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Updated: Jan 13, 2026

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Pre-pandemic disease trajectories and genetic insights into long COVID susceptibility
Natalia Blay1,2,3, Xavier Farré1,2, Judith Garcia-Aymerich4,5,6
1Genomes for Life-GCAT Lab, CORE Program, Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
Background:
Long 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.
Methods:
We 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.
Results:
Thirty-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.
Conclusions:
Disease 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.
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