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1篇 您的检索式：作者名="Binyin Hou"

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		题名	作者	年代	出处	被引量
	1	Association between SLC17A7 gene polymorphisms and venlafaxine for major depressive disorder in a Chinese Han population:a prospective pharmacogenetic case-control study显示文摘Objective: Venlafaxine is a common antidepressant and its therapeutic effect varies among people with different genetic backgrounds. The aim of this study was to investigate whether single nucleotide polymorphisms (SNPs) in theSLC17A7 gene are associated with the treatment outcome of venlafaxine in a Chinese Han population with major depressive disorder.Methods: This prospective pharmacogenetic case-control study that involved genotyping of four SNPs ofSLC17A7 was conducted on 175 major depressive disorder patients of Chinese Han origin, aged 18 to 65 years, participated in the study from April 2005 to September 2006. Comparisons of allele and genotype frequencies of all SNPs were performed between the responder/remission group and the nonresponder/nonremission group. This study was approved by the Institutional Ethics Committee of Sichuan University (approval No. 20151112-265).Results: The allele and genotype frequencies of the four candidate SNPs inSCL17A7 showed no significant difference between responders and nonresponders. Meanwhile, no significant difference was detected in the four investigatedSLC17A7 SNPs between patients who did and did not exhibit remission. Although one of the investigatedSLC17A7 variants (rs1578944) demonstrated a significant association (P=0.022) with a response to venlafaxine after 6 weeks of treatment in the survival analysis, the association was unclear after a Bonferroni multiple comparisons test was conducted.Conclusion: No significant association exists between the four candidate SNPs (rs1043558, rs1320301, rs1578944, and rs74174284) inSLC17A7 and venlafaxine treatment in the Chinese Han population.	Liangile Liu Decheng Ren Fan Yuan Yan Bi Zhenming Guo Gaini Ma Fei Xu Binyin Hou Lei Ji Zhixuan Chen Lin An Naixin Zhang Tao Yu Xingwang Li Fengping Yang Xueli Sun Zaiquan Dong Shunying Yu Zhenghui Yi Yifeng Xu Lin He Shaochang Wu Longyou Zhao Changqun Cai Guang He Yi Shi	2021	Journal of Bio-X Research2021，4，3：	0

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