This two-week course presents theoretical lectures, research examples and hands-on computer training on concepts and tools used in the study of human population genomics and genetic epidemiology.
The first week consists in three days of both theoretical lectures and research examples, and two days of hands-on-computer training and discussions presenting the concepts and the technical tools used in both human population genomics and genetic epidemiology.
- Introductory concepts in human genomics and populations genetics.
- Basic concepts in statistical genetics and genomics.
- Introduction to genetic epidemiology.
- Population genetics: mutation, recombination and linkage disequilibrium.
- Public databases in human genomics (HapMap, 1,000 Genomes).
- Genetic epidemiology (linkage analyses and association studies).
- Methods to detect natural selection in the human genome.
- Research examples.
- Lectures from keynote speakers in genetic epidemiology and population genetics.
The second week consists in two days of detailed theoretical bases in population genomics and genetic epidemiology analyses and three days of practical computer-based training in the most recent concepts and analyses used in both disciplines. The practical training (computer laboratory work and discussion of the results) is based on real-data examples, using infectious diseases as a paradigm.
Topics include :
- Quantitative genetics and expression quantitative trait loci (eQTL) analysis.
- Analysis of rare variants and population structure.
- Next Generation Data – design and analysis.
- Genome-wide association analyses (GWAS) – exomes – whole genome sequencing – transcriptomics - RNA seq.
- Computer laboratory work in genetic epidemiology.
- Computer laboratory work in population genetics.
- Lectures from keynote speakers.
Candidates must have basic knowledge in molecular genetics, statistics and informatics.
The course committee will evaluate applications.
Human Evolutionary Genetics Unit
Human Genetics of Infectious Diseases
INSERM U. 980
Necker Medical School
A. Alcais (INSERM-Necker),
E. Coeffier (Institut Pasteur),
S. Garnier (Université Pierre et Marie Curie),
S. Lyonnet (Université Paris-Descartes),
V. Ponticelli (Institut Pasteur),
L. Quintana-Murci (Institut Pasteur),
M. Sala (Institut Pasteur),
H. Waxin (Institut Pasteur),
A. Zider (Université Paris-Diderot).