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Inclusion of a multi-ancestry polygenic risk score into a machine learning weight gain prediction model: an observational analysis from the NIH All of Us Research Program.
Lauer KV, Stalter LN, Hanlon BM, Parks BW, Lu T, Funk LM

Inclusion of a multi-ancestry polygenic risk score into a machine learning weight gain prediction model: an observational analysis from the NIH All of Us Research Program.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in JAMIA Open.

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Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Title Inclusion of a multi-ancestry polygenic risk score into a machine learning weight gain prediction model: an observational analysis from the NIH All of Us Research Program.
Author / Organization Lauer KV, Stalter LN, Hanlon BM, Parks BW, Lu T, Funk LM
Subject & Discipline JAMIA Open
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-33306
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »