Evidence map›Paper›PMID 29859120›Full record

ArticleGenome biology2018

Vex-seq: high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency.

Scott I Adamson, Lijun Zhan, Brenton R Graveley

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
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

65 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Improving splice site usage prediction with SPLAIRE.bioRxiv : the preprint server for biology · 2026
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5 more citing papers are in PubMed but not listed here.

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.

Scott I AdamsonDepartment of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA.
Lijun ZhanDepartment of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA.
Brenton R GraveleyDepartment of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA. graveley@uchc.edu.ORCID 0000-0001-5777-5892

Funding

High throughput validation of functional variants that affect pre-mRNA splicingR21HG008799 · NHGRI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI GRAVELEY, BRENTON R. · 2016 to 2017
$439k
NHGRI NIH HHS R21 HG008799NHGRI NIH HHS R21HG008799
6 · The paper itself

Abstract

Understanding the functional impact of genomic variants is a major goal of modern genetics and personalized medicine. Although many synonymous and non-coding variants act through altering the efficiency of pre-mRNA splicing, it is difficult to predict how these variants impact pre-mRNA splicing. Here, we describe a massively parallel approach we use to test the impact on pre-mRNA splicing of 2059 human genetic variants spanning 110 alternative exons. This method, called variant exon sequencing (Vex-seq), yields data that reinforce known mechanisms of pre-mRNA splicing, identifies variants that impact pre-mRNA splicing, and will be useful for increasing our understanding of genome function.

Indexed as

Alternative SplicingGenetic VariationExonsHigh-Throughput Nucleotide SequencingHumansIntronsRNA, MessengerRNA PrecursorsRNA Splice SitesSequence Analysis, RNARNA, MessengerRNA PrecursorsRNA Splice Sites

Identifiers

PMID29859120
PMCPMC5984807

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.