{
  "abstract": "Background: Psoriasis (PS) and metabolic syndrome (MetS) frequently co-occur. Characterizing their shared genetic architecture and spatially enriched cellular populations may clarify the context of their co-occurrence and generate hypotheses for functional validation. Methods: We integrated genome-wide association study (GWAS) summary statistics for PS, MetS, and five related components with spatially resolved single-cell transcriptomic data. Global and local genetic correlations were assessed using linkage disequilibrium score regression, genetic covariance analysis, high-definition likelihood, and local analysis of variant association. A bivariate causal mixture model quantified polygenic overlap. Conditional/conjunctional false discovery rate and composite-null pleiotropy analyses identified shared susceptibility loci. Finally, gsMap evaluated trait-associated enrichment across annotated embryonic tissues at single-cell resolution. Results: Genetic approaches identified significant genome-wide correlations and polygenic sharing between PS, MetS, and its components. Local and cross-trait analyses identified region-specific signals and cross-validated shared loci. gsMap revealed trait-specific tissue enrichment. PS showed the strongest enrichment in the epidermis (pCauchy = 1.0573 × 10 − ⁴), adipose tissue (pCauchy = 1.5366 × 10 − ⁴), and liver (pCauchy = 1.0167 × 10 − ³). Across MetS, FBG, HDL-C, hypertension, and TG, enriched regions mainly involved the liver, adipose tissue, and epidermis. WC enrichment was predominantly observed in adipose tissue (pCauchy = 1.7823 × 10 − ⁴), with no significant liver or epidermal enrichment. Conclusion: Integrating GWAS with single-cell transcriptomic and spatial information characterized shared genetic architecture between PS and MetS-related phenotypes and their spatial enrichment patterns. These findings provide a framework for generating testable hypotheses about comorbidity biology and guiding future functional and clinical validation.",
  "abstract_shown": true,
  "affiliations": [
    "Qionglai Hospital of Traditional Chinese Medicine, Chengdu, China",
    "Faculty of Chinese Medicine, Macau University of Science and Technology, MacauChina",
    "Sichuan Academy of Chinese Medicine Sciences, Chengdu, China",
    "Clinical Medical College, Jiangxi University of Chinese Medicine, Nanchang, China"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Guo Liu"
    },
    {
      "affs": [
        1
      ],
      "name": "Fengjuan Gong"
    },
    {
      "affs": [
        2
      ],
      "name": "Guanhu Yang"
    },
    {
      "affs": [
        3
      ],
      "name": "Yu Li"
    },
    {
      "name": "Yanjiao Ji"
    },
    {
      "name": "Xinyue Chen"
    },
    {
      "name": "Chao Wang"
    },
    {
      "name": "Qinghua Luo"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dt0h5y7xa83nr.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0358472",
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  "id": "dt0h5y7xa83nr",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0358472",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1311|Genetic Associations and Epidemiology"
    ],
    [
      "plos",
      "/Biology and life sciences/Computational biology/Genome analysis/Genome-wide association studies"
    ],
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      "plos",
      "/Biology and life sciences/Genetics"
    ],
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      "plos",
      "/Biology and life sciences/Genetics/Genetic loci"
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      "plos",
      "/Biology and life sciences/Genetics/Genetics of disease"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Genomics"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Genomics/Genome analysis/Genome-wide association studies"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Human genetics/Genome-wide association studies"
    ],
    [
      "plos",
      "/Biology and life sciences/Genetics/Single nucleotide polymorphisms"
    ],
    [
      "plos",
      "/Biology and life sciences/Immunology/Clinical immunology/Autoimmune diseases/Psoriasis"
    ],
    [
      "plos",
      "/Medicine and health sciences/Clinical medicine/Clinical immunology/Autoimmune diseases/Psoriasis"
    ],
    [
      "plos",
      "/Medicine and health sciences/Epidemiology/Genetic epidemiology"
    ],
    [
      "plos",
      "/Medicine and health sciences/Immunology/Clinical immunology/Autoimmune diseases/Psoriasis"
    ]
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  "openalex": "W7213305583",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0358472&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-15",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/dt0h5y7xa83nr.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:49Z",
      "native_id": "10.1371/journal.pone.0358472",
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  "subjects": [
    {
      "field": "biology",
      "origin": "plos:genetics",
      "subfield": "genetics-genomics"
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  "title": "Shared genetic basis and spatial cellular atlas of psoriasis and metabolic syndrome",
  "title_text": "Shared genetic basis and spatial cellular atlas of psoriasis and metabolic syndrome",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:49Z",
  "url": "https://research.draconitic.com/paper/dt0h5y7xa83nr",
  "venue": "PLOS One",
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}