| 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 | 863 | 2013 |
| Rare and low-frequency coding variants alter human adult height E Marouli, M Graff, C Medina-Gomez, KS Lo, AR Wood, TR Kjaer, RS Fine, ... Nature 542 (7640), 186-190, 2017 | 569 | 2017 |
| 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 | 372 | 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 | 343 | 2011 |
| 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 | 300 | 2016 |
| 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 | 297 | 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 | 285 | 2011 |
| Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity V Turcot, Y Lu, HM Highland, C Schurmann, AE Justice, RS Fine, ... Nature genetics 50 (1), 26-41, 2018 | 276 | 2018 |
| Meta-analysis of genome-wide association studies for abdominal aortic aneurysm identifies four new disease-specific risk loci GT Jones, G Tromp, H Kuivaniemi, S Gretarsdottir, AF Baas, B Giusti, ... Circulation research 120 (2), 341-353, 2017 | 150 | 2017 |
| 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, 95-109, 2014 | 150 | 2014 |
| 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 | 126 | 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 | 117 | 2012 |
| Epidemiologic research in an integrated regional medical care system: the Marshfield Epidemiologic Study Area F Destefano, ED Eaker, SK Broste, DL Nordstrom, PL Peissig, ... Journal of clinical epidemiology 49 (6), 643-652, 1996 | 114 | 1996 |
| Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis Interleukin 1 Genetics Consortium The Lancet Diabetes & Endocrinology 3 (4), 243-253, 2015 | 109 | 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 | 107 | 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 | 98 | 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 | 84 | 2015 |
| Machine learning for personalized medicine: predicting primary myocardial infarction from electronic health records JC Weiss, S Natarajan, PL Peissig, CA McCarty, D Page Ai Magazine 33 (4), 33-33, 2012 | 83 | 2012 |
| Identification of four novel loci in asthma in European American and African American populations B Almoguera, L Vazquez, F Mentch, J Connolly, JA Pacheco, ... American journal of respiratory and critical care medicine 195 (4), 456-463, 2017 | 82 | 2017 |
| OCR as a service: an experimental evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym AP Tafti, A Baghaie, M Assefi, HR Arabnia, Z Yu, P Peissig Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las …, 2016 | 82 | 2016 |
Joshua C. DennyCEO, All of Us Research ProgramPotvrđena adresa e-pošte na nih.gov
