Simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association study of rheumatoid arthritis.

Hdl Handle:
http://hdl.handle.net/10675.2/87
Title:
Simultaneous analysis of all single-nucleotide polymorphisms in genome-wide association study of rheumatoid arthritis.
Authors:
Mathew, George; Xu, Hongyan; George, Varghese
Abstract:
ABSTRACT : The availability of very large number of markers by modern technology makes genome-wide association studies very popular. The usual approach is to test single-nucleotide polymorphisms (SNPs) one at a time for association with disease status. However, it may not be possible to detect marginally significant effects by single-SNP analysis. Simultaneous analysis of SNPs enables detection of even those SNPs with small effect by evaluating the collective impact of several neighboring SNPs. Also, false-positive signals may be weakened by the presence of other neighboring SNPs included in the analysis. We analyzed the North American Rheumatoid Arthritis Consortium data of Genetic Analysis Workshop 16 using HLasso, a new method for simultaneous analysis of SNPs. The simultaneous analysis approach has excellent control of type I error, and many of the previously reported results of single-SNP analyses were confirmed by this approach.
Citation:
BMC Proc. 2009 Dec 15; 3(Suppl 7):S11
Issue Date:
18-Dec-2009
URI:
http://hdl.handle.net/10675.2/87
PubMed ID:
20017974
PubMed Central ID:
PMC2795881
Type:
Journal Article
ISSN:
1753-6561
Appears in Collections:
Department of Biostatistics and Epidemiology: Faculty Research and Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorMathew, Georgeen_US
dc.contributor.authorXu, Hongyanen_US
dc.contributor.authorGeorge, Vargheseen_US
dc.date.accessioned2010-09-24T21:58:58Zen
dc.date.available2010-09-24T21:58:58Zen
dc.date.issued2009-12-18en_US
dc.identifier.citationBMC Proc. 2009 Dec 15; 3(Suppl 7):S11en_US
dc.identifier.issn1753-6561en_US
dc.identifier.pmid20017974en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/87en
dc.description.abstractABSTRACT : The availability of very large number of markers by modern technology makes genome-wide association studies very popular. The usual approach is to test single-nucleotide polymorphisms (SNPs) one at a time for association with disease status. However, it may not be possible to detect marginally significant effects by single-SNP analysis. Simultaneous analysis of SNPs enables detection of even those SNPs with small effect by evaluating the collective impact of several neighboring SNPs. Also, false-positive signals may be weakened by the presence of other neighboring SNPs included in the analysis. We analyzed the North American Rheumatoid Arthritis Consortium data of Genetic Analysis Workshop 16 using HLasso, a new method for simultaneous analysis of SNPs. The simultaneous analysis approach has excellent control of type I error, and many of the previously reported results of single-SNP analyses were confirmed by this approach.en_US
dc.rightsThe PMC Open Access Subset is a relatively small part of the total collection of articles in PMC. Articles in the PMC Open Access Subset are still protected by copyright, but are made available under a Creative Commons or similar license that generally allows more liberal redistribution and reuse than a traditional copyrighted work. Please refer to the license statement in each article for specific terms of use. The license terms are not identical for all articles in this subset.en_US
dc.titleSimultaneous analysis of all single-nucleotide polymorphisms in genome-wide association study of rheumatoid arthritis.en_US
dc.typeJournal Articleen_US
dc.identifier.pmcidPMC2795881en_US
dc.contributor.corporatenameDepartment of Biostatistics and Epidemiologyen_US

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