Literature DB >> 22463974

European genetic variants associated with type 2 diabetes in North African Arabs.

S Cauchi1, I Ezzidi, Y El Achhab, N Mtiraoui, L Chaieb, D Salah, C Nejjari, Y Labrune, L Yengo, D Beury, M Vaxillaire, T Mahjoub, M Chikri, P Froguel.   

Abstract

AIMS: Recent genome-wide association studies (GWAS) and previous approaches have identified many genetic variants associated with type 2 diabetes (T2D) in populations of European descent, but their contribution in Arab populations from North Africa is unknown. Our study aimed to validate these markers and to assess their combined effects, using large case-control studies of Moroccan and Tunisian individuals.
METHODS: Overall, 44 polymorphisms, located at 37 validated European loci, were first analyzed in 1055 normoglycaemic controls and 1193 T2D cases from Morocco. Associations and trends were then assessed in 942 normoglycaemic controls and 1446 T2D cases from Tunisia. Finally, their ability to discriminate cases from controls was evaluated.
RESULTS: Carrying a genetic variant in BCL11A, ADAMTS9, IGF2BP2, WFS1, CDKAL1, TP53INP1, CDKN2A/B, TCF7L2, KCNQ1, HNF1A, FTO, MC4R and GCK increased the risk of T2D when assessing the Moroccan and Tunisian samples together. Each additional risk allele increased the susceptibility for developing the disease by 12% (P = 9.0 × 10(-9)). Genotype information for 13 polymorphisms slightly improved the classification of North Africans with and without T2D, as assessed by clinical parameters, with an increase in the area under the receiver operating characteristic curve from 0.64 to 0.67 (P = 0.004).
CONCLUSION: In addition to TCF7L2, 12 additional loci were found to be shared between Europeans and North African Arabs. As for Europeans, the reliability of genetic testing based on these markers to determine the risk for T2D is low. More genome-wide studies, including next-generation sequencing, in North African populations are needed to identify the genetic variants responsible for ethnic disparities in T2D susceptibility.
Copyright © 2012 Elsevier Masson SAS. All rights reserved.

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Year:  2012        PMID: 22463974     DOI: 10.1016/j.diabet.2012.02.003

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  34 in total

Review 1.  Islet biology, the CDKN2A/B locus and type 2 diabetes risk.

Authors:  Yahui Kong; Rohit B Sharma; Benjamin U Nwosu; Laura C Alonso
Journal:  Diabetologia       Date:  2016-05-07       Impact factor: 10.122

2.  Association of gene variants with susceptibility to type 2 diabetes among Omanis.

Authors:  Sawsan Al-Sinani; Nicolas Woodhouse; Ali Al-Mamari; Omaima Al-Shafie; Mohammed Al-Shafaee; Said Al-Yahyaee; Mohammed Hassan; Deepali Jaju; Khamis Al-Hashmi; Mohammed Al-Abri; Khalid Al-Rassadi; Syed Rizvi; Yengo Loic; Philippe Froguel; Riad Bayoumi
Journal:  World J Diabetes       Date:  2015-03-15

Review 3.  Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic review.

Authors:  Wei Bao; Frank B Hu; Shuang Rong; Ying Rong; Katherine Bowers; Enrique F Schisterman; Liegang Liu; Cuilin Zhang
Journal:  Am J Epidemiol       Date:  2013-09-05       Impact factor: 4.897

4.  Meta-analysis of the effect of KCNQ1 gene polymorphism on the risk of type 2 diabetes.

Authors:  Jun Liu; Fang Wang; Yueyue Wu; Xinmei Huang; Li Sheng; Jiong Xu; Bingbing Zha; Heyuan Ding; Zaoping Chen; Tiange Sun
Journal:  Mol Biol Rep       Date:  2012-12-28       Impact factor: 2.316

5.  Contribution of ENPP1, TCF7L2, and FTO polymorphisms to type 2 diabetes in mixed ancestry ethnic population of South Africa.

Authors:  Yandiswa Y Yako; Jabulisile H Madubedube; Andre P Kengne; Rajiv T Erasmus; Tahir S Pillay; Tandi E Matsha
Journal:  Afr Health Sci       Date:  2015-12       Impact factor: 0.927

6.  Epigenetic regulation of the DLK1-MEG3 microRNA cluster in human type 2 diabetic islets.

Authors:  Vasumathi Kameswaran; Nuria C Bramswig; Lindsay B McKenna; Melinda Penn; Jonathan Schug; Nicholas J Hand; Ying Chen; Inchan Choi; Anastassios Vourekas; Kyoung-Jae Won; Chengyang Liu; Kumar Vivek; Ali Naji; Joshua R Friedman; Klaus H Kaestner
Journal:  Cell Metab       Date:  2013-12-26       Impact factor: 27.287

Review 7.  The bigger picture of FTO: the first GWAS-identified obesity gene.

Authors:  Ruth J F Loos; Giles S H Yeo
Journal:  Nat Rev Endocrinol       Date:  2013-11-19       Impact factor: 43.330

8.  Associations of the FTO rs9939609 and the MC4R rs17782313 polymorphisms with type 2 diabetes are modulated by diet, being higher when adherence to the Mediterranean diet pattern is low.

Authors:  Carolina Ortega-Azorín; Jose V Sorlí; Eva M Asensio; Oscar Coltell; Miguel Ángel Martínez-González; Jordi Salas-Salvadó; Maria-Isabel Covas; Fernando Arós; José Lapetra; Lluís Serra-Majem; Enrique Gómez-Gracia; Miquel Fiol; Guillermo Sáez-Tormo; Xavier Pintó; Miguel Angel Muñoz; Emilio Ros; Jose M Ordovás; Ramon Estruch; Dolores Corella
Journal:  Cardiovasc Diabetol       Date:  2012-11-06       Impact factor: 9.951

Review 9.  Animal models of GWAS-identified type 2 diabetes genes.

Authors:  Gabriela da Silva Xavier; Elisa A Bellomo; James A McGinty; Paul M French; Guy A Rutter
Journal:  J Diabetes Res       Date:  2013-04-11       Impact factor: 4.011

10.  Genetic polymorphism of glucokinase on the risk of type 2 diabetes and impaired glucose regulation: evidence based on 298,468 subjects.

Authors:  Da Fu; Xianling Cong; Yushui Ma; Haidong Cai; Mingxiang Cai; Dan Li; Mingli Lv; Xueyu Yuan; Yinghui Huang; Zhongwei Lv
Journal:  PLoS One       Date:  2013-02-18       Impact factor: 3.240

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