Literature DB >> 27562178

Identification of a Bipolar Disorder Vulnerable Gene CHDH at 3p21.1.

Hong Chang1, Lingyi Li1, Tao Peng1, Maria Grigoroiu-Serbanescu2, Sarah E Bergen3,4, Mikael Landén3,5, Christina M Hultman3, Andreas J Forstner6,7, Jana Strohmaier8, Julian Hecker6,9, Thomas G Schulze10, Bertram Müller-Myhsok11,12,13, Andreas Reif14, Philip B Mitchell15,16, Nicholas G Martin17, Sven Cichon6,7,18,19, Markus M Nöthen6,7, Stéphane Jamain20,21,22, Marion Leboyer20,21,22,23, Frank Bellivier20,22,23,24,25, Bruno Etain20,21,22,23, Jean-Pierre Kahn22,26, Chantal Henry20,21,22,23, Marcella Rietschel8, Xiao Xiao27, Ming Li28.   

Abstract

Genome-wide analysis (GWA) is an effective strategy to discover extreme effects surpassing genome-wide significant levels in studying complex disorders; however, when sample size is limited, the true effects may fail to achieve genome-wide significance. In such case, there may be authentic results among the pools of nominal candidates, and an alternative approach is to consider nominal candidates but are replicable across different samples. Here, we found that mRNA expression of the choline dehydrogenase gene (CHDH) was uniformly upregulated in the brains of bipolar disorder (BPD) patients compared with healthy controls across different studies. Follow-up genetic analyses of CHDH variants in multiple independent clinical datasets (including 11,564 cases and 17,686 controls) identified a risk SNP rs9836592 showing consistent associations with BPD (P meta = 5.72 × 10-4), and the risk allele indicated an increased CHDH expression in multiple neuronal tissues (lowest P = 6.70 × 10-16). These converging results may identify a nominal but true BPD susceptibility gene CHDH. Further exploratory analysis revealed suggestive associations of rs9836592 with childhood intelligence (P = 0.044) and educational attainment (P = 0.0039), a "proxy phenotype" of general cognitive abilities. Intriguingly, the CHDH gene is located at chromosome 3p21.1, a risk region implicated in previous BPD genome-wide association studies (GWAS), but CHDH is lying outside of the core GWAS linkage disequilibrium (LD) region, and our studied SNP rs9836592 is ∼1.2 Mb 3' downstream of the previous GWAS loci (e.g., rs2251219) with no LD between them; thus, the association observed here is unlikely a reflection of previous GWAS signals. In summary, our results imply that CHDH may play a previously unknown role in the etiology of BPD and also highlight the informative value of integrating gene expression and genetic code in advancing our understanding of its biological basis.

Entities:  

Keywords:  Bipolar disorder; CHDH; Cognitive ability; Expression quantitative trait loci (eQTL); Gene expression; Genetic evidence

Mesh:

Substances:

Year:  2016        PMID: 27562178     DOI: 10.1007/s12035-016-0041-x

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  49 in total

1.  Variation in GRM3 affects cognition, prefrontal glutamate, and risk for schizophrenia.

Authors:  Michael F Egan; Richard E Straub; Terry E Goldberg; Imtiaz Yakub; Joseph H Callicott; Ahmad R Hariri; Venkata S Mattay; Alessandro Bertolino; Thomas M Hyde; Cynthia Shannon-Weickert; Mayada Akil; Jeremy Crook; Radha Krishna Vakkalanka; Rishi Balkissoon; Richard A Gibbs; Joel E Kleinman; Daniel R Weinberger
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-13       Impact factor: 11.205

2.  Expression profiling in monozygotic twins discordant for bipolar disorder reveals dysregulation of the WNT signalling pathway.

Authors:  N Matigian; L Windus; H Smith; C Filippich; C Pantelis; J McGrath; B Mowry; N Hayward
Journal:  Mol Psychiatry       Date:  2007-04-17       Impact factor: 15.992

3.  RNA-sequencing of the brain transcriptome implicates dysregulation of neuroplasticity, circadian rhythms and GTPase binding in bipolar disorder.

