Skip to main content
Article
Proteomic profiling identifies novel proteins for genetic risk of severe COVID-19: the Atherosclerosis Risk in Communities Study
Human Molecular Genetics
  • Brian T. Steffen, University of Minnesota
  • James S. Pankow, University of Minnesota
  • Pamela L. Lutsey, University of Minnesota - Twin Cities
  • Ryan T. Demmer, University of Minnesota
  • Jeffrey R. Misialek, University of Minnesota
  • Weihua Guan, University of Minnesota
  • Logan Cowan, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Josef Coresh, Johns Hopkins Bloomberg School of Public Health
  • Faye L. Norby, Smidt Heart Institute, Cedars-Sinai Health System
  • Weihong Tang, University of Minnesota
Document Type
Article
Publication Date
2-25-2022
DOI
10.1093/hmg/ddac024
Disciplines
Abstract

Background: Genome-wide association studies have identified six genetic variants associated with severe COVID-19, yet the mechanisms through which they may affect disease remains unclear. We investigated proteomic signatures related to COVID-19 risk variants rs657152 (ABO), rs10735079 (OAS1/OAS2/OAS3), rs2109069 (DPP9), rs74956615 (TYK2), rs2236757 (IFNAR2) and rs11385942 (SLC6A20/LZTFL1/CCR9/FYCO1/CXCR6/XCR1) as well as their corresponding downstream pathways that may promote severe COVID-19 in risk allele carriers and their potential relevancies to other infection outcomes.

Methods: A DNA aptamer-based array measured 4870 plasma proteins among 11 471 participants. Linear regression estimated associations between the COVID-19 risk variants and proteins with correction for multiple comparisons, and canonical pathway analysis was conducted. Cox regression assessed associations between proteins identified in the main analysis and risk of incident hospitalized respiratory infections (2570 events) over a 20.7- year follow-up.

Results: The ABO variant rs657152 was associated with 84 proteins in 7241 white participants with 24 replicated in 1671 Black participants. The TYK2 variant rs74956615 was associated with ICAM-1 and -5 in white participants with ICAM-5 replicated in Black participants. Of the 84 proteins identified in the main analysis, seven were significantly associated with incident hospitalized respiratory infections including Ephrin type-A receptor 4 (hazard ratio (HR): 0.87; P = 2.3 × 10−11) and von Willebrand factor type A (HR: 1.17; P = 1.6x10−13).

Conclusions: Novel proteomics signatures and pathways for COVID-19-related risk variants TYK2 and ABO were identified. A subset of these proteins predicted greater risk of incident hospitalized pneumonia and respiratory infections. Further studies to examine these proteins in COVID-19 patients are warranted.

Comments

Georgia Southern University faculty member, Logan Cowan co-authored Proteomic profiling identifies novel proteins for genetic risk of severe COVID-19: the Atherosclerosis Risk in Communities Study.

Copyright

© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Creative Commons License
**Select License for Reuse**
Citation Information
Brian T. Steffen, James S. Pankow, Pamela L. Lutsey, Ryan T. Demmer, et al.. "Proteomic profiling identifies novel proteins for genetic risk of severe COVID-19: the Atherosclerosis Risk in Communities Study" Human Molecular Genetics Vol. 31 Iss. 14 (2022) p. 2452 - 2461
Available at: http://works.bepress.com/logan-cowan/34/