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Cited by 305

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

The Emerging Genetic Architecture of Type 2 Diabetes

Open access
Doria, Alessandro, Patti, Mary-Elizabeth, Kahn, C. Ronald·2008·Cell Metabolism

Abstract

Type 2 diabetes is a genetically heterogeneous disease, with several relatively rare monogenic forms and a number of more common forms resulting from a complex interaction of genetic and environmental factors. Previous studies using a candidate gene approach, family linkage studies, and gene expression profiling uncovered a number of type 2 genes, but the genetic basis of common type 2 diabetes remained unknown. Recently, a new window has opened on defining potential type 2 diabetes genes through genome-wide SNP association studies of very large populations of individuals with diabetes. This review explores the pathway leading to discovery of these genetic effects, the impact of these genetic loci on diabetes risk, the potential mechanisms of action of the genes to alter glucose homeostasis, and the limitations of these studies in defining the role of genetics in this important disease.

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Crossref · 10.1016/j.cmet.2008.08.006

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Metadata

Authors
Doria, A., Patti, M.-E., & Kahn, C. R.
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2008-09
Volume
8
Issue
3
Pages
186-200
ISSN
1550-4131 (ISSN-L)
OpenAlex
W2100236190
Cited by
305
References
121
FWCI
16.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Emerging Genetic Architecture of Type 2 Diabetes. https://app.cochat.ai/papers/10.1016/j.cmet.2008.08.006
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Doria, A., Patti, M.-E., & Kahn, C. R. (2008). The Emerging Genetic Architecture of Type 2 Diabetes. Cell Metabolism. https://doi.org/10.1016/j.cmet.2008.08.006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.