摘要
目的探讨L型钙离子通道cdC亚基(calcium channel,voltage-dependent,Ltype,Mpha 1C subunit,CACNA1C)基因多态性与精神分裂症的关联。方法纳入1432例精神分裂症患者及1153名正常对照,采用连接酶检测一聚合酶链反应(1igasedetectionreaction—polymerasechainreaction,LDR.PCR)方法对CACNAlC基因rs1006737、rs1024582位点进行基因分型,观察其等位基因及基因型与精神分裂症发病风险的关系。结果患者组rs1006737位点的基因分布(A、G等位基因频率分别为5.3%、94.7%,AA、AG、GG基因型频率分别为O.2%、10.2%、89.6%)与对照组(A、G等位基因频率分别为4.0%、96.0%,AA、AG、GG基因型频率分别为0.4%、7.4%、92.3%)比较,差异有统计学意义(P〈0.05),患者组rsl024582位点的基因分布(A、G等位基因频率分别为4.9%、95.1%,AA、AG、GG基因型频率分别为0.2%、9.3%、90.5%)与对照组(A、G等位基因频率分别为4.0%、96.O%,AA、AG、GG基因型频率分别为0.1%、7.8%、92.1%)比较,差异无统计学意义(P〉0.05)。rs1006737位点G等位基因(OR=1.332,95%CI=1.016~1.746)与精神分裂症相关联(P〈0.05)。结论本研究支持在汉族人群中CACNA1C基因rs1006737位点多态性与精神分裂症相关联。
Objective To explore the relationship of calcium channel,vohage-dependent,L type,alpha 1C subunit (CACNA1C) gene polymorphism with schizophrenia. Methods A total of 1 432 patients with schizophrenia and 1 153 healthy controls were selected using Ligase Detection Reaction-Polymerase Chain Reaction(LDR-PCR) to analyze the genotypes of CACNA1C gene (rs1006737 and rs1024582).Results The allelic and genotypic distributions in rs1006737 between patients with schizophrenia (A, G allele:5.3%,94.7% ; A/A, A/G, G/G genotypes : 0.2%, 10.2%, 89.6% ) and healthy controls ( A, G allele: 4.0%,96.0% ; A/A, A/G, G/G genotypes : 0.4%, 7.4%, 92.3% ) had statistically significance after analysis (P〈0.05) .The allelic and genotypic distributions in rs1024582 between patients with schizophrenia (A, G allde :4.9%, 95.1% ; A/A, A/G, G/G genotypes : 0.2%, 9.3%, 90.5% ) and healthy controls ( A, G allele : 4.0%,96.0% ; A/A, A/G, G/G genotypes :0.1%,7.8%, 92.1% ) did not have statistically significance after analysis (P〉0.05).The G allele of rs1006737 (OR= 1.332,95%CI= 1.016-1.746) was associated with the risk of schizophrenia (P〈 0.05 ). Conclusion This research supports that CACNA1C gene rs 1006737 polymorphism is associated with schizophrenia in Han Chinese.
出处
《中华行为医学与脑科学杂志》
CAS
CSCD
北大核心
2017年第10期895-898,共4页
Chinese Journal of Behavioral Medicine and Brain Science
基金
国家自然科学基金项目(81471364)
无锡市重点研究项目(YGZXZ1534)