Evidence map›Paper›PMID 39605710›Full record

ArticlebioRxiv : the preprint server for biology2024

Response splicing QTLs in primary human chondrocytes identifies putative osteoarthritis risk genes.

Seyoun Byun, Philip Coryell, Nicole Kramer, Susan D'Costa, Eliza Thulson, Jacqueline Shine, Sylvie Parkus, Susan Chubinskaya, Richard F Loeser, Brian O Diekman and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Seyoun ByunCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0002-2915-6012
Philip CoryellThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0001-9991-1987
Nicole KramerCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0001-9617-9671
Susan D'CostaThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA.
Eliza ThulsonCurriculum in Genetics and Molecular Biology, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0002-8760-3087
Jacqueline ShineThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0002-9640-4741
Sylvie ParkusThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA.
Susan ChubinskayaDepartment of Orthopaedic Surgery and Rehabilitation, University of Texas Medical Branch, Galveston, TX, 77555, USA.ORCID 0009-0007-1693-0519
Richard F LoeserThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0003-2832-6144
Brian O DiekmanThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0001-9055-4282
Douglas H PhanstielCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA.ORCID 0000-0003-2123-0051

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Integrin Function in CartilageR37AR049003 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LOESER, RICHARD F · 2012 to 2021
$4.1M
Mechanisms of Dynamic Chromatin Looping During Differentiation - Common Fund Data SupplementR35GM128645 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Douglas H. Phanstiel · 2018 to 2026
$3.4M
Identifying novel osteoarthritis risk genes using GWAS, chondrocyte genomics, and genome editingR01AR079538 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RICHARD F LOESER, Douglas H. Phanstiel · 2022 to 2026
$2.4M
Predoctoral Training Program in Bioinformatics and Computational BiologyT32GM135123 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, William Valdar · 2021 to 2026
$1.7M
Functional interrogation of putative osteoarthritis causal variantsR21AR084104 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DIEKMAN, BRIAN O · 2024 to 2025
$371k
The effect of genetic variation on mRNA splicing in chondrocytes responding to cartilage matrix damageF31AR083722 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEYOUN BYUN · 2024 to 2026
$124k
NCATS NIH HHS UL1 TR002489NIAMS NIH HHS F31 AR083722NIAMS NIH HHS R01 AR079538NIAMS NIH HHS R21 AR084104NIAMS NIH HHS R37 AR049003NIGMS NIH HHS R35 GM128645NIGMS NIH HHS T32 GM135123
6 · The paper itself

Abstract

Osteoarthritis affects millions worldwide, yet effective treatments remain elusive due to poorly understood molecular mechanisms. While genome-wide association studies (GWAS) have identified over 100 OA-associated loci, identifying the genes impacted at each locus remains challenging. Several studies have mapped expression quantitative trait loci (eQTL) in chondrocytes and colocalized them with OA GWAS variants to identify putative OA risk genes; however, the degree to which genetic variants influence OA risk via alternative splicing has not been explored. We investigated the role of alternative splicing in OA pathogenesis using RNA-seq data from 101 human chondrocyte samples treated with PBS (control) or fibronectin fragment (FN-f), an OA trigger. We identified 590 differentially spliced genes between conditions, with FN-f inducing splicing events similar to those in primary OA tissue. We used CRISPR/Cas9 to mimic an SNRNP70 splicing event observed in OA and FN-f-treated chondrocytes and found that it induced an OA-like expression pattern. Integration with genotyping data revealed 7,188 splicing quantitative trait loci (sQTL) affecting 3,056 genes. While many sQTLs were shared, we identified 738 and 343 condition-specific sQTLs for control and FN-f, respectively. We identified 15 RNA binding proteins whose binding sites were enriched at sQTL splice junctions and found that expression of those RNA binding proteins correlated with exon inclusion. Colocalization with OA GWAS identified 6 putative risk genes, including a novel candidate, PBRM1. Our study highlights the significant impact of alternative splicing in OA and provides potential therapeutic targets for future research.

Identifiers

PMID39605710
PMCPMC11601258

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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.