中文摘要：

目的当前在骨关节疾病研究领域缺乏系统的跨组学研究,现就骨质疏松症全基因组多组学整合分析作一介评。方法该研究利用两个Meta分析的全基因组关联研究（GWAS）数据集,通过DMS算法在人类蛋白质互作网络（PPI）搜索得到影响骨密度的基因模块,然后使用基因表达谱数据对基因模块与疾病相关性进行评价。结果研究发现42个与股骨颈骨密度相关的基因模块和129个与腰椎骨密度相关的基因模块。利用基因表达谱评价候选基因模块与骨密度的相关性,最终得到两个显著相关的基因模块,功能涉及Wnt受体信号转导和成骨细胞分化。结论该研究发现的基因模块在骨量的调节中发挥着重要作用,为阐明骨质疏松症的发病机制提供了重要线索。

英文摘要：

Objective To review the integrative analysis of osteoporosis genome-wide with multi-omics data.Methods Data collected from two Meta-analyses regarding GWAS were analyzed and DMS calculations were used to find out the gene modules influencing bone mineral density on human protein-protein interactions networks.The gene modules and diseases relativity were reviewed.Results A total of 42 gene modules were found to be related to femoral and neck bone mineral densities and129 gene modules related to bone mineral density of lumbar vertebra.The relativity between gene modules and bone mineral density were strongly related to each other,including functions such as receptor signal transduction and osteoblast differentiation.Conclusion The gene modules discovered in this study play important roles in bone mass adjustments,providing theoretic clues to fully explain the pathogenesis of osteoporosis.