title: Estimation of segregation and linkage parameters in simulated data. II. Simultaneous estimation with one linked marker.
abstract: This study examined the method of simultaneous estimation of recombination frequency and parameters for a qualitative trait locus and compared the results with those of standard methods of linkage analysis. With both approaches we were able to detect linkage of an incompletely penetrant qualitative trait to highly polymorphic markers with recombination frequencies in the range of .00-.05. Our results suggest that detecting linkage at larger recombination frequencies may require larger data sets or large high-density families. When applied to all families without regard to informativeness of the family structure for linkage, analyses of simulated data could detect no advantage of simultaneous estimation over more traditional and much less time-consuming methods, either in detecting linkage, estimating frequency, refining estimates of parameters for the qualitative trait locus, or avoiding false evidence for linkage. However, the method of sampling affected results.
authors.affiliation: Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia 19104-4283.
authors.forename: R A
authors.initials: RA
authors.lastname: Price
authors.forename: P L
authors.initials: PL
authors.lastname: Kramer
authors.forename: D L
authors.initials: DL
authors.lastname: Pauls
authors.forename: K K
authors.initials: KK
authors.lastname: Kidd
mesh_terms: D000483:Alleles; D005787:Gene Frequency; D008040:Genetic Linkage; D005826:Genetics, Medical; D006801:Humans; D008957:Models, Genetic; D011995:Recombination, Genetic