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PhD summer course in analyses of genotyping and sequencing data in medical and population genetics
Provider: Faculty of Science

Activity no.: 5081-18-01-31 
Enrollment deadline: 11/08/2018
Date and time06.08.2018, at: 09:00 - 10.08.2018, at: 16:00
Regular seats40
ECTS credits5.00
Contact personIda Moltke    E-mail address: ida@bio.ku.dk
Enrolment Handling/Course OrganiserIda Moltke    E-mail address: ida@bio.ku.dk
Written languageEnglish
Teaching languageEnglish
Semester/BlockSummer
Block note1 week full time August 6 - 10, 2018
Exam formActive participation during the campus course
Exam aidsAll aids allowed
Grading scalePassed / Not passed
Course workload
Course workload categoryHours
Preparation80.00
Lectures20.00
Exercises20.00

Sum120.00


Content
The course is a comprehensive introduction to a number of topics and common research tools used in analyses of next-generation sequencing (NGS) data. Topics include: genetic drift, natural selection, population structure, Fst, linkage disequilibrium, association mapping, GWAS, f-statistics and admixture graph fitting. The main focus will be on humans, but the analysis methods are applicable to many other species as well. Lectures will be combined with hands-on computer exercises.

Formel requirements
The students are expected to have knowledge about either population genetics or medical genetics and preferable they are actively working on NGS data 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
  • Use NGS data including low depth for population genetic inference
  • 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
  • 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). This reading material should be read before the course starts.

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

Lecturer 1
Research Associate/Lecturer Matteo Fumagalli
Department of Life Sciences, Imperial College London, United Kingdom
http://cms.ku.dk/admin/science-sites/science/formularer/application-form--international-phd-courses-2018?get_upload_file=1&entry_nr=32&fieldname=Please_add_a_brief_CV

Lecturer 2
Assistant professor Emilia Huerta-Sanchez
School of Natural Sciences, University of California, Merced, United States
http://cms.ku.dk/admin/science-sites/science/formularer/application-form--international-phd-courses-2018?get_upload_file=1&entry_nr=32&fieldname=Please_add_a_brief_CV_1

Lecturer 3

Benjamin Peter, Max Planck,Leipzig, Germany

http://www.eva.mpg.de/genetics/staff/benjamin-peter/index.html

UCPH teachers
Assistant professor Ida Moltke
ida@binf.ku.dk

Associate professor Anders Albrechtsen
albrecht@binf.ku.dk

Assistant professor Fernando Racimo
fracimo@snm.ku.dk


Remarks

Lecturers:

Assistant professor Ida Moltke, University of Copenhagen
Associate professor Anders Albrechtsen, University of Copenhagen
Assistant professor Fernando Racimo, University of Copenhagen

 
Guest lectures by several international leaders in the field.


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