Evidence map›Paper›PMID 41146089›Full record

ArticleBMC medicine2025

Pre-pandemic disease trajectories and genetic insights into long COVID susceptibility.

Natalia Blay, Xavier Farré, Judith Garcia-Aymerich, Gemma Castaño-Vinyals, Manolis Kogevinas, Rafael de Cid

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Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Natalia BlayGenomes for Life-GCAT Lab, CORE Program, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
Xavier FarréGenomes for Life-GCAT Lab, CORE Program, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
Judith Garcia-AymerichISGlobal, Barcelona, Spain.
Gemma Castaño-VinyalsISGlobal, Barcelona, Spain.
Manolis KogevinasISGlobal, Barcelona, Spain.
Rafael de CidGenomes for Life-GCAT Lab, CORE Program, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain. rdecid@igtp.cat.

Funding

Fundació la Marató de TV3 167/C/2021HORIZON EUROPE Health GA:101046314'la Caixa' Foundation SR20-01024Ministerio de Ciencia e Innovación TED2021-130626B-I00Ministerio de Sanidad, Consumo y Bienestar PI18/01512
6 · The paper itself

Abstract

backgroundLong COVID refers to the persistence of symptoms after SARS-CoV-2 infection. While individual comorbidities have been studied, the role of coexisting chronic conditions remains underexplored. This study investigates whether pre-pandemic disease trajectories-sequential patterns of chronic conditions-modify long COVID risk and symptom profiles and explores shared genetic susceptibility.

methodsWe analysed 8322 adult participants (58.6% women) from the COVICAT cohort (aged 40-65 at recruitment), followed between 2020 and 2023. Disease trajectories were reconstructed from electronic health records (2010-2019), focusing on sequences of two chronic conditions found in ≥ 1% of the cohort. We evaluated shared genetic architecture and polygenic risk scores (PRS) for predictive capacity.

resultsThirty-eight disease trajectories were associated with increased long COVID risk. These trajectories primarily involved mental and neurological disorders (e.g. depression, anxiety, migraine), respiratory diseases (e.g. asthma, allergic rhinitis) and cardiometabolic or digestive conditions (e.g. hypertension, lipidaemia, obesity, gastroesophageal reflux). No significant genetic correlations with long COVID were detected, but polygenic risk scores for two nervous system and musculoskeletal conditions showed modest associations with increased risk.

conclusionsDisease trajectories were significantly associated with long COVID, with a sex effect, highlighting the importance of pre-pandemic disease trajectories. While no strong overall genetic correlations were found, modest polygenic associations suggest a role for shared susceptibility in nervous system and musculoskeletal disorders. From a public health perspective, identifying high-risk multimorbid individuals may inform targeted prevention and care strategies.

Indexed as

COVID-19Genetic Predisposition to DiseaseAdultAgedChronic DiseaseCohort StudiesComorbidityFemaleHumansMaleMiddle AgedMultifactorial InheritanceRisk FactorsSARS-CoV-2Disease trajectoriesGenetic correlationLong COVIDMultimorbidityPolygenic risk scores

Identifiers

PMID41146089
PMCPMC12560560

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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.