Introduction to Imaging Genetics educational course
A full-day educational course at the Organization for Human Brain Mapping meeting, 18 June, 2014, Hamburg.
Organizers
Jason Stein, UCLA; Thomas Nichols, University of Warwick; and Jean-Baptiste Poline, Neurospin
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 two lectures 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 and an introduction to both uni and multi-variate statistics for their analysis. Finally, we will explore how to combine datasets using meta-analysis. In the afternoon, we will have practical lectures introducing how to use software for analysis of heritability of imaging traits, association of common and rare variants to imaging traits, and meta-analysis across many sites. In addition, we will have a lecture on how to interpret the significance of genetic 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
- Molecular Basis of Genetic Variation and Structure and Analysis of Genetic Variation
Sven Cichon, University of Basel, Basel, Switzerland - Quantitative Traits: Heritability, Linkage & Association
Elliot Hong, University of Maryland, Baltimore, USA - Neuroimaging Phenotypes & Endophenotypes
Roberto Toro, CNRS, Paris, France - Univariate & Multivariate Approaches to Understand Imaging & Genetic Data
Vince Calhoun, University of New Mexico, Albuquerque, NM, USA - Imputation & Meta-Analysis
Thomas Nichols, University of Warwick, Coventry, United Kingdom - Reproducibility of Imaging Genetics Findings
Jean-Baptiste Poline, University of California at Berkeley, USA - Practical Heritability: Starting Genetic Imaging Analyses with SOLAR-Eclipse
Peter Kochunov, Maryland Psychiatric Research Center, Baltimore, MD, USA - Searching for Common Variants
Derrek Hibar, University of Southern California, Los Angeles, CA, USA - Practical Meta-analysis
Sarah Medland, Queensland Institute of Medical Research, Brisbane, Australia - Searching for Rare Variants
Kwangsik Nho, Indiana University, Indianapolis, IN, USA - Interpretation of Results
Jason Stein, University of California, Los Angeles, Los Angeles, CA, USA
On-line resources
- SOLAR-Eclipse Demo
- Signup for a HCP account: http://hcpx-demo.humanconnectome.org
- Univariate demo
- Bivariate demo