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Measuring gametic disequilibrium from multilocus data

Ayres, K. L. and Balding, D. J. (2001) Measuring gametic disequilibrium from multilocus data. Genetics, 157 (1). pp. 413-423. ISSN 0016-6731

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Official URL: http://www.genetics.org/content/157/1/413.abstract

Abstract/Summary

We describe a Bayesian approach to analyzing multilocus genotype or haplotype data to assess departures from gametic (linkage) equilibrium. Our approach employs a Markov chain Monte Carlo (MCMC) algorithm to approximate the posterior probability distributions of disequilibrium parameters. The distributions are computed exactly in some simple settings. Among other advantages, posterior distributions can be presented visually, which allows the uncertainties in parameter estimates to be readily assessed. In addition, background knowledge can be incorporated, where available, to improve the precision of inferences. The method is illustrated by application to previously published datasets; implications for multilocus forensic match probabilities and for simple association-based gene mapping are also discussed.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical and Physical Sciences > Department of Mathematics and Statistics
ID Code:18641
Additional Information:The full text of this article is freely available via PMC using the link supplied in Related URLs

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