Statistical Genetics & Genetic Epidemiology
Statistical genetics focuses on developing statistical methods and large-scale data sets to define the genetic basis of human traits and diseases, such as cancer, heart disease, and diabetes. Genetic epidemiology studies how genetic and environmental factors contribute to human health, disease, and traits in populations and families.
Importantly, the identification of genetic variants that influence the risk of common human diseases helps researchers to improve diagnosis and prognosis, and to develop interventions including behavioral modifications and molecularly targeted therapies that can lead to improved patient outcomes.s
Please browse the profiles of the faculty below to explore the research of individual laboratories.
Principal Investigators
Jeffrey Kidd
Professor of Human Genetics
Professor of Computational Medicine and Bioinformatics
Medical School
Professor of Computational Medicine and Bioinformatics
Medical School
Jun Li, PhD
Adjunct Professor of Human Genetics
Medical School
Medical School
Ryan Mills, PhD
Program Director of DCMB Computing Infrastructure
Professor of Computational Medicine and Bioinformatics
Professor of Human Genetics
Medical School
Professor of Computational Medicine and Bioinformatics
Professor of Human Genetics
Medical School
Stephen CJ Parker, PhD
Professor of Computational Medicine and Bioinformatics
Professor of Human Genetics, Medical School
Professor of Biostatistics, School of Public Health
Professor of Human Genetics, Medical School
Professor of Biostatistics, School of Public Health
Xinjun Zhang
Assistant Professor of Human Genetics, Medical School
Assistant Professor of Ecology and Evolutionary Biology, College of Literature, Science, and the Arts
Assistant Professor of Ecology and Evolutionary Biology, College of Literature, Science, and the Arts
