Boerwinkle E
Biography
Dr. Boerwinkle received his B.S. in Biology from the University of Cincinnati in 1980, an M.A. in Statistics (1984), and M.S. and Ph.D. in Human Genetics (1985) from the University of Michigan, Ann Arbor where he served as Senior Research Associate in the Department of Human Genetics from 1985-1986. He joined the University of Texas-Houston Center for Demographic/ Population Genetics in 1986 as a Research Assistant and became Assistant Professor in the same year. In 1991 he joined the Department of Human Genetics at the School of Public Health, University of Texas-Houston Health Science Center as Associate Professor, in 1996 was promoted to Professor, and in 1997, Director of the Human Genetics Center. He became a faculty member of the Institute of Molecular Medicine in 1996 and became Professor and Director of the Research Center for Human Genetics.
Dr. Boerwinkle is a member of the American Diabetes Association and the American Society of Human Genetics. The research interests of Dr. Boerwinkle encompass the genetic analysis of common chronic diseases in humans, including coronary artery disease, hypertension, and non-insulin dependent (type II) diabetes. This work includes localizing genes which contribute to disease risk, identification of potentially functional mutations within these genes, testing these candidate functional mutations in experimental systems, defining the impact of gene variation on the epidemiology of disease, and determining the extent to which these genes interact with environmental factors to contribute to disease risk. Activities include both statistical analysis and laboratory work. A large part of Dr. Boerwinkle's current research effort consist of localizing genes contributing to disease risk using modern genome-wide mapping methods. Success depends on keeping up with the latest genomic technical advances. The laboratory is set-up and operating as a high through-put sequencing and genotyping facility in which speed, accuracy and efficiency are monitored continuously. However, we are constantly seeking out more efficient methods to collect and manage genetic information.
Research Interest
Genomics
