Prerequisites: EPID 701 or EPID 503 or EPID 600 or EPID 601 AND EPID 709 or BIOSTAT 501 or BIOSTAT 521
Description: This course familiarizes students with methods and principles of genetic and epigenetic epidemiology. The course integrates concepts in human genetics, population genetics, epidemiology and biostatistics. The course will emphasize applications of existing methods. Topics to be included are population genetics, gene-environment interaction, genetic and epigenetic association studies, and social epigenomics.
NUTR610: Evolutionary Nutrition: Implications for Human Health
Description: Dietary and cultural shifts/innovations (for example, cooking, domestication of plants and animals) during human origins may have been acted as evolutionary forces shaping the physiology and metabolism as well as the genome of early humans. Exposure to modern diets may result in a mismatch of old adaptations to a new environment, potentially leading to so-called "diseases of civilization" such as hypertension, obesity, and type 2 diabetes. In this course, we will discuss human nutrition from an evolutionary perspective. We will critically review scientific theories (e.g. thrifty gene hypothesis) explaining how mismatch between old adaptations and modern diets affect human health. This evolutionary analysis may shed new light on the epidemics of "diseases of civilization" and may help to inform public health interventions. Students are expected to be very active participants of class discussions.
Course Goals: Recognize the importance of evolutionary analysis when addressing modern population health problems
Learning Objectives: After taking this course, students will:
Be able to explain human adaptations to dietary shifts over evolutionary time.
Be able to discuss scientific theories about the mismatch between modern diets and old adaptations.
Understand how an evolutionary perspective may help to explain current population health problems.
NUTR620: Multivariate Analysis of Nutrition Related Studies
Description: This course will teach students how to use multivariate statistical techniques to analyze nutritional data. Students will develop skills for the understanding, interpretation, and communication of nutrition-related results on relation to different health outcomes. Students will present a final report with the synthesis and conclusions of all their analyses.
Course Goals: After taking this course, students will:
Be able to manage and transform nutritional data into analyzable datasets.
Learn to plan multivariate analysis, including selection of variables, of nutritional data.
Be able to apply multivariate techniques (e.g. principal component analysis) to evaluate the relationship of nutritional factors with health outcomes.
Develop skills for understanding, interpretation, and presentation of results of the multivariate analysis of nutrition data on relation to diverse health outcomes.
Learning Objectives: The student will learn to:
Carry out multivariate analysis to evaluate association between dietary exposures, biomarkers, and health outcomes.
Derive, using principal component analysis, and interpret dietary patterns from dietary intake data.
Summarize, present, and discuss results of nutrition related studies.
Critically read relevant literature.