| Title: | Symptom-level modelling unravels the shared genetic architecture of anxiety and depression |
| Journal: | Nature Human Behaviour |
| Published: | 15 Apr 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/33859377/ |
| DOI: | https://doi.org/10.1038/s41562-021-01094-9 |
| Citations: | 62 (43 in last 2 years) as of 8 Aug 2024 |
Publication 5791
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Abstract
Depression and anxiety are highly prevalent and comorbid psychiatric traits that cause considerable burden worldwide. Here we use factor analysis and genomic structural equation modelling to investigate the genetic factor structure underlying 28 items assessing depression, anxiety and neuroticism, a closely related personality trait. Symptoms of depression and anxiety loaded on two distinct, although highly genetically correlated factors, and neuroticism items were partitioned between them. We used this factor structure to conduct genome-wide association analyses on latent factors of depressive symptoms (89 independent variants, 61 genomic loci) and anxiety symptoms (102 variants, 73 loci) in the UK Biobank. Of these associated variants, 72% and 78%, respectively, replicated in an independent cohort of approximately 1.9 million individuals with self-reported diagnosis of depression and anxiety. We use these results to characterize shared and trait-specific genetic associations. Our findings provide insight into the genetic architecture of depression and anxiety and comorbidity between them.</p>
11 Keywords
- Anxiety
- Behavioral Symptoms
- Comorbidity
- Depression
- Factor Analysis, Statistical
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Latent Class Analysis
- Neuroticism
- Symptom Assessment
14 Authors
- Jackson G. Thorp
- Adrian I. Campos
- Andrew D. Grotzinger
- Zachary F. Gerring
- Jiyuan An
- Jue-Sheng Ong
- Wei Wang
- Suyash Shringarpure
- Enda M. Byrne
- Stuart MacGregor
- Nicholas G. Martin
- Sarah E. Medland
- Christel M. Middeldorp
- Eske M. Derks
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