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Title: Quantifying diet for nutrigenomic studies

item TUCKER, KATHERINE - Northeastern University
item SMITH, CAREN - Jean Mayer Human Nutrition Research Center On Aging At Tufts University
item Lai, Chao Qiang
item ORDOVAS, JOSE - Jean Mayer Human Nutrition Research Center On Aging At Tufts University

Submitted to: Annual Review of Nutrition
Publication Type: Review Article
Publication Acceptance Date: 4/15/2013
Publication Date: 7/1/2013
Citation: Tucker, K.L., Smith, C.E., Lai, C., Ordovas, J.M. 2013. Quantifying diet for nutrigenomic studies. Annual Review of Nutrition. 33:349-371.

Interpretive Summary:

Technical Abstract: The field of nutrigenomics shows tremendous promise for improved understanding of the effects of dietary intake on health. The knowledge that metabolic pathways may be altered in individuals with genetic variants in the presence of certain dietary exposures offers great potential for personalized nutrition advice. However, although considerable resources have gone into improving technology for measurement of the genome and biological systems, dietary intake assessment remains inadequate. Each of the methods currently used has limitations that may be exaggerated in the context of gene x nutrient interaction in large multiethnic studies. Because of the specificity of most gene x nutrient interactions, valid data are needed for nutrient intakes at the individual level. Most statistical adjustment efforts are designed to improve estimates of nutrient intake distributions in populations and are unlikely to solve this problem. An improved method of direct measurement of individual usual dietary intake that is unbiased across populations is urgently needed.