Open Journal of Genetics
Vol.3 No.3(2013), Paper ID 36343, 8
pages
DOI:10.4236/ojgen.2013.33024
Integration of expression profiles and endo-phenotypes in genetic association studies: A Bayesian approach to determine the path from gene to disease
Sharon M. Lutz, Sunita Sharma, John E. Hokanson, Scott Weiss, Benjamin Raby, Christoph Lange
Department of Biostatistics, Harvard School of Public Health, Boston, USA
The Channing Division of Network Medicine, Department of Medicine, Bringham and Women’s Hospital, Boston, USA
Department of Epidemiology, University of Colorado at Denver, Aurora, USA
The Channing Division of Network Medicine, Department of Medicine, Bringham and Women’s Hospital, Boston, USA
The Channing Division of Network Medicine, Department of Medicine, Bringham and Women’s Hospital, Boston, USA
Institute for Genomic Mathematics, University of Bonn, Bonn, Germany
Copyright © 2013 Sharon M. Lutz, Sunita Sharma, John E. Hokanson, Scott Weiss, Benjamin Raby, Christoph Lange et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Lutz, S. , Sharma, S. , Hokanson, J. , Weiss, S. , Raby, B. and Lange, C. (2013) Integration of expression profiles and endo-phenotypes in genetic association studies: A Bayesian approach to determine the path from gene to disease.
Open Journal of Genetics,
3, 216-223. doi:
10.4236/ojgen.2013.33024.