Literature DB >> 22498248

Is genetic testing useful to predict type 2 diabetes?

Jason L Vassy1, James B Meigs.   

Abstract

The early identification of individuals at risk for type 2 diabetes (T2D) enables prevention. Recent genome-wide association studies (GWAS) have added at least 40 genetic variants to the list of already well characterized T2D risk predictors, including family history, obesity, and elevated fasting plasma glucose levels. Although these variants can significantly predict T2D alone and as a part of genotype risk scores, they do not yet offer clinical discrimination beyond that achieved with common clinical measurements. Future progress on at least two research fronts may improve the predictive performance of genotype information. First, expanded GWAS efforts in non-European populations will allow targeted sequencing of risk loci and the identification of true causal variants. Second, studies with longer prediction time horizons may demonstrate that genotype information performs better than clinical risk predictors over a longer period of the life course. At present, however, genetic testing cannot be recommended for clinical T2D risk prediction in adults.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22498248      PMCID: PMC4070012          DOI: 10.1016/j.beem.2011.09.002

Source DB:  PubMed          Journal:  Best Pract Res Clin Endocrinol Metab        ISSN: 1521-690X            Impact factor:   4.690


  77 in total

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Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

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Journal:  Diabetologia       Date:  1999-02       Impact factor: 10.122

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Authors:  Ruth J F Loos
Journal:  Nat Rev Endocrinol       Date:  2011-05       Impact factor: 43.330

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Authors:  James O Hill; Holly R Wyatt; George W Reed; John C Peters
Journal:  Science       Date:  2003-02-07       Impact factor: 47.728

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Journal:  Eur Heart J       Date:  2007-10-09       Impact factor: 29.983

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Authors:  Raluca Mihaescu; James Meigs; Eric Sijbrands; A Cecile Janssens
Journal:  PLoS Curr       Date:  2011-01-11
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  27 in total

1.  Genetic-risk assessment of GWAS-derived susceptibility loci for type 2 diabetes in a 10 year follow-up of a population-based cohort study.

Authors:  Min Jin Go; Young Lee; Suyeon Park; Soo Heon Kwak; Bong-Jo Kim; Juyoung Lee
Journal:  J Hum Genet       Date:  2016-07-21       Impact factor: 3.172

Review 2.  The potential of novel biomarkers to improve risk prediction of type 2 diabetes.

Authors:  Christian Herder; Bernd Kowall; Adam G Tabak; Wolfgang Rathmann
Journal:  Diabetologia       Date:  2014-01       Impact factor: 10.122

3.  HLA alleles may serve as a tool to discriminate atypical type 2 diabetic patients.

Authors:  Mariana Fernández; Matías Fabregat; Gerardo Javiel; Adriana Mimbacas
Journal:  World J Diabetes       Date:  2014-10-15

4.  Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score.

Authors:  Soo Heon Kwak; Sung Hee Choi; Kyunga Kim; Hye Seung Jung; Young Min Cho; Soo Lim; Nam H Cho; Seong Yeon Kim; Kyong Soo Park; Hak C Jang
Journal:  Diabetologia       Date:  2013-09-22       Impact factor: 10.122

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Authors:  M Nishigaki; Y Tokunaga-Nakawatase; J Nishida; K Kazuma
Journal:  J Genet Couns       Date:  2014-01-08       Impact factor: 2.537

6.  Racialized Risk in Clinical Care: Clinician Vigilance and Patient Responsibility.

Authors:  Hannah S Bell; Funmi Odumosu; Anna C Martinez-Hume; Heather A Howard; Linda M Hunt
Journal:  Med Anthropol       Date:  2018-06-18

7.  What is the role for biomarkers for lower urinary tract disorders? ICI-RS 2013.

Authors:  Christopher H Fry; Arun Sahai; Bahareh Vahabi; Anthony J Kanai; Lori A Birder
Journal:  Neurourol Urodyn       Date:  2014-01-16       Impact factor: 2.696

Review 8.  Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future.

Authors:  Erik Ingelsson; Mark I McCarthy
Journal:  Circ Genom Precis Med       Date:  2018-06

Review 9.  Susceptibility to type 2 diabetes mellitus--from genes to prevention.

Authors:  Marie-France Hivert; Jason L Vassy; James B Meigs
Journal:  Nat Rev Endocrinol       Date:  2014-02-18       Impact factor: 43.330

10.  Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study.

Authors:  Martine Vaxillaire; Loïc Yengo; Stéphane Lobbens; Ghislain Rocheleau; Elodie Eury; Olivier Lantieri; Michel Marre; Beverley Balkau; Amélie Bonnefond; Philippe Froguel
Journal:  Diabetologia       Date:  2014-06-04       Impact factor: 10.122

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