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.
Keywords
Database
Nutrigenomics
Nutritional phenotype
Authors & Affiliations
17 authors, click to expand affiliations / ORCID
van Ommen Ben
Bouwman Jildau
Dragsted Lars O
Drevon Christian A
Elliott Ruan
de Groot Philip
Kaput Jim
Mathers John C
Müller Michael
Pepping Fre
Saito Jahn
Scalbert Augustin
Radonjic Marijana
Rocca-Serra Philippe
Travis Anthony
Wopereis Suzan
Evelo Chris T
References (36)
36 references, click to expand
-
Genetics of gene expression and its effect on disease.
Nature. 2008 Mar 27;452(7186):423-8
PMID: 18344981
-
The first RSBI (ISA-TAB) workshop: "can a simple format work for complex studies?".
OMICS. 2008 Jun;12(2):143-9
PMID: 18447634
-
Bioinformatics for the NuGO proof of principle study: analysis of gene expression in muscle of ApoE3*Leiden mice on a high-fat diet using PathVisio.
Genes Nutr. 2008 Dec;3(3-4):185-91
PMID: 19034557
-
Defining best practice for microarray analyses in nutrigenomic studies.
Br J Nutr. 2005 Apr;93(4):425-32
PMID: 15946403
-
NuGO contributions to GenePattern.
Genes Nutr. 2008 Dec;3(3-4):143-6
PMID: 19034553
-
The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports.
BMC Med Genet. 2007;8 Suppl 1:S1
PMID: 17903291
-
The nutritional phenotype in the age of metabolomics.
J Nutr. 2005 Jul;135(7):1613-6
PMID: 15987837
-
Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.
Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50
PMID: 16199517
-
PRIDE: the proteomics identifications database.
Proteomics. 2005 Aug;5(13):3537-45
PMID: 16041671
-
Susceptibility of human metabolic phenotypes to dietary modulation.
J Proteome Res. 2006 Oct;5(10):2780-8
PMID: 17022649
-
Evidence of different metabolic phenotypes in humans.
Proc Natl Acad Sci U S A. 2008 Feb 5;105(5):1420-4
PMID: 18230739
-
Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project.
Nat Biotechnol. 2008 Aug;26(8):889-96
PMID: 18688244
-
ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.
Environ Health Perspect. 2003 Nov;111(15):1819-26
PMID: 14630514
-
Cytoscape: a community-based framework for network modeling.
Methods Mol Biol. 2009;563:219-39
PMID: 19597788
-
Antioxidant supplements for prevention of mortality in healthy participants and patients with various diseases.
Cochrane Database Syst Rev. 2008 Apr 16;(2):CD007176
PMID: 18425980
-
The NCBI dbGaP database of genotypes and phenotypes.
Nat Genet. 2007 Oct;39(10):1181-6
PMID: 17898773
-
Human metabolic phenotype diversity and its association with diet and blood pressure.
Nature. 2008 May 15;453(7193):396-400
PMID: 18425110
-
The case for strategic international alliances to harness nutritional genomics for public and personal health.
Br J Nutr. 2005 Nov;94(5):623-32
PMID: 16277761
-
Human Variome Project: an international collaboration to catalogue human genetic variation.
Pharmacogenomics. 2006 Oct;7(7):969-72
PMID: 17054407
-
Biobanking for Europe.
Brief Bioinform. 2008 Jan;9(1):14-24
PMID: 17959611
-
Individual human phenotypes in metabolic space and time.
J Proteome Res. 2009 Sep;8(9):4264-71
PMID: 19527021
-
The metabolomics standards initiative.
Nat Biotechnol. 2007 Aug;25(8):846-8
PMID: 17687353
-
Metabolic profiling of the human response to a glucose challenge reveals distinct axes of insulin sensitivity.
Mol Syst Biol. 2008;4:214
PMID: 18682704
-
GenePattern 2.0.
Nat Genet. 2006 May;38(5):500-1
PMID: 16642009
-
MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data.
Genome Biol. 2003;4(1):R7
PMID: 12540299
-
What is health? The ability to adapt.
Lancet. 2009 Mar 7;373(9666):781
PMID: 19269498
-
Petabyte-scale innovations at the European Nucleotide Archive.
Nucleic Acids Res. 2009 Jan;37(Database issue):D19-25
PMID: 18978013
-
Session 2: Personalised nutrition. Epigenomics: a basis for understanding individual differences?
Proc Nutr Soc. 2008 Nov;67(4):390-4
PMID: 18847515
-
Mining biological pathways using WikiPathways web services.
PLoS One. 2009 Jul 30;4(7):e6447
PMID: 19649250
-
Owner controlled data exchange in nutrigenomic collaborations: the NuGO information network.
Genes Nutr. 2009 Jun;4(2):113-22
PMID: 19408032
-
ArrayExpress--a public repository for microarray gene expression data at the EBI.
Nucleic Acids Res. 2003 Jan 1;31(1):68-71
PMID: 12519949
-
The complex links between dietary phytochemicals and human health deciphered by metabolomics.
Mol Nutr Food Res. 2009 Oct;53(10):1303-15
PMID: 19764066
-
Urinary flavonoids and phenolic acids as biomarkers of intake for polyphenol-rich foods.
Br J Nutr. 2006 Jul;96(1):191-8
PMID: 16870009
-
The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping services.
BMC Bioinformatics. 2010 Jan 04;11:5
PMID: 20047655
-
DNA methylomes, histone codes and miRNAs: tying it all together.
Int J Biochem Cell Biol. 2009 Jan;41(1):87-95
PMID: 18834952
-
A variant of the gene encoding leukotriene A4 hydrolase confers ethnicity-specific risk of myocardial infarction.
Nat Genet. 2006 Jan;38(1):68-74
PMID: 16282974