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Methodology for single nucleotide polymorphism selection in promoter regions for clinical use. An example of its applicability

机译:用于临床应用的启动子区域中单核苷酸多态性选择的方法学。其适用性的一个例子

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摘要

Genetic variability in humans can explain many differences in disease risk factors. Polymorphism-related studies focus mainly on the single nucleotide polymorphisms (SNPs) of coding regions of the genes. SNPs on DNA binding motifs of the promoter region have been less explored. On a recent study of SNPs in patients with non-Hodgkin lymphomas we faced the problem of SNP selection from promoter regions and developed a practical methodology for clinical studies. The process consists in identifying SNPs in the coding and promoter regions of the antigen-processing system using the ‘dbSNP’ database. With the ‘HapMap’ program, we select SNPs with frequencies >20% in Caucasian populations. For coding regions, we sought biologically and clinically relevant SNPs described in the literature. For the promoter regions, we determined their chromosomal location on ‘QiagenSABioscience’ site database. The nucleotide sequence of ancestral and variant alleles is available in the ‘dbSNP’. These sequences were used in ‘Promoter TESS’ to determine binding differences of transcription factors. Each sequence may have affinity to different TFs. Thus, SNP selection on the promoter regions was based in the differences on TF binding pattern between the old and the new allele. The potential clinical relevance of the new TFs was also evaluated before the final selection. With this approach, we found that almost half of the relevant SNP fall within the promoter region. In conclusion, we were able to develop a methodology of oriented selection of promoter regions of human genes, comparing the TF with affinity to the ancestral allele with the TF to a variant allele. We selected those SNPs that change the TF’s affinity to a pattern with functional significance.
机译:人类的遗传变异性可以解释疾病风险因素的许多差异。与多态性相关的研究主要集中在基因编码区的单核苷酸多态性(SNP)。对启动子区域的DNA结合基序上的SNP的研究较少。在最近对非霍奇金淋巴瘤患者中SNP的研究中,我们面临着从启动子区域选择SNP的问题,并开发了一种用于临床研究的实用方法。该过程包括使用“ dbSNP”数据库识别抗原加工系统的编码区和启动子区中的SNP。通过“ HapMap”程序,我们选择了白种人人口中频率> 20%的SNP。对于编码区,我们寻求文献中描述的生物学和临床相关的SNP。对于启动子区域,我们在“ QiagenSABioscience”站点数据库中确定了它们的染色体位置。 “ dbSNP”中提供了祖先和变异等位基因的核苷酸序列。这些序列用于“启动子TESS”中,以确定转录因子的结合差异。每个序列可以对不同的TF具有亲和力。因此,在启动子区域上的SNP选择是基于新旧等位基因之间的TF结合模式的差异。在最终选择之前,还评估了新TF的潜在临床相关性。通过这种方法,我们发现几乎一半的相关SNP都位于启动子区域内。总之,我们能够开发一种定向选择人类基因启动子区域的方法,将TF与祖先等位基因的亲和力与TF与变异等位基因进行比较。我们选择了将TF的亲和力更改为具有功能重要性的模式的SNP。

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