{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T19:03:21Z","timestamp":1789499001833,"version":"build-2803163510"},"reference-count":52,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      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\u2009=\u20091.0573\u2009\u00d7\u200910\u2009\n                      <jats:sup>\u2212<\/jats:sup>\n                      \u2009\u2074), adipose tissue (pCauchy\u2009=\u20091.5366\u2009\u00d7\u200910\u2009\n                      <jats:sup>\u2212<\/jats:sup>\n                      \u2009\u2074), and liver (pCauchy\u2009=\u20091.0167\u2009\u00d7\u200910\u2009\n                      <jats:sup>\u2212<\/jats:sup>\n                      \u2009\u00b3). 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\u2009=\u20091.7823\u2009\u00d7\u200910\u2009\n                      <jats:sup>\u2212<\/jats:sup>\n                      \u2009\u2074), with no significant liver or epidermal enrichment.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0358472","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:08:32Z","timestamp":1789495712000},"page":"e0358472","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Shared genetic basis and spatial cellular atlas of psoriasis and metabolic syndrome"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-0224-5532","authenticated-orcid":true,"given":"Guo","family":"Liu","sequence":"first","affiliation":[{"name":"Qionglai Hospital of Traditional Chinese Medicine","place":["Chengdu, China"]},{"name":"Macau University of Science and Technology","place":["Macau, China"],"department":["Faculty of Chinese 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