Overview
With a unique skill set resulting from outstanding training, my sole aim was to help improve human health through cutting-edge translational research. Specifically, I have been interested in illuminating the mechanisms responsible for the causes and progression of the leading public health conditions, which may help with the development and enhancement of precision medicine. As part of this endeavor, I also became interested in studying the measurement of biobehavioral risk factors and environmental stressors and their interactions with genes that may influence cardiovascular disease (CVD) risk factors and endophenotypes, adversely affecting the CVD pathways.
I joined medical research with my early research training on computational biology, high-throughput genomics, next-gen DNA sequencing, genome-wide studies, and big data analytics, which resulted in some of prominent findings on human genome (PMID: 18048317, PMID: 20223737, PMID: 20598109, PMID: 21703177). These findings included a significant contribution to the scientific community’s understanding that I made during my postdoctoral fellowship with Dr. David Goldstein at Duke Center for Human Genome Variation that how well RNA-Seq can identify human coding variants just using a small fraction of genome (transcriptome) as compared to whole genome (PMID: 20598109). This work was important not only scientifically, but also in pragmatic terms, given the high cost of sequencing.
In relatively recent work I discovered a novel CVD risk gene EBF1, where a common genetic variant contributed to inter-individual differences in human central obesity, fasting blood glucose, diabetes, and CVD risk factors in the presence of chronic psychosocial stress (PMID: 25271088). This work demonstrated the genetic variant-specific significant path from chronic psychosocial stress to common carotid intimal–media thickness (CCIMT), a surrogate marker for atherosclerosis, via central obesity and fasting glucose. I also developed an algorithm to create a synthetic measure of stress using the proxy indicators of its components (PMID: 26202568). Other more recent work has elucidated the race, sex, and age related differences in the EBF1 gene-by-stress interaction (PMID: 33077726), which suggests the need for careful evaluation of environmental measures in different ethnicities in cross-ethnic gene-by-stress interaction studies.
More recently, I have expanded my research interest in studying the genetic architecture of Alzheimer’s disease (AD) and the role of psychosocial stress in modifying the effect of genetic variants on the disease risks.
Current Appointments & Affiliations
Recent Publications
GENETIC ARCHITECTURE OF ALZHEIMER'S DISEASE RISKS
Journal Article Innovation in Aging · December 20, 2022 Featured Publication AbstractMore than 6 million people in the US live with Alzheimer's disease (AD) and related-dementia. There is a racial disparity in the prevalence of disease. However, its full genetic architecture and comp ... Full text CiteRelationship Between Psychosocial Stress and Blood Pressure: The National Heart, Lung, and Blood Institute Family Heart Study.
Journal Article SAGE Open Nurs · 2022 INTRODUCTION: Various domains of psychosocial stress have been significantly related to blood pressure. However, ambiguity is present in how these relationships are defined in the literature. OBJECTIVE: To add to the existing literature and examine the rel ... Full text Open Access Link to item CiteComplex Traits. In: Gellman, M.D. (eds) Encyclopedia of Behavioral Medicine
Chapter · October 30, 2020 Full text Link to item CiteRecent Grants
The Role of Chemical Exposures in Alzheimer's Disease (AD) and its Trajectory
ResearchInformatics Analyst · Awarded by National Institutes of Health · 2024 - 2029Prenatal cannabis: A fetal neuroimaging study of neurodevelopment
ResearchAnalyst · Awarded by National Institute on Drug Abuse · 2021 - 2026Project 1: The Long Life Family Study
ResearchSenior Research Scientist · Awarded by Washington University in St. Louis · 2019 - 2025View All Grants