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    Family-based genome-wide association study for simulated data of Framingham Heart Study.

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    Authors
    Xu, Hongyan
    Mathew, George
    George, Varghese
    Issue Date
    2009-12-18
    URI
    http://hdl.handle.net/10675.2/88
    
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    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
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    Department of Biostatistics and Epidemiology: Faculty Research and Publications
    Department of Biostatistics and Epidemiology: Faculty Research and Publications

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