Personalizing Nutrigenomics Research through Community Based Participatory Research and Omics Technologies
| Autor: | Baitang Ning, Dalia Lovera, Bridgett Green, Henry Nuss, Beverly McCabe-Sellers, Beatrice Shelby Clark, Jim Kaput, Margaret L. Bogle, Candee H. Teitel, Carolyn Wise, Terri Toennessen |
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| Rok vydání: | 2008 |
| Předmět: |
Research design
Gerontology Community-Based Participatory Research medicine.medical_specialty Population Community-based participatory research Disease Biochemistry Nutrigenomics Genetics medicine Humans Genetic Testing United States Department of Agriculture education Molecular Biology Genetic testing education.field_of_study medicine.diagnostic_test Management science Public health Genetic Variation United States Research Design Molecular Medicine Population study Psychology Biotechnology |
| Zdroj: | OMICS: A Journal of Integrative Biology. 12:263-272 |
| ISSN: | 1557-8100 1536-2310 |
| DOI: | 10.1089/omi.2008.0041 |
| Popis: | Personal and public health information are often obtained from studies of large population groups. Risk factors for nutrients, toxins, genetic variation, and more recently, nutrient-gene interactions 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. Because individuals differ in genetic makeup, lifestyle, and dietary patterns than those individuals in the study population, these risk factors are valuable guidelines, but may not apply to individuals. Intervention studies are likewise limited by small sample sizes, short time frames to assess physiological changes, and variable experimental designs that often preclude comparative or consensus analyses. A fundamental challenge for nutrigenomics will be to develop a means to sort individuals into metabolic groups, and eventually, develop risk factors for individuals. To reach the goal of personalizing medicine and nutrition, new experimental strategies are needed for human study designs. A promising approach for more complete analyses of the interaction of genetic makeups and environment relies on community-based participatory research (CBPR) methodologies. CBPR's central focus is developing a partnership among researchers and individuals in a community that allows for more in depth lifestyle analyses but also translational research that simultaneously helps improve the health of individuals and communities. The USDA-ARS Delta Nutrition Intervention Research program exemplifies CBPR providing a foundation for expanded personalized nutrition and medicine research for communities and individuals. |
| Databáze: | OpenAIRE |
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