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Providing Insight Into Complex Disease: Metabolomics Links Genetic Loci To Phenotype
Author(s) -
Mohney Robert,
Milburn Michael
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.lb292
Subject(s) - metabolomics , disease , computational biology , genome wide association study , omics , precision medicine , biology , systems biology , complex disease , personalized medicine , genomics , bioinformatics , medicine , genetics , genome , single nucleotide polymorphism , gene , pathology , genotype
Metabolomics has emerged as a powerful technology for providing biological insight into disease processes and for identifying biomarkers to diagnose, monitor, and treat disease, in part, because metabolomics provides a highly‐sensitive and real‐time assessment of health status. The utility of metabolomics is further expanded when combined with other 'omics‐based approaches. Integration of metabolomics and GWAS approaches has provided unprecedented insight into how genetic variation influences human metabolism, complex disease, and drug response. This combined GWAS/metabolomics approach has resulted in the generation of a network atlas or metabolic network, including a large number of novel associations, which provides a link between genes and disease phenotype. These results illustrate how metabolomics provides a powerful tool for understanding the molecular events that contribute to disease and help provide the groundwork for personalized medicine approaches that will enable a better understanding of the health status of the individual and their risk for disease.