Parametric and Nonparametric Linkage Analysis

Abstract

Parametric or model‐based linkage analysis assumes that models describing both the trait and marker loci are known without error. Nonparametric, model‐free or weakly parametric linkage methods make fewer assumptions about the trait model.

Keywords: power; type 1 error; heterogeneity; model‐based; bias

References

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Further Reading

Olson JM, Witte JS and Elston RC (1999) Tutorial in biostatistics: genetic mapping of complex traits. Statistics in Medicine 18: 2961–2981.

Ott J (1991) Analysis of Human Genetic Linkage. Baltimore, MD: Johns Hopkins University Press.

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Liang K‐Y and Self SG (1996) On the asymptotic behaviour of the pseudolikelihood ratio test statistic. Journal of the Royal Statistical Society 58 (Series B (Methodological)): 785–796.

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How to Cite close
Bailey‐Wilson, Joan E(Jan 2006) Parametric and Nonparametric Linkage Analysis. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1038/npg.els.0005403]