Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study - researchr publication related

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Abel N. Kho, M. Geoffrey Hayes, Laura Rasmussen-Torvik, Jennifer A. Pacheco, William K. Thompson, Loren L. Armstrong, Joshua C. Denny, Peggy L. Peissig, Aaron W. Miller, Wei-Qi Wei, Suzette J. Bielinski, Christopher G. Chute, Cynthia L. Leibson, Gail P. Jarvik, David R. Crosslin, Christopher S. Carlson, Katherine M. Newton, Wendy A. Wolf, Rex L. Chisholm, William L. Lowe. Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. JAMIA, 19(2):212-218, 2012. [doi]

The following publications are possibly variants of this publication:

Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial diseaseIftikhar J. Kullo, Jin Fan, Jyotishman Pathak, Guergana K. Savova, Zeenat Ali, Christopher G. Chute. jamia, 17(5):568-574, 2010. [doi]

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