Literature DB >> 18387295

Nutrigenomics research for personalized nutrition and medicine.

Jim Kaput1.   

Abstract

Current nutritional and genetic epidemiological methods yield 'risk factors' on the basis of population studies. Risk factors, however, are statistical estimates of the percentage reduction in disease in the population if the risk were to be avoided or the gene variant were not present. These measures are often assumed to apply to individuals who are likely to differ in genetic make-up, lifestyle, and dietary patterns than to the individuals in the study population. Developing individual risk factors in light of the genetic diversity of human populations, the complexity of foods, culture and lifestyle, and the variety of metabolic processes that lead to health or disease is a significant challenge for personalizing dietary advice for healthy or individuals with chronic disease.

Entities:  

Mesh:

Year:  2008        PMID: 18387295     DOI: 10.1016/j.copbio.2008.02.005

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  25 in total

1.  Responsiveness of cardiometabolic-related microbiota to diet is influenced by host genetics.

Authors:  Annalouise O'Connor; Pamela M Quizon; Jody E Albright; Fred T Lin; Brian J Bennett
Journal:  Mamm Genome       Date:  2014-08-27       Impact factor: 2.957

Review 2.  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

3.  Methylation potential associated with diet, genotype, protein, and metabolite levels in the Delta Obesity Vitamin Study.

Authors:  Jacqueline Pontes Monteiro; Carolyn Wise; Melissa J Morine; Candee Teitel; Lisa Pence; Anna Williams; Beverly McCabe-Sellers; Catherine Champagne; Jerome Turner; Beatrice Shelby; Baitang Ning; Joan Oguntimein; Lauren Taylor; Terri Toennessen; Corrado Priami; Richard D Beger; Margaret Bogle; Jim Kaput
Journal:  Genes Nutr       Date:  2014-04-24       Impact factor: 5.523

Review 4.  Nutrigenetics and nutrigenomics: viewpoints on the current status and applications in nutrition research and practice.

Authors:  Michael Fenech; Ahmed El-Sohemy; Leah Cahill; Lynnette R Ferguson; Tapaeru-Ariki C French; E Shyong Tai; John Milner; Woon-Puay Koh; Lin Xie; Michelle Zucker; Michael Buckley; Leah Cosgrove; Trevor Lockett; Kim Y C Fung; Richard Head
Journal:  J Nutrigenet Nutrigenomics       Date:  2011-05-28

5.  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

6.  Concept mapping One-Carbon Metabolism to model future ontologies for nutrient-gene-phenotype interactions.

Authors:  A C Joslin; R Green; J B German; M C Lange
Journal:  Genes Nutr       Date:  2014-08-05       Impact factor: 5.523

7.  Unraveling human complexity and disease with systems biology and personalized medicine.

Authors:  Stephen Naylor; Jake Y Chen
Journal:  Per Med       Date:  2010-05       Impact factor: 2.512

8.  An update on the strategies in multicomponent activity monitoring within the phytopharmaceutical field.

Authors:  Johanna M Gostner; Oliver A Wrulich; Marcel Jenny; Dietmar Fuchs; Florian Ueberall
Journal:  BMC Complement Altern Med       Date:  2012-03-14       Impact factor: 3.659

9.  Connecting the Human Variome Project to nutrigenomics.

Authors:  Jim Kaput; Chris T Evelo; Giuditta Perozzi; Ben van Ommen; Richard Cotton
Journal:  Genes Nutr       Date:  2010-10-15       Impact factor: 5.523

10.  After the revolution? Ethical and social challenges in 'personalized genomic medicine'

Authors:  Eric T Juengst; Richard A Settersten; Jennifer R Fishman; Michelle L McGowan
Journal:  Per Med       Date:  2012-06-01       Impact factor: 2.512

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