Deepak Voora

Dr. Deepak Voora

Center for Applied Genomics & Precision Medicine, Duke University, 2187 CIEMAS, Campus Box 3382, Durham, NC 27708 USA

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 February 2008 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Closed access
PDF file
BGBf Gage
Bf Gage
CEC Eby
C Eby
JJJa Johnson
Ja Johnson
EDE Deych
E Deych
MRMj Rieder
Mj Rieder
HMHL McLeod
HL McLeod

1 October 2009 in JACC
Verified
Journal Article
Closed access
Deepak VooraDeepak Voora
Deepak Voora
SSSvati H. Shah
Svati H. Shah
ISIvan Spasojevic
Ivan Spasojevic
SAShazia Ali
Shazia Ali
CRCarol R. Reed
Carol R. Reed
GGGeoffrey S. Ginsburg
Geoffrey S. Ginsburg

11 March 2022 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Closed access
PDF file
RCRhonda M. Cooper‐DeHoff
Rhonda M. Cooper‐DeHoff
MNMikko Niemi
Mikko Niemi
LRLaura B. Ramsey
Laura B. Ramsey
JLJasmine A. Luzum
Jasmine A. Luzum
ETE. Katriina Tarkiainen
E. Katriina Tarkiainen
Deepak VooraDeepak Voora
Deepak Voora

23 May 2012 in Clinical Pharmacology & Therapeutics
Verified
Journal Article
Open access
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RWR A Wilke
R A Wilke
Laura B. RamseyLaura B. Ramsey
Laura B. Ramsey
SJS G Johnson
S G Johnson
WMW D Maxwell
W D Maxwell
HMH L McLeod
H L McLeod
MNM Niemi
M Niemi
Cholesterol reduction from statin therapy has been one of the greatest public health successes in modern medicine. Simvastatin is among the most commonly used prescription medications. A non‐synonymous coding single‐nucleotide polymorphism (SNP), rs4149056, in SLCO1B1 markedly increases systemic exposure to simvastatin and the risk of muscle toxicity. This guideline explores the relationship between rs4149056 (c.521T>C, p.V174A) and clinical outcome for all statins. The strength of the evidence is high for myopathy with simvastatin. We limit our recommendations accordingly. Clinical Pharmacology & Therapeutics (2012); 92 1, 112–117. doi:10.1038/clpt.2012.57

18 September 2013 in Science Translational Medicine
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AZAimee K. Zaas
Aimee K. Zaas
TBThomas Burke
Thomas Burke
MCMinhua Chen
Minhua Chen
MMMicah McClain
Micah McClain
BNBradly Nicholson
Bradly Nicholson
GGGeoffrey S. Ginsburg
Geoffrey S. Ginsburg
Improved ways to diagnose acute respiratory viral infections could decrease inappropriate antibacterial use and serve as a vital triage mechanism in the event of a potential viral pandemic. Measurement of the host response to infection is an alternative to pathogen-based diagnostic testing and may improve diagnostic accuracy. We have developed a host-based assay with a reverse transcription polymerase chain reaction (RT-PCR) TaqMan low-density array (TLDA) platform for classifying respiratory viral infection. We developed the assay using two cohorts experimentally infected with influenza A H3N2/Wisconsin or influenza A H1N1/Brisbane, and validated the assay in a sample of adults presenting to the emergency department with fever (n = 102) and in healthy volunteers (n = 41). Peripheral blood RNA samples were obtained from individuals who underwent experimental viral challenge or who presented to the emergency department and had microbiologically proven viral respiratory infection or systemic bacterial infection. The selected gene set on the RT-PCR TLDA assay classified participants with experimentally induced influenza H3N2 and H1N1 infection with 100 and 87% accuracy, respectively. We validated this host gene expression signature in a cohort of 102 individuals arriving at the emergency department. The sensitivity of the RT-PCR test was 89% [95% confidence interval (CI), 72 to 98%], and the specificity was 94% (95% CI, 86 to 99%). These results show that RT-PCR–based detection of a host gene expression signature can classify individuals with respiratory viral infection and sets the stage for prospective evaluation of this diagnostic approach in a clinical setting.

1 January 2005 in Thrombosis and Haemostasis
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Journal Article
Closed access
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Deepak VooraDeepak Voora
Deepak Voora
CECharles Eby
Charles Eby
MLMark W. Linder
Mark W. Linder
PMPaul E. Milligan
Paul E. Milligan
BBBonny L. Bukaveckas
Bonny L. Bukaveckas
BGBrian Gage
Brian Gage
Cytochrome P-450 2C9 (CYP2C9) polymorphisms (CYP2C9*2 and CYP2C9*3) reduce the clearance of warfarin, increase the risk of bleeding, and prolong the time to stable dosing. Whether prospective use of a retrospectively developed algorithm that incorporates CYP2C9 genotype and nongenetic factors can ameliorate the propensity to bleeding and delay in achieving a stable warfarin dose is unknown. We initiated warfarin therapy in 48 orthopedic patients tailored to the following variables: CYP2C9 genotype, age, weight, height, gender, race, and use of simvastatin or amiodarone. By using pharmacogenetics-based dosing, patients with a CYP2C9 variant achieved a stable, therapeutic warfarin dose without excessive delay. However compared to those without a CYP2C9 variant, patients with a variant continued to be at increased risk (hazard ratio 3.6, 95% confidence interval 1.4–9.5, p = 0.01) for an adverse outcome (principally INR > 4), despite pharmacogenetics-based dosing. There was a linear relationship (R2 = 0.42, p < 0.001) between the pharmacogenetics-predicted warfarin doses and the warfarin maintenance doses, prospectively validating the dosing algorithm. Prospective, perioperative pharmacogenetics-based dosing of warfarin is feasible; however, further evaluation in a randomized, controlled study is recommended.