GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors.
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2023-10
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Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and cross-validated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS meta-analysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures.Methods
This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses.Results
Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values <5×10-8. These loci were mostly intergenic and implicated DRD2, SLC6A9, FURIN, NLGN1, SOX5, PDE4B, and CACNG2. The multi-ancestry SNP-based heritability estimate of SA was 5.7% on the liability scale (SE=0.003, p=5.7×10-80). Significant brain tissue gene expression and drug set enrichment were observed. There was shared genetic variation of SA with attention deficit hyperactivity disorder, smoking, and risk tolerance after conditioning SA on both major depressive disorder and posttraumatic stress disorder. Genetic causal proportion analyses implicated shared genetic risk for specific health factors.Conclusions
This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death.Type
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Docherty, Anna R, Niamh Mullins, Allison E Ashley-Koch, Xuejun Qin, Jonathan RI Coleman, Andrey Shabalin, JooEun Kang, Balasz Murnyak, et al. (2023). GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors. The American journal of psychiatry, 180(10). pp. 723–738. 10.1176/appi.ajp.21121266 Retrieved from https://hdl.handle.net/10161/30067.
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Scholars@Duke
Allison Elizabeth Ashley-Koch
My work focuses on the dissection of human traits using multi-omic technologies (genetics, epigenetics, metabolomics and proteomics). I am investigating the basis of several neurological and psychiatric conditions such as neural tube defects and post-traumatic stress disorder. I also study modifiers of sickle cell disease.
Elizabeth Rebecca Hauser
The incorporation of personalized medicine to all areas of human health represents a turning point for human genetics studies, a point at which the discoveries made have real implications for clinical medicine. It is important for students to gain experience in how human genetics studies are conducted and how results of those studies may be used. As a statistical geneticist and biostatistician my research interests are focused on developing and applying statistical methods to search for genes causing common human diseases. My research programs combine development and application of statistical methods for genetic studies, with a particular emphasis on understanding the joint effects of genes and environment.
These studies I work on cover diverse areas in biomedicine but are always collaborative, with the goal of bringing robust data science and statistical methods to the project. Collaborative studies include genetic and ‘omics studies of cardiovascular disease, health effects of air pollution, genetic analysis of adherence to an exercise program, genetic analysis in evaluating colon cancer risk, genetic analysis of suicide, and systems biology analysis of Gulf War Illness.
Keywords: human genetics, genetic association, gene mapping, genetic epidemiology, statistical genetics, biostatistics, cardiovascular disease, computational biology, diabetes, aging, colon cancer, colon polyps, kidney disease, Gulf War Illness, exercise behavior, suicide
Michael Arthur Hauser
Dr. Hauser has a strong interest in ocular genetics. Genomic studies at the Center for Human Genetics have identified multiple linkage peaks and susceptibility genes in primary open angle glaucoma (POAG) and age related macular degeneration (AMD). Dr. Hauser has recently accepted a 20% appointment at the Singapore Eye Research INstitute and the Duke/National University of Singapore. In collaboration with multiple collaborators in Singapore, and Dr. Rand Allingham at the Duke Eye Center, Dr. Hauser is currently conducting a genome wide association study for glaucoma in individuals of African ancestry. These investigations include large datasets collected in Ghana, Nigeria, and South Africa.
Dr. Hauser is also involved in collaborative investigations into the genetics of post-tramatic stress disorder in US veterans from Iraq and Afghanistan. Major collaborators include Dr. Allison Ashley Koch, Dr. Jean Beckham, Dr. Christine Marx and the MIRECC Collaborative group at the Durham Veteran's Administration. We have published a genome wide association study, as well as numerous investigations into candidate genes. Epigenomic DNA methylation analysis and gene expression analysis of 3500 individuals is currently ongoing.
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