Cart (Loading....) | Create Account
Close category search window
 

A SNP and KEGG Based Approach to Mine Risk Pathways Associated with Bipolar Disorder

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Liangcai Zhang ; Coll. of Bioinf. Sci. & Technol., Harbin Med. Univ., Harbin ; Lina Chen ; Yan Zhao ; Liangde Xu
more authors

Complex diseases are generally thought to be under the influence of one more mutated risk genes and jointly genetic and environmental factors, which are thought to be of key importance. And with the accumulation of high-throughput datasets, it plays a more and more important role to interpret the pathogenesis of complex diseases systematically using bioinformatics methods in life science. Many association methods have been developed to identify susceptibility genes assuming a single-gene disease model, referred to as single-locus methods. Pathway based approaches, combined with association methods, consider the joint effects of multiple genes and environmental factors. By analyzing the contribution of genetic factors to complex disease and the environmental factors in the same KEGG pathways, we demonstrated an approach to mine risk pathways associated with the complex disease: A SNP and pathway based association method (SPAM). By quantitating genetic and biological environmental factors properly and integrating these two aspects, we worked out two RS scoring measurements to mine intimate biological pathways, which could demonstrate the pathogenesis of complex disease well from a new perspective. Finally, this method was introduced into bipolar disorder (BD), and it turned out well by literature retrieving. Furthermore, this method will be introduced into other complex diseases to provide additional insights into the pathogenesis better.

Published in:

Natural Computation, 2008. ICNC '08. Fourth International Conference on  (Volume:5 )

Date of Conference:

18-20 Oct. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.