Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA, USA.
Nat Commun. 2021 Jun 7;12(1):3408. doi: 10.1038/s41467-021-23649-0.
Genome-wide association studies (GWASs) for osteoporotic traits have identified over 1000 associations; however, their impact has been limited by the difficulties of causal gene identification and a strict focus on bone mineral density (BMD). Here, we use Diversity Outbred (DO) mice to directly address these limitations by performing a systems genetics analysis of 55 complex skeletal phenotypes. We apply a network approach to cortical bone RNA-seq data to discover 66 genes likely to be causal for human BMD GWAS associations, including the genes SERTAD4 and GLT8D2. We also perform GWAS in the DO for a wide-range of bone traits and identify Qsox1 as a gene influencing cortical bone accrual and bone strength. In this work, we advance our understanding of the genetics of osteoporosis and highlight the ability of the mouse to inform human genetics.
全基因组关联研究(GWAS)已经确定了超过 1000 个与骨质疏松症相关的基因,然而,由于因果基因鉴定的困难以及对骨密度(BMD)的严格关注,这些研究的影响受到了限制。在这里,我们使用多样性杂交(DO)小鼠,通过对 55 种复杂骨骼表型进行系统遗传学分析,直接解决这些局限性。我们应用网络方法对皮质骨 RNA-seq 数据进行分析,发现了 66 个可能与人类 BMD GWAS 关联有关的因果基因,包括 SERTAD4 和 GLT8D2 基因。我们还在 DO 中对广泛的骨骼性状进行了 GWAS 分析,并确定了 Qsox1 基因影响皮质骨积累和骨强度。在这项工作中,我们加深了对骨质疏松症遗传学的理解,并强调了小鼠在人类遗传学研究中的应用。