ArticleClinical and experimental medicine2026
Multi-omics and molecular testing: A new insight into the genetic mechanisms of sarcopenia and arthritis.
Article in Clinical and experimental medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sarcopenia and arthritis, characterized by age-related progressive loss of skeletal muscle mass and function, profoundly impact the well-being of older adults. Our study endeavors to explore the unclear genetic structure between them. Using advanced statistical genetic approaches and genome-wide association study (GWAS) summary statistics, we explored the shared genetic basis among multiple manifestations of sarcopenia and four distinct arthritic conditions: osteoarthritis, rheumatoid arthritis, psoriatic arthritis, and gouty arthritis. We employed global and local genetic methods to gain potential shared biological mechanisms and determine binary local genetic correlations. Cross-phenotype association GWAS studies have revealed many genetic variations associated with complex traits. Transcriptome-wide association studies were conducted using weights from various human tissues to identify risk loci. We functionally annotated genomic multi-markers and fine-mapping colocalization by conducting the whole-genome unified testing of molecular characteristics. Significant correlations between sarcopenia and arthritis were detected through comprehensive and local genetic correlation analyses. At the genomic level, we identified 19 unique bivariate regions, including chr3q27.3, chr5q35.3, and chr12q13.2-q13.3, involving multiple human genes such as KBM7, GM12878, and IMR90. Gene enrichment analyses revealed that the selected loci primarily signaled through elementary pathways, including central nervous system neuron axonogenesis, glutamatergic synapse, and beta-catenin binding. Specifically, GDF5 and DNAJC27 were prioritized as the most probable candidate genes via transcriptomics. Our study has identified pleiotropic genomic regions linking sarcopenia and arthritis, providing novel insights into their genetic mechanisms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.