Evidence map›Paper›PMID 24937006›Full record

ArticlePloS one2014

A method for detecting long non-coding RNAs with tiled RNA expression microarrays.

Sigrun Helga Lund, Daniel Fannar Gudbjartsson, Thorunn Rafnar, Asgeir Sigurdsson, Sigurjon Axel Gudjonsson, Julius Gudmundsson, Kari Stefansson, Gunnar Stefansson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Sigrun Helga LundFaculty of Physical Sciences, University of Iceland, Reykjavik, Iceland.
Daniel Fannar GudbjartssondeCODE Genetics, Reykjavik, Iceland.
Thorunn RafnardeCODE Genetics, Reykjavik, Iceland.
Asgeir SigurdssondeCODE Genetics, Reykjavik, Iceland.
Sigurjon Axel GudjonssondeCODE Genetics, Reykjavik, Iceland.
Julius GudmundssondeCODE Genetics, Reykjavik, Iceland.
Kari StefanssondeCODE Genetics, Reykjavik, Iceland.
Gunnar StefanssonFaculty of Physical Sciences, University of Iceland, Reykjavik, Iceland.
deCODE Genetics (Iceland) · ISUniversity of Iceland · IS

Funding

Focused Genomic Dissection of the Prostate Cancer Risk Variant on Chromosome 8q24R01CA129991 · NCI · DECODE GENETICS, INC. · PI STEFANSSON, KARI · 2007 to 2009
$824k
NCI NIH HHS 5R01CA129991-02NCI NIH HHS R01 CA129991
6 · The paper itself

Abstract

Long non-coding ribonucleic acids (lncRNAs) have been proposed as biomarkers in prostate cancer. This paper proposes a selection method which uses data from tiled microarrays to identify relatively long regions of moderate expression independent of the microarray platform and probe design. The method is used to search for candidate long non-coding ribonucleic acids (lncRNAs) at locus 8q24 and is run on three independent experiments which all use samples from prostate cancer patients. The robustness of the method is tested by utilizing repeated copies of tiled probes. The method shows high consistency between experiments that used the same samples, but different probe layout. There also is statistically significant consistency when comparing experiments with different samples. The method selected the long non-coding ribonucleic acid PCNCR1 in all three experiments.

Indexed as

Oligonucleotide Array Sequence AnalysisAgedCarcinogenesisChromosomes, Human, Pair 8Computer SimulationHumansMaleMiddle AgedModels, GeneticMonte Carlo MethodProstatic NeoplasmsRNA, Long NoncodingTranscriptomeRNA, Long Noncoding

Identifiers

PMID24937006
PMCPMC4061049
OpenAlexW1995400989

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.