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 builds on Population and Quantitative Genetics (in PGBI11001) and Statistics and Data Analysis (PGBI11003). It introduces the analytical approaches of linkage and association to dissect genetic variation and identify causative loci. |
| Course description |
The course has the following sessions involving lectures, tutorials and computer practicals:
1 Introduction to molecular markers: genotype calling, quality control
2 Linkage: testing for linkage, estimating recombination fraction, development of genetic maps
3 Basic concepts of QTL mapping in inbred line crosses
4 Extensions to outbred crosses and multiple QTL
5 + 6 Significance and precision: issues and the use of sampling methods; predicting power to detect QTL
7 + 8 QTL mapping in complex pedigrees
9 Linkage disequilibrium
10 Introduction to association in quantitative traits
11 Basic issues in association: significance, estimation, validation, stratification
12 Stratification: Identification and analytical approaches to avoid problems
13 + 14 Case-control studies: odds and risk ratios, generalised linear models
15 + 16 Study design: imputation and meta-analyses
17 Missing heritability: causes and routes to discovery
18 Rare variants: methods to detect
19 Technological developments: guest lectures
20 Discussion
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Information for Visiting Students
| Pre-requisites | PGBI11001
Recommended PGBI11003 and PGBI11085 |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- On successfully completing the course, students will have an understanding of the analytical approaches of linkage and association for the dissection of genetic variation of complex traits and the identification of causative loci.
- They will be aware of the potential shortfalls of these techniques and be able to identify the most appropriate analyses for particular problems.
- They will be familiar with current practices in genome analysis for complex trait dissection and have skills required to implement them.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | LAGA |
Contacts
| Course organiser | Dr Sara Knott
Tel: (0131 6)50 5444
Email: |
Course secretary | Mrs Jennifer Morris
Tel: (0131 6)50 5513
Email: |
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