Wang Zhenzhen, Liu Tingting, Li Wenchao, Yu Gongqi, Mi Zihao, Wang Chuan, Liao Xiaojie, Huai Pengcheng, Chu Tongsheng, Liu Dianchang, Sun Lele, Fu Xi'an, Sun Yonghu, Wang Honglei, Wang Na, Liu Jianjun, Liu Hong, Zhang Furen
Department of Biostatistics School of Public Health Cheeloo College of Medicine Shandong University Jinan Shandong China.
Shandong Provincial Key Lab for Dermatovenereology, Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venereology, Shandong First Medical University & Shandong Academy of Medical Sciences Jinan Shandong China.
MedComm (2020). 2023 Nov 24;4(6):e415. doi: 10.1002/mco2.415. eCollection 2023 Dec.
To date, genome-wide association studies (GWASs) have discovered 35 susceptible loci of leprosy; however, the cumulative effects of these loci can only partially explain the overall risk of leprosy, and the causal variants and genes within these loci remain unknown. Here, we conducted out new GWASs in two independent cohorts of 5007 cases and 4579 controls and then a meta-analysis in these newly generated and multiple previously published (2277 cases and 3159 controls) datasets were performed. Three novel and 15 previously reported risk loci were identified from these datasets, increasing the known leprosy risk loci of explained genetic heritability from 23.0 to 38.5%. A comprehensive fine-mapping analysis was conducted, and 19 causal variants and 14 causal genes were identified. Specifically, manual checking of epigenomic information from the Epimap database revealed that the causal variants were mainly located within the immune-relevant or immune-specific regulatory elements. Furthermore, by using gene-set, tissue, and cell-type enrichment analyses, we highlighted the key roles of immune-related tissues and cells and implicated the PD-1 signaling pathways in the pathogenetic mechanism of leprosy. Collectively, our study identified candidate causal variants and elucidated the potential regulatory and coding mechanisms for genes associated with leprosy.
迄今为止,全基因组关联研究(GWAS)已发现35个麻风病易感基因座;然而,这些基因座的累积效应只能部分解释麻风病的总体风险,并且这些基因座内的因果变异和基因仍然未知。在此,我们在两个分别包含5007例病例和4579例对照的独立队列中开展了新的GWAS,然后对这些新生成的数据集以及多个先前发表的数据集(2277例病例和3159例对照)进行了荟萃分析。从这些数据集中鉴定出3个新的和15个先前报道的风险基因座,将已解释遗传力的已知麻风病风险基因座从23.0%提高到38.5%。进行了全面的精细定位分析,鉴定出19个因果变异和14个因果基因。具体而言,手动检查来自Epimap数据库的表观基因组信息发现,因果变异主要位于免疫相关或免疫特异性调控元件内。此外,通过使用基因集、组织和细胞类型富集分析,我们突出了免疫相关组织和细胞的关键作用,并表明PD-1信号通路参与麻风病的发病机制。总体而言,我们的研究鉴定了候选因果变异,并阐明了与麻风病相关基因的潜在调控和编码机制。