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
37461564
TITLE
Genetic structure of major depression symptoms across clinical and community cohorts.
ABSTRACT
Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and aetiological subtypes. There are several challenges to integrating symptom data from genetically-informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data. We conducted genome-wide association studies of major depressive symptoms in three clinical cohorts that were enriched for affected participants (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors. The best fitting model had a distinct factor for symptoms and an additional measurement factor that accounted for missing data patterns in the community cohorts (use of Depression and Anhedonia as gating symptoms). The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analysing genetic association data.
DATE PUBLISHED
2023 Jul 07
HISTORY
PUBSTATUS PUBSTATUSDATE
medline 2023/07/18 06:43
pubmed 2023/07/18 06:42
entrez 2023/07/18 03:38
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Adams MJ Adams Mark J MJ
Thorp JG Thorp Jackson G JG
Jermy BS Jermy Bradley S BS
Kwong ASF Kwong Alex S F ASF
Kõiv K Kõiv Kadri K
Grotzinger AD Grotzinger Andrew D AD
Nivard MG Nivard Michel G MG
Marshall S Marshall Sally S
Milaneschi Y Milaneschi Yuri Y
Baune BT Baune Bernhard T BT
Müller-Myhsok B Müller-Myhsok Bertram B
Penninx BW Penninx Brenda Wjh BW
Boomsma DI Boomsma Dorret I DI
Levinson DF Levinson Douglas F DF
Breen G Breen Gerome G
Pistis G Pistis Giorgio G
Grabe HJ Grabe Hans J HJ
Tiemeier H Tiemeier Henning H
Berger K Berger Klaus K
Rietschel M Rietschel Marcella M
Magnusson PK Magnusson Patrik K PK
Uher R Uher Rudolf R
Hamilton SP Hamilton Steven P SP
Lucae S Lucae Susanne S
Lehto K Lehto Kelli K
Li QS Li Qingqin S QS
Byrne EM Byrne Enda M EM
Hickie IB Hickie Ian B IB
Martin NG Martin Nicholas G NG
Medland SE Medland Sarah E SE
Wray NR Wray Naomi R NR
Tucker-Drob EM Tucker-Drob Elliot M EM
Estonian Biobank Research Team
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Lewis CM Lewis Cathryn M CM
McIntosh AM McIntosh Andrew M AM
Derks EM Derks Eske M EM
INVESTIGATORS
JOURNAL
VOLUME:
ISSUE:
TITLE: medRxiv : the preprint server for health sciences
ISOABBREVIATION: medRxiv
YEAR: 2023
MONTH: Jul
DAY: 07
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN:
ISSNTYPE:
MEDLINE JOURNAL
MEDLINETA: medRxiv
COUNTRY: United States
ISSNLINKING:
NLMUNIQUEID: 101767986
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Preprint
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