Dissecting the genetic heterogeneity of depression through age at onset

Power, Robert A., Keers, Robert, Ng, Mandy Y., Butler, Amy W., Uher, Rudolf, Cohen-Woods, Sarah, Ising, Marcus, Craddock, Nicholas John ORCID: https://orcid.org/0000-0003-2171-0610, Owen, Michael John ORCID: https://orcid.org/0000-0003-4798-0862, Korszun, Ania, Jones, Lisa, Jones, Ian Richard ORCID: https://orcid.org/0000-0001-5821-5889, Gill, Michael, Rice, John P., Hauser, Joanna, Henigsberg, Neven, Maier, Wolfgang, Zobel, Astrid, Mors, Ole, Placentino, Anna S., Rietschel, Marcella, Souery, Daniel, Kozel, Dejan, Preisig, Martin, Lucae, Susanne, Binder, Elisabeth B., Aitchison, Katherine J., Tozzi, Federica, Muglia, Pierandrea, Breen, Gerome, Craig, Ian W., Farmer, Anne E., Müller-Myhsok, Bertram, McGuffin, Peter and Lewis, Cathryn M. 2012. Dissecting the genetic heterogeneity of depression through age at onset. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 159B (7) , pp. 859-868. 10.1002/ajmg.b.32093

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Abstract

Genome-wide studies in major depression have identified few replicated associations, potentially due to heterogeneity within the disorder. Several studies have suggested that age at onset (AAO) can distinguish sub-types of depression with specific heritable components. This paper investigates the role of AAO in the genetic susceptibility for depression using genome-wide association data on 2,746 cases and 1,594 screened controls from the RADIANT studies, with replication performed in 1,471 cases and 1,403 controls from two Munich studies. Three methods were used to analyze AAO: First a time-to-event analysis with controls censored, secondly comparing controls to base-subsets defined using AAO cut-offs, and lastly analyzing AAO as a quantitative trait. In the time-to-event analysis three SNPs reached suggestive significance (P<5E-06), overlapping with the original case–control analysis of this study. In a case–control analysis using AAO thresholds, SNPs in 10 genomic regions showed suggestive association though again none reached genome-wide significance. Lastly, case-only analysis of AAO as a quantitative trait resulted in 5 SNPs reaching suggestive significance. Sex specific analysis was performed as a secondary analysis, yielding one SNP reaching genome-wide significance in early-onset males. No SNPs achieved significance in the replication study after correction for multiple testing. Analysis of AAO as a quantitative trait did suggest that, across all SNPs, common genetic variants explained a large proportion of the variance (51%, P¼0.04). This study provides the first focussed analysis of the genetic contribution to AAO in depression, and establishes a statistical framework that can be applied to a quantitative trait underlying any disorder.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Medicine Neuroscience and Mental Health Research Institute (NMHRI)
Subjects:	Q Science > QH Natural history > QH426 Genetics R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Uncontrolled Keywords:	heterogeneity; age at onset; depression
Publisher:	Wiley-Blackwell
ISSN:	1552-4841
Last Modified:	21 Oct 2022 10:25
URI:	https://orca.cardiff.ac.uk/id/eprint/40119

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