Power of variance component linkage analysis to detect epistasis

Braxton D. Mitchell, Soumitra Ghosh, Jennifer L. Schneider, Gunther Birznieks, John Blangero

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

Variance component methods are now being used in linkage analysis to detect genes influencing complex diseases. These methods are easily extended to allow for simultaneous estimation of both the additive effects of multiple loci on phenotypic variation (conditional oligogenic analysis) and the additive interaction (epistatic) effects among loci. We performed linkage analyses on 200 of the simulated replicates in order to evaluate the power to detect the main effects of MG1 and MG2 on Q1 as well as their interaction effects. The power to detect the main effect of MG1 was moderately good, although the power to detect MG2 and the MG1 x MG2 interaction was poor.

Original languageEnglish (US)
Pages (from-to)1017-1022
Number of pages6
JournalGenetic Epidemiology
Volume14
Issue number6
DOIs
StatePublished - 1997
Externally publishedYes

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Keywords

  • Epistasis
  • Linkage
  • Power
  • Simulation

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Cite this

Power of variance component linkage analysis to detect epistasis. / Mitchell, Braxton D.; Ghosh, Soumitra; Schneider, Jennifer L.; Birznieks, Gunther; Blangero, John.

In: Genetic Epidemiology, Vol. 14, No. 6, 1997, p. 1017-1022.

Research output: Contribution to journalArticle

Mitchell, BD, Ghosh, S, Schneider, JL, Birznieks, G & Blangero, J 1997, 'Power of variance component linkage analysis to detect epistasis', Genetic Epidemiology, vol. 14, no. 6, pp. 1017-1022. https://doi.org/10.1002/(SICI)1098-2272(1997)14:6<1017::AID-GEPI76>3.0.CO;2-L
Mitchell, Braxton D. ; Ghosh, Soumitra ; Schneider, Jennifer L. ; Birznieks, Gunther ; Blangero, John. / Power of variance component linkage analysis to detect epistasis. In: Genetic Epidemiology. 1997 ; Vol. 14, No. 6. pp. 1017-1022.
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