Postgraduate Course: Linkage and Association in Genome Analysis (PGBI11086)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This 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
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Information for Visiting Students
| Pre-requisites | Required: 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 EXAM | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- critically understand the analytical approaches for the dissection of genetic variation of complex traits and the identification of causative loci
- 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
- present and discuss analyses performed, identifying appropriate information to justify the methods used and explain the results
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | LAGA,QTL mapping,linkage,association,genome |
Contacts
| Course organiser | Dr Sara Knott
Tel: (0131 6)50 5444
Email: s.knott@ed.ac.uk |
Course secretary | Miss Zofia Bekas
Tel: (0131 6)50 5513
Email: zofia.bekas@ed.ac.uk |
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