Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
Nicole E KramerCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, USA.
Susan D'CostaThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA.
Eliza ThulsonCurriculum in Genetics and Molecular Biology, University of North Carolina, Chapel Hill, NC, USA.
Sylvie M ParkusThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA.
Susan ChubinskayaDepartment of Orthopaedic Surgery and Rehabilitation, University of Texas Medical Branch, Galveston, TX, USA.
Richard F LoeserThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA. richard_loeser@med.unc.edu.ORCID http://orcid.org/0000-0003-2832-6144
Brian O DiekmanThurston Arthritis Research Center, University of North Carolina, Chapel Hill, NC, USA. bdiekman@email.unc.edu.ORCID http://orcid.org/0000-0001-9055-4282
Douglas H PhanstielCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC, USA. douglas_phanstiel@med.unc.edu.ORCID http://orcid.org/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
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
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 TR002489NCATS NIH HHS UM1 TR004406NIAMS NIH HHS F31 AR083722NIAMS NIH HHS R01 AR079538NIAMS NIH HHS R21 AR084104NIAMS NIH HHS R37 AR049003NIGMS NIH HHS R35 GM128645NIGMS NIH HHS T32 GM135123U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) 1F31AR083722-01A1U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) R01AR079538U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) R21-AR084104U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) R37-AR049003U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35-GM128645U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM135123-02
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 hundreds of osteoarthritis-associated loci, identifying the genes impacted at each locus remains challenging. We investigate alternative splicing using RNA-sequencing data from 101 human chondrocyte samples treated with phosphate-buffered saline or fibronectin fragment, an osteoarthritis trigger. We identified 590 differentially spliced genes between conditions, with FN-f inducing splicing events similar to those in primary osteoarthritis tissue. CRISPR/Cas9 mimicking of an SNRNP70 splicing event observed in osteoarthritis induced an osteoarthritis-like expression pattern. Integration with genotyping data revealed 7188 splicing quantitative trait loci (sQTL) affecting 3056 genes, including 738 and 343 condition-specific sQTLs for resting and fibronectin fragment, respectively. Colocalization with osteoarthritis GWAS identified 6 putative risk genes. Our study highlights the significant impact of alternative splicing in osteoarthritis and provides potential therapeutic targets.
Indexed as
Alternative SplicingChondrocytesOsteoarthritisQuantitative Trait LociFemaleFibronectinsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideFibronectins
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.
Response splicing quantitative trait loci in primary human chondrocytes identify putative osteoarthritis risk genes. · full record | OpenQuestion