Systems Pharmacology-Based Approach of Connecting Disease Genes in Genome-Wide Association Studies with Traditional Chinese Medicine
Joint Authors
Tan, Aik Choon
Kim, Jihye
Yoo, Minjae
Shin, Jimin
Kim, Hyunmin
Kang, Jaewoo
Source
International Journal of Genomics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Traditional Chinese medicine (TCM) originated in ancient China has been practiced over thousands of years for treating various symptoms and diseases.
However, the molecular mechanisms of TCM in treating these diseases remain unknown.
In this study, we employ a systems pharmacology-based approach for connecting GWAS diseases with TCM for potential drug repurposing and repositioning.
We studied 102 TCM components and their target genes by analyzing microarray gene expression experiments.
We constructed disease-gene networks from 2558 GWAS studies.
We applied a systems pharmacology approach to prioritize disease-target genes.
Using this bioinformatics approach, we analyzed 14,713 GWAS disease-TCM-target gene pairs and identified 115 disease-gene pairs with q value < 0.2.
We validated several of these GWAS disease-TCM-target gene pairs with literature evidence, demonstrating that this computational approach could reveal novel indications for TCM.
We also develop TCM-Disease web application to facilitate the traditional Chinese medicine drug repurposing efforts.
Systems pharmacology is a promising approach for connecting GWAS diseases with TCM for potential drug repurposing and repositioning.
The computational approaches described in this study could be easily expandable to other disease-gene network analysis.
American Psychological Association (APA)
Kim, Jihye& Yoo, Minjae& Shin, Jimin& Kim, Hyunmin& Kang, Jaewoo& Tan, Aik Choon. 2018. Systems Pharmacology-Based Approach of Connecting Disease Genes in Genome-Wide Association Studies with Traditional Chinese Medicine. International Journal of Genomics،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1172852
Modern Language Association (MLA)
Kim, Jihye…[et al.]. Systems Pharmacology-Based Approach of Connecting Disease Genes in Genome-Wide Association Studies with Traditional Chinese Medicine. International Journal of Genomics No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1172852
American Medical Association (AMA)
Kim, Jihye& Yoo, Minjae& Shin, Jimin& Kim, Hyunmin& Kang, Jaewoo& Tan, Aik Choon. Systems Pharmacology-Based Approach of Connecting Disease Genes in Genome-Wide Association Studies with Traditional Chinese Medicine. International Journal of Genomics. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1172852
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172852