THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Linkage and Association in Genome Analysis (PGBI11086)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course introduces analytical approaches to dissect genetic variation and identify causative loci. It builds on Population and Quantitative Genetics (in PGBI11001) and Statistics and Data Analysis (PGBI11003) and forms part of the foundation for the second semester of teaching in the Quantitative Genetics suite of Master's Programmes.
Course description The course comprises lectures, tutorials and computer workshops covering the following topics:
Introduction to genomic data
Genetic linkage
Linkage disequilibrium
Estimating heritability using genomic data
Genetic association and genome-wide association studies
Study design
Imputation
Meta-analysis
Post genome-wide association studies
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites Students MUST also take: Population Genetics (PGBI11124) AND Quantitative Genetics (PGBI11125)
Prohibited Combinations Other requirements Recommended: PGBI11003 and PGBI11085
Information for Visiting Students
Pre-requisitesRequired: PGBI11001
Recommended: PGBI11003 and PGBI11085
High Demand Course? Yes
Course Delivery Information
Academic year 2021/22, Available to all students (SV1) Quota:  40
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 32, Supervised Practical/Workshop/Studio Hours 24, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 140 )
Assessment (Further Info) Written Exam 40 %, Coursework 60 %, Practical Exam 0 %
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)CLOSED BOOK EXAM2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. critically understand the analytical approaches for the dissection of genetic variation of complex traits and the identification of causative loci
  2. identify the most appropriate analyses for a problem, being aware of the potential strengths and shortfalls of these techniques, and perform these analyses to understand the control of genetic variation
  3. present and discuss analyses performed, identifying appropriate information to justify the methods used and explain the results
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsLAGA,QTL mapping,linkage,association,genome
Contacts
Course organiserDr Sara Knott
Tel: (0131 6)50 5444
Email: s.knott@ed.ac.uk
Course secretaryMiss Zofia Bekas
Tel: (0131 6)50 5513
Email: zofia.bekas@ed.ac.uk
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