No association between the rs10503253 polymorphism in the CSMD1 gene and schizophrenia in a Han Chinese population

نویسندگان

  • Yansong Liu
  • Zaohuo Cheng
  • Jun Wang
  • Chunhui Jin
  • Jianmin Yuan
  • Guoqiang Wang
  • Fuquan Zhang
  • Xudong Zhao
چکیده

BACKGROUND Schizophrenia (SCZ) is a complex, heritable, and devastating psychiatric disorder. Recent genome-wide association studies have identified a single-nucleotide polymorphism (SNP; rs10503253) in the CUB and SUSHI multiple domains 1 (CSMD1) gene as a risk factor for SCZ. In this study, we investigated whether the rs10503253 in CSMD1 contributes to the risk of SCZ in a Han Chinese population. METHODS We conducted a case-control study in a population from eastern China, involving 1378 SCZ patients and 1091 unrelated healthy controls, using the ligase detection reaction-polymerase chain reaction method to genotype the rs10503253 polymorphism in the CSMD1 gene. RESULTS No significant association was found between the SCZ patients and controls for any allele or genotype frequency of the SNP rs10503253 (all P > 0.05). CONCLUSIONS Our findings do not support an association between CSMD1 rs10503253 and SCZ in a Han Chinese population.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Genetic Variants in CSMD1 Gene Are Associated with Cognitive Performance in Normal Elderly Population

Recently, genetic markers rs10503253 and rs2616984 in the CUB and Sushi multiple domains-1 (CSMD1) gene have been reported to be associated with schizophrenia and cognitive functions in genome-wide association studies. We examined the associations of the above SNPs with cognitive performance evaluated by the Montreal Cognitive Assessment (MoCA) tool in a cohort of the normal elderly from the Ru...

متن کامل

Study of the association between DRD2 Gene Ser311Cys and GSTM1 Gene polymorphism in Schizophrenia

Introduction: Schizophrenia is a mental disorder affecting 1% of the world's population. Two of genes have been recognized to be involved in development of this disease: DRD2 and GSTM1. Methods: This case-control study included 100 patients suffering from schizophrenia who referred to Yazd Neuropsychiatry Hospital. Also, 100 healthy patients without schizophrenia were selected as the control g...

متن کامل

Genome-Wide Supported Risk Variants in MIR137, CACNA1C, CSMD1, DRD2, and GRM3 Contribute to Schizophrenia Susceptibility in Pakistani Population

OBJECTIVE Schizophrenia is a chronic neuropsychiatric disease afflicting around 1.1% of the population worldwide. Recently, MIR137, CACNA1C, CSMD1, DRD2, and GRM3 have been reported as the most robustly emerging candidates involved in the etiology of schizophrenia. In this case control study, we performed an association analysis of rs1625579 (MIR137), rs1006737, rs4765905 (CACNA1C), rs10503253 ...

متن کامل

No association between single nucleotide polymorphisms in pre-mirnas and the risk of gastric cancer in Chinese population

Objective(s): Accumulating evidence has demonstrated that miRNAs contribute to various genetic and epigenetic modifications in the pathogenesis of gastric cancer (GC). Recent studies focused on the four single nucleotide polymorphisms (SNPs) of pre-miRNAs including rs11614913, rs3746444, rs2910164, and rs2292832. It was suggested that these four SNPs were significantly associated with the risk ...

متن کامل

A genetic association study of CSMD1 and CSMD2 with cognitive function

The complement cascade plays a role in synaptic pruning and synaptic plasticity, which seem to be involved in cognitive functions and psychiatric disorders. Genetic variants in the closely related CSMD1 and CSMD2 genes, which are implicated in complement regulation, are associated with schizophrenia. Since patients with schizophrenia often show cognitive impairments, we tested whether variants ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 16  شماره 

صفحات  -

تاریخ انتشار 2016