Zhang Ruixue, Cao Lu, Chen Weiwei, Ge Huiyao, Hu Xia, Li Zhuo, Wang Yirui, Fan Wencheng, Yong Liang, Yu Yafen, Mao Yiwen, Zhen Qi, Liu Hong, Zhang Furen, Sun Liangdan
Department of Dermatology, No. 1 Hospital, Anhui Medical University, Hefei, China.
Institute of Dermatology, Anhui Medical University, Hefei, China.
Front Genet. 2021 Dec 16;12:768259. doi: 10.3389/fgene.2021.768259. eCollection 2021.
Leprosy is a chronic infectious skin and neurological disease, and genetic background is considered to be one of the major factors of risk. The major histocompatibility complex (MHC) region not only affects susceptibility to leprosy but also its development and outcome. Given the complex traits of the MHC region, variants and the potential mechanism by which HLA influences leprosy development need to be further explored. We extracted previous genome-wide association study data from the Northern Han Chinese population to perform HLA fine-mapping. Using the 1,000 Genome Project Phase 3 dataset as the reference panel, single-nucleotide polymorphisms (SNP), insertion and deletion (INDEL) and copy number variant (CNV) imputation were carried out. HLA classical alleles and amino acids in the MHC region were imputed using the HAN-MHC database. Further stepwise regression analysis was conducted to analyze independent signals of variants related to leprosy. We identified four independent variants: esv3608598, rs7754498, rs3130781 and rs144388449. Among them, esv3608598 is a CNV and the first HLA CNV associated with leprosy risk. SNP annotation using RegulomeDB, HaploReg, and rVarBase showed that three SNPs are likely to affect the pathogenesis of leprosy. In summary, this is the first study to assess the association between HLA CNV and leprosy susceptibility in a Northern Han Chinese population. By fine mapping of the MHC region in this population, our findings provide evidence for the contribution of HLA to leprosy susceptibility.
麻风病是一种慢性传染性皮肤和神经疾病,遗传背景被认为是主要的风险因素之一。主要组织相容性复合体(MHC)区域不仅影响麻风病的易感性,还影响其发展和结局。鉴于MHC区域的复杂特征,HLA影响麻风病发展的变体和潜在机制需要进一步探索。我们从中国北方汉族人群中提取了先前的全基因组关联研究数据,以进行HLA精细定位。以千人基因组计划第三阶段数据集作为参考面板,进行单核苷酸多态性(SNP)、插入缺失(INDEL)和拷贝数变异(CNV)推算。使用HAN-MHC数据库推算MHC区域中的HLA经典等位基因和氨基酸。进行进一步的逐步回归分析,以分析与麻风病相关的变体的独立信号。我们鉴定出四个独立变体:esv3608598、rs7754498、rs3130781和rs144388449。其中,esv3608598是一个CNV,是首个与麻风病风险相关的HLA CNV。使用RegulomeDB、HaploReg和rVarBase进行的SNP注释表明,三个SNP可能影响麻风病的发病机制。总之,这是第一项评估中国北方汉族人群中HLA CNV与麻风病易感性之间关联的研究。通过对该人群的MHC区域进行精细定位,我们的研究结果为HLA对麻风病易感性的贡献提供了证据。