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Cited by 389

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

The genetics of type 2 diabetes: what have we learned from GWAS?

Open access
Billings, Liana K., Florez, Jose C.·2010·Annals of the New York Academy of Sciences

Abstract

Type 2 diabetes mellitus has been at the forefront of human diseases and phenotypes studied by new genetic analyses. Thanks to genome‐wide association studies, we have made substantial progress in elucidating the genetic basis of type 2 diabetes. This review summarizes the concept, history, and recent discoveries produced by genome‐wide association studies for type 2 diabetes and glycemic traits, with a focus on the key notions we have gleaned from these efforts. Genome‐wide association findings have illustrated novel pathways, pointed toward fundamental biology, confirmed prior epidemiological observations, drawn attention to the role of β‐cell dysfunction in type 2 diabetes, explained ∼10% of disease heritability, tempered our expectations with regard to their use in clinical prediction, and provided possible targets for pharmacotherapy and pharmacogenetic clinical trials. We can apply these lessons to future investigation so as to improve our understanding of the genetic basis of type 2 diabetes.

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Crossref · 10.1111/j.1749-6632.2010.05838.x

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Metadata

Authors
Billings, L. K., & Florez, J. C.
Venue
Annals of the New York Academy of Sciences
Publisher
Wiley
Published
2010-11
Volume
1212
Issue
1
Pages
59-77
ISSN
  • 0077-8923 (ISSN-L)
  • 1749-6632
OpenAlex
W2142322476
Cited by
389
References
36
FWCI
20.29
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The genetics of type 2 diabetes: what have we learned from GWAS? https://app.cochat.ai/papers/10.1111/j.1749-6632.2010.05838.x
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Billings, L. K., & Florez, J. C. (2010). The genetics of type 2 diabetes: what have we learned from GWAS? Annals of the New York Academy of Sciences. https://doi.org/10.1111/j.1749-6632.2010.05838.x

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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.