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Genomics-driven screening for causal determinants of suicide attempt.
Campos, Adrian I; Garcia-Marin, Luis M; Christensen, Helen; Batterham, Philip J; van Velzen, Laura S; Schmaal, Lianne; Rabinowitz, Jill A; Jahanshad, Neda; Martin, Nicholas G; Cuellar-Partida, Gabriel; Ruderfer, Douglas; Mullins, Niamh; Rentería, Miguel E.
Afiliação
  • Campos AI; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
  • Garcia-Marin LM; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD Australia.
  • Christensen H; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
  • Batterham PJ; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD Australia.
  • van Velzen LS; Black Dog Institute, University of New South Wales, Sydney, NSW, Australia.
  • Schmaal L; Centre for Mental Health Research, Research School of Population Health, Australian National University, Canberra, ACT, Australia.
  • Rabinowitz JA; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Jahanshad N; Orygen, Parkville, VIC, Australia.
  • Martin NG; Centre for Youth Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
  • Ruderfer D; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Mullins N; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina Del Rey, CA, USA.
  • Rentería ME; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Aust N Z J Psychiatry ; 57(3): 423-431, 2023 03.
Article em En | MEDLINE | ID: mdl-35403454
ABSTRACT

OBJECTIVE:

Each year, around one million people die by suicide. Despite its recognition as a public health concern, large-scale research on causal determinants of suicide attempt risk is scarce. Here, we leverage results from a recent genome-wide association study (GWAS) of suicide attempt to perform a data-driven screening of traits causally associated with suicide attempt.

METHODS:

We performed a hypothesis-generating phenome-wide screening of causal relationships between suicide attempt risk and 1520 traits, which have been systematically aggregated on the Complex-Traits Genomics Virtual Lab platform. We employed the latent causal variable (LCV) method, which uses results from GWAS to assess whether a causal relationship can explain a genetic correlation between two traits. If a trait causally influences another one, the genetic variants that increase risk for the causal trait will also increase the risk for the outcome inducing a genetic correlation. Nonetheless, a genetic correlation can also be observed when traits share common pathways. The LCV method can assess whether the pattern of genetic effects for two genetically correlated traits support a causal association rather than a shared aetiology.

RESULTS:

Our approach identified 62 traits that increased risk for suicide attempt. Risk factors identified can be broadly classified into (1) physical health disorders, including oesophagitis, fibromyalgia, hernia and cancer; (2) mental health-related traits, such as depression, substance use disorders and anxiety; and (3) lifestyle traits including being involved in combat or exposure to a war zone, and specific job categories such as being a truck driver or machine operator.

CONCLUSIONS:

Suicide attempt risk is likely explained by a combination of behavioural phenotypes and risk for both physical and psychiatric disorders. Our results also suggest that substance use behaviours and pain-related conditions are associated with an increased suicide attempt risk, elucidating important causal mechanisms that underpin this significant public health problem.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tentativa de Suicídio / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Aust N Z J Psychiatry Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tentativa de Suicídio / Estudo de Associação Genômica Ampla Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Aust N Z J Psychiatry Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália