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A surprising link between severe COVID-19 and other diseases – new study finds

What makes COVID more dangerous? a surprising link was found between severe COVID-19 and other diseases

New study reveals a link between severe COVID-19 and other diseases
New study reveals a link between severe COVID-19 and other diseases

Why do some patients with COVID-19 who have diabetes or ischemic heart disease experience the condition more severely than others?

Scientists from the United States and Australia looked at the genetic data of 650,000 US veterans to see if there were any links between severe COVID-19 and other disorders.  In addition to venous embolism and thrombosis and type 2 diabetes and ischemic heart disease, which are known risk factors for COVID-19, substantial associations were discovered for variants associated with these conditions.

A new analysis of data from the Veterans Affairs Million Veteran Program has identified genetic associations between the severity of COVID-19 and various medical problems that are known risk factors for severe COVID-19. The findings were published in the open-access journal PLOS Genetics today.

Some people with COVID-19 experience the disease more severely than others. Previous research has identified certain variants in specific human genes that are associated with a person experiencing more severe COVID-19. Some of these variants may also be associated with other medical conditions that may already be well understood; identifying these shared variants could improve understanding of COVID-19 and illuminate potential new paths for treatment.

To identify shared variants, Verma and colleagues used an unprecedented dataset of genotypic information linked to electronic health record data (EHR) for more than 650,000 U.S. veterans. They conducted a type of analysis known as a phenome-wide association study (PheWAS) to examine links between variants often found in Veterans who experienced severe COVID-19 and variants associated with a broad selection of medical conditions.

The analysis revealed that certain variants associated with COVID-19 are also associated with known risk factors for COVID-19. Particularly strong links were found for variants associated with venous embolism and thrombosis, as well as type 2 diabetes and ischemic heart disease—two known COVID-19 risk factors.

The analysis also found genetic links between severe COVID-19 and neutropenia for Veterans of African and Hispanic ancestry; these links did not appear for those of European ancestry.

Among respiratory conditions, idiopathic pulmonary fibrosis and chronic alveolar lung disease shared genetic links with severe COVID-19, but other respiratory infections and chronic obstructive pulmonary disease (COPD) did not. Some variants associated with severe COVID-19 were also associated with reduced risk of autoimmune conditions, such as psoriasis and lupus. These findings highlight the need to carefully weigh various aspects of the immune system when developing new treatments.

Despite some limitations of the PheWAS method, these findings could help deepen understanding of COVID-19 and guide the development of new treatments.

Verma concludes, “The study demonstrates the value and impact of large biobanks linking genetic variations with EHR data in public health response to the current and future pandemics. MVP is one of the most diverse cohorts in the US. We had a unique opportunity to scan thousands of conditions documented before the COVID-19 pandemic. We gained insights into the genetic architecture of COVID-19 risk factors and disease complication.”

“One thing that stood out to us was the high number of immune-mediated conditions that shared genetic architecture with severe manifestations of COVID-19,” coauthor Katherine Liao adds. “The nature of the associations brought to light how the SARS-CoV2 virus pushes on a pressure point in the human immune system and its constant balancing act of fighting infection while maintaining enough control so that it does not also become an autoimmune process, attacking self.” 

Image Credit: Getty

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