Literature DB >> 27561922

Toward Precision Medicine: TBC1D4 Disruption Is Common Among the Inuit and Leads to Underdiagnosis of Type 2 Diabetes.

Despoina Manousaki1,2, Jack W Kent3, Karin Haack3, Sirui Zhou4,5, Pingxing Xie4,6, Celia M Greenwood1,2,7, Paul Brassard1,4, Deborah E Newman3, Shelley Cole3, Jason G Umans8,9, Guy Rouleau2,6,10, Anthony G Comuzzie3, J Brent Richards11,2,4,12.   

Abstract

OBJECTIVE: A common nonsense mutation in TBC1D4 was recently found to substantially increase the odds of type 2 diabetes in Greenlandic Inuit, leading to exclusively increased postprandial glucose. We investigated the frequency and effect of the TBC1D4 mutation on glucose metabolism and type 2 diabetes diagnosis among Canadian and Alaskan Inuit. RESEARCH DESIGN AND METHODS: Exome sequencing of the TBC1D4 variant was performed in 114 Inuit from Nunavik, Canada, and Sanger sequencing was undertaken in 1,027 Alaskan Inuit from the Genetics of Coronary Artery Disease in Alaskan Natives (GOCADAN) Study. Association testing evaluated the effect of the TBC1D4 variant on diabetes-related metabolic traits and diagnosis.
RESULTS: The TBC1D4 mutation was present in 27% of Canadian and Alaskan Inuit. It was strongly associated with higher glucose (effect size +3.3 mmol/L; P = 2.5 x 10-6) and insulin (effect size +175 pmol/L; P = 0.04) 2 h after an oral glucose load in homozygote carriers. TBC1D4 carriers with prediabetes and type 2 diabetes had an increased risk of remaining undiagnosed unless postprandial glucose values were tested (odds ratio 5.4 [95% CI 2.5-12]) compared with noncarriers. Of carriers with prediabetes or type 2 diabetes, 32% would remain undiagnosed without an oral glucose tolerance test (OGTT).
CONCLUSIONS: Disruption of TBC1D4 is common among North American Inuit, resulting in exclusively elevated postprandial glucose. This leads to underdiagnosis of type 2 diabetes, unless an OGTT is performed. Accounting for genetic factors in the care of Inuit with diabetes provides an opportunity to implement precision medicine in this population.
© 2016 by the American Diabetes Association.

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Year:  2016        PMID: 27561922     DOI: 10.2337/dc16-0769

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  16 in total

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3.  Diabetes care in the dispersed population of Greenland. A new model based on continued monitoring, analysis and adjustment of initiatives taken.

Authors:  Michael Lynge Pedersen
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Review 6.  The aetiology and molecular landscape of insulin resistance.

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Review 7.  Precision Diabetes Is Slowly Becoming a Reality.

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Review 8.  Genetic architecture: the shape of the genetic contribution to human traits and disease.

Authors:  Nicholas J Timpson; Celia M T Greenwood; Nicole Soranzo; Daniel J Lawson; J Brent Richards
Journal:  Nat Rev Genet       Date:  2017-12-11       Impact factor: 53.242

9.  The Impact of Precision Medicine in Diabetes: A Multidimensional Perspective.

Authors:  Stephen S Rich; William T Cefalu
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10.  Mining the Genome for Therapeutic Targets.

Authors:  Jose C Florez
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