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Endocrinology meets metabolomics: Achievements, pitfalls, and challenges.
Trends Endocrinol. Metab. 28, 705-721 (2017)
The metabolome, although very dynamic, is sufficiently stable to provide specific quantitative traits related to health and disease. Metabolomics requires balanced use of state-of-the-art study design, chemical analytics, biostatistics, and bioinformatics to deliver meaningful answers to contemporary questions in human disease research. The technology is now frequently employed for biomarker discovery and for elucidating the mechanisms underlying endocrine-related diseases. Metabolomics has also enriched genome-wide association studies (GWAS) in this area by providing functional data. The contributions of rare genetic variants to metabolome variance and to the human phenotype have been underestimated until now.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Gwas ; Biostatistics ; Endocrinology ; Genomics ; Mass Spectrometry ; Metabolomics; Reveals Potential Biomarkers; Polyunsaturated Fatty-acids; Type-2 Diabetes-mellitus; Genome-wide Association; Human Blood Metabolites; Negative Breast-cancer; Ovarian Endometriosis; Childhood Obesity; Multivariate-analysis; Missing Heritability
ISSN (print) / ISBN
1043-2760
e-ISSN
1879-3061
Quellenangaben
Volume: 28,
Issue: 10,
Pages: 705-721
Publisher
Elsevier
Publishing Place
London
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Molekulare Endokrinologie und Metabolismus (MEM)