Statistical genetics
Summary
This course will cover the major topics in statistical genetics.
Content
Topics will include (as time permits):
- Population genetics, Hardy-Weinberg Equilibrium
- Mendelian genetics
- Genetic epidemiology
- Gene mapping
- Pedigree analysis
- Segregation analysis
- Hidden Markov Model (HMM)
- Likelihoods on pedigrees - Elston-Steward and Lander-Green algorithms
- Lod scores and linkage analysis
- Linkage disequilibrium and association analysis
- Genome-wide association studies (GWAS)
Keywords
genetics, genetic epidemiology, pedigree analysis, gene mapping, pedigree analysis, HMM, linkage disequilibrium, GWAS
Learning Prerequisites
Required courses
A previous statistics course would be useful.
Recommended courses
A previous statistics course would be useful.
Important concepts to start the course
A good understanding of likelihood would be useful, although we can cover this in the course if necessary.
Learning Outcomes
By the end of the course, the student must be able to:
- Choose appropriate analysis for a genetic problem
- Construct an appropriate genetic model
- Design a genetic study
- Compute necessary values for a genetic study
- Implement correct analysis methods
- Report results
Transversal skills
- Use a work methodology appropriate to the task.
- Set objectives and design an action plan to reach those objectives.
Teaching methods
Lectures plus handwritten as well as computer exercises.
Expected student activities
Class and exercises attendance and participation as well as report writing. Some group work will also be assigned. Students are expected to participate in their learning by attending lectures and practical exercise sessions, posing questions, proposing topics of interest, peer reviewing of preliminary reports, and interacting with teaching staff regarding their understanding of course material.
Assessment methods
Assignments based on group exercises and an individual report on a genetic study.
Dans le cas de l'art. 3 al. 5 du Règlement de section, l'enseignant décide de la forme de l'examen qu'il communique aux étudiants concernés.
Supervision
Office hours | Yes |
Assistants | Yes |
Forum | Yes |
Resources
Virtual desktop infrastructure (VDI)
No
Bibliography
To be provided during the course.
In the programs
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Statistical genetics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Statistical genetics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: During the semester (summer session)
- Subject examined: Statistical genetics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
Reference week
Mo | Tu | We | Th | Fr | |
8-9 | |||||
9-10 | |||||
10-11 | |||||
11-12 | |||||
12-13 | |||||
13-14 | |||||
14-15 | |||||
15-16 | |||||
16-17 | |||||
17-18 | |||||
18-19 | |||||
19-20 | |||||
20-21 | |||||
21-22 |
Légendes:
Lecture
Exercise, TP
Project, other