Evidence map›Paper›PMID 23900168›Full record

ArticleNature communications2013

Genome-wide search for exonic variants affecting translational efficiency.

Quan Li, Angeliki Makri, Yang Lu, Luc Marchand, Rosemarie Grabs, Marylene Rousseau, Houria Ounissi-Benkalha, Jerry Pelletier, Francis Robert, Eef Harmsen and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 28 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

14 authors at 4 institutions in 2 countries.

Quan LiEndocrine Genetics Laboratory, The McGill University Health Center, Montreal Children's Hospital, Montréal, Québec, Canada.
Angeliki Makri
Yang Lu
Luc Marchand
Rosemarie Grabs
Marylene Rousseau
Houria Ounissi-Benkalha
Jerry Pelletier
Francis Robert
Eef Harmsen
Thomas J Hudson
Tomi Pastinen
Constantin Polychronakos
Hui-Qi Qu
McGill University · CAMontreal Children's Hospital · CAMcGill University and Génome Québec Innovation Centre · CAThe University of Texas Health Science Center at Houston · US

Funding

Fine Mapping and Functional Evaluation of Selected Type 1 Diabetes LociDP3DK085708 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON, POLYCHRONAKOS, CONSTANTIN · 2009 to 2009
$4.8M
NIDDK NIH HHS DP3 DK085708
6 · The paper itself

Abstract

The search for expression quantitative trait loci has traditionally centred entirely on the process of transcription, whereas variants with effects on messenger RNA translation have not been systematically studied. Here we present a high-throughput approach for measuring translational cis-regulation in the human genome. Using ribosomal association as proxy for translational efficiency of polymorphic messenger RNAs, we test the ratio of polysomal/non-polysomal messenger RNA level as a quantitative trait for association with single nucleotide polymorphisms on the same messenger RNA transcript. We identify one important ribosomal distribution effect, from rs1131017 in the 5'-untranslated region of RPS26, that is in high linkage disequilibrium with the 12q13 locus for susceptibility to type 1 diabetes. The effect on translation is confirmed at the protein level by quantitative western blots, both ex vivo and after in vitro translation. Our results are a proof-of-principle that allelic effects on translation can be detected at a transcriptome-wide scale.

Indexed as

Cell LineDiabetes Mellitus, Type 1ExonsGenetic Predisposition to DiseaseGenome, HumanHumansPolymorphism, Single NucleotidePolyribosomesProtein BiosynthesisRegulatory Sequences, Nucleic AcidReproducibility of ResultsRibosomal ProteinsRNA, MessengerRibosomal ProteinsRNA, MessengerRPS26 protein, human

Identifiers

PMID23900168
PMCPMC3749366
OpenAlexW1974241668

What OpenQuestion holds

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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.