Teaching plan for the course unit

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General information

 

Course unit name: Genetic Epidemiology I: Methods and Applications

Course unit code: 574171

Academic year: 2021-2022

Coordinator: Barbara Arias Samperiz

Department: Department of Evolutionary Biology, Ecology and Environmental Sciences

Credits: 2,5

Single program: S

 

 

Estimated learning time

Total number of hours 62.5

 

Face-to-face and/or online activities

20
 

-  Lecture

Face-to-face

  

14
 

-  IT-based class

Face-to-face

  

3
 

-  Seminar

Face-to-face

  

3

Supervised project

16

Independent learning

26.5

 

 

Learning objectives

 

Referring to knowledge

  • Describe and discuss the contributions made by genomics research to the knowledge of health–disease phenomena in human populations.
  • Identify and explain the new tools being used for sequence variation discovery in the genetics of complex traits in human populations.
  • Identify the basic concepts and methodologies of phenotype prediction in epidemiology.

 

 

Teaching blocks

 

No..

Title

1

Block 1. From Mendelian to complex diseases

2

Block 2. Determining the genetic component in complex diseases

*  Twin and adoption studies and familial environment. Heritability as a measurement of the genetic contribution to a trait.

3

Block 3. Strategies for identifying the genetic basis of diseases

*  Bonding and association. Genome-wide association studies and polygenic risk scores. A critical review of results (examples). Going beyond genome-wide association studies: Genome-wide association study (GWAS)-based pathway association analysis, pathway analysis, gene–environment-wide association studies, deep sequencing on genome-wide scale, and genome-wide DNA methylation.

4

Block 4. The role of the environment in understanding complex disease

*  Environment, gene–environment interaction (GxE) and gene–environment correlation (rGE)

5

Block 5. Models of genomic prediction in epidemiology

*  Diagnostic tests, prediction models and biomarkers: individual and population applications

6

Computer practicals

*  Using R to calculate polygenic risk scores

7

Seminars

*  Talk by a specialist

8

COVID-19

*  Note that the total completion of this content may be subject to official COVID-19 restrictions.