Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes
- Cells. 2022 Dec 16;11(24):4096. doi: 10.3390/cells11244096.
- 1. Medical Genetics, University of Siena, 53100 Siena, Italy.
- 2. Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.
- 3. UOC Genetica Medica, IRCCS Istituto Giannina Gaslini, 16148 Genova, Italy.
- 4. Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, 16126 Genoa, Italy.
- 5. Genetica Medica, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy.
- 6. Department of Mathematics, University of Pavia, 27100 Pavia, Italy.
- 7. University of Siena, DIISM-SAILAB, 53100 Siena, Italy.
- 8. Department of Biosciences and Nutrition, Karolinska Institutet, 17177 Stockholm, Sweden.
Carriers of single pathogenic variants of the CFTR (cystic fibrosis transmembrane conductance regulator) gene have a higher risk of severe COVID-19 and 14-day death. The machine learning post-Mendelian model pinpointed CFTR as a bidirectional modulator of COVID-19 outcomes. Here, we demonstrate that the rare complex allele [G576V;R668C] is associated with a milder disease via a gain-of-function mechanism. Conversely, CFTR ultra-rare alleles with reduced function are associated with disease severity either alone (dominant disorder) or with another hypomorphic allele in the second chromosome (recessive disorder) with a global residual CFTR activity between 50 to 91%. Furthermore, we characterized novel CFTR complex alleles, including [A238V;F508del], [R74W;D1270N;V201M], [I1027T;F508del], [I506V;D1168G], and simple alleles, including R347C, F1052V, Y625N, I328V, K68E, A309D, A252T, G542*, V562I, R1066H, I506V, I807M, which lead to a reduced CFTR function and thus, to more severe COVID-19. In conclusion, CFTR genetic analysis is an important tool in identifying patients at risk of severe COVID-19.
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Cat. No.Product NameDescriptionTargetResearch Area
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Research Areas: Inflammation/Immunology