Literature DB >> 27620326

Association of CACNA1C and SYNE1 in offspring of patients with psychiatric disorders.

Patricia Gassó1, Vanessa Sánchez-Gistau2, Sergi Mas3, Gisela Sugranyes4, Natalia Rodríguez5, Daniel Boloc5, Elena de la Serna2, Soledad Romero2, Dolores Moreno6, Carmen Moreno6, Covadonga M Díaz-Caneja6, Amalia Lafuente3, Josefina Castro-Fornieles7.   

Abstract

Schizophrenia (SZ) and bipolar disorder (BD) are severe mental diseases associated with cognitive impairment, mood disturbance, and psychosis. Both disorders are highly heritable and share a common genetic background. The present study assesses, for the first time, differences in genotype frequencies of polymorphisms located in genes involved in neurodevelopment and synaptic plasticity between genetic high-risk individuals (offspring of patients with SZ or BD; N=100: 31 and 69, respectively) and control subjects (offspring of community controls; N=96). Individuals from both groups had similar ages, around 12 years. A higher percentage of men were included in the genetic high-risk group (58%) compared with the control group (40.6%). A total of 244 validated SNPs located in 35 candidate gene regions were analyzed in 196 participants. Multivariate methods based on logistic regression analysis were performed to assess differences in genotype frequencies. Bonferroni correction was applied for the multiple comparisons performed. Two polymorphisms, CACNA1C rs10848683 and SYNE1 rs214950, showed significant differences. The frequency of heterozygotes for CACNA1C rs10848683 in genetic high-risk individuals was double that in controls (OR=3.15; P=0.00016). For SYNE1 rs214950, higher frequencies of heterozygotes (OR=1.97) and homozygotes for the minor allele (OR=17.89; P=0.00020) were found in the genetic high-risk group than in the control group. In conclusion, polymorphisms in CACNA1C and SYNE1 could confer a greater risk of developing SZ and BD in individuals who are already at high risk because of their family history. This could help identify subjects with a very high genetic risk, in whom early detection and early intervention could lead to better prognosis.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; CACNA1C; Offspring; Polymorphism; SYNE1; Schizophrenia

Mesh:

Substances:

Year:  2016        PMID: 27620326     DOI: 10.1016/j.psychres.2016.08.058

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

1.  Role of CACNA1C gene polymorphisms and protein expressions in the pathogenesis of schizophrenia: a case-control study in a Chinese population.

Authors:  Sheng-Yu Zhang; Qiang Hu; Tao Tang; Chao Liu; Cheng-Chong Li; Xiao-Guang Yang; Yin-Yin Zang; Wei-Xiong Cai
Journal:  Neurol Sci       Date:  2017-06-07       Impact factor: 3.307

2.  Multivariate analysis of genome-wide data to identify potential pleiotropic genes for five major psychiatric disorders using MetaCCA.

Authors:  XiaoCan Jia; YongLi Yang; YuanCheng Chen; ZhiWei Cheng; Yuhui Du; Zhenhua Xia; Weiping Zhang; Chao Xu; Qiang Zhang; Xin Xia; HongWen Deng; XueZhong Shi
Journal:  J Affect Disord       Date:  2018-07-17       Impact factor: 4.839

3.  Association of the CACNA2D2 gene with schizophrenia in Chinese Han population.

Authors:  Yingli Fu; Na Zhou; Wei Bai; Yaoyao Sun; Xin Chen; Yueying Wang; Mingyuan Zhang; Changgui Kou; Yaqin Yu; Qiong Yu
Journal:  PeerJ       Date:  2020-02-05       Impact factor: 2.984

4.  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

5.  An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder.

Authors:  Xin Qi; Yan Wen; Ping Li; Chujun Liang; Bolun Cheng; Mei Ma; Shiqiang Cheng; Lu Zhang; Li Liu; Om Prakash Kafle; Feng Zhang
Journal:  Int J Bipolar Disord       Date:  2020-02-03

6.  Genetic Polymorphisms in miR-137 and Its Target Genes, TCF4 and CACNA1C, Contribute to the Risk of Bipolar Disorder: A Preliminary Case-Control Study and Bioinformatics Analysis.

Authors:  Mohammad Ali Mokhtari; Saman Sargazi; Ramin Saravani; Milad Heidari Nia; Shekoufeh Mirinejad; Kinga Hadzsiev; Judit Bene; Mansoor Shakiba
Journal:  Dis Markers       Date:  2022-09-22       Impact factor: 3.464

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.