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No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()

Genome-wide association studies identified novel genes associated with T2DM which have been replicated in different populations. We try to examine here if certain frequently replicated SNPs of Insulin growth factor 2 m-RNA binding protein 2 (IGF2BP2) (rs4402960, rs1470579) and Solute Carrier family...

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Autores principales: Kommoju, Uma Jyothi, Maruda, Jayaraj, Kadarkarai, Subburaj, Irgam, Kumuda, Kotla, Jaya Prasad, Velaga, Lakshmi, Mohan Reddy, Battini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205031/
https://www.ncbi.nlm.nih.gov/pubmed/25606370
http://dx.doi.org/10.1016/j.mgene.2013.09.003
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author Kommoju, Uma Jyothi
Maruda, Jayaraj
Kadarkarai, Subburaj
Irgam, Kumuda
Kotla, Jaya Prasad
Velaga, Lakshmi
Mohan Reddy, Battini
author_facet Kommoju, Uma Jyothi
Maruda, Jayaraj
Kadarkarai, Subburaj
Irgam, Kumuda
Kotla, Jaya Prasad
Velaga, Lakshmi
Mohan Reddy, Battini
author_sort Kommoju, Uma Jyothi
collection PubMed
description Genome-wide association studies identified novel genes associated with T2DM which have been replicated in different populations. We try to examine here if certain frequently replicated SNPs of Insulin growth factor 2 m-RNA binding protein 2 (IGF2BP2) (rs4402960, rs1470579) and Solute Carrier family 30 member 8 (SLC30A8) (rs13266634) genes, known to be implicated in insulin pathway, are associated with T2DM in the population of Hyderabad, which is considered to be a diabetic capital of India. Genotyping of the 1379 samples, 758 cases and 621 controls, for the SNPs was performed on sequenom massarray platform. The logistic regression analysis was done using SPSS software and the post-hoc power of the study was estimated using G power. The allele and genotype frequencies were similar between cases and controls, both for SNPs of IGF2BP2 and SLC30A8 genes. Logistic regression did not reveal significant allelic or genotypic association of any of the three SNPs with T2DM. Despite large sample size and adequate power, we could not replicate the association of IGF2BP2 and SLC30A8 SNPs with T2DM in our sample from Hyderabad (A.P.), India, albeit another study based on much larger sample but from heterogeneous populations from the northern parts of India showed significant association of two of the above 3 SNPs, suggesting variable nature of susceptibility of these genes in different ethnic groups. Although the IGF2BP2 and SLC30A8 genes are important in the functional pathway of Insulin secretion, it appears that these genes do not play a significant role in the susceptibility to T2DM in this population.
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spelling pubmed-42050312015-01-20 No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India() Kommoju, Uma Jyothi Maruda, Jayaraj Kadarkarai, Subburaj Irgam, Kumuda Kotla, Jaya Prasad Velaga, Lakshmi Mohan Reddy, Battini Meta Gene Article Genome-wide association studies identified novel genes associated with T2DM which have been replicated in different populations. We try to examine here if certain frequently replicated SNPs of Insulin growth factor 2 m-RNA binding protein 2 (IGF2BP2) (rs4402960, rs1470579) and Solute Carrier family 30 member 8 (SLC30A8) (rs13266634) genes, known to be implicated in insulin pathway, are associated with T2DM in the population of Hyderabad, which is considered to be a diabetic capital of India. Genotyping of the 1379 samples, 758 cases and 621 controls, for the SNPs was performed on sequenom massarray platform. The logistic regression analysis was done using SPSS software and the post-hoc power of the study was estimated using G power. The allele and genotype frequencies were similar between cases and controls, both for SNPs of IGF2BP2 and SLC30A8 genes. Logistic regression did not reveal significant allelic or genotypic association of any of the three SNPs with T2DM. Despite large sample size and adequate power, we could not replicate the association of IGF2BP2 and SLC30A8 SNPs with T2DM in our sample from Hyderabad (A.P.), India, albeit another study based on much larger sample but from heterogeneous populations from the northern parts of India showed significant association of two of the above 3 SNPs, suggesting variable nature of susceptibility of these genes in different ethnic groups. Although the IGF2BP2 and SLC30A8 genes are important in the functional pathway of Insulin secretion, it appears that these genes do not play a significant role in the susceptibility to T2DM in this population. Elsevier 2013-10-15 /pmc/articles/PMC4205031/ /pubmed/25606370 http://dx.doi.org/10.1016/j.mgene.2013.09.003 Text en © 2013 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Article
Kommoju, Uma Jyothi
Maruda, Jayaraj
Kadarkarai, Subburaj
Irgam, Kumuda
Kotla, Jaya Prasad
Velaga, Lakshmi
Mohan Reddy, Battini
No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()
title No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()
title_full No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()
title_fullStr No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()
title_full_unstemmed No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()
title_short No detectable association of IGF2BP2 and SLC30A8 genes with type 2 diabetes in the population of Hyderabad, India()
title_sort no detectable association of igf2bp2 and slc30a8 genes with type 2 diabetes in the population of hyderabad, india()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205031/
https://www.ncbi.nlm.nih.gov/pubmed/25606370
http://dx.doi.org/10.1016/j.mgene.2013.09.003
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