NDLI: Identification of genes for complex diseases by integrating multiple types of genomic data

Content Provider	IEEE Xplore Digital Library
Author	Hongbao Cao Shufeng Lei Hong-Wen Deng Yu-Ping Wang
Copyright Year	2012
Description	Author affiliation: Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA (Yu-Ping Wang) \|\| Dept. of Biostat., Tulane Univ., New Orleans, LA, USA (Hong-Wen Deng) \|\| Lab. of Mol. & Stat. Genetics, Hunan Normal Univ., Changsha, China (Shufeng Lei) \|\| Dept. of Biomed. Eng., Tulane Univ., New Orleans, LA, USA (Hongbao Cao)
Abstract	Combining multi-types of genomic data for integrative analyses can take advantage of complementary information and thus can have higher power to identify genes/variables that would otherwise be impossible with individual data analysis. Here we proposed a sparse representation based clustering (SRC) method for integrative data analyses, and applied the SRC method to the integrative analysis of 376821 SNPs in 200 subjects (100 cases and 100 controls) and expression data for 22283 genes in 80 subjects (40 cases and 40 controls) to identify significant genes for osteoporosis (OP). Comparing our results with previous studies, we identified some genes known related to OP risk, as well as some uncovered novel osteoporosis susceptible genes (`DICER1', `PTMA', etc.) that may function importantly in osteoporosis etiology. In addition, the SRC method identified genes can lead to higher accuracy for the identification of osteoporosis subjects when compared with the traditional T-test and Fisher-exact test, which further validate the proposed SRC approach for integrative analysis.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5541
Ending Page	5544
File Size	832523
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347249
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Osteoporosis Gene expression Bioinformatics Genomics Data analysis Accuracy Bones
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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