NDLI: Semantic networks for genome-wide CNV associated with AST and ALT in Korean cohorts

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Semantic networks for genome-wide CNV associated with AST and ALT in Korean cohorts

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Semantic networks for genome-wide CNV associated with AST and ALT in Korean cohorts

Content Provider	Springer Nature Link
Author	Kim, Hyo Young Park, Jun Hyung Kim, Heebal Kang, Byeong Chul
Copyright Year	2013
Abstract	Copy number variation (CNV) is an emerging approach to study about human health and diseases. Liver-related biochemical tests (aspartate aminotransferase: AST, alanine aminotransferase: ALT) are useful for diagnosing a patient with liver injury. We analyzed a CNV-based GWAS of AST and ALT in 407 Korean. Affymetrix Human 6.0 Array was used to identify CNV, and CNV segmentation was performed using CNV analysis software. Univariate linear regression was used for the GWAS using R package. We identified 64 CNVs associated with AST or ALT, and screened 228 genes located within our CNVs. In this study, we focused on semantic networks about liver disease using knowledge integration software. This semantic networks about liver disease contained entities like gene, disease, pathway, chemical, drug, and contained relationships between two entities like gene-pathway, gene-disease, pathway-chemical, disease-pathway, chemical-drug. Application of semantic networks shown three clusters, including four diseases (hepatocellular carcinoma, liver neoplasm, liver cell adenoma, drug-induced liver injury), one pathway (hepatitis C pathway), and seven drugs (acetaminophen, chlormezanone, stavudine, enflurane, isoniazid, mebendazole, nitisinone).
Starting Page	103
Ending Page	111
Page Count	9
File Format	PDF
ISSN	1738642X
Journal	Molecular & Cellular Toxicology
Volume Number	9
Issue Number	2
e-ISSN	20928467
Language	English
Publisher	Springer Netherlands
Publisher Date	2013-07-18
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Copy number variation Liver Modeling Network Cell Biology Pharmacology/Toxicology
Content Type	Text
Resource Type	Article
Subject	Health, Toxicology and Mutagenesis Public Health, Environmental and Occupational Health Toxicology Pathology and Forensic Medicine

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