Jennifer Dungan’s primary area of scientific expertise is in the use of genetic epidemiology to study complex cardiovascular diseases and outcomes. Dungan is also interested in collaborating on projects related to women’s heart disease, functional genetic studies of coronary disease candidate genes, as well as clinical and genetic biorepositories.
Areas of Expertise (3)
Women’s Heart Disease
Media Appearances (1)
Explore Research at the University of Florida online
As a doctoral student at the UF College of Nursing in the early 2000s, Jennifer Dungan regularly biked to the UF Health Shands Hospital carrying a biohazard cooler to collect and study human coronary artery fragments removed during heart bypass surgeries. Dungan used the tissue in her doctoral research to determine whether certain genes were expressed differently among people without high blood pressure.
Genome-Wide Variants Associated With Longitudinal Survival Outcomes Among Individuals With Coronary Artery DiseaseFrontiers in Genetics
Jennifer R. Dungan, et al.
Coronary artery disease (CAD) is an age-associated condition that greatly increases the risk of mortality. The purpose of this study was to identify gene variants associated with all-cause mortality among individuals with clinically phenotyped CAD using a genome-wide screening approach.
Protein Cytokines, Cytokine Gene Polymorphisms, and Potential Acute Coronary Syndrome SymptomsBiological Research For Nursing
Sahereh Mirzaei, et al.
The purpose of this study was to determine whether relationships exist among protein cytokines, cytokine gene polymorphisms, and symptoms of potential acute coronary syndrome (ACS). Participants included 438 patients presenting to the emergency department (ED) whose symptoms triggered a cardiac evaluation (206 ruled in and 232 ruled out for ACS). Presence or absence of 13 symptoms was recorded upon arrival.
Polygenic signal for symptom dimensions and cognitive performance in patients with chronic schizophreniaSchizophrenia Research: Cognition
Rose Mary Xavier, et al.
Genetic etiology of psychopathology symptoms and cognitive performance in schizophrenia is supported by candidate gene and polygenic risk score (PRS) association studies. Such associations are reported to be dependent on several factors - sample characteristics, illness phase, illness severity etc. We aimed to examine if schizophrenia PRS predicted psychopathology symptoms and cognitive performance in patients with chronic schizophrenia.