Commentary 10.1172/JCI131650
1Duke Molecular Physiology Institute, Department of Medicine, Division of Endocrinology, and
2Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: David D’Alessio, 300 N. Duke Street, Duke Molecular Physiology Institute, Division of Endocrinology, Duke University, Durham, North Carolina 27701, USA. Phone: 919.684.5778; Email: david.d’alessio@duke.edu.
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1Duke Molecular Physiology Institute, Department of Medicine, Division of Endocrinology, and
2Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: David D’Alessio, 300 N. Duke Street, Duke Molecular Physiology Institute, Division of Endocrinology, Duke University, Durham, North Carolina 27701, USA. Phone: 919.684.5778; Email: david.d’alessio@duke.edu.
Find articles by Campbell, J. in: JCI | PubMed | Google Scholar
1Duke Molecular Physiology Institute, Department of Medicine, Division of Endocrinology, and
2Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA.
Address correspondence to: David D’Alessio, 300 N. Duke Street, Duke Molecular Physiology Institute, Division of Endocrinology, Duke University, Durham, North Carolina 27701, USA. Phone: 919.684.5778; Email: david.d’alessio@duke.edu.
Find articles by D’Alessio, D. in: JCI | PubMed | Google Scholar
First published September 9, 2019 - More info
Genome-wide association studies (GWAS) have provided a wealth of information on potential disease-associated genes in the human population. In particular, several loci have been associated with type 2 diabetes (T2D). However, due to the complexity of the disease, it has been a challenge to unravel the exact effects of specific loci on T2D pathogenesis. In this issue of the JCI, Keller and colleagues developed a systems genetic approach to identify insulin secretion–associated genes in nondiabetic mice followed by tissue-level and functional phenotyping. Several of the loci identified were syntenic with human T2D-related loci, indicating that this approach may be feasible for discerning genetic variation in nondiabetic individuals that may lead to the development of T2D.
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