A Decade of Genetic and Metabolomic Contributions to Type 2 Diabetes Risk Prediction.
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Abstract | PURPOSE OF REVIEW: The purpose of this review was to summarize and reflect on advances over the past decade in human genetic and metabolomic discovery with particular focus on their contributions to type 2 diabetes (T2D) risk prediction. RECENT FINDINGS: In the past 10 years, a combination of advances in genotyping efficiency, metabolomic profiling, bioinformatics approaches, and international collaboration have moved T2D genetics and metabolomics from a state of frustration to an abundance of new knowledge. Efforts to control and prevent T2D have failed to stop this global epidemic. New approaches are needed, and although neither genetic nor metabolomic profiling yet have a clear clinical role, the rapid pace of accumulating knowledge offers the possibility for "multi-omic" prediction to improve health. |
Year of Publication | 2017
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Journal | Curr Diab Rep
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Volume | 17
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Issue | 12
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Pages | 135
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Date Published | 2017 Nov 04
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ISSN | 1539-0829
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DOI | 10.1007/s11892-017-0958-0
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PubMed ID | 29103096
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PubMed Central ID | PMC5817914
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Grant list | K24 DK080140 / DK / NIDDK NIH HHS / United States
L30 DK106874 / DK / NIDDK NIH HHS / United States
U01 DK078616 / DK / NIDDK NIH HHS / United States
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