Genomic Epidemiology of Malaria
Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
**COURSE POSTPONED**
Due to the current unrest in Bangkok we have been advised to postpone the course. We are working on new dates to hold the course in Bangkok. If you are interested in attending the course, please register your interest by sending an email to advancedcourses@hinxton.wellcome.ac.uk, and we will keep you informed.
Course overview
Advances in high-throughput genome sequencing and genotyping technologies are revolutionizing the way we study infectious disease in natural populations. This course will teach researchers to apply new genomic tools and analyses to malaria epidemiology, with the goal to be able to detect and use information about natural genetic variation in the parasite, vector and host genome to understand and control disease.
The course will cover key concepts in genome variation and population genetics, current and emerging sequencing and genotyping technologies to detect variation, and analysis tools for interpreting their data outputs. Concepts and technologies will be presented in the context of real-world applications, like using genetic variation for surveillance of anti-malarial drug and insecticide resistance.
Programme
Topics will include:
- high-throughput sequencing using Illumina technology
- analysis of genomic features and identification of variation within and across genomes and populations
- large scale genotyping platforms and methodologies
- performing genome-wide association studies
- relevant statistical analyses
- population genetics
- considerations for epidemiological study design
- use of high-throughput sequencing technology in lab-based studies of drug resistance
- applications of genomics to malaria elimination.
The programme will comprise lecture and practical sessions in which relevant analysis tools and software will be applied to relevant, real datasets from ongoing studies in genomic epidemiology of malaria. Practical sessions will illustrate the ideas presented in the lectures. Wherever possible, open source software will be used to facilitate implementation of skills after the course.
Scientific Programme Committee
- Dominic Kwiatkowski (Wellcome Trust Sanger Institute/Oxford University, UK)
- Bronwyn MacInnis (Wellcome Trust Sanger Institute, UK)
- Olivo Miotto (Oxford University, UK/Mihadol University, Thailand)
- Matthew Berriman (Wellcome Trust Sanger Institute, UK)
- Chris Newbold (Wellcome Trust Sanger Institute/Oxford University, UK)
If you are interested in attending the course, please register your interest by sending an email to advancedcourses@hinxton.wellcome.ac.uk, and we will keep you informed.