Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study.

J. Delgado-Lista; P. Perez-Martinez; J. Solivera; A. Garcia-Rios; A.I. Perez-Caballero; J.A. Lovegrove; C.A. Drevon; C. Defoort; E.E. Blaak; A. Dembinska-Kiec; U. Riserus; E. Herruzo-Gomez; A. Camargo; J.M. Ordovas; H. Roche; J. Lopez-Miranda

doi:10.1210/jc.2013-3165

Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study.

J. Delgado-Lista, P. Perez-Martinez, J. Solivera, A. Garcia-Rios, A.I. Perez-Caballero, J.A. Lovegrove, C.A. Drevon, C. Defoort, E.E. Blaak, A. Dembinska-Kiec, U. Riserus, E. Herruzo-Gomez, A. Camargo, J.M. Ordovas, H. Roche, J. Lopez-Miranda^*

^*Corresponding author for this work

Humane Biologie

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Rationale: Metabolic syndrome (MetS) is a high-prevalence condition characterized by altered energy metabolism, insulin resistance, and elevated cardiovascular risk.

Objectives: Although many individual single nucleotide polymorphisms (SNPs) have been linked to certain MetS features, there are few studies analyzing the influence of SNPs on carbohydrate metabolism in MetS.

Methods: A total of 904 SNPs (tag SNPs and functional SNPs) were tested for influence on 8 fasting and dynamic markers of carbohydrate metabolism, by performance of an intravenous glucose tolerance test in 450 participants in the LIPGENE study.

Findings: From 382 initial gene-phenotype associations between SNPs and any phenotypic variables, 61 (16% of the preselected variables) remained significant after bootstrapping. Top SNPs affecting glucose metabolism variables were as follows: fasting glucose, rs26125 (PPARGC1B); fasting insulin, rs4759277 (LRP1); C-peptide, rs4759277 (LRP1); homeostasis assessment of insulin resistance, rs4759277 (LRP1); quantitative insulin sensitivity check index, rs184003 (AGER); sensitivity index, rs7301876 (ABCC9), acute insulin response to glucose, rs290481 (TCF7L2); and disposition index, rs12691 (CEBPA).

Conclusions: We describe here the top SNPs linked to phenotypic features in carbohydrate metabolism among approximately 1000 candidate gene variations in fasting and postprandial samples of 450 patients with MetS from the LIPGENE study.

Original language	English
Pages (from-to)	E384-E389
Number of pages	6
Journal	Journal of Clinical Endocrinology & Metabolism
Volume	99
Issue number	2
DOIs	https://doi.org/10.1210/jc.2013-3165
Publication status	Published - Feb 2014

Keywords

GENE POLYMORPHISMS
GLUCOSE-METABOLISM
DISEASE
RISK

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10.1210/jc.2013-3165

Cite this

Delgado-Lista, J., Perez-Martinez, P., Solivera, J., Garcia-Rios, A., Perez-Caballero, A. I., Lovegrove, J. A., Drevon, C. A., Defoort, C., Blaak, E. E., Dembinska-Kiec, A., Riserus, U., Herruzo-Gomez, E., Camargo, A., Ordovas, J. M., Roche, H., & Lopez-Miranda, J. (2014). Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study. Journal of Clinical Endocrinology & Metabolism, 99(2), E384-E389. https://doi.org/10.1210/jc.2013-3165

@article{ecd66a84e98d4d84a23cd8b4e9ca2d06,

title = "Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study.",

abstract = "Rationale: Metabolic syndrome (MetS) is a high-prevalence condition characterized by altered energy metabolism, insulin resistance, and elevated cardiovascular risk.Objectives: Although many individual single nucleotide polymorphisms (SNPs) have been linked to certain MetS features, there are few studies analyzing the influence of SNPs on carbohydrate metabolism in MetS.Methods: A total of 904 SNPs (tag SNPs and functional SNPs) were tested for influence on 8 fasting and dynamic markers of carbohydrate metabolism, by performance of an intravenous glucose tolerance test in 450 participants in the LIPGENE study.Findings: From 382 initial gene-phenotype associations between SNPs and any phenotypic variables, 61 (16% of the preselected variables) remained significant after bootstrapping. Top SNPs affecting glucose metabolism variables were as follows: fasting glucose, rs26125 (PPARGC1B); fasting insulin, rs4759277 (LRP1); C-peptide, rs4759277 (LRP1); homeostasis assessment of insulin resistance, rs4759277 (LRP1); quantitative insulin sensitivity check index, rs184003 (AGER); sensitivity index, rs7301876 (ABCC9), acute insulin response to glucose, rs290481 (TCF7L2); and disposition index, rs12691 (CEBPA).Conclusions: We describe here the top SNPs linked to phenotypic features in carbohydrate metabolism among approximately 1000 candidate gene variations in fasting and postprandial samples of 450 patients with MetS from the LIPGENE study.",

keywords = "GENE POLYMORPHISMS, GLUCOSE-METABOLISM, DISEASE, RISK",

author = "J. Delgado-Lista and P. Perez-Martinez and J. Solivera and A. Garcia-Rios and A.I. Perez-Caballero and J.A. Lovegrove and C.A. Drevon and C. Defoort and E.E. Blaak and A. Dembinska-Kiec and U. Riserus and E. Herruzo-Gomez and A. Camargo and J.M. Ordovas and H. Roche and J. Lopez-Miranda",

