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While large-scale genome-wide association studies (GWAS) have previously addressed isolated traits of sarcopenia, the multifactorial genetic architecture underlying this condition remains largely undefined. To characterize the common genetic basis of sarcopenia-related traits, genomic structural equation modeling (Genomic-SEM) was implemented. Multiple post-GWAS analytic approaches were integrated to pinpoint susceptibility loci. These analyses encompassed identifying enriched genetic pathways and relevant genomic elements, as well as cell-type-specific enrichment in skeletal muscle satellite stem cells, mesenchymal stem cells, and skeletal muscle satellite cells in limb muscle. Furthermore, based on the integrated GWAS data of sarcopenia-related traits, polygenic risk score (PRS) analysis was conducted to evaluate risk associations at the chromosomal level. A well-fitted Genomic-SEM successfully integrated the GWAS data, revealing the shared genetic architecture of sarcopenia-related traits. We identified 110 single nucleotide polymorphisms (SNPs) reaching genome-wide significance (p\u2009&amp;lt;\u20095\u2009\u00d7\u200910\u22128), of which 9 represent novel discoveries. Subsequent fine-mapping procedures and gene-set analyses identified 15 causal variants alongside 77 candidate susceptibility genes. This study provides a comprehensive genetic characterization of sarcopenia via Genomic-SEM, offering new insights into the etiological pathways underlying sarcopenia.<\/jats:p>","DOI":"10.1093\/gerona\/glag204","type":"journal-article","created":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T11:37:04Z","timestamp":1787053024000},"source":"Crossref","is-referenced-by-count":0,"title":["Exploring the shared genetic architecture of sarcopenia using genomic structural equation modeling"],"prefix":"10.1093","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4301-4560","authenticated-orcid":false,"given":"Yusheng","family":"Li","sequence":"first","affiliation":[{"name":"First Teaching Hospital of Tianjin University of Traditional Chinese Medicine , Tianjin,","place":["China"]},{"name":"National Clinical Research Center for Chinese Medicine , 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