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Analysis of candidate genes of QTL and chromosomal regions for essential hypertension in the rat model

机译:大鼠原发性高血压的QTL和染色体区域候选基因分析

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This is an in silico analysis of quantitative trait loci (QTLs), genes, polymorphisms, and chromosomal regions regulating hypertension in the rat genome. Utilizing PGmapper, a program that matches phenoltypes to genes, we identified 266 essential hypertension-associated genes (HyperA), and 83 of these genes contain known hypertension-associated polymorphisms (HyperAP). The majority of HyperAP have been reported in recent years. Surprisingly, only a few of these HyperAP genes have been investigated for their candidacy as the QTL for hypertension. The frequency of candidate genes within peak regions of the QTL is higher than the rest of the QTL region. We also found that QTL located in both gene-rich regions and gene-rich chromosomes contained the most candidate genes. However, the number of candidate genes within a peak region is not associated with the number of total genes in a QTL region. This data could not only facilitate a more rapid and comprehensive identification for the causal genes underlying hypertension in rats, but also provides new insights into genomic structure in regulation of hypertension.
机译:这是对大鼠基因组中调控高血压的数量性状基因座(QTL),基因,多态性和染色体区域进行的计算机分析。利用将酚类与基因匹配的程序PGmapper,我们鉴定了266个与高血压相关的必需基因(HyperA),其中83个基因包含已知的与高血压相关的多态性(HyperAP)。近年来已报告了大多数HyperAP。出乎意料的是,仅研究了这些HyperAP基因中少数几个作为高血压QTL的候选资格。 QTL峰值区域内候选基因的频率高于QTL其余区域。我们还发现位于基因丰富区域和基因丰富染色体中的QTL包含最多的候选基因。但是,峰区域内候选基因的数量与QTL区域内总基因的数量无关。这些数据不仅有助于更快速,更全面地鉴定大鼠高血压的病因基因,而且还为调节高血压的基因组结构提供了新见识。

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