Evidence map›Paper›PMID 21429208›Full record

ArticleBMC genomics2011

Alu distribution and mutation types of cancer genes.

Wensheng Zhang, Andrea Edwards, Wei Fan, Prescott Deininger, Kun Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
18.0field-weighted citation impact, top 1% of its field
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

28 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. [Molecular pathological analysis through the ages].Pathologie (Heidelberg, Germany) · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. AberrantGenome research · 2018
    Article
  15. Telomere uncapping and vascular aging.American journal of physiology. Heart and circulatory physiology · 2018
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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 at 3 institutions in 1 country.

Wensheng ZhangDepartment of Computer Science, Xavier University of Louisiana, 1 Drexel Drive, New Orleans, LA 70125, USA.
Andrea Edwards
Wei Fan
Prescott Deininger
Kun Zhang
Xavier University of Louisiana · USIBM (United States) · USTulane University · US

Funding

VISUAL AND ANALYTICAL TOOLS FOR CLUSTER ANALYSISP20RR016456 · NCRR · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI FENG, JUNE · 2001 to 2011
$28.7M
XAVIER'S RCMI CANCER RESEARCH PROGRAMG12RR026260 · NCRR · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE · 2009 to 2011
$7.0M
Sine RetrotranspositionR01GM045668 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI DEININGER, PRESCOTT L. · 1993 to 2014
$4.2M
NCRR NIH HHS 5G12RR026260-02NCRR NIH HHS P20RR016456NIGMS NIH HHS R01 GM045668
6 · The paper itself

Abstract

backgroundAlu elements are the most abundant retrotransposable elements comprising ~11% of the human genome. Many studies have highlighted the role that Alu elements have in genetic instability and how their contribution to the assortment of mutagenic events can lead to cancer. As of yet, little has been done to quantitatively assess the association between Alu distribution and genes that are causally implicated in oncogenesis.

resultsWe have investigated the effect of various Alu densities on the mutation type based classifications of cancer genes. In order to establish the direct relationship between Alus and the cancer genes of interest, genome wide Alu-related densities were measured using genes rather than the sliding windows of fixed length as the units. Several novel genomic features, such as the density of the adjacent Alu pairs and the number of Alu-Exon-Alu triplets, were developed in order to extend the investigation via the multivariate statistical analysis toward more advanced biological insight. In addition, we characterized the genome-wide intron Alu distribution with a mixture model that distinguished genes containing Alu elements from those with no Alus, and evaluated the gene-level effect of the 5'-TTAAAA motif associated with Alu insertion sites using a two-step regression analysis method.

conclusionsThe study resulted in several novel findings worthy of further investigation. They include: (1) Recessive cancer genes (tumor suppressor genes) are enriched with Alu elements (p < 0.01) compared to dominant cancer genes (oncogenes) and the entire set of genes in the human genome; (2) Alu-related genomic features can be used to cluster cancer genes into biological meaningful groups; (3) The retention of exon Alus has been restricted in the human genome development, and an upper limit to the chromosome-level exon Alu densities is suggested by the distribution profile; (4) For the genes with at least one intron Alu repeat in individual chromosomes, the intron Alu densities can be well fitted by a Gamma distribution; (5) The effect of the 5'-TTAAAA motif on Alu densities varies across different chromosomes.

Indexed as

Alu ElementsGenes, NeoplasmGenome, HumanCluster AnalysisDNA Mutational AnalysisExonsGenes, RecessiveHumansIntronsModels, StatisticalMutationNeoplasmsRegression Analysis

Identifiers

PMID21429208
PMCPMC3074553
OpenAlexW2155014107

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.