Journal article
Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts
MJ Adams, JG Thorp, BS Jermy, ASF Kwong, K Kõiv, AD Grotzinger, MG Nivard, S Marshall, Y Milaneschi, BT Baune, B Müller-Myhsok, BWJH Penninx, DI Boomsma, DF Levinson, G Breen, G Pistis, HJ Grabe, H Tiemeier, K Berger, M Rietschel Show all
Psychological Medicine | CAMBRIDGE UNIV PRESS | Published : 2024
Abstract
Background. 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 etiological 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. Methods. We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three commu..
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Awarded by Centre for Medical Systems Biology
Funding Acknowledgements
We are extremely grateful to all the families who took part in this study, the midwives for their help in recruiting them, and the whole ALSPAC team, which includes interviewers, computer and laboratory technicians, clerical workers, research scientists, volunteers, managers, receptionists, and nurses. UKB analysis conducted under project 4844. This work made use of the NL Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and resources provided by the Edinburgh Compute and Data Facility (ECDF) (http://www.ecdf.ed.ac.uk/). This publication is the work of the authors and MJA will serve as guarantor for the contents of this paper. For the purposes of open access, the author has applied a Creative Commons Attribution 4.0 International Public License (CC BY 4.0) to any Accepted Author Manuscript version arising from this submission.