Evidence map›Paper›PMID 16518567›Full record

ArticleJournal of human genetics2006

Ancient retroviral insertions among human populations.

Rene J Herrera, Robert K Lowery, Abraham Alfonso, John F McDonald, Javier R Luis

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Article in Journal of human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. I'veInternational journal of molecular sciences · 2018
    Review
  4. 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

5 authors.

Rene J HerreraDepartment of Biological Sciences, Florida International University, University Park, OE 304, Miami, FL, 33199, USA. herrerar@fiu.edu.
Robert K LoweryDepartment of Biological Sciences, Florida International University, University Park, OE 304, Miami, FL, 33199, USA.
Abraham AlfonsoDepartment of Biological Sciences, Florida International University, University Park, OE 304, Miami, FL, 33199, USA.
John F McDonaldSchool of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA, 30332-0230, USA.
Javier R LuisDepartment of Biological Sciences, Florida International University, University Park, OE 304, Miami, FL, 33199, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human endogenous retroviruses (HERVs) represent vestiges of ancient infections that resulted in stable integration of the viral genome. These insertional elements of viral origin are in fact molecular fossils and, as such, a source of evolutionary information. A family of HERV insertions designated HERV-K includes members that are still polymorphic for the original insertional event. The goal of this report is to describe a novel genetic marker system based on polymorphic retroviral insertions (PRVIs) and to assess its potential usefulness in human population genetic analyses. The allelic frequencies of four insertionally polymorphic HERV-K loci were analyzed in nine geographically targeted, worldwide populations. A polymerase chain reaction assay was employed to examine the frequencies of the provirus and/or solo long terminal repeat insertions at these four loci. Several statistical and phylogenetic analyses were performed based on the frequency data. The phylogenetic relationships observed among the nine populations based on the four retroviral HERV-K loci are consistent not only with prior genetic analyses with other traditional marker systems but also with reported historical and biogeographical data. These polymorphic endogenous retroviral sequences display features that make them excellent tools for forensic and population genetic studies.

Indexed as

Genetics, PopulationMutagenesis, InsertionalAllelesData Interpretation, StatisticalDNAEndogenous RetrovirusesEvolution, MolecularGene FrequencyGenetic MarkersGenetic VariationHeterozygoteHumansNucleic Acid Amplification TechniquesPhylogenyPolymerase Chain ReactionPolymorphism, GeneticDNAGenetic Markers

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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.