Unknown

Dataset Information

0

Gain- and Loss-of-Function CFTR Alleles Are Associated with COVID-19 Clinical Outcomes.


ABSTRACT: 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.

SUBMITTER: Baldassarri M 

PROVIDER: S-EPMC9776607 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications


Carriers of single pathogenic variants of the <i>CFTR</i> (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 <i>CFTR</i> 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, <i>CFTR</i> ultra-rare alleles with reduced function are associat  ...[more]

Similar Datasets

2014-07-31 | E-GEOD-56326 | biostudies-arrayexpress
2014-07-31 | GSE56326 | GEO
2021-10-01 | GSE178967 | GEO
| S-EPMC11460476 | biostudies-literature
2020-12-19 | GSE162835 | GEO
| S-EPMC10590409 | biostudies-literature
| S-EPMC5774088 | biostudies-literature
| S-EPMC8960113 | biostudies-literature
| S-EPMC10494266 | biostudies-literature
| S-EPMC5589474 | biostudies-literature