Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
33859377
TITLE
Symptom-level modelling unravels the shared genetic architecture of anxiety and depression.
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.
DATE PUBLISHED
2021 Apr 15
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2020/04/15
accepted 2021/03/01
entrez 2021/04/16 06:28
pubmed 2021/04/17 06:00
medline 2021/04/17 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Thorp JG Thorp Jackson G JG Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia. Jackson.Thorp@qimrberghofer.edu.au.
Campos AI Campos Adrian I AI Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Grotzinger AD Grotzinger Andrew D AD Department of Psychology, University of Texas at Austin, Austin, TX, USA.
Gerring ZF Gerring Zachary F ZF Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
An J An Jiyuan J Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Ong JS Ong Jue-Sheng JS Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Wang W Wang Wei W 23andMe, Sunnyvale, CA, USA.
23andMe Research Team
Shringarpure S Shringarpure Suyash S 23andMe, Sunnyvale, CA, USA.
Byrne EM Byrne Enda M EM Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
MacGregor S MacGregor Stuart S Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Martin NG Martin Nicholas G NG Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Medland SE Medland Sarah E SE Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Middeldorp CM Middeldorp Christel M CM Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Derks EM Derks Eske M EM Translational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. Eske.Derks@qimrberghofer.edu.au.
INVESTIGATORS
JOURNAL
VOLUME:
ISSUE:
TITLE: Nature human behaviour
ISOABBREVIATION: Nat Hum Behav
YEAR: 2021
MONTH: Apr
DAY: 15
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 2397-3374
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Nat Hum Behav
COUNTRY: England
ISSNLINKING: 2397-3374
NLMUNIQUEID: 101697750
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
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