Mixed effects modeling of proliferation rates in cell-based models: consequence for pharmacogenomics and cancer.

ABSTRACT: The International HapMap project has made publicly available extensive genotypic data on a number of lymphoblastoid cell lines (LCLs). Building on this resource, many research groups have generated a large amount of phenotypic data on these cell lines to facilitate genetic studies of disease risk or drug response. However, one problem that may reduce the usefulness of these resources is the biological noise inherent to cellular phenotypes. We developed a novel method, termed Mixed Effects Model Averaging (MEM), which pools data from multiple sources and generates an intrinsic cellular growth rate phenotype. This intrinsic growth rate was estimated for each of over 500 HapMap cell lines. We then examined the association of this intrinsic growth rate with gene expression levels and found tha

SUBMITTER: Im HK 

PROVIDER: S-EPMC3276560 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature