Courses Taught by Edward Ruiz-Narvaez

EPID719: Quantitative Methods in Genetic Epidemiology

  • Graduate level
  • Residential
  • Summer term(s) for residential students;
  • 1 credit hour(s) for residential students;
  • Instructor(s): Ruiz-Narvaez, Edward Staff (Residential);
  • 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.

NUTR595: Nutrition And Genetic Epidemiology

  • Graduate level
  • Both Online MPH and Online MS
  • This is a second year course for Online students
  • Winter term(s) for online MPH students; term(s) for online MS students.
  • 3 credit hour(s) for online MPH students; 3 credit hour(s) for online MS students;
  • Instructor(s): Ruiz-Narvaez, Edward (Online MPH); Ruiz-Narvaez, Edward (Online MS);
  • Prerequisites: BIOSTAT 501 or 521 and PUBHLTH 512
  • Advisory Prerequisites: None
  • Description: This course familiarizes students with general methods and principles of nutrition and genetic epidemiology. In this course, students learn about methods to collect nutritional and genetic information at the population level, and how to apply methods of nutritional and genetic epidemiology to examine the relationship of diet, genes, and disease.
  • Learning Objectives: 1. Explain different methods to collect nutrition data 2. Assess strengths and weaknesses of different methods to collect nutrition data in epidemiological studies 3. Apply analytic tools to adjust for energy intake on nutritional epidemiology studies 4. Determine association of dietary factors with health outcomes 5. Explain types of genetic variation at the population level 6. Calculate allele frequencies at the population level 7. Understand factors affecting allele frequencies 8. Identify publicly available data for studies of genetic epidemiology 9. Calculate measures of association of genetic factors and health outcomes 10. Describe types of gene-diet interaction 11. Analyze datasets to estimate measures of gene-diet interaction 12. Interpret results of gene-diet interaction analysis 13. Summarize results of gene-diet interaction analysis to identify at-risk subjects

NUTR610: Evolutionary Nutrition: Implications for Human Health

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 2 credit hour(s) for residential students;
  • Instructor(s): Ruiz-Narvaez, Edward (Residential);
  • Prerequisites: None
  • Advisory Prerequisites: NUTR 630 and NUTR 631
  • 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.
  • 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

  • Graduate level
  • Residential
  • Winter term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Ruiz-Narvaez, Edward (Residential);
  • Prerequisites: BIOSTAT 521 or Instructor consent
  • 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.
  • 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.