Title
Efficient inference on known phylogenetic trees using Poisson regression.
Abstract
We suggest the use of Poisson regression for time inference and hypothesis testing on a bifurcating Phylogenetic tree with known topology. This method is computationally simple and naturally accommodates variable substitution rates across different sites, without requiring the estimation of these rates. We identify the assumptions under which this is a maximum-likelihood inference approach and show that in some realistic situations--in particular, when the probability of repeated mutation within each branch of the tree is small--these assumptions hold with high probability.Our motivating domain is human mitochondrial DNA trees, and we illustrate our method on a problem of estimating the time to most recent common ancestor of all non-African mtDNA, using publicly available data. We test for molecular clock violations using multiple comparisons, and conclude that the global molecular clock hypothesis cannot be rejected based on these data.
Year
DOI
Venue
2007
10.1093/bioinformatics/btl306
Bioinformatics
Keywords
Field
DocType
available data,maximum-likelihood inference approach,phylogenetic tree,time inference,hypothesis testing,human mitochondrial dna tree,molecular clock violation,global molecular clock,efficient inference,bifurcating phylogenetic tree,high probability,poisson regression,human mitochondrial dna,multiple comparisons,hypothesis test,molecular clock
Phylogenetic tree,Inference,Computer science,Multiple comparisons problem,Poisson regression,Bioinformatics,Most recent common ancestor,Statistics,Statistical hypothesis testing,Molecular clock
Journal
Volume
Issue
ISSN
23
2
1367-4811
Citations 
PageRank 
References 
0
0.34
1
Authors
1
Name
Order
Citations
PageRank
Saharon Rosset11087105.33