Dr. Zhao’s work spans several areas of genomic epidemiology, including gene discovery, gene-environment interaction, epigenomics, transcriptomics, mitochondrial genomics, and risk prediction.
Dr. Zhao’s work spans several areas of genomic epidemiology, including gene discovery, gene-environment interaction, epigenomics, transcriptomics, mitochondrial genomics, and risk prediction.
Dr. Smith studies genomics, transcriptomics, and epigenomics of age-related chronic disease and its risk factors. Her recent research investigates the interaction between genetic risk and socioeconomic risk factors as determinants of chronic disease phenotypes, particularly those that lead to disparities in health.
Dr. Mitchell is interested in the influence of the social and familial environmental on health and behavior over the life course. His earlier research focused mainly on the social environment and child and young adult behavior in early life. Over the last decade, he has expanded on this research by examining how social contextual factors interact with genetic, epigenetic, and neurodevelopment factors to predict health and wellbeing over the life course, including in later life.
Dr. Karvonen-Gutierrez’s research focuses on the impact of chronological aging, reproductive aging and obesity and their intersections. She also studies the development and progression of chronic disease and musculoskeletal outcomes through the creation of a metabolically-dysfunctional and pro-inflammatory environment.
Dr. Bakulski’s research focuses on the genetics of mental and cognitive health. She also has experience with heavy metals exposure assessment, particularly biomarkers of cumulative lead exposure. Dr. Bakulski’s current research integrates and applies multiple genome-wide measures to understand disease risk. In addition, she studies the interactions between multiple pollutant exposures and genetics in aging populations on the risk of cognitive decline.
Dr. Ware conducts high throughput statistical analysis of genomic data to study disparities by in psychiatric outcomes by race and sex. She also explores gene-environment interactions as determinants of chronic disease.
Dr. Kardia’s research focuses on the genetic epidemiology of common chronic diseases and their risk factors. She is particularly interested in gene-environment and gene-gene interactions and in developing novel analytical strategies to understand the complex relationship between genetic variation, environmental variation, and risk of common chronic diseases. Her research utilizes genomic, epigenomic, transcriptomic, and proteomic measures on large epidemiological cohorts. She is a Health and Retirement Study co-investigator.
Dr. Faul’s scholarly interests are at the intersection of epidemiology, biodemography, and aging. She is currently collaborating on a grant to identify gene-by-environment interactions and their influence on later life cognitive decline and is co-leading a study to characterize disparities in Alzheimer’s disease risk through analysis of polygenic risk and other epidemiologic factors. She is a co-investigator on the Health and Retirement Study and Harmonized Cognitive Assessment Protocol and has led the development of a workshop to train social scientists on the use of genomic data.