Evidence map›Paper›PMID 33859377›Full record

ArticleNature human behaviour2021

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

Jackson G Thorp, Adrian I Campos, Andrew D Grotzinger, Zachary F Gerring, Jiyuan An, Jue-Sheng Ong, Wei Wang, 23andMe Research Team, Suyash Shringarpure, Enda M Byrne and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 4 pooled it
14.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 4 syntheses or guidelines pooled it, 116 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 3 countries.

Jackson G ThorpTranslational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. Jackson.Thorp@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0002-9461-6417
Adrian I CamposFaculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-3468-8619
Andrew D GrotzingerDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0001-7852-9244
Zachary F GerringTranslational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-2445-1266
Jiyuan AnStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-8183-8248
Jue-Sheng OngStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-6062-710X
Wei Wang23andMe, Sunnyvale, CA, USA.ORCID http://orcid.org/0000-0001-7358-6557
23andMe Research Team
Suyash Shringarpure23andMe, Sunnyvale, CA, USA.
Enda M ByrneInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-9491-7797
Stuart MacGregorStatistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0001-6731-8142
Nicholas G MartinGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-4069-8020
Sarah E MedlandPsychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-1382-380X
Christel M MiddeldorpChild Health Research Centre, University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-6218-0428
Eske M DerksTranslational Neurogenomics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. Eske.Derks@qimrberghofer.edu.au.ORCID http://orcid.org/0000-0002-6292-6883
QIMR Berghofer Medical Research Institute · AUThe University of Queensland · AU23andMe (United States) · USThe University of Texas at Austin · US

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

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.

Indexed as

AnxietyBehavioral SymptomsDepressionComorbidityFactor Analysis, StatisticalGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLatent Class AnalysisNeuroticismSymptom Assessment

Identifiers

PMID33859377
OpenAlexW3171451869

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.