ArticleGeriatrics & gerontology international2021
Associations between genetic loci related to lean mass and body composition in type 2 diabetes.
Article in Geriatrics & gerontology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Sarcopenia and MASLD: novel insights and the future.Nature reviews. Endocrinology · 2026Review
- Endoplasmic reticulum stress in skeletal muscle dysfunction of type 2 diabetes: mechanisms and therapeutic implications.Frontiers in endocrinology · 2026Review
- Whole-genome sequencing study to identify candidate markers indicating susceptibility to type 2 diabetes in Bama miniature pigs.Animal models and experimental medicine · 2023Article
- Maternal circulating metabolic biomarkers and their prediction performance for gestational diabetes mellitus related macrosomia.BMC pregnancy and childbirth · 2023Article
- Bioelectrical Impedance Analysis for the Assessment of Body Composition in Sarcopenia and Type 2 Diabetes.Nutrients · 2022Review
- Associations between genetic loci related to lean mass and body composition in type 2 diabetes.Geriatrics & gerontology international · 2021Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
aimSeveral genetic loci related to lean mass have been identified in healthy individuals by genome-wide association studies; however, the contribution of these loci to body composition in type 2 diabetes remains to be investigated. Here, we aimed to clarify the genetic determinants of body composition in individuals with type 2 diabetes.
methodsA total of 176 Japanese outpatients (70 women and 106 men) with type 2 diabetes were studied using a cross-sectional design. Body composition was measured using bioimpedance analysis with a commercially available device (InBody770). Single-nucleotide polymorphisms in IRS1 (rs2943656), HSD17B11 (rs9991501), VCAN (rs2287926), ADAMTSL3 (rs4842924) and FTO (rs9936385) were evaluated by genotyping. The contributions of single-nucleotide polymorphisms to body composition were examined, considering known clinical determinants.
resultsSex, body composition and age were identified as clinical predictors. IRS1 rs2934656 was identified as an independent predictor of skeletal muscle mass (β = 0.11, P = 0.026), and ADAMTSL3 rs4842924 was an independent predictor of body fat mass (β = 0.15, P = 0.0095) and appendicular lean mass (β = -0.13, P = 0.017).
conclusionsThe findings clarified the contribution of genetic factors - IRS1 and ADAMTSL3 - to interindividual variation in body composition, independent of clinical factors, in type 2 diabetes patients. These data will contribute to the establishment of effective methods for the prediction, prevention, and intervention of sarcopenia and frailty in diabetes patients. Geriatr Gerontol Int 2021; 21: 932-938.
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