最近，一篇发表于国际杂志International Journal of Epidemiology上的研究论文中，来自丹麦的科学家们通过研究首次利用基因来调查咖啡对机体的效应，相关研究结果表明咖啡和生活方式引发的疾病风险并无关联。

　　我们都喜欢喝咖啡，本文研究者发现咖啡并不会增加也不会降低个体患生活方式疾病，比如肥胖、188bet在线平台网址 等疾病的风险；研究人员基于机体的基因而开展的研究，因为基因决定着我们一天内摄入咖啡的量。文章中研究者共对9.3万名丹麦人进行了研究，该研究首次调查了基因和个体一生大量摄入咖啡之间的关联，研究者表示，咖啡本身和生活方式引发的疾病并没有任何关系。

　　文章中研究者设计了一种独特的研究方式，即对影响机体对咖啡欲求的基因进行了深入的剖析和研究，如果机体中存在特殊的咖啡基因，那么想必没有这种基因的个体而言，携带咖啡基因的个体摄入咖啡的量要高一些，而这就可以帮助研究者去观察是否大量的咖啡摄入会增加或降低个体患生活方式疾病的风险。

　　最后研究者Boerge Nordestgaard说道，如今通过研究我们都知道，咖啡基因和个体患2型188bet在线平台网址 或肥胖症的风险并无关联，这就表明，喝咖啡并不会引发，同时也并不会保护个体患生活方式类的疾病，后期研究者还将通过更为深入的研究来解析为何喝咖啡和个体患生活方式的疾病并无关系。

　　doi:10.1093/ije/dyv083

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　　Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes: a Mendelian randomization study

　　Ask Tybjrg Nordestgaard1,3, Mette Thomsen1,3 and Brge Grnne Nordestgaard1,2,3,*

　　Background: Coffee is one of the most widely consumed beverages. We tested the hypothesis that genetically high coffee intake is associated with low risk of obesity, metabolic syndrome and type 2 diabetes, and with related components thereof. Methods: We included 93 179 individuals from two large general population cohorts in a Mendelian randomization study. We tested first whether high coffee intake is associated with low risk of obesity, metabolic syndrome and type 2 diabetes, and with related components thereof, in observational analyses; second, whether five genetic variants near the CYP1A1, CYP1A2 and AHR genes are associated with coffee intake; and third, whether the genetic variants are associated with obesity, metabolic syndrome and type 2 diabetes, and with related components thereof. Finally, we tested the genetic association with type 2 diabetes in a meta-analysis including up to 78 021 additional individuals from the DIAGRAM consortium. Results: Observationally, high coffee intake was associated with low risk of obesity, metabolic syndrome and type 2 diabetes. Further, high coffee intake was associated with high body mass index, waist circumference, weight, height, systolic/diastolic blood pressure, triglycerides and total cholesterol and with low high-density lipoprotein cholesterol, but not with glucose levels. In genetic analyses, 9–10 vs 0–3 coffee-intake alleles were associated with 29% higher coffee intake. However, genetically derived high coffee intake was not associated convincingly with obesity, metabolic syndrome, type 2 diabetes, body mass index, waist circumference, weight, height, systolic/diastolic blood pressure, triglycerides, total cholesterol, high-density lipoprotein cholesterol or glucose levels. Per-allele meta-analysed odds ratios for type 2 diabetes were 1.01 (0.98–1.04) for AHR rs4410790, 0.98 (0.95–1.01) for AHR rs6968865, 1.01 (0.99–1.03) for CYP1A1/2 rs2470893, 1.01 (0.98–1.03) for CYP1A1/2 rs2472297 and 0.98 (0.95–1.01) for CYP1A1 rs2472299. Conclusions: High coffee intake was associated observationally with low risk of obesity, metabolic syndrome and type 2 diabetes, and was associated observationally with related components thereof, but with no genetic evidence to support corresponding causal relationships.