AI Article Synopsis

  • The study aimed to investigate allele combinations of three specific genetic loci associated with liver and stomach cancers, hematencephalon, and COPD in Chinese patients.
  • Researchers utilized various statistical methods to analyze the relationship between genotype and phenotype, focusing on the results from allele combinations using different value and ratio methods.
  • Findings indicate that these three-locus allele combination methods can effectively reveal significant genetic differences between patients and the normal population, potentially aiding in early disease diagnosis.

Article Abstract

The purpose of this study was to examine the specific allele combinations of three loci connected with the liver cancers, stomach cancers, hematencephalon and patients with chronic obstructive pulmonary disease (COPD) and to explore the feasibility of the research methods. We explored different mathematical methods for statistical analyses to assess the association between the genotype and phenotype. At the same time we still analyses the statistical results of allele combinations of three loci by difference value method and ratio method. All the DNA blood samples were collected from patients with 50 liver cancers, 75 stomach cancers, 50 hematencephalon, 72 COPD and 200 normal populations. All the samples were from Chinese. Alleles from short tandem repeat (STR) loci were determined using the STR Profiler plus PCR amplification kit (15 STR loci). Previous research was based on combinations of single-locus alleles, and combinations of cross-loci (two loci) alleles. Allele combinations of three loci were obtained by computer counting and stronger genetic signal was obtained. The methods of allele combinations of three loci can help to identify the statistically significant differences of allele combinations between liver cancers, stomach cancers, patients with hematencephalon, COPD and the normal population. The probability of illness followed different rules and had apparent specificity. This method can be extended to other diseases and provide reference for early clinical diagnosis.

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http://dx.doi.org/10.1016/j.gene.2016.12.031DOI Listing

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