Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Song, Gwan Gyu photo

Song, Gwan Gyu
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE