title: Identification and study of Utah pseudo-isolate populations-prospects for gene identification.
abstract: Isolate populations of varied types have proven powerful for gene identification for rare Mendelian disorders, and continue to show such promise for more complex phenotypes. Existing isolate populations are limited in the phenotypes available for study, and new population isolates are unlikely to arise. We utilize genealogical data available for the state of Utah, dating back to its European founders, to retrospectively define and examine pseudo-isolate subpopulations. These pseudo-isolate populations are defined by selection of a set of "founders" from the genealogical data, and then limitation of "immigration" by censoring of matings and offspring that do not match the isolate population design. A wide variety of pseudo isolate and other study designs are possible by varying the number and type of founders and the extent of immigration allowed. We present several different example Birth-Country pseudo-isolate populations defined within the Utah Population Database (UPDB). We utilize linked cancer phenotype data available for the Utah population to show the utility of this pseudo-isolate approach for identification of more genetically homogeneous prostate cancer pedigrees for predisposition gene identification. In conclusion, we present a unique approach to retrospective "creation" of isolate populations using existing genealogical data. We use the UPDB to exhibit the utility of this approach for the highly heterogeneous Utah population, and suggest the approach is feasible for any population for which high quality genealogy and phenotype data are available.
authors.affiliation: Division of Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, USA. lisa@genepi.med.utah.edu
authors.forename: L A
authors.initials: LA
authors.lastname: Cannon-Albright
authors.forename: J M
authors.initials: JM
authors.lastname: Farnham
authors.forename: A
authors.initials: A
authors.lastname: Thomas
authors.forename: N J
authors.initials: NJ
authors.lastname: Camp
mesh_terms: D019992:Databases as Topic / Q000706:statistics & numerical data; D005260:Female; D018703:Founder Effect; D005828:Genetics, Population; D006801:Humans; D008297:Male; D009369:Neoplasms / Q000235:genetics; D010375:Pedigree; D012641:Selection, Genetic; D014589:Utah