{
  "abstract": "Background: Older adults with high inherited Alzheimer's disease (AD) susceptibility can still be cognitively normal (CN). An overall risk estimate alone does not show the cognitive and genetic contributions within a forecast. Objective: To quantify clinical and genetic contributions to cognitive prognosis. Methods: PRISM-AD combined nonlinear clinical functions and a polygenic risk score (PRS) term in 4,435 European-ancestry participants. Participant-level internal validation evaluated first recorded mild cognitive impairment (MCI) after CN in 908 participants and AD dementia after MCI in 714, within three or five years. Separately fitted comparators used identical inputs. Post hoc clinical-course comparisons used regression with robust standard errors and Benjamini-Hochberg (BH) correction. Results: PRISM-AD using current assessments achieved average precision of 0.2996 and 0.4094 for three- and five-year CN-to-MCI, with estimates close to logistic regression. No PRISM-AD PRS increment met BH q < 0.05. Three-year first-MCI forecasts characterized risk contributions in 893 initially CN participants. A retrospective comparison over available follow-up included 95 participants with later AD and 701 with CN at their last diagnostic assessment. Modeled genetic factors were higher in later AD in nine of ten shared cognitive-risk deciles. After adjustment for modeled cognitive risk and fold, the genetic-factor ratio was 1.135 (nominal 95% CI, 1.073 to 1.201, BH q < 0.001). Conclusions: Higher genetic contributions were associated with later AD at comparable modeled cognitive risk. These exploratory profiles require independent validation before use in cognitive follow-up or prevention research.",
  "abstract_shown": true,
  "affiliations": [
    "The University of Texas Health Science Center at Houston"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "Y. Dai"
    },
    {
      "name": "C. S. Wood"
    },
    {
      "name": "X. Jiang"
    },
    {
      "affs": [
        0
      ],
      "name": "Y.-C. Hsu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7n18k7907h2g6.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.11.03.26367206",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.11.03.26367206v1.full",
  "id": "7n18k7907h2g6",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.11.03.26367206v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "neurology"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.11.03.26367206v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-03",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7n18k7907h2g6.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T00:20:40Z",
      "native_id": "10.64898/2026.11.03.26367206",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.11.03.26367206v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:neurology",
      "subfield": "neurology"
    }
  ],
  "title": "PRISM-AD quantifies clinical and genetic contributions to cognitive risk prediction",
  "title_text": "PRISM-AD quantifies clinical and genetic contributions to cognitive risk prediction",
  "type": "preprint",
  "updated_at": "2026-11-06T00:20:55Z",
  "url": "https://research.draconitic.com/paper/7n18k7907h2g6",
  "venue": "medRxiv",
  "versions": []
}