Clinical and Molecular Epidemiology Unit, Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece.
Center for Research Synthesis in Health, Department of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, RI, USA.
Curr Osteoporos Rep. 2020 Oct;18(5):606-619. doi: 10.1007/s11914-020-00618-y.
We summarize recent evidence on the shared genetics within and outside the musculoskeletal system (mostly related to bone density and osteoporosis).
Osteoporosis is determined by an interplay between multiple genetic and environmental factors. Significant progress has been made regarding its genetic background revealing a number of robustly validated loci and respective pathways. However, pleiotropic factors affecting bone and other tissues are not well understood. The analytical methods proposed to test for potential associations between genetic variants and multiple phenotypes can be applied to bone-related data. A number of recent genetic studies have shown evidence of pleiotropy between bone density and other different phenotypes (traits, conditions, or diseases), within and outside the musculoskeletal system. Power benefits of combining correlated phenotypes, as well as unbiased discovery, make these studies promising. Studies in humans are supported by evidence from animal models. Drug development and repurposing should benefit from the pleiotropic approach. We believe that future studies should take into account shared genetics between the bone and related traits.
我们总结了骨骼肌肉系统内外(主要与骨密度和骨质疏松症相关)共享遗传学的最新证据。
骨质疏松症由多种遗传和环境因素相互作用决定。其遗传背景的研究取得了重大进展,发现了许多经过充分验证的基因座和相关途径。然而,影响骨骼和其他组织的多效因子尚未得到很好的理解。提出的用于测试遗传变异与多种表型之间潜在关联的分析方法可应用于与骨骼相关的数据。许多最近的遗传研究表明,骨骼密度与骨骼肌肉系统内外的其他不同表型(特征、状况或疾病)之间存在着明显的多效性。结合相关表型的功效优势以及无偏发现,使得这些研究很有前途。来自动物模型的证据支持了人类的研究。药物开发和再利用将受益于多效性方法。我们认为,未来的研究应该考虑骨骼和相关特征之间的共享遗传学。