Symptom-level modelling unravels the shared genetic architecture of anxiety and depression

Symptom-level modelling unravels the shared genetic architecture of anxiety and depression

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...

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Bibliographic Details
Main Authors: 23andMe Research Team (Author), An, J. (Author), Byrne, E.M (Author), Campos, A.I (Author), Derks, E.M (Author), Gerring, Z.F (Author), Grotzinger, A.D (Author), MacGregor, S. (Author), Martin, N.G (Author), Medland, S.E (Author), Middeldorp, C.M (Author), Ong, J.-S (Author), Shringarpure, S. (Author), Thorp, J.G (Author), Wang, W. (Author)
Format: Article
Language:English
Published: Nature Research 2021
Subjects:
anxiety
Anxiety
behavior
Behavioral Symptoms
comorbidity
Comorbidity
depression
Depression
factor analysis
Factor Analysis, Statistical
genetic predisposition
Genetic Predisposition to Disease
genetics
genome-wide association study
Genome-Wide Association Study
human
Humans
latent class analysis
Latent Class Analysis
neurosis
Neuroticism
physiology
procedures
psychology
symptom assessment
Symptom Assessment
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