Raybould, Rachel, Green, Elaine K., MacGregor, Stuart, Gordon-Smith, Katherine, Heron, Jess, Hyde, Sally, Caesar, Sian, Nikolov, Ivan, Williams, Nigel Melville ![]() ![]() ![]() ![]() ![]() ![]() |
Abstract
Background: Several studies support the dysbindin (dystrobrevin binding protein 1) gene (DTNBP1) as a susceptibility gene for schizophrenia. We previously reported that variation at a specific 3-locus haplotype influences susceptibility to schizophrenia in a large United Kingdom (UK) Caucasian case-control sample. Methods: Using similar methodology to our schizophrenia study, we have investigated this same 3-locus haplotype in a large, well-characterized bipolar sample (726 Caucasian UK DSM-IV bipolar I patients; 1407 ethnically matched controls). Results: No significant differences were found in the distribution of the 3-locus haplotype in the full sample. Within the subset of bipolar I cases with predominantly psychotic episodes of mood disturbance (n = 133) we found nominally significant support for association at this haploptype (p< .042) and at SNP rs2619538 (p= .003), with a pattern of findings similar to that in our schizophrenia sample. This finding was not significant after correction for multiple testing. Conclusions: Our data suggest that variation at the polymorphisms examined does not make a major contribution to susceptibility to bipolar disorder in general. They are consistent with the possibility that DTNBP1 influences susceptibility to a subset of bipolar disorder cases with psychosis. However, our subset sample is small and the hypothesis requires testing in independent, adequately powered samples.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Neuroscience and Mental Health Research Institute (NMHRI) |
Subjects: | R Medicine > R Medicine (General) |
Publisher: | Elsevier |
ISSN: | 0006-3223 |
Last Modified: | 27 Oct 2022 08:23 |
URI: | https://orca.cardiff.ac.uk/id/eprint/62155 |
Citation Data
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