کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10768389 | 1050809 | 2005 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Positive association of the human GABA-A-receptor beta 2 subunit gene haplotype with schizophrenia in the Chinese Han population
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
زیست شیمی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A converging body of evidence implicates the γ-amino butyric acid neurotransmitter system in the pathogenesis of schizophrenia. Recently, Lo et al. reported strong positive association between schizophrenia and GABRB2, demonstrated by single markers and haplotypes of five markers in introns of GABRB2, rs6556547, rs1816071, rs194072, rs252944, and rs187269. To validate this linkage disequilibrium report, we genotyped these five SNPs and additional rs1816072 in 352 Chinese Han family trios. Though we failed to detect any positive results in single markers, we did find a significant haplotypic association (global p = 0.00157-0.00588) which had not been identified in Lo's study. Our data indicated that the haplotype 'GACTCT' (p = 0.00215, frequency = 53.6%) was overtransmitted which suggests that GABRB2 is in linkage disequilibrium with schizophrenia in the Chinese Han population. The difference between the two studies may be due to the respective analytic power of the two designs. These two independent studies highlighting linkage disequilibrium support the potential involvement of GABRB2 or a nearby gene in the genetic etiology of schizophrenia.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biochemical and Biophysical Research Communications - Volume 334, Issue 3, 2 September 2005, Pages 817-823
Journal: Biochemical and Biophysical Research Communications - Volume 334, Issue 3, 2 September 2005, Pages 817-823
نویسندگان
Jixia Liu, Yongyong Shi, Wei Tang, Tingwei Guo, Dawei Li, Yifeng Yang, Xinzhi Zhao, Hongsheng Wang, Xingwang Li, Guoyin Feng, Niufan Gu, Shaomin Zhu, Huijun Liu, Yangling Guo, Jianguo Shi, Hong Sang, Lijuan Yan, Lin He,