Caitrin W. McDonough
Biochemistry, Genetics and Molecular Biology · The Ohio State University
Publications
151
Citations
6,639
Est. group size
—
Recurring co-author estimate
Active years
28
Publishing since 1999
Caitrin W. McDonough studies how genetic variation and clinical/demographic factors influence drug response and cardiovascular conditions, particularly hypertension and antiplatelet therapy after cardiac procedures. Her work combines pharmacogenetics (how genes affect drug metabolism and response), electronic health record data, and genomic analyses to understand blood pressure treatment outcomes, treatment-resistant hypertension, and stroke risk. This research aims to improve personalized medicine approaches, especially for underserved and diverse patient populations.
Publication output rose steadily from 2017 to a peak in 2022, then declined in recent years (2023-2026), suggesting a slowing pace compared to the earlier part of the decade.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Impact of Area-Level Socioeconomic Deprivation on Post-PCI Outcomes Stratified by P2Y12 Inhibitor Therapy
JACC Advances · 2026
- Impact of Area-Level Socioeconomic Deprivation on Post-PCI Outcomes Stratified by P2Y12 Inhibitor Therapy
UNC Libraries · 2026
- Impact of Area-Level Socioeconomic Deprivation on Post-PCI Outcomes Stratified by P2Y12 Inhibitor Therapy
Open MIND · 2026
- Impact of Area-Level Socioeconomic Deprivation on Post-PCI Outcomes Stratified by P2Y12 Inhibitor Therapy.
UNC Libraries · 2026
- Characterizing Alzheimer’s Disease and Related Dementia in a Hypertension Population Within the State of Florida Using Electronic Health Record–Based Data
Clinical Pharmacology & Therapeutics · 2025
- Evaluating the Evidence for <scp>CYP2C19</scp> Inhibitor Classifications: A Scoping Review
Clinical Pharmacology & Therapeutics · 2025
- Abstract 4364354: <i>CYP2C19-</i> Guided Therapy Antiplatelet Therapy Influences Outcomes After Percutaneous Coronary Intervention in Black Patients
Circulation · 2025
- Using electronic health records for clinical pharmacology research: Challenges and considerations
Clinical and Translational Science · 2024
- Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
BMC Cardiovascular Disorders · 2024
- Characterizing apparent treatment resistant hypertension in the United States: insights from the <i>All of Us</i> Research Program
Journal of the American Medical Informatics Association · 2024
- Assessing the Performance of <i>In silico</i> Tools and Molecular Dynamics Simulations for Predicting Pharmacogenetic Variant Impact
Clinical Pharmacology & Therapeutics · 2024
- Integrated metabolomics analysis reveals mechanistic insights into variability in blood pressure response to thiazide diuretics and beta blockers
Clinical and Translational Science · 2024
- Exploring perceptions, knowledge, and attitudes regarding pharmacogenetic testing in the medically underserved
Frontiers in Genetics · 2023
- Characteristics and Predictors of Apparent Treatment-Resistant Hypertension in Real-World Populations Using Electronic Health Record-Based Data
American Journal of Hypertension · 2023
- Whole genome sequence analysis of apparent treatment resistant hypertension status in participants from the Trans-Omics for Precision Medicine program
Frontiers in Genetics · 2023
- Clinical Pharmacology & Therapeutics×10
- Clinical and Translational Science×6
- medRxiv×6
- UNC Libraries×6
- Neurology×5
- Julie A. Johnson
Pharmacology, Toxicology and Pharmaceutics · The Ohio State University
- Nianjun Liu
Biochemistry, Genetics and Molecular Biology · Indiana University
- Bingxin Zhao
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Alex P. Miller
Biochemistry, Genetics and Molecular Biology · Indiana University
- Alexander Gusev
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile