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

International journal of molecular epidemiology and genetics Pub Date : 2016-09-30 eCollection Date: 2016-01-01
Herlander Marques, José Freitas, Rui Medeiros, Adhemar Longatto-Filho
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Abstract

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.

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用于临床的启动子区域单核苷酸多态性筛选方法。举例说明其适用性。
人类的遗传变异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(SNPs)上。对启动子区域 DNA 结合基团的 SNP 的研究较少。在最近一项关于非霍奇金淋巴瘤患者 SNPs 的研究中,我们遇到了从启动子区域选择 SNPs 的问题,并开发了一种实用的临床研究方法。这一过程包括利用 "dbSNP "数据库识别抗原处理系统编码区和启动子区的 SNPs。通过 "HapMap "程序,我们选择了在高加索人群中频率大于 20% 的 SNPs。对于编码区,我们寻找文献中描述的生物学和临床相关的 SNPs。对于启动子区域,我们在 "QiagenSABioscience "位点数据库中确定了它们的染色体位置。祖先和变异等位基因的核苷酸序列可在 "dbSNP "中找到。这些序列被用于 "启动子 TESS",以确定转录因子的结合差异。每个序列可能与不同的转录因子有亲和力。因此,启动子区域的 SNP 选择基于新旧等位基因之间 TF 结合模式的差异。在最终选择之前,我们还评估了新 TFs 的潜在临床相关性。通过这种方法,我们发现几乎有一半的相关 SNP 位于启动子区域。总之,通过比较与祖先等位基因亲和的 TF 和与变异等位基因亲和的 TF,我们开发出了一种定向选择人类基因启动子区域的方法。我们选择了那些能改变 TF 亲和力的 SNPs,这些 SNPs 的模式具有功能意义。
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