Abstract
Several lines of evidence have implicated the catechol-O-methyltransferase (COMT) gene as a candidate for schizophrenia (SZ) susceptibility, not only because it encodes a key dopamine catabolic enzyme but also because it maps to the velocardiofacial syndrome region of chromosome 22q11 which has long been associated with SZ predisposition. The interest in COMT as a candidate SZ risk factor has led to numerous case–control and family-based studies, with the majority placing emphasis on examining a functional Val/Met polymorphism within this enzyme. Unfortunately, these studies have continually produced conflicting results. To assess the genetic contribution of other COMT variants to SZ susceptibility, we investigated three single-nucleotide polymorphisms (SNPs) (rs737865, rs4633, rs165599) in addition to the Val/Met variant (rs4680) in a highly selected sample of Australian Caucasian families containing 107 patients with SZ. The Val/Met and rs4633 variants showed nominally significant associations with SZ (P<0.05), although neither of the individual SNPs remained significant after adjusting for multiple testing (most significant P=0.1174). However, haplotype analyses showed strong evidence of an association; the most significant being the three-marker haplotype rs737865-rs4680-rs165599 (global P=0.0022), which spans more than 26 kb. Importantly, conditional analyses indicated the presence of two separate and interacting effects within this haplotype, irrespective of gender. In addition, our results indicate the Val/Met polymorphism is not disease-causing and is simply in strong linkage disequilibrium with a causative effect, which interacts with another as yet unidentified variant ∼20 kb away. These results may help explain the inconsistent results reported on the Val/Met polymorphism and have important implications for future investigations into the role of COMT in SZ susceptibility.
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Acknowledgements
We acknowledge the participation of individuals and family members in this work. We thank Professor David Copolov, Mental Health Research Institute, Melbourne, Professor Robert Barrett, University of Adelaide, Adelaide and Dr Elsa Bernardi, University of New South Wales, Sydney for being on-site supervisors for family recruitment. We also thank the research assistants who recruited this sample: Anna Rybak, Elizabeth Leeton, Matthew O'Brien and Linda Byrne. This research was supported by NIMH Grant R01 MH 59588. Dr Nyholt was supported by NHMRC Grant 241916.
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URLs for data presented herein are as follows:
Abecasis Website, http://www.sph.umich.edu/csg/abecasis/GOLD/download/index.html (for GOLD, accessed January 30, 2003)
Genetic Power Calculator, http://statgen.iop.kcl.ac.uk/gpc/
Kidd Lab Website, http://krunch.med.yale.edu/hwsim/ (for HWSIM)
National Center for Biotechnology Information, Single Nucleotide Polymorphism Database, http://www.ncbi.nlm.nih.gov/SNP/ (for reference identification numbers for SNPs)
National Institute of Mental Health (1999) FIGS face sheet, http://zork.wustl.edu/nimh/figs/FIGS.pdf
Online Mendelian Inheritance in Man (OMIM), http://www.ncbi.nlm.nih.gov/Omim/ (for SCZD, COMT, and VCFS)
MIT Genome Centre, http://www.broad.mit.edu/ftp/distribution/software/pedmanager/ (for PEDMANAGER)
Supplementary Information accompanies the paper on Molecular Psychiatry website (http://www.nature.com/mp)
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Handoko, H., Nyholt, D., Hayward, N. et al. Separate and interacting effects within the catechol-O-methyltransferase (COMT) are associated with schizophrenia. Mol Psychiatry 10, 589–597 (2005). https://doi.org/10.1038/sj.mp.4001606
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DOI: https://doi.org/10.1038/sj.mp.4001606
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