Human Genome Analysis: Genetic Analysis of Multifactorial Diseases

An intensive, residential, computer-based course aimed at scientists actively involved in genetic analysis of multifactorial traits.
Programme
This advanced course covers statistical methods currently used to map disease susceptibility genes, with an emphasis on (but not limited to) methods that can analyse family data or a combination of families and individuals. Discussions of the latest statistical methodology are complemented by practical hands-on computer exercises using state-of-the-art software. The statistical basics behind each method will be carefully explained so that participants with a non-statistical background can understand.

With a focus on family data, we will discuss fundamental issues needed to increase success in gene mapping studies including: optimal study design, power to detect linkage and association, determining the most appropriate statistical methods and software, interpretation of statistical results and trouble shooting. We will also cover the basic principles of statistical inference, hypothesis testing, population and quantitative genetics and Mendelian inheritance. Our interactive and intensive educational program will enable one to better carry out sophisticated statistical analyses of genetic data, and will also improve one's interpretation and understanding of the results. All the software used is freely available, so that skills learned can be easily applied after the course.

Teaching will take the form of lectures by invited speakers, informal tutorials, hands-on computer sessions, and analysis of disease family data sets. There will also be an opportunity to discuss participants' own data sets.
+ show speakers and program
Course instructors
Heather Cordell (Institute of Genetic Medicine, Newcastle University, UK)
Janet Sinsheimer (University of California, Los Angeles, USA)
Eric Sobel (University of California, Los Angeles, USA)
Joe Terwilliger (Columbia University, New York, USA)
Chad Garner (University of California, Irvine, USA)
Simon Heath (Centre Nacional d’Anàlisi Genòmica (CNAG), Barcelona, Spain)

Guest speakers
Hakon Hakonarson (Center for Applied Genomics, Children's Hospital of Philadelphia, USA)
Suzanne M. Leal (Center for Statistical Genetics, Baylor College of Medicine, USA)
David van Heel (Blizard Institute, Barts and The London School of Medicine and Dentistry, UK)
Kai Wang (University of Iowa, USA)
Krina Zondervan (Wellcome Trust Centre for Human Genetics, UK)

24 Jul - 30 Jul 2013
Cambridge
United Kingdom
meeting website