Conditional logistic regression analysis and path analysis of genetic factors on cerebral infarction

  Objective   To explore the relationship between genetic factors and the development of cerebral infarction.

  Methods   One hundred and twelve cases who were primary patients of cerebral infarction in the neurology department of the first and the second affiliated hosital of Zhangjiakou Medical College were selected.One hundred and twelve controls who were patients of no cerebral infarction in same hospital during the same period were selected by the 1B1 matched case-control study.One-way and multivariate conditional logistic reg ression analysis and path analysis were used to affirm the risk factors of cerebral infarction.

  Results   The incidence age of father and mother, the prevalence of siblings and second-degree relatives had positive relationship with cerebral infaction.The results of path analysis indicated that the residual variation was on the high side, and the ability of explanation was only 26%.

  Conclusion   Genetic factor played a role to some extent in the incidence of infarction.The study of path analysis showed that the genetic factor was only one of risk factors, the ability of explanation was only 26%, ther efore, the environment factor was more important than other factors.