Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, Australia.
Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, Australia; Department of Pharmacology, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Clin Nutr. 2020 Nov;39(11):3467-3476. doi: 10.1016/j.clnu.2020.03.009. Epub 2020 Mar 13.
Coffee is the most commonly consumed beverage in the world after water, however the debate as to whether coffee consumption is beneficial or detrimental to health continues. Current evidence of the link between coffee and health outcomes is predominately observational, thus subject to methodological issues such a confounding and reverse causation.
This Mendelian randomisation phenome-wide association study (MR-PheWAS) used information from up to 333,214 participants of White-British ancestry in the UK Biobank to examine the causal association between genetically instrumented habitual coffee consumption and the full range of disease outcomes. We constructed a genetic risk score for habitual coffee consumption and screened for associations with disease outcomes across 1117 case-control series. All signals under false discovery rate controlled threshold (5.8 × 10) were followed by Mendelian randomisation (MR) analyses, with replication in independent data sources where possible.
The initial phenome-wide association analysis identified signals for 13 outcomes representing five distinct diseases. The strongest signal was seen for gout (P = 2.3 × 10), but there was notable pleiotropy (P <0.001) and MR analyses did not support an association with habitual coffee consumption (inverse variance weighted MR OR 0.41, 95% CI 0.08 to 2.25, P = 0.31). Support for a possible causal relationship between habitual coffee consumption was only obtained for four distinct disease outcomes, including an increased odds of osteoarthrosis (OR 1.23, 95% CI 1.11 to 1.35), other arthropathies (OR 1.22, 95% CI 1.12 to 1.33) and overweight (OR 1.28, 95% CI 1.05 to 1.56), and a lower odds of postmenopausal bleeding (OR 0.72, 95% CI 0.63 to 0.82). Evidence for an association between habitual coffee consumption and these four diseases was also supported by phenotypic associations with self-reported coffee consumption.
This large-scale MR-PheWAS provided little evidence for notable harm or benefit with respect to higher habitual coffee consumption. The only evidence for harm was seen with respect to osteoarthrosis, other arthropathies and obesity.
咖啡是继水之后世界上最常饮用的饮料,但关于咖啡消费对健康有益还是有害的争论仍在继续。目前关于咖啡与健康结果之间联系的证据主要是观察性的,因此存在混杂和反向因果关系等方法学问题。
本孟德尔随机化全表型关联研究(MR-PheWAS)利用英国生物库中多达 333214 名白种英国人的数据,研究了习惯性咖啡消费与各种疾病结果之间的因果关联。我们构建了习惯性咖啡消费的遗传风险评分,并在 1117 个病例对照系列中筛查与疾病结果的关联。在虚假发现率控制阈值(5.8×10)下,所有信号都经过孟德尔随机化(MR)分析,并在可能的情况下在独立数据源中进行复制。
全表型关联分析最初确定了 13 种代表五种不同疾病的结果的信号。最强的信号见于痛风(P=2.3×10),但存在明显的多效性(P<0.001),MR 分析不支持习惯性咖啡消费与痛风之间存在关联(逆方差加权 MR OR 0.41,95%CI 0.08 至 2.25,P=0.31)。仅在四个不同的疾病结果中获得了习惯性咖啡消费与可能存在因果关系的支持,包括骨关节炎(OR 1.23,95%CI 1.11 至 1.35)、其他关节病(OR 1.22,95%CI 1.12 至 1.33)和超重(OR 1.28,95%CI 1.05 至 1.56)的几率增加,以及绝经后出血(OR 0.72,95%CI 0.63 至 0.82)的几率降低。习惯性咖啡消费与这四种疾病之间的关联也得到了基于自我报告的咖啡消费的表型关联的支持。
本大规模的 MR-PheWAS 几乎没有提供关于习惯性饮用咖啡与更高咖啡摄入量相关的显著危害或益处的证据。唯一与危害相关的证据是与骨关节炎、其他关节病和肥胖有关。