| 1. |
- Docherty, Anna R, et al.
(author)
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GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors.
- 2023
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In: The American journal of psychiatry. - : American Psychiatric Association Publishing. - 1535-7228 .- 0002-953X. ; 180:10, s. 723-738
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Journal article (peer-reviewed)abstract
- Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and cross-validated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS meta-analysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures.This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses.Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values <5×10-8. These loci were mostly intergenic and implicated DRD2, SLC6A9, FURIN, NLGN1, SOX5, PDE4B, and CACNG2. The multi-ancestry SNP-based heritability estimate of SA was 5.7% on the liability scale (SE=0.003, p=5.7×10-80). Significant brain tissue gene expression and drug set enrichment were observed. There was shared genetic variation of SA with attention deficit hyperactivity disorder, smoking, and risk tolerance after conditioning SA on both major depressive disorder and posttraumatic stress disorder. Genetic causal proportion analyses implicated shared genetic risk for specific health factors.This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death.
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| 2. |
- Mullins, Niamh, et al.
(author)
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Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors
- 2022
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In: Biological Psychiatry. - : Elsevier. - 0006-3223 .- 1873-2402. ; 91:3, s. 313-327
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Journal article (peer-reviewed)abstract
- BACKGROUND: Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders.METHODS: We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors.RESULTS: Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged.CONCLUSIONS: Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.
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| 3. |
- Kalisova, Lucie, et al.
(author)
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Do patient and ward-related characteristics influence the use of coercive measures? : Results from the EUNOMIA international study
- 2014
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In: Social Psychiatry and Psychiatric Epidemiology. - : Springer. - 0933-7954 .- 1433-9285. ; 49:10, s. 1619-1629
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Journal article (peer-reviewed)abstract
- This study aims to identify whether selected patient and ward-related factors are associated with the use of coercive measures. Data were collected as part of the EUNOMIA international collaborative study on the use of coercive measures in ten European countries.Involuntarily admitted patients (N = 2,027) were divided into two groups. The first group (N = 770) included patients that had been subject to at least one of these coercive measures during hospitalization: restraint, and/or seclusion, and/or forced medication; the other group (N = 1,257) included patients who had not received any coercive measure during hospitalization. To identify predictors of use of coercive measures, both patients' sociodemographic and clinical characteristics and centre-related characteristics were tested in a multivariate logistic regression model, controlled for countries' effect.The frequency of the use of coercive measures varied significantly across countries, being higher in Poland, Italy and Greece. Patients who received coercive measures were more frequently male and with a diagnosis of psychotic disorder (F20-F29). According to the regression model, patients with higher levels of psychotic and hostility symptoms, and of perceived coercion had a higher risk to be coerced at admission. Controlling for countries' effect, the risk of being coerced was higher in Poland. Patients' sociodemographic characteristics and ward-related factors were not identifying as possible predictors because they did not enter the model.The use of coercive measures varied significantly in the participating countries. Clinical factors, such as high levels of psychotic symptoms and high levels of perceived coercion at admission were associated with the use of coercive measures, when controlling for countries' effect. These factors should be taken into consideration by programs aimed at reducing the use of coercive measures in psychiatric wards.
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| 4. |
- Petkari, Eleni, et al.
(author)
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Acute psychopathology as a predictor of global functioning in patients with ICD-10 non-affective psychosis : a prospective study in 11 European countries
- 2011
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In: Schizophrenia Research. - : Elsevier BV. - 0920-9964 .- 1573-2509. ; 131:1-3, s. 105-111
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Journal article (peer-reviewed)abstract
- This prospective analysis aimed to study the influence of psychopathological dimensions on the global functioning of persons suffering from psychotic disorders, taking into account the role of a broad range of potential confounders. A large international cohort (n = 1888) with ICD-10 non-affective psychosis was evaluated both at baseline during a hospital admission and three months after discharge. Trained interviewers administered a global functioning scale (GAF) and a psychopathological scale (BPRS) at baseline and follow-up). Baseline BPRS psychopathological dimensions were extracted using Principal Component Analysis. Results of multiple linear regression analyses demonstrated that affective symptoms (depressive or manic) prospectively predict a better global functioning, whilst agitation/cognitive symptoms determined poorer global functioning. Other predictors showing an independent effect on better global functioning were medication compliance, country of residence, female gender, married or coupled status, younger age and having a diagnosis of schizoaffective disorder rather than schizophrenia or other ICD-10 psychosis. A predicting model for global functioning in patients with psychosis is provided, showing that assessment of affective and agitation/cognitive symptoms should be emphasised during admission as they can be more informative than positive/negative symptoms in prospectively planning follow-up care that is geared towards a better functional recovery. (C) 2011 Elsevier B.V. All rights reserved.
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