Formerly known as Human Genome Analysis: Genetic Analysis of Multifactorial Diseases, this intensive, residential, computer-based course is aimed at scientists actively involved in genetic analysis of both rare (Mendelian) and complex human traits.
The course provides a broad and comprehensive overview of the statistical methods currently used to map disease susceptibility genes in human populations. Discussions of the latest statistical methodology are complemented by practical hands-on computer exercises using state-of-the-art software. The statistical principles behind each method will be carefully explained so that participants with a non-statistical background can understand and better interpret their results.
In addition to discussing analysis methods applicable to samples of unrelated individuals, we also will discuss in some detail methods that can analyse family data or a combination of families and individuals.
Our interactive and intensive educational program will enable researchers to better carry out sophisticated statistical analyses of genetic data, and will also improve their interpretation and understanding of the results. The concepts and methodological approaches covered are equally applicable to genotype data generated from traditional genotyping technologies and to data generated through next generation sequencing endeavours. Note, however, that the bioinformatics pipelines for calling variants from next generation sequencing data are NOT covered; the focus of the course is on the downstream analysis of called variants.
All the software used is freely available, so that skills learned can be easily applied after the course. On completion, participants will be provided with a virtual machine copy of the computer used during the course, so they can easily explore the computer exercises and example data sets in greater detail. Teaching will take the form of lectures by invited expert speakers, informal tutorials, hands-on computer sessions, and analysis of example disease data sets. There will also be an opportunity for each participant to give a short presentation about his or her own research in progress. Each student will receive a certificate of course completion at the end of the course.
Target audience: The programme is aimed primarily at Ph.D. students and post-docs near the beginning of their career, whose projects involve data that could be analysed by the methods covered in this course. As we discuss in some detail methods for handling correlations induced by relatedness, there is a preference for candidates who have some family data or who are likely to have access to family data in the future. Programming experience is not required, but candidates without prior experience with the Unix/Linux command line will be required to acquire these skills prior to the course.
Feedback from the 2016 course
"Thank you for a great experience. I highly recommend to keep this course going for as long as possible with this excellent core of instructors who have been together for ~20 years. The topics are as important today as they've ever been and it's essential that the next generation of human genetic researchers understand these important topics and techniques."
"I will like to thank all the instructors for wonderful job and their patient with us. well done and keep it up".
"Thanks for all the instructors. I enjoyed every moment with healthy scientific conversation."
"I am grateful for the opportunity, because I recently started to learn about populations genetics and this course has been essential to understand it better and feel more confident about developing projects with populations."