Literature DB >> 12639765

NEUROD polymorphism Ala45Thr is associated with Type 1 diabetes mellitus in Czech children.

Ondrej Cinek1, Pavel Drevínek, Zdenĕk Sumník, Bĕla Bendlová, Pavlína Sedláková, Stanislava Kolousková, Marta Snajderová, Jan Vavrinec.   

Abstract

Association of the NEUROD Ala45Thr polymorphism with Type 1 diabetes mellitus (DM) has been found in some but not all populations. We performed a study on the association of two NEUROD exon 2 polymorphisms, the Ala45Thr and the Pro197His, with childhood-onset Type 1 DM in the Czech population. We compared 285 children with Type 1 DM diagnosed under the age of 15 years with 289 non-diabetic control children. The genotypes were determined using novel real-time allele-specific PCR assays in the TaqMan format, and data were analysed using logistic regression. The numbers of subjects with codon 45 genotypes Ala/Ala, Ala/Thr, Thr/Thr were 95, 145, 45 among cases and 117, 130, 42 among controls. Thr45 phenotypic positivity was associated with a significant risk of Type 1 DM (OR=2.01, CI 95% 1.25-3.24) in a multivariate logistic regression model involving also the insulin gene -23HphI genotype and the presence of Type 1 DM-associated HLA-DQB1*0302-DQA1*03 (DQ8) and DQB1*0201-DQA1*05 (DQ2) molecules. No association was observed for the Pro197His mutation which was carried by 5.3% cases and 5.9% controls. Our results confirm that the NEUROD Ala45Thr polymorphism is associated with childhood-onset Type 1 DM.

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Year:  2003        PMID: 12639765     DOI: 10.1016/s0168-8227(02)00251-6

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  3 in total

1.  Ala45Thr polymorphism of the NEUROD1 gene and diabetes susceptibility: a meta-analysis.

Authors:  Fotini K Kavvoura; John P A Ioannidis
Journal:  Hum Genet       Date:  2004-12-11       Impact factor: 4.132

2.  NeuroD1 gene and interleukin-18 gene polymorphisms in type 1 diabetes in Dalmatian population of Southern Croatia.

Authors:  Vesna Boraska; Janos Terzić; Veselin Skrabić; Tamara Caćev; Viljemka Bucević-Popović; Marijana Peruzović; Anita Markotić; Tatijana Zemunik
Journal:  Croat Med J       Date:  2006-08       Impact factor: 1.351

3.  Disease gene identification by random walk on multigraphs merging heterogeneous genomic and phenotype data.

Authors:  Yongjin Li; Jinyan Li
Journal:  BMC Genomics       Date:  2012-12-13       Impact factor: 3.969

  3 in total

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