| Literature DB >> 28639078 |
Yanan Du1, Yan Wen1, Xiong Guo1, Jingcan Hao1, Wenyu Wang1, Awen He1, Qianrui Fan1, Ping Li1, Li Liu1, Xiao Liang1, Feng Zhang2.
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with strong genetic components. To identity novel risk variants for ALS, utilizing the latest genome-wide association studies (GWAS) and eQTL study data, we conducted a genome-wide expression association analysis by summary data-based Mendelian randomization (SMR) method. Summary data were derived from a large-scale GWAS of ALS, involving 12577 cases and 23475 controls. The eQTL annotation dataset included 923,021 cis-eQTL for 14,329 genes and 4732 trans-eQTL for 2612 genes. Genome-wide single gene expression association analysis was conducted by SMR software. To identify ALS-associated biological pathways, the SMR analysis results were further subjected to gene set enrichment analysis (GSEA). SMR single gene analysis identified one significant and four suggestive genes associated with ALS, including C9ORF72 (P value = 7.08 × 10-6), NT5C3L (P value = 1.33 × 10-5), GGNBP2 (P value = 1.81 × 10-5), ZNHIT3(P value = 2.94 × 10-5), and KIAA1600(P value = 9.97 × 10-5). GSEA identified 7 significant biological pathways, such as PEROXISOME (empirical P value = 0.006), GLYCOLYSIS_GLUCONEOGENESIS (empirical P value = 0.043), and ARACHIDONIC_ACID_ METABOLISM (empirical P value = 0.040). Our study provides novel clues for the genetic mechanism studies of ALS.Entities:
Keywords: Amyotrophic lateral sclerosis; Expression quantitative trait loci; GWAS; SMR
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Year: 2017 PMID: 28639078 DOI: 10.1007/s10571-017-0512-2
Source DB: PubMed Journal: Cell Mol Neurobiol ISSN: 0272-4340 Impact factor: 5.046