Evidence map›Paper›PMID 40336129›Full record

ArticleGenome biology2025

Long-read sequencing reveals novel isoform-specific eQTLs and regulatory mechanisms of isoform expression in human B cells.

Yuya Nagura, Mihoko Shimada, Ryoji Kuribayashi, Ko Ikemoto, Hiroki Kiyose, Arisa Igarashi, Tadashi Kaname, Motoko Unoki, Akihiro Fujimoto

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuya NaguraDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Mihoko ShimadaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ryoji KuribayashiDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ko IkemotoDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroki KiyoseDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Arisa IgarashiDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tadashi KanameDepartment of Genome Medicine, National Centre for Child Health and Development, Tokyo, Japan.
Motoko UnokiDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akihiro FujimotoDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. afujimoto@m.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-0075-0800

Funding

AMED 24fk0310522h0003AMED JP21km0908001Takeda Foundation Housyo
6 · The paper itself

Abstract

backgroundGenetic variations linked to changes in gene expression are known as expression quantitative loci (eQTLs). The identification of eQTLs helps to understand the mechanisms governing gene expression. However, prior studies have primarily utilized short-read sequencing techniques, and the analysis of eQTLs on isoforms has been relatively limited.

resultsIn this study, we employ long-read sequencing technology (Oxford Nanopore) on B cells from 67 healthy Japanese individuals to explore genetic variations associated with isoform expression levels, referred to as isoform eQTLs (ieQTLs). Our analysis reveals 17,119 ieQTLs, with 70.6% remaining undetected by a gene-level analysis. Additionally, we identify ieQTLs that have significantly different effects on isoform expression levels within a gene. A functional feature analysis demonstrates a significant enrichment of ieQTLs at splice sites and specific histone marks, such as H3K36me3, H3K4me1, H3K4me3, and H3K79me2. Through an experimental validation using genome editing, we observe that a distant genomic region can modulate isoform-specific expression. Moreover, an ieQTL analysis and minigene splicing assays unveils functionally crucial variants in splicing that splicing prediction software did not assign a high prediction score. A comparison with GWAS data reveals a higher number of colocalizations between ieQTLs and GWAS findings compared to gene eQTLs.

conclusionsThese findings highlight the substantial contribution of ieQTLs identified through long-read analysis in our understanding of the functional implications of genetic variations and the regulatory mechanisms governing isoforms.

Indexed as

B-LymphocytesGene Expression RegulationQuantitative Trait LociAlternative SplicingHigh-Throughput Nucleotide SequencingHumansProtein IsoformsProtein IsoformseQTLGenetic variationGWASIsoform eQTLsLong reads

Identifiers

PMID40336129
PMCPMC12060498

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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.