具有遗传性疾病和性状的遗传位点分析

为便于进行数据分析,首先将数据中的位点信息由原来字母编码方式转换为数值编码的方式,根据位点的编码信息和患病信息,采用Logistic回归的方法,找出某种疾病最有可能的一个或几个致病位点,同时采用显著性检验进一步对建立的模型进行检验,证明了建立结果的合理性。此外,通过主成分分析,从原有的300个主成分中取出了225个主成分尽可能多地反映原来基因变量的信息,再通过主成分Logistic回归分析找出与疾病最有可能相关的一个或几个基因。最后,采用典型相关分析找出与相关性状有关联的基因位点。

Genetic loci analysis of inherited diseases and traits

For the convenience of data analysis, the SNPs information in data conversion from the original letter encoding for the numerical encoding, according to the encoding information of the SNPs and disease information , to find out one or several SNPs relating to a disease most likely by using the Logistics regression analysis, at the same time, the significance test was used to test the established model. In addition, 225 principal components can be extracted from the original 300 principal components by principal component analysis, as much as possible to reflect the information of the original gene variable, and then the principal component Logistic regression analysis is used to find one or several genes most likely to be related to the disease. Finally, the canonical correlation analysis was used to identify the SNPs associated with the correlation.