Evidence map›Paper›PMID 26888265›Full record

ArticleGenome research2016

Alternative splicing modulated by genetic variants demonstrates accelerated evolution regulated by highly conserved proteins.

Yun-Hua Esther Hsiao, Jae Hoon Bahn, Xianzhi Lin, Tak-Ming Chan, Rena Wang, Xinshu Xiao

Abstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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

6 authors.

Yun-Hua Esther HsiaoDepartment of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, California 90095, USA; Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, USA;
Jae Hoon BahnDepartment of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, California 90095, USA;
Xianzhi LinDepartment of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, California 90095, USA;
Tak-Ming ChanDepartment of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, California 90095, USA;
Rena WangDepartment of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, California 90095, USA;
Xinshu XiaoDepartment of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, California 90095, USA; Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, USA; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, California 90095, USA; Molecular Biology Institute, University of California Los Angeles, Los Angeles, California 90095, USA.

Funding

"Ribonomics" of Gene Regulation to predict Innate Immune ResponsesU01HG007912 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BLACK, DOUGLAS L, HOFFMANN, ALEXANDER · 2015 to 2017
$5.8M
Analysis of functional genetic variants in RNA processing and expressionU01HG009417 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XIAO, XINSHU GRACE · 2017 to 2021
$3.2M
Functional genetic variations in splicing regulationR01HG006264 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XIAO, XINSHU GRACE · 2012 to 2016
$1.5M
Analysis of causal genetic variants in pre-mRNA processing using ENCODE dataU01HG007013 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XIAO, XINSHU GRACE · 2012 to 2015
$1.1M
NHGRI NIH HHS R01 HG006264NHGRI NIH HHS R01HG006264NHGRI NIH HHS U01 HG007013NHGRI NIH HHS U01HG007013NHGRI NIH HHS U01 HG007912NHGRI NIH HHS U01HG007912NHGRI NIH HHS U01 HG009417
6 · The paper itself

Abstract

Identification of functional genetic variants and elucidation of their regulatory mechanisms represent significant challenges of the post-genomic era. A poorly understood topic is the involvement of genetic variants in mediating post-transcriptional RNA processing, including alternative splicing. Thus far, little is known about the genomic, evolutionary, and regulatory features of genetically modulated alternative splicing (GMAS). Here, we systematically identified intronic tag variants for genetic modulation of alternative splicing using RNA-seq data specific to cellular compartments. Combined with our previous method that identifies exonic tags for GMAS, this study yielded 622 GMAS exons. We observed that GMAS events are highly cell type independent, indicating that splicing-altering genetic variants could have widespread function across cell types. Interestingly, GMAS genes, exons, and single-nucleotide variants (SNVs) all demonstrated positive selection or accelerated evolution in primates. We predicted that GMAS SNVs often alter binding of splicing factors, with SRSF1 affecting the most GMAS events and demonstrating global allelic binding bias. However, in contrast to their GMAS targets, the predicted splicing factors are more conserved than expected, suggesting that cis-regulatory variation is the major driving force of splicing evolution. Moreover, GMAS-related splicing factors had stronger consensus motifs than expected, consistent with their susceptibility to SNV disruption. Intriguingly, GMAS SNVs in general do not alter the strongest consensus position of the splicing factor motif, except the more than 100 GMAS SNVs in linkage disequilibrium with polymorphisms reported by genome-wide association studies. Our study reports many GMAS events and enables a better understanding of the evolutionary and regulatory features of this phenomenon.

Indexed as

Alternative SplicingEvolution, MolecularGenetic VariationAnimalsBinding SitesCell LineComputational BiologyConserved SequenceExonsGene Expression RegulationGenome-Wide Association StudyHumansIntronsLinkage DisequilibriumPolymorphism, Single NucleotidePrimatesProteinsRNA

Identifiers

PMID26888265
PMCPMC4817768

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.