| 病例-对照研究中遗传模型的估计 |
| |
| 引用本文： | 李娜,李正帮,朱家砚. 病例-对照研究中遗传模型的估计[J]. 北京师范大学学报(自然科学版), 2022, 58(2): 186-192. DOI: 10.12202/j.0476-0301.2021215 |
| |
| 作者姓名： | 李娜 李正帮 朱家砚 |
| |
| 作者单位： | 1.北京信息科技大学理学院，100192，北京 |
| |
| 基金项目： | 北京市自然科学基金重点研究专题资助项目（Z180006）； |
| |
| 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．
|
| 关 键 词： | 病例-对照研究 遗传模型 共显性编码 |
| 收稿时间： | 2021-08-30 |
Estimation of genetic inheritance in case-control studies |
| |
| Affiliation: | 1.School of Applied Science, Beijing Information Science and Technology University, 100192, Beijing, China2.School of Mathematics and Statistics, Central China Normal University, 430079, Wuhan, Hubei, China3.School of Information Engineering, Hubei University of Chinese Medicine, 430065, Wuhan, Hubei, China |
| |
| Abstract: | 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． |
| |
| Keywords: | |
|
| 点击此处可从《北京师范大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《北京师范大学学报(自然科学版)》下载全文 |
|
