@article{ref1,
title="Genomics-driven screening for causal determinants of suicide attempt",
journal="Australian and New Zealand journal of psychiatry",
year="2022",
author="Campos, Adrian I. and García-Marín, Luis M. and Christensen, Helen and Batterham, Philip J. and van Velzen, Laura S. and Schmaal, Lianne and Rabinowitz, Jill A. and Jahanshad, Neda and Martin, Nicholas G. and Cuellar-Partida, Gabriel and Ruderfer, Douglas and Mullins, Niamh and Renteria, Miguel E.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
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. <br><br>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. <br><br>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. <br><br>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.<p /> <p>Language: en</p>",
language="en",
issn="0004-8674",
doi="10.1177/00048674221091499",
url="http://dx.doi.org/10.1177/00048674221091499"
}