Proteomic profiling identifies novel proteins for genetic risk of severe COVID-19: the Atherosclerosis Risk in Communities Study

Author:

Steffen Brian T1ORCID,Pankow James S1,Lutsey Pamela L1,Demmer Ryan T12,Misialek Jeffrey R1,Guan Weihua3,Cowan Logan T4,Coresh Josef5,Norby Faye L16,Tang Weihong1

Affiliation:

1. Division of Epidemiology and Community Health , University of Minnesota, Minneapolis, MN 55455 , USA

2. Department of Epidemiology , Mailman School of Public Health, Columbia University, New York, NY 10032 , USA

3. Division of Biostatistics , University of Minnesota School of Public Health, Minneapolis, MN 55455 , USA

4. Department of Biostatistics , Epidemiology, and Environmental Health Sciences, Jiann Ping-Hsu College of Public Health, Statesboro, GA 30458 , USA

5. Department of Epidemiology , Johns Hopkins Bloomberg School of Public Health, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD 21218 , USA

6. Department of Cardiology , Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles 90048, CA

Abstract

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.

Funder

National Heart, Lung, and Blood Institute

National Institutes of Health

National Human Genome Research Institute

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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