title: A Monte Carlo method for combined segregation and linkage analysis.
abstract: We introduce a Monte Carlo approach to combined segregation and linkage analysis of a quantitative trait observed in an extended pedigree. In conjunction with the Monte Carlo method of likelihood-ratio evaluation proposed by Thompson and Guo, the method provides for estimation and hypothesis testing. The greatest attraction of this approach is its ability to handle complex genetic models and large pedigrees. Two examples illustrate the practicality of the method. One is of simulated data on a large pedigree; the other is a reanalysis of published data previously analyzed by other methods.
authors.affiliation: Department of Biostatistics, University of Michigan, Ann Arbor.
authors.forename: S W
authors.initials: SW
authors.lastname: Guo
authors.forename: E A
authors.initials: EA
authors.lastname: Thompson
mesh_terms: D000465:Algorithms; D005260:Female; D008040:Genetic Linkage / Q000235:genetics*; D006801:Humans; D006937:Hypercholesterolemia / Q000235:genetics; D008126:Lod Score; D008297:Male; D008957:Models, Genetic; D009010:Monte Carlo Method; D010375:Pedigree; D011973:Receptors, LDL / Q000235:genetics
chemical_list: D011973:Receptors, LDL