Authors:  N Akula; J Barb; X Jiang; J R Wendland; K H Choi; S K Sen; L Hou; D T W Chen; G Laje; K Johnson; B K Lipska; J E Kleinman; H Corrada-Bravo; S Detera-Wadleigh; P J Munson; F J McMahon
Journal:  Mol Psychiatry       Date:  2014-01-07       Impact factor: 15.992

Review 4.  Evolution of cognitive impairment in bipolar disorder: a systematic review of cross-sectional evidence.

Authors:  Lucy J Robinson; I Nicol Ferrier
Journal:  Bipolar Disord       Date:  2006-04       Impact factor: 6.744

Review 5.  Convergent functional genomics of psychiatric disorders.

Authors:  Alexander B Niculescu
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2013-05-31       Impact factor: 3.568

6.  Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.

Authors: 
Journal:  Nat Genet       Date:  2011-09-18       Impact factor: 38.330

7.  Enrichment of cis-regulatory gene expression SNPs and methylation quantitative trait loci among bipolar disorder susceptibility variants.

Authors:  E R Gamazon; J A Badner; L Cheng; C Zhang; D Zhang; N J Cox; E S Gershon; J R Kelsoe; T A Greenwood; C M Nievergelt; C Chen; R McKinney; P D Shilling; N J Schork; E N Smith; C S Bloss; J I Nurnberger; H J Edenberg; T Foroud; D L Koller; W A Scheftner; W Coryell; J Rice; W B Lawson; E A Nwulia; M Hipolito; W Byerley; F J McMahon; T G Schulze; W H Berrettini; J B Potash; P P Zandi; P B Mahon; M G McInnis; S Zöllner; P Zhang; D W Craig; S Szelinger; T B Barrett; C Liu
Journal:  Mol Psychiatry       Date:  2012-01-03       Impact factor: 15.992

8.  Meta-analysis of genome-wide association data identifies a risk locus for major mood disorders on 3p21.1.

Authors:  Francis J McMahon; Nirmala Akula; Thomas G Schulze; Pierandrea Muglia; Federica Tozzi; Sevilla D Detera-Wadleigh; C J M Steele; René Breuer; Jana Strohmaier; Jens R Wendland; Manuel Mattheisen; Thomas W Mühleisen; Wolfgang Maier; Markus M Nöthen; Sven Cichon; Anne Farmer; John B Vincent; Florian Holsboer; Martin Preisig; Marcella Rietschel
Journal:  Nat Genet       Date:  2010-01-17       Impact factor: 38.330

9.  Analysis of 10 independent samples provides evidence for association between schizophrenia and a SNP flanking fibroblast growth factor receptor 2.

Authors:  M C O'Donovan; N Norton; H Williams; T Peirce; V Moskvina; I Nikolov; M Hamshere; L Carroll; L Georgieva; S Dwyer; P Holmans; J L Marchini; C C A Spencer; B Howie; H-T Leung; I Giegling; A M Hartmann; H-J Möller; D W Morris; Y Shi; G Feng; P Hoffmann; P Propping; C Vasilescu; W Maier; M Rietschel; S Zammit; J Schumacher; E M Quinn; T G Schulze; N Iwata; M Ikeda; A Darvasi; S Shifman; L He; J Duan; A R Sanders; D F Levinson; R Adolfsson; U Osby; L Terenius; E G Jönsson; S Cichon; M M Nöthen; M Gill; A P Corvin; D Rujescu; P V Gejman; G Kirov; N Craddock; N M Williams; M J Owen
Journal:  Mol Psychiatry       Date:  2008-09-23       Impact factor: 15.992

10.  Biological insights from 108 schizophrenia-associated genetic loci.

Authors: 
Journal:  Nature       Date:  2014-07-22       Impact factor: 49.962

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  1 in total

1.  Integrative analyses indicate an association between ITIH3 polymorphisms with autism spectrum disorder.

Authors:  Xinyan Xie; Heng Meng; Hao Wu; Fang Hou; Yanlin Chen; Yu Zhou; Qi Xue; Jiajia Zhang; Jianhua Gong; Li Li; Ranran Song
Journal:  Sci Rep       Date:  2020-03-23       Impact factor: 4.379

  1 in total

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