Seldin Michael F
Department of Biochemistry and Molecular Medicine, University of California, Davis, Tupper Hall Room 4453, Davis, CA 95616, USA; Division of Rheumatology and Allergy, Department of Medicine, University of California, Davis, Tupper Hall Room 4453, Davis, CA 95616, USA.
J Autoimmun. 2015 Nov;64:1-12. doi: 10.1016/j.jaut.2015.08.015. Epub 2015 Sep 4.
Progress in defining the genetics of autoimmune disease has been dramatically enhanced by large scale genetic studies. Genome-wide approaches, examining hundreds or for some diseases thousands of cases and controls, have been implemented using high throughput genotyping and appropriate algorithms to provide a wealth of data over the last decade. These studies have identified hundreds of non-HLA loci as well as further defining HLA variations that predispose to different autoimmune diseases. These studies to identify genetic risk loci are also complemented by progress in gene expression studies including definition of expression quantitative trait loci (eQTL), various alterations in chromatin structure including histone marks, DNase I sensitivity, repressed chromatin regions as well as transcript factor binding sites. Integration of this information can partially explain why particular variations can alter proclivity to autoimmune phenotypes. Despite our incomplete knowledge base with only partial definition of hereditary factors and possible functional connections, this progress has and will continue to facilitate a better understanding of critical pathways and critical changes in immunoregulation. Advances in defining and understanding functional variants potentially can lead to both novel therapeutics and personalized medicine in which therapeutic approaches are chosen based on particular molecular phenotypes and genomic alterations.
大规模基因研究极大地推动了自身免疫性疾病遗传学研究的进展。在过去十年中,通过全基因组方法,利用高通量基因分型和适当的算法,对数百例甚至某些疾病数千例病例和对照进行检测,从而获得了大量数据。这些研究已经确定了数百个非HLA基因座,并进一步明确了与不同自身免疫性疾病相关的HLA变异。这些识别遗传风险基因座的研究,还得到了基因表达研究进展的补充,包括表达数量性状基因座(eQTL)的定义、染色质结构的各种改变,如组蛋白标记、DNase I敏感性、抑制性染色质区域以及转录因子结合位点。整合这些信息可以部分解释为什么特定变异会改变自身免疫表型的倾向。尽管我们的知识库尚不完整,对遗传因素和可能的功能联系仅有部分定义,但这一进展已经并将继续有助于更好地理解免疫调节中的关键途径和关键变化。在定义和理解功能变异方面的进展,有可能带来新型疗法和个性化医疗,即根据特定的分子表型和基因组改变来选择治疗方法。