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A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program. | LitMetric

AI Article Synopsis

Article Abstract

The study aims to determine the shared genetic architecture between COVID-19 severity with existing medical conditions using electronic health record (EHR) data. We conducted a Phenome-Wide Association Study (PheWAS) of genetic variants associated with critical illness (n=35) or hospitalization (n=42) due to severe COVID-19 using genome-wide association summary from the Host Genetics Initiative. PheWAS analysis was performed using genotype-phenotype data from the Veterans Affairs Million Veteran Program (MVP). Phenotypes were defined by International Classification of Diseases (ICD) codes mapped to clinically relevant groups using published PheWAS methods. Among 658,582 Veterans, variants associated with severe COVID-19 were tested for association across 1,559 phenotypes. Variants at the locus (rs495828, rs505922) associated with the largest number of phenotypes (n=53 and n=59); strongest association with venous embolism, odds ratio (ORrs495828 1.33 (p=1.32 × 10), and thrombosis OR 1.33, p=2.2 × 10. Among 67 respiratory conditions tested, 11 had significant associations including locus (rs35705950) with increased risk of idiopathic fibrosing alveolitis OR 2.83, p=4.12 × 10; rs61667602) associated with reduced risk of pulmonary fibrosis, OR 0.84, p=2.26 × 10. The locus (rs11085727) associated with reduced risk for autoimmune conditions, e.g., psoriasis OR 0.88, p=6.48 × 10, lupus OR 0.84, p=3.97 × 10. PheWAS stratified by genetic ancestry demonstrated differences in genotype-phenotype associations across ancestry. (rs581342) associated with neutropenia OR 1.29 p=4.1 × 10 among Veterans of African ancestry but not European. Overall, we observed shared genetic architecture between COVID-19 severity and conditions related to underlying risk factors for severe and poor COVID-19 outcomes. Differing associations between genotype-phenotype across ancestries may inform heterogenous outcomes observed with COVID-19. Divergent associations between risk for severe COVID-19 with autoimmune inflammatory conditions both respiratory and non-respiratory highlights the shared pathways and fine balance of immune host response and autoimmunity and caution required when considering treatment targets.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8509103PMC
http://dx.doi.org/10.1101/2021.05.18.21257396DOI Listing

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