Literature DB >> 16195369

Nutrigenomics and nutrigenetics: the emerging faces of nutrition.

David M Mutch1, Walter Wahli, Gary Williamson.   

Abstract

The recognition that nutrients have the ability to interact and modulate molecular mechanisms underlying an organism's physiological functions has prompted a revolution in the field of nutrition. Performing population-scaled epidemiological studies in the absence of genetic knowledge may result in erroneous scientific conclusions and misinformed nutritional recommendations. To circumvent such issues and more comprehensively probe the relationship between genes and diet, the field of nutrition has begun to capitalize on both the technologies and supporting analytical software brought forth in the post-genomic era. The creation of nutrigenomics and nutrigenetics, two fields with distinct approaches to elucidate the interaction between diet and genes but with a common ultimate goal to optimize health through the personalization of diet, provide powerful approaches to unravel the complex relationship between nutritional molecules, genetic polymorphisms, and the biological system as a whole. Reluctance to embrace these new fields exists primarily due to the fear that producing overwhelming quantities of biological data within the confines of a single study will submerge the original query; however, the current review aims to position nutrigenomics and nutrigenetics as the emerging faces of nutrition that, when considered with more classical approaches, will provide the necessary stepping stones to achieve the ambitious goal of optimizing an individual's health via nutritional intervention.

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Year:  2005        PMID: 16195369     DOI: 10.1096/fj.05-3911rev

Source DB:  PubMed          Journal:  FASEB J        ISSN: 0892-6638            Impact factor:   5.191


  55 in total

Review 1.  Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biology.

Authors:  Wenjiang J Fu; Arnold J Stromberg; Kert Viele; Raymond J Carroll; Guoyao Wu
Journal:  J Nutr Biochem       Date:  2010-03-16       Impact factor: 6.048

2.  New Approaches to Nutritional Therapy.

Authors:  Mary Koithan; Janae Devika
Journal:  J Nurse Pract       Date:  2010-11       Impact factor: 0.767

Review 3.  Biomarkers in nutritional epidemiology: applications, needs and new horizons.

Authors:  Mazda Jenab; Nadia Slimani; Magda Bictash; Pietro Ferrari; Sheila A Bingham
Journal:  Hum Genet       Date:  2009-04-09       Impact factor: 4.132

4.  Nutritionally improved agricultural crops.

Authors:  Martina Newell-McGloughlin
Journal:  Plant Physiol       Date:  2008-07       Impact factor: 8.340

5.  The challenges for molecular nutrition research 1: linking genotype to healthy nutrition.

Authors:  Christine M Williams; Jose M Ordovas; Dennis Lairon; John Hesketh; Georg Lietz; Mike Gibney; Ben van Ommen
Journal:  Genes Nutr       Date:  2008-07       Impact factor: 5.523

6.  RNA sequencing to study gene expression and SNP variations associated with growth in zebrafish fed a plant protein-based diet.

Authors:  Pilar E Ulloa; Gonzalo Rincón; Alma Islas-Trejo; Cristian Araneda; Patricia Iturra; Roberto Neira; Juan F Medrano
Journal:  Mar Biotechnol (NY)       Date:  2015-02-22       Impact factor: 3.619

Review 7.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

Review 8.  Public health genomics and genetic test evaluation: the challenge of conducting behavioural research on the utility of lifestyle-genetic tests.

Authors:  Saskia C Sanderson; Jane Wardle; Steve E Humphries
Journal:  J Nutrigenet Nutrigenomics       Date:  2008-08-06

9.  Adiponectin gene SNP 276G --> T, nutrient intakes, and cardiovascular disease risk in Korean type 2 DM patients.

Authors:  So Young Yu; Han Kyoung Ryu; Hee Jung Park; Young Ju Choi; Kap Bum Huh; Wha Young Kim
Journal:  Nutr Res Pract       Date:  2007-12-31       Impact factor: 1.926

10.  Nutrigenomic analysis of diet-gene interactions on functional supplements for weight management.

Authors:  Francis C Lau; Manashi Bagchi; Chandan Sen; Sashwati Roy; Debasis Bagchi
Journal:  Curr Genomics       Date:  2008-06       Impact factor: 2.236

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