Publications by authors named "Kevin Y Sun"
Article Synopsis
- The study investigates how genetic factors and brain network organization relate to overall mental health in early adolescence, focusing on polygenic risk scores (PRSs) that predict psychiatric conditions.
- Conducted as part of the Adolescent Brain Cognitive Development (ABCD) Study, it analyzes baseline data collected from over 11,000 participants across the U.S. during 2017-2018.
- The research aims to link specific PRSs for common and rare psychiatric disorders to personalized functional brain networks and overall psychopathology in youth.
Article Synopsis
- * Using data from over 6,000 youths, researchers applied advanced analytical techniques to identify and classify sex differences in personalized functional networks.
- * Findings reveal that significant differences exist in brain network topography related to sex, particularly in specific brain networks, and these differences correlate with the expression of certain genes, especially X-linked genes.
Article Synopsis
- Childhood development is significantly influenced by both genetic factors, including common variants and rare copy number variants (CNVs), and environmental factors, which impact mental health and cognitive abilities.
- The ABCD study examines over 11,875 youth aged 9 to 10, focusing on the relationship between CNVs and various aspects of child psychopathology and cognitive function across the US.
- Researchers used advanced algorithms to identify CNVs and analyze their association with psychiatric symptoms and cognitive outcomes in a final sample of 8,564 individuals, aiming to understand genetic influences on child development.
Article Synopsis
- * The study investigates how various interlinked features of a child's environment, called the "exposome," relate to their unique brain network organization and cognitive abilities using advanced computational models.
- * Results from over 10,000 children show that the exposome is associated with both current and future cognitive performance, indicating that a holistic view of children's environments is crucial for predicting cognitive outcomes, even more so than detailed neuroimaging data.
Both psychiatric vulnerability and cortical structure are shaped by the cumulative effect of common genetic variants across the genome. However, the shared genetic underpinnings between psychiatric disorders and brain structural phenotypes, such as thickness and surface area of the cerebral cortex, remains elusive. In this study, we employed pleiotropy-informed conjunctional false discovery rate analysis to investigate shared loci across genome-wide association scans of regional cortical thickness, surface area, and seven psychiatric disorders in approximately 700,000 individuals of European ancestry.
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