Timpson Nicholas J, Sayers Adrian, Davey-Smith George, Tobias Jonathan H
MRC Centre for Causal Analyses in Translational Epidemiology, Department of Social Medicine, University of Bristol, Bristol, UK.
J Bone Miner Res. 2009 Mar;24(3):522-33. doi: 10.1359/jbmr.081109.
Fat mass may be a causal determinant of bone mass, but the evidence is conflicting, possibly reflecting the influence of confounding factors. The recent identification of common genetic variants related to obesity in children provides an opportunity to implement a Mendelian randomization study of obesity and bone outcomes, which is less subject to confounding and several biases than conventional approaches. Genotyping was retrieved for variants of two loci reliably associated with adiposity (the fat mass and obesity-related gene FTO and that upstream of the MC4R locus) within 7470 children from the Avon Longitudinal Study of Parents and Children (ALSPAC) who had undergone total body DXA scans at a mean of 9.9 yr. Relationships between both fat mass/genotypes and bone measures were assessed in efforts to determine evidence of causality between adiposity and bone mass. In conventional tests of association, both with and without height adjustment, total fat mass was strongly related to total body, spinal, and upper and lower limb BMC (ratio of geometric means [RGM]: 1.118 [95% CI: 1.112, 1.123], 1.110 [95% CI: 1.102, 1.119], 1.101 [95% CI: 1.093, 1.108], 1.146 [95% CI: 1.143, 1.155]; p < 10(-10) [adjusted for sex, height, and sitting height]). Equivalent or larger effects were obtained from instrumental variable (IV) regression including the same covariates (1.139 [95% CI: 1.064, 1.220], 1.090 [95% CI: 1.010, 1.177], 1.142 [95% CI: 1.049, 1.243], 1.176 [95% CI: 1.099, 1.257]; p = 0.0002, 0.03, 0.002, and 2.3(-6) respectively). Similar results were obtained after adjusting for puberty, when truncal fat mass was used in place of total fat, and when bone area was used instead of bone mass. In analyses where total body BMC adjusted for bone area (BA) was the outcome (reflecting volumetric BMD), linear regression with fat mass showed evidence for association (1.004 [95% CI: 1.002, 1.007], p = 0.0001). IV regression also showed a positive effect (1.031 [95% CI: 1.000, 1.062], p = 0.05). When MC4R and FTO markers were used as instruments for fat mass, similar associations with BMC were seen to those with fat mass as measured by DXA. This suggests that fat mass is on the causal pathway for bone mass in children. In addition, both directly assessed and IV-assessed relationships between fat mass and volumetric density showed evidence for positive effects, supporting a hypothesis that fat effects on bone mass are not entirely accounted for by association with overall bone size.
脂肪量可能是骨量的一个因果决定因素,但证据存在矛盾,这可能反映了混杂因素的影响。最近在儿童中发现了与肥胖相关的常见基因变异,这为开展一项关于肥胖与骨骼结局的孟德尔随机化研究提供了契机,该研究比传统方法更不易受混杂因素和多种偏倚的影响。在阿冯父母与儿童纵向研究(ALSPAC)的7470名儿童中,检索了与肥胖可靠相关的两个基因座的变异(脂肪量和肥胖相关基因FTO以及MC4R基因座上游的变异)的基因分型,这些儿童平均在9.9岁时接受了全身双能X线吸收法(DXA)扫描。评估了脂肪量/基因型与骨测量指标之间的关系,以确定肥胖与骨量之间因果关系的证据。在传统的关联性检验中,无论是否进行身高调整,总脂肪量与全身、脊柱以及上肢和下肢的骨矿含量(几何均值比[RGM]:1.118[95%置信区间:1.112,1.123]、1.110[95%置信区间:1.102,1.119]、1.101[95%置信区间:1.093,1.108]、1.146[95%置信区间:1.143,1.155];p<10⁻¹⁰[经性别、身高和坐高调整])均密切相关。在纳入相同协变量的工具变量(IV)回归分析中得到了等效或更大的效应(1.139[95%置信区间:1.064,1.220]、1.090[95%置信区间:1.010,1.177]、1.142[95%置信区间:1.049,1.243]、1.176[95%置信区间:1.099,1.257];p分别为0.0002、0.03、0.002和2.3⁻⁶)。在调整青春期因素后,当使用躯干脂肪量代替总脂肪量,以及当使用骨面积代替骨量时,也得到了类似的结果。在以调整骨面积(BA)后的全身骨矿含量为结局指标(反映体积骨密度)的分析中,脂肪量的线性回归显示出关联证据(1.004[9