PubMed · 11793695
Association analysis in a variance components framework.
Abstract
Association analyses conducted in a variance components framework can include information from all available individuals but remain unbiased in the presence of familiality or linkage. Models that include both linkage and association parameters provide different estimates of the effect of a single locus and can be used to distinguish causal polymorphisms from other types of variation. We examine some of these models and their properties in a blind analysis of the simulated Genetic Analysis Workshop 12 data sets.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
G R Abecasis, L R Cardon, W O Cookson, P C Sham, S S Cherny. 2001. Association analysis in a variance components framework.. https://doi.org/10.1002/gepi.2001.21.s1.s341
Cite the original work for its findings. Save a collection to share your selection of sources.