title: Identifying influential individuals in linkage analysis: application to a quantitative trait locus detected in the COGA data.
abstract: Once linkage is detected to a quantitative trait locus (QTL), the next step towards localizing the gene involved may be to identify those families, or individuals, in whom the putative mutations are segregating. In this paper, we describe a jackknife procedure for identifying individuals (and families) who contribute disproportionately to the linkage. Following initial detection of linkage to a QTL, the strategy involves sequentially removing each individual (or each family) from the analysis and recomputing the lod score associated with the linked region using data from all remaining subjects (or families). This procedure can be used to determine if particular observations have substantial impact on evidence for linkage. Identification of such observations may provide insights for further efforts to localize the QTL.
authors.affiliation: Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas 78245-0549, USA.
authors.forename: B D
authors.initials: BD
authors.lastname: Mitchell
authors.forename: S
authors.initials: S
authors.lastname: Ghosh
authors.forename: R M
authors.initials: RM
authors.lastname: Watanabe
authors.forename: S H
authors.initials: SH
authors.lastname: Slifer
authors.forename: W C
authors.initials: WC
authors.lastname: Hsueh
authors.forename: G
authors.initials: G
authors.lastname: Birznieks
mesh_terms: D000437:Alcoholism / Q000235:genetics* / Q000503:physiopathology; D002896:Chromosomes, Human, Pair 6; D018913:Event-Related Potentials, P300 / Q000235:genetics; D008040:Genetic Linkage; D005820:Genetic Testing; D006801:Humans; D008126:Lod Score; D019655:Quantitative Trait, Heritable; D015203:Reproducibility of Results