Quantifying Diet for Nutrigenomic Studies
Annual Review of Nutrition
Review in Advance first posted online on April 29, 2013. (Changes may still occur before final publication online print.)
DOI: 10.1146/annurev-nutr-072610-145203
Katherine L. Tucker
Department of Health Sciences, Northeastern University, Boston, MA 02115; email: kl.tucker@neu.edu
Caren E. Smith
Nutrition & Genomics Laboratory, USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111
Chao-Qiang Lai
Nutrition & Genomics Laboratory, USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111
Jose M. Ordovas
Nutrition & Genomics Laboratory, USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111
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 × nutrient interaction in large multiethnic studies. Because of the specificity of most gene × 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.
Expected final online publication date for the Annual Review of Nutrition Volume 33 is July 17, 2013. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.
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