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Record W4410552483 · doi:10.1038/s41588-025-02100-w

Genome-wide association study of long COVID

2025· article· en· W4410552483 on OpenAlexafffund
Vilma Lammi, Tomoko Nakanishi, Samuel E. Jones, Shea J. Andrews, Juha Karjalainen, Beatriz Cortés, Heath O’Brien, Ana Ochoa-Guzmán, Brian Fulton‐Howard, Martin Broberg, Hele Haapaniemi, Masahiro Kanai, Matti Pirinen, Axel Schmidt, Ruth E. Mitchell, Abdou Mousas, Massimo Mangino, Alicia Huerta‐Chagoya, Nasa Sinnott-Armstrong, Elizabeth T. Cirulli, Marc Vaudel, Alex S. F. Kwong, Amit K. Maiti, M. Marttila, Daniel Posner, Alexis Rodriguez, Chiara Batini, Francesca Minnai, Anna Dearman, Robert Warmerdam, Celia Burgos Sequeros, Thomas W. Winkler, Daniel M. Jordan, Raimonds Reščenko, Lorenzo Miano, Jacqueline M. Lane, Ryan Chung, Beatriz Guillén‐Guío, Olivia C. Leavy, Laura Carvajal-Silva, Kevin Aguilar-Valdés, Erika Frangione, Lindsay Guare, Ekaterina Vergasova, Eirini Marouli, Pasquale Striano, Ummu Afeera Zainulabid, Ashutosh Kumar, Hajar Fauzan Ahmad, Ryuya Edahiro, Shuhei Azekawa, Shiuh‐Wen Luoh, Christian Erikstrup, Ole Birger Pedersen, Jordan Lerner‐Ellis, Alicia Colombo, Joseph J. Grzymski, Makoto Ishii, Yukinori Okada, Noam D. Beckmann, Meena Kumari, Ralf Wagner, Iris M. Heid, Catherine John, Patrick Short, Per Magnus, Laura Ansone, Luca Valenti, Sulggi A. Lee, Louise V. Wain, Ricardo A. Verdugo, Karina Banasik, Frank Geller, Lude Franke, Alexander Rakitko, Emma L. Duncan, Alessandra Renieri, Konstantinos K. Tsilidis, Ahmadreza Niavarani, Erik Abner, Teresa Tusié‐Luna, Shefali S. Verma, George Davey Smith, Nicholas J. Timpson, Ravi Madduri, Mark J Daly, Andrea Ganna, Eva C. Schulte, J. Brent Richards, Kerstin U. Ludwig, Michael Hultström, Hugo Zeberg, Hanna M. Ollila

Bibliographic record

VenueNature Genetics · 2025
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsSimon Fraser UniversityMcGill University Health CentreInstitut universitaire de cardiologie et de pneumologie de QuébecMcGill Genome CentreLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalCentre Hospitalier de l’Université de MontréalMcGill UniversityUniversity of TorontoJewish General Hospital
FundersNational Institute of Allergy and Infectious DiseasesNational Institute on AgingInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de MéxicoMedizinische Fakultät, Rheinische Friedrich-Wilhelms-Universität BonnSchool of Public Health, Imperial College LondonRIKENDepartment of Epidemiology, Biostatistics and Occupational Health, McGill UniversityKnight Cancer Institute, Oregon Health and Science UniversityStanley Center for Psychiatric Research, Broad InstituteUniversity of California, San FranciscoTehran University of Medical Sciences and Health ServicesNational Institutes of HealthUniversity of IoanninaUniversitair Medisch Centrum GroningenRheinische Friedrich-Wilhelms-Universität BonnUniversidad de ChileRijksuniversiteit GroningenUniversidad Nacional Autónoma de MéxicoTechnische Universität MünchenUniversität RegensburgImperial College LondonUniversity of TorontoUniversiti Malaysia PahangUniversidad de TalcaUniversitätsklinikum RegensburgSjællands UniversitetshospitalJapan Society for the Promotion of ScienceUniversitetet i BergenJewish General HospitalUniversity of BristolUniversity Hospitals of Leicester NHS TrustInternational Islamic University MalaysiaMax-Planck-GesellschaftKing's College LondonFaculty of Health and Medical Sciences, University of Western AustraliaUniversity of LeicesterNorwegian Institute of Public HealthHelsingin ja Uudenmaan SairaanhoitopiiriUniversity of WashingtonUniversità degli Studi di MilanoUniversity of Pennsylvania Health SystemBarts and The London School of Medicine and DentistryUniversity of EssexWellcome TrustNovo NordiskNIHR Leicester Biomedical Research CentreUniversity of PennsylvaniaKeio UniversityNational Institute for Health and Care ResearchHelsinki Institute of Life Science, Helsingin YliopistoAarhus UniversitetshospitalDet Sundhedsvidenskabelige Fakultet, Københavns UniversitetQueen Mary University of LondonNational Center for Advancing Translational SciencesFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoUnderstanding SocietyHelsingin YliopistoMcGill UniversityBrigham and Women's HospitalArgonne National LaboratoryMedical Research CouncilTartu ÜlikoolUniversità degli Studi di SienaMassachusetts General HospitalBroad InstituteAarhus Universitet
KeywordsBiologyGenome-wide association studyShinglesCoronavirus disease 2019 (COVID-19)PopulationDiseaseImmunologyCoronavirusRhinovirusMedicineSingle-nucleotide polymorphismGeneticsVirusInfectious disease (medical specialty)PathologyGenotypeGene

Abstract

fetched live from OpenAlex

Infections can lead to persistent symptoms and diseases such as shingles after varicella zoster or rheumatic fever after streptococcal infections. Similarly, severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection can result in long coronavirus disease (COVID), typically manifesting as fatigue, pulmonary symptoms and cognitive dysfunction. The biological mechanisms behind long COVID remain unclear. We performed a genome-wide association study for long COVID including up to 6,450 long COVID cases and 1,093,995 population controls from 24 studies across 16 countries. We discovered an association of FOXP4 with long COVID, independent of its previously identified association with severe COVID-19. The signal was replicated in 9,500 long COVID cases and 798,835 population controls. Given the transcription factor FOXP4's role in lung physiology and pathology, our findings highlight the importance of lung function in the pathophysiology of long COVID.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.308
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2025
Admission routes2
Has abstractyes

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