Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX 75390-8884, USA.
Hum Mol Genet. 2010 Feb 15;19(4):707-19. doi: 10.1093/hmg/ddp521. Epub 2009 Nov 18.
We describe a novel approach to genetic association analyses with proteins sub-divided into biologically relevant smaller sequence features (SFs), and their variant types (VTs). SFVT analyses are particularly informative for study of highly polymorphic proteins such as the human leukocyte antigen (HLA), given the nature of its genetic variation: the high level of polymorphism, the pattern of amino acid variability, and that most HLA variation occurs at functionally important sites, as well as its known role in organ transplant rejection, autoimmune disease development and response to infection. Further, combinations of variable amino acid sites shared by several HLA alleles (shared epitopes) are most likely better descriptors of the actual causative genetic variants. In a cohort of systemic sclerosis patients/controls, SFVT analysis shows that a combination of SFs implicating specific amino acid residues in peptide binding pockets 4 and 7 of HLA-DRB1 explains much of the molecular determinant of risk.
我们描述了一种新的方法来进行蛋白质的遗传关联分析,将蛋白质细分为具有生物学相关性的较小序列特征(SFs)及其变体类型(VTs)。SFVT 分析对于研究高度多态性的蛋白质非常有意义,如人类白细胞抗原(HLA),因为其遗传变异的性质:高度多态性、氨基酸变异性模式,以及大多数 HLA 变异发生在功能重要的位点,以及其在器官移植排斥、自身免疫性疾病发展和对感染的反应中的已知作用。此外,几个 HLA 等位基因(共同表位)共享的可变氨基酸位点的组合更可能是实际致病遗传变异的更好描述符。在一组系统性硬化症患者/对照中,SFVT 分析表明,涉及 HLA-DRB1 肽结合口袋 4 和 7 中特定氨基酸残基的 SFs 的组合解释了风险的大部分分子决定因素。