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How Precision Medicine Can Unravel How We Treat COVID

By Colin Allen and David Feingold, The Conversation

Tom Hanks and his wife, Rita Wilson, were among the earliest celebrities to catch the novel coronavirus. In an interview at the beginning of July, Hanks described how differently COVID-19 had affected each of them in March.

“My wife lost her sense of taste and smell, she had severe nausea, she had a much higher fever than I did. I just had crippling body aches,” he said. “I was very fatigued all the time and I couldn’t concentrate on anything for more than about 12 minutes.”

Why does COVID-19 present such different symptoms—or none at all—in different people?

Pre-existing conditions can only be part of the story. Hanks is over 60 and is a Type 2 diabetic, putting him in a high-risk group. Nevertheless, he survived his brush with the virus with no pneumonia and apparently without any long-lasting effects. Knowing what causes variation in different patients could help physicians tailor their treatments to individual patients—an approach known as precision medicine.

In recent years, a gene-centric approach to precision medicine has been promoted as the future of medicine. It underlies the massive effort funded by the U.S. National Institutes of Health to collect over a million DNA samples under the “All of Us” initiative that began in 2015.

But the imagined future did not include COVID-19. In the rush to find a COVID-19 vaccine and effective therapies, precision medicine has been insignificant. Why is this? And what are its potential contributions?

We are a physician geneticist and a philosopher of science who began a discussion about the promise and potential pitfalls of precision medicine before the arrival of COVID-19. If precision medicine is the future of medicine, then its application to pandemics generally, and COVID-19 in particular, may yet prove to be highly significant. But its role so far has been limited. Precision medicine must consider more than just genetics. It requires an integrative “omic” approach that must collect information from multiple sources—beyond just genes—and at scales ranging from molecules to society.

Inherited diseases such as sickle cell anemia and Tay-Sachs disease follow a predictable pattern. But such direct genetic causes are perhaps the exception rather than the rule when it comes to health outcomes. Some heritable conditions—for instance, psoriasis or the many forms of cancer—depend on complex combinations of genes, environmental and social factors whose individual contributions to the disease are difficult to isolate. At best, the presence of certain genes constitutes a risk factor in a population but does not fully determine the outcome for an individual person carrying those genes.

The situation becomes yet more complicated for infectious diseases.

Viruses and bacteria have their own genomes that interact in complex ways with the cells in the people they infect. The genome of SARS-CoV-2 underlying COVID-19 has been extensively sequenced. Its mutations are identified and traced worldwide, helping epidemiologists understand the spread of the virus. However, the interactions between SARS-CoV-2 RNA and human DNA, and the effect on people of