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Quantifying Diet for Nutrigenomic Studies.

Authors :
Tucker, Katherine L.
Smith, Caren E.
Chao-Qiang Lai
Ordovas, Jose M.
Source :
Annual Review of Nutrition. 2013, Vol. 33, p349-371. 23p.
Publication Year :
2013

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 re- sources have gone into improving technology for measurement of the genome and biological systems, dietary intake assessment remains in-adequate. 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01999885
Volume :
33
Database :
Academic Search Index
Journal :
Annual Review of Nutrition
Publication Type :
Academic Journal
Accession number :
90008150
Full Text :
https://doi.org/10.1146/annurev-nutr-072610-145203