Phenotypic association analyses with copy number variation in recurrent depressive disorder

Research output: Contribution to journalArticle

Authors

  • James J.h. Rucker
  • Katherine E. Tansey
  • Margarita Rivera
  • Dalila Pinto
  • Sarah Cohen-woods
  • Rudolf Uher
  • Katherine J. Aitchison
  • Nick Craddock
  • Michael J. Owen
  • Ania Korszun
  • Michael R. Barnes
  • Martin Preisig
  • Ole Mors
  • Wolfgang Maier
  • John Rice
  • Marcella Rietschel
  • Florian Holsboer
  • Anne E. Farmer
  • Ian W. Craig
  • Stephen W. Scherer
  • Peter Mcguffin
  • Gerome Breen

Abstract

Background
Defining the molecular genomic basis of the likelihood of developing depressive disorder is a considerable challenge. We previously associated rare, exonic deletion copy number variants (CNV) with recurrent depressive disorder (RDD). Sex chromosome abnormalities also have been observed to co-occur with RDD.
Methods
In this reanalysis of our RDD dataset (N = 3106 cases; 459 screened control samples and 2699 population control samples), we further investigated the role of larger CNVs and chromosomal abnormalities in RDD and performed association analyses with clinical data derived from this dataset.
Results
We found an enrichment of Turner’s syndrome among cases of depression compared with the frequency observed in a large population sample (N = 34,910) of live-born infants collected in Denmark (two-sided p = .023, odds ratio = 7.76 [95% confidence interval = 1.79–33.6]), a case of diploid/triploid mosaicism, and several cases of uniparental isodisomy. In contrast to our previous analysis, large deletion CNVs were no more frequent in cases than control samples, although deletion CNVs in cases contained more genes than control samples (two-sided p = .0002).
Conclusions
After statistical correction for multiple comparisons, our data do not support a substantial role for CNVs in RDD, although (as has been observed in similar samples) occasional cases may harbor large variants with etiological significance. Genetic pleiotropy and sample heterogeneity suggest that very large sample sizes are required to study conclusively the role of genetic variation in mood disorders.

Details

Original languageEnglish
JournalBiological Psychiatry
Early online date25 Feb 2015
Publication statusE-pub ahead of print - 25 Feb 2015

Keywords

  • Affective Disorders, Copy Number Variation, Depression, Genetics, Phenotypes