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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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