Advances in Linear Mixed Models for Genome-Wide Association Studies
Event details
| Date | 27.08.2013 |
| Hour | 12:15 › 13:15 |
| Speaker | Dr. Christoph Lippert, Senior Researcher, eScience Group, Microsoft Research, Los Angeles. |
| Location | |
| Category | Conferences - Seminars |
In my talk I am going to give an introductory overview over our work on FaST-LMM, an accurate and efficient method to correct for confounding by population structure and family relatedness in genome-wide association studies. I am going to highlight two flaws in standard GWAS analyses using the linear mixed model that lead to a loss in power and show simple and elegant ways to avoid them. The resulting method achieves better correction, increased power to detect true associations and is extremely scalable. Finally, I will talk about a recent extension of FaST-LMM to association tests of sets of multiple genetic markers, for example all variants contained in a gene or in a pathway.
The FaST-LMM software is available at:
http://research.microsoft.com/en-us/um/redmond/projects/MSCompBio/Fastlmm/
The FaST-LMM software is available at:
http://research.microsoft.com/en-us/um/redmond/projects/MSCompBio/Fastlmm/
Practical information
- General public
- Free
Organizer
- Prof. Jacques Fellay - http://fellay-lab.epfl.ch
Contact
- Mrs. Marisa Marciano Wynn - phone:+4121 693 72 32