Using Machine Learning to Predict Obesity Based on Genome-Wide and Epigenome-Wide Gene–Gene and Gene–Diet Interactions

Obesity is associated with many chronic diseases that impair healthy aging and is governed by genetic, epigenetic, and environmental factors and their complex interactions. This study aimed to develop a model that predicts an individual’s risk of obesity by better characterizing these complex relati...

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Detalles Bibliográficos
Autores principales: Lee, Yu-Chi, Christensen, Jacob J., Parnell, Laurence D., Smith, Caren E., Shao, Jonathan, McKeown, Nicola M., Ordovás, José M., Lai, Chao-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763388/
https://www.ncbi.nlm.nih.gov/pubmed/35047011
http://dx.doi.org/10.3389/fgene.2021.783845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763388/
https://www.ncbi.nlm.nih.gov/pubmed/35047011
http://dx.doi.org/10.3389/fgene.2021.783845

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