Introduction to Imaging Genetics educational course
A half-day educational course at the Organization for Human Brain Mapping meeting, 14 June, 2015, Honolulu.
Organizers
Jason Stein, UCLA; Jean-Baptiste Poline, Berkeley; and Thomas Nichols, University of Warwick
Description
This course will introduce the fundamentals of “Imaging Genetics,” the process of modeling and understanding how genetic variation influences the structure and function of the human brain as measured through brain imaging. The course begins with a lecture on the fundamentals of genetics, including the types of variation observed in the human, the mechanism by which that variation develops, and understanding how to relate genetic variation to a measured phenotype. We will then delve more into applications of genetics to neuroimaging phenotypes with an overview of imaging phenotypes. We will provide the student with modern tools to perform associations to both common and rare variation, conduct imputation and meta-analysis, and interpret significant findings. Overall this course will provide the neuroimager who is not familiar with genetics techniques both theoretical and practical understanding of the genetics field when exploring neuroimaging phenotypes.
Talks
- Structure, Measurement & Analysis of Genetic Variation
Sven Cichon, Research Center Jülich, Jülich, German - Neuroimaging Phenotypes & Heritability
Roberto Toro, CNRS URA 2182 ‘Genes, synapses and cognition’, Paris, France - Reproducibility of Imaging Genetics Findings: Power, candidate genes and other issues
Jean-Baptiste Poline, Helen Wills Neuroscience Institute, University of California at Berkeley, USA - Searching for common variants
Derrek Hibar, University of Southern California, Los Angeles, CA, USA - Imputation & Meta-Analysis
Sarah Medland, Queensland Institute of Medical Research, Brisbane, Australia - Rare variant discovery using family based studies
David Glahn, Yale University, New Haven, CT, USA
John Blangero, Texas Biomedical Foundation, San Antonio, TX, USA - After the association: Functional and Biological Validation of Variants
Jason Stein, University of California, Los Angeles, Los Angeles, CA, USA