title: Mixture distributions in human genetics research.
abstract: The use of mixture distributions in genetics research dates back to at least the late 1800s when Karl Pearson applied them in an analysis of crab morphometry. Pearson's use of normal mixture distributions to model the mixing of different species of crab (or 'families' of crab as he referred to them) within a defined geographic area motivated further use of mixture distributions in genetics research settings, and ultimately led to their development and recognition as intuitive modelling devices for the effects of underlying genes on quantitative phenotypic (i.e. trait) expression. In addition, mixture distributions are now used routinely to model or accommodate the genetic heterogeneity thought to underlie many human diseases. Specific applications of mixture distribution models in contemporary human genetics research are, in fact, too numerous to count. Despite this long, consistent and arguably illustrious history of use, little mention of mixture distributions in genetics research is made in many recent reviews on mixture models. This review attempts to rectify this by providing insight into the role that mixture distributions play in contemporary human genetics research. Tables providing examples from the literature that describe applications of mixture models in human genetics research are offered as a way of acquainting the interested reader with relevant studies. In addition, some of the more problematic aspects of the use of mixture models in genetics research are outlined and addressed.
authors.affiliation: Department of Genetics, Case Western Reserve University, Cleveland, Ohio 44109-1998, USA.
authors.forename: N J
authors.initials: NJ
authors.lastname: Schork
authors.forename: D B
authors.initials: DB
authors.lastname: Allison
authors.forename: B
authors.initials: B
authors.lastname: Thiel
mesh_terms: D018740:Genetic Heterogeneity; D008040:Genetic Linkage; D005821:Genetic Techniques / Q000706:statistics & numerical data*; D005828:Genetics, Population; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical