Wednesday, November 20, 2019
8:30 am – 6:00 pm
Location: Jeanne Timmins Amphitheatre @ The Neuro, 3801 University St, Montréal, QC, H3A 2B4 – Wheelchair accessible.
POSTER SESSION: Click here to register to present your scientific poster. Please plan to attend the symposium.
HACKATHON: Click here to register for the Hackathon on the following day (Thursday, Nov. 21): Open Science in Action: Approaches to Genetics, Brain Imaging & Polygenic Risk Score
Genome-wide association studies (GWAS) have uncovered multiple genetic variants implicated in normal brain function (e.g. educational attainment), neurological illness (e.g. Parkinson’s Disease), and mental illness (e.g. schizophrenia), enabling the development of polygenic risk scores (PRS). Large data-sharing initiatives and novel methodologies for brain imaging analysis are also advancing understanding of brain disorders. This symposium brings together experts in genetics, GWAS, PRS, brain function and neuroimaging.
Organizer: Dr Alain Dagher and the Ludmer Centre for Neuroinformtics & Mental Health
Open & Download PDF Program click here: Each speakers will present for 30 minutes followed by 15-minute Q&A.
Confirmed Speakers, Program
Alain Dagher, MD: Professor, Neurology and Neurosurgery at McGill University and Neurologist at The Neuro, Montreal, Canada
Talk: Introduction: Polygenic Scores & Brain Imaging
Dr Dagher is a neurologist specializing in movement disorders and functional brain imaging. His research aims to understand the function of the basal ganglia, with a particular emphasis on appetitive behaviours. He employs various neuroimaging techniques to examine pathological states related to a disruption in dopamine function, from motor disease (Parkinson’s) to addictive disorders (gambling, smoking, obesity).
Daniel Benjamin, PhD. Professor (Research), Center for Economic and Social Research and Economics Department, University of Southern California, USA.
Talk: Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
Dr Benjamin’s research in behavioral economics and genoeconomics explores errors people make in statistical reasoning; how to use subjective survey measures to track national well-being and evaluate policies; genetic variants associated with outcomes (edu. attainment, subjective well-being), and how economic behavior relates to cognitive ability and social identity (e.g., race, gender, religion). He is one of the principal investigators and co-founders of the Social Science Genetic Association Consortium (SSGAC).
Alicia Martin, PhD, Instructor in Investigation, Analytic & Translational Genetics Unit, Massachusetts General Hospital; Instructor in Medicine, Harvard Medical School, and Associated Scientist, Broad Institute, Boston, MA, USA.
Talk: Polygenic risk scores in diverse populations
A population and statistical geneticist, her research examines the role of human history in shaping global genetic and phenotypic diversity. Given vast Eurocentric study biases, she investigates the generalizability of knowledge gained from large-scale genetic studies across globally diverse populations. She is developing statistical methods and resources for multi-ethnic studies and underrepresented populations. A member of SSGAC, her research includes PRS and social/economics measures utilising UK Biobank data.
Philipp Koellinger, PhD, Professor of Genoeconomics, Economics Department, School of Business and Economics, Vrije Universiteit Amsterdam
Talk: Genetic insights into risky behaviors and their links with health
Dr Koellinger’s research investigates how genes influence economic behavior, and how insights into the genetic architecture of behavioral outcomes can inform social and medical research. He is one of the principal investigators and co-founders of the SSGAC, the Externalizing Consortium, and the BIG BEAR Consortium. His research includes PRS and social/economics measures utilising UK Biobank data.
Gideon Nave, PhD, Assistant Professor, Marketing, Wharton School and the Wharton Neuroscience Initiative (WiN), University of Pennsylvania, USA
Talk: Neuroanatomic Differences Partly Mediate Genetic Associations with Risk Tolerance
Dr Nave’s research uses a medley of quantitative and experimental methods from the fields of Computational Neuroscience, Cognitive Psychology, Game Theory, and Machine Learning to reverse-engineer the decision-making process in humans. Dr Nave leverages these and merging biomedical innovations (MRI, genotyping, hormonal assays quantify the biological processes that shape preferences, cognition and decision-making). A member of SSGAC, his research includes PRS and social/economics measures utilising UK Biobank data.
Patricia Pelufo Silveira, MD, MSc, PhD: Assistant Professor, Department of Psychiatry, McGill U.; Researcher, Douglas Mental Health University Institute; Scientific Director (INT), Ludmer Centre for Neuroinformatics & Mental Health
Talk: Biologically informed polygenic scores – exploring the effects of gene networks
Dr Silveira, a paediatrician and neuroscientist, leads research on the interaction between genetics and environmental adversities in childhood, and its effects on endophenotypes and the lifetime risk for disease. She recently developed a biologically-informed PRS to understand the co-morbidity between metabolic and psychiatric diseases in the context of an early-life-adversity focuses on gene networks –rather than single SNPs or genes– as the unit of interest.
Hugh Garavan, PhD, Associate Professor, Department of Psychology/Psychiatry, University of Vermont, USA
Title: Gene-brain associations and substance use in the Open Science Era.
Dr Garavan’s research applies functional brain imaging to understanding human cognition. He has a specific interest in the cognitive control functions performed by the prefrontal cortex and how their dysfunction might be relevant for clinical conditions such as addiction. His research utilised large brain/gene datasets including the EU IMAGEN and Adolescent Brain Cognitive Development (ABCD) studies.
Uku Vainik, PhD, Research Fellow, Department of Experimental Psychology, Institute of Psychology, University of Tartu, Estonia
Title: Obesity causes personality – evidence from polygenic scores and twins
Dr Vainik researches focuses on genetics, brain imaging and heritability in pursuit of precise measurements of impulsivity and self-control. His current research centers on how obesity intertwines with behaviour. While many eating-related behaviours explaining obesity, such as food addiction, disinhibition and emotional eating, are based on both statistics and definitions, his research suggest that these behaviours can be aggregated into a single broad trait – Uncontrolled Eating, which he found summarises important behavioural aspects of obesity.
David Glahn, PhD, Associate Chief for Research, Depart of Psychiatry; Director, Tommy Fuss Center for Neuropsychiatric Disease Research; Director, Early Psychosis Investigation Center; Director, Neuropsychiatric Genetics Program; Endowed chair in Behavioral Science Research, Boston Children’s Hospital; and Professor, Psychology, Department of Psychiatry, Harvard Medical School
Title: The good the bad and the ugly of polygenic scores for risk prediction
Dr Glahn’s research aims to discover genes and environmental mechanisms that predispose affective and psychotic disorders in children and adults. He develops and applies neuroanatomic, functional neuroimaging, and neurocognitive endophenotypes in large-scale family-based studies. PRS methods underpin his research.
Sponsored by Dr Alan Dagher and:
For more information, contact Joanne Clark at info@LudmerCentre.ca