Abstract/Details

Network-based genome-wide association study of Crohn's disease


2011 2011

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Abstract (summary)

Genome-wide association studies (GWAS) have rapidly become a standard method for disease gene discovery. Many recent GWAS indicate that for most disorders, only a few common variants are implicated and the associated SNPs explain only a small fraction of the genetic risk. The current study incorporated gene network information into gene-based analysis of GWAS data for Crohn's disease (CD). The purpose was to develop statistical models to boost the power of identifying disease-associated genes and gene subnetworks by maximizing the use of existing biological knowledge from multiple sources. The results revealed that Markov random field (MRF) based mixture model incorporating direct neighborhood information from a single gene network is not efficient in identifying CD-related genes based on the GWAS data. The incorporation of solely direct neighborhood information might lead to the low efficiency of these models. Alternative MRF models looking beyond direct neighboring information are necessary to be developed in the future for the purpose of this study.

Indexing (details)


Subject
Biostatistics;
Bioinformatics
Classification
0308: Biostatistics
0715: Bioinformatics
Identifier / keyword
Biological sciences; Crohn's disease; Diffusion kernel; Gene network; Markov random field
Title
Network-based genome-wide association study of Crohn's disease
Author
Wang, Ying
Number of pages
45
Publication year
2011
Degree date
2011
School code
0219
Source
MAI 50/03M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781267015860
Advisor
Wei, Peng
Committee member
Du, Xianglin L.; Moye III, Lemuel A.
University/institution
The University of Texas School of Public Health
Department
Biostatistics
University location
United States -- Texas
Degree
M.S.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
1502172
ProQuest document ID
908355444
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/908355444
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