year = "2014",

month = feb,

doi = "10.1210/jc.2013-3165",

language = "English",

volume = "99",

pages = "E384--E389",

journal = "Journal of Clinical Endocrinology & Metabolism",

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Delgado-Lista, J, Perez-Martinez, P, Solivera, J, Garcia-Rios, A, Perez-Caballero, AI, Lovegrove, JA, Drevon, CA, Defoort, C, Blaak, EE, Dembinska-Kiec, A, Riserus, U, Herruzo-Gomez, E, Camargo, A, Ordovas, JM, Roche, H & Lopez-Miranda, J 2014, 'Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study.', Journal of Clinical Endocrinology & Metabolism, vol. 99, no. 2, pp. E384-E389. https://doi.org/10.1210/jc.2013-3165

TY - JOUR

T1 - Top Single Nucleotide Polymorphisms Affecting Carbohydrate Metabolism in Metabolic Syndrome: From the LIPGENE Study.

AU - Delgado-Lista, J.

AU - Perez-Martinez, P.

AU - Solivera, J.

AU - Garcia-Rios, A.

AU - Perez-Caballero, A.I.

AU - Lovegrove, J.A.

AU - Drevon, C.A.

AU - Defoort, C.

AU - Blaak, E.E.

AU - Dembinska-Kiec, A.

AU - Riserus, U.

AU - Herruzo-Gomez, E.

AU - Camargo, A.

AU - Ordovas, J.M.

AU - Roche, H.

AU - Lopez-Miranda, J.

PY - 2014/2

Y1 - 2014/2

N2 - Rationale: Metabolic syndrome (MetS) is a high-prevalence condition characterized by altered energy metabolism, insulin resistance, and elevated cardiovascular risk.Objectives: Although many individual single nucleotide polymorphisms (SNPs) have been linked to certain MetS features, there are few studies analyzing the influence of SNPs on carbohydrate metabolism in MetS.Methods: A total of 904 SNPs (tag SNPs and functional SNPs) were tested for influence on 8 fasting and dynamic markers of carbohydrate metabolism, by performance of an intravenous glucose tolerance test in 450 participants in the LIPGENE study.Findings: From 382 initial gene-phenotype associations between SNPs and any phenotypic variables, 61 (16% of the preselected variables) remained significant after bootstrapping. Top SNPs affecting glucose metabolism variables were as follows: fasting glucose, rs26125 (PPARGC1B); fasting insulin, rs4759277 (LRP1); C-peptide, rs4759277 (LRP1); homeostasis assessment of insulin resistance, rs4759277 (LRP1); quantitative insulin sensitivity check index, rs184003 (AGER); sensitivity index, rs7301876 (ABCC9), acute insulin response to glucose, rs290481 (TCF7L2); and disposition index, rs12691 (CEBPA).Conclusions: We describe here the top SNPs linked to phenotypic features in carbohydrate metabolism among approximately 1000 candidate gene variations in fasting and postprandial samples of 450 patients with MetS from the LIPGENE study.

AB - Rationale: Metabolic syndrome (MetS) is a high-prevalence condition characterized by altered energy metabolism, insulin resistance, and elevated cardiovascular risk.Objectives: Although many individual single nucleotide polymorphisms (SNPs) have been linked to certain MetS features, there are few studies analyzing the influence of SNPs on carbohydrate metabolism in MetS.Methods: A total of 904 SNPs (tag SNPs and functional SNPs) were tested for influence on 8 fasting and dynamic markers of carbohydrate metabolism, by performance of an intravenous glucose tolerance test in 450 participants in the LIPGENE study.Findings: From 382 initial gene-phenotype associations between SNPs and any phenotypic variables, 61 (16% of the preselected variables) remained significant after bootstrapping. Top SNPs affecting glucose metabolism variables were as follows: fasting glucose, rs26125 (PPARGC1B); fasting insulin, rs4759277 (LRP1); C-peptide, rs4759277 (LRP1); homeostasis assessment of insulin resistance, rs4759277 (LRP1); quantitative insulin sensitivity check index, rs184003 (AGER); sensitivity index, rs7301876 (ABCC9), acute insulin response to glucose, rs290481 (TCF7L2); and disposition index, rs12691 (CEBPA).Conclusions: We describe here the top SNPs linked to phenotypic features in carbohydrate metabolism among approximately 1000 candidate gene variations in fasting and postprandial samples of 450 patients with MetS from the LIPGENE study.

KW - GENE POLYMORPHISMS

KW - GLUCOSE-METABOLISM

KW - DISEASE

KW - RISK

U2 - 10.1210/jc.2013-3165

DO - 10.1210/jc.2013-3165

M3 - Article

C2 - 24203067

SN - 0021-972X

VL - 99

SP - E384-E389

JO - Journal of Clinical Endocrinology & Metabolism

JF - Journal of Clinical Endocrinology & Metabolism

IS - 2

ER -