NDLI: Identifying Disease Susceptible DNA Regions Using Underlying Odds Ratio Contour Analysis

Content Provider	IEEE Xplore Digital Library
Author	Prom-on, S. Chan, J. Meechai, A. Jongjaroenprasert, W. Ongphiphadhanakul, B.
Copyright Year	2008
Description	Author affiliation: Pilot Plant Dev. & Training Inst., King Mongkut's Univ. of Technol., Thonburi (Prom-on, S.)
Abstract	Odds ratio plays important roles in identifying and assessing disease susceptible SNPs in the case-control association study. However, the contour of odds ratio has too much variation to identify the disease susceptible DNA region. This paper proposes the odds ratio contour analysis (ORCA), a method for analyzing of odds ratio contour in genome-wide SNP association study. This method smoothes the odds ratio contour and discriminates disease susceptible regions out of the others. We have preliminarily tested ORCA with SNPs data from pooled DNA genome-wide SNP association study of type 2 diabetes mellitus (T2DM), including four pools as cases and five pools as controls. Each DNA pool was assayed on Affymetrix GeneChipreg mapping 10 K Array. With an optimal threshold level, ORCA can effectively highlight disease-associated regions, which reduce the false positive rate that has been one of the major problems in high-throughput case-control association study.
Starting Page	13
Ending Page	16
File Size	310928
Page Count	4
File Format	PDF
ISBN	9780769531915
DOI	10.1109/BIOTECHNO.2008.34
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-29
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistical analysis Genomics odds ratio Chemical technology Biological cells Diseases Biomedical signal analysis DNA association study SNPs Bioinformatics Signal analysis Probes Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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