Evidence map›Paper›PMID 27617755›Full record

ArticleScientific reports2016

Sequence variation between 462 human individuals fine-tunes functional sites of RNA processing.

Pedro G Ferreira, Martin Oti, Matthias Barann, Thomas Wieland, Suzana Ezquina, Marc R Friedländer, Manuel A Rivas, Anna Esteve-Codina, GEUVADIS Consortium, Philip Rosenstiel and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

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  14. Trans-Ethnic Mapping ofInternational journal of molecular sciences · 2018
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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 20 institutions in 9 countries.

Pedro G FerreiraBioinformatics and Genomics, Center for Genomic Regulation (CRG), 08003 Barcelona, Catalonia, Spain.
Martin OtiInstitute of Biophysics Carlos Chagas Filho (IBCCF), Federal University of Rio de Janeiro (UFRJ), 21941-902 Rio de Janeiro, Brazil.
Matthias BarannInstitute of Clinical Molecular Biology, Christians-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.
Thomas WielandInstitute of Human Genetics, Helmholtz Center Munich, 85764 Neuherberg, Germany.
Suzana EzquinaCenter for Human Genome and Stem-cell research (HUG-CELL), University of São Paulo (USP), 05508090 São Paulo, Brazil.
Marc R FriedländerScience for Life Laboratory, Stockholm University, Box 1031, 17121 Solna, Sweden.
Manuel A RivasWellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom.
Anna Esteve-CodinaCentre Nacional d'Anàlisi Genòmica, 08028 Barcelona, Catalonia, Spain.
GEUVADIS Consortium
Philip RosenstielInstitute of Clinical Molecular Biology, Christians-Albrechts-Universität zu Kiel, 24105 Kiel, Germany.
Tim M StromInstitute of Human Genetics, Helmholtz Center Munich, 85764 Neuherberg, Germany.
Tuuli LappalainenDepartment of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland.
Roderic GuigóBioinformatics and Genomics, Center for Genomic Regulation (CRG), 08003 Barcelona, Catalonia, Spain.
Michael SammethBioinformatics and Genomics, Center for Genomic Regulation (CRG), 08003 Barcelona, Catalonia, Spain.
Helmholtz Zentrum München · DEKiel University · DEUniversity of Geneva · CHCentre for Genomic Regulation · ESCentro Nacional de Análisis Genómico · ESEuropean Bioinformatics Institute · GBLeiden University Medical Center · NLMax Planck Institute for Molecular Genetics · DERadboud University Nijmegen · NLUppsala University · SECentre National de Recherche en Génomique Humaine · FRIllumina (United Kingdom) · GBInserm · FRJohns Hopkins University · USLaboratório Nacional de Computação Científica · BRPompeu Fabra University · ESScience for Life Laboratory · SEUniversidade de Santiago de Compostela · ESUniversidade de São Paulo · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in the cost-efficiency of sequencing technologies enabled the combined DNA- and RNA-sequencing of human individuals at the population-scale, making genome-wide investigations of the inter-individual genetic impact on gene expression viable. Employing mRNA-sequencing data from the Geuvadis Project and genome sequencing data from the 1000 Genomes Project we show that the computational analysis of DNA sequences around splice sites and poly-A signals is able to explain several observations in the phenotype data. In contrast to widespread assessments of statistically significant associations between DNA polymorphisms and quantitative traits, we developed a computational tool to pinpoint the molecular mechanisms by which genetic markers drive variation in RNA-processing, cataloguing and classifying alleles that change the affinity of core RNA elements to their recognizing factors. The in silico models we employ further suggest RNA editing can moonlight as a splicing-modulator, albeit less frequently than genomic sequence diversity. Beyond existing annotations, we demonstrate that the ultra-high resolution of RNA-Seq combined from 462 individuals also provides evidence for thousands of bona fide novel elements of RNA processing-alternative splice sites, introns, and cleavage sites-which are often rare and lowly expressed but in other characteristics similar to their annotated counterparts.

Indexed as

Alternative SplicingGenetic VariationGenome, HumanRNA EditingRNA Splice SitesAllelesBase SequenceExonsGene FrequencyHumansIntronsPolyadenylationRNA, MessengerSequence Analysis, RNARNA, MessengerRNA Splice Sites

Identifiers

PMID27617755
PMCPMC5019111
OpenAlexW2519036235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.