Hdl Handle:
http://hdl.handle.net/10675.2/88
Title:
Family-based genome-wide association study for simulated data of Framingham Heart Study.
Authors:
Xu, Hongyan; Mathew, George; George, Varghese
Abstract:
ABSTRACT : Genome-wide association studies (GWAS) have quickly become the norm in dissecting the genetic basis of complex diseases. Family-based association approaches have the advantages of being robust to possible hidden population structure in samples. Most of these methods were developed with limited markers. Their applicability and performance for GWAS need to be examined. In this report, we evaluated the properties of the family-based association method implemented by ASSOC in the S.A.G.E package using the simulated data sets for the Framingham Heart Study, and found that ASSOC is a highly useful tool for GWAS.
Citation:
BMC Proc. 2009 Dec 15; 3(Suppl 7):S124
Issue Date:
18-Dec-2009
URI:
http://hdl.handle.net/10675.2/88
PubMed ID:
20017990
PubMed Central ID:
PMC2795897
Type:
Journal Article
ISSN:
1753-6561
Appears in Collections:
Department of Biostatistics and Epidemiology: Faculty Research and Publications; Department of Biostatistics and Epidemiology: Faculty Research and Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorXu, Hongyanen_US
dc.contributor.authorMathew, Georgeen_US
dc.contributor.authorGeorge, Vargheseen_US
dc.date.accessioned2010-09-24T21:58:59Zen
dc.date.available2010-09-24T21:58:59Zen
dc.date.issued2009-12-18en_US
dc.identifier.citationBMC Proc. 2009 Dec 15; 3(Suppl 7):S124en_US
dc.identifier.issn1753-6561en_US
dc.identifier.pmid20017990en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/88en
dc.description.abstractABSTRACT : Genome-wide association studies (GWAS) have quickly become the norm in dissecting the genetic basis of complex diseases. Family-based association approaches have the advantages of being robust to possible hidden population structure in samples. Most of these methods were developed with limited markers. Their applicability and performance for GWAS need to be examined. In this report, we evaluated the properties of the family-based association method implemented by ASSOC in the S.A.G.E package using the simulated data sets for the Framingham Heart Study, and found that ASSOC is a highly useful tool for GWAS.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.titleFamily-based genome-wide association study for simulated data of Framingham Heart Study.en_US
dc.typeJournal Articleen_US
dc.identifier.pmcidPMC2795897en_US
dc.contributor.corporatenameDepartment of Biostatistics and Epidemiologyen_US

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