An algorithm for haplotype analysis

作者：Lin SL^*; Speed TP

来源：Journal of Computational Biology, 1997, 4(4): 535-546.

DOI：10.1089/cmb.1997.4.535

• conditional distribution
• haplotype configuration
• Markov chain
• Monte Carlo

This paper proposes an algorithm for haplotype analysis based on a Monte Carlo method. Haplotype configurations are generated according to the distribution of joint haplotypes of individuals in a pedigree given their phenotype data, via a Markov chain Monte Carlo algorithm, The haplotype configuration which maximizes this conditional probability distribution can thus be estimated, In addition, the set of haplotype configurations with relatively high probabilities can also be estimated as possible alternatives to the most probable one, This flexibility enables geneticists to choose the haplotype configurations which are most reasonable to them, allowing them to include their knowledge of the data under analysis.

• 出版日期1997