Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
School of Public Health, University of Queensland, Brisbane, QLD, Australia.
Int J Epidemiol. 2020 Aug 1;49(4):1236-1245. doi: 10.1093/ije/dyaa009.
Height and body mass index (BMI) have both been positively associated with melanoma risk, although findings for BMI have been less consistent than height. It remains unclear, however, whether these associations reflect causality or are due to residual confounding by environmental and lifestyle risk factors. We re-evaluated these associations using a two-sample Mendelian randomization (MR) approach.
We identified single nucleotide polymorphisms (SNPs) for BMI and height from separate genome-wide association study (GWAS) meta-analyses. We obtained melanoma SNPs from the most recent melanoma GWAS meta-analysis comprising 12 874 cases and 23 203 controls. We used the inverse variance-weighted estimator to derive separate causal risk estimates across all SNP instruments for BMI and height.
Based on the combined estimate derived from 730 SNPs for BMI, we found no evidence of an association between genetically predicted BMI and melanoma [odds ratio (OR) per one standard deviation (1 SD) (4.6 kg/m2) increase in BMI 1.00, 95% confidence interval (CI): 0.91-1.11]. In contrast, we observed a positive association between genetically-predicted height (derived from a pooled estimate of 3290 SNPs) and melanoma risk [OR 1.08, 95% CI: 1.02-1.13, per 1 SD (9.27 cm) increase in height]. Sensitivity analyses using two alternative MR methods yielded similar results.
These findings provide no evidence for a causal association between higher BMI and melanoma, but support the notion that height is causally associated with melanoma risk. Mechanisms through which height influences melanoma risk remain unclear, and it remains possible that the effect could be mediated through diverse pathways including growth factors and even socioeconomic status.
身高和体重指数(BMI)均与黑色素瘤风险呈正相关,尽管 BMI 的相关结果不如身高那么一致。然而,目前尚不清楚这些关联是否反映了因果关系,或者是否是由于环境和生活方式风险因素的残余混杂造成的。我们使用两样本孟德尔随机化(MR)方法重新评估了这些关联。
我们从单独的全基因组关联研究(GWAS)荟萃分析中确定了 BMI 和身高的单核苷酸多态性(SNP)。我们从最近的黑色素瘤 GWAS 荟萃分析中获得了黑色素瘤 SNPs,该分析包含 12874 例病例和 23203 例对照。我们使用逆方差加权估计量,针对 BMI 和身高的所有 SNP 工具,得出了单独的因果风险估计值。
基于针对 BMI 的 730 个 SNP 的综合估计值,我们没有发现遗传预测 BMI 与黑色素瘤之间存在关联[每增加一个标准差(1 SD)(4.6 kg/m2)的 BMI 的比值比(OR)为 1.00,95%置信区间(CI):0.91-1.11]。相比之下,我们观察到遗传预测身高(源自 3290 个 SNP 的汇总估计值)与黑色素瘤风险之间存在正相关[OR 1.08,95%CI:1.02-1.13,每增加 1 SD(9.27 cm)身高的 OR]。使用两种替代 MR 方法进行的敏感性分析得出了相似的结果。
这些发现没有提供 BMI 较高与黑色素瘤之间存在因果关联的证据,但支持身高与黑色素瘤风险之间存在因果关联的观点。身高影响黑色素瘤风险的机制尚不清楚,而且仍然有可能这种影响可能通过包括生长因子甚至社会经济地位在内的各种途径来介导。