Your browser doesn't support javascript.
loading
Montrer: 20 | 50 | 100
Résultats 1 - 2 de 2
Filtrer
Plus de filtres








Gamme d'année
1.
J Biosci ; 2019 Mar; 44(1): 1-11
Article | IMSEAR | ID: sea-214273

RÉSUMÉ

In this review, we briefly outlined salient features of pathophysiology and results of the genetic association studies hithertoconducted on type 2 diabetes. Primarily focusing on the current status of genomic research, we briefly discussed the limitedprogress made during the post-genomic era and tried to identify the limitations of the post-genomic research strategies. Wesuggested reanalysis of the existing genomic data through advanced statistical and computational methods and recommended integrated genomics-metabolomics approaches for future studies to facilitate understanding of the gene-environment interactions in the manifestation of the disease. We also propose a framework for research that may be apt fordetermining the effects of urbanization and changing lifestyles in the manifestation of complex genetic disorders like type 2diabetes in the Indian populations and offset the confounding effects of both genetic and environmental factors in thenatural way

2.
Article de Anglais | IMSEAR | ID: sea-176484

RÉSUMÉ

Background & objectives: The genome-wide association studies (GWAS) have shown an association of type 2 diabetes mellitus (T2DM) with several novel genes. We report here the findings on the pattern of genetic association of three genes (CDKAL1, CDKN2A/B and HHEX) with T2DM in the population of Hyderabad, south India. Methods: A sample of 1379 individuals (758 T2DM cases and 621 controls) from Hyderabad, India, were genotyped for five single nucleotide polymorphisms (SNPs) of CDKAL1 (rs7754840, rs7756992) CDKN2A/B (rs10811661) and HHEX (rs1111875, rs7923837) genes on Sequenom Mass Array platform. Results: The risk allele frequencies of the CDKAL1 and CDKN2A/B SNPs were relatively higher in cases than in the controls and the logistic regression analysis yielded significant odds ratios suggesting that the variant alleles conferred risk for developing T2DM in this population. The HHEX gene did not show either allelic or genotypic association with T2DM. The multivariate logistic regression analysis with reference to both alleles and genotypes of CDKAL1 SNPs showed significant association, suggesting an important role for this gene in the T2DM pathophysiology. Interpretation & conclusions: A significant association was seen of all the three SNPs of CDKAL1 and CDKN2A/B genes with T2DM but none of the two SNPs of HHEX. Further studies are required to cross-validate our findings in a relatively larger sample. It is also necessary to explore other SNPs of HHEX gene to unequivocally establish the pattern of association of this gene with T2DM in this population.

SÉLECTION CITATIONS
DÉTAIL DE RECHERCHE