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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
Publisher: University of Chicago Press
Publication Name: American Journal of Human Genetics
Subject: Biological sciences
ISSN: 0002-9297
Year: 2006
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
Publisher: University of Chicago Press
Publication Name: American Journal of Human Genetics
Subject: Biological sciences
ISSN: 0002-9297
Year: 2007
United States, Usage, Genetic polymorphisms, Variance (Statistics), Report

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Subjects list: Research, Haplotypes
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