Evidence map›Paper›PMID 29304370›Full record

ReviewAmerican journal of human genetics2018

The Expanding Landscape of Alternative Splicing Variation in Human Populations.

Eddie Park, Zhicheng Pan, Zijun Zhang, Lan Lin, Yi Xing

Open access · bronzeAbstract readReview
In one paragraph

Review in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 215 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
215citing papers in PubMed, 1 pooled it
18.2field-weighted citation impact, top 1% 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

215 citing papers in PubMed, 1 synthesis or guideline pooled it, 370 citations in OpenAlex.

  1. Pooled it
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  12. Full-length transcriptome ofPlant biotechnology (Tokyo, Japan) · 2025
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155 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

5 authors at 1 institution in 1 country.

Eddie ParkDepartment of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Zhicheng PanBioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Zijun ZhangBioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Lan LinDepartment of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Yi XingDepartment of Microbiology, Immunology, & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: yxing@ucla.edu.
University of California, Los Angeles · US

Funding

Regenerative Musculoskeletal Medicine Training ProgramT32AR059033 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI John S Adams, Nicholas M. Bernthal · 2011 to 2026
$4.8M
VARIATION AND REGULATION OF ALTERNATIVE SPLICING IN HUMAN TRANSCRIPTOMESR01GM088342 · NIGMS · UNIVERSITY OF IOWA · PI XING, YI · 2010 to 2020
$2.9M
ProteoSeq - An Integrative Computational Framework for ProteotranscriptomicsR01GM117624 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XING, YI · 2016 to 2018
$1.1M
NIAMS NIH HHS T32 AR059033NIGMS NIH HHS R01 GM088342NIGMS NIH HHS R01 GM117624
6 · The paper itself

Abstract

Alternative splicing is a tightly regulated biological process by which the number of gene products for any given gene can be greatly expanded. Genomic variants in splicing regulatory sequences can disrupt splicing and cause disease. Recent developments in sequencing technologies and computational biology have allowed researchers to investigate alternative splicing at an unprecedented scale and resolution. Population-scale transcriptome studies have revealed many naturally occurring genetic variants that modulate alternative splicing and consequently influence phenotypic variability and disease susceptibility in human populations. Innovations in experimental and computational tools such as massively parallel reporter assays and deep learning have enabled the rapid screening of genomic variants for their causal impacts on splicing. In this review, we describe technological advances that have greatly increased the speed and scale at which discoveries are made about the genetic variation of alternative splicing. We summarize major findings from population transcriptomic studies of alternative splicing and discuss the implications of these findings for human genetics and medicine.

Indexed as

Genetics, PopulationGenetic VariationAlternative SplicingDiseaseGenetic Association StudiesHumansMachine LearningPhenotypeQuantitative Trait LociSequence Analysis, RNATranscriptome

Identifiers

PMID29304370
PMCPMC5777382
OpenAlexW2781530221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.