Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA.
Harvard Medical School, Boston, MA.
J Bone Miner Res. 2019 Jul;34(7):1284-1296. doi: 10.1002/jbmr.3698. Epub 2019 Mar 19.
Hip geometry is an important predictor of fracture. We performed a meta-analysis of GWAS studies in adults to identify genetic variants that are associated with proximal femur geometry phenotypes. We analyzed four phenotypes: (i) femoral neck length; (ii) neck-shaft angle; (iii) femoral neck width, and (iv) femoral neck section modulus, estimated from DXA scans using algorithms of hip structure analysis. In the Discovery stage, 10 cohort studies were included in the fixed-effect meta-analysis, with up to 18,719 men and women ages 16 to 93 years. Association analyses were performed with ∼2.5 million polymorphisms under an additive model adjusted for age, body mass index, and height. Replication analyses of meta-GWAS significant loci (at adjusted genomewide significance [GWS], threshold p ≤ 2.6 × 10 ) were performed in seven additional cohorts in silico. We looked up SNPs associated in our analysis, for association with height, bone mineral density (BMD), and fracture. In meta-analysis (combined Discovery and Replication stages), GWS associations were found at 5p15 (IRX1 and ADAMTS16); 5q35 near FGFR4; at 12p11 (in CCDC91); 11q13 (near LRP5 and PPP6R3 (rs7102273)). Several hip geometry signals overlapped with BMD, including LRP5 (chr. 11). Chr. 11 SNP rs7102273 was associated with any-type fracture (p = 7.5 × 10 ). We used bone transcriptome data and discovered several significant eQTLs, including rs7102273 and PPP6R3 expression (p = 0.0007), and rs6556301 (intergenic, chr.5 near FGFR4) and PDLIM7 expression (p = 0.005). In conclusion, we found associations between several genes and hip geometry measures that explained 12% to 22% of heritability at different sites. The results provide a defined set of genes related to biological pathways relevant to BMD and etiology of bone fragility. © 2019 American Society for Bone and Mineral Research.
髋部几何形状是骨折的重要预测因子。我们对成年人的 GWAS 研究进行了荟萃分析,以确定与股骨近端几何形状表型相关的遗传变异。我们分析了四个表型:(i)股骨颈长度;(ii)颈干角;(iii)股骨颈宽度;(iv)使用髋结构分析算法从 DXA 扫描中估计的股骨颈截面模数。在发现阶段,纳入了 10 项队列研究的固定效应荟萃分析,其中包括 16 至 93 岁的 18719 名男性和女性。关联分析采用加性模型进行,调整了年龄、体重指数和身高。在另外 7 个队列中,使用基于全基因组显著性调整的 2.5 万个多态性进行了元 GWAS 显著位点的复制分析(调整后的全基因组显著性阈值为 p≤2.6×10 )。我们查找了我们分析中与身高、骨密度(BMD)和骨折相关的关联 SNP。在荟萃分析(包括发现和复制阶段)中,在 5p15(IRX1 和 ADAMTS16);5q35 附近的 FGFR4;12p11(CCDC91 中);11q13(LRP5 附近,PPP6R3(rs7102273))处发现了全基因组显著性关联。几个髋部几何形状信号与 BMD 重叠,包括 LRP5(chr.11)。Chr.11 SNP rs7102273 与任何类型的骨折相关(p=7.5×10 )。我们使用骨转录组数据,发现了几个显著的 eQTLs,包括 rs7102273 和 PPP6R3 的表达(p=0.0007),以及 rs6556301(chr.5 附近的基因间,FGFR4 附近)和 PDLIM7 的表达(p=0.005)。总之,我们发现了几个基因与髋部几何形状测量值之间的关联,这些关联在不同部位解释了 12%至 22%的遗传率。研究结果提供了一组与骨密度和骨脆弱性病因学相关的生物途径相关的明确基因。