4.7 Article

Understanding the relationship between loneliness, substance use traits and psychiatric disorders: A genetically informed approach

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PSYCHIATRY RESEARCH
卷 325, 期 -, 页码 -

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.psychres.2023.115218

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Genetics; Mendelian randomization; Genomic structural equation modelling; Depression; Neurodevelopmental disorders Mood disorders

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Loneliness is associated with adverse outcomes, including substance use problems and psychiatric disorders. This study used Genomic Structural Equation Modeling to investigate the genetic architecture between loneliness and psychiatric-behavioral traits. The results suggest a bidirectional causal relationship between a genetic predisposition to loneliness and neurodevelopmental/mood conditions. These findings emphasize the importance of addressing loneliness in mental health prevention and policy.
Loneliness is a common, yet distressing experience associated with adverse outcomes including substance use problems and psychiatric disorders. To what extent these associations reflect genetic correlations and causal relationships is currently unclear. We applied Genomic Structural Equation Modelling (GSEM) to dissect the genetic architecture between loneliness and psychiatric-behavioural traits. Included were summary statistics from 12 genome-wide association analyses, including loneliness and 11 psychiatric phenotypes (range N: 9,537 - 807,553). We first modelled latent genetic factors amongst the psychiatric traits to then investigate potential causal effects between loneliness and the identified latent factors, using multivariate genome-wide association analyses and bidirectional Mendelian randomization. We identified three latent genetic factors, encompassing neurodevelopmental/mood conditions, substance use traits and disorders with psychotic features. GSEM pro-vided evidence of a unique association between loneliness and the neurodevelopmental/mood conditions latent factor. Mendelian randomization results were suggestive of bidirectional causal effects between loneliness and the neurodevelopmental/mood conditions factor. These results imply that a genetic predisposition to loneliness may elevate the risk of neurodevelopmental/mood conditions, and vice versa. However, results may reflect the difficulty of distiguishing between loneliness and neurodevelopmental/mood conditions, which present in similar ways. We suggest, overall, the importance of addressing loneliness in mental health prevention and policy.

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