Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms
The dataset presented in this study consolidates and organizes information on genetic polymorphisms associated with nutrition, facilitating detailed exploration of gene-diet interactions. This resource advances personalized nutrition interventions and nutrigenomics research. The dataset is publicly accessible at https://zenodo.org/records/14052302, its adaptable structure ensures applicability in a broad range of genetic investigations.
Authors
- Bruno Hay Mele (ORCID: https://orcid.org/0000-0001-5579-183X)
- Viola Calabrò (ORCID: https://orcid.org/0000-0002-6508-8889)
- Tiziana Angrisano (ORCID: https://orcid.org/0000-0002-5940-5278)
- Alessandra Pollice (ORCID: https://orcid.org/0000-0003-1619-5925)
- Maria Monticelli (ORCID: https://orcid.org/0000-0003-3136-2138)
- Giovanni Maria De Filippis (ORCID: https://orcid.org/0009-0002-8395-0724)
Institutions
- Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (IT)
- National Research Council (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1016/j.jbi.2025.104845
- Citations
- 2
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 3.63