Literature DB >> 18340361

The association between type 1 diabetes and the ITPR3 gene polymorphism due to linkage disequilibrium with HLA class II.

H-Q Qu1, L Marchand, A Szymborski, R Grabs, C Polychronakos.   

Abstract

A fine mapping study of the MHC region in a Swedish case-control population sample reported a novel type 1 diabetes (T1D) association from the inositol 1-, 4-, 5-trisphosphate receptor type 3 gene (ITPR3) in a case-control study, reportedly independent of the HLA class II effect. We attempted to replicate this novel association in a family-based study of 1120 T1D families with at least one affected child, an approach immune to population stratification. We found association of the ITPR3 single nucleotide polymorphisms (SNPs) rs2296336 with T1D but in a direction opposite to that reported. Moreover, rs2296336 was in linkage disequilibrium (LD) with specific alleles of the HLA DQB1 gene. Conditional regression showed that all of the ITPR3 SNP T1D association could be accounted for by the DQB1 effect. Therefore, our findings do not support an obvious role of genetic variation of the ITPR3 gene in T1D risk.

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Year:  2008        PMID: 18340361     DOI: 10.1038/gene.2008.12

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  6 in total

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Authors:  I Santin; A Castellanos-Rubio; A M Aransay; G Gutierrez; S Gaztambide; I Rica; J L Vicario; J A Noble; L Castaño; J R Bilbao
Journal:  Genes Immun       Date:  2009-05-21       Impact factor: 2.676

4.  Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus.

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Journal:  Biosci Rep       Date:  2021-05-28       Impact factor: 3.840

5.  Evidence for somatic gene conversion and deletion in bipolar disorder, Crohn's disease, coronary artery disease, hypertension, rheumatoid arthritis, type-1 diabetes, and type-2 diabetes.

Authors:  Kenneth Andrew Ross
Journal:  BMC Med       Date:  2011-02-03       Impact factor: 8.775

6.  PANEV: an R package for a pathway-based network visualization.

Authors:  Valentino Palombo; Marco Milanesi; Gabriella Sferra; Stefano Capomaccio; Sandy Sgorlon; Mariasilvia D'Andrea
Journal:  BMC Bioinformatics       Date:  2020-02-06       Impact factor: 3.169

  6 in total

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