Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data

Citation
Bd. Mitchell et al., Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data, GENET EPID, 17, 1999, pp. S259-S264
Citations number
2
Categorie Soggetti
Molecular Biology & Genetics
Journal title
GENETIC EPIDEMIOLOGY
ISSN journal
07410395 → ACNP
Volume
17
Year of publication
1999
Supplement
1
Pages
S259 - S264
Database
ISI
SICI code
0741-0395(1999)17:<S259:IIIILA>2.0.ZU;2-S
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 famili es) who contribute disproportionately to the linkage. Following initial det ection of linkage to a QTL, the strategy involves sequentially removing eac h individual (or each family) from the analysis and recomputing the lod sco re associated with the linked region using data from all remaining subjects (or families). This procedure can be used to determine if particular obser vations have substantial impact on evidence for linkage. Identification of such observations may provide insights for further efforts to localize the QTL. (C) 1999 Wiley-Liss, Inc.