Faculty of Science

Summer course in analysis of high throughput data for population genetics
Provider: Faculty of Science

Activity no.: 5081-21-01-31
	Enrollment deadline: 30/07/2021

Date and time

26.07.2021, at: 00:00 - 30.07.2021, at: 00:00

Regular seats

ECTS credits

5.00

Contact person

Ida Moltke E-mail address: ida@bio.ku.dk

Enrolment Handling/Course Organiser

Ida Moltke E-mail address: ida@bio.ku.dk

Written language

English

Teaching language

English

Semester/Block

Summer

Block note

5 days full time July 26-30, 2021

Exam form

Active participation during the campus course

Exam aids

All aids allowed

Grading scale

Passed / Not passed

Course workload

Course workload category	Hours
Preparation	85.00
Lectures	40.00
Exercises	20.00

Sum	145.00

Content

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.

Formal requirements

Academic qualifications:
The students are expected to have knowledge about either population genetics or medical genetics and preferable they are actively working within these fields.

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

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.

Teaching and learning methods

A mix of lectures, hands-on computer exercises and research talks.

Lecturers

Group Leader Benjamin Peter, Max Planck Institute for Evolutionary Anthropology

Dr Tyler Linderoth, University of Cambridge

Professor John Novembre, University of Chicago

Assistant professor Fernando Racimo, University of Copenhagen

Associate professor Ida Moltke, University of Copenhagen

Associate professor Anders Albrechtsen, University of Copenhagen

Remarks

How to apply: please see http://popgen.dk/popgen21

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