Literature DB >> 26119161

Genetic markers of type 2 diabetes: Progress in genome-wide association studies and clinical application for risk prediction.

Xueyin Wang1,2, Garrett Strizich1, Yonghua Hu2, Tao Wang1, Robert C Kaplan1, Qibin Qi1.   

Abstract

Type 2 diabetes (T2D) has become a leading public health challenge worldwide. To date, a total of 83 susceptibility loci for T2D have been identified by genome-wide association studies (GWAS). Application of meta-analysis and modern genotype imputation approaches to GWAS data from diverse ethnic populations has been key in the effort to discover T2D loci. Genetic information is expected to play a vital role in the prediction of T2D, and many efforts have been made to develop T2D risk models that include both conventional and genetic risk factors. Yet, because most T2D genetic variants identified have small effect size individually (10%-20% increased risk of T2D per risk allele), their clinical utility remains unclear. Most studies report that a genetic risk score combining multiple T2D genetic variants does not substantially improve T2D risk prediction beyond conventional risk factors. In this article, we summarize the recent progress of T2D GWAS and further review the incremental predictive performance of genetic markers for T2D.
© 2015 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  2型糖尿病; area under the receiver operating characteristic curve; genetics; genome-wide association studies; type 2 diabetes; 全基因组关联研究; 接受者操作特征曲线下面积; 遗传学

Mesh:

Substances:

Year:  2015        PMID: 26119161     DOI: 10.1111/1753-0407.12323

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  28 in total

1.  Analysis of Gene Candidate SNP and Ancestral Origin Associated to Obesity and Postoperative Weight Loss in a Cohort of Obese Patients Undergoing RYGB.

Authors:  David Velázquez-Fernández; Gabriela Mercado-Celis; Jeny Flores-Morales; Diana Clavellina-Gaytán; Ramón Vidrio; Eduardo Vidrio; Maureen Mosti; Hugo Sánchez-Aguilar; Donaji Rodriguez; Pablo León; Miguel F Herrera
Journal:  Obes Surg       Date:  2017-06       Impact factor: 4.129

Review 2.  "H" for Heterogeneity in the Algorithm for Type 2 Diabetes Management.

Authors:  Pieralice Silvia; Zampetti Simona; Maddaloni Ernesto; Buzzetti Raffaella
Journal:  Curr Diab Rep       Date:  2020-03-20       Impact factor: 4.810

3.  Impaired pancreatic beta cell compensatory function is the main cause of type 2 diabetes in individuals with high genetic risk: a 9 year prospective cohort study in the Chinese population.

Authors:  Jing Yan; Danfeng Peng; Feng Jiang; Rong Zhang; Miao Chen; Tao Wang; Dandan Yan; Shiyun Wang; Xuhong Hou; Yuqian Bao; Cheng Hu; Weiping Jia
Journal:  Diabetologia       Date:  2016-03-23       Impact factor: 10.122

Review 4.  Association between -308G/A TNFA Polymorphism and Susceptibility to Type 2 Diabetes Mellitus: A Systematic Review.

Authors:  Geisa Izetti Luna; Izabel Cristina Rodrigues da Silva; Mauro Niskier Sanchez
Journal:  J Diabetes Res       Date:  2016-10-16       Impact factor: 4.011

5.  A meta-analysis of associations of LEPR Q223R and K109R polymorphisms with Type 2 diabetes risk.

Authors:  Yunzhong Yang; Tianhua Niu
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

6.  Association of polymorphic markers of genes FTO, KCNJ11, CDKAL1, SLC30A8, and CDKN2B with type 2 diabetes mellitus in the Russian population.

Authors:  Aleksey G Nikitin; Viktor Y Potapov; Olga I Brovkina; Ekaterina O Koksharova; Dmitry S Khodyrev; Yury I Philippov; Marina S Michurova; Minara S Shamkhalova; Olga K Vikulova; Svetlana A Smetanina; Lyudmila A Suplotova; Irina V Kononenko; Viktor Y Kalashnikov; Olga M Smirnova; Alexander Y Mayorov; Valery V Nosikov; Alexander V Averyanov; Marina V Shestakova
Journal:  PeerJ       Date:  2017-07-13       Impact factor: 2.984

7.  Association between 28 single nucleotide polymorphisms and type 2 diabetes mellitus in the Kazakh population: a case-control study.

Authors:  Nurgul Sikhayeva; Aisha Iskakova; Nuria Saigi-Morgui; Elena Zholdybaeva; Chin-Bin Eap; Erlan Ramanculov
Journal:  BMC Med Genet       Date:  2017-07-24       Impact factor: 2.103

8.  Association of Family History of Type 2 Diabetes with Prostate Cancer: A National Cohort Study.

Authors:  Jianguang Ji; Jan Sundquist; Kristina Sundquist
Journal:  Front Oncol       Date:  2016-08-29       Impact factor: 6.244

Review 9.  Type 2 Diabetes Mellitus and Cardiovascular Disease: Genetic and Epigenetic Links.

Authors:  Salvatore De Rosa; Biagio Arcidiacono; Eusebio Chiefari; Antonio Brunetti; Ciro Indolfi; Daniela P Foti
Journal:  Front Endocrinol (Lausanne)       Date:  2018-01-17       Impact factor: 5.555

10.  Influence of genetic ancestry and socioeconomic status on type 2 diabetes in the diverse Colombian populations of Chocó and Antioquia.

Authors:  Aroon T Chande; Jessica Rowell; Lavanya Rishishwar; Andrew B Conley; Emily T Norris; Augusto Valderrama-Aguirre; Miguel A Medina-Rivas; I King Jordan
Journal:  Sci Rep       Date:  2017-12-07       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.