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Calculation of multipoint likelihoods using flanking marker data: a simulation study
Journal article   Open access   Peer reviewed

Calculation of multipoint likelihoods using flanking marker data: a simulation study

Andrew W George, LaVonne A Mangin, Christopher W Bartlett, Mark W Logue, Alberto M Segre and Veronica J Vieland
BMC genetics, Vol.6(Suppl 1), pp.S44-S44
12/30/2005
DOI: 10.1186/1471-2156-6-S1-S44
PMCID: PMC1866740
PMID: 16451655
url
https://doi.org/10.1186/1471-2156-6-S1-S44View
Published (Version of record) Open Access

Abstract

The calculation of multipoint likelihoods is computationally challenging, with the exact calculation of multipoint probabilities only possible on small pedigrees with many markers or large pedigrees with few markers. This paper explores the utility of calculating multipoint likelihoods using data on markers flanking a hypothesized position of the trait locus. The calculation of such likelihoods is often feasible, even on large pedigrees with missing data and complex structures. Performance characteristics of the flanking marker procedure are assessed through the calculation of multipoint heterogeneity LOD scores on data simulated for Genetic Analysis Workshop 14 (GAW14). Analysis is restricted to data on the Aipotu population on chromosomes 1, 3, and 4, where chromosomes 1 and 3 are known to contain disease loci. The flanking marker procedure performs well, even when missing data and genotyping errors are introduced.
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