Bipolar Disorder

One of the research interests of the MiND Lab is the genetics of bipolar disorder (BD). About 10 years ago, we began a genetics study, including recruitment of a new case/comparison group cohort of N~500 BD, N~500 controls, restricted to North European ancestry in order to reduce genetic heterogeneity. A similar sized ‘sister’ cohort was also recruited by the group at Institute of Psychiatry, London, UK . These cohorts have been used for a genome-wide association study (GWAS) and copy number variant (CNV) study, both published in 2014. In addition, genotype data has been used towards larger consortium GWAS. A list of publications using our data is given below

  1. Scott et al (2009) Genome-wide association and meta-analysis of bipolar disorder in European ancestry samples. PNAS USA 106:7501-7506. Scott_2009
  2. Francks et al. (2010) Population-based linkage analysis of schizophrenia and bipolar case-control cohorts identifies a potential susceptibility locus on 19q13. Mol Psychiatry 15(3):319-325
  3. Novak et al.(2010) Replicated association of the NR4A3 gene with smoking behaviour in schizophrenia and in bipolar disorder. Genes Brain Behav 9:910-917. Novak_2010
  4. McMahon et al. (2010) Meta-analysis of genome-wide association data detects a risk locus for major mood disorders on chromosome 3p21.1. Nature Genetics 42:128-131.McMahon_2010
  5. Manchia et al. (2010) Mixture regression analysis on age at onset in a sample of Canadian Bipolar Affective patients: investigation of the role of serotonergic genes. Eur J Hum Genet 20:663-670.
  6. Kaminsky et al. (2012) A multi-tissue analysis identifies HCG9 methylation differences in bipolar disorder. Mol Psychiatr 17:728-740
  7. *Psychiatric GWAS Consortium Bipolar Disorder Working Group, Sklar et al.(2011) Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nat Genet 43:977-983PGC_bipolar_ng2011
  8. Nelson et al. (2012) An abundance of rare functional variants in 202 drug target genes sequenced in 14002 people. Science 337:100-104.
  9. Power et al (2013) Estimating the heritability of stressful life events captured by common genetic variants. Psychol Med 43:1965-1971.
  10. Steinberg et al. (2014) Common Variant at 16p11.2 Conferring Risk of Psychosis. Mol Psychiatr 19:108-114.
  11. Chen et al (2013) Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar Mol Psychiatr 18:195-205 &264-266
  12. Schork et al (2013) All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs. PLoS Genet 9(4):e1003449.Schork_2013
  13. Cross-Disorder Group of the Psychiatric Genomics Consortium, (2013) Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381:1371-9.
  14. Cross-Disorder Group of the Psychiatric Genomics Consortium (2013) Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet 45:984-994. doi: 10.1038/ng.2711.PGC-CDG_NG13
  15. *Xu et al (2014) Genome-wide Association Study of Bipolar Disorder in Canadian and UK Populations Corroborates Disease Loci Including SYNE1 and CSMD1. BMC Med Genet 15:2Xu_2014
  16. *Noor et al. Copy Number Variant Study of Bipolar Disorder in Canadian and UK Populations Identifies New Candidate Disease Loci. Am J Med Genet B (Neuropsychiatr Genet) 165B(4):303-313.Noor_BD_CNV_ajmgb
  17. Strauss et al(2013) Quantitative Leukocyte BDNF Promoter Methylation Analysis in Bipolar Disorder. Int J Bipolar Disord 1:2
  18. Zai et al (2015) A genome-wide association study of suicide severity scores in bipolar disorder. J Psychiatr Res. 65:23-29.
  19. Nurnberger et al. Psychiatric Genomics Consortium Bipolar (2014) Identification of pathways for bipolar disorder: a meta-analysis. JAMA Psychiatry 71(6):657-664.
  20. Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium. (2015) Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nat Neurosci 18(2):199-209.
  21. Maier et al. (2015) Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder. Am J Hum Genet 96(2):283-94.
  22. Liu et al. (2010) Genome-wide association meta-analysis of smoking in 41,150 subjects. Nature Genetics 42:436-440.Liu_smoking_NG_2010
  23. Gaysina et al (2010) Association between DAOA and DAO genes and bipolar disorder: the results of a Bipolar Case Control Study (BACCS) Bipolar Disord 12:579-581.
  24. Tozzi et al. (2011) Admixture analysis of Bipolar Disorder age at onset. Psychiatry Res 185:27-32
  25. Cohen-Woods et al. (2010). The bipolar association case control (BACC) study and meta-analysis: No association with the 5,10-methylenetetrahydrofolate reductase gene and bipolar disorder. Am J Med Genet B (Neuropsychiatr Genet) 153:1298-1304.
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