|Defining the role of common variation in the genomic and biological architecture of adult human height|
AR Wood, T Esko, J Yang, S Vedantam, TH Pers, S Gustafsson, AY Chu, ...
Nature genetics 46 (11), 1173-1186, 2014
|Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data|
JC Denny, L Bastarache, MD Ritchie, RJ Carroll, R Zink, JD Mosley, ...
Nature biotechnology 31 (12), 1102-1111, 2013
|Electronic medical records for genetic research: results of the eMERGE consortium|
AN Kho, JA Pacheco, PL Peissig, L Rasmussen, KM Newton, N Weston, ...
Science translational medicine 3 (79), 79re1-79re1, 2011
|Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network|
KM Newton, PL Peissig, AN Kho, SJ Bielinski, RL Berg, V Choudhary, ...
Journal of the American Medical Informatics Association 20 (e1), e147-e154, 2013
|Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study|
AN Kho, MG Hayes, L Rasmussen-Torvik, JA Pacheco, WK Thompson, ...
Journal of the American Medical Informatics Association 19 (2), 212-218, 2012
|Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: using electronic medical records for genome-and phenome-wide studies|
JC Denny, DC Crawford, MD Ritchie, SJ Bielinski, MA Basford, Y Bradford, ...
The American Journal of Human Genetics 89 (4), 529-542, 2011
|Portability of an algorithm to identify rheumatoid arthritis in electronic health records|
RJ Carroll, WK Thompson, AE Eyler, AM Mandelin, T Cai, RM Zink, ...
Journal of the American Medical Informatics Association 19 (e1), e162-e169, 2012
|Electronic health records-driven phenotyping: challenges, recent advances, and perspectives|
J Pathak, AN Kho, JC Denny
Journal of the American Medical Informatics Association 20 (e2), e206-e211, 2013
|Genome-and phenome-wide analyses of cardiac conduction identifies markers of arrhythmia risk|
MD Ritchie, JC Denny, RL Zuvich, DC Crawford, JS Schildcrout, ...
Circulation 127 (13), 1377-1385, 2013
|Rubik: Knowledge guided tensor factorization and completion for health data analytics|
Y Wang, R Chen, J Ghosh, JC Denny, A Kho, Y Chen, BA Malin, J Sun
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
|A genome-and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects|
K Shameer, JC Denny, K Ding, H Jouni, DR Crosslin, M De Andrade, ...
Human genetics 133 (1), 95-109, 2014
|Genetic variants associated with the white blood cell count in 13,923 subjects in the eMERGE Network|
DR Crosslin, A McDavid, N Weston, SC Nelson, X Zheng, E Hart, ...
Human genetics 131 (4), 639-652, 2012
|Design and implementation of a privacy preserving electronic health record linkage tool in Chicago|
AN Kho, JP Cashy, KL Jackson, AR Pah, S Goel, J Boehnke, ...
Journal of the American Medical Informatics Association 22 (5), 1072-1080, 2015
|Importance of multi-modal approaches to effectively identify cataract cases from electronic health records|
PL Peissig, LV Rasmussen, RL Berg, JG Linneman, CA McCarty, ...
Journal of the American Medical Informatics Association 19 (2), 225-234, 2012
|Desiderata for computable representations of electronic health records-driven phenotype algorithms|
H Mo, WK Thompson, LV Rasmussen, JA Pacheco, G Jiang, R Kiefer, ...
Journal of the American Medical Informatics Association 22 (6), 1220-1230, 2015
|Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms|
M Conway, RL Berg, D Carrell, JC Denny, AN Kho, IJ Kullo, JG Linneman, ...
AMIA annual symposium proceedings 2011, 274, 2011
|Practical challenges in integrating genomic data into the electronic health record|
AN Kho, LV Rasmussen, JJ Connolly, PL Peissig, J Starren, ...
Genetics in Medicine 15 (10), 772-778, 2013
|Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus|
WQ Wei, CL Leibson, JE Ransom, AN Kho, PJ Caraballo, HS Chai, ...
Journal of the American Medical Informatics Association 19 (2), 219-224, 2012
|Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods|
RL Richesson, J Sun, J Pathak, AN Kho, JC Denny
Artificial intelligence in medicine 71, 57-61, 2016
|An effective computerized reminder for contact isolation of patients colonized or infected with resistant organisms|
AN Kho, PR Dexter, JS Warvel, AW Belsito, M Commiskey, SJ Wilson, ...
International journal of medical informatics 77 (3), 194-198, 2008