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The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study
Background: Suicidal behaviour (SB) refers to behaviours, ranging from non-fatal suicidal behaviour, such as suicidal ideation and attempt, to completed suicide. Despite recent advancements in genomic technology and statistical methods, it is unclear to what extent the spectrum of suicidal behaviour...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028147/ https://www.ncbi.nlm.nih.gov/pubmed/36959830 http://dx.doi.org/10.3389/fgene.2023.1083969 |
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author | Kootbodien, Tahira London, Leslie Martin, Lorna J. Defo, Joel Ramesar, Raj |
author_facet | Kootbodien, Tahira London, Leslie Martin, Lorna J. Defo, Joel Ramesar, Raj |
author_sort | Kootbodien, Tahira |
collection | PubMed |
description | Background: Suicidal behaviour (SB) refers to behaviours, ranging from non-fatal suicidal behaviour, such as suicidal ideation and attempt, to completed suicide. Despite recent advancements in genomic technology and statistical methods, it is unclear to what extent the spectrum of suicidal behaviour is explained by shared genetic aetiology. Methods: We identified nine genome-wide association statistics of suicidal behaviour (sample sizes, n, ranging from 62,648 to 125,844), ten psychiatric traits [n up to 386,533] and collectively, nine summary datasets of anthropometric, behavioural and socioeconomic-related traits [n ranging from 58,610 to 941,280]. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling, identified shared biological processes and pathways between suicidal behaviour and psychiatric disorders and evaluated potential causal associations using Mendelian randomisation. Results: Among populations of European ancestry, we observed strong positive genetic correlations between suicide ideation, attempt and self-harm (rg range, 0.71–1.09) and moderate to strong genetic correlations between suicidal behaviour traits and a range of psychiatric disorders, most notably, major depression disorder (rg = 0.86, p = 1.62 × 10(−36)). Multivariate analysis revealed a common factor structure for suicidal behaviour traits, major depression, attention deficit hyperactivity disorder (ADHD) and alcohol use disorder. The derived common factor explained 38.7% of the shared variance across the traits. We identified 2,951 genes and 98 sub-network hub genes associated with the common factor, including pathways associated with developmental biology, signal transduction and RNA degradation. We found suggestive evidence for the protective effects of higher household income level on suicide attempt [OR = 0.55 (0.44–0.70), p = 1.29 × 10(−5)] and while further investigation is needed, a nominal significant effect of smoking on suicide attempt [OR = 1.24 (1.04–1.44), p = 0.026]. Conclusion: Our findings provide evidence of shared aetiology between suicidal behaviour and psychiatric disorders and indicate potential common molecular mechanisms contributing to the overlapping pathophysiology. These findings provide a better understanding of the complex genetic architecture of suicidal behaviour and have implications for the prevention and treatment of suicidal behaviour. |
format | Online Article Text |
id | pubmed-10028147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100281472023-03-22 The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study Kootbodien, Tahira London, Leslie Martin, Lorna J. Defo, Joel Ramesar, Raj Front Genet Genetics Background: Suicidal behaviour (SB) refers to behaviours, ranging from non-fatal suicidal behaviour, such as suicidal ideation and attempt, to completed suicide. Despite recent advancements in genomic technology and statistical methods, it is unclear to what extent the spectrum of suicidal behaviour is explained by shared genetic aetiology. Methods: We identified nine genome-wide association statistics of suicidal behaviour (sample sizes, n, ranging from 62,648 to 125,844), ten psychiatric traits [n up to 386,533] and collectively, nine summary datasets of anthropometric, behavioural and socioeconomic-related traits [n ranging from 58,610 to 941,280]. We calculated the genetic correlation among these traits and modelled this using genomic structural equation modelling, identified shared biological processes and pathways between suicidal behaviour and psychiatric disorders and evaluated potential causal associations using Mendelian randomisation. Results: Among populations of European ancestry, we observed strong positive genetic correlations between suicide ideation, attempt and self-harm (rg range, 0.71–1.09) and moderate to strong genetic correlations between suicidal behaviour traits and a range of psychiatric disorders, most notably, major depression disorder (rg = 0.86, p = 1.62 × 10(−36)). Multivariate analysis revealed a common factor structure for suicidal behaviour traits, major depression, attention deficit hyperactivity disorder (ADHD) and alcohol use disorder. The derived common factor explained 38.7% of the shared variance across the traits. We identified 2,951 genes and 98 sub-network hub genes associated with the common factor, including pathways associated with developmental biology, signal transduction and RNA degradation. We found suggestive evidence for the protective effects of higher household income level on suicide attempt [OR = 0.55 (0.44–0.70), p = 1.29 × 10(−5)] and while further investigation is needed, a nominal significant effect of smoking on suicide attempt [OR = 1.24 (1.04–1.44), p = 0.026]. Conclusion: Our findings provide evidence of shared aetiology between suicidal behaviour and psychiatric disorders and indicate potential common molecular mechanisms contributing to the overlapping pathophysiology. These findings provide a better understanding of the complex genetic architecture of suicidal behaviour and have implications for the prevention and treatment of suicidal behaviour. Frontiers Media S.A. 2023-03-07 /pmc/articles/PMC10028147/ /pubmed/36959830 http://dx.doi.org/10.3389/fgene.2023.1083969 Text en Copyright © 2023 Kootbodien, London, Martin, Defo and Ramesar. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Kootbodien, Tahira London, Leslie Martin, Lorna J. Defo, Joel Ramesar, Raj The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study |
title | The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study |
title_full | The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study |
title_fullStr | The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study |
title_full_unstemmed | The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study |
title_short | The shared genetic architecture of suicidal behaviour and psychiatric disorders: A genomic structural equation modelling study |
title_sort | shared genetic architecture of suicidal behaviour and psychiatric disorders: a genomic structural equation modelling study |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028147/ https://www.ncbi.nlm.nih.gov/pubmed/36959830 http://dx.doi.org/10.3389/fgene.2023.1083969 |
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