Literature DB >> 28283684

Pharmacogenetics in type 2 diabetes: precision medicine or discovery tool?

Jose C Florez1,2,3,4,5.   

Abstract

In recent years, technological and analytical advances have led to an explosion in the discovery of genetic loci associated with type 2 diabetes. However, their ability to improve prediction of disease outcomes beyond standard clinical risk factors has been limited. On the other hand, genetic effects on drug response may be stronger than those commonly seen for disease incidence. Pharmacogenetic findings may aid in identifying new drug targets, elucidate pathophysiology, unravel disease heterogeneity, help prioritise specific genes in regions of genetic association, and contribute to personalised or precision treatment. In diabetes, precedent for the successful application of pharmacogenetic concepts exists in its monogenic subtypes, such as MODY or neonatal diabetes. Whether similar insights will emerge for the much more common entity of type 2 diabetes remains to be seen. As genetic approaches advance, the progressive deployment of candidate gene, large-scale genotyping and genome-wide association studies has begun to produce suggestive results that may transform clinical practice. However, many barriers to the translation of diabetes pharmacogenetic discoveries to the clinic still remain. This perspective offers a contemporary overview of the field with a focus on sulfonylureas and metformin, identifies the major uses of pharmacogenetics, and highlights potential limitations and future directions.

Entities:  

Keywords:  Genome-wide association studies; Metformin; Pharmacogenetics; Review; Single nucleotide polymorphisms; Sulfonylureas; TCF7L2; Type 2 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28283684     DOI: 10.1007/s00125-017-4227-1

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  57 in total

1.  Evidence that metformin exerts its anti-diabetic effects through inhibition of complex 1 of the mitochondrial respiratory chain.

Authors:  M R Owen; E Doran; A P Halestrap
Journal:  Biochem J       Date:  2000-06-15       Impact factor: 3.857

2.  The type 2 diabetes presumed causal variant within TCF7L2 resides in an element that controls the expression of ACSL5.

Authors:  Qianghua Xia; Alessandra Chesi; Elisabetta Manduchi; Brian T Johnston; Sumei Lu; Michelle E Leonard; Ursula W Parlin; Eric F Rappaport; Peng Huang; Andrew D Wells; Gerd A Blobel; Matthew E Johnson; Struan F A Grant
Journal:  Diabetologia       Date:  2016-08-18       Impact factor: 10.122

3.  The Anti-diabetic drugs rosiglitazone and metformin stimulate AMP-activated protein kinase through distinct signaling pathways.

Authors:  Lee G D Fryer; Asha Parbu-Patel; David Carling
Journal:  J Biol Chem       Date:  2002-05-06       Impact factor: 5.157

4.  Association of Organic Cation Transporter 1 With Intolerance to Metformin in Type 2 Diabetes: A GoDARTS Study.

Authors:  Tanja Dujic; Kaixin Zhou; Louise A Donnelly; Roger Tavendale; Colin N A Palmer; Ewan R Pearson
Journal:  Diabetes       Date:  2014-12-15       Impact factor: 9.461

5.  The T allele of rs7903146 TCF7L2 is associated with impaired insulinotropic action of incretin hormones, reduced 24 h profiles of plasma insulin and glucagon, and increased hepatic glucose production in young healthy men.

Authors:  K Pilgaard; C B Jensen; J H Schou; V Lyssenko; L Wegner; C Brøns; T Vilsbøll; T Hansen; S Madsbad; J J Holst; A Vølund; P Poulsen; L Groop; O Pedersen; A A Vaag
Journal:  Diabetologia       Date:  2009-03-14       Impact factor: 10.122

6.  Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes.

Authors:  Anna L Gloyn; Ewan R Pearson; Jennifer F Antcliff; Peter Proks; G Jan Bruining; Annabelle S Slingerland; Neville Howard; Shubha Srinivasan; José M C L Silva; Janne Molnes; Emma L Edghill; Timothy M Frayling; I Karen Temple; Deborah Mackay; Julian P H Shield; Zdenek Sumnik; Adrian van Rhijn; Jerry K H Wales; Penelope Clark; Shaun Gorman; Javier Aisenberg; Sian Ellard; Pål R Njølstad; Frances M Ashcroft; Andrew T Hattersley
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

7.  Activating mutations in the ABCC8 gene in neonatal diabetes mellitus.

Authors:  Andrey P Babenko; Michel Polak; Hélène Cavé; Kanetee Busiah; Paul Czernichow; Raphael Scharfmann; Joseph Bryan; Lydia Aguilar-Bryan; Martine Vaxillaire; Philippe Froguel
Journal:  N Engl J Med       Date:  2006-08-03       Impact factor: 91.245

8.  Common variants in 40 genes assessed for diabetes incidence and response to metformin and lifestyle intervention in the diabetes prevention program.

