Evidence map›Paper›PMID 40328884›Full record

ArticleScientific reports2025

Genome-wide association study of post COVID-19 syndrome in a population-based cohort in Germany.

Anne-Kathrin Ruß, Stefan Schreiber, Wolfgang Lieb, J Janne Vehreschild, Peter U Heuschmann, Thomas Illig, Katharina S Appel, Maria J G T Vehreschild, Dagmar Krefting, Lennart Reinke and 15 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

25 authors.

Anne-Kathrin RußInstitute of Medical Informatics and Statistics, University Medical Center Schleswig-Holstein, Kiel University, Brunswiker Straße 10, 24113, Kiel, Germany.
Stefan SchreiberDepartment of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany.
Wolfgang LiebInstitute of Epidemiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany.
J Janne VehreschildInstitute of Digital Medicine and Clinical Data Science, Faculty of Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Peter U HeuschmannInstitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.
Thomas IlligHannover Unified Biobank, Hannover Medical School, Hannover, Germany.
Katharina S AppelInstitute of Digital Medicine and Clinical Data Science, Faculty of Medicine, Goethe University Frankfurt, Frankfurt, Germany.
Maria J G T VehreschildMedical Department 2, Center for Internal Medicine, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany.
Dagmar KreftingDepartment of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.
Lennart ReinkeDepartment of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany.
Alin ViebkeDepartment of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany.
Susanne PoickInstitute of Epidemiology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany.
Stefan StörkDepartment of Clinical Research and Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany.
Jens-Peter ReeseInstitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.
Thomas ZollerDepartment of Infectious Diseases, Respiratory and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Lilian KristInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
David EllinghausInstitute of Clinical Molecular Biology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany.
Bärbel U FoeselInstitute of Epidemiology, Research Unit of Molecular Epidemiology, Helmholtz Munich - German Research Center for Environmental Health, Neuherberg, Germany.
Christian GiegerInstitute of Epidemiology, Research Unit of Molecular Epidemiology, Helmholtz Munich - German Research Center for Environmental Health, Neuherberg, Germany.
Bettina Lorenz-DepiereuxInstitute of Epidemiology, Research Unit of Molecular Epidemiology, Helmholtz Munich - German Research Center for Environmental Health, Neuherberg, Germany.
Martin WitzenrathDepartment of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Gabriele AntonMedical School OWL, Bielefeld University, Bielefeld, Germany.
Michael Krawczak *Institute of Medical Informatics and Statistics, University Medical Center Schleswig-Holstein, Kiel University, Brunswiker Straße 10, 24113, Kiel, Germany. krawczak@medinfo.uni-kiel.de.
Jan Heyckendorf *Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany.
Thomas Bahmer *Department of Internal Medicine I, University Medical Center Schleswig-Holstein, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

If health impairments due to coronavirus disease 2019 (COVID-19) persist for 12 weeks or longer, patients are diagnosed with Post-COVID Syndrome (PCS), or Long-COVID. Although the COVID-19 pandemic has largely subsided in 2024, PCS is still a major health burden worldwide, and identifying potential genetic modifiers of PCS remains of great clinical and scientific interest. We therefore performed a case-control type genome-wide association study (GWAS) of three recently developed PCS (severity) scores in 2,247 participants of COVIDOM, a prospective, multi-centre, population-based cohort study of SARS-CoV-2-infected individuals in Germany. Each PCS score originally represented the weighted sum of the binary indicators of all, or a subset, of 12 PCS symptom complexes, assessed six months or later after the PCR test-confirmed SARS-CoV-2 infection of a participant. For various methodical reasons, however, the PCS scores were dichotomized along their respective median values in the present study, prior to the GWAS. Of the 6,383,167 single nucleotide polymorphisms included, various variants were found to be associated with at least one of the PCS scores, although not at the stringent genome-wide statistical significance level of 5 × 10

Indexed as

COVID-19Genome-Wide Association StudyPost-Acute COVID-19 SyndromeAdultAgedCase-Control StudiesCohort StudiesFemaleGenetic Predisposition to DiseaseGermanyHumansMaleMiddle AgedPolymorphism, Single NucleotideProspective StudiesGenotype-phenotype associationLinkage disequilibriumLong-COVIDMacrophage activationOlfactory receptorSARS-CoV-2Single nucleotide polymorphismVirus repression

Identifiers

PMID40328884
PMCPMC12056214

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Registered trials

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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 OpenQuestion graph.