Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2017 Apr 7;18(4):787.
doi: 10.3390/ijms18040787.

Gene-Diet Interaction and Precision Nutrition in Obesity

Yoriko Heianza  1 , Lu Qi  2   3
Affiliations
Review

Gene-Diet Interaction and Precision Nutrition in Obesity

Yoriko Heianza et al. Int J Mol Sci. .

Abstract

The rapid rise of obesity during the past decades has coincided with a profound shift of our living environment, including unhealthy dietary patterns, a sedentary lifestyle, and physical inactivity. Genetic predisposition to obesity may have interacted with such an obesogenic environment in determining the obesity epidemic. Growing studies have found that changes in adiposity and metabolic response to low-calorie weight loss diets might be modified by genetic variants related to obesity, metabolic status and preference to nutrients. This review summarized data from recent studies of gene-diet interactions, and discussed integration of research of metabolomics and gut microbiome, as well as potential application of the findings in precision nutrition.

Keywords: gene-diet interactions; obesity; weight loss.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

References

    1. Hruby A., Manson J.E., Qi L., Malik V.S., Rimm E.B., Sun Q., Willett W.C., Hu F.B. Determinants and consequences of obesity. Am. J. Public Health. 2016;106:1656–1662. doi: 10.2105/AJPH.2016.303326. - DOI - PMC - PubMed
    1. Walter S., Mejia-Guevara I., Estrada K., Liu S.Y., Glymour M.M. Association of a genetic risk score with body mass index across different birth cohorts. JAMA. 2016;316:63–69. doi: 10.1001/jama.2016.8729. - DOI - PubMed
    1. Kilpelainen T.O., Carli J.F., Skowronski A.A., Sun Q., Kriebel J., Feitosa M.F., Hedman A.K., Drong A.W., Hayes J.E., Zhao J., et al. Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat. Commun. 2016;7:10494. doi: 10.1038/ncomms10494. - DOI - PMC - PubMed
    1. Tanaka T., Ngwa J.S., van Rooij F.J., Zillikens M.C., Wojczynski M.K., Frazier-Wood A.C., Houston D.K., Kanoni S., Lemaitre R.N., Luan J., et al. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am. J. Clin. Nutr. 2013;97:1395–1402. doi: 10.3945/ajcn.112.052183. - DOI - PMC - PubMed
    1. Chu A.Y., Workalemahu T., Paynter N.P., Rose L.M., Giulianini F., Tanaka T., Ngwa J.S., Qi Q., Curhan G.C., Rimm E.B., et al. Novel locus including FGF21 is associated with dietary macronutrient intake. Hum. Mol. Genet. 2013;22:1895–1902. doi: 10.1093/hmg/ddt032. - DOI - PMC - PubMed