Article
Integrating genome-wide association studies and gene expression data highlights dysregulated multiple sclerosis risk pathways.
Multiple sclerosis (Houndmills, Basingstoke, England) - 1 Feb 2017
Liu Guiyou, Zhang Fang, Jiang Yongshuai, Hu Yang, Gong Zhongying, Liu Shoufeng, Chen Xiuju, Jiang Qinghua, Hao Junwei
Abstract excerpt
BACKGROUND: Much effort has been expended on identifying the genetic determinants of multiple sclerosis (MS). Existing large-scale genome-wide association study (GWAS) datasets provide strong support for using pathway and network-based analysis methods to investigate the mechanisms underlying MS. However, no shared genetic pathways have been identified to date. OBJECTIVE: We hypothesize that shared genetic...
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