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Johansen Taber KA, Dickinson BD. Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes. Appl Clin Genet. 2015;8:1-8doi: 10.2147/TACG.S75583.
Johansen Taber, K. A., & Dickinson, B. D. (2015). Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes. The application of clinical genetics, 81-8. https://doi.org/10.2147/TACG.S75583
Johansen Taber, Katherine A, and Dickinson, Barry D. "Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes." The application of clinical genetics vol. 8 (2015): 1-8. doi: https://doi.org/10.2147/TACG.S75583
Johansen Taber KA, Dickinson BD. Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes. Appl Clin Genet. 2015 Jan 07;8:1-8. doi: 10.2147/TACG.S75583. eCollection 2015. PMID: 25609992; PMCID: PMC4293919.
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Appl Clin Genet. 2015 Jan 07;8:1-8. doi: 10.2147/TACG.S75583. eCollection 2015.

Genomic-based tools for the risk assessment, management, and prevention of type 2 diabetes.

The application of clinical genetics

Katherine A Johansen Taber, Barry D Dickinson

Affiliations

  1. Department of Science and Biotechnology, American Medical Association, Chicago, IL, USA.

PMID: 25609992 PMCID: PMC4293919 DOI: 10.2147/TACG.S75583

Abstract

Type 2 diabetes (T2D) is a common and serious disorder and is a significant risk factor for the development of cardiovascular disease, neuropathy, nephropathy, retinopathy, periodontal disease, and foot ulcers and amputations. The burden of disease associated with T2D has led to an emphasis on early identification of the millions of individuals at high risk so that management and intervention strategies can be effectively implemented before disease progression begins. With increasing knowledge about the genetic basis of T2D, several genomic-based strategies have been tested for their ability to improve risk assessment, management and prevention. Genetic risk scores have been developed with the intent to more accurately identify those at risk for T2D and to potentially improve motivation and adherence to lifestyle modification programs. In addition, evidence is building that oral antihyperglycemic medications are subject to pharmacogenomic variation in a substantial number of patients, suggesting genomics may soon play a role in determining the most effective therapies. T2D is a complex disease that affects individuals differently, and risk prediction and treatment may be challenging for health care providers. Genomic approaches hold promise for their potential to improve risk prediction and tailor management for individual patients and to contribute to better health outcomes for those with T2D.

Keywords: diabetes; genomic; management; risk prediction

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