کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5738137 | 1615046 | 2017 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Common variants in GRIK4 and major depressive disorder: An association study in the Chinese Han 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: Common variants in GRIK4 and major depressive disorder: An association study in the Chinese Han population Common variants in GRIK4 and major depressive disorder: An association study in the Chinese Han population](/preview/png/5738137.png)
چکیده انگلیسی
Major depressive disorder (MDD) is a common and complex mental disorder. Recent studies found that genetic variants located in GRIK4, which encoded glutamate ionotropic receptor kainate type subunit 4, was associated with the MDD. In this study, we intended to investigate whether GRIK4 gene was associated with MDD. So five single nucleotide polymorphisms (SNPs) were selected and genotyped (rs79526501, rs11218016, rs4582985, rs6589847, rs56275759) in 568 MDD patients and 846 healthy controls from Chinese Han population. The results showed that rs56275759 demonstrated statistically significant differences between MDD patients and control subjects both in allelic frequencies (p value = 0.011) and genotypic frequencies (p value = 0.029). Rs4582985 was excluded from the further analysis for its deviation from the Hardy-Weinberg equilibrium. Strong linkage disequilibrium (LD) was found among rs11218016, rs6589847 and rs56275759, and this block was significantly associated with MDD. In summary, our results firstly indicated that rs56275759 of GRIK4 gene might be associated with MDD in Chinese Han population.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neuroscience Letters - Volume 653, 13 July 2017, Pages 239-243
Journal: Neuroscience Letters - Volume 653, 13 July 2017, Pages 239-243
نویسندگان
Decheng Ren, Yan Bi, Fei Xu, Weibo Niu, Rui Zhang, Jiaxin Hu, Zhenming Guo, Xi Wu, Yanfei Cao, Xiaoye Huang, Fengping Yang, Lu Wang, Weidong Li, Yifeng Xu, Lin He, Tao Yu, Guang He, Xingwang Li,