基于双生子数据的动态遗传模型研究

Human complex disease attracts people’s attention substantially in the world since its severe effects on human being. To investigate the complex disease, we first need to make clear its genetic effect, environmental effect and to calculate the heritability. Heritability is an important index to measure genetic effects as well as to provide guidelines for identifying the genetic susceptibilities for human complex disease. The existing genetic models for estimating the heritability simply assume that the genetic effect and the environmental effect would not vary with age, which might not reflect the dynamic chances of genetic and environmental effects as well as provide little information for how to design the gene mapping. In this project, we will study the dynamic genetic model for quantitative and categorical traits based on longitudinal twin data, and investigate how to incorporate the dynamitic genetic information into the genome-wide association studies (GWAS).

复杂疾病严重威胁着人类的健康，受到世界各国人民的普遍关注。研究复杂疾病首先要清楚复杂疾病的遗传因素、环境因素的影响，计算遗传率。遗传率是刻画复杂疾病遗传信息、指导寻找复杂疾病易感基因的重要指标。已有的计算遗传率的遗传模型均在假设遗传因素、环境因素的影响不会随着年龄的变化而改变。这种静态遗传模型不能反映遗传因素、环境因素的变化规律，同时也不利于指导下一步基因定位。本项目基于纵向双生子数据构建定量及定性性状的动态遗传模型，并研究如何利用动态遗传信息进行全基因组关联研究。

复杂疾病严重威胁着人类的健康，受到世界各国人民的普遍关注。研究复杂疾病首先要清楚复杂疾病的遗传因素、环境因素的影响，计算遗传率。遗传率是刻画复杂疾病遗传信息、指导寻找复杂疾病易感基因的重要指标。已有的计算遗传率的遗传模型均在假设遗传因素、环境因素的影响不会随着年龄的变化而改变。这种静态遗传模型不能反映遗传因素、环境因素的变化规律，同时也不利于指导下一步基因定位。本项目基于纵向双生子数据构建定量及定性性状的动态遗传模型，并研究如何利用动态遗传信息进行全基因组关联研究。