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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Quantitative Genetic Models (PGBI11085)

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 Credits10 ECTS Credits5
SummaryThis course builds on lectures in quantitative genetics (in PGBI11001) and statistics (PGBI11003) and provides tools to analyse quantitative genetic data and interpret the results. Students will be introduced to statistical mixed models and the use of molecular data in quantitative genetic models.
Course description Session Topic
1 Introduction to mixed models for genetic problems
2 Generalising to the animal model incorporating information from all relatives
3 Parameter estimation: REML and variance estimation, BLUP and genetic evaluations
4 Practical analysis of real data
5 Extending the simple linear model to include common environment (repeat records), maternal effects, dominance and multivariate analysis.
6 Combining pedigree and molecular information to estimate relationships
7 Genomic relationships and their use in genetic evaluations
8 Practical issues and limitations with genomic data
9 Bayesian models incorporating molecular information
10 Future developments
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Population and Quantitative Genetics (PGBI11001)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesPGBI11001
Course Delivery Information
Academic year 2014/15, Available to all students (SV1) Quota:  None
Course Start Block 3 (Sem 2)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 14, Supervised Practical/Workshop/Studio Hours 24, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 60 )
Assessment (Further Info) Written Exam 0 %, Coursework 40 %, Practical Exam 60 %
Additional Information (Assessment) One assignment (40%) and one class test (60%)
Feedback Not entered
No Exam Information
Learning Outcomes
On successfully completing the course students will have a thorough knowledge of statistical mixed models and their application to quantitative genetics and will be familiar with software available to perform such analyses. Students will understand how molecular data can be used to augment traditional approaches.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsQGM
Contacts
Course organiserDr Sara Knott
Tel: (0131 6)50 5444
Email: s.knott@ed.ac.uk
Course secretaryMrs Jennifer Morris
Tel: (0131 6)50 5513
Email: jennie.morris@ed.ac.uk
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