A coalescence-guided hierarchical Bayesian method for haplotype interface

Article Abstract:

A novel haplotype-inference method based on a coalescence-guided hierarchical Bayes model is reported, where a hierarchical structure is imposed on the prior haplotype frequency distributions to capture the similarities among modern-day haplotypes attributable to their common ancestry. Coalescence-based simulation and empirically generated data sets are used to demonstrate the merits of the new method in comparison with HAPLOTYPER and PHASE, with or without the presence of recombination hotspots and missing genotypes.

author: Yu Zhang, Tianhua Niu, Jun S. Liu
Bayesian statistical decision theory, Bayesian analysis

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Haplotype-based association analysis via variance-components score test

Article Abstract:

Report on the variance-components (VC)-score method which has a direct connection to the strategy of reducing the degrees of freedom in haplotype association tests through haplotype sharing is presented.

author: Jung-Ying Tzeng, Daowen Zhang
Genetic polymorphisms, Variance (Statistics), Report

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Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering

Article Abstract:

A new method and software system is presented for inference of haplotype phase and missing data which could accurately phase data from whole-genome association studies.

author: Browning, Sharon R., Browning, Brian L.
Algorithms, Allelomorphism, Alleles, Algorithm, Human genome

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subjects list: Research, Haplotypes, United States, Usage
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