Department of Medicine, The University of Hong Kong, Room 420, Block K, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong, China.
Nat Rev Rheumatol. 2010 Sep;6(9):507-17. doi: 10.1038/nrrheum.2010.106. Epub 2010 Aug 3.
Osteoporosis is an important and complex disorder that is highly prevalent worldwide. This disease poses a major challenge to modern medicine and its treatment is associated with high costs. Numerous studies have endeavored to decipher the pathogenesis of this disease. The clinical assessment of patients often incorporates information about a family history of osteoporotic fractures. Indeed, the observation of an increased risk of fracture in an individual with a positive parental history of hip fracture provides strong evidence for the heritability of osteoporosis. The onset and progression of osteoporosis are generally controlled by multiple genetic and environmental factors, as well as interactions between them, with rare cases determined by a single gene. In an attempt to identify the genetic markers of complex diseases such as osteoporosis, there has been a move away from traditional linkage mapping studies and candidate gene association studies to higher-density genome-wide association studies. The advent of high-throughput technology enables genotyping of millions of DNA markers in the human genome, and consequently the identification and characterization of causal variants and loci that underlie osteoporosis. This Review presents an overview of the major findings since 2007 and clinical applications of these genome-wide linkage and association studies.
骨质疏松症是一种重要且复杂的疾病,在全球范围内广泛存在。这种疾病对现代医学构成了重大挑战,其治疗费用高昂。许多研究都致力于破解这种疾病的发病机制。对患者的临床评估通常会纳入有关骨质疏松性骨折家族史的信息。事实上,观察到个体有阳性的父母髋部骨折史,骨折风险增加,这为骨质疏松症的遗传性提供了强有力的证据。骨质疏松症的发病和进展通常受到多种遗传和环境因素的控制,以及它们之间的相互作用,极少数情况下由单个基因决定。为了确定骨质疏松症等复杂疾病的遗传标记物,人们已经从传统的连锁图谱研究和候选基因关联研究转向更高密度的全基因组关联研究。高通量技术的出现使得能够对人类基因组中的数百万个 DNA 标记物进行基因分型,从而确定和描述骨质疏松症的因果变异和基因座。本综述介绍了自 2007 年以来的主要发现以及这些全基因组连锁和关联研究的临床应用。