Title: NETWORKING PATHWAYS UNVEILS ASSOCIATION BETWEEN OBESITY AND NON-INSULIN DEPENDENT DIABETES MELLITUS
Abstract: Biocomputing 2008, pp. 255-266 (2007) No AccessNETWORKING PATHWAYS UNVEILS ASSOCIATION BETWEEN OBESITY AND NON-INSULIN DEPENDENT DIABETES MELLITUSHAIYAN HU and XIAOMAN LIHAIYAN HUSchool of Informatics and Center for Computational Biology and Bioinformatics, Indiana University, 410 West 10th street, Suite 5000, Indianapolis, IN 46202, USACorresponding author. and XIAOMAN LIDivision of Biostatistics, Indiana University, 410 West 10th street, Suite 5000, Indianapolis, IN 46202, USACorresponding author.https://doi.org/10.1142/9789812776136_0026Cited by:2 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: Genetic related health problems are often interrelated. Current practices to establish associations between diseases are expensive and rarely can reflect underlying molecular mechanisms. We propose a general framework to associate diseases by networking pathways. By applying our method on association study of non-insulin dependent diabetes mellitus (NIDDM) and obesity, we demonstrate that our method can both identify signature pathways for each disease and establish valid association of two diseases. This work is partially supported by Indiana Genomics Initiative (INGEN), by Showalter Trust award and by R01HG004359 from NHGRI. FiguresReferencesRelatedDetailsCited By 2The Multifunctional Role of Herbal Products in the Management of Diabetes and Obesity: A Comprehensive ReviewMd. Mominur Rahman, Md. Rezaul Islam, Sheikh Shohag, Md. Emon Hossain and Md. Saidur Rahaman et al.6 March 2022 | Molecules, Vol. 27, No. 5Network-based analysis of complex diseasesZ.-P. Liu, Y. Wang, X.-S. Zhang and L. Chen1 Jan 2012 | IET Systems Biology, Vol. 6, No. 1 Biocomputing 2008Metrics History PDF download
Publication Year: 2007
Publication Date: 2007-12-01
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
Access and Citation
Cited By Count: 5
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