Evidence map›Paper›PMID 19754929›Full record

ArticleBMC genetics2009

Effects of two common polymorphisms in the 3' untranslated regions of estrogen receptor beta on mRNA stability and translatability.

Milica Putnik, Chunyan Zhao, Jan-Ake Gustafsson, Karin Dahlman-Wright

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Milica PutnikDepartment of Biosciences and Nutrition, Novum, Karolinska Institutet, S-141 57 Huddinge, Sweden. milica.putnik@ki.se
Chunyan Zhao
Jan-Ake Gustafsson
Karin Dahlman-Wright
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study represents the first attempt to functionally characterize two common single nucleotide polymorphisms (SNPs) in the 3'untranslated regions (3'UTRs) of estrogen receptor beta (ERbeta), focusing on the differences between alleles with regard to mRNA stability and translatability. These two ERbeta SNPs have been investigated for association with disease in a large number of reports.

resultsHere we examined allelic expression in breast tumor samples from heterozygous individuals. A significant difference in mRNA levels of the two alleles was observed for one of the SNPs. A cell model system was employed to further investigate potential molecular effects of the two SNPs. We used a modified plasmid, containing the ERbeta promoter and ERbeta 3'UTRs which include the different alleles of investigated SNPs. Quantitative Real-Time PCR was used to determine mRNA levels after inhibition of transcription by actinomycin D, and a luciferase assay was used to determine protein levels. The obtained results suggested that there was no difference in mRNA stability or translatability between the alleles of investigated SNPs.

conclusionOur results indicate that observed associations between ERbeta 3'UTR SNPs and disease susceptibility are due to linkage disequilibrium with another gene variant, rather than the variant itself being the susceptibility factor.

Indexed as

Polymorphism, Single Nucleotide3' Untranslated RegionsAllelesBreast NeoplasmsCell Line, TumorDNA, NeoplasmEstrogen Receptor betaExonsFemaleGenetic Predisposition to DiseaseHeterozygoteHumansLinkage DisequilibriumReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA Stability3' Untranslated RegionsDNA, NeoplasmEstrogen Receptor betaRNA, Messenger

Identifiers

PMID19754929
PMCPMC2759954
OpenAlexW2042696926

What OpenQuestion holds

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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.