medRxivGenetic & Genomic MedicinePreprint
Genome-wide analyses of quantitative generalised anxiety symptom severity
Megan SkeltoniD, Brittany L. MitchelliD, Elham AssaryiD, Danyang LiiD, Geneviève Morneau‐VaillancourtiD, Alan E MurphyiD, Abigail ter KuileiD, Rujia WangiD, Mark J. AdamsiD, Enda M. ByrneiD, Elizabeth C. CorfieldiD, Poppy Zenzi GrimesiD, Laurie J. HanniganiD, Jihua HuiD, Kadri KõiviD, Alex S. F. KwongiD, Sergi PapioliD, Johanne Hagen PetterseniD, Giorgio PistisiD, Enrique CastelaoiD, Nora I. StromiD, Peter J. van der MostiD, GLAD+ authors, Lifelines Cohort Study, NIHR Bioresource, , Thalia Catherine EleyiD
Abstract
We performed a genome-wide association meta-analysis of generalised anxiety symptom severity in 693,869 individuals of European ancestry from 14 cohorts. We identified 80 independent genome-wide significant variants within 74 loci, 39 of which were novel for anxiety. SNP-based heritability was 5.9% (SE = 0.15%). Polygenic scores were significantly associated with anxiety symptom severity and disorder in European, African, and South Asian ancestry samples (r2=1.2%-2.9%). Significant genetic correlations were estimated with numerous mental and physical health traits, including case-control anxiety, neuroticism and depression (rg=0.71-0.86), irritable bowel syndrome (rg=0.57), coronary artery disease, endometriosis, and migraine (rg=0.20-0.27). Gene-based and pathway analyses implicated synaptic and axonal processes, with enriched expression in the brain. These findings highlight the additional value of a quantitative approach in anxiety genetics.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 2
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