Latent class model with familial dependence to address heterogeneity in complex diseases: adapting the approach to family-based association studies.

ABSTRACT: Clinical diagnoses of complex diseases may often encompass multiple genetically heterogeneous disorders. One way of dissecting this heterogeneity is to apply latent class (LC) analysis to measurements related to the diagnosis, such as detailed symptoms, to define more homogeneous disease sub-types, influenced by a smaller number of genes that will thus be more easily detectable. We have previously developed a LC model allowing dependence between the latent disease class status of relatives within families. We have also proposed a strategy to incorporate the posterior probability of class membership of each subject in parametric linkage analysis, which is not directly transferable to genetic association methods. Under the framework of family-based association tests (FBAT), we now propose to

SUBMITTER: Bureau A 

PROVIDER: S-EPMC4000257 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature