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ARS Home » Northeast Area » Boston, Massachusetts » Jean Mayer Human Nutrition Research Center On Aging » Research » Publications at this Location » Publication #217422

Title: Genotype-phenotype associations: Modulation by diet and obesity

Author
item Ordovas, Jose

Submitted to: Obesity
Publication Type: Review Article
Publication Acceptance Date: 10/24/2007
Publication Date: 11/26/2008
Citation: Ordovas, J.M. 2008. Genotype-phenotype associations: Modulation by diet and obesity. Obesity. 16:S40-S46.

Interpretive Summary:

Technical Abstract: Changes in diet are likely to reduce chronic disorders, but after decades of active research and heated discussion the question still remains: what is the optimal diet to achieve this elusive goal? Is a low fat, as traditionally recommended by multiple medical societies? Or a high monounsaturated fat as predicated by the Mediterranean diet? Perhaps a high polyunsaturated fat based on the cholesterol lowering effects? The right answer may be all of the above but not for everybody. A well-known phenomenon in nutrition research and practice is the dramatic variability in interindividual response to any type of dietary intervention. There are many other factors influencing response, and they include, among many others, age, sex, physical activity, alcohol, and smoking as well as genetic factors that will help to identify vulnerable populations/individuals that will be benefit from a variety of more personalized and mechanistic based dietary recommendations. This potential could and needs to be developed within the context of nutritional genomics that in conjunction with systems biology may provide the tools to achieve the holy grail of dietary prevention and therapy of cardiovascular diseases. This approach will break with the traditional public health approach of "one size fits all." The current evidence based on nutrigenetics has begun to identify subgroups of individuals who benefit more from a low fat diet, whereas others appear to benefit more from a high monounsaturated or polyunsaturated fat (PUFA) diets. The continuous progress in Nutrigenomics will allow some time in the future to provide targeted gene-based dietary advice.