Evidence map›Paper›PMID 24924000›Full record

ArticleBMC medicine2014

Dark matter RNA illuminates the puzzle of genome-wide association studies.

Georges St Laurent, Yuri Vyatkin, Philipp Kapranov

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Noncoding RNAs improve the predictive power of network medicine.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Genetic variants in mRNA untranslated regions.Wiley interdisciplinary reviews. RNA · 2018
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Evolution of the unspliced transcriptome.BMC evolutionary biology · 2015
    Article
  18. Basic biology and therapeutic implications of lncRNA.Advanced drug delivery reviews · 2015
    Review
  19. Review
  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

3 authors at 2 institutions in 2 countries.

Georges St Laurent
Yuri Vyatkin
Philipp KapranovSt, Laurent Institute, 317 New Boston St, Suite 201, Woburn, MA 01801, USA. philipp@stlaurentinstitute.org.
St. Laurent Institute · USLavrentyev Institute of Hydrodynamics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past decade, numerous studies have made connections between sequence variants in human genomes and predisposition to complex diseases. However, most of these variants lie outside of the charted regions of the human genome whose function we understand; that is, the sequences that encode proteins. Consequently, the general concept of a mechanism that translates these variants into predisposition to diseases has been lacking, potentially calling into question the validity of these studies. Here we make a connection between the growing class of apparently functional RNAs that do not encode proteins and whose function we do not yet understand (the so-called 'dark matter' RNAs) and the disease-associated variants. We review advances made in a different genomic mapping effort - unbiased profiling of all RNA transcribed from the human genome - and provide arguments that the disease-associated variants exert their effects via perturbation of regulatory properties of non-coding RNAs existing in mammalian cells.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyAnimalsBase SequenceGenetic VariationGenotypeHumansRNA, UntranslatedTranscription, GeneticRNA, Untranslated

Identifiers

PMID24924000
PMCPMC4054906
OpenAlexW2062118023

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.