کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9103458 | 1152802 | 2005 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A family based study of the genetic association between the PLA2G4D gene and schizophrenia
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موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
بیوشیمی بالینی
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چکیده انگلیسی
The present study detected two single nucleotide polymorphisms (SNPs) at the PLA2G4D locus, rs2459692 and rs4924618, to investigate a genetic association between the PLA2G4D gene and schizophrenia. A total of 236 Chinese parent-offspring trios of Han descent were recruited for the genetic analysis. The transmission disequilibrium test (TDT) did not show allelic association either for rs2459692 (Ï2=0.217, P=0.641) or for rs4924618 (Ï2=0.663, P=0.416). To see the combined effect of the PLA2G4D locus with the other three PLA2G4 genes, we applied the above two SNPs as a conditional marker to test the pair-wise combination for a disease association. The conditioning on allele (COA) test revealed a weak association for the rs2459692-PLA2G4A combination (Ï2=6.03, df=2, P=0.049), the rs2459692-PLA2G4B combination (Ï2=7.16, df=3, P=0.028) and the rs4924618-PLA2G4C combination (Ï2=7.01, df=2, P=0.03), whereas the conditioning on genotype (COG) test showed a weak association only for the rs4924618-PLA2G4C combination (Ï2=8.52, df=3, P=0.036). Because we performed a multi-locus analysis in this study, the weak association shown by the conditional tests could make little biological sense. In conclusion, the PLA2G4D gene may not be involved in a susceptibility to schizophrenia.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Prostaglandins, Leukotrienes and Essential Fatty Acids - Volume 73, Issue 6, December 2005, Pages 419-422
Journal: Prostaglandins, Leukotrienes and Essential Fatty Acids - Volume 73, Issue 6, December 2005, Pages 419-422
نویسندگان
Ran Tao, Yaqin Yu, Xiaojuan Zhang, Jieping Shi, Yingjun Guo, Chunxiu Wang, Baihui Han, Qi Xu, Hong Shang, Xuan Zhang, Lin Xie, Shuzheng Liu, Guizhi Ju, Yan Shen, Jun Wei,