Bos S D, Berge T, Celius E G, Harbo H F
Institute of Clinical Medicine, University of Oslo, Oslo.
Department of Neurology, Oslo University Hospital, Oslo.
Eur J Neurol. 2016 May;23(5):847-53. doi: 10.1111/ene.12981. Epub 2016 Mar 7.
Genetic screens steadily reveal more loci that show robust associations to complex human diseases, including multiple sclerosis (MS). Although some of the identified genetic variants are easily interpreted into a biological function, most of the genetic associations are frequently challenging to interpret. Underlying these difficulties is the fact that chip-based assays typically detect single nucleotide polymorphisms (SNPs) representative of a stretch of DNA containing many genomic variants in linkage disequilibrium. Furthermore, a large proportion of the SNPs with strongest association to MS are located in regions of the DNA that do not directly code for proteins. Here we discuss challenges faced by MS researchers to follow up the large-scale genetic screens that have been published over the past years in search of functional consequences of the identified MS-associated SNPs. We discuss experimental design, tools and methods that may provide the much-needed biological insights in both disease etiology and disease manifestations.
基因筛查不断揭示出更多与复杂人类疾病(包括多发性硬化症,简称MS)有强关联的基因座。尽管一些已确定的基因变异很容易被解读为具有生物学功能,但大多数基因关联往往难以解释。造成这些困难的根本原因在于,基于芯片的检测通常只能检测到单核苷酸多态性(SNP),这些SNP代表了一段包含许多处于连锁不平衡状态的基因组变异的DNA。此外,与MS关联最强的SNP中有很大一部分位于不直接编码蛋白质的DNA区域。在此,我们讨论MS研究人员在跟进过去几年发表的大规模基因筛查以探寻已确定的与MS相关的SNP的功能后果时所面临的挑战。我们还讨论了可能在疾病病因学和疾病表现方面提供急需的生物学见解的实验设计、工具和方法。