Evidence map›Paper›PMID 15326304›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2004

Modeling the site-specific variation of selection patterns along lineages.

Stéphane Guindon, Allen G Rodrigo, Kelly A Dyer, John P Huelsenbeck

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed.

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  16. Calculating Higher-Order Moments of Phylogenetic Stochastic Mapping Summaries in Linear Time.Journal of computational biology : a journal of computational molecular cell biology · 2017
    Article
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stéphane GuindonBioinformatics Institute, Allan Wilson Centre for Molecular Ecology and Evolution, University of Auckland, Private Bag 92019, Auckland, New Zealand.
Allen G Rodrigo
Kelly A Dyer
John P Huelsenbeck

Funding

Extending Bayesian Phylogenetic AnalysisR01GM069801 · NIGMS · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI HUELSENBECK, JOHN P. · 2004 to 2013
$2.1M
NIGMS NIH HHS GM-69801NIGMS NIH HHS R01 GM069801
6 · The paper itself

Abstract

The unambiguous footprint of positive Darwinian selection in protein-coding DNA sequences is revealed by an excess of nonsynonymous substitutions over synonymous substitutions compared with the neutral expectation. Methods for analyzing the patterns of nonsynonymous and synonymous substitutions usually rely on stochastic models in which the selection regime may vary across the sequence but remains constant across lineages for any amino acid position. Despite some work that has relaxed the constraint that selection patterns remain constant over time, no model provides a strong statistical framework to deal with switches between selection processes at individual sites during the course of evolution. This paper describes an approach that allows the site-specific selection process to vary along lineages of a phylogenetic tree. The parameters of the switching model of codon substitution are estimated by using maximum likelihood. The analysis of eight HIV-1 env homologous sequence data sets shows that this model provides a significantly better fit to the data than one that does not take into account switches between selection patterns in the phylogeny at individual sites. We also provide strong evidence that the strength and the frequency of occurrence of selection might not be estimated accurately when the site-specific variation of selection regimes is ignored.

Indexed as

Genetic VariationSelection, GeneticAmino Acid SubstitutionData Interpretation, StatisticalGene Products, envHIV-1Likelihood FunctionsPhylogenySequence Analysis, ProteinSequence Analysis, RNAGene Products, env

Identifiers

PMID15326304
PMCPMC516501

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.