应用Logistic回归探讨MDR交互的具体方式与效应大小

石修权; 王增珍

doi:10.13406/j.cnki.cyxb.2010.11.039

您当前的位置：

首页 >

文章列表页 >

应用Logistic回归探讨MDR交互的具体方式与效应大小

技术与方法 | 更新时间：2024-01-17

- 应用Logistic回归探讨MDR交互的具体方式与效应大小
- Application of Logistic regression to explore the form and effect size of the interaction in MDR
- 重庆医科大学学报 2010年35卷第11期页码：1697-1699
- 作者机构：
  
  1. 遵义医学院预防医学系流行病与卫生统计教研室
  2. 华中科技大学同济医学院公卫学院流行病与卫生统计学系
- 作者简介：
- 基金信息：
- DOI：10.13406/j.cnki.cyxb.2010.11.039
  中图分类号： R73-31
- 纸质出版日期：2010，
扫描看全文
[1]石修权,王增珍.应用Logistic回归探讨MDR交互的具体方式与效应大小[J].重庆医科大学学报,2010,35(11):1697-1699.

SHI Xiu-quan, et al. Application of Logistic regression to explore the form and effect size of the interaction in MDR[J]. Journal of Chongqing Medical University, 2010,35(11):1697-1699.
[1]石修权,王增珍.应用Logistic回归探讨MDR交互的具体方式与效应大小[J].重庆医科大学学报,2010,35(11):1697-1699. DOI： 10.13406/j.cnki.cyxb.2010.11.039.

SHI Xiu-quan, et al. Application of Logistic regression to explore the form and effect size of the interaction in MDR[J]. Journal of Chongqing Medical University, 2010,35(11):1697-1699. DOI： 10.13406/j.cnki.cyxb.2010.11.039.

摘要

目的:探讨在分析基因、环境交互作用时

用Logistic回归分析多因子降维（Multifactor dimensionality reduction

MDR）所得交互模型的具体形式和效应大小是否可行。方法:以多环芳烃（Polycyclic aromatic hydrocarbons

PAHs）与肺癌风险的病例对照研究为例

采用MDR分析其基因-基因及基因-环境的交互效应

找出最优模型并用Logistic回归对交互效应的形式和效应大小进行补充分析。结果:在MDR发现的最佳三阶交互模型的基础上发现"rs4646782*rs2158041"基因多态性具有相乘效应

"rs4646782+rs2158041+smokingyear"具有相加效应

前者乘积及后者的和每增大1个取值单位

其肺癌发病风险分别增加0.097和0.199倍。结论:结果提示Logistic回归可用于对MDR法所得到的交互模型的具体形式和效应大小进行补充分析。

Abstract

Objective:To explore how to use Logistic regression model to analyze the form and effect size of the gene-gene-environment interaction after MDR analysis.Methods:Data of a case-control study which focused on the relationship of PAHs and lung cancer were used.After the gene-gene interactions as well as the gene-environment interactions models were built by the MDR software

logistic regression was carried out to further search the form and the effect size of the interaction as a supplement to MDR. Results:The combination of "rs4646782*rs2158041" gene polymorphisms had the multiplication effect

and "rs4646782+rs2158041+smoking year" had the additive effect;lung cancer risk were increased 0.097 or 0.199 times as values of the product or the additive of the interaction terms were increased one unit

respectively.Conclusions:Our findings suggested that the logistic regression could be used as a supplementary method after MDR to analyze the form and the effect size of the interaction.

关键词

多因子降维法交互作用logistic回归

Keywords

MDRInteractionlogistic regression

references

浏览量

327

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

后入路胸腰椎结核患者术后切口愈合不良的危险因素分析：1项单中心回顾性观察队列研究

生活方式与家族史对心血管代谢疾病的交互作用分析

复杂性肛瘘术后肛门失禁风险预测模型的建立及评价

IRS2基因Gly1057Asp与环境交互对2型糖尿病易感性的影响

中国4直辖市乳腺癌危险因素的病例对照研究