This was combined with functional annotation using regulatory variant prediction and features such as promoter‒enhancer interactions, expression studies, and variant fine mapping. For each gene at each locus, we condensed the evidence into a prioritization score. Across the investigated loci, we detected significant enrichment of genes with adaptive immune regulatory function and epidermal barrier formation among the top-prioritized genes. At eight loci, we were able to prioritize a single candidate gene (IL6R, ADO, PRR5L, IL7R, ETS1, INPP5D, MDM1, TRAF3). In addition, at 6 of the 25 loci, our analysis prioritizes less familiar candidates (SLC22A5, IL2RA, MDM1, DEXI, ADO, STMN3). Our analysis provides support for previously implicated genes at several atopic dermatitis GWAS loci as well as evidence for plausible additional candidates at others, which may represent potential targets for drug discovery.
全基因组关联研究(GWASs)已经确定了 25 个可重复的特定位点。我们试图利用广泛的分子资源,这些资源被汇编成一个生物信息学管道,来优先考虑这些特定位点的候选致病基因。我们确定了一份 103 种与特应性皮炎病因相关的分子资源清单,包括皮肤或免疫相关组织中的表达、蛋白质和 DNA 甲基化数量性状基因座数据集,这些数据集与 GWAS 信号进行了重叠测试。这与使用调节变异预测和功能注释相结合,例如启动子-增强子相互作用、表达研究和变体精细映射。对于每个特定位点的每个基因,我们将证据归结为一个优先级评分。在调查的所有基因座中,我们检测到具有适应性免疫调节功能和表皮屏障形成的基因在优先基因中显著富集。在八个基因座中,我们能够优先考虑单个候选基因(IL6R、ADO、PRR5L、IL7R、ETS1、INPP5D、MDM1、TRAF3)。此外,在 25 个基因座中的 6 个基因座中,我们的分析优先考虑不太熟悉的候选基因(SLC22A5、IL2RA、MDM1、DEXI、ADO、STMN3)。我们的分析为几个特应性皮炎 GWAS 基因座中先前涉及的基因提供了支持,也为其他基因座中可能的其他候选基因提供了证据,这些候选基因可能代表药物发现的潜在靶点。