Tobias Moll, Calum Harvey, Elham Alhathli, Sarah Gornall, David O'Brien, Johnathan Cooper-Knock
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引用次数: 0
Abstract
The majority of amyotrophic lateral sclerosis (ALS) is caused by a complex gene-environment interaction. Despite high estimates of heritability, the genetic basis of disease in the majority of ALS patients are unknown. This limits the development of targeted genetic therapies which require an understanding of patient-specific genetic drivers. There is good evidence that the majority of these missing genetic risk factors are likely to be found within the non-coding genome. However, a major challenge in the discovery of non-coding risk variants is determining which variants are functional in which specific CNS cell type. We summarise current discoveries of ALS-associated genetic drivers within the non-coding genome and we make the case that improved cell-specific annotation of genomic function is required to advance this field, particularly via single-cell epigenetic profiling and spatial transcriptomics. We highlight the example of TBK1 where an apparent paradox exists between pathogenic coding variants which cause loss of protein function, and protective non-coding variants which cause reduced gene expression; the paradox is resolved when it is understood that the non-coding variants are acting primarily via change in gene expression within microglia, and the effect of coding variants is most prominent in neurons. We propose that cell-specific functional annotation of ALS-associated genetic variants will accelerate discovery of the genetic architecture underpinning disease in the vast majority of patients.
大多数肌萎缩性脊髓侧索硬化症(ALS)是由复杂的基因-环境相互作用引起的。尽管遗传率估计很高,但大多数 ALS 患者的遗传基础尚不清楚。这就限制了靶向基因疗法的开发,而靶向基因疗法需要了解患者的特定基因驱动因素。有充分证据表明,这些缺失的遗传风险因素大部分可能存在于非编码基因组中。然而,发现非编码风险变异的一个主要挑战是确定哪些变异在哪种特定的中枢神经系统细胞类型中具有功能。我们总结了目前在非编码基因组中发现的 ALS 相关遗传驱动因素,并提出需要改进细胞特异性基因组功能注释以推进这一领域的发展,特别是通过单细胞表观遗传学分析和空间转录组学。我们以 TBK1 为例,指出致病编码变异会导致蛋白质功能丧失,而保护性非编码变异会导致基因表达减少,两者之间存在明显的悖论;当了解到非编码变异主要通过改变小胶质细胞内的基因表达发挥作用,而编码变异在神经元中的影响最为突出时,悖论就迎刃而解了。我们建议,对 ALS 相关基因变异的细胞特异性功能注释将加速发现绝大多数患者疾病的基因结构。