{
  "abstract": "Opportunities remain to leverage population structure in large scale genomic studies for additional insight. Admixture mapping (AM) identifies loci where disease risk differs by ancestral background, offering a complementary strategy to genome-wide association studies (GWAS) in admixed populations. We performed a systematic comparison of AM and GWAS across over 800 clinical phenotypes in Hispanic/Latino (HL) and African American (AA) participants from the BioMe biobank. We developed a well-calibrated AM pipeline tailored to the local ancestry structure of HL (N = 14,876) and AA (N = 8,819). While GWAS identified a greater number of significant associations, AM revealed 77 signals, including 48 not detected by GWAS. AM-tagged variants had higher minor allele frequency and population differentiation (Fst), while GWAS demonstrated higher odds ratios, underscoring the distinct genetic architecture identified by each method. This study emphasizes the importance of applying both GWAS and AM approaches to uncover previously unreported loci in admixed populations.",
  "abstract_shown": true,
  "affiliations": [
    "Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY USA",
    "Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA",
    "Graduate Program in Genomics and Computational Biology, University of Pennsylvania, Philadelphia, PA USA",
    "Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA",
    "Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA",
    "Department of Computer and Information Sciences, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA USA",
    "Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Sinead Cullina"
    },
    {
      "affs": [
        0
      ],
      "name": "Ruhollah Shemirani"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Zhuozheng Shi"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "Ravi Mandla",
      "orcid": "0000-0002-0782-0138"
    },
    {
      "affs": [
        3,
        4,
        5
      ],
      "name": "Bogdan Pasaniuc",
      "orcid": "0000-0002-0227-2056"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Samira Asgari",
      "orcid": "0000-0002-2347-8985"
    },
    {
      "affs": [
        0,
        1,
        6
      ],
      "name": "Eimear E. Kenny",
      "orcid": "0000-0001-9198-759X"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ca73emrt4wvfa.bib",
  "cited_by": 0,
  "doi": "10.1038/s41467-026-76694-y",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13696683/",
  "id": "ca73emrt4wvfa",
  "issns": [
    "2041-1723"
  ],
  "landing_url": "https://doi.org/10.1038/s41467-026-76694-y",
  "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": "W7214183950",
  "pdf_url": "https://europepmc.org/articles/PMC13696683?pdf=render",
  "pmcid": "PMC13696683",
  "pmid": "42928239",
  "published": "2026-09-24",
  "publisher": "Nature Publishing Group",
  "ris": "https://research.draconitic.com/paper/ca73emrt4wvfa.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:00Z",
      "native_id": "PMC13696683",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s41467-026-76694-y"
    },
    {
      "first_seen": "2026-10-30T12:21:18Z",
      "native_id": "MED:42928239",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42928239"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:1311|Genetic Associations and Epidemiology",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "Systematic comparison of phenome-wide admixture mapping and genome-wide association at biobank-scale",
  "title_text": "Systematic comparison of phenome-wide admixture mapping and genome-wide association at biobank-scale",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:33:59Z",
  "url": "https://research.draconitic.com/paper/ca73emrt4wvfa",
  "venue": "Nature Communications",
  "versions": []
}