Project 458617

Investigating the Impact of Autism Genetic Liability on Cortical Morphology

458617

Investigating the Impact of Autism Genetic Liability on Cortical Morphology

$105,000
Project Information
Study Type: Unclear
Research Theme: Clinical
Institution & Funding
Principal Investigator(s): Ziolkowski, Justine
Supervisor(s): Chakravarty, Megha M
Institution: McGill University
CIHR Institute: Human Development, Child and Youth Health
Program: Doctoral Research Award: Canada Graduate Scholarships
Peer Review Committee: Doctoral Research Awards - B
Competition Year: 2021
Term: 3 yrs 0 mth
Abstract Summary

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social communication difficulties and restricted/repetitive behaviours and interests. There has been substantial difficulty in understanding how the biological mechanisms of ASD influence one another at different levels of organization, as well as their effects on behaviour, cognition, and clinical presentation. A key obstacle may be the reliance on study designs that seek to identify differences between individuals diagnosed with ASD and typically developing controls. This approach is based on the assumption that any biological signatures found in ASD do not exist in the general population. However, such a view has received limited empirical support. Therefore, the present study aims to explore the presence of genetic susceptibility to ASD in a normative sample of subjects, then link these risk factors to brain structure and behaviour. To do so, a large and diverse pool of 11,878 participants aged 9 and 10 years old will be used. Polygenic risk scores, which represent genetic risk for ASD, will be examined in relation to various dimensions of brain structure as well as characteristics such as sex, gender, age, and performance on various cognitive and social functioning assessments. The findings of this study would ultimately help us understand whether certain features of ASD can be thought of as traits along a spectrum of normal variation. This would have critical implications on theoretical perspectives of ASD and would help guide future diagnostic and treatment efforts.

No special research characteristics identified

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Keywords
Autism Spectrum Disorder Computational Neuroscience Genetic Liability Magnetic Resonance Imaging