Evidence map›Paper›PMID 42393744›Full record

ArticleGenome medicine2026

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

Gaëlle Farah, Magali Torres, Leo Henches, Hugues Aschard, Jade Ghosn, Xavier Duval, Milieu Intérieur Consortium, French COVID Cohort Study Group, Pascal Rihet, Salvatore Spicuglia and 1 more

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gaëlle FarahAix-Marseille Univ, INSERM, TAGC, UMR1090, MarMaRa Institute, Marseille, France.ORCID http://orcid.org/0000-0001-8023-9481
Magali TorresAix-Marseille Univ, INSERM, TAGC, UMR1090, MarMaRa Institute, Marseille, France.
Leo HenchesDepartment of Computational Biology, Institut Pasteur, Université Paris Cité, 75015, Paris, France.
Hugues AschardDepartment of Computational Biology, Institut Pasteur, Université Paris Cité, 75015, Paris, France.
Jade GhosnUniversité Paris Cité, Infection, Antimicrobials, Modelling, Evolution (IAME), INSERM, UMR1137, 75018, Paris, France.
Xavier DuvalUniversité Paris Cité, Infection, Antimicrobials, Modelling, Evolution (IAME), INSERM, UMR1137, 75018, Paris, France.
Milieu Intérieur Consortium
French COVID Cohort Study Group
Pascal RihetAix-Marseille Univ, INSERM, TAGC, UMR1090, MarMaRa Institute, Marseille, France.
Salvatore SpicugliaAix-Marseille Univ, INSERM, TAGC, UMR1090, MarMaRa Institute, Marseille, France. salvatore.spicuglia@inserm.fr.
Sandrine MarquetAix-Marseille Univ, INSERM, TAGC, UMR1090, MarMaRa Institute, Marseille, France. sandrine.marquet@univ-amu.fr.ORCID https://orcid.org/0000-0001-7011-6496

Funding

Agence Nationale de la Recherche ANR-23-CE12-0008-01
6 · The paper itself

Abstract

backgroundSevere 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).

methodsStarting 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

COVID-19Dipeptidyl-Peptidases and Tripeptidyl-PeptidasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHumansPolymorphism, Single NucleotideSARS-CoV-2Severity of Illness IndexDipeptidyl-Peptidases and Tripeptidyl-PeptidasesDPP9 protein, humanBioinformatics priorizationCOVID-19DPP9Functional validationGenetic associationHaplotypeRegulatory variantsSevere diseaseTranscription factors

Identifiers

PMID42393744
PMCPMC13602522

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.