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HLA 基因分型及其在自身免疫性疾病中 MHC 区域遗传和分子精细定位的应用。

HLA imputation and its application to genetic and molecular fine-mapping of the MHC region in autoimmune diseases.

机构信息

Department of Statistical Genetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Osaka, Suita, 565-0871, Japan.

Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

出版信息

Semin Immunopathol. 2022 Jan;44(1):15-28. doi: 10.1007/s00281-021-00901-9. Epub 2021 Nov 16.

Abstract

Variations of human leukocyte antigen (HLA) genes in the major histocompatibility complex region (MHC) significantly affect the risk of various diseases, especially autoimmune diseases. Fine-mapping of causal variants in this region was challenging due to the difficulty in sequencing and its inapplicability to large cohorts. Thus, HLA imputation, a method to infer HLA types from regional single nucleotide polymorphisms, has been developed and has successfully contributed to MHC fine-mapping of various diseases. Different HLA imputation methods have been developed, each with its own advantages, and recent methods have been improved in terms of accuracy and computational performance. Additionally, advances in HLA reference panels by next-generation sequencing technologies have enabled higher resolution and a more reliable imputation, allowing a finer-grained evaluation of the association between sequence variations and disease risk. Risk-associated variants in the MHC region would affect disease susceptibility through complicated mechanisms including alterations in peripheral responses and central thymic selection of T cells. The cooperation of reliable HLA imputation methods, informative fine-mapping, and experimental validation of the functional significance of MHC variations would be essential for further understanding of the role of the MHC in the immunopathology of autoimmune diseases.

摘要

人类白细胞抗原(HLA)基因在主要组织相容性复合体(MHC)区域的变异显著影响各种疾病的风险,尤其是自身免疫性疾病。由于测序困难且不适用于大样本量,该区域的因果变异精细定位一直具有挑战性。因此,HLA 推断方法应运而生,该方法可以从区域内的单核苷酸多态性推断 HLA 类型,并已成功应用于各种疾病的 MHC 精细定位。已经开发出不同的 HLA 推断方法,每种方法都有其自身的优势,最近的方法在准确性和计算性能方面得到了改进。此外,下一代测序技术的 HLA 参考面板的进步使得分辨率更高,推断更可靠,从而可以更精细地评估序列变异与疾病风险之间的关联。MHC 区域中的风险相关变异可能通过复杂的机制影响疾病易感性,包括外周反应和 T 细胞中枢胸腺选择的改变。可靠的 HLA 推断方法、信息丰富的精细定位以及 MHC 变异功能意义的实验验证的合作,对于进一步理解 MHC 在自身免疫性疾病免疫病理学中的作用至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/585d/8837514/4b5b8d5838d9/281_2021_901_Fig1_HTML.jpg

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