Biomarkers for predicting type 2 diabetes development-Can metabolomics improve on existing biomarkers?
Journal article, 2017
The aim was to determine if metabolomics could be used to build a predictive model for type 2 diabetes (T2D) risk that would improve prediction of T2D over current risk markers.
Author
Otto Savolainen
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Björn Fagerberg
University of Gothenburg
Mads Vendelbo Lind
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Ann-Sofie Sandberg
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Alastair Ross
Chalmers, Biology and Biological Engineering, Food and Nutrition Science
Göran Bergström
University of Gothenburg
PLoS ONE
1932-6203 (ISSN) 19326203 (eISSN)
Vol. 12 7 e0177738- e0177738Subject Categories
Endocrinology and Diabetes
Clinical Medicine
Nutrition and Dietetics
Infrastructure
Chalmers Infrastructure for Mass spectrometry
Roots
Basic sciences
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.1371/journal.pone.0177738
PubMed
28692646