Literature DB >> 21383261

Common variants in the BCL9 gene conferring risk of schizophrenia.

Junyan Li1, Guoquan Zhou, Weidong Ji, Guoyin Feng, Qian Zhao, Jie Liu, Tao Li, You Li, Peng Chen, Zhen Zeng, Ti Wang, Zhiwei Hu, Linqing Zheng, Yang Wang, Yifeng Shen, Lin He, Yongyong Shi.   

Abstract

CONTEXT: Recent genome-wide association studies have revealed that common variations and rare copy-number variations contribute to the risk of mental disorders. Rare recurrent microdeletions at 1q21.1 were reported to be associated with schizophrenia, and the BCL9 gene at 1q21.1 was also a functional candidate gene for mental disorders.
OBJECTIVES: To investigate and validate whether common variations exist in a functional candidate gene in the copy-number variation region, and, if so, to determine whether these variations confer risk of schizophrenia or other mental disorders.
DESIGN: A 3-stage case-control study.
SETTING: Shanghai, China. PARTICIPANTS: A total of 12 229 subjects were included: 5772 normal controls, 4187 patients with schizophrenia, 1135 patients with bipolar disorder patients, and 1135 patients with major depressive disorder. Main Outcome Measure During the first and second stages of our study, we genotyped 10 single-nucleotide polymorphisms using the ligation detection reaction method. During the third stage of our study, all single-nucleotide polymorphisms were genotyped using TaqMan technology (Applied Biosystems, Foster City, California).
RESULTS: During the first stage of our study, we found that rs672607 was significantly associated with schizophrenia (P = 2.69 × 10(-5)). During the second stage, rs672607 was successfully replicated (P = 1.33 × 10(-5)), and rs9326555 (P = .002), rs1240083 (P = 1.7 × 10(-4)), and rs688325 (P = .006) were newly identified to be significant. During the third stage, we genotyped all single-nucleotide polymorphisms in 1135 patients with schizophrenia, 1135 patients with bipolar disorder, 1135 patients with major depressive disorder, and 1135 normal controls for further validation. Finally, when we combined all the data from the 3 stages of our schizophrenia study, we found that rs9326555 (P = 1.53 × 10(-5)), rs10494251 (P = .02), rs1240083 (P = 1.52 × 10(-4)), rs672607 (P = 1.23 × 10(-11)), rs688325 (P = 2.54 × 10(-4)), and rs3766512 (P = .01) were significant. Moreover, we found that rs672607 was significant in major depressive disorder (P = .001) and bipolar disorder (P = .03), and rs10494251 (P = .04), rs1541187 (P = .04), rs688325 (P = .02), and rs946903 (P = .006) were significant in major depressive disorder.
CONCLUSION: These findings indicate that common variations in the BCL9 gene confer risk of schizophrenia and may also be associated with bipolar disorder and major depressive disorder in the Chinese Han population.

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Year:  2011        PMID: 21383261     DOI: 10.1001/archgenpsychiatry.2011.1

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  15 in total

1.  Protein-protein interaction and pathway analyses of top schizophrenia genes reveal schizophrenia susceptibility genes converge on common molecular networks and enrichment of nucleosome (chromatin) assembly genes in schizophrenia susceptibility loci.

Authors:  Xiongjian Luo; Liang Huang; Peilin Jia; Ming Li; Bing Su; Zhongming Zhao; Lin Gan
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2.  SZDB: A Database for Schizophrenia Genetic Research.

Authors:  Yong Wu; Yong-Gang Yao; Xiong-Jian Luo
Journal:  Schizophr Bull       Date:  2017-03-01       Impact factor: 9.306

3.  Convergent lines of evidence support CAMKK2 as a schizophrenia susceptibility gene.

Authors:  X-J Luo; M Li; L Huang; S Steinberg; M Mattheisen; G Liang; G Donohoe; Y Shi; C Chen; W Yue; A Alkelai; B Lerer; Z Li; Q Yi; M Rietschel; S Cichon; D A Collier; S Tosato; J Suvisaari; Dan Rujescu; V Golimbet; T Silagadze; N Durmishi; M P Milovancevic; H Stefansson; T G Schulze; M M Nöthen; C Chen; R Lyne; D W Morris; M Gill; A Corvin; D Zhang; Q Dong; R K Moyzis; K Stefansson; E Sigurdsson; F Hu; B Su; L Gan
Journal:  Mol Psychiatry       Date:  2013-08-20       Impact factor: 15.992

4.  Bipolar disorder risk gene FOXO6 modulates negative symptoms in schizophrenia: a neuroimaging genetics study.

Authors:  Joseph J Shenker; Sarojini M Sengupta; Ridha Joober; Ashok Malla; M Mallar Chakravarty; Martin Lepage
Journal:  J Psychiatry Neurosci       Date:  2017-05       Impact factor: 6.186

5.  Systematic prioritization and integrative analysis of copy number variations in schizophrenia reveal key schizophrenia susceptibility genes.

Authors:  Xiongjian Luo; Liang Huang; Leng Han; Zhenwu Luo; Fang Hu; Roger Tieu; Lin Gan
Journal:  Schizophr Bull       Date:  2014-03-24       Impact factor: 9.306

Review 6.  Mechanisms Underlying the Comorbidity of Schizophrenia and Type 2 Diabetes Mellitus.

Authors:  Yutaka Mizuki; Shinji Sakamoto; Yuko Okahisa; Yuji Yada; Nozomu Hashimoto; Manabu Takaki; Norihito Yamada
Journal:  Int J Neuropsychopharmacol       Date:  2021-05-18       Impact factor: 5.176

7.  Prioritization of Copy Number Variation Loci Associated with Autism from AutDB-An Integrative Multi-Study Genetic Database.

Authors:  Idan Menashe; Eric C Larsen; Sharmila Banerjee-Basu
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

8.  Neurodevelopment in schizophrenia: the role of the wnt pathways.

Authors:  Isabella Panaccione; Flavia Napoletano; Alberto Maria Forte; Giorgio D Kotzalidis; Antonio Del Casale; Chiara Rapinesi; Chiara Brugnoli; Daniele Serata; Federica Caccia; Ilaria Cuomo; Elisa Ambrosi; Alessio Simonetti; Valeria Savoja; Lavinia De Chiara; Emanuela Danese; Giovanni Manfredi; Delfina Janiri; Marta Motolese; Ferdinando Nicoletti; Paolo Girardi; Gabriele Sani
Journal:  Curr Neuropharmacol       Date:  2013-09       Impact factor: 7.363

Review 9.  Dissecting Molecular Genetic Mechanisms of 1q21.1 CNV in Neuropsychiatric Disorders.

Authors:  Joy Yoon; Yingwei Mao
Journal:  Int J Mol Sci       Date:  2021-05-28       Impact factor: 5.923

10.  BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies.

Authors:  Chun Xu; Nagesh Aragam; Xia Li; Erika Cynthia Villla; Liang Wang; David Briones; Leonora Petty; Yolanda Posada; Tania Bedard Arana; Grace Cruz; ChunXiang Mao; Cynthia Camarillo; Brenda Bin Su; Michael A Escamilla; KeSheng Wang
Journal:  PLoS One       Date:  2013-01-29       Impact factor: 3.240

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