P
Pedro L. Teixeira
Researcher at Vanderbilt University
Publications - 11
Citations - 521
Pedro L. Teixeira is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Genome-wide association study & Odds ratio. The author has an hindex of 8, co-authored 11 publications receiving 404 citations. Previous affiliations of Pedro L. Teixeira include Vanderbilt University Medical Center.
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Journal ArticleDOI
Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.
TL;DR: Multiple EHR components provide a more consistent and higher performance than a single one for the selected phenotypes, and are suggested for future phenotyping design in order to obtain an ideal result.
Journal ArticleDOI
Genetic Risk Prediction of Atrial Fibrillation.
Steven A. Lubitz,Steven A. Lubitz,Xiaoyan Yin,Henry J. Lin,Matthew J. Kolek,Gustav G. Smith,Stella Trompet,Michiel Rienstra,Natalia S. Rost,Pedro L. Teixeira,Peter Almgren,Christopher D. Anderson,Christopher D. Anderson,Lin Y. Chen,Gunnar Engström,Ian Ford,Karen L. Furie,Xiuqing Guo,Martin G. Larson,Kathryn L. Lunetta,Peter W. Macfarlane,Bruce M. Psaty,Bruce M. Psaty,Elsayed Z. Soliman,Nona Sotoodehnia,David J. Stott,Kent D. Taylor,Lu-Chen Weng,Lu-Chen Weng,Jie Yao,Bastiaan Geelhoed,Niek Verweij,Joylene E. Siland,Sekar Kathiresan,Sekar Kathiresan,Carolina Roselli,Dan M. Roden,Pim van der Harst,Dawood Darbar,Dawood Darbar,J. Wouter Jukema,Olle Melander,Jonathan Rosand,Jonathan Rosand,Jerome I. Rotter,Susan R. Heckbert,Susan R. Heckbert,Patrick T. Ellinor,Patrick T. Ellinor,Alvaro Alonso,Emelia J. Benjamin +50 more
TL;DR: Comprehensive AF genetic risk scores were associated with incident AF beyond associations for clinical AF risk factors but offered small improvements in discrimination, and was associated with stroke in age- and sex-adjusted models.
Journal ArticleDOI
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals
Pedro L. Teixeira,Wei-Qi Wei,Robert M. Cronin,Huan Mo,Jacob P. VanHouten,Robert J. Carroll,Eric LaRose,Lisa Bastarache,S. Trent Rosenbloom,Todd L. Edwards,Dan M. Roden,Thomas A. Lasko,Richard A. Dart,Anne M Nikolai,Peggy L. Peissig,Joshua C. Denny +15 more
TL;DR: Phenotyping algorithms applied to electronic health record (EHR) data enable investigators to identify large cohorts for clinical and genomic research and shows that billing codes or blood pressure readings alone yield good hypertension classification performance.
Journal ArticleDOI
Benchmarking ligand-based virtual High-Throughput Screening with the PubChem database.
Mariusz Butkiewicz,Edward W. Lowe,Ralf Mueller,Jeffrey L. Mendenhall,Pedro L. Teixeira,C. David Weaver,Jens Meiler +6 more
TL;DR: This work assembles nine data sets from realistic HTS campaigns representing major families of drug target proteins for benchmarking LB-CADD methods, and builds a new cheminformatics framework BCL::ChemInfo, which is freely available for non-commercial use.
Journal ArticleDOI
A genome-wide association study identifies variants in KCNIP4 associated with ACE inhibitor-induced cough.
Jonathan D. Mosley,Christian M. Shaffer,S L Van Driest,Peter Weeke,Peter Weeke,Quinn S. Wells,Jason H. Karnes,D.R. Velez Edwards,W-Q Wei,Pedro L. Teixeira,Lisa Bastarache,Dana C. Crawford,Rongling Li,Teri A. Manolio,Erwin P. Bottinger,Catherine A. McCarty,James G. Linneman,Murray H. Brilliant,Jennifer A. Pacheco,William K. Thompson,Rex L. Chisholm,Gail P. Jarvik,David R. Crosslin,David Carrell,E. Baldwin,James D. Ralston,Eric B. Larson,Jane Grafton,Aaron Scrol,Hayan Jouni,Iftikhar J. Kullo,Gerard Tromp,Kenneth M. Borthwick,Helena Kuivaniemi,David J. Carey,Marylyn D. Ritchie,Yukiko Bradford,Shefali S. Verma,Christopher G. Chute,Abirami Veluchamy,Moneeza K. Siddiqui,Colin N. A. Palmer,Alex S. F. Doney,Seyed Hamidreza Mahmoudpour,A.H. Maitland-van der Zee,Andrew D. Morris,Joshua C. Denny,Dan M. Roden +47 more
TL;DR: Results indicate that SNPs in KCNIP4 may modulate ACEi-induced cough risk, and identify associations on chromosome 4 in an intron of KCnIP4.