{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T12:20:10Z","timestamp":1787746810523,"version":"build-2784847793"},"reference-count":39,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Resistance training (RT) is an established intervention for increasing lean body mass (LBM), individual hypertrophic responses exhibit significant heterogeneity, largely influenced by genetic factors. This genome\u2010wide association study (GWAS) aimed to identify novel genetic variants associated with changes in lean body mass (\u2206LBM) following RT and to develop a genetic predisposition score (GPS) for predicting LBM trainability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A total of 187 sedentary adults (51.3% female, mean age 21.5\u2009\u00b1\u20092\u2009years) completed a supervised 12\u2010week periodized RT programme. The protocol involved squats and bench presses at 70% 1\u2010repetition maximum (5 sets\u2009\u00d7\u200910 repetitions; 2\u2010min rest) performed twice weekly. \u2206LBM was precisely quantified using dual\u2010energy X\u2010ray absorptiometry (DEXA) before and after the intervention. Genotyping was performed on venous blood\u2010derived DNA using the Illumina Global Screening Array\u201024v1\u20100. GWAS for \u2206LBM was conducted using linear regression in PLINK 1.09, adjusted for baseline LBM, body mass index (BMI), age, region and sex (genome\u2010wide significance threshold:\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20095\u2009\u00d7\u200910\n                      <jats:sup>\u22128<\/jats:sup>\n                      ). A weighted GPS was subsequently constructed in SAS 9.3 based on significantly associated variants.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The RT programme elicited significant LBM gains across the cohort (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) accompanied by high interindividual variability (\u2206LBM coefficient of variation\u2009=\u20090.84). GWAS identified nine novel single\u2010nucleotide polymorphisms (SNP) significantly associated with \u2206LBM (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20095\u2009\u00d7\u200910\n                      <jats:sup>\u22128<\/jats:sup>\n                      ): rs10212396, rs12519717, rs12055037, rs2131183, rs75968146, rs4370982, rs74038095, rs73966436, and rs12625907. The developed GPS explained 27.7% of the observed \u2206LBM variance (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Bioinformatic annotation revealed that rs10212396 is located near the\n                      <jats:italic>ROBO2<\/jats:italic>\n                      locus\u2014a gene potentially implicated in muscular adaptation, though the specific functional roles of most proximal genes identified remain to be fully characterized.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study, representing the first GWAS of RT\u2010induced LBM adaptation, successfully identified nine novel genetic variants and establishes a robust GPS that accounts for 27.7% of interindividual variation in LBM response. These findings provide foundational genetic markers crucial for deciphering the mechanisms underlying muscle hypertrophy and significantly advance the prospects for developing personalized exercise prescriptions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.70347","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T13:47:22Z","timestamp":1784123242000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Genome\u2010Wide Association Study of Lean Body Mass Response to Resistance Training in Young Asians"],"prefix":"10.1002","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3995-8186","authenticated-orcid":false,"given":"Zhuangzhuang","family":"Gu","sequence":"first","affiliation":[{"name":"Henan Normal University  Xinxiang Henan 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