Evidence map›Paper›PMID 42064961›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Integrated mapping of human meniscus and cartilage eQTLs reveals shared and distinct osteoarthritis genetic drivers.

Yutaro Uchida, Yuta Fujii, Hannah Swahn, Mahoko Takahashi Ueda, Tomoki Chiba, Takahide Matsushima, Yuki Naito, Ryo Nakamichi, Kenji Takahashi, Merissa Olmer and 4 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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

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

14 authors.

Yutaro UchidaDepartment of Molecular and Cellular Biology, The Scripps Research Institute.ORCID 0000-0002-2790-6879
Yuta FujiiDepartment of Molecular and Cellular Biology, The Scripps Research Institute.ORCID 0000-0002-6304-7020
Hannah SwahnDepartment of Molecular and Cellular Biology, The Scripps Research Institute.
Mahoko Takahashi UedaDepartment of Genomic Function and Diversity, Medical Research Institute, Institute of Science Tokyo.ORCID 0000-0002-3960-0922
Tomoki ChibaDepartment of Systems Biomedicine, Institute of Science Tokyo.
Takahide MatsushimaDepartment of Systems Biomedicine, Institute of Science Tokyo.ORCID 0000-0002-7110-2261
Yuki NaitoDepartment of Systems Biomedicine, Institute of Science Tokyo.ORCID 0000-0002-1182-6786
Ryo NakamichiDepartment of Molecular and Cellular Biology, The Scripps Research Institute.ORCID 0000-0002-0145-2135
Kenji TakahashiDepartment of Orthopaedic Surgery, Kyoto prefectural University of Medicine.
Merissa OlmerDepartment of Molecular and Cellular Biology, The Scripps Research Institute.
RE-JOIN Consortium Investigators
Martin LotzDepartment of Molecular and Cellular Biology, The Scripps Research Institute.ORCID 0000-0002-6299-8799
Yuta KochiDepartment of Genomic Function and Diversity, Medical Research Institute, Institute of Science Tokyo.ORCID 0000-0002-8012-5078
Hiroshi AsaharaDepartment of Molecular and Cellular Biology, The Scripps Research Institute.ORCID 0000-0002-5215-8745

Funding

Precision Mapping of Knee Pain in Osteoarthritis: Understanding differences between pain with activity and restUC2AR082186 · NIAMS · RUSH UNIVERSITY MEDICAL CENTER · PI LOTZ, MARTIN K, MALFAIT, ANNE-MARIE · 2022 to 2025
$11.9M
Integrative Omics analysis of human cartilage in aging and osteoarthritisR01AG049617 · NIA · SCRIPPS RESEARCH INSTITUTE, THE · PI LOTZ, MARTIN K · 2016 to 2024
$5.6M
Mechano signals regulating tendon and ligament homeostasisR01AR080127 · NIAMS · SCRIPPS RESEARCH INSTITUTE, THE · PI Hiroshi Asahara · 2022 to 2026
$1.9M
NIAMS NIH HHS R01 AR080127NIAMS NIH HHS UC2 AR082186NIA NIH HHS R01 AG049617
6 · The paper itself

Abstract

Osteoarthritis (OA) is a prevalent musculoskeletal disorder and a leading cause of global disability. Although meniscal damage is a major risk factor of OA pathogenesis, genetic regulatory studies have remained largely confined to articular cartilage. Here, we establish the first comprehensive expression quantitative trait locus (eQTL) map integrating whole-genome sequencing and bulk transcriptomics from human meniscus (n=112) and cartilage (n=113). Supported by single-nucleus multiomics (cartilage: 56,549 nuclei; meniscus: 34,343 nuclei), we uncovered highly tissue-specific genetic risk architectures. Colocalization with OA GWAS identified 27 meniscus-specific, 28 shared, and 20 cartilage-specific causal genes. Chromatin-informed fine-mapping and deconvolution elucidated distinct pathogenic mechanisms; notably, meniscus-specific signals converged on

Identifiers

PMID42064961
PMCPMC13127523

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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.