Higher mortality of COVID19 patients with comorbidity is the formidable challenge faced by the health care system. In response to the present crisis, understanding the molecular basis of comorbidity is essential to accelerate the development of potential drugs. To address this, we have measured the genetic association between COVID19 and various lung disorders and observed a remarkable resemblance. 141 lung disorders directly or indirectly linked to COVID19 result in a high-density disease-disease association network that shows a small-world property. The clustering of many lung diseases with COVID19 demonstrates a greater complexity and severity of SARS-CoV-2 infection. Furthermore, our results show that the functional protein-protein interaction modules involved RNA and protein metabolism, substantially hijacked by SARS-CoV-2, are connected to several lung disorders. Therefore we recommend targeting the components of these modules to inhibit the viral growth and improve the clinical conditions in comorbidity.

中文翻译：

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肺部疾病网络揭示了合并症对SARS-CoV-2感染的影响

COVID19合并症患者的更高死亡率是卫生保健系统面临的巨大挑战。为了应对当前的危机，了解合并症的分子基础对于加速潜在药物的开发至关重要。为了解决这个问题，我们测量了COVID19与各种肺部疾病之间的遗传关联，并观察到了明显的相似之处。直接或间接与COVID19相关的141种肺部疾病导致了高密度疾病-疾病关联网络，显示了小世界的特征。许多肺部疾病与COVID19的聚集表明SARS-CoV-2感染的复杂性和严重性更高。此外，我们的结果表明，功能性蛋白质-蛋白质相互作用模块涉及RNA和蛋白质代谢，并被SARS-CoV-2严重劫持，与几种肺部疾病有关。因此，我们建议针对这些模块的组件，以抑制病毒生长并改善合并症中的临床状况。