Evidence map›Paper›PMID 38683846›Full record

ArticlePloS one2024

Identification of bone mineral density associated genes with shared genetic architectures across multiple tissues: Functional insights for EPDR1, PKDCC, and SPTBN1.

Jongyun Jung, Qing Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Bridging the gap: validating AI for real-world osteoporosis screening.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  6. Precision fracture risk assessment: leveraging genomic and clinical data for personalized care.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  7. Review
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

2 authors at 1 institution in 1 country.

Jongyun JungDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0002-9258-5397
Qing WuDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0003-4679-8903
The Ohio State University · US

Funding

Does Creating Person-specific Precision Thresholds Enhance the Ability of a Single Bone Density Measure to Predict Fractures in Minority Women?R01AG080017 · NIA · OHIO STATE UNIVERSITY · PI Qing Wu · 2024 to 2026
$1.9M
Precise Bone Density Reference Ranges to Reduce Systematic Disparities in Osteoporosis Healthcare for Hispanic WomenR21MD013681 · NIMHD · UNIVERSITY OF NEVADA LAS VEGAS · PI WU, QING · 2022 to 2023
$405k
NIA NIH HHS R01 AG080017NIMHD NIH HHS R21 MD013681
6 · The paper itself

Abstract

Recent studies suggest a shared genetic architecture between muscle and bone, yet the underlying molecular mechanisms remain elusive. This study aims to identify the functionally annotated genes with shared genetic architecture between muscle and bone using the most up-to-date genome-wide association study (GWAS) summary statistics from bone mineral density (BMD) and fracture-related genetic variants. We employed an advanced statistical functional mapping method to investigate shared genetic architecture between muscle and bone, focusing on genes highly expressed in muscle tissue. Our analysis identified three genes, EPDR1, PKDCC, and SPTBN1, which are highly expressed in muscle tissue and previously unlinked to bone metabolism. About 90% and 85% of filtered Single-Nucleotide Polymorphisms were in the intronic and intergenic regions for the threshold at P≤5×10-8 and P≤5×10-100, respectively. EPDR1 was highly expressed in multiple tissues, including muscles, adrenal glands, blood vessels, and the thyroid. SPTBN1 was highly expressed in all 30 tissue types except blood, while PKDCC was highly expressed in all 30 tissue types except the brain, pancreas, and skin. Our study provides a framework for using GWAS findings to highlight functional evidence of crosstalk between multiple tissues based on shared genetic architecture between muscle and bone. Further research should focus on functional validation, multi-omics data integration, gene-environment interactions, and clinical relevance in musculoskeletal disorders.

Indexed as

Bone DensityGenome-Wide Association StudyPolymorphism, Single NucleotideSpectrinBone and BonesHumansIntercellular Signaling Peptides and ProteinsProtein-Tyrosine KinasesEPDR1 protein, humanIntercellular Signaling Peptides and ProteinsPKDCC protein, humanProtein-Tyrosine KinasesSpectrinSPTBN1 protein, human

Identifiers

PMID38683846
PMCPMC11057974
OpenAlexW4396239828

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.