Journal
AMERICAN JOURNAL OF HUMAN GENETICS
Volume 73, Issue 5, Pages 1162-1169Publisher
UNIV CHICAGO PRESS
DOI: 10.1086/379378
Keywords
-
Categories
Funding
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [R01HG002585] Funding Source: NIH RePORTER
- NHGRI NIH HHS [1R01HG/LM02585-01] Funding Source: Medline
Ask authors/readers for more resources
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).
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available