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dc.contributor.authorXu, Hongyan
dc.contributor.authorGeorge, Varghese
dc.date.accessioned2012-10-26T20:30:43Zen
dc.date.available2012-10-26T20:30:43Zen
dc.date.issued2011-11-29en_US
dc.identifier.citationBMC Proc. 2011 Nov 29; 5(Suppl 9):S7en_US
dc.identifier.issn1753-6561en_US
dc.identifier.pmid22373566en_US
dc.identifier.doi10.1186/1753-6561-5-S9-S7en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/781en
dc.description.abstractRare genetic variants have been shown to be important to the susceptibility of common human diseases. Methods for detecting association of rare genetic variants are drawing much attention. In this report, we applied a gene-based approach to the 200 simulated data sets of unrelated individuals. The test can detect the association of some genes with multiple rare variants.
dc.rightsCopyright ©2011 Xu and George; licensee BioMed Central Ltd.en_US
dc.subjectProceedingsen_US
dc.titleA gene-based approach for testing association of rare allelesen_US
dc.typeArticleen_US
dc.identifier.pmcidPMC3287909en_US
dc.contributor.corporatenameDepartment of Biostatistics and Epidemiologyen
refterms.dateFOA2019-04-10T00:50:15Z
html.description.abstractRare genetic variants have been shown to be important to the susceptibility of common human diseases. Methods for detecting association of rare genetic variants are drawing much attention. In this report, we applied a gene-based approach to the 200 simulated data sets of unrelated individuals. The test can detect the association of some genes with multiple rare variants.


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