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Genomics-driven scr...
Genomics-driven screening for causal determinants of suicide attempt
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Campos, AI (författare)
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Garcia-Marin, LM (författare)
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Christensen, H (författare)
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Batterham, PJ (författare)
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van Velzen, LS (författare)
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Schmaal, L (författare)
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Rabinowitz, JA (författare)
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Jahanshad, N (författare)
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Martin, NG (författare)
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Cuellar-Partida, G (författare)
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Ruderfer, D (författare)
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Mullins, N (författare)
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Renteria, ME (författare)
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- 2022-04-11
- 2023
- Engelska.
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Ingår i: The Australian and New Zealand journal of psychiatry. - : SAGE Publications. - 1440-1614 .- 0004-8674. ; 57:3, s. 423-431
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http://kipublication...
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https://doi.org/10.1...
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Abstract
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- 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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Campos, AI
-
Garcia-Marin, LM
-
Christensen, H
-
Batterham, PJ
-
van Velzen, LS
-
Schmaal, L
-
visa fler...
-
Rabinowitz, JA
-
Jahanshad, N
-
Martin, NG
-
Cuellar-Partida, ...
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Ruderfer, D
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Mullins, N
-
Renteria, ME
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visa färre...
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The Australian a ...
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Karolinska Institutet