{
  "abstract": "This study explores the shared genetic architecture between severe COVID-19 and metabolic traits such as type 2 diabetes (T2D), body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR). While chronic conditions such as T2D and obesity are known to increase the risk of severe COVID-19, the genetic mechanisms underlying these associations remain unclear. To address this gap, we performed cross-trait meta-analyses using genome-wide association study (GWAS) data and identified significant genetic correlations between severe COVID-19 and metabolic traits. Subsequent analyses revealed shared genetic loci, indicating potential pleiotropic effects. To assess the functional relevance of these findings, we conducted transcriptome-wide association studies (TWAS) across multiple tissues. The TWAS analyses identified key genes significantly associated with metabolically relevant tissues, including adipose, cardiovascular, and immune-related tissues. Pathway enrichment analyses using the KEGG pathway database, GWAS Catalog, and DisGeNET further revealed substantial genetic overlap between severe COVID-19 and metabolic traits. These findings suggest that metabolic dysregulation may exacerbate severe COVID-19 through shared immune-metabolic pathways and highlight candidate genes and mechanisms that link metabolic health to COVID-19 outcomes.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Statistics and Actuarial Science, Soongsil University",
    "Department of Statistics, Seoul National University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Seunghwan Park"
    },
    {
      "affs": [
        0
      ],
      "name": "Jieun Seo"
    },
    {
      "affs": [
        1
      ],
      "name": "Taesung Park"
    },
    {
      "affs": [
        0
      ],
      "name": "Wonil Chung"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/9jdv4s2gtyyrq.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-63056-3",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-63056-3",
  "id": "9jdv4s2gtyyrq",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://doi.org/10.1038/s41598-026-63056-3",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
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      "lcc",
      "R"
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    [
      "openalex",
      "1311|Genetic Associations and Epidemiology"
    ]
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  "openalex": "W7170082472",
  "pdf_url": "https://www.nature.com/articles/s41598-026-63056-3_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/9jdv4s2gtyyrq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:57Z",
      "native_id": "8ff4e588a2a64702b6b9bf25f34ccd94",
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      "url": "https://doi.org/10.1038/s41598-026-63056-3"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1311|Genetic Associations and Epidemiology",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "Identifying the shared genetic architecture among severe COVID-19, type 2 diabetes, and obesity using cross-trait meta-analysis",
  "title_text": "Identifying the shared genetic architecture among severe COVID-19, type 2 diabetes, and obesity using cross-trait meta-analysis",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:57Z",
  "url": "https://research.draconitic.com/paper/9jdv4s2gtyyrq",
  "venue": "Scientific Reports",
  "versions": []
}