Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, 94158, USA.
Department of Anatomy and Cell Biology, Brody School of Medicine, East Carolina University, Greenville, NC, 27834, USA.
Commun Biol. 2023 Mar 30;6(1):342. doi: 10.1038/s42003-023-04713-5.
Genome-wide association studies (GWAS) successfully identified multiple sclerosis (MS) susceptibility variants. Despite this notable progress, understanding the biological context of these associations remains challenging, due in part to the complexity of linking GWAS results to causative genes and cell types. Here, we aimed to address this gap by integrating GWAS data with single-cell and bulk chromatin accessibility data and histone modification profiles from immune and nervous systems. MS-GWAS associations are significantly enriched in regulatory regions of microglia and peripheral immune cell subtypes, especially B cells and monocytes. Cell-specific polygenic risk scores were developed to examine the cumulative impact of the susceptibility genes on MS risk and clinical phenotypes, showing significant associations with risk and brain white matter volume. The findings reveal enrichment of GWAS signals in B cell and monocyte/microglial cell-types, consistent with the known pathology and presumed targets of effective MS therapeutics.
全基因组关联研究(GWAS)成功鉴定了多发性硬化症(MS)的易感变异。尽管取得了这一显著进展,但由于将 GWAS 结果与因果基因和细胞类型联系起来的复杂性,理解这些关联的生物学背景仍然具有挑战性。在这里,我们旨在通过整合 GWAS 数据与免疫和神经系统的单细胞和批量染色质可及性数据以及组蛋白修饰谱来解决这一差距。MS-GWAS 关联在小胶质细胞和外周免疫细胞亚型(尤其是 B 细胞和单核细胞)的调控区域中显著富集。开发了细胞特异性多基因风险评分,以检查易感基因对 MS 风险和临床表型的累积影响,结果显示与风险和大脑白质体积显著相关。这些发现揭示了 GWAS 信号在 B 细胞和单核细胞/小胶质细胞类型中的富集,与已知的病理学和假定的有效 MS 治疗靶点一致。