ArticleGenes & nutrition2010
Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies.
Article in Genes & nutrition, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Multifaceted human gut microbiome data associated with health and nutrition.Frontiers in microbiology · 2026Review
- Challenges in Personalized Nutrition and Health.Frontiers in nutrition · 2018Article
- Review
- Perspective: Essential Study Quality Descriptors for Data from Nutritional Epidemiologic Research.Advances in nutrition (Bethesda, Md.) · 2017Review
- Systems biology of personalized nutrition.Nutrition reviews · 2017Review
- Propelling the paradigm shift from reductionism to systems nutrition.Genes & nutrition · 2017Article
- Ayurnutrigenomics: Ayurveda-inspired personalized nutrition from inception to evidence.Journal of traditional and complementary medicine · 2015Review
- Human nutrition, environment, and health.Genes & nutrition · 2015Article
- Automatically visualise and analyse data on pathways using PathVisioRPC from any programming environment.BMC bioinformatics · 2015Article
- The genomics of micronutrient requirements.Genes & nutrition · 2015Article
- A software tool for the input and management of phenotypic data using personal digital assistants and other mobile devices.Plant methods · 2015Article
- Strategies for individual phenotyping of linoleic and arachidonic acid metabolism using an oral glucose tolerance test.PloS one · 2015Article
- Translational genomics.Applied & translational genomics · 2014Review
- Nutri-informatics: a new kid on the block?Genes & nutrition · 2014Article
- Nutritional phenotype databases and integrated nutrition: from molecules to populations.Advances in nutrition (Bethesda, Md.) · 2014Review
- Vitamin C supplementation modulates gene expression in peripheral blood mononuclear cells specifically upon an inflammatory stimulus: a pilot study in healthy subjects.Genes & nutrition · 2014Article
- Consensus statement understanding health and malnutrition through a systems approach: the ENOUGH program for early life.Genes & nutrition · 2014Article
- User-friendly solutions for microarray quality control and pre-processing on ArrayAnalysis.org.Nucleic acids research · 2013Article
- Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype-phenotype relationships and its relevance to crop improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Review
- Review
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The challenge of modern nutrition and health research is to identify food-based strategies promoting life-long optimal health and well-being. This research is complex because it exploits a multitude of bioactive compounds acting on an extensive network of interacting processes. Whereas nutrition research can profit enormously from the revolution in 'omics' technologies, it has discipline-specific requirements for analytical and bioinformatic procedures. In addition to measurements of the parameters of interest (measures of health), extensive description of the subjects of study and foods or diets consumed is central for describing the nutritional phenotype. We propose and pursue an infrastructural activity of constructing the "Nutritional Phenotype database" (dbNP). When fully developed, dbNP will be a research and collaboration tool and a publicly available data and knowledge repository. Creation and implementation of the dbNP will maximize benefits to the research community by enabling integration and interrogation of data from multiple studies, from different research groups, different countries and different-omics levels. The dbNP is designed to facilitate storage of biologically relevant, pre-processed-omics data, as well as study descriptive and study participant phenotype data. It is also important to enable the combination of this information at different levels (e.g. to facilitate linkage of data describing participant phenotype, genotype and food intake with information on study design and-omics measurements, and to combine all of this with existing knowledge). The biological information stored in the database (i.e. genetics, transcriptomics, proteomics, biomarkers, metabolomics, functional assays, food intake and food composition) is tailored to nutrition research and embedded in an environment of standard procedures and protocols, annotations, modular data-basing, networking and integrated bioinformatics. The dbNP is an evolving enterprise, which is only sustainable if it is accepted and adopted by the wider nutrition and health research community as an open source, pre-competitive and publicly available resource where many partners both can contribute and profit from its developments. We introduce the Nutrigenomics Organisation (NuGO, http://www.nugo.org) as a membership association responsible for establishing and curating the dbNP. Within NuGO, all efforts related to dbNP (i.e. usage, coordination, integration, facilitation and maintenance) will be directed towards a sustainable and federated infrastructure.
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