Mixed modeling and multiple imputation for unobservable genotype clusters.

ABSTRACT: Understanding the genetic contributions to complex diseases will require consideration of interaction across multiple genes and environmental factors. At the same time, capturing information on allelic phase, that is, whether alleles within a gene are in cis (on the same chromosome) or in trans (on different chromosomes), is critical when using haplotypic approaches in disease association studies. This paper proposes a combination of mixed modeling and multiple imputation for assessing high-order genotype-phenotype associations while accounting for the uncertainty in phase inherent in population-based association studies. This method provides a flexible statistical framework for controlling for potential confounders and assessing gene-environment and gene-gene interactions in studies of un

SUBMITTER: Foulkes AS 

PROVIDER: S-EPMC3108436 | biostudies-literature | 2008 Jul

REPOSITORIES: biostudies-literature