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Evaluating the association of common PBX1 variants with type 2 diabetes

BACKGROUND: PBX1 is a biological candidate gene for type 2 diabetes at the 1q21-q24 susceptibility locus. The aim of this study was to evaluate the association of common PBX1 variants with type 2 diabetes in French Caucasian subjects. METHODS: Employing a case-control design, we genotyped 39 SNPs sp...

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Autores principales: Duesing, Konsta, Charpentier, Guillaume, Marre, Michel, Tichet, Jean, Hercberg, Serge, Balkau, Beverley, Froguel, Philippe, Gibson, Fernando
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2292156/
https://www.ncbi.nlm.nih.gov/pubmed/18312624
http://dx.doi.org/10.1186/1471-2350-9-14
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author Duesing, Konsta
Charpentier, Guillaume
Marre, Michel
Tichet, Jean
Hercberg, Serge
Balkau, Beverley
Froguel, Philippe
Gibson, Fernando
author_facet Duesing, Konsta
Charpentier, Guillaume
Marre, Michel
Tichet, Jean
Hercberg, Serge
Balkau, Beverley
Froguel, Philippe
Gibson, Fernando
author_sort Duesing, Konsta
collection PubMed
description BACKGROUND: PBX1 is a biological candidate gene for type 2 diabetes at the 1q21-q24 susceptibility locus. The aim of this study was to evaluate the association of common PBX1 variants with type 2 diabetes in French Caucasian subjects. METHODS: Employing a case-control design, we genotyped 39 SNPs spanning the PBX1 locus in 3,093 subjects to test for association with type 2 diabetes. RESULTS: Several PBX1 SNPs, including the G21S coding SNP rs2275558, were nominally associated with type 2 diabetes but the strongest result was obtained with the intron 2 SNP rs2792248 (P = 0.004, OR 1.20 [95% CI 1.06–1.37]). The SNPSpD multiple testing correction method gave a significance threshold of P = 0.002 for the 39 SNPs genotyped, indicating that the rs2792248 association did not survive multiple testing adjustment. SNP rs2792248 did not show evidence of association with the French 1q linkage signal (P = 0.31; weighted NPL score 2.16). None of the PBX1 SNPs nominally associated with type 2 diabetes were associated with a range of quantitative metabolic traits in the normoglycemic control subjects CONCLUSION: The available data does not support a major influence of common PBX1 variants on type 2 diabetes susceptibility or quantitative metabolic traits. In order to make progress in identifying the elusive susceptibility variants in the 1q region it will be necessary to carry out further large association studies, meta-analyses of existing data from individual studies, and deep resequencing of the 1q region.
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spelling pubmed-22921562008-04-11 Evaluating the association of common PBX1 variants with type 2 diabetes Duesing, Konsta Charpentier, Guillaume Marre, Michel Tichet, Jean Hercberg, Serge Balkau, Beverley Froguel, Philippe Gibson, Fernando BMC Med Genet Research Article BACKGROUND: PBX1 is a biological candidate gene for type 2 diabetes at the 1q21-q24 susceptibility locus. The aim of this study was to evaluate the association of common PBX1 variants with type 2 diabetes in French Caucasian subjects. METHODS: Employing a case-control design, we genotyped 39 SNPs spanning the PBX1 locus in 3,093 subjects to test for association with type 2 diabetes. RESULTS: Several PBX1 SNPs, including the G21S coding SNP rs2275558, were nominally associated with type 2 diabetes but the strongest result was obtained with the intron 2 SNP rs2792248 (P = 0.004, OR 1.20 [95% CI 1.06–1.37]). The SNPSpD multiple testing correction method gave a significance threshold of P = 0.002 for the 39 SNPs genotyped, indicating that the rs2792248 association did not survive multiple testing adjustment. SNP rs2792248 did not show evidence of association with the French 1q linkage signal (P = 0.31; weighted NPL score 2.16). None of the PBX1 SNPs nominally associated with type 2 diabetes were associated with a range of quantitative metabolic traits in the normoglycemic control subjects CONCLUSION: The available data does not support a major influence of common PBX1 variants on type 2 diabetes susceptibility or quantitative metabolic traits. In order to make progress in identifying the elusive susceptibility variants in the 1q region it will be necessary to carry out further large association studies, meta-analyses of existing data from individual studies, and deep resequencing of the 1q region. BioMed Central 2008-02-29 /pmc/articles/PMC2292156/ /pubmed/18312624 http://dx.doi.org/10.1186/1471-2350-9-14 Text en Copyright © 2008 Duesing 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
Duesing, Konsta
Charpentier, Guillaume
Marre, Michel
Tichet, Jean
Hercberg, Serge
Balkau, Beverley
Froguel, Philippe
Gibson, Fernando
Evaluating the association of common PBX1 variants with type 2 diabetes
title Evaluating the association of common PBX1 variants with type 2 diabetes
title_full Evaluating the association of common PBX1 variants with type 2 diabetes
title_fullStr Evaluating the association of common PBX1 variants with type 2 diabetes
title_full_unstemmed Evaluating the association of common PBX1 variants with type 2 diabetes
title_short Evaluating the association of common PBX1 variants with type 2 diabetes
title_sort evaluating the association of common pbx1 variants with type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2292156/
https://www.ncbi.nlm.nih.gov/pubmed/18312624
http://dx.doi.org/10.1186/1471-2350-9-14
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