Abstract
A Grand Challenge for Nutrigenomics
Highlights
The first challenge for scientists entering this young discipline is to develop the fundamental knowledge base needed to start to address this complex system
Nutrition scientists are learning genetics, genetic scientists are mastering the complexities of metabolism, and bioinformatics scientists are learning the “languages” of both genetics and nutrition
The likely involvement of genetic variation and epigenetic mechanisms make these prime targets for study
Summary
The grand challenge for nutrigenomics is to assemble such a catalog for nutrient–gene interactions, use these data to develop an integrated framework for how the complex system works, and test these hypotheses. In order to move forward and develop an overarching theory for predicting effects of genetic (epigenetic) variation on metabolism and nutrient requirements, a more complete data set describing nutrient–gene interactions is required.
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