title: Selecting pedigrees for linkage analysis of a quantitative trait: the expected number of informative meioses.
abstract: With evidence of segregation at a major locus for a quantitative trait having been found, a logical next step is to select a subset of the pedigrees to include in a linkage study to map the major locus. Ideally this subset should include much of the linkage information in the sample but include only a fraction of the pedigrees. We previously described a strategy for selecting pedigrees for linkage analysis of a quantitative trait on the basis of a pedigree likelihood-ratio statistic. For quantitative traits controlled by a major locus with a rare dominant allele, the likelihood-ratio strategy extracted nearly all the information for linkage while typically requiring marker data on only about one-third of the pedigrees. Here, we describe a new strategy to select pedigrees for linkage analysis on the basis of the expected number of potentially informative meioses in each pedigree. We demonstrate that this informative-meioses strategy provides an efficient and more general means to select pedigrees for a linkage study of a quantitative trait.
authors.affiliation: Department of Biostatistics, University of Michigan, Ann Arbor 48109.
authors.forename: M
authors.initials: M
authors.lastname: Boehnke
authors.forename: K H
authors.initials: KH
authors.lastname: Omoto
authors.forename: J M
authors.initials: JM
authors.lastname: Arduino
mesh_terms: D005260:Female; D008040:Genetic Linkage; D006801:Humans; D008297:Male; D008540:Meiosis; D008957:Models, Genetic; D010375:Pedigree