Literature DB >> 28042088

The allele combinations of three loci based on, liver, stomach cancers, hematencephalon, COPD and normal population: A preliminary study.

Liping Gai1, Hui Liu2, Jing-Hui Cui1, Weijian Yu1, Xiao-Dong Ding1.   

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.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Allele; Allele combinations of three loci; COPD; Cancer; Hematencephalon; STR

Mesh:

Year:  2016        PMID: 28042088     DOI: 10.1016/j.gene.2016.12.031

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  2 in total

1.  An Angle Compared Index with Hybrid of Changes in the Ratio and Amplitude for Quantitative Evaluation of Disease Risk, Biological Function, and Biomarker Efficacy.

Authors:  Jin Xiaojun; Liu Hui
Journal:  Biomed Res Int       Date:  2019-08-05       Impact factor: 3.411

2.  Two Time Point Analysis of the Change in Risk and Aging Factors for Major Cancers: A 10-Year Longitudinal Study in China.

Authors:  Liu Hui
Journal:  Biomed Res Int       Date:  2020-05-06       Impact factor: 3.411

  2 in total

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