Department of Physiology, Anatomy and Genetics and Medical Research Council Functional Genomics Unit, University of Oxford, South Parks Road, Oxford OX1 3PT, UK.
Hum Mol Genet. 2014 Feb 15;23(4):942-8. doi: 10.1093/hmg/ddt489. Epub 2013 Oct 2.
Genome-wide association studies (GWASs) have shown that approximately 60 genetic variants influence the risk of developing multiple sclerosis (MS). Our aim was to identify the cell types in which these variants are active. We used available data on MS-associated single nucleotide polymorphisms (SNPs) and deoxyribonuclease I hypersensitive sites (DHSs) from 112 different cell types. Genomic intervals were tested for overlap using the Genomic Hyperbrowser. The expression profile of the genes located nearby MS-associated SNPs was assessed using the software GRAIL (Gene Relationships Across Implicated Loci). Genomic regions associated with MS were significantly enriched for a number of immune DHSs and in particular T helper (Th) 1, Th17, CD8+ cytotoxic T cells, CD19+ B cells and CD56+ natural killer (NK) cells (enrichment = 2.34, 2.19, 2.27, 2.05 and 1.95, respectively; P < 0.0001 for all of them). Similar results were obtained when genomic regions with suggestive association with MS and additional immune-mediated traits were investigated. Several new candidate MS-associated genes located within regions of suggestive association were identified by GRAIL (CARD11, FCRL2, CHST12, SYK, TCF7, SOCS1, NFKBIZ and NPAS1). Genetic data indicate that Th1, Th17, cytotoxic T, B and NK cells play a prominent role in the etiology of MS. Regions with confirmed and suggestive association have a similar immunological profile, indicating that many SNPs truly influencing the risk of MS actually fail to reach genome-wide significance. Finally, similar cell types are involved in the etiology of other immune-mediated diseases.
全基因组关联研究(GWAS)表明,大约 60 个遗传变异影响多发性硬化症(MS)的发病风险。我们的目的是确定这些变体在哪些细胞类型中活跃。我们使用了来自 112 种不同细胞类型的与 MS 相关的单核苷酸多态性(SNP)和脱氧核糖核酸酶 I 超敏位点(DHS)的可用数据。使用 Genomic Hyperbrowser 测试基因组间隔是否重叠。使用软件 GRAIL(跨受影响基因座的基因关系)评估位于与 MS 相关 SNP 附近的基因的表达谱。与 MS 相关的基因组区域显著富集了许多免疫 DHS,特别是辅助性 T 细胞(Th)1、Th17、CD8+细胞毒性 T 细胞、CD19+B 细胞和 CD56+自然杀伤(NK)细胞(富集度分别为 2.34、2.19、2.27、2.05 和 1.95;所有富集度 P<0.0001)。当研究与 MS 及其他免疫介导的疾病具有提示性关联的基因组区域时,得到了类似的结果。通过 GRAIL(CARD11、FCRL2、CHST12、SYK、TCF7、SOCS1、NFKBIZ 和 NPAS1),在具有提示性关联的区域中发现了几个新的候选 MS 相关基因。遗传数据表明,Th1、Th17、细胞毒性 T、B 和 NK 细胞在 MS 的发病机制中起重要作用。具有明确和提示性关联的区域具有相似的免疫特征,表明许多真正影响 MS 发病风险的 SNP 实际上未能达到全基因组显著性。最后,类似的细胞类型参与了其他免疫介导疾病的发病机制。