关注
Joshua C. Denny
Joshua C. Denny
CEO, All of Us Research Program
在 nih.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
Genetics of rheumatoid arthritis contributes to biology and drug discovery
Y Okada, D Wu, G Trynka, T Raj, C Terao, K Ikari, Y Kochi, K Ohmura, ...
Nature 506 (7488), 376-381, 2014
24832014
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
20842014
A gene-based association method for mapping traits using reference transcriptome data
ER Gamazon, HE Wheeler, KP Shah, SV Mozaffari, K Aquino-Michaels, ...
Nature genetics 47 (9), 1091-1098, 2015
16102015
PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
JC Denny, MD Ritchie, MA Basford, JM Pulley, L Bastarache, ...
Bioinformatics 26 (9), 1205-1210, 2010
11532010
Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
W Zhou, JB Nielsen, LG Fritsche, R Dey, ME Gabrielsen, BN Wolford, ...
Nature genetics 50 (9), 1335-1341, 2018
10642018
The “All of Us” Research Program
All of Us Research Program Investigators
New England Journal of Medicine 381 (7), 668-676, 2019
10552019
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
9992013
Artificial intelligence, bias and clinical safety
R Challen, J Denny, M Pitt, L Gompels, T Edwards, K Tsaneva-Atanasova
BMJ quality & safety 28 (3), 231-237, 2019
6952019
MedEx: a medication information extraction system for clinical narratives
H Xu, SP Stenner, S Doan, KB Johnson, LR Waitman, JC Denny
Journal of the American Medical Informatics Association 17 (1), 19, 2010
6342010
Multi-ethnic genome-wide association study for atrial fibrillation
C Roselli, MD Chaffin, LC Weng, S Aeschbacher, G Ahlberg, CM Albert, ...
Nature genetics 50 (9), 1225-1233, 2018
6132018
The electronic medical records and genomics (eMERGE) network: past, present, and future
O Gottesman, H Kuivaniemi, G Tromp, WA Faucett, R Li, TA Manolio, ...
Genetics in Medicine 15 (10), 761-771, 2013
5992013
Exome-wide association study of plasma lipids in> 300,000 individuals
DJ Liu, GM Peloso, H Yu, AS Butterworth, X Wang, A Mahajan, ...
Nature genetics 49 (12), 1758-1766, 2017
5392017
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
C Pattaro, A Teumer, M Gorski, AY Chu, M Li, V Mijatovic, M Garnaas, ...
Nature communications 7 (1), 10023, 2016
4862016
Inactivating Mutations in NPC1L1 and Protection from Coronary Heart Disease
Myocardial Infarction Genetics Consortium Investigators
New England Journal of Medicine 371 (22), 2072-2082, 2014
4662014
Data from clinical notes: a perspective on the tension between structure and flexible documentation
ST Rosenbloom, JC Denny, H Xu, N Lorenzi, WW Stead, KB Johnson
Journal of the American Medical Informatics Association 18 (2), 181-186, 2011
4282011
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
4182013
Operational implementation of prospective genotyping for personalized medicine: the design of the Vanderbilt PREDICT project
JM Pulley, JC Denny, JF Peterson, GR Bernard, CL Vnencak-Jones, ...
Clinical Pharmacology & Therapeutics, 2012
4162012
Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease
Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators
New England Journal of Medicine 374 (12), 1134-1144, 2016
4002016
PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study
AF Schmidt, DI Swerdlow, MV Holmes, RS Patel, Z Fairhurst-Hunter, ...
The lancet Diabetes & endocrinology 5 (2), 97-105, 2017
3892017
R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment
RJ Carroll, L Bastarache, JC Denny
Bioinformatics 30 (16), 2375-2376, 2014
3782014
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