{
  "abstract": "ObjectiveThe objective of this study was to detect genetic factors associated with dermatochalasis using a genome-wide association study (GWAS) across three large cohorts.\n\nDesignGWAS meta-analysis\n\nParticipantsA total of 13,200 dermatochalasis cases and 962,513 controls were included.\n\nMethodsA GWAS meta-analysis of dermatochalasis combining data from the FinnGen, the Estonian Biobank and the UK Biobank was conducted. We also performed colocalization analyses, a phenome-wide association study and age-at-onset analysis, and assessed genetic correlations with various diseases and traits.\n\nMain outcome measuresIdentification of genetic variants associated with dermatochalasis.\n\nResultsWe identified 18 loci associated with dermatochalasis at genome-wide significance, majority of which had not been previously described. Most of these loci had genes involved in skin biology and cutaneous diseases, such as the genes encoding elastin (ELN) and Latent TGF-{beta} binding protein 1 (LTBP1). Phenome-wide association study revealed previous associations with morphology-related traits, while genetic correlation analysis highlighted multiple genetic correlations, especially with smoking and pain.\n\nConclusionsWe detected 18 genetic loci associated with dermatochalasis, characterized these loci in detail and demonstrated their relevance in skin biology and related processes. These findings give novel information on the genetic background of dermatochalasis and provide a solid basis for further research.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 15,
  "authors": [
    {
      "name": "K. Rajueni"
    },
    {
      "name": "F. Koskimäki"
    },
    {
      "name": "V. Salo"
    },
    {
      "name": "A. Pasanen"
    },
    {
      "name": "E. Sliz"
    },
    {
      "name": "S. Vanhala"
    },
    {
      "name": "K. Reis"
    },
    {
      "name": "A. Reigo"
    },
    {
      "name": "Estonian Biobank Research, FinnGen Team"
    },
    {
      "name": "P. Palta"
    },
    {
      "name": "K. Tasanen"
    },
    {
      "name": "J. Liinamaa"
    },
    {
      "name": "J. Kettunen"
    },
    {
      "name": "V. Saarela"
    },
    {
      "name": "M. K. Karjalainen"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ftawhpds0h2f0.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.08.04.26359692",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.08.04.26359692v2.full",
  "id": "ftawhpds0h2f0",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.08.04.26359692v2",
  "language": null,
  "licence": "CC-BY-ND",
  "licence_label": "CC BY-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "ophthalmology"
    ],
    [
      "openalex",
      "1311|Genetic Associations and Epidemiology"
    ]
  ],
  "openalex": "W7196962466",
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.08.04.26359692v2.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-04",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ftawhpds0h2f0.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.64898/2026.08.04.26359692",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.08.04.26359692v2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1311|Genetic Associations and Epidemiology",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "Multi-biobank genome-wide association study of dermatochalasis implicates genes involved in skin biology and morphology",
  "title_text": "Multi-biobank genome-wide association study of dermatochalasis implicates genes involved in skin biology and morphology",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:30Z",
  "url": "https://research.draconitic.com/paper/ftawhpds0h2f0",
  "venue": "medRxiv",
  "versions": []
}