Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Suicide is an urgent public health crisis that claimed over 49,000 lives in the US in 2023. While genome-wide association studies of suicide are beginning to reveal genetic risk attributable to common variants with small effects on liability, these results explain only a fraction of the substantial proportion of risk due to genetics known to contribute to suicide mortality. As with other complex health conditions, some of this unexplained genetic risk is likely due to rarer variants with larger effects on liability. Using whole genome sequencing data from 1,054 population-ascertained suicide deaths from the Utah Suicide Mortality Research Study (USMRS) jointly processed with 1,230 controls, we investigated intragenic deletions as a class of genomic variation likely to disrupt gene function. To minimize false positives, deletions were limited to those found in large publicly available control datasets (1000 Genomes, GnomAD, and Centers for Common Disease Genomics) and where replication of deletions occurred across two cohorts within the USMRS suicides. Deletions meeting these filters were manually validated. Eleven deletions had at least 2-fold increase in frequency in suicide deaths vs. controls (range 2.28 to 4.46). Implicated genes were associated with mental health conditions ( MPST, IL4R, CDH13 ), epilepsy ( CLCA4 ), intellectual disability ( ZNF44 ), neuronal function ( OSBPL2 ), metabolic function ( FBOX36 ), lipid metabolism ( TM9SF3 ), immune functions ( PIPOX, IL4R ), and Alzheimer’s disease ( ZHX3, LMNTD1 ). Pending replication, these results may help prioritize biological pathways for future functional studies with the goal of increasing our understanding of risk mechanisms leading to suicide mortality.
Source: Research Square
Institutions: University of Utah, Utah Department of Health, University of Iowa
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
Funders: U.S. Department of Health and Human Services, American Foundation for Suicide Prevention, Utah Department of Health, Utah State University, University of Utah, National Alliance for Research on Schizophrenia and Depression, Huntsman Cancer Institute, National Institutes of Health, Center for Clinical and Translational Science, University of Utah, National Institute of Mental Health, National Cancer Institute, National Institute of Environmental Health Sciences, National Center for Research Resources, National Center for Advancing Translational Sciences
Awards: G2144921872, Genetic risk discovery using WGS from a population-based resource of 10,000 suicide deaths with DNA, G4610661507, G5555614831, G5952210540, G5988236331, Utah Center for Clinical and Translational Science, G655904142, Sharing statewide health data for genetic research, G8352323758, Prediction of suicide death using EHR and polygenic risk scores, The influence of multiple environmental exposures on suicide risk, Cancer Center Support Grant
OpenAlex ID: W7171396547
