Department of Nutritional Sciences, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK.
Br J Nutr. 2019 Jul 28;122(2):121-130. doi: 10.1017/S0007114519001119. Epub 2019 Jul 31.
Rapid advances in 'omics' technologies have paved the way forward to an era where more 'precise' approaches - 'precision' nutrition - which leverage data on genetic variability alongside the traditional indices, have been put forth as the state-of-the-art solution to redress the effects of malnutrition across the life course. We purport that this inference is premature and that it is imperative to first review and critique the existing evidence from large-scale epidemiological findings. We set out to provide a critical evaluation of findings from genome-wide association studies (GWAS) in the roadmap to precision nutrition, focusing on GWAS of micronutrient disposition. We found that a large number of loci associated with biomarkers of micronutrient status have been identified. Mean estimates of heritability of micronutrient status ranged between 20 and 35 % for minerals, 56-59 % for water-soluble and 30-70 % for fat-soluble vitamins. With some exceptions, the majority of the identified genetic variants explained little of the overall variance in status for each micronutrient, ranging between 1·3 and 8 % (minerals), <0·1-12 % (water-soluble) and 1·7-2·3 % for (fat-soluble) vitamins. However, GWAS have provided some novel insight into mechanisms that underpin variability in micronutrient status. Our findings highlight obvious gaps that need to be addressed if the full scope of precision nutrition is ever to be realised, including research aimed at (i) dissecting the genetic basis of micronutrient deficiencies or 'response' to intake/supplementation (ii) identifying trans-ethnic and ethnic-specific effects (iii) identifying gene-nutrient interactions for the purpose of unravelling molecular 'behaviour' in a range of environmental contexts.
“组学”技术的快速发展为我们开辟了一个新时代,在这个时代,更多的“精准”方法——“精准”营养——利用遗传变异性数据以及传统指标,被提出作为解决整个生命过程中营养失调问题的最新解决方案。我们认为这种推断为时过早,首先必须审查和批判大规模流行病学研究结果中的现有证据。我们旨在对精准营养路线图中的全基因组关联研究(GWAS)的研究结果进行批判性评估,重点关注微量营养素分布的 GWAS。我们发现,已经确定了大量与微量营养素状态生物标志物相关的基因座。微量营养素状态的遗传力平均值估计范围在矿物质为 20-35%,水溶性维生素为 56-59%,脂溶性维生素为 30-70%。除了一些例外情况,大多数确定的遗传变异对每种微量营养素的状态总体差异的解释很少,范围在 1.3-8%(矿物质)、<0.1-12%(水溶性)和 1.7-2.3%(脂溶性)。然而,GWAS 为理解影响微量营养素状态的机制提供了一些新的见解。我们的研究结果突出了如果要充分实现精准营养的全部范围,需要解决的明显差距,包括旨在(i)剖析微量营养素缺乏或“对摄入/补充的反应”的遗传基础,(ii)确定跨种族和种族特异性的影响,(iii)确定基因-营养相互作用,以揭示一系列环境背景下的分子“行为”。