Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA; Center for Precision Health Research, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.
Mol Metab. 2024 Aug;86:101973. doi: 10.1016/j.molmet.2024.101973. Epub 2024 Jun 22.
Type 1 diabetes (T1D) is a complex multi-system disease which arises from both environmental and genetic factors, resulting in the destruction of insulin-producing pancreatic beta cells. Over the past two decades, human genetic studies have provided new insight into the etiology of T1D, including an appreciation for the role of beta cells in their own demise.
Here, we outline models supported by human genetic data for the role of beta cell dysfunction and death in T1D. We highlight the importance of strong evidence linking T1D genetic associations to bona fide candidate genes for mechanistic and therapeutic consideration. To guide rigorous interpretation of genetic associations, we describe molecular profiling approaches, genomic resources, and disease models that may be used to construct variant-to-gene links and to investigate candidate genes and their role in T1D.
We profile advances in understanding the genetic causes of beta cell dysfunction and death at individual T1D risk loci. We discuss how genetic risk prediction models can be used to address disease heterogeneity. Further, we present areas where investment will be critical for the future use of genetics to address open questions in the development of new treatment and prevention strategies for T1D.
1 型糖尿病(T1D)是一种复杂的多系统疾病,由环境和遗传因素共同导致,导致产生胰岛素的胰腺β细胞遭到破坏。在过去的二十年中,人类遗传研究为 T1D 的病因提供了新的见解,包括对β细胞在自身死亡中的作用的认识。
本文概述了人类遗传数据支持的β细胞功能障碍和死亡在 T1D 中的作用模型。我们强调了将 T1D 遗传关联与真正的候选基因联系起来以进行机制和治疗考虑的重要性。为了指导对遗传关联的严格解释,我们描述了可能用于构建变异到基因联系以及研究候选基因及其在 T1D 中的作用的分子分析方法、基因组资源和疾病模型。
我们分析了在个体 T1D 风险位点上理解β细胞功能障碍和死亡的遗传原因方面的进展。我们讨论了如何使用遗传风险预测模型来解决疾病异质性问题。此外,我们提出了需要投资的领域,以便将来利用遗传学来解决 T1D 新治疗和预防策略发展中的开放性问题。