NSCPHD1101  PhD course in analyses of genotyping and next-generation sequencing data in medical and population genetics

Volume 2015/2016
Content

 

PLEASE NOTE         

The PhD course database is under construction. If you want to sign up for this course, please click on the link in order to be re-directed. Link: https://phdcourses.ku.dk/nat.aspx

The course is a comprehensive introduction to a number of topics and common research tools used in analyses of genetic data. Topics include: genetic drift, natural selection, population structure, Fst, linkage disequilibrium, relatedness, association mapping, GWAS, IBD mapping, admixture mapping, genotyping data, next-generation sequencing (NGS) data, 1000 genomes project data. The main focus will be on humans but the methods are applicable for many other species as well. Lectures will be combined with hands-on computer exercises mostly using R and commandline based programs.

Learning Outcome

After the course the student will be able to

  • Use population genetic theory to infer basic population genetics characteristics from genetic data, including Fst, population size, relatedness and linkage disequilibrium 
  • Be able to infer ancestry and population structure based on genetic data
  • Select the optimal strategy for disease mapping based on the available data, the trait of interest, and the population genetics characteristics of the sample population, including taking population structure into account
  • Perform disease mapping, including genome-wide association studies
  • Interpret and discuss the results of own analyses and results in the scientific literature

Notes and articles for background reading prior to course start will be made available on the course webpage (password protected).

Additionally, handouts will be passed out during the course, but for each lecture there is one or two articles/notes that should be read in advance. 

The students are expected to have knowledge about either population genetics or medical genetics and preferable they are actively working within these fields.
A mix of lectures, hands-on computer exercises and research talks
Credit
5 ECTS
Type of assessment
Course participation
Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Credit
7,5 ECTS
Type of assessment
Written assignment
Exam registration requirements

Active attendance withing the first week of the course

Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Exam period

Week 35

  • Category
  • Hours
  • Preparation
  • 80
  • Lectures
  • 20
  • Exercises
  • 20
  • Exam
  • 60
  • Total
  • 180