Literature DB >> 16011471

SINGLE NUCLEOTIDE POLYMORPHISMS THAT INFLUENCE LIPID METABOLISM: Interaction with Dietary Factors.

Dolores Corella1, Jose M Ordovas.   

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.

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Year:  2005        PMID: 16011471     DOI: 10.1146/annurev.nutr.25.050304.092656

Source DB:  PubMed          Journal:  Annu Rev Nutr        ISSN: 0199-9885            Impact factor:   11.848


  38 in total

1.  Genotype-by-diet interactions drive metabolic phenotype variation in Drosophila melanogaster.

Authors:  Laura K Reed; Stephanie Williams; Mastafa Springston; Julie Brown; Kenda Freeman; Christie E DesRoches; Marla B Sokolowski; Greg Gibson
Journal:  Genetics       Date:  2010-04-12       Impact factor: 4.562

Review 2.  Genetic variation and lipid metabolism: modulation by dietary factors.

Authors:  Jose M Ordovas; Dolores Corella
Journal:  Curr Cardiol Rep       Date:  2005-11       Impact factor: 2.931

Review 3.  Effect of genotype on success of lifestyle intervention in subjects at risk for type 2 diabetes.

Authors:  Peter Weyrich; Norbert Stefan; Hans-Ulrich Häring; Markku Laakso; Andreas Fritsche
Journal:  J Mol Med (Berl)       Date:  2006-12-13       Impact factor: 4.599

4.  Maternal and fetal variation in genes of cholesterol metabolism is associated with preterm delivery.

Authors:  K M Steffen; M E Cooper; M Shi; D Caprau; H N Simhan; J M Dagle; M L Marazita; J C Murray
Journal:  J Perinatol       Date:  2007-09-13       Impact factor: 2.521

5.  Sex-specific association of the peptidase D gene rs731839 polymorphism and serum lipid levels in the Mulao and Han populations.

Authors:  Quan-Zhen Lin; Rui-Xing Yin; Jian Wu; Tao Guo; Wei Wang; Jia-Qi Sun; Guang-Yuan Shi; Shao-Wen Shen; Jin-Zhen Wu; Shang-Ling Pan
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

6.  APOA5 gene variation modulates the effects of dietary fat intake on body mass index and obesity risk in the Framingham Heart Study.

Authors:  Dolores Corella; Chao-Qiang Lai; Serkalem Demissie; L Adrienne Cupples; Alisa K Manning; Katherine L Tucker; Jose M Ordovas
Journal:  J Mol Med (Berl)       Date:  2007-01-09       Impact factor: 4.599

7.  APOA5 gene variation interacts with dietary fat intake to modulate obesity and circulating triglycerides in a Mediterranean population.

Authors:  Carmen Sánchez-Moreno; Jose M Ordovás; Caren E Smith; Juan C Baraza; Yu-Chi Lee; Marta Garaulet
Journal:  J Nutr       Date:  2011-01-05       Impact factor: 4.798

8.  APOA2, dietary fat, and body mass index: replication of a gene-diet interaction in 3 independent populations.

Authors:  Dolores Corella; Gina Peloso; Donna K Arnett; Serkalem Demissie; L Adrienne Cupples; Katherine Tucker; Chao-Qiang Lai; Laurence D Parnell; Oscar Coltell; Yu-Chi Lee; Jose M Ordovas
Journal:  Arch Intern Med       Date:  2009-11-09

9.  Standardization of PCR-RFLP analysis of nsSNP rs1468384 of NPC1L1 gene.

Authors:  Praveen P Balgir; Divya Khanna; Gurlovleen Kaur
Journal:  Indian J Hum Genet       Date:  2008-09

10.  Functional genomic and epidemiological studies reveal novel genes regulating cholesterol metabolism.

Authors:  Kris Richardson; Jose M Ordovas
Journal:  Genome Med       Date:  2009-10-27       Impact factor: 11.117

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