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      A comparison of bayesian methods for haplotype reconstruction from population genotype data.

      American Journal of Human Genetics

      Algorithms, Software, Research Design, Models, Genetic, Internet, Humans, genetics, Haplotypes, methods, Genetics, Population, Bayes Theorem

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          Abstract

          In this report, we compare and contrast three previously published Bayesian methods for inferring haplotypes from genotype data in a population sample. We review the methods, emphasizing the differences between them in terms of both the models ("priors") they use and the computational strategies they employ. We introduce a new algorithm that combines the modeling strategy of one method with the computational strategies of another. In comparisons using real and simulated data, this new algorithm outperforms all three existing methods. The new algorithm is included in the software package PHASE, version 2.0, available online (http://www.stat.washington.edu/stephens/software.html).

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          Journal
          14574645
          1180495
          10.1086/379378

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