|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
|Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins|
I Postmus, S Trompet, HA Deshmukh, MR Barnes, X Li, HR Warren, ...
Nature communications 5, 5068, 2014
|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
|Extracting research-quality phenotypes from electronic health records to support precision medicine|
WQ Wei, JC Denny
Genome Medicine 7 (41), 2015
|Clinical and pharmacogenetic predictors of circulating atorvastatin and rosuvastatin concentrations in routine clinical care|
MK DeGorter, RG Tirona, UI Schwarz, YH Choi, GK Dresser, N Suskin, ...
Circulation: Cardiovascular Genetics 6 (4), 400-408, 2013
|Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance|
JCD Wei-Qi Wei, Pedro L Teixeira, Huan Mo, Robert M Cronin, Jeremy L Warner
Journal of the American Medical Informatics Association, 2015
|CNTRO: a semantic web ontology for temporal relation inferencing in clinical narratives|
C Tao, WQ Wei, HR Solbrig, G Savova, CG Chute
AMIA annual symposium proceedings 2010, 787, 2010
|Phenotype risk scores identify patients with unrecognized Mendelian disease patterns|
L Bastarache, JJ Hughey, S Hebbring, J Marlo, W Zhao, WT Ho, ...
Science 359 (6381), 1233-1239, 2018
|Development and evaluation of an ensemble resource linking medications to their indications|
WQ Wei, RM Cronin, H Xu, TA Lasko, L Bastarache, JC Denny
Journal of the American Medical Informatics Association 20 (5), 954-961, 2013
|Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record|
WQ Wei, LA Bastarache, RJ Carroll, JE Marlo, TJ Osterman, ER Gamazon, ...
PloS one 12 (7), e0175508, 2017
|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
|Trans-ethnic association study of blood pressure determinants in over 750,000 individuals|
A Giri, JN Hellwege, JM Keaton, J Park, C Qiu, HR Warren, ES Torstenson, ...
Nature genetics 51 (1), 51-62, 2019
|IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes|
Y Momozawa, J Dmitrieva, E Théâtre, V Deffontaine, S Rahmouni, ...
Nature communications 9 (1), 2427, 2018
|Time-oriented question answering from clinical narratives using semantic-web techniques|
C Tao, HR Solbrig, DK Sharma, WQ Wei, GK Savova, CG Chute
International Semantic Web Conference, 241-256, 2010
|Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals|
PL Teixeira, WQ Wei, RM Cronin, H Mo, JP VanHouten, RJ Carroll, ...
Journal of the American Medical Informatics Association 24 (1), 162-171, 2017
|LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins|
WQ Wei, X Li, Q Feng, M Kubo, IJ Kullo, PL Peissig, EW Karlson, ...
Circulation 138 (17), 1839-1849, 2018
|Platelet inhibitors reduce rupture in a mouse model of established abdominal aortic aneurysm|
AP Owens III, TL Edwards, S Antoniak, JE Geddings, E Jahangir, WQ Wei, ...
Arteriosclerosis, thrombosis, and vascular biology 35 (9), 2032-2041, 2015
|A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough|
JD Mosley, CM Shaffer, SL Van Driest, PE Weeke, QS Wells, JH Karnes, ...
The pharmacogenomics journal 16 (3), 231-237, 2016
|The absence of longitudinal data limits the accuracy of high-throughput clinical phenotyping for identifying type 2 diabetes mellitus subjects|
WQ Wei, CL Leibson, JE Ransom, AN Kho, CG Chute
International journal of medical informatics 82 (4), 239-247, 2013
|Learning from longitudinal data in electronic health record and genetic data to improve cardiovascular event prediction|
J Zhao, QP Feng, P Wu, RA Lupu, RA Wilke, QS Wells, JC Denny, ...
Scientific reports 9 (1), 1-10, 2019