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Genome Med . Identification and functional characterization of regulatory variants in DPP9 associated with COVID-19 severity

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  • Genome Med . Identification and functional characterization of regulatory variants in DPP9 associated with COVID-19 severity

    Genome Med


    . 2026 Jul 2.
    doi: 10.1186/s13073-026-01703-0. Online ahead of print.
    Identification and functional characterization of regulatory variants in DPP9 associated with COVID-19 severity

    Gaëlle Farah 1 2 , Magali Torres 1 2 , Leo Henches 3 , Hugues Aschard 3 4 , Jade Ghosn 5 6 , Xavier Duval 5 7 ; Milieu Intérieur Consortium; French COVID Cohort Study Group; Pascal Rihet 1 , Salvatore Spicuglia 8 9 , Sandrine Marquet 10 11


    Collaborators, AffiliationsFree article Abstract

    Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection leads to a wide-range of clinical outcomes, which have been extensively studied through genome-wide association studies (GWAS).
    Methods: Starting from lead genetic variants associated with COVID-19 infection and severity, we identified a subset of non-coding candidate variants with potential regulatory functions. We combined bioinformatics analysis and functional screening in three cell lines to provide evidence for regulatory activity. We then performed a genetic study to test the association of our selected candidates with disease susceptibility followed by the functional validation of the risk haplotype.
    Results: We prioritized two DPP9 variants within a haplotype that increases the risk of severe COVID-19. This haplotype exhibited increased regulatory activity and altered transcription factor binding, suggesting its role in influencing COVID-19 severity by modulating DPP9 expression in immune and lung cell types.
    Conclusions: The interest of our study lies in the functional characterization of regulatory variants responsible for increased levels of DPP9 and lung damage observed in patients with severe COVID-19. These findings advance our understanding of genetic risk factors for COVID-19 and highlight functional SNPs that may guide future therapeutic research.

    Keywords: DPP9; Bioinformatics priorization; COVID-19; Functional validation; Genetic association; Haplotype; Regulatory variants; Severe disease; Transcription factors.

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