Abstract
Annual Review of Nutrition
Vol. 25:
341-390
(Volume publication date August 2005)
(doi:10.1146/annurev.nutr.25.050304.092656)
SINGLE NUCLEOTIDE POLYMORPHISMS THAT INFLUENCE LIPID METABOLISM: Interaction with Dietary Factors Dolores Corella1,2 and Jose M. Ordovas11Nutrition and Genomics Laboratory, Jean Mayer–U.S. Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts 02111, and the 2Genetic and Molecular Epidemiology Unit, School of Medicine, University of Valencia, Valencia 46010 Spain; email: dolores.corella@uv.es, jose.ordovas@tufts.edu ▪ Abstract Cardiovascular disease (CVD) risk is the result of complex interactions between genetic and environmental factors. During the past few decades, much attention has focused on plasma lipoproteins as CVD risk factors. The current evidence supports the concept that gene-environment interactions modulate plasma lipid concentrations and potentially CVD risk. The findings from studies examining gene-diet interactions and lipid metabolism have been highly promising. Several loci (i.e., APOA1, APOA4, APOE, and LIPC) are providing proof-of-concept for the potential application of genetics in the context of personalized nutritional recommendations for CVD prevention. However, the incorporation of these findings to the clinical environment is not ready for prime time. There is a compelling need for replication using a higher level of scientific evidence. Moreover, we need to evolve from the simple scenarios examined nowadays (i.e., one single dietary component, single nucleotide polymorphism, and risk factor) to more realistic situations involving interactions between multiple genes, dietary components, and risk factors. In summary, there is need for both large population studies and well-standardized intervention studies. Most recent citing papers (via CrossRef) Roles for Vitamin K Beyond Coagulation Annual Review of Nutrition 29 (2009) Personalizing Nutrigenomics Research through Community Based Participatory Research and Omics Technologies Beverly McCabe-Sellers, Dalia Lovera, Henry Nuss, Carolyn Wise, Baitang Ning, Candee Teitel, Beatrice Shelby Clark, Terri Toennessen, Bridgett Green, Margaret L. Bogle, Jim Kaput OMICS: A Journal of Integrative Biology 12(4):263-272 (2009) Genotype–Phenotype Associations: Modulation by Diet and Obesity Obesity 16:S40-S46 (2009) Association of sequence variations in the gene encoding insulin-like growth factor binding protein 5 with adiponectin International Journal of Obesity (2008) Clinical significance of apolipoprotein A5 Current Opinion in Lipidology 19(4):349-354 (2008)
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