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Can I read A Structural Brain Network of Genetic Vulnerability to Psychiatric Illness on EtoBox?

A Structural Brain Network of Genetic Vulnerability to Psychiatric Illness by Maxime Taquet; Stephen M. Smith; Anna K. Prohl; Jurriaan M. Peters; Simon K. Warfield; Benoit Scherrer; Paul J. Harrison is a Neuroscience article available to read on EtoBox.

What is A Structural Brain Network of Genetic Vulnerability to Psychiatric Illness about?

## Abstract Psychiatry is undergoing a paradigm shift from the acceptance of distinct diagnoses to a representation of psychiatric illness that crosses diagnostic boundaries. How this transition is supported by a shared neurobiology remains largely unknown. In this study, we first identify single nucleotide polymorphisms (SNPs) associated with psychiatric disorders based on 136 genome-wide association studies. We then conduct a joint analysis of these SNPs and brain structural connectomes in 678 healthy children in the PING study. We discovered a strong, robust, and transdiagnostic mode of genome–connectome covariation which is positively and specifically correlated with genetic risk for psychiatric illness at the level of individual SNPs. Similarly, this mode is also significantly positively correlated with polygenic risk scores for schizophrenia, alcohol use disorder, major depressive disorder, a combined bipolar disorder-schizophrenia phenotype, and a broader cross-disorder phenotype, and significantly negatively correlated with a polygenic risk score for educational attainment. The resulting “vulnerability network” is shown to mediate the influence of genetic risks onto behavio

Who reads A Structural Brain Network of Genetic Vulnerability to Psychiatric Illness?

It is typically read by researchers, students, and practitioners in Neuroscience.

Author
Maxime Taquet; Stephen M. Smith; Anna K. Prohl; Jurriaan M. Peters; Simon K. Warfield; Benoit Scherrer; Paul J. Harrison
Publisher
Nature Publishing Group; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1359-4184)
Published
2020
Language
EN
Field
Neuroscience (Life Sciences)

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