Association of the peroxisome proliferator-activated receptor-γ2 Pro12Ala but not the C1431T gene variants with lower body mass index in Type 2 diabetes

Mohamed, Manel Ben Hadj; Mtiraoui, Nabil; Ezzidi, Intissar; Chaïeb, M.; Mahjoub, Touhami; Almawi, Wassim Y.

doi:10.1007/bf03349241

Cited by 16 publications

(10 citation statements)

References 31 publications

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“…Previous genetic studies undertaken in this case-control study from the Tunisian population have assessed the impact of a number of gene variants on T2D risk and vascular complications, such as PPARG [35], eNOS [36], MTHFR [37], IL-10 [38]. Except to the Pro12Ala variants of PPARG which were found to be associated only to a lower BMI among T2D patients, the other variants showed a contribution to T2D and in part to diabetic vascular complications.…”

Section: Discussionmentioning

confidence: 99%

Contribution of type 2 diabetes associated loci in the Arabic population from Tunisia: a case-control study

et al. 2009

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Section: Discussionmentioning

confidence: 99%

Contribution of type 2 diabetes associated loci in the Arabic population from Tunisia: a case-control study

et al. 2009

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“…Taken together, these considerations contribute to explain the conflicting results about PPARG nucleotide variations obtained in different populations [57, 73, 78, 85–89, 104, 108, 110, 112–115]. …”

Section: Pparg Target Genes: Polymorphisms Haplotypes and Gene Ementioning

confidence: 99%

PPARG: Gene Expression Regulation and Next-Generation Sequencing for Unsolved Issues

et al. 2010

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Peroxisome proliferator-activated receptor gamma (PPARγ) is one of the most extensively studied ligand-inducible transcription factors (TFs), able to modulate its transcriptional activity through conformational changes. It is of particular interest because of its pleiotropic functions: it plays a crucial role in the expression of key genes involved in adipogenesis, lipid and glucid metabolism, atherosclerosis, inflammation, and cancer. Its protein isoforms, the wide number of PPARγ target genes, ligands, and coregulators contribute to determine the complexity of its function. In addition, the presence of genetic variants is likely to affect expression levels of target genes although the impact of PPARG gene variations on the expression of target genes is not fully understood. The introduction of massively parallel sequencing platforms—in the Next Generation Sequencing (NGS) era—has revolutionized the way of investigating the genetic causes of inherited diseases. In this context, DNA-Seq for identifying—within both coding and regulatory regions of PPARG gene—novel nucleotide variations and haplotypes associated to human diseases, ChIP-Seq for defining a PPARγ binding map, and RNA-Seq for unraveling the wide and intricate gene pathways regulated by PPARG, represent incredible steps toward the understanding of PPARγ in health and disease.

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“…) on T2D risk in a meta-analysis combining data of previous studies performed in Tunisian populations from the north, the centre or the south of the country (Bouhaha et al 2008, 2010b, Ouederni et al 2009a, 2009b, Zouari et al 2004, 2005, Mohamed et al 2007, Ezzidi I et al 2009, 2010b, Mehri et al 2010a, 2010b, Baroudi et al 2009, Arfa et al 2008.…”

Section: Capn10(3r/2rmentioning

confidence: 99%

Genetic Susceptibility to Type 2 Diabetes: A Global Meta-Analysis Studying the Genetic Differences in Tunisian Populations

Berhouma¹,

Kouidhi²,

Ammar³

et al. 2012

Human Biology

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The present study is the first meta-analysis to evaluate type 2 diabetes (T2D) -associated polymorphisms in cohorts originated from several Tunisian regions. In fact, we evaluated the effect of seven polymorphisms in the following genes ; PPARg ( Pro12Ala), TNFα (-308A/G), ENPP1(K121Q), TCF7L2(rs7903146 C/T), MTHFR( C677T), ACE(I/D), CAPN10(3R/2R) on T2D risk, through a meta-analysis combining data of previous studies performed on Tunisian populations originating from the north, centre or south of the country. R statistics version 2.12.1 software was used to estimate the heterogeneity between studies. Pooled ORs were computed by the fixed-effects method of Mantel-Haenszel if no heterogeneity between studies exists. Despite the similarities founded in a number of loci, the Woolf test reported that the contributions of ENPP1 and ACE loci in T2D risk are dependent on the geographic origin of concerned groups and this heterogeneity could be attributed not only, to the variable contribution of the variant in T2D risk, but also to diversities of genetic background between tested groups. Interestingly, observed heterogeneity highlighted founding concerning Y chromosome and the mitochondrial DNA about genetic structure of Tunisian population and proves once again that Tunisians, like the north-Africans, are a mosaic of subpopulations, with significant differences in genetic structure. In homogenous groups, we replicated the association of SNPs of TCF7L2, MTHFR, CAPN 10, TNFα and ACE genes with T2D risk in Tunisian population with OR ranging from 1.43 to 6.72. However, we reported an absence of association of PPARg with T2D in Tunisian population.

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Association of the peroxisome proliferator-activated receptor-γ2 Pro12Ala but not the C1431T gene variants with lower body mass index in Type 2 diabetes

Cited by 16 publications

References 31 publications

Contribution of type 2 diabetes associated loci in the Arabic population from Tunisia: a case-control study

Contribution of type 2 diabetes associated loci in the Arabic population from Tunisia: a case-control study

PPARG: Gene Expression Regulation and Next-Generation Sequencing for Unsolved Issues

Genetic Susceptibility to Type 2 Diabetes: A Global Meta-Analysis Studying the Genetic Differences in Tunisian Populations

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