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Tokarz, J. ; Haid, M. ; Cecil, A. ; Prehn, C. ; Artati, A. ; Möller, G. ; Adamski, J.

Endocrinology meets metabolomics: Achievements, pitfalls, and challenges.

Trends Endocrinol. Metab. 28, 705-721 (2017)
Postprint DOI PMC
Open Access Green
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
Korrespondenzautor
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
ISSN (print) / ISBN 1043-2760
e-ISSN 1879-3061
Zeitschrift Trends in Endocrinology and Metabolism
Quellenangaben Band: 28, Heft: 10, Seiten: 705-721 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort London
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Molekulare Endokrinologie und Metabolismus (MEM)