Caitrin W McDonough
· Assistant ProfessorUniversity of Florida · Pharmacotherapy and Translational Research
Active 1999–2026
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About
Dr. Caitrin W McDonough is an assistant professor in the Department of Pharmacotherapy and Translational Research at the University of Florida College of Pharmacy. She holds a B.S. in Biochemistry with a minor in chemistry from the University of Iowa, a Ph.D. in Molecular Medicine and Translational Science from Wake Forest University School of Medicine, and an M.S. in Biomedical Informatics from the University of Florida. Her postdoctoral fellowship was completed at the University of Florida in Cardiovascular Pharmacogenomics under the guidance of Dr. Julie Johnson. Her research focuses on identifying and predicting patients at high risk for cardiovascular disease. She employs multiple methods, including regression modeling and machine learning, to analyze data from various sources such as electronic health records, insurance claims, and ‘omics data. Her work aims to identify factors or signatures associated with adverse cardiovascular outcomes and drug response. Dr. McDonough is involved in NIH-funded projects utilizing data from the All of Us research program to study treatment-resistant hypertension, adverse cardiovascular outcomes after P2Y12 inhibitor treatment, and adverse outcomes with statin therapy. She is also a co-leader of the International Consortium for Antihypertensive Pharmacogenomic Studies, collaborating globally to advance the field of antihypertensive pharmacogenomics.
Research topics
- Medicine
- Internal medicine
- Biology
- Genetics
- Cardiology
- Bioinformatics
- Immunology
Selected publications
Stroke genetics informs drug discovery and risk prediction across ancestries
Nature · 2022 · 586 citations
. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
European Heart Journal · 2021 · 91 citations
AIMS: Inflammation plays an important role in cardiovascular disease (CVD) development. The NOD-like receptor protein-3 (NLRP3) inflammasome contributes to the development of atherosclerosis in animal models. Components of the NLRP3 inflammasome pathway such as interleukin-1β can therapeutically be targeted. Associations of genetically determined inflammasome-mediated systemic inflammation with CVD and mortality in humans are unknown. METHODS AND RESULTS: We explored the association of genetic N…
SIRT1 Gene SNP rs932658 Is Associated With Medication-Related Osteonecrosis of the Jaw
Journal of Bone and Mineral Research · 2020 · 24 citations
> 0.8) with rs7896005. To validate the association between these SNPs and MRONJ, we genotyped these three SNPs on the germline DNA from 104 cancer patients of European ancestry treated with iv BPs (46 cases and 58 controls). Multivariable logistic regression analysis showed the minor alleles of these three SNPs were associated with lower odds for MRONJ. The odds ratios (95% confidence interval) and p values were 0.351 (0.164-0.751; p = 0.007) for rs3758391, 0.351 (0.164-0.751; p = 0.007) for rs9…
Effectiveness of Clopidogrel vs Alternative P2Y12 Inhibitors Based on the ABCD-GENE Score
Journal of the American College of Cardiology · 2024 · 23 citations
Clinical Pharmacology & Therapeutics · 2022 · 23 citations
The Age, Body mass index, Chronic kidney disease, Diabetes mellitus, and CYP2C19 GENEtic variants (ABCD-GENE) score was developed to identify patients at risk for diminished antiplatelet effects with clopidogrel after percutaneous coronary intervention (PCI). The objective of this study was to validate the ability of the ABCD-GENE score to predict the risk for atherothrombotic events in a diverse, real-world population of clopidogrel-treated patients who underwent PCI and received clinical CYP2C…
Recent grants
Hypertension Prediction and Identification in All of Us
NIH · $305k · 2023–2025
INTEGRATIVE DATA APPROACHES FOR RESISTANT HYPERTENSION IDENTIFICATION AND PREDICTION
NIH · $486k · 2018–2022
NIH · $63k · 2006
Frequent coauthors
- 335 shared
Julie A. Johnson
University of North Carolina at Chapel Hill
- 316 shared
Yan Gong
University of Florida
- 270 shared
Rhonda M. Cooper‐DeHoff
University of Florida
- 232 shared
John G. Gums
University of Florida
- 225 shared
Eric Boerwinkle
The University of Texas Health Science Center at Houston
- 213 shared
Stephen T. Turner
Australian Regenerative Medicine Institute
- 166 shared
Amber L. Beitelshees
University of Maryland, Baltimore
- 141 shared
Kent R. Bailey
Mayo Clinic
Education
B.S., Biochemistry (with a minor in chemistry)
University of Iowa
Ph.D., Molecular Medicine and Translational Science
Wake Forest University School of Medicine
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