病例-对照研究中遗传模型的估计  

Estimation of genetic inheritance in case-control studies

作　　者：李娜 李正帮[2] 朱家砚 LI Na;LI Zhengbang;ZHU Jiayan(School of Applied Science,Beijing Information Science and Technology University,100192,Beijing,China;School of Mathematics and Statistics,Central China Normal University,430079,Wuhan,Hubei,China;School of Information Engineering,Hubei University of Chinese Medicine,430065,Wuhan,Hubei,China)

机构地区：[1]北京信息科技大学理学院,北京100192 [2]华中师范大学数学与统计学院,湖北武汉430079 [3]湖北中医药大学信息工程学院,湖北武汉430065

出　　处：《北京师范大学学报（自然科学版）》2022年第2期186-192,共7页Journal of Beijing Normal University(Natural Science)

基　　金：北京市自然科学基金重点研究专题资助项目(Z180006);华中师范大学“中央高校基本科研业务费”资助项目(CCNU20TS002)。

摘　　要：在病例-对照研究中,针对选择遗传模型的问题,提出了对风险等位基因采用共显性编码,利用Logistic回归模型选择遗传模型.数值模拟结果表明:新方法比哈迪-温伯格平衡检验选择模型效果更好.将新方法应用于6个与乳腺癌有关、8个与II-型糖尿病有关的SNPs中,进一步验证了新方法的可行性和有效性.For selective genetic models,risk alleles were co-dominant coded.Logistic regression was used to select genetic model in case-control study.Numerical simulations show that our new method is more effective than Hardy-Weinberg equilibrium test to choose the genetic model.Applications to six single nucleotide polymorphisms(SNPs) for breast cancer and eight SNPs for Type 2 Diabetes further show the feasibility and effectiveness of our proposed method.

关 键 词：病例-对照研究 遗传模型 共显性编码 

分 类 号：O212.1[理学—概率论与数理统计]