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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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
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
Keywords plus
Sprache
Veröffentlichungsjahr
2017
Prepublished im Jahr
HGF-Berichtsjahr
2017
ISSN (print) / ISBN
1043-2760
e-ISSN
1879-3061
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 28,
Heft: 10,
Seiten: 705-721
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
London
Tag d. mündl. Prüfung
0000-00-00
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Gutachter
Prüfer
Topic
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Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
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Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Molekulare Endokrinologie und Metabolismus (MEM)
POF Topic(s)
30201 - Metabolic Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-505600-003
Förderungen
Copyright
Erfassungsdatum
2017-09-13