Genetic Basis of Autoantibody Positive and Negative Rheumatoid Arthritis Risk in a Multi-ethnic Cohort Derived from Electronic Health Records

Discovering and following up on genetic associations with complex phenotypes require large patient cohorts. This is particularly true for patient cohorts of diverse ancestry and clinically relevant subsets of disease. The ability to mine the electronic health records (EHRs) of patients followed as p...

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Bibliographic Details
Main Authors: Kurreeman, Fina (Author), Liao, Katherine P. (Author), Chibnik, Lori B. (Author), Hickey, Brendan (Author), Stahl, Eli (Author), Gainer, Vivian (Author), Li, Gang (Author), Bry, Lynn (Author), Mahan, Scott (Author), Ardlie, Kristin (Author), Thomson, Brian (Author), Szolovits, Peter (Contributor), Churchill, Susanne (Author), Murphy, Shawn N. (Author), Cai, Tianxi (Author), Raychaudhuri, Soumya (Author), Kohane, Isaac (Author), Karlson, Elizabeth W. (Author), Plenge, Robert M. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Elsevier B.V., 2015-03-04T16:59:44Z.
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