White matter integrity as an intermediate phenotype: Exploratory genome-wide association analysis in individuals at high risk of bipolar disorder

Emma Sprooten, Kathryn M. Fleming, Pippa A. Thomson, Mark E. Bastin, Heather C. Whalley, Jeremy Hall, Jess E. Sussmann, James McKirdy, Douglas Blackwood, Stephen M. Lawrie, Andrew M. McIntosh

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

White matter integrity, as measured using diffusion tensor imaging (DTI), is reduced in individuals with bipolar disorder (BD), their unaffected relatives and carriers of specific risk-alleles. Fractional anisotropy (FA), an index of white matter integrity, is highly heritable but the genetic architecture of this trait has received little investigation. In this study we performed a genome-wide association study with FA as quantitative phenotype, in unaffected relatives of patients with BD (N=70) and a matched control group (N=80). Amongst our top results were SNPs located in genes involved in cell adhesion, white matter development and neuronal plasticity. Pathway analysis of the top associated polymorphisms and genes confirmed the enrichment of processes relevant to BD and white matter development, including axon guidance, ErbB-signalling neurotrophin signalling, phosphatidylinositol signalling, and cell adhesion. The majority of genes implicated in these pathways were differentially associated with FA in individuals at high familial risk, suggesting interactions with genetic background or environmental factors secondary to familial risk for BD. Although the present findings require independent replication, the results encourage the use of global FA as a quantitative phenotype in future large-scale studies which may help to identify the biological processes underlying reduced FA in BD and other psychiatric disorders.

Original languageEnglish
Pages (from-to)223-231
Number of pages9
JournalPsychiatry Research
Volume206
Issue number2-3
DOIs
StatePublished - 30 Apr 2013
Externally publishedYes

Keywords

  • Diffusion tensor imaging
  • Endophenotype
  • Fractional anisotropy
  • Pathway analysis
  • Psychiatric genetics
  • Quantitative phenotype

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