Translational Metabolic Laboratory (TML 831), Radboudumc, Nijmegen, the Netherlands.
Hepatogenomics Research Group, School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, Australia.
Clin Chem. 2021 Oct 1;67(10):1324-1341. doi: 10.1093/clinchem/hvab130.
Hereditary hemochromatosis (HH) is a genetic disease, leading to iron accumulation and possible organ damage. Patients are usually homozygous for p. Cys282Tyr in the homeostatic iron regulator gene but may have mutations in other genes involved in the regulation of iron. Next-generation sequencing is increasingly being utilized for the diagnosis of patients, leading to the discovery of novel genetic variants. The clinical significance of these variants is often unknown.
Determining the pathogenicity of such variants of unknown significance is important for diagnostics and genetic counseling. Predictions can be made using in silico computational tools and population data, but additional evidence is required for a conclusive pathogenicity classification. Genetic disease models, such as in vitro models using cellular overexpression, induced pluripotent stem cells or organoids, and in vivo models using mice or zebrafish all have their own challenges and opportunities when used to model HH and other iron disorders. Recent developments in gene-editing technologies are transforming the field of genetic disease modeling.
In summary, this review addresses methods and developments regarding the discovery and classification of genetic variants, from in silico tools to in vitro and in vivo models, and presents them in the context of HH. It also explores recent gene-editing developments and how they can be applied to the discussed models of genetic disease.
遗传性血色素沉着症(HH)是一种遗传性疾病,导致铁蓄积和可能的器官损伤。患者通常为同源性 Cys282Tyr 突变的铁稳态调节基因,但也可能存在其他参与铁调节的基因突变。下一代测序技术越来越多地用于患者的诊断,导致新的遗传变异的发现。这些未知意义的变异的临床意义通常是未知的。
确定这些未知意义的变异的致病性对于诊断和遗传咨询很重要。可以使用计算机预测工具和人群数据进行预测,但需要额外的证据来进行明确的致病性分类。遗传疾病模型,如使用细胞过表达、诱导多能干细胞或类器官的体外模型,以及使用小鼠或斑马鱼的体内模型,在用于模拟 HH 和其他铁代谢紊乱时,都有其自身的挑战和机遇。基因编辑技术的最新发展正在改变遗传疾病模型领域。
总之,本综述从计算机预测工具到体外和体内模型,探讨了 HH 背景下遗传变异的发现和分类方法和进展,并探讨了最近的基因编辑发展以及如何将其应用于所讨论的遗传疾病模型。