{
  "abstract": "Female reproductive disorders widely affect women of reproductive age, yet their shared genetic basis remains incompletely understood, limiting insight into the biological mechanisms linking these conditions. Here, we analyse genetic data from eight common female reproductive disorders to define their shared genetic architecture, primarily through a latent common factor genome wide association study and complemented by a multivariate genome wide association study. We integrate functional annotation to characterise associated loci and use fine mapping to prioritise putative causal variants. We also integrate Multi marker Analysis of GenoMic Annotation and transcriptome wide association analysis to identify candidate susceptibility genes. In addition, we systematically evaluate associations between female reproductive disorders and a broad range of phenotypes and examine their relationships with metabolites, inflammatory mediators, and plasma proteins. Finally, by integrating tissue specific expression, cell type enrichment, and functional genomic annotation, we investigate prioritised susceptibility loci and their putative regulatory elements.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Obstetrics and Gynecology, Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China",
    "First Clinical Medical College, Fujian University of Traditional Chinese Medicine, Fuzhou, China",
    "Department of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China",
    "College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China",
    "Second Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 12,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Ziwei Xie"
    },
    {
      "affs": [
        2
      ],
      "name": "Hao Xiong",
      "orcid": "0009-0008-8468-1750"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Yingying Lin"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Dongmei He"
    },
    {
      "affs": [
        3
      ],
      "name": "Yiqi Li"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Xinyu Zhou"
    },
    {
      "affs": [
        1,
        4
      ],
      "name": "Yan Zheng"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Yuxin Feng"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Yunan Zhang"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Xiaoyun Chen"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Ming Wei"
    },
    {
      "affs": [
        0
      ],
      "name": "Xiaohong Wang",
      "orcid": "0009-0005-2285-7894"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/58ycpc7k2ktyg.bib",
  "cited_by": 1,
  "doi": "10.1038/s42003-026-10426-2",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13696731/",
  "id": "58ycpc7k2ktyg",
  "issns": [
    "2399-3642"
  ],
  "landing_url": "https://doi.org/10.1038/s42003-026-10426-2",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Article"
    ],
    [
      "openalex",
      "1311|Genetic Associations and Epidemiology"
    ]
  ],
  "openalex": "W7163905818",
  "pdf_url": null,
  "pmcid": "PMC13696731",
  "pmid": "42260106",
  "published": "2026-06-08",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/58ycpc7k2ktyg.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:02Z",
      "native_id": "PMC13696731",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s42003-026-10426-2"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1311|Genetic Associations and Epidemiology",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "Cross trait analysis reveals shared genetic architecture of eight common female reproductive disorders",
  "title_text": "Cross trait analysis reveals shared genetic architecture of eight common female reproductive disorders",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:34:01Z",
  "url": "https://research.draconitic.com/paper/58ycpc7k2ktyg",
  "venue": "Communications Biology",
  "versions": []
}