ArticlePLoS computational biology2005
Modeling the amplification dynamics of human Alu retrotransposons.
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.
What it found
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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.
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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.
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Who cites it
5 citing papers in PubMed.
- Article
- Article
- Source gene composition and gene conversion of the AluYh and AluYi lineages of retrotransposons.BMC evolutionary biology · 2009Article
- Analysis of the features and source gene composition of the AluYg6 subfamily of human retrotransposons.BMC evolutionary biology · 2007Article
- Different evolutionary fates of recently integrated human and chimpanzee LINE-1 retrotransposons.Gene · 2007Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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