Purpose: 1 ms paper aims to conduct a Genome-wide Association Studies ( GWAS) to identify genetic markers associated with the muscle-building effects of 12 weeks of resistance training among young Han Chinese individuals, and explore the potential mechanisms through which newly discovered genetic markers may impact the effectiveness of resistance training by employing bioinformatics methods. The ultimate goal is to construct a Polygenie: Scores C PGS ) model incorporating multiple genes to provide a reference for personalized resistance training programs. Methods: A total of 187 sedenlary Han Chinese youth (48.53% male) completed a 12-week resistance training program, with muscle-building effects assessed through changes in Quadriceps Muscle Thickness (THKQUAD) and lean-body mass ( LBM). Venous blood samples (5 inl) were collected, and DNA was extracted usling the TIANGEN DNA extraction kit. Genotyping was performed using the Illumina Infinium CGA-24vl--0 chip. GWAS analysis and bioinformatics analysis were used to complete the data analysis. Result:1) After 12 weeks of resistance training. both LBM and THK-QUAD showed significant increases ( P<0.01), but individual variations in b LBM and A THK-QUA D were substantial . with Coefficient of Variation ( C V) of 0.84 and 0.60, respectively ; 2) GWAS analysis showed that 9 SNP were significantly correlated with ALBM (P<10-5); PCS based on 17 SNPs showed a positive linear relationship with Al,BM and ATHK-QUAD, with R2 valuses of 0.123 6 and 0.315 6. respectively. According to the ROC curve, PGS below -0.683 was associated with limited muscle-building effects after the current exercise intervenlion, while PGS above -0.103 was indictive of favorable muscle-building effects. 3 ) Bioinformatics analysis suggested that the 17 SNPs might be related to the expression of 181 genes, enriched in 3 pathways and 17 biological functions, and 5 genes ( NPCJ, ENDOG, MT3, SMAI)4 . OSBPI,2 ) played roles in multiple pathways. Conclusion : This study, based on GWAS in a Han Chinese youth resistance traitiing cohort, identified 17 noval SNPs as potential genetic markers for predicting muscle - building effects . Enrichment analysis revealed a set of generally, mainly NPel, ENDOG, MT), SM:484 and OSBPL2, that may affect the muscle - building effect of resistance training through pathways related to metal ion transport, cellular homeostasis, cholesterol transport, metabolism, and skeletal muscle remodeling . A PGS based on 17 SNPs above -0.103 was associated with improved muscle-building effects, while a score below -0.683 had a h igher probability of limited muscle mass gain after 12 weeks of resistance training. [ABSTRACT FROM AUTHOR]