Authors:  Kathleen A Jablonski; Jarred B McAteer; Paul I W de Bakker; Paul W Franks; Toni I Pollin; Robert L Hanson; Richa Saxena; Sarah Fowler; Alan R Shuldiner; William C Knowler; David Altshuler; Jose C Florez
Journal:  Diabetes       Date:  2010-08-03       Impact factor: 9.461

9.  Variants in Pharmacokinetic Transporters and Glycemic Response to Metformin: A Metgen Meta-Analysis.

Authors:  T Dujic; K Zhou; S W Yee; N van Leeuwen; C E de Keyser; M Javorský; S Goswami; L Zaharenko; M M Hougaard Christensen; M Out; R Tavendale; M Kubo; M M Hedderson; A A van der Heijden; L Klimčáková; V Pirags; A Kooy; K Brøsen; J Klovins; S Semiz; I Tkáč; B H Stricker; Cna Palmer; L M 't Hart; K M Giacomini; E R Pearson
Journal:  Clin Pharmacol Ther       Date:  2017-02-03       Impact factor: 6.875

10.  Ser1369Ala variant in sulfonylurea receptor gene ABCC8 is associated with antidiabetic efficacy of gliclazide in Chinese type 2 diabetic patients.

Authors:  Yan Feng; Guangyun Mao; Xiaowei Ren; Houxun Xing; Genfu Tang; Qiang Li; Xueqi Li; Lirong Sun; Jinqui Yang; Weiqing Ma; Xiaobin Wang; Xiping Xu
Journal:  Diabetes Care       Date:  2008-07-03       Impact factor: 17.152

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  23 in total

Review 1.  The pharmacogenetics of metformin.

Authors:  Jose C Florez
Journal:  Diabetologia       Date:  2017-08-03       Impact factor: 10.122

2.  Precision diabetes: a realistic outlook on a promising approach.

Authors:  Sally M Marshall
Journal:  Diabetologia       Date:  2017-05       Impact factor: 10.122

Review 3.  Interdisciplinary approach to compensation of hypoglycemia in diabetic patients with chronic heart failure.

Authors:  Yana Anfinogenova; Elena V Grakova; Maria Shvedova; Kristina V Kopieva; Alexander T Teplyakov; Sergey V Popov
Journal:  Heart Fail Rev       Date:  2018-05       Impact factor: 4.214

4.  The pharmacoepigenomics informatics pipeline defines a pathway of novel and known warfarin pharmacogenomics variants.

Authors:  Ari Allyn-Feuer; Alex Ade; Jasmine A Luzum; Gerald A Higgins; Brian D Athey
Journal:  Pharmacogenomics       Date:  2018-02-05       Impact factor: 2.533

5.  A variant of the glucose transporter gene SLC2A2 modifies the glycaemic response to metformin therapy in recently diagnosed type 2 diabetes.

Authors:  Wolfgang Rathmann; Klaus Strassburger; Brenda Bongaerts; Oliver Kuss; Karsten Müssig; Volker Burkart; Julia Szendroedi; Jörg Kotzka; Birgit Knebel; Hadi Al-Hasani; Michael Roden
Journal:  Diabetologia       Date:  2018-11-09       Impact factor: 10.122

6.  Association of GLP1R Polymorphisms With the Incretin Response.

Authors:  Edgar G Dorsey-Trevino; Varinderpal Kaur; Josep M Mercader; Jose C Florez; Aaron Leong
Journal:  J Clin Endocrinol Metab       Date:  2022-08-18       Impact factor: 6.134

Review 7.  Precision medicine in diabetes: an opportunity for clinical translation.

Authors:  Jordi Merino; Jose C Florez
Journal:  Ann N Y Acad Sci       Date:  2018-01       Impact factor: 5.691

Review 8.  Precision Diabetes Is Slowly Becoming a Reality.

Authors:  Viswanathan Mohan; Venkatesan Radha
Journal:  Med Princ Pract       Date:  2019-01-27       Impact factor: 1.927

Review 9.  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

10.  Evaluation of the effect of MTNR1B rs10830963 gene variant on the therapeutic efficacy of nateglinide in treating type 2 diabetes among Chinese Han patients.

Authors:  Jin-Fang Song; Jie Zhang; Ming-Zhu Zhang; Jiang Ni; Tao Wang; Yi-Qing Zhao; Naveed Ullah Khan
Journal:  BMC Med Genomics       Date:  2021-06-12       Impact factor: 3.063

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