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 | 1051 | 2013 |
Quality control procedures for genome‐wide association studies S Turner, LL Armstrong, Y Bradford, CS Carlson, DC Crawford, ... Current protocols in human genetics 68 (1), 1.19. 1-1.19. 18, 2011 | 492 | 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 | 434 | 2013 |
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability JC Kirby, P Speltz, LV Rasmussen, M Basford, O Gottesman, PL Peissig, ... Journal of the American Medical Informatics Association 23 (6), 1046-1052, 2016 | 388 | 2016 |
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 | 367 | 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 | 308 | 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 | 268 | 2014 |
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 | 199 | 2013 |
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 | 149 | 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 | 139 | 2012 |
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 | 124 | 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 | 116 | 2013 |
Provider perspectives on the integration of patient-reported outcomes in an electronic health record R Zhang, ER Burgess, MC Reddy, NE Rothrock, S Bhatt, LV Rasmussen, ... JAMIA open 2 (1), 73-80, 2019 | 100 | 2019 |
Harmonizing clinical sequencing and interpretation for the eMERGE III network H Zouk, E Venner, NJ Lennon, DM Muzny, D Abrams, S Adunyah, ... The American Journal of Human Genetics 105 (3), 588-605, 2019 | 97 | 2019 |
Primary care practices’ abilities and challenges in using electronic health record data for quality improvement DJ Cohen, DA Dorr, K Knierim, CA DuBard, JR Hemler, JD Hall, M Marino, ... Health Affairs 37 (4), 635-643, 2018 | 95 | 2018 |
Stakeholder engagement: a key component of integrating genomic information into electronic health records A Hartzler, CA McCarty, LV Rasmussen, MS Williams, M Brilliant, ... Genetics in Medicine 15 (10), 792-801, 2013 | 94 | 2013 |
CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record BH Shirts, JS Salama, SJ Aronson, WK Chung, SW Gray, LA Hindorff, ... Journal of the American Medical Informatics Association 22 (6), 1231-1242, 2015 | 92 | 2015 |
Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality RL Zuvich, LL Armstrong, SJ Bielinski, Y Bradford, CS Carlson, ... Genetic epidemiology 35 (8), 887-898, 2011 | 91 | 2011 |
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries N Hong, A Wen, DJ Stone, S Tsuji, PR Kingsbury, LV Rasmussen, ... Journal of biomedical informatics 99, 103310, 2019 | 75 | 2019 |
Facilitating phenotype transfer using a common data model G Hripcsak, N Shang, PL Peissig, LV Rasmussen, C Liu, B Benoit, ... Journal of biomedical informatics 96, 103253, 2019 | 70 | 2019 |