| Title: | Genome-wide association study of sarcopenia index reveals sex-stratified genetic architecture |
| Journal: | Biology of Sex Differences |
| Published: | 25 Aug 2026 |
| DOI: | https://doi.org/10.1186/s13293-026-00973-y |
| URL: | http://dx.doi.org/10.1186/s13293-026-00973-y |
Publication 20908
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Abstract
BackgroundThe sarcopenia index (SI), defined as the ratio of serum creatinine to cystatin C, is a proposed biomarker of muscle mass and sarcopenia, yet its genomic basis and genetic architecture remain largely unexplored.MethodsWe performed combined-sex and sex-stratified genome-wide association studies of SI in the UK Biobank. We examined the overlap between SI-associated loci and loci previously reported for sarcopenia-related traits. We assessed sexually dimorphic effects and gene-sex interactions, performed fine-mapping, and conducted credible gene prioritization, motif and transcription factor binding enrichment, gene-set enrichment, linkage disequilibrium score regression, and cross-phenotype colocalization.ResultsWe identified 774 unique independent SI-associated loci across all analyses, with 747 detected in the combined-sex GWAS, 283 in the male-stratified GWAS, and 311 in the female-stratified GWAS; 367 of these loci had not been previously reported for conventional sarcopenia-related traits. Sex-stratified analyses highlighted the rs1145093-chr15q21.1-GATM region, where CARMA identified sex-differentiated causal variants. We prioritized 17 male-biased and 11 female-biased credible genes. Enrichment analyses implicated androgen receptor and GATA4 in males, and ESR1 and MYOD1 in females. Enrichment revealed shared pathways involving inflammation, cellular stress, and aging-related processes. LDSC showed inverse genetic correlations between SI and heart failure (rg = −0.19, p = 2.30 × 10− 9) and metabolic syndrome (rg = −0.12, p = 8.49 × 10− 8), and a positive correlation with chronic kidney disease. Compared with female SI, male SI exhibited two additional loci showing colocalization with four metabolic traits.ConclusionsThese findings clarify the genetic architecture of SI and reveal sex-dependent mechanisms underlying sarcopenia, supporting precision risk assessment and targeted interventions.</p>
7 Authors
- Yumeng Mu
- Binzhi Liao
- Mengliang Luo
- Kaifeng Lu
- Huaxin Tang
- Mao Nie
- Xianding Sun
1 Application
| Application ID | Title |
|---|---|
| 624933 | Revealing the pathophysiological processes of musculoskeletal diseases and multiple age-related disorders through multi-omics data |
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