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Identifying influential individuals in linkage analysis: Application to a quantitative trait locus detected in the COGA data
Author(s) -
Mitchell Braxton D.,
Ghosh Soumitra,
Watanabe Richard M.,
Slifer Susan H.,
Hsueh WenChi,
Birznieks Gunther
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170744
Subject(s) - quantitative trait locus , linkage (software) , genetic linkage , family based qtl mapping , jackknife resampling , trait , biology , locus (genetics) , genetics , gene , gene mapping , computer science , statistics , mathematics , estimator , chromosome , programming language
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.