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8p23 beta-defensin copy number determination by single-locus pseudogene-based paralog ratio tests risk bias due to low-frequency sequence variations

机译:通过基于单基因座假基因的旁系同源比确定8p23β-防御素拷贝数可测试低频序列变异引起的风险偏向

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Background The copy number variation (CNV) in beta-defensin genes (DEFB) on human chromosome 8p23 has been proposed to contribute to the phenotypic differences in inflammatory diseases. However, determination of exact DEFB CN is a major challenge in association studies. Quantitative real-time PCR (qPCR), paralog ratio tests (PRT) and multiplex ligation-dependent probe amplification (MLPA) have been extensively used to determine DEFB CN in different laboratories, but inter-method inconsistencies were observed frequently. In this study we asked which one is superior among the three methods for DEFB CN determination. Results We developed a clustering approach for MLPA and PRT to statistically correlate data from a single experiment. Then we compared qPCR, a newly designed PRT and MLPA for DEFB CN determination in 285 DNA samples. We found MLPA had the best convergence and clustering results of the raw data and the highest call rate. In addition, the concordance rates between MLPA or PRT and qPCR (32.12% and 37.99%, respectively) were unacceptably low with underestimated CN by qPCR. Concordance rate between MLPA and PRT (90.52%) was high but PRT systematically underestimated CN by one in a subset of samples. In these samples a sequence variant which caused complete PCR dropout of the respective DEFB cluster copies was found in one primer binding site of one of the targeted paralogous pseudogenes. Conclusion MLPA is superior to PRT and even more to qPCR for DEFB CN determination. Although the applied PRT provides in most cases reliable results, such a test is particularly sensitive to low-frequency sequence variations preferably accumulating in loci like pseudogenes which are most likely not under selective pressure. In the light of the superior performance of multiplex assays, the drawbacks of such single PRTs could be overcome by combining more test markers.
机译:背景技术已提出人类染色体8p23上的β-防御素基因(DEFB)中的拷贝数变异(CNV)有助于炎性疾病的表型差异。然而,精确的DEFB CN的确定是关联研究中的主要挑战。在不同实验室中,定量实时PCR(qPCR),旁系比测试(PRT)和多重连接依赖探针扩增(MLPA)已广泛用于确定DEFB CN,但是经常观察到方法间的不一致。在这项研究中,我们询问DEFB CN测定的三种方法中哪一种更好。结果我们开发了MLPA和PRT的聚类方法,以统计关联来自单个实验的数据。然后,我们比较了qPCR,这是一种新设计的PRT和MLPA,用于测定285个DNA样品中的DEFB CN。我们发现MLPA具有原始数据的最佳收敛和聚类结果,并且呼叫率最高。另外,MLPCR或PRT与qPCR之间的一致性率(分别为32.12%和37.99%)太低,而qPCR估计的CN却被低估了。 MLPA和PRT之间的一致性率很高(90.52%),但是PRT在样本子集中有一个系统地低估了CN。在这些样品中,在一个目标旁系假基因之一的一个引物结合位点中发现了导致各个DEFB簇拷贝完全PCR缺失的序列变异。结论MLPA在DEFB CN测定方面优于PRT,甚至优于qPCR。尽管所应用的PRT在大多数情况下可提供可靠的结果,但这种测试对低频序列变化特别敏感,低频序列变化最好在类似假基因的基因座中积累,而这些基因很可能不在选择压力下。鉴于多重分析的卓越性能,可以通过组合更多的测试标记物来克服此类单个PRT的缺点。

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