Literature DB >> 10597446

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

B D Mitchell1, S Ghosh, R M Watanabe, S H Slifer, W C Hsueh, G Birznieks.   

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.

Mesh:

Year:  1999        PMID: 10597446     DOI: 10.1002/gepi.1370170744

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  1 in total

1.  Genomewide linkage survey of nicotine dependence phenotypes.

Authors:  Patrick F Sullivan; Po-Hsiu Kuo; B Todd Webb; Michael C Neale; Jen Vittum; Helena Furberg; Dermot Walsh; Diana G Patterson; Brien Riley; Carol A Prescott; Kenneth S Kendler
Journal:  Drug Alcohol Depend       Date:  2007-11-19       Impact factor: 4.492

  1 in total

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