Evidence map›Paper›PMID 16201008›Full record

ArticlePLoS computational biology2005

Modeling the amplification dynamics of human Alu retrotransposons.

Dale J Hedges, Richard Cordaux, Jinchuan Xing, David J Witherspoon, Alan R Rogers, Lynn B Jorde, Mark A Batzer

Abstract read
In one paragraph

Article in PLoS computational biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Mobile DNA · 2019
    Article
  2. Article
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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

7 authors.

Dale J HedgesDepartment of Biological Sciences, Biological Computation and Visualization Center, Center for Bio-Modular Microsystems, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Richard Cordaux
Jinchuan Xing
David J Witherspoon
Alan R Rogers
Lynn B Jorde
Mark A Batzer

Funding

POPULATION GENETICS OF MOBILE ELEMENTSR01GM059290 · NIGMS · UNIVERSITY OF UTAH · PI BATZER, MARK A, FESCHOTTE, CEDRIC · 1999 to 2018
$8.5M
NIGMS NIH HHS R01 GM059290NIGMS NIH HHS R01GM59290
6 · The paper itself

Abstract

Retrotransposons have had a considerable impact on the overall architecture of the human genome. Currently, there are three lineages of retrotransposons (Alu, L1, and SVA) that are believed to be actively replicating in humans. While estimates of their copy number, sequence diversity, and levels of insertion polymorphism can readily be obtained from existing genomic sequence data and population sampling, a detailed understanding of the temporal pattern of retrotransposon amplification remains elusive. Here we pose the question of whether, using genomic sequence and population frequency data from extant taxa, one can adequately reconstruct historical amplification patterns. To this end, we developed a computer simulation that incorporates several known aspects of primate Alu retrotransposon biology and accommodates sampling effects resulting from the methods by which mobile elements are typically discovered and characterized. By modeling a number of amplification scenarios and comparing simulation-generated expectations to empirical data gathered from existing Alu subfamilies, we were able to statistically reject a number of amplification scenarios for individual subfamilies, including that of a rapid expansion or explosion of Alu amplification at the time of human-chimpanzee divergence.

Indexed as

Models, GeneticAlu ElementsComputational BiologyComputer SimulationGene AmplificationGenome, HumanHumansPolymorphism, GeneticRetroelementsTime FactorsRetroelements

Identifiers

PMID16201008
PMCPMC1239904

What OpenQuestion holds

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LicenceCC BY
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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.