Literature DB >> 19037211

Genotype-phenotype associations: modulation by diet and obesity.

Jose M Ordovas1.   

Abstract

Changes in diet are likely to reduce chronic disorders, but after decades of active research and heated discussion, the question still remains: what is the optimal diet to achieve this elusive goal? Is it a low-fat diet, as traditionally recommended by multiple medical societies? Or a high monounsaturated fat (MUFA) diet as predicated by the Mediterranean diet? Perhaps a high polyunsaturated fat (PUFA) diet based on the cholesterol-lowering effects? The right answer may be all of the above but not for everybody. A well-known phenomenon in nutrition research and practice is the dramatic variability in interindividual response to any type of dietary intervention. There are many other factors influencing response, and they include, among many others, age, sex, physical activity, alcohol, and smoking as well as genetic factors that will help to identify vulnerable populations/individuals that will benefit from a variety of more personalized and mechanistic-based dietary recommendations. This potential could and needs to be developed within the context of nutritional genomics that in conjunction with systems biology may provide the tools to achieve the holy grail of dietary prevention and therapy of chronic diseases and cancer. This approach will break with the traditional public health approach of "one size fits all." The current evidence based on nutrigenetics has begun to identify subgroups of individuals who benefit more from a low-fat diet, whereas others appear to benefit more from high MUFA or PUFA diets. The continuous progress in nutrigenomics will allow some time in the future to provide targeted gene-based dietary advice.

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Year:  2008        PMID: 19037211      PMCID: PMC2771769          DOI: 10.1038/oby.2008.515

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  79 in total

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2.  Alcohol drinking determines the effect of the APOE locus on LDL-cholesterol concentrations in men: the Framingham Offspring Study.

Authors:  D Corella; K Tucker; C Lahoz; O Coltell; L A Cupples; P W Wilson; E J Schaefer; J M Ordovas
Journal:  Am J Clin Nutr       Date:  2001-04       Impact factor: 7.045

Review 3.  Genomics and proteomics: importance for the future of nutrition research.

Authors:  H Daniel
Journal:  Br J Nutr       Date:  2002-05       Impact factor: 3.718

4.  A gender difference in the association between APOE genotype and age-related cognitive decline.

Authors:  E L Mortensen; P Høgh
Journal:  Neurology       Date:  2001-07-10       Impact factor: 9.910

5.  Endothelin-1 gene variant associates with blood pressure in obese Japanese subjects: the Ohasama Study.

Authors:  T Asai; T Ohkubo; T Katsuya; J Higaki; Y Fu; M Fukuda; A Hozawa; M Matsubara; H Kitaoka; I Tsuji; T Araki; H Satoh; S Hisamichi; Y Imai; T Ogihara
Journal:  Hypertension       Date:  2001-12-01       Impact factor: 10.190

6.  Environmental factors modulate the effect of the APOE genetic polymorphism on plasma lipid concentrations: ecogenetic studies in a Mediterranean Spanish population.

Authors:  D Corella; M Guillén; C Sáiz; O Portolés; A Sabater; S Cortina; J Folch; J I González; J M Ordovas
Journal:  Metabolism       Date:  2001-08       Impact factor: 8.694

7.  Apolipoprotein E4 and coronary heart disease in middle-aged men who smoke: a prospective study.

Authors:  S E Humphries; P J Talmud; E Hawe; M Bolla; I N Day; G J Miller
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Review 8.  Apolipoprotein E and diets: a case of gene-nutrient interaction?

Authors:  Jill Rubin; Lars Berglund
Journal:  Curr Opin Lipidol       Date:  2002-02       Impact factor: 4.776

9.  Physical activity may modulate effects of ApoE genotype on lipid profile.

Authors:  Martine S Bernstein; Michael C Costanza; Richard W James; Michael A Morris; François Cambien; Ségolène Raoux; Alfredo Morabia
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-01       Impact factor: 8.311

Review 10.  The APOE locus and the pharmacogenetics of lipid response.

Authors:  Jose M Ordovas; Vincent Mooser
Journal:  Curr Opin Lipidol       Date:  2002-04       Impact factor: 4.776

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  16 in total

Review 1.  Genotype to phenotype: Diet-by-mitochondrial DNA haplotype interactions drive metabolic flexibility and organismal fitness.

Authors:  Wen C Aw; Samuel G Towarnicki; Richard G Melvin; Neil A Youngson; Michael R Garvin; Yifang Hu; Shaun Nielsen; Torsten Thomas; Russell Pickford; Sonia Bustamante; Antón Vila-Sanjurjo; Gordon K Smyth; J William O Ballard
Journal:  PLoS Genet       Date:  2018-11-06       Impact factor: 5.917

2.  A strategy for analyzing gene-nutrient interactions in type 2 diabetes.

Authors:  Carolyn Wise; Jim Kaput
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

Review 3.  PPAR-α as a key nutritional and environmental sensor for metabolic adaptation.

Authors:  Alejandra V Contreras; Nimbe Torres; Armando R Tovar
Journal:  Adv Nutr       Date:  2013-07-01       Impact factor: 8.701

4.  The Niemann-Pick C1 gene interacts with a high-fat diet to promote weight gain through differential regulation of central energy metabolism pathways.

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Journal:  Am J Physiol Endocrinol Metab       Date:  2017-05-09       Impact factor: 4.310

Review 5.  Appetite control: methodological aspects of the evaluation of foods.

Authors:  J Blundell; C de Graaf; T Hulshof; S Jebb; B Livingstone; A Lluch; D Mela; S Salah; E Schuring; H van der Knaap; M Westerterp
Journal:  Obes Rev       Date:  2010-01-29       Impact factor: 9.213

6.  Circadian rhythmicity as a predictor of weight-loss effectiveness.

Authors:  C Bandín; A Martinez-Nicolas; J M Ordovás; J A Madrid; M Garaulet
Journal:  Int J Obes (Lond)       Date:  2013-11-15       Impact factor: 5.095

7.  Gene-nutrition and gene-physical activity interactions in the etiology of obesity. Introduction.

Authors:  Tanya Agurs-Collins; Claude Bouchard
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

8.  Genotype-by-sex-by-diet interactions for nutritional preference, dietary consumption, and lipid deposition in a field cricket.

Authors:  James Rapkin; Kim Jensen; Clarissa M House; Alastair J Wilson; John Hunt
Journal:  Heredity (Edinb)       Date:  2018-08-08       Impact factor: 3.821

Review 9.  Genes and life-style factors in BELFAST nonagenarians: Nature, Nurture and Narrative.

Authors:  Jennifer Nicola M Rea; Ashley Carvalho; Susan E McNerlan; H Denis Alexander; Irene Maeve Rea
Journal:  Biogerontology       Date:  2015-03-14       Impact factor: 4.277

10.  Interaction of dietary fat intake with APOA2, APOA5 and LEPR polymorphisms and its relationship with obesity and dyslipidemia in young subjects.

Authors:  Teresa Domínguez-Reyes; Constanza C Astudillo-López; Lorenzo Salgado-Goytia; José F Muñoz-Valle; Aralia B Salgado-Bernabé; Iris P Guzmán-Guzmán; Natividad Castro-Alarcón; Ma E Moreno-Godínez; Isela Parra-Rojas
Journal:  Lipids Health Dis       Date:  2015-09-13       Impact factor: 3.876

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