Connecting the Human Variome Project to nutrigenomics

被引:0
作者
Jim Kaput
Chris T. Evelo
Giuditta Perozzi
Ben van Ommen
Richard Cotton
机构
[1] FDA/National Center for Toxicological Research,Division of Personalised Nutrition and Medicine
[2] Maastricht University,Department of Bioinformatics (BiGCaT)
[3] INRAN—National Research Institute on Food & Nutrition,undefined
[4] TNO Quality of Life,undefined
[5] Genomic Disorders Research Centre,undefined
来源
Genes & Nutrition | 2010年 / 5卷
关键词
Nutrigenomics; Human Variome Project; Harmonization;
D O I
暂无
中图分类号
学科分类号
摘要
Nutrigenomics is the science of analyzing and understanding gene–nutrient interactions, which because of the genetic heterogeneity, varying degrees of interaction among gene products, and the environmental diversity is a complex science. Although much knowledge of human diversity has been accumulated, estimates suggest that ~90% of genetic variation has not yet been characterized. Identification of the DNA sequence variants that contribute to nutrition-related disease risk is essential for developing a better understanding of the complex causes of disease in humans, including nutrition-related disease. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) is an international effort to systematically identify genes, their mutations, and their variants associated with phenotypic variability and indications of human disease or phenotype. Since nutrigenomic research uses genetic information in the design and analysis of experiments, the HVP is an essential collaborator for ongoing studies of gene–nutrient interactions. With the advent of next generation sequencing methodologies and the understanding of the undiscovered variation in human genomes, the nutrigenomic community will be generating novel sequence data and results. The guidelines and practices of the HVP can guide and harmonize these efforts.
引用
收藏
页码:275 / 283
页数:8
相关论文
共 912 条
  • [1] Al-Sukhni W(2008)Germline copy number variation in control populations Cytogenet Genome Res 123 211-223
  • [2] Gallinger S(2010)Integrating common and rare genetic variation in diverse human populations Nature 467 52-58
  • [3] Altshuler DM(2009)Database mining for selection of SNP markers useful in admixture mapping BioData Min 2 1-59
  • [4] Gibbs RA(2008)Accurate whole human genome sequencing using reversible terminator chemistry Nature 456 53-1027
  • [5] Peltonen L(2006)Bioethics in human nutrigenomics research: European nutrigenomics organisation workshop report Br J Nutr 95 1024-467
  • [6] Dermitzakis E(2008)Bioethical considerations for human nutrigenomics Annu Rev Nutr 28 447-1674
  • [7] Schaffner SF(2007)Grand challenges in global health: engaging civil society organizations in biomedical research in developing countries PLoS Med 4 e272-98
  • [8] Yu F(2009)The clinseq project: piloting large-scale genome sequencing for research in genomic medicine Genome Res 19 1665-98
  • [9] Bonnen PE(2001)Consanguinity and its relevance to clinical genetics Clin Genet 60 89-425
  • [10] de Bakker PI(2002)Endogamy, consanguinity and community genetics J Genet 81 91-796