Genome-wide pathway analysis in amyotrophic lateral sclerosis
- Authors
- Lee, Y. H.; Song, G. G.
- Issue Date
- 2015
- Publisher
- FUNPEC-EDITORA
- Keywords
- Amyotrophic lateral sclerosis; Pathway-based analysis; Genome-wide association study
- Citation
- GENETICS AND MOLECULAR RESEARCH, v.14, no.2, pp.6429 - 6438
- Indexed
- SCIE
SCOPUS
- Journal Title
- GENETICS AND MOLECULAR RESEARCH
- Volume
- 14
- Number
- 2
- Start Page
- 6429
- End Page
- 6438
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/96121
- DOI
- 10.4238/2015.June.11.19
- ISSN
- 1676-5680
- Abstract
- The aims of this study were to identify candidate single-nucleotide polymorphisms (SNPs) and mechanisms of amyotrophic lateral sclerosis (ALS) and to generate SNP-to-gene-to-pathway hypotheses. An ALS genome-wide association study (GWAS) dataset that included 483,051 SNPs in 276 patients with ALS and 271 controls of European descent was used in this study. Identify Candidate Causal SNPs and Pathway (ICSNPathway) analysis was applied to the GWAS dataset. ICSNPathway analysis identified 19 candidate SNPs, 8 genes, and 9 pathways, which provided 8 hypothetical biological mechanisms. The strongest hypothetical biological mechanism was that rs9352 alters the role of chromatin assembly factor 1 subunit A in the context of the pathways of chromatin and nucleosome assembly (nominal P < 0.001, false discovery rate (FDR) = 0.001, 0.018, respectively). The second strongest was rs1046329. HILS1. chromatin assembly (nominal P < 0.001, FDR = 0.018). The third was rs11100790. SMARCA5. chromatin and nucleosome assembly (nominal P < 0.001, FDR = 0.001, 0.018, respectively). The application of ICSNPathway analysis to the ALS GWAS dataset resulted in the identification of candidate SNPs, pathways, and biological mechanisms that might contribute to ALS susceptibility.
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