lunes, 20 de mayo de 2013

Quantifying Diet for Nutrigenomic Studies - Annual Review of Nutrition, 33(1):

Quantifying Diet for Nutrigenomic Studies - Annual Review of Nutrition, 33(1):


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:


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



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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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