This is a great educational opportunity with Professor John Witte.
Winter course in Genetic Epidemiology (EPI 224 / GENE 230). Tuesdays 9:45-11:45 (lead by John Witte, Professor of Epidemiology & Population Health, of Biomedical Data Science and, by courtesy, of Genetics)
This course presents fundamental concepts and methods in genetic epidemiology, with examples from genetic studies of common, complex diseases (e.g., cancer). It will provide an overview of various study designs and covers fundamental analyses, inferences, and their strengths and limitations. The course will cover the following topics: assessing genetic influences on disease (e.g., heritability); family- and population-based association study designs; candidate gene and genome-wide association studies of common and rare genetic variants; transcriptome-wide association studies; polygenic risk scores; bias due to population stratification; gene-environment interactions and epistasis; studies of diverse populations; software and web-based data resources; ethical issues in genetic epidemiology; and applications of genetic epidemiology to clinical practice and public health.
Access the course listing
Happy holidays all,
Katie M. Kanagawa, PhD, MA
Communications Manager
Department of Biomedical Data Science
Department of Epidemiology & Population Health
Center for Population Health Sciences
This is a great educational opportunity with Professor John Witte.
Winter course in Genetic Epidemiology (EPI 224 / GENE 230). Tuesdays 9:45-11:45 (lead by John Witte, Professor of Epidemiology & Population Health, of Biomedical Data Science and, by courtesy, of Genetics)
This course presents fundamental concepts and methods in genetic epidemiology, with examples from genetic studies of common, complex diseases (e.g., cancer). It will provide an overview of various study designs and covers fundamental analyses, inferences, and their strengths and limitations. The course will cover the following topics: assessing genetic influences on disease (e.g., heritability); family- and population-based association study designs; candidate gene and genome-wide association studies of common and rare genetic variants; transcriptome-wide association studies; polygenic risk scores; bias due to population stratification; gene-environment interactions and epistasis; studies of diverse populations; software and web-based data resources; ethical issues in genetic epidemiology; and applications of genetic epidemiology to clinical practice and public health.
Access the course listing
Happy holidays all,
Katie M. Kanagawa, PhD, MA Communications Manager Department of Biomedical Data Science Department of Epidemiology & Population Health Center for Population Health Sciences