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Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes
BACKGROUND: The TNF/LTA locus has been a long-standing T2D candidate gene. Several studies have examined association of TNF/LTA SNPs with T2D but the majority have been small-scale and produced no convincing evidence of association. The purpose of this study is to examine T2D association of tag SNPs...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873325/ https://www.ncbi.nlm.nih.gov/pubmed/20459604 http://dx.doi.org/10.1186/1471-2350-11-69 |
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author | Boraska, Vesna Rayner, Nigel W Groves, Christopher J Frayling, Timothy M Diakite, Mahamadou Rockett, Kirk A Kwiatkowski, Dominic P Day-Williams, Aaron G McCarthy, Mark I Zeggini, Eleftheria |
author_facet | Boraska, Vesna Rayner, Nigel W Groves, Christopher J Frayling, Timothy M Diakite, Mahamadou Rockett, Kirk A Kwiatkowski, Dominic P Day-Williams, Aaron G McCarthy, Mark I Zeggini, Eleftheria |
author_sort | Boraska, Vesna |
collection | PubMed |
description | BACKGROUND: The TNF/LTA locus has been a long-standing T2D candidate gene. Several studies have examined association of TNF/LTA SNPs with T2D but the majority have been small-scale and produced no convincing evidence of association. The purpose of this study is to examine T2D association of tag SNPs in the TNF/LTA region capturing the majority of common variation in a large-scale sample set of UK/Irish origin. METHODS: This study comprised a case-control (1520 cases and 2570 control samples) and a family-based component (423 parent-offspring trios). Eleven tag SNPs (rs928815, rs909253, rs746868, rs1041981 (T60N), rs1800750, rs1800629 (G-308A), rs361525 (G-238A), rs3093662, rs3093664, rs3093665, and rs3093668) were selected across the TNF/LTA locus and genotyped using a fluorescence-based competitive allele specific assay. Quality control of the obtained genotypes was performed prior to single- and multi-point association analyses under the additive model. RESULTS: We did not find any consistent SNP associations with T2D in the case-control or family-based datasets. CONCLUSIONS: The present study, designed to analyse a set of tag SNPs specifically selected to capture the majority of common variation in the TNF/LTA gene region, found no robust evidence for association with T2D. To investigate the presence of smaller effects of TNF/LTA gene variation with T2D, a large-scale meta-analysis will be required. |
format | Text |
id | pubmed-2873325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28733252010-05-20 Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes Boraska, Vesna Rayner, Nigel W Groves, Christopher J Frayling, Timothy M Diakite, Mahamadou Rockett, Kirk A Kwiatkowski, Dominic P Day-Williams, Aaron G McCarthy, Mark I Zeggini, Eleftheria BMC Med Genet Research Article BACKGROUND: The TNF/LTA locus has been a long-standing T2D candidate gene. Several studies have examined association of TNF/LTA SNPs with T2D but the majority have been small-scale and produced no convincing evidence of association. The purpose of this study is to examine T2D association of tag SNPs in the TNF/LTA region capturing the majority of common variation in a large-scale sample set of UK/Irish origin. METHODS: This study comprised a case-control (1520 cases and 2570 control samples) and a family-based component (423 parent-offspring trios). Eleven tag SNPs (rs928815, rs909253, rs746868, rs1041981 (T60N), rs1800750, rs1800629 (G-308A), rs361525 (G-238A), rs3093662, rs3093664, rs3093665, and rs3093668) were selected across the TNF/LTA locus and genotyped using a fluorescence-based competitive allele specific assay. Quality control of the obtained genotypes was performed prior to single- and multi-point association analyses under the additive model. RESULTS: We did not find any consistent SNP associations with T2D in the case-control or family-based datasets. CONCLUSIONS: The present study, designed to analyse a set of tag SNPs specifically selected to capture the majority of common variation in the TNF/LTA gene region, found no robust evidence for association with T2D. To investigate the presence of smaller effects of TNF/LTA gene variation with T2D, a large-scale meta-analysis will be required. BioMed Central 2010-05-06 /pmc/articles/PMC2873325/ /pubmed/20459604 http://dx.doi.org/10.1186/1471-2350-11-69 Text en Copyright ©2010 Boraska et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Boraska, Vesna Rayner, Nigel W Groves, Christopher J Frayling, Timothy M Diakite, Mahamadou Rockett, Kirk A Kwiatkowski, Dominic P Day-Williams, Aaron G McCarthy, Mark I Zeggini, Eleftheria Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes |
title | Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes |
title_full | Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes |
title_fullStr | Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes |
title_full_unstemmed | Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes |
title_short | Large-scale association analysis of TNF/LTA gene region polymorphisms in type 2 diabetes |
title_sort | large-scale association analysis of tnf/lta gene region polymorphisms in type 2 diabetes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873325/ https://www.ncbi.nlm.nih.gov/pubmed/20459604 http://dx.doi.org/10.1186/1471-2350-11-69 |
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