Evidence map›Paper›PMID 15659243›Full record

ArticleBMC bioinformatics2005

Modelling the correlation between the activities of adjacent genes in Drosophila.

Helene H Thygesen, Aeilko H Zwinderman

Abstract read
In one paragraph

Article in BMC bioinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

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

14 citing papers in PubMed.

  1. A Catalogue of PutativeG3 (Bethesda, Md.) · 2018
    Article
  2. Article
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  4. Article
  5. Co-expression of neighboring genes in the zebrafish (Danio rerio) genome.International journal of molecular sciences · 2009
    Article
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  9. Article
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  11. Evidence of spatially bound gene regulation in Mus musculus: decreased gene expression proximal to microRNA genomic location.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  12. Article
  13. Article
  14. 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

2 authors.

Helene H ThygesenClinical Epidemiology and Biostatistics, Academisch Medisch Centrum, University of Amsterdam, Meibergdreef 9, 1100 DD Amsterdam, Netherlands. h.h.thygesen@amc.uva.nl
Aeilko H Zwinderman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCorrelation between the expression levels of genes which are located close to each other on the genome has been found in various organisms, including yeast, drosophila and humans. Since such a correlation could be explained by several biochemical, evolutionary, genetic and technological factors, there is a need for statistical models that correspond to specific biological models for the correlation structure.

resultsWe modelled the pairwise correlation between the expressions of the genes in a Drosophila microarray experiment as a normal mixture under Fisher's z-transform, and fitted the model to the correlations of expressions of adjacent as well as non-adjacent genes. We also analyzed simulated data for comparison. The model provided a good fit to the data. Further, correlation between the activities of two genes could, in most cases, be attributed to either of two factors: the two genes both being active in the same age group (adult or embryo), or the two genes being in proximity of each other on the chromosome. The interaction between these two factors was weak.

conclusionsCorrelation between the activities of adjacent genes is higher than between non-adjacent genes. In the data we analyzed, this appeared, for the most part, to be a constant effect that applied to all pairs of adjacent genes.

Indexed as

AlgorithmsAnimalsCaenorhabditis elegansChromatinChromosome MappingChromosomesCluster AnalysisComputational BiologyComputer SimulationDrosophila melanogasterEvolution, MolecularGene Expression ProfilingGene Expression RegulationGenetic VariationGenomeGenomicsChromatin

Identifiers

PMID15659243
PMCPMC547897

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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.