A novel approach for identifying causal models of complex diseases from family data.

ABSTRACT: Causal models including genetic factors are important for understanding the presentation mechanisms of complex diseases. Familial aggregation and segregation analyses based on polygenic threshold models have been the primary approach to fitting genetic models to the family data of complex diseases. In the current study, an advanced approach to obtaining appropriate causal models for complex diseases based on the sufficient component cause (SCC) model involving combinations of traditional genetics principles was proposed. The probabilities for the entire population, i.e., normal-normal, normal-disease, and disease-disease, were considered for each model for the appropriate handling of common complex diseases. The causal model in the current study included the genetic effects from single gen

SUBMITTER: Park L 

PROVIDER: S-EPMC4391573 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature