The first genome-wide search for long-COVID risk factors could pave the way for larger studies
The long-COVID study is a spin-off from that effort, says Hugo Zeberg, a geneticist at the Karolinska Institute in Stockholm and a lead author on the preprint. To study the condition, the team compiled data from 24 studies involving a total of nearly 6,500 people diagnosed with long COVID, as well as more than a million other participants who served as controls.
In one analysis that combined data from 11 of those studies, researchers found a particular region of the genome that was associated with about 1.6-fold higher odds of developing long COVID. That segment of DNA is near a gene called, which is active in the lungs and other organs.
Replicating that finding in other data sets would help to strengthen the study’s conclusions, says Zhongshan Cheng, a bioinformatician at St. Jude Children’s Research Hospital in Memphis, Tennessee. Much of the data used in the long-COVID analysis was also used in the analysis that found a link betweenand severe COVID-19, he notes.
“It won’t just be a single answer, there will be a whole variety of people’s vulnerabilities contributing to why they haven’t recovered from COVID,” says Ponting. He and his colleagues proposed a study that would have included DNA from 15,000 people with long COVID. But grant reviewers rejected the proposal, he says, because they thought the condition too complex to be dissected in the way Ponting's team suggested.
“I disagree,” he says. “It is very complicated, but also very important to pick apart. The health and socio-economic costs of long COVID are enormous.”
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