Literature DB >> 22239624

Genetic risk factors for type 2 diabetes: insights from the emerging genomic evidence.

Evangelia E Ntzani1, Fotini K Kavvoura.   

Abstract

Type-2 diabetes is a complex disease modified by a number of environmental and genetic factors that contribute at varying degrees to the final phenotype and possibly interact with each other. Deciphering the genetic background of the disease serves multiple goals ranging from expanding our knowledge on the disease pathogenesis and identifying future targets for drug development to successfully personalizing clinical disease prediction and prognosis. In the present review, we aimed to systematically appraise the current evidence from genome-wide association studies (GWAS) on type- 2 diabetes, identify the gene targets that have been assessed to-date, and discuss issues that stem from the rapid growth of this literature. Our search identified more than 60 recently identified loci implicated with type-2 diabetes and related traits assessed in populations of European and Asian ancestry. A considerable number of the proposed genes seem to be related to beta-cell development and function, but there are several genes identified as "diabetes-genes" whose underlying pathway linked to diabetes remains poorly understood. Despite the increasing numbers of identified genetic markers, a large proportion of the observed type-2 diabetes heritability remains unexplained; larger GWAS on enhanced genotyping platforms, refined ascertainment of the characteristics of the populations under study and additional information from whole-genome sequencing will contribute to a more comprehensive view of the genetic architecture of the disease. This information is also anticipated to improve the predictive ability of multiple-loci genetic risk scores that will eventually be able to identify disease susceptibility over and above the traditional non-genetic risk factors.

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Year:  2012        PMID: 22239624     DOI: 10.2174/157016112799305030

Source DB:  PubMed          Journal:  Curr Vasc Pharmacol        ISSN: 1570-1611            Impact factor:   2.719


  10 in total

1.  Evidence for novel genetic loci associated with metabolic traits in Yup'ik people.

Authors:  Stella Aslibekyan; Laura Kelly Vaughan; Howard W Wiener; Dominick J Lemas; Yann C Klimentidis; Peter J Havel; Kimber L Stanhope; Diane M O'brien; Scarlett E Hopkins; Bert B Boyer; Hemant K Tiwari
Journal:  Am J Hum Biol       Date:  2013-08-01       Impact factor: 1.937

2.  Association of common variants in/near six genes (ATP2B1, CSK, MTHFR, CYP17A1, STK39 and FGF5) with blood pressure/hypertension risk in Chinese children.

Authors:  B Xi; Y Shen; X Zhao; G R Chandak; H Cheng; D Hou; Y Li; J Ott; Y Zhang; X Wang; J Mi
Journal:  J Hum Hypertens       Date:  2013-06-13       Impact factor: 3.012

Review 3.  Epigenetics of insulin resistance: an emerging field in translational medicine.

Authors:  Silvia Sookoian; Carlos J Pirola
Journal:  Curr Diab Rep       Date:  2013-04       Impact factor: 4.810

Review 4.  Skewed Epigenetics: An Alternative Therapeutic Option for Diabetes Complications.

Authors:  Gabriele Togliatto; Patrizia Dentelli; Maria Felice Brizzi
Journal:  J Diabetes Res       Date:  2015-04-30       Impact factor: 4.011

5.  Analysis of a sample of type 2 diabetic patients with obesity or overweight and at cardiovascular risk: a cross sectional study in Spain.

Authors:  María Orosia Lucha-López; Ana Carmen Lucha-López; Concepción Vidal-Peracho; José Miguel Tricás-Moreno; Elena Estébanez-De Miguel; Carlos Salavera-Bordás; Cesar Hidalgo-García
Journal:  BMC Res Notes       Date:  2014-01-21

Review 6.  Genetic architecture of human fibrotic diseases: disease risk and disease progression.

Authors:  Agnès Gardet; Timothy S Zheng; Joanne L Viney
Journal:  Front Pharmacol       Date:  2013-12-18       Impact factor: 5.810

7.  Prenatal exposure to bereavement and type-2 diabetes: a Danish longitudinal population based study.

Authors:  Jasveer Virk; Jiong Li; Mogens Vestergaard; Carsten Obel; Jette Kolding Kristensen; Jørn Olsen
Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

8.  Genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the EpiDREAM genetic study.

Authors:  Sonia S Anand; David Meyre; Guillaume Pare; Swneke D Bailey; Changchun Xie; Xiaohe Zhang; Alexandre Montpetit; Dipika Desai; Jackie Bosch; Viswanathan Mohan; Rafael Diaz; Matthew J McQueen; Heather J Cordell; Bernard Keavney; Salim Yusuf; Daniel Gaudet; Hertzel Gerstein; James C Engert
Journal:  Diabetes Care       Date:  2013-04-19       Impact factor: 19.112

Review 9.  Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention.

Authors:  Yanling Wu; Yanping Ding; Yoshimasa Tanaka; Wen Zhang
Journal:  Int J Med Sci       Date:  2014-09-06       Impact factor: 3.738

Review 10.  Assessment of the environmental and genetic factors influencing prevalence of metabolic syndrome in Saudi Arabia.

Authors:  Ibrahim M Gosadi
Journal:  Saudi Med J       Date:  2016-01       Impact factor: 1.484

  10 in total

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