Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Homerton College, Hills Road, Cambridge, CB2 8PH, UK.
Eur J Epidemiol. 2019 Jun;34(6):591-600. doi: 10.1007/s10654-019-00485-7. Epub 2019 Feb 8.
Observational studies suggest that higher birth weight (BW) is associated with increased risk of breast cancer in adult life. We conducted a two-sample Mendelian randomisation (MR) study to assess whether this association is causal. Sixty independent single nucleotide polymorphisms (SNPs) known to be associated at P < 5 × 10 with BW were used to construct (1) a 41-SNP instrumental variable (IV) for univariable MR after removing SNPs with pleiotropic associations with other breast cancer risk factors and (2) a 49-SNP IV for multivariable MR after filtering SNPs for data availability. BW predicted by the 41-SNP IV was not associated with overall breast cancer risk in inverse-variance weighted (IVW) univariable MR analysis of genetic association data from 122,977 breast cancer cases and 105,974 controls (odds ratio = 0.86 per 500 g higher BW; 95% confidence interval 0.73-1.01). Sensitivity analyses using four alternative methods and three alternative IVs, including an IV with 59 of the 60 BW-associated SNPs, yielded similar results. Multivariable MR adjusting for the effects of the 49-SNP IV on birth length, adult height, adult body mass index, age at menarche, and age at menopause using IVW and MR-Egger methods provided estimates consistent with univariable analyses. Results were also similar when all analyses were repeated after restricting to estrogen receptor-positive or -negative breast cancer cases. Point estimates of the odds ratios from most analyses performed indicated an inverse relationship between genetically-predicted BW and breast cancer, but we are unable to rule out an association between the non-genetically-determined component of BW and breast cancer. Thus, genetically-predicted higher BW was not associated with an increased risk of breast cancer in adult life in our MR study.
观察性研究表明,较高的出生体重(BW)与成年后患乳腺癌的风险增加有关。我们进行了一项两样本孟德尔随机化(MR)研究,以评估这种关联是否具有因果关系。我们使用 60 个独立的单核苷酸多态性(SNP),这些 SNP 已知与 BW 相关,P 值均小于 5×10,用于构建(1)用于单变量 MR 的 41-SNP 工具变量(IV),在去除与其他乳腺癌风险因素具有多效性关联的 SNP 后,(2)用于多变量 MR 的 49-SNP IV,在筛选用于数据可用性的 SNP 后。在对来自 122977 例乳腺癌病例和 105974 例对照的遗传关联数据进行逆方差加权(IVW)单变量 MR 分析时,由 41-SNP IV 预测的 BW 与总体乳腺癌风险无关(每增加 500 克 BW,比值比为 0.86;95%置信区间为 0.73-1.01)。使用四种替代方法和三种替代 IV 进行的敏感性分析,包括包含 60 个 BW 相关 SNP 中的 59 个的 IV,得出了类似的结果。使用 IVW 和 MR-Egger 方法,通过多变量 MR 调整 49-SNP IV 对出生长度、成人身高、成人体重指数、初潮年龄和绝经年龄的影响,提供了与单变量分析一致的估计。当所有分析在限制为雌激素受体阳性或阴性乳腺癌病例后重复进行时,结果也是相似的。大多数分析的点估计比值表明,BW 与乳腺癌之间存在反比关系,但我们无法排除 BW 的非遗传决定成分与乳腺癌之间的关联。因此,在我们的 MR 研究中,遗传预测的 BW 较高与成年后患乳腺癌的风险增加无关。