Rxivist logo

A Chinese host genetic study discovered type I interferons and causality of cholesterol levels and WBC counts on COVID-19 severity

By Huanhuan Zhu, Fang Zheng, Linxuan Li, Yan Jin, Yuxue Luo, Zhen Li, Jingyu Zeng, Ling Tang, Zilong Li, Ningyu Xia, Panhong Liu, Dan Han, Ying Shan, Xiaoying Zhu, Siyang Liu, Rong Xie, Yilin Chen, Wen Liu, Longqi Liu, Xun Xu, Jian Wang, Huanming Yang, Xia Shen, Xin Jin, Fanjun Cheng

Posted 09 Jun 2021
medRxiv DOI: 10.1101/2021.06.04.21258335

As of early May 2021, the ongoing pandemic COVID-19 has caused over 160 million of infections and over 3 million deaths worldwide. Many risk factors, such as age, gender, and comorbidities, have been studied to explain the variable symptoms of infected patients. However, these effects may not fully account for the diversity in disease severity. Here, we present a comprehensive analysis of a broad range of patients laboratory and clinical assessments to investigate the genetic contributions to COVID-19 severity. By performing GWAS analysis, we discovered several concrete associations for laboratory features. Based on these findings, we performed Mendelian randomization (MR) analysis to investigate the causality of laboratory traits on disease severity. From the MR study, we identified two causal traits, cholesterol levels and WBC counts. The functional gene related to cholesterol levels is ApoE and people with particular ApoE genotype are more likely to have higher cholesterol levels, facilitating the process that SARS-CoV-2 binds on its receptor ACE2 and aggravating COVID-19 disease. The functional gene related to WBC counts is MHC system that plays a central role in the immune system. The host immune response to the SARS-CoV-2 infection greatly affects the patients severity status and clinical outcome. Additionally, our gene-based and GSEA analysis revealed interferon pathways, including type I interferon receptor binding, regulation of IFNA signaling, and SARS coronavirus and innate immunity. We hope that our work will make a contribution in studying the genetic mechanisms of disease illness and serve as useful reference for the clinical diagnosis and treatment of COVID-19.

Download data

  • Downloaded 261 times
  • Download rankings, all-time:
    • Site-wide: 116,234
    • In genetic and genomic medicine: 624
  • Year to date:
    • Site-wide: 30,759
  • Since beginning of last month:
    • Site-wide: 46,097

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide