medRxivGenetic & Genomic MedicinePreprint
Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights
Sarah M. C. ColbertiD, Maria KorominaiD, Alexander S Hatoum, Mallory Stephenson, Alexis C. EdwardsiD, Emma C. JohnsoniD, Xuejun QiniD, Andrey A Shabalin, Lucas T Ito, Kevin S O’Connell, Arvid HarderiD, Jens Hjerling-Leffler, Min Ji Kim, Ikuo OtsukaiD, Laura Vilar‐RibóiD, Arpana Agrawal AiD, Martin AldaiD, Lars Alfredsson, Fazil AlıeviD, Till FM Andlauer, Celso ArangoiD, Arnoud Roger ArntziD, Swapnil AwasthiiD, Olatunde O Ayinde, Silviu-Alin Bacanu, , Bharath HollaiD
- Citations
- 4
Abstract
Suicidality contributes substantially to global morbidity and mortality, yet despite its heritability, its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
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