Gain- and Loss-of-Function Alleles Are Associated with COVID-19 Clinical Outcomes
Overview
Biophysics
Cell Biology
Molecular Biology
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Affiliations
Carriers of single pathogenic variants of the (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 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, 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 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, genetic analysis is an important tool in identifying patients at risk of severe COVID-19.
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Lorenz C, Frankenberger R Viruses. 2025; 17(2).
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Caohuy H, Eidelman O, Chen T, Mungunsukh O, Yang Q, Walton N Sci Rep. 2024; 14(1):16895.
PMID: 39043712 PMC: 11266487. DOI: 10.1038/s41598-024-66473-4.
Advances in the Study of Common and Rare Complex Alleles Using Intestinal Organoids.
Krasnova M, Efremova A, Mokrousova D, Bukharova T, Kashirskaya N, Kutsev S J Pers Med. 2024; 14(2).
PMID: 38392563 PMC: 10890655. DOI: 10.3390/jpm14020129.
Krasnova M, Efremova A, Bukhonin A, Zhekaite E, Bukharova T, Melyanovskaya Y Int J Mol Sci. 2024; 25(1).
PMID: 38203285 PMC: 10779438. DOI: 10.3390/ijms25010114.
COVID-19 annual update: a narrative review.
Biancolella M, Colona V, Luzzatto L, Watt J, Mattiuz G, Conticello S Hum Genomics. 2023; 17(1):68.
PMID: 37488607 PMC: 10367267. DOI: 10.1186/s40246-023-00515-2.