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Set association analysis of SNP case-control and microarray data

Content Provider	ACM Digital Library
Author	Hoh, Josephine Ott, Jurg
Abstract	Common heritable diseases ("complex traits") are assumed to be due to multiple underlying susceptibility genes. While genetic mapping methods for mendelian disorders have been very successful, the search for genes underlying complex traits has been difficult and often disappointing. One of the reasons may be that most current gene mapping approaches are still based on conventional methodology of testing one or a few SNPs at a time. Here we demonstrate a simple strategy that allows for the joint analysis of multiple disease-associated SNPs in different genomic regions. Our set-association method combines information over SNPs by forming sums of relevant single-marker statistics. This approach successfully addresses the "curse of dimensionality" problem - too many variables should be estimated with a comparatively small number of observations. We also extend our method to microarray expression data, where expression levels for large numbers of genes should be compared between two tissue types. In applications to experimental expression data our approach turned out to be highly efficient.
Starting Page	241
Ending Page	245
Page Count	5
File Format	PDF
ISBN	1581134983
DOI	10.1145/565196.565227
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-04-18
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Association Expression Case control study Microarray
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
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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Title: Powerful SNP Set Analysis for Case-Control Genome Wide Association Studies Running Title: Powerful SNP Set Analysis

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Title: Powerful SNP Set Analysis for Case-Control Genome Wide Association Studies Running Title: Powerful SNP Set Analysis

SNP Set Association Analysis for Familial Data Running Title: SNP Set Analysis for Familial Data

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