کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5738595 | 1615064 | 2016 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Association study of 5-HT1A, 5-HT2A polymorphisms with schizophrenia and major depressive disorder in the Han Chinese population
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Association study of 5-HT1A, 5-HT2A polymorphisms with schizophrenia and major depressive disorder in the Han Chinese population Association study of 5-HT1A, 5-HT2A polymorphisms with schizophrenia and major depressive disorder in the Han Chinese population](/preview/png/5738595.png)
چکیده انگلیسی
Schizophrenia (SZ) and major depressive disorder (MDD) are two common severe mental disorders that have arisen to public awareness in recent years. Serotonin (5-HT) receptors have been implicated in the pathophysiology of psychiatric disorders especially in MDD and SZ. The aim of this study is to explore whether the variants in the 5-HT1A and 5-HT2A gene are susceptible to SZ or MDD in the Chinese Han population. Five SNPs (Single Nucleotide Polymorphisms) (rs1364043, rs10042486, rs6313, rs6311, rs17289304) in these genes were genotyped from 752 SZ patients, 568 MDD patients, and 846 normal controls of Chinese Han origin. The results showed that the 5-HT1A rs10042486 was significantly associated with SZ (Pallele = 0.0369, Pgenotype = 0.0098). Moreover, the haplotype (C-T) composed of rs10042486 and rs1364043 showed significant difference between SZ cases and healthy controls (P = 0.0302) while another haplotype (T-G) was significant for MDD (P = 0.0247). Our study is the first to suggest a positive association of the 5-HT1A gene with SZ in the Han Chinese population.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience Letters - Volume 635, 2 December 2016, Pages 39-43
Journal: Neuroscience Letters - Volume 635, 2 December 2016, Pages 39-43
نویسندگان
Rui Zhang, Yan Bi, Weibo Niu, Xiaoye Huang, Shiqing Chen, Xingwang Li, Xi Wu, Yanfei Cao, Fengping Yang, Lu Wang, Weidong Li, Yifeng Xu, Lin He, Tao Yu, Guang He,