Piacentini Sara, Polimanti Renato, De Angelis Flavio, Iorio Andrea, Fuciarelli Maria
Department of Biology, University of Rome "Tor Vergata", Rome, Italy.
Ann Hum Genet. 2013 Sep;77(5):409-15. doi: 10.1111/ahg.12025. Epub 2013 Jun 3.
Several variants have been identified for genes encoding Glutathione S-transferase (GST) enzymes; some are associated with significant alteration of protein function. One of the most extensively studied is a copy number variant (CNV) in the GSTM1 gene. In this study, we compared phenotype (positive, null) and genotype (1/1, 1/0, 0/0) methods in order to assess dissimilarities obtained using these two different approaches to evaluate possible methodology-related bias. We analyzed a sample of 1947 individuals belonging to 18 human populations with different ethnic origins. We also evaluated whether the presence of missense substitutions in the GSTM1 gene might influence the association of the CNV with phenotype distribution. Through the comparison of GSTM1 CNV frequencies in phenotype and genotype among human populations, we observed that differences increase in high heterogeneous populations. Furthermore, we identified two missense variants (rs199816990 and rs202002774) that may distort the outcome of genetic association studies on Asian populations. These results indicate that the phenotype analysis may strongly alter the genetic association. Therefore, genotype discrimination analysis should be used to analyze GSTM1 CNV. To understand the role of GSTM1 in human health, the analysis of CNV should be combined with the investigation of single nucleotide polymorphisms with functional effect.
编码谷胱甘肽S-转移酶(GST)的基因已鉴定出多种变体;其中一些与蛋白质功能的显著改变有关。研究最为广泛的一种是GSTM1基因中的拷贝数变异(CNV)。在本研究中,我们比较了表型(阳性、缺失)和基因型(1/1、1/0、0/0)方法,以评估使用这两种不同方法获得的差异,从而评估可能存在的方法学相关偏差。我们分析了来自18个不同种族的人类群体的1947名个体的样本。我们还评估了GSTM1基因中错义替换的存在是否可能影响CNV与表型分布的关联。通过比较不同人群中表型和基因型的GSTM1 CNV频率,我们观察到在高度异质的人群中差异会增加。此外,我们鉴定出两个错义变体(rs199816990和rs202002774),它们可能会扭曲亚洲人群遗传关联研究的结果。这些结果表明,表型分析可能会强烈改变遗传关联。因此,应使用基因型判别分析来分析GSTM1 CNV。为了解GSTM1在人类健康中的作用,CNV分析应与具有功能效应的单核苷酸多态性研究相结合。