Hip shape shows a causal effect on hip fracture but not hip osteoarthritis: findings from a GWAS meta-analysis and causal analyses

Benjamin G Faber, Monika Frysz, Jiayi Zheng, Huandong Lin, Kaitlyn Flynn, Raja Ebsim, Fiona R Saunders, Rhona A Beynon, Jenny S Gregory, Richard M Aspden, Nicholas C Harvey, Claudia Lindner, Tim Cootes, David Evans, George Davey Smith, Xin Gao, Sijia Wang, John Kemp, Jon Tobias
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Abstract

Objectives Hip shape is thought to be an important causal risk factor for hip osteoarthritis and fracture. We aimed to identify genetic determinants of hip shape and use these to assess causal relationships with hip osteoarthritis. Methods Statistical hip shape modelling was used to derive 10 hip shape modes (HSMs) from DXA images in UK Biobank and Shanghai Changfeng cohorts (ntotal=43,485). Genome-wide association study meta-analyses were conducted for each HSM. Two-sample Mendelian randomisation (MR) was used to estimate causal effects between HSM and hip osteoarthritis using hip fracture as a positive control. Results Analysis of the first 10 HSMs identified 290 independent association signals (P<5×10-8). Hip shape SNPs were also associated (P<1.7×10-4) with hip osteoarthritis (n=29) and hip fracture (n=4). Fine mapping implicated SMAD3 and PLEC as candidate genes that may be involved in the development of hip shape and hip osteoarthritis. MR analyses suggested there was no causal effect between any HSM and hip osteoarthritis, however there was evidence that HSM2 (higher neck-shaft angle) and HSM4 (wider femoral neck) have a causal effect on hip fracture (ORIVW 1.27 [95% CI 1.12-1.44], P=1.79×10-4 and ORIVW 0.74 [0.65-0.84], P=7.60×10-6 respectively) Conclusions We report the largest hip shape GWAS meta-analysis that identifies hundreds of novel loci, some of which are also associated with hip osteoarthritis and hip fracture. MR analyses suggest hip shape may not cause hip osteoarthritis but is implicated in hip fractures. Consequently, interventions aimed at modifying hip shape in older adults to prevent hip osteoarthritis may prove ineffective.
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髋部形状对髋部骨折有因果效应,但对髋部骨关节炎无因果效应:GWAS 元分析和因果分析的结果
目的 髋关节形状被认为是髋关节骨性关节炎和骨折的一个重要因果风险因素。我们旨在确定髋关节形状的遗传决定因素,并利用这些因素评估与髋关节骨性关节炎的因果关系。方法从英国生物库和上海长风队列(总人数=43,485 人)的 DXA 图像中提取 10 种髋关节形状模式(HSMs),并进行统计髋关节形状建模。针对每种 HSM 进行了全基因组关联研究荟萃分析。以髋部骨折为阳性对照,采用双样本孟德尔随机化法(MR)估算 HSM 与髋关节骨关节炎之间的因果效应。结果 对前 10 个 HSM 的分析发现了 290 个独立的关联信号(P<5×10-8)。髋关节形状 SNPs 也与髋关节骨关节炎(29 个)和髋部骨折(4 个)相关(P<1.7×10-4)。精细图谱显示,SMAD3 和 PLEC 是可能与髋关节形状和髋关节骨关节炎的发生有关的候选基因。磁共振分析表明,任何 HSM 与髋关节骨关节炎之间都没有因果关系,但有证据表明,HSM2(颈轴角较大)和 HSM4(股骨颈较宽)对髋部骨折有因果关系(ORIVW 1.27 [95% CI 1.12-1.44],P=1.79×10-4;ORIVW 0.74 [0.65-0.84],P=7.60×10-6)结论 我们报告了规模最大的髋关节形状 GWAS meta 分析,发现了数百个新的基因座,其中一些还与髋关节骨关节炎和髋部骨折有关。磁共振分析表明,髋关节形状可能不会导致髋关节骨关节炎,但与髋部骨折有关。因此,旨在改变老年人髋关节形状以预防髋关节骨性关节炎的干预措施可能证明是无效的。
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