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
34924174
TITLE
The Australian Genetics of Depression Study: New Risk Loci and Dissecting Heterogeneity Between Subtypes.
ABSTRACT
BACKGROUND NlmCategory: BACKGROUND
Major depressive disorder (MDD) is a common and highly heterogeneous psychiatric disorder, but little is known about the genetic characterization of this heterogeneity. Understanding the genetic etiology of MDD can be challenging because large sample sizes are needed for gene discovery-often achieved with a trade-off in the depth of phenotyping.
METHODS NlmCategory: METHODS
Major depressive disorder (MDD) is a common and highly heterogeneous psychiatric disorder, but little is known about the genetic characterization of this heterogeneity. Understanding the genetic etiology of MDD can be challenging because large sample sizes are needed for gene discovery-often achieved with a trade-off in the depth of phenotyping. The Australian Genetics of Depression Study is the largest stand-alone depression cohort with both genetic data and in-depth phenotyping and comprises a total of 15,792 participants of European ancestry, 92% of whom met diagnostic criteria for MDD. We leveraged the unique nature of this cohort to conduct a meta-analysis with the largest publicly available depression genome-wide association study to date and subsequently used polygenic scores to investigate genetic heterogeneity across various clinical subtypes of MDD.
RESULTS NlmCategory: RESULTS
Major depressive disorder (MDD) is a common and highly heterogeneous psychiatric disorder, but little is known about the genetic characterization of this heterogeneity. Understanding the genetic etiology of MDD can be challenging because large sample sizes are needed for gene discovery-often achieved with a trade-off in the depth of phenotyping. The Australian Genetics of Depression Study is the largest stand-alone depression cohort with both genetic data and in-depth phenotyping and comprises a total of 15,792 participants of European ancestry, 92% of whom met diagnostic criteria for MDD. We leveraged the unique nature of this cohort to conduct a meta-analysis with the largest publicly available depression genome-wide association study to date and subsequently used polygenic scores to investigate genetic heterogeneity across various clinical subtypes of MDD. We increased the number of known genome-wide significant variants associated with depression from 103 to 126 and found evidence of association of novel genes implicated in neuronal development. We found that a polygenic score for depression explained 5.7% of variance in MDD liability in our sample. Finally, we found strong support for genetic heterogeneity in depression with differential associations of multiple psychiatric and comorbid traits with age of onset, longitudinal course, and various subtypes of MDD.
CONCLUSIONS NlmCategory: CONCLUSIONS
Major depressive disorder (MDD) is a common and highly heterogeneous psychiatric disorder, but little is known about the genetic characterization of this heterogeneity. Understanding the genetic etiology of MDD can be challenging because large sample sizes are needed for gene discovery-often achieved with a trade-off in the depth of phenotyping. The Australian Genetics of Depression Study is the largest stand-alone depression cohort with both genetic data and in-depth phenotyping and comprises a total of 15,792 participants of European ancestry, 92% of whom met diagnostic criteria for MDD. We leveraged the unique nature of this cohort to conduct a meta-analysis with the largest publicly available depression genome-wide association study to date and subsequently used polygenic scores to investigate genetic heterogeneity across various clinical subtypes of MDD. We increased the number of known genome-wide significant variants associated with depression from 103 to 126 and found evidence of association of novel genes implicated in neuronal development. We found that a polygenic score for depression explained 5.7% of variance in MDD liability in our sample. Finally, we found strong support for genetic heterogeneity in depression with differential associations of multiple psychiatric and comorbid traits with age of onset, longitudinal course, and various subtypes of MDD. Until now, this degree of detailed phenotyping in such a large sample of MDD cases has not been possible. Along with the discovery of novel loci, we provide support for differential pathways to illness models that recognize the overlap with other common psychiatric disorders as well as pathophysiological differences.
Copyright © 2021 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
DATE PUBLISHED
2021 Nov 02
HISTORY
PUBSTATUS PUBSTATUSDATE
received 2021/04/09
revised 2021/09/21
accepted 2021/10/24
entrez 2021/12/20 05:39
pubmed 2021/12/21 06:00
medline 2021/12/21 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Mitchell BL Mitchell Brittany L BL QIMR Berghofer Medical Research Institute, Brisbane, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Australia. Electronic address: Brittany.mitchell@qimrberghofer.edu.au.
Campos AI Campos Adrian I AI QIMR Berghofer Medical Research Institute, Brisbane, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
Whiteman DC Whiteman David C DC QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Olsen CM Olsen Catherine M CM QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Gordon SD Gordon Scott D SD QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Walker AJ Walker Adam J AJ Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia.
Dean OM Dean Olivia M OM Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, Australia.
Berk M Berk Michael M Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, Australia; Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of Melbourne, Melbourne, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Australia.
Hickie IB Hickie Ian B IB Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia.
Medland SE Medland Sarah E SE QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Wray NR Wray Naomi R NR Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
Martin NG Martin Nicholas G NG QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Byrne EM Byrne Enda M EM Child Health Research Centre, The University of Queensland, Brisbane, Australia; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia. Electronic address: Enda.byrne@uq.edu.au.
INVESTIGATORS
JOURNAL
VOLUME:
ISSUE:
TITLE: Biological psychiatry
ISOABBREVIATION: Biol Psychiatry
YEAR: 2021
MONTH: Nov
DAY: 02
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1873-2402
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Biol Psychiatry
COUNTRY: United States
ISSNLINKING: 0006-3223
NLMUNIQUEID: 0213264
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
KEYWORD
Genetics
Genome-wide association study
Heterogeneity
Major depressive disorder
Polygenic risk scores
Psychiatry
MESH HEADINGS
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's