Center for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland.
Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Genome Med. 2023 Oct 12;15(1):78. doi: 10.1186/s13073-023-01232-0.
Genetic suppression occurs when the deleterious effects of a primary "query" mutation, such as a disease-causing mutation, are rescued by a suppressor mutation elsewhere in the genome.
To capture existing knowledge on suppression relationships between human genes, we examined 2,400 published papers for potential interactions identified through either genetic modification of cultured human cells or through association studies in patients.
The resulting network encompassed 476 unique suppression interactions covering a wide spectrum of diseases and biological functions. The interactions frequently linked genes that operate in the same biological process. Suppressors were strongly enriched for genes with a role in stress response or signaling, suggesting that deleterious mutations can often be buffered by modulating signaling cascades or immune responses. Suppressor mutations tended to be deleterious when they occurred in absence of the query mutation, in apparent contrast with their protective role in the presence of the query. We formulated and quantified mechanisms of genetic suppression that could explain 71% of interactions and provided mechanistic insight into disease pathology. Finally, we used these observations to predict suppressor genes in the human genome.
The global suppression network allowed us to define principles of genetic suppression that were conserved across diseases, model systems, and species. The emerging frequency of suppression interactions among human genes and range of underlying mechanisms, together with the prevalence of suppression in model organisms, suggest that compensatory mutations may exist for most genetic diseases.
当基因组中其他位置的抑制突变减轻了主要“查询”突变(如致病突变)的有害影响时,就会发生遗传抑制。
为了捕获人类基因之间抑制关系的现有知识,我们检查了 2400 篇已发表的论文,以发现通过培养的人类细胞的遗传修饰或患者中的关联研究确定的潜在相互作用。
由此产生的网络包含 476 个独特的抑制相互作用,涵盖了广泛的疾病和生物学功能。这些相互作用经常将在同一生物过程中起作用的基因联系起来。抑制因子强烈富集了在应激反应或信号转导中起作用的基因,这表明有害突变通常可以通过调节信号级联或免疫反应来缓冲。在没有查询突变的情况下,抑制突变往往是有害的,这与它们在存在查询突变时的保护作用明显相反。我们提出并量化了遗传抑制的机制,可以解释 71%的相互作用,并为疾病病理学提供了机制上的见解。最后,我们利用这些观察结果来预测人类基因组中的抑制基因。
全球抑制网络使我们能够定义在疾病、模型系统和物种中都保守的遗传抑制原则。人类基因之间抑制相互作用的出现频率以及潜在的机制范围,加上模型生物中抑制的普遍性,表明大多数遗传疾病可能存在补偿性突变。