Liu Yong-Jun, Zhang Lei, Papasian Christopher J, Deng Hong-Wen
Center for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Center for Bioinformatics and Genomics, Department of Biostatistics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. ; Center of System Biomedical Sciences, University of Shanghai for Science and Technology, Shanghai, PR, China.
J Bone Metab. 2014 May;21(2):99-116. doi: 10.11005/jbm.2014.21.2.99. Epub 2014 May 31.
In the past few years, the bone field has witnessed great advances in genome-wide association studies (GWASs) of osteoporosis, with a number of promising genes identified. In particular, meta-analysis of GWASs, aimed at increasing the power of studies by combining the results from different study populations, have led to the identification of novel associations that would not otherwise have been identified in individual GWASs. Recently, the first whole genome sequencing study for osteoporosis and fractures was published, reporting a novel rare nonsense mutation. This review summarizes the important and representative findings published by December 2013. Comments are made on the notable findings and representative studies for their potential influence and implications on our present understanding of the genetics of osteoporosis. Potential limitations of GWASs and their meta-analyses are evaluated, with an emphasis on understanding the reasons for inconsistent results between different studies and clarification of misinterpretation of GWAS meta-analysis results. Implications and challenges of GWAS are also discussed, including the need for multi- and inter-disciplinary studies.
在过去几年中,骨科学领域在骨质疏松症的全基因组关联研究(GWAS)方面取得了巨大进展,已鉴定出许多有前景的基因。特别是,GWAS的荟萃分析旨在通过合并不同研究人群的结果来提高研究效能,从而发现了一些在单个GWAS中无法发现的新关联。最近,发表了第一项关于骨质疏松症和骨折的全基因组测序研究,报告了一种新的罕见无义突变。本综述总结了截至2013年12月发表的重要且具代表性的研究结果。针对这些显著发现和代表性研究对我们目前对骨质疏松症遗传学理解的潜在影响及意义进行了评论。评估了GWAS及其荟萃分析的潜在局限性,重点在于理解不同研究结果不一致的原因以及澄清对GWAS荟萃分析结果的错误解读。还讨论了GWAS的影响和挑战,包括开展多学科和跨学科研究的必要性。