iTHRIV: Data Structure, Disease Risk, GXE, and Causal Modeling

Foundations of Biomedical Data Science Virtual Seminar Series - Data Structure, Disease Risk, GXE, and Causal Modeling

Human disease is mainly due to complex interactions between genetic and environmental factors (GXE). Researchers need to acquire the right "smart" data types—coherent and multiplicative data—required to make accurate predictions about risk and outcome for n = 1 individuals—a daunting task.

Robert Williams, PhD and his team has developed large families of fully sequenced mice that mirror the genetic complexity of humans. They are using these reference populations to generate multiplicatively useful data and to build and test causal quantitative models of disease mechanisms with a special focus on diseases of aging, addiction, and neurological and psychiatric disease.

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Presenter
Robert W. WIlliams, PhD, Professor; Department of Genetics, Genomics and Informatics
University of Tennessee Health Science Center

Stream on YouTube