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Timothy McCaffreyProfessor of Medicine
Professor of Microbiology, Immunology, and Tropical Medicine (Secondary)
Office Phone: 202-994-8919
- BA, St Mary's U, San Antonio, 1979
- MS, Purdue University, 1983
- PhD, Purdue University, 1985
2010-Present Professor of Medicine, Director, Division of Genomic Medicine, GWU
2006-present Board Member, The Cheney Cardiovascular Institute
2005-2010 Professor, Biochemistry & Molecular Biology, GWU Medical Center
2004-2010 Vice-Chair, Research and Administration, Biochemistry, GWU
2004-2010 Director, The Catherine Birch McCormick Center, GWU
2001-2005 Associate Professor of Biochemistry & Molecular Biology, GWU
2000-2001 Founder and Director, Genomics Core Facility, Cornell Medical School
1994-2001 Associate Research Professor of Cell Biology in Medicine, Cornell Medical College
1989-1994 Assistant Professor of Cell Biology in Medicine, Cornell Medical College
1987-1989 Instructor of Cell Biology in Medicine, Cornell Medical College
1985-1987 Research Associate, Department of Medicine, Cornell University Medical College
1981-1985 Teaching Assistant, Department of Psychology, Purdue University
1979-1980 Assistant Research Scientist, Cardiopulmonary Division, Southwest Foundation.
Concordant Integrative Analysis of Multiple Gene Expression Data Sets
NIH 1 RO1 GM092963-01 PI: Linglei Lai, Ph.D.
Analysis of Aspirin-Insensitive Thrombophilia by RNAseq of Blood.
US-China Collaboration via Chinese Ministry of Health
Next Generation Sequencing-based diagnosis of coronary artery disease
The GW/MFA Collaborative Grant Fund PI: McCaffrey/Katz
Genomic Analysis of Respiratory Pathogens
CTSI-CN Pilot Grant Program PI: Siegel/Simon
Total Award Amount: $40,000
Executive Editor, Gene (Journal)
Editorial Board, Advances in Genetics and Genomics
Washington DC Academy of Medicine
Personalized Medicine Coalition, Charter Member
American Heart Association
MERIT Award (National Institutes on Aging)
Jackson Friedman Young Investigator Award
Course Director, MICR 236, Fundamentals of Genomics (2002-present)
Course Director, GNMX 201, Personalized Genomics, (2011-present)
Lecturer, PubH 290.35 Molecular Epidemiology (2008-2012)
Lecturer, BMSC 213 (2002-2012)
Lecturer, BIOC 210/211 (2002-2012)
Section Director, BMSC 213, Molecular Medicine (2002-2009)
Lecturer, BIOC 254, (2002-2010)
Lecturer, BIOC 250, Advanced Topics in Molecular Biology (2003)
Lecturer, CS 177 Introduction to Bioinformatics, (2004-2006)
Section Director, Medical Biochemistry for Medical Students, Genetics (2005)
Diagnosis and Prediction of Cardiovascular Diseases by Genomic Technologies
Cardiovascular diseases, particularly atherosclerosis, are the major cause of death and morbidity in developed countries. Atherosclerosis can lead to an acute myocardial infarction (MI), or heart attack, with an incidence of approximately 650,000 per year in the U.S. alone. The current gold standard for diagnosing coronary artery disease (CAD) is coronary artery angiography. Surprisingly, despite some well-established clinical and diagnostic criteria, about 30-40% of the 1 million diagnostic catheterizations each year in the U.S. return a result of ‘no coronary blockage’.
Using the most advanced SeqLL single molecule sequencing (SMS) of RNA (RNAseq, aka ‘deep or next-gen sequencing’) to identify transcripts associated with CAD (TRACs), we have identified more than 200 transcripts that differed significantly between groups were identified. Careful analysis and confirmatory studies strongly suggest that these TRACs are RNA markers of subset of T cells, consistent with numerous prior publications suggesting changes in the T cell ratios in CAD.
These studies potentially provide a clinic-ready diagnostic test for the presence of CAD in chest pain patients. In the future, this test could be expanded toward diagnosing CAD in asymptomatic patients, which could potentially prevent unexpected MI and provide physicians the chance for early intervention, with simple, proven therapies such as aspirin, statins, and lifestyle changes.
Acute Appendicitis: Transcript Profiling of Blood Identifies Promising Biomarkers and Potential Underlying Processes
The diagnosis of acute appendicitis can be surprisingly difficult without computed tomography, which carries significant radiation exposure. Genome-wide expression profiling was applied to whole blood RNA of acute appendicitis patients versus patients with other abdominal disorders, in order to identify biomarkers of appendicitis. From a large cohort of emergency patients, a discovery set of patients with surgically confirmed appendicitis, or abdominal pain from other causes, was identified. RNA from whole blood was profiled by microarrays, and a combined fold-change (>2) and p value (<0.05) filter was applied. A separate set of patients, including patients with respiratory infections, was used to validate a partial least squares discriminant (PLSD) prediction model.
Transcript profiling identified 37 differentially expressed genes (DEG) in appendicitis versus abdominal pain patients. The DEG list contained 3 major ontologies: infection-related, inflammation-related, and ribosomal processing. A PLSD model was 100% sensitive and specific internally, and was 89% sensitive and 75% specific when applied to an independent validation set. Infection-related transcripts were lower in appendicitis patients than in other abdominal pain patients, or patients with respiratory infections. Thus, appendicitis patients show readily detectable changes in blood RNA profiles, which may provide a clinically useful diagnostic test. The relative absence of infection-related transcripts suggest that appendicitis patient’s immune cells are not directly contacting pathogens, but are primed by diffusible factors from the infection site. The detected biomarkers are consistent with prior evidence that biofilm-forming bacteria in the appendix may be an important factor in appendicitis.
Centers and Institutes
GW Heart and Vascular Institute
GW Katzen Cancer Center, Research Committee
GW Institute of Biomedical Sciences
Former Director, McCormick Genomics Center
Rare Genomics Institute
2013 Executive Editor, Gene (Journal)
2011-2012 Editorial Review Board, Gene (Journal)
2005-present Washington DC Academy of Medicine
2003-present Personalized Medicine Coalition, Charter Member
- Clinical and Translational Research
- Translational Health Sciences
- Genomic Medicine
View publications by this faculty member from January 1, 2013 - present
Additional publications published before January 1, 2013 may be available within Himmelfarb Library's database.
Industry Relationships and Collaborations
This faculty member (or a member of their immediate family) has a significant financial interest with the healthcare related companies listed below. These relations have been reported to the University and, when appropriate, management plans are in place to address potential conflicts.