Preprint Genome-wide association studies of Long COVID and post-acute complications of SARS-CoV-2 in the UK Biobank Data, 2025, Prieto-Alhambra et al.

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Genome-wide association studies of Long COVID and post-acute complications of SARS-CoV-2 in the UK Biobank Data
Daniel Prieto-Alhambra; Marta Alcalde-Herraiz; Kim López-Güell; Shahed Iqbal; Jeffrey Wallin; Yunhao Liu; Jun Xie

The genetic foundations of post-COVID-19 conditions remains unclear. We performed two genome-wide association studies (GWAS) in UK Biobank COVID-19 positive individuals to identify the genetic variants associated with Long COVID (LC) and post-acute cardiovascular complications of SARS-CoV-2 (PACS-CVD).

The LC cohort comprised 8,469 participants (68% cases). The PACS-CVD cohort included 105,175 individuals (2% cases). LC GWAS identified 15 independent signals at suggestive significance (p-value<5×10⁻⁶), with 73.3% validated.

The fully validated variant, rs12335232 (ADCY8), has been linked to memory decline, COVID-19 infection and severity. Other loci were near CHRNA7 (neuroinflammation, COVID-19 severity) and RNU7-126P (COVID-19 hospitalization). These findings consistently demonstrate shared biological pathways between acute infection and persistent symptoms. PACS-CVD GWAS identified 14 suggestive loci, mainly near genes linked to cardiovascular and metabolic functions (SAYSD1/KCNK5, FLT1) or COVID-19 severity (ROR2).

These results enhance the genetic understanding of Long COVID and PACS-CVD pathophysiology and highlight several potential therapeutic targets for both conditions.

Web | PDF | Preprint: Research Square | Open Access
 
Although no SNPs reached genome-wide significance (p-value ≤ 5×10−8 ) in the LC GWAS, 15 genomic loci achieved suggestive significance threshold (p-value ≤ 5×10−6)

Of these, one variant -rs12335232 in the ADCY8 gene- was fully validated (Figure 2), with the G allele associated with an increased risk of LC (OR = 1.32, 95%CI = 1.17–1.49).

GeneCards — ADCY8

Zhang et al Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis (2025) highlighted ADCY10.
 
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