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.
Department(s)
Mathematics
Document Type
Article
DOI
https://doi.org/10.1186/1753-6561-3-S7-S124
Rights Information
© 2009 the authors; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publication Date
12-15-2009
Recommended Citation
Xu, Hongyan, George Mathew, and Varghese George. "Family-based genome-wide association study for simulated data of Framingham Heart Study." In BMC proceedings, vol. 3, no. 7, pp. 1-4. BioMed Central, 2009.
Journal Title
BMC Proceedings
