Literature DB >> 14722160

Progress in defining the molecular basis of type 2 diabetes mellitus through susceptibility-gene identification.

Mark I McCarthy1.   

Abstract

The rapid increase in the prevalence of type 2 diabetes (T2D) represents a major challenge for health care delivery worldwide. Identification of genes influencing individual susceptibility to disease offers a route to better understanding of the molecular mechanisms underlying pathogenesis, a necessary prerequisite for the rational development of improved preventative and therapeutic methods. The past decade has seen substantial success in identifying genes responsible for monogenic forms of diabetes (notably, maturity-onset diabetes of the young), and, in patients presenting with early-onset diabetes, a precise molecular diagnosis is an increasingly important element of optimal clinical care. Progress in gene identification for more common, multifactorial forms of type 2 diabetes has been slower, but there is now compelling evidence that common variants in the PPARG, KCNJ11 and CAPN10 genes influence T2D-susceptibility, and positional cloning efforts within replicated regions of linkage promise to deliver additional components of inherited susceptibility. The challenge in the years to come will be to understand how T2D risk is influenced by the interaction of these variants with each other and with pertinent environmental factors encountered during gestation, childhood and adulthood; and to establish how best to apply this understanding to provide individuals with clinically-useful diagnostic, prognostic and therapeutic information.

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Mesh:

Year:  2004        PMID: 14722160     DOI: 10.1093/hmg/ddh057

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  31 in total

1.  Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes.

Authors:  Lu Qi; Marilyn C Cornelis; Peter Kraft; Kristopher J Stanya; W H Linda Kao; James S Pankow; Josée Dupuis; Jose C Florez; Caroline S Fox; Guillaume Paré; Qi Sun; Cynthia J Girman; Cathy C Laurie; Daniel B Mirel; Teri A Manolio; Daniel I Chasman; Eric Boerwinkle; Paul M Ridker; David J Hunter; James B Meigs; Chih-Hao Lee; Frank B Hu; Rob M van Dam
Journal:  Hum Mol Genet       Date:  2010-04-23       Impact factor: 6.150

2.  A quality control algorithm for filtering SNPs in genome-wide association studies.

Authors:  Monnat Pongpanich; Patrick F Sullivan; Jung-Ying Tzeng
Journal:  Bioinformatics       Date:  2010-05-25       Impact factor: 6.937

3.  Human-specific derived alleles of CD33 and other genes protect against postreproductive cognitive decline.

Authors:  Flavio Schwarz; Stevan A Springer; Tasha K Altheide; Nissi M Varki; Pascal Gagneux; Ajit Varki
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-30       Impact factor: 11.205

4.  Making the right associations.

Authors:  M I McCarthy; P-H Groop; T Hansen
Journal:  Diabetologia       Date:  2005-07       Impact factor: 10.122

5.  A novel 111/121 diplotype in the Calpain-10 gene is associated with type 2 diabetes.

Authors:  Eun Seok Kang; Hye Joo Kim; Moonsuk Nam; Chung Mo Nam; Chul Woo Ahn; Bong Soo Cha; Hyun Chul Lee
Journal:  J Hum Genet       Date:  2006-05-24       Impact factor: 3.172

Review 6.  Genetics of type 2 diabetes.

Authors:  Mark I McCarthy; Eleftheria Zeggini
Journal:  Curr Diab Rep       Date:  2006-04       Impact factor: 4.810

7.  Mutations in HHEX are not a common cause of monogenic forms of beta cell dysfunction.

Authors:  J A L Minton; M van de Bunt; C Boustred; K Hussain; A T Hattersley; S Ellard; A L Gloyn
Journal:  Diabetologia       Date:  2007-07-06       Impact factor: 10.122

8.  Electrophoretic techniques applied to the detection and analysis of the human microsatellite DG10s478.

Authors:  Clara Y Taylor; Isabel A Guillén; Marcelo Nazabal; Julio R Fernández; José A Silva
Journal:  J Biomol Tech       Date:  2007-12

Review 9.  A HapMap harvest of insights into the genetics of common disease.

Authors:  Teri A Manolio; Lisa D Brooks; Francis S Collins
Journal:  J Clin Invest       Date:  2008-05       Impact factor: 14.808

10.  Type 2 Diabetes Genetics: Beyond GWAS.

Authors:  Dharambir K Sanghera; Piers R Blackett
Journal:  J Diabetes Metab       Date:  2012-06-23
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