Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
BMC Med. 2022 Feb 1;20(1):34. doi: 10.1186/s12916-021-02216-w.
Greater maternal adiposity before or during pregnancy is associated with greater offspring adiposity throughout childhood, but the extent to which this is due to causal intrauterine or periconceptional mechanisms remains unclear. Here, we use Mendelian randomisation (MR) with polygenic risk scores (PRS) to investigate whether associations between maternal pre-/early pregnancy body mass index (BMI) and offspring adiposity from birth to adolescence are causal.
We undertook confounder adjusted multivariable (MV) regression and MR using mother-offspring pairs from two UK cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC) and Born in Bradford (BiB). In ALSPAC and BiB, the outcomes were birthweight (BW; N = 9339) and BMI at age 1 and 4 years (N = 8659 to 7575). In ALSPAC only we investigated BMI at 10 and 15 years (N = 4476 to 4112) and dual-energy X-ray absorptiometry (DXA) determined fat mass index (FMI) from age 10-18 years (N = 2659 to 3855). We compared MR results from several PRS, calculated from maternal non-transmitted alleles at between 29 and 80,939 single nucleotide polymorphisms (SNPs).
MV and MR consistently showed a positive association between maternal BMI and BW, supporting a moderate causal effect. For adiposity at most older ages, although MV estimates indicated a strong positive association, MR estimates did not support a causal effect. For the PRS with few SNPs, MR estimates were statistically consistent with the null, but had wide confidence intervals so were often also statistically consistent with the MV estimates. In contrast, the largest PRS yielded MR estimates with narrower confidence intervals, providing strong evidence that the true causal effect on adolescent adiposity is smaller than the MV estimates (P = 0.001 for 15-year BMI). This suggests that the MV estimates are affected by residual confounding, therefore do not provide an accurate indication of the causal effect size.
Our results suggest that higher maternal pre-/early-pregnancy BMI is not a key driver of higher adiposity in the next generation. Thus, they support interventions that target the whole population for reducing overweight and obesity, rather than a specific focus on women of reproductive age.
母亲在怀孕前或怀孕期间的体脂过多与后代在整个儿童期的体脂过多有关,但这种情况在多大程度上是由于宫内或围孕期的因果关系尚不清楚。在这里,我们使用多基因风险评分(PRS)的孟德尔随机化(MR)来研究母亲在怀孕前/早期的身体质量指数(BMI)与后代从出生到青春期的肥胖之间的关联是否具有因果关系。
我们对来自英国两个队列的母子对进行了混杂因素调整的多变量(MV)回归和 MR 分析:阿冯纵向研究父母和孩子(ALSPAC)和出生在布拉德福德(BiB)。在 ALSPAC 和 BiB 中,结果是出生体重(BW;N=9339)和 1 岁和 4 岁时的 BMI(N=8659 至 7575)。仅在 ALSPAC 中,我们调查了 10 岁和 15 岁时的 BMI(N=4476 至 4112)和双能 X 射线吸收法(DXA)从 10-18 岁时确定的脂肪量指数(FMI)(N=2659 至 3855)。我们比较了来自多个 PRS 的 MR 结果,这些 PRS 是从母亲非传递等位基因在 29 到 80939 个单核苷酸多态性(SNP)中计算出来的。
MV 和 MR 一致显示出母亲 BMI 与 BW 之间存在正相关,支持了中度因果效应。对于大多数较年长年龄的肥胖症,尽管 MV 估计值表明存在强烈的正相关,但 MR 估计值不支持因果关系。对于 SNP 数量较少的 PRS,MR 估计值在统计学上与零值一致,但置信区间较宽,因此在统计学上也经常与 MV 估计值一致。相比之下,最大的 PRS 产生了置信区间较窄的 MR 估计值,这有力地表明,对青少年肥胖症的真正因果效应小于 MV 估计值(P=0.001 用于 15 岁时的 BMI)。这表明 MV 估计值受到残余混杂因素的影响,因此不能准确指示因果效应大小。
我们的结果表明,母亲在怀孕前/早期的 BMI 较高并不是下一代肥胖的关键驱动因素。因此,它们支持针对整个人群的减少超重和肥胖的干预措施,而不是针对育龄妇女的具体重点。