Title |
Epigenetics may characterize asymptomatic COVID-19 infection
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Published in |
Human Genomics, July 2022
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DOI | 10.1186/s40246-022-00401-3 |
Pubmed ID | |
Authors |
Cosby G. Arnold, Iain Konigsberg, Jason Y. Adams, Sunita Sharma, Neil Aggarwal, Andrew Hopkinson, Alexis Vest, Monica Campbell, Meher Boorgula, Ivana Yang, Christopher Gignoux, Kathleen C. Barnes, Andrew A. Monte |
Abstract |
RT-PCR is the foremost clinical test for diagnosis of COVID-19. Unfortunately, PCR-based testing has limitations and may not result in a positive test early in the course of infection before symptoms develop. Enveloped RNA viruses, such as coronaviruses, alter peripheral blood methylation and DNA methylation signatures may characterize asymptomatic versus symptomatic infection. We used Illumina's Infinium MethylationEPIC BeadChip array to profile peripheral blood samples from 164 patients who tested positive for SARS-CoV-2 by RT-PCR, of whom 8 had no symptoms. Epigenome-wide association analysis identified 10 methylation sites associated with infection and a quantile-quantile plot showed little inflation. These preliminary results suggest that differences in methylation patterns may distinguish asymptomatic from symptomatic infection. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 23% |
Canada | 4 | 13% |
India | 1 | 3% |
United Kingdom | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 17 | 55% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 31 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Librarian | 1 | 9% |
Student > Master | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Arts and Humanities | 1 | 9% |
Computer Science | 1 | 9% |
Nursing and Health Professions | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |