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Genome-wide Association for Major Depression Through Age at Onset Stratification: Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium

  • CONVERGE Consortium, CARDIoGRAM Consortium, GERAD1 Consortium
  • King's College London
  • Cardiff University
  • Aarhus University
  • Adelaide University
  • Virginia Commonwealth University
  • University of Edinburgh
  • University of Lausanne
  • University of Queensland
  • University of New England
  • Broad Institute
  • Massachusetts General Hospital
  • Charité – Universitätsmedizin Berlin
  • deCODE Genetics
  • University of Greifswald
  • Karolinska Institutet
  • University of Münster
  • University of Amsterdam
  • University of Marburg
  • University of Bonn
  • Queensland Institute of Medical Research
  • Kaiser Permanente
  • Washington University St. Louis
  • University of Aberdeen
  • Max Planck Institute of Psychiatry
  • University of Copenhagen
  • University of Gothenburg
  • Heidelberg University 
  • Stanford University
  • VU University Medical Center
  • Munich Cluster for Systems Neurology (SyNergy)
  • University of Liverpool
  • Queensland University of Technology
  • Therapeia
  • University of Glasgow
  • Florida Atlantic University
  • University of Iowa
  • University of Granada
  • National Institutes of Health
  • Group Health
  • University of Iceland
  • Landspitali University Hospital
  • University of Dundee
  • University of North Carolina at Chapel Hill
  • Columbia University

Research output: Contribution to journalArticlepeer-review

Abstract

Background Major depressive disorder (MDD) is a disabling mood disorder, and despite a known heritable component, a large meta-analysis of genome-wide association studies revealed no replicable genetic risk variants. Given prior evidence of heterogeneity by age at onset in MDD, we tested whether genome-wide significant risk variants for MDD could be identified in cases subdivided by age at onset. Methods Discovery case-control genome-wide association studies were performed where cases were stratified using increasing/decreasing age-at-onset cutoffs; significant single nucleotide polymorphisms were tested in nine independent replication samples, giving a total sample of 22,158 cases and 133,749 control subjects for subsetting. Polygenic score analysis was used to examine whether differences in shared genetic risk exists between earlier and adult-onset MDD with commonly comorbid disorders of schizophrenia, bipolar disorder, Alzheimer's disease, and coronary artery disease. Results We identified one replicated genome-wide significant locus associated with adult-onset (>27 years) MDD (rs7647854, odds ratio: 1.16, 95% confidence interval: 1.11–1.21, p = 5.2 × 10-11). Using polygenic score analyses, we show that earlier-onset MDD is genetically more similar to schizophrenia and bipolar disorder than adult-onset MDD. Conclusions We demonstrate that using additional phenotype data previously collected by genetic studies to tackle phenotypic heterogeneity in MDD can successfully lead to the discovery of genetic risk factor despite reduced sample size. Furthermore, our results suggest that the genetic susceptibility to MDD differs between adult- and earlier-onset MDD, with earlier-onset cases having a greater genetic overlap with schizophrenia and bipolar disorder.

Original languageEnglish
Pages (from-to)325-335
Number of pages11
JournalBiological Psychiatry
Volume81
Issue number4
DOIs
Publication statusPublished - 15 Feb 2017
Externally publishedYes

Keywords

  • Age at onset
  • GWAS
  • Heterogeneity
  • Major depressive disorder
  • Polygenic scoring
  • Stratification

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