Evidence map›Paper›PMID 28033303›Full record

ArticleMedicine2016

Strong cis-acting expression quantitative trait loci for the genes encoding SNHG5 and PEX6.

Jihyeon Lee, Jihye Ryu, Chaeyoung Lee

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Jihyeon LeeDepartment of Bioinformatics and Life Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul, Korea.
Jihye Ryu
Chaeyoung Lee
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expression of quantitative trait loci (eQTLs) for the genes located in human chromosome 6 were examined. Data on RNA expression in lymphoblastoid cells of 373 unrelated Europeans were used to identify eQTLs.Genome-wide analysis resulted in 24,447 nucleotide variants associated with gene expression (P < 2.16 × 10). We found 36variants with P < 10, which were all associated with expression levels of the genes encoding small nucleolar RNA host gene 5 (SNHG5) and peroxisomal biogenesis factor 6 (PEX6). Enhancer eQTLs downstream of theSNHG5 gene might be candidate genetic factors for susceptibility to cancer. This is because nucleotide substitutions (eg, G→T at rs6922) of the enhancer eQTLs may cause low expression of SNHG5 gene, and low expression of snoRNA U50, a product generated from introns of the SNHG5gene, can induce cancer. One presently identified eQTL for the PEX6 gene was rs10948059, which had been associated with prostate cancer from previous association studies. The results imply that variants associated with prostate cancer can be identified through expressional change in the PEX6 gene, but not in the overlapped glycine N-methyltransferase gene which had been considered as a candidate gene.Further studies are required to understand their underlying mechanisms for the strong eQTLs for the SNHG5 and PEX6 genes.

Indexed as

Chromosomes, Human, Pair 6Polymorphism, Single NucleotideAdenosine TriphosphatasesATPases Associated with Diverse Cellular ActivitiesGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleProstatic NeoplasmsQuantitative Trait LociRNA, Long NoncodingAdenosine TriphosphatasesATPases Associated with Diverse Cellular Activitieslong non-coding RNA SNHG5, humanPEX6 protein, humanRNA, Long Noncoding

Identifiers

PMID28033303
PMCPMC5207599
OpenAlexW2567052704

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.