MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Lancet. 2018 Jun 16;391(10138):2463-2474. doi: 10.1016/S0140-6736(18)31132-2.
Genome-wide association studies have implicated around 250 genomic regions in predisposition to type 2 diabetes, with evidence for causal variants and genes emerging for several of these regions. Understanding of the underlying mechanisms, including the interplay between β-cell failure, insulin sensitivity, appetite regulation, and adipose storage has been facilitated by the integration of multidimensional data for diabetes-related intermediate phenotypes, detailed genomic annotations, functional experiments, and now multiomic molecular features. Studies in diverse ethnic groups and examples from population isolates have shown the value and need for a broad genomic approach to this global disease. Transethnic discovery efforts and large-scale biobanks in diverse populations and ancestries could help to address some of the Eurocentric bias. Despite rapid progress in the discovery of the highly polygenic architecture of type 2 diabetes, dominated by common alleles with small, cumulative effects on disease risk, these insights have been of little clinical use in terms of disease prediction or prevention, and have made only small contributions to subtype classification or stratified approaches to treatment. Successful development of academia-industry partnerships for exome or genome sequencing in large biobanks could help to deliver economies of scale, with implications for the future of genomics-focused research.
全基因组关联研究已经确定了大约 250 个与 2 型糖尿病易感性相关的基因组区域,其中一些区域的因果变异和基因已经得到证实。通过整合与糖尿病相关的中间表型的多维数据、详细的基因组注释、功能实验以及现在的多组学分子特征,人们对潜在机制有了更深入的了解,包括β细胞衰竭、胰岛素敏感性、食欲调节和脂肪储存之间的相互作用。在不同种族群体中的研究以及来自人群隔离群体的例子表明,对于这种全球性疾病,需要采用广泛的基因组方法。在不同人群和祖源的跨种族发现努力和大型生物库中,可以帮助解决一些以欧洲为中心的偏见。尽管在发现 2 型糖尿病的高度多基因结构方面取得了快速进展,这些结构主要由对疾病风险具有累积小效应的常见等位基因主导,但就疾病预测或预防而言,这些发现几乎没有临床应用价值,对亚型分类或分层治疗方法的贡献也很小。在大型生物库中成功建立学术界-工业界合作伙伴关系,进行外显子或基因组测序,可能有助于实现规模经济,这对以基因组为重点的研究的未来具有重要意义。