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Distributions of allele combination in single and cross loci among patients with several kinds of chronic diseases and the normal population

机译:几种慢性病患者和正常人群中单基因座和交叉基因座的等位基因组合分布

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摘要

Genetic research has progressed along with scientific and technological developments. However, it is difficult to identify frequency differences in a particular allele distribution at a single locus. Such differences can be identified by examining the allele combination distribution. We explored different mathematical methods for statistical analyses to assess the association between the genotype and phenotype. We investigated the frequency distributions of alleles, combinations of single-locus genes, and combinations of cross-loci genes at 15 loci using 447 blood samples of 200 normal subjects, 72 patients with chronic obstructive pulmonary resistance, 50 liver cancers, 75 stomach cancers and 50 hematencephalon and identified each population as having a unique gene distribution and that the distribution followed certain rules. The probability of illness followed different rules and had apparent specificity. Differences obtained using statistics of combinations of cross-loci genes are superior to single-locus gene statistics, and combinations of single-locus gene statistics are better than allelic statistics. (C) 2015 Elsevier Inc. All rights reserved.
机译:基因研究随着科学技术的发展而发展。但是,很难在单个位点识别特定等位基因分布中的频率差异。可以通过检查等位基因组合分布来识别此类差异。我们探索了不同的数学方法进行统计分析,以评估基因型和表型之间的关联。我们使用200名正常人的447份血液样本,72例慢性阻塞性肺阻力患者,50例肝癌,75例胃癌和15例人群的15个基因座,调查了等位基因,单基因座基因组合和跨基因组基因组合的频率分布。 50个头脑,并确定每个人群具有独特的基因分布,并且该分布遵循某些规则。患病的可能性遵循不同的规则,并且具有明显的特异性。使用跨基因座基因组合的统计数据获得的差异优于单基因座基因统计,并且单基因座基因统计数据的组合优于等位基因统计。 (C)2015 Elsevier Inc.保留所有权利。

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