| Heart disease and stroke statistics 2005 update American Heart Association http://www. americanheart. org/statistics/, 2005 | 8575* | 2005 |
| 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 | 986 | 2013 |
| Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge R Saxena, MF Hivert, C Langenberg, T Tanaka, JS Pankow, ... Nature genetics 42 (2), 142-148, 2010 | 742 | 2010 |
| Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis JS Ried, J Li, XB Zuo, XD Zheng, XY Yin, LD Sun, MA McAleer, ... Nature genetics 47 (12), 1449-1456, 2015 | 590 | 2015 |
| 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 | 413 | 2013 |
| Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair FR Day, KS Ruth, DJ Thompson, KL Lunetta, N Pervjakova, DI Chasman, ... Nature genetics 47 (11), 1294-1303, 2015 | 396 | 2015 |
| 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 | 360 | 2011 |
| NRXN3 Is a Novel Locus for Waist Circumference: A Genome-Wide Association Study from the CHARGE Consortium NL Heard-Costa, MC Zillikens, KL Monda, Å Johansson, TB Harris, M Fu, ... PLoS genetics 5 (6), e1000539, 2009 | 327 | 2009 |
| 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 | 326 | 2012 |
| Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci R Saxena, CC Elbers, Y Guo, I Peter, TR Gaunt, JL Mega, MB Lanktree, ... The American Journal of Human Genetics 90 (3), 410-425, 2012 | 319 | 2012 |
| Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time—using genomic data to individualize treatment protocol SJ Bielinski, JE Olson, J Pathak, RM Weinshilboum, L Wang, KJ Lyke, ... Mayo Clinic Proceedings 89 (1), 25-33, 2014 | 317 | 2014 |
| Atrial fibrillation and death after myocardial infarction: a community study P Jabre, X Jouven, F Adnet, G Thabut, SJ Bielinski, SA Weston, VL Roger Circulation 123 (19), 2094-2100, 2011 | 300 | 2011 |
| 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 | 297 | 2011 |
| Design and anticipated outcomes of the eMERGE‐PGx project: a multicenter pilot for preemptive pharmacogenomics in electronic health record systems LJ Rasmussen‐Torvik, SC Stallings, AS Gordon, B Almoguera, ... Clinical Pharmacology & Therapeutics 96 (4), 482-489, 2014 | 255 | 2014 |
| Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes MCY Ng, D Shriner, BH Chen, J Li, WM Chen, X Guo, J Liu, SJ Bielinski, ... PLoS genetics 10 (8), e1004517, 2014 | 242 | 2014 |
| Electrophysiological and hemodynamic characteristics associated with obesity in patients with atrial fibrillation TM Munger, YX Dong, M Masaki, JK Oh, SV Mankad, BA Borlaug, ... Journal of the American College of Cardiology 60 (9), 851-860, 2012 | 197 | 2012 |
| Association of arrhythmia-related genetic variants with phenotypes documented in electronic medical records SL Van Driest, QS Wells, S Stallings, WS Bush, A Gordon, DA Nickerson, ... Jama 315 (1), 47-57, 2016 | 189 | 2016 |
| An information extraction framework for cohort identification using electronic health records H Liu, SJ Bielinski, S Sohn, S Murphy, KB Wagholikar, SR Jonnalagadda, ... AMIA Summits on Translational Science Proceedings 2013, 149, 2013 | 186 | 2013 |
| Genetic variation among 82 pharmacogenes: the PGRNseq data from the eMERGE network WS Bush, DR Crosslin, A Owusu‐Obeng, J Wallace, B Almoguera, ... Clinical Pharmacology & Therapeutics 100 (2), 160-169, 2016 | 182 | 2016 |
| Preemptive pharmacogenomic testing for precision medicine: a comprehensive analysis of five actionable pharmacogenomic genes using next-generation DNA sequencing and a … Y Ji, JM Skierka, JH Blommel, BE Moore, DL VanCuyk, JK Bruflat, ... The Journal of Molecular Diagnostics 18 (3), 438-445, 2016 | 177 | 2016 |
