The association of genetic markers for type 2 diabetes with prediabetic status - cross-sectional data of a diabetes prevention trial

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The association of genetic markers for type 2 diabetes with prediabetic status - cross-sectional data of a diabetes prevention trial. / Zyriax, Birgit-Christiane; Salazar, Ramona; Hoeppner, Wolfgang; Vettorazzi, Eik; Herder, Christian; Windler, Eberhard.

In: PLOS ONE, Vol. 8, No. 9, 01.01.2013, p. e75807.

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@article{bd04ad3a513f414f8a1c8cb45c4d389d,
title = "The association of genetic markers for type 2 diabetes with prediabetic status - cross-sectional data of a diabetes prevention trial",
abstract = "OBJECTIVE: To investigate the association of risk alleles for type 2 diabetes with prediabetes accounting for age, anthropometry, inflammatory markers and lifestyle habits.DESIGN: Cross-sectional study of 129 men and 157 women of medium-sized companies in northern Germany in the Delay of Impaired Glucose Tolerance by a Healthy Lifestyle Trial (DELIGHT).METHODS: Besides established risk factors, 41 single nucleotide polymorphisms (SNPs) that have previously been found to be associated with type 2 diabetes were analyzed. As a nonparametric test a random forest approach was used that allows processing of a large number of predictors. Variables with the highest impact were entered into a multivariate logistic regression model to estimate their association with prediabetes.RESULTS: Individuals with prediabetes were characterized by a slightly, but significantly higher number of type 2 diabetes risk alleles (42.5±4.1 vs. 41.3±4.1, p = 0.013). After adjustment for age and waist circumference 6 SNPs with the highest impact in the random forest analysis were associated with risk for prediabetes in a logistic regression model. At least 5 of these SNPs were positively related to prediabetic status (odds ratio for prediabetes 1.57 per allele (Cl 1.21-2.10, p = 0.001)).CONCLUSIONS: This explorative analysis of data of DELIGHT demonstrates that at least 6 out of 41 genetic variants characteristic of individuals with type 2 diabetes may also be associated with prediabetes. Accumulation of these risk alleles may markedly increase the risk for prediabetes. However, prospective studies are required to corroborate these findings and to demonstrate the predictive value of these genetic variants for the risk to develop prediabetes.",
keywords = "Age Factors, Alleles, Anthropometry, Cross-Sectional Studies, Diabetes Mellitus, Type 2, Female, Genetic Markers, Germany, Humans, Life Style, Logistic Models, Male, Odds Ratio, Polymorphism, Single Nucleotide, Prediabetic State, Risk Factors, Waist Circumference",
author = "Birgit-Christiane Zyriax and Ramona Salazar and Wolfgang Hoeppner and Eik Vettorazzi and Christian Herder and Eberhard Windler",
year = "2013",
month = jan,
day = "1",
doi = "10.1371/journal.pone.0075807",
language = "English",
volume = "8",
pages = "e75807",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "9",

}

RIS

TY - JOUR

T1 - The association of genetic markers for type 2 diabetes with prediabetic status - cross-sectional data of a diabetes prevention trial

AU - Zyriax, Birgit-Christiane

AU - Salazar, Ramona

AU - Hoeppner, Wolfgang

AU - Vettorazzi, Eik

AU - Herder, Christian

AU - Windler, Eberhard

PY - 2013/1/1

Y1 - 2013/1/1

N2 - OBJECTIVE: To investigate the association of risk alleles for type 2 diabetes with prediabetes accounting for age, anthropometry, inflammatory markers and lifestyle habits.DESIGN: Cross-sectional study of 129 men and 157 women of medium-sized companies in northern Germany in the Delay of Impaired Glucose Tolerance by a Healthy Lifestyle Trial (DELIGHT).METHODS: Besides established risk factors, 41 single nucleotide polymorphisms (SNPs) that have previously been found to be associated with type 2 diabetes were analyzed. As a nonparametric test a random forest approach was used that allows processing of a large number of predictors. Variables with the highest impact were entered into a multivariate logistic regression model to estimate their association with prediabetes.RESULTS: Individuals with prediabetes were characterized by a slightly, but significantly higher number of type 2 diabetes risk alleles (42.5±4.1 vs. 41.3±4.1, p = 0.013). After adjustment for age and waist circumference 6 SNPs with the highest impact in the random forest analysis were associated with risk for prediabetes in a logistic regression model. At least 5 of these SNPs were positively related to prediabetic status (odds ratio for prediabetes 1.57 per allele (Cl 1.21-2.10, p = 0.001)).CONCLUSIONS: This explorative analysis of data of DELIGHT demonstrates that at least 6 out of 41 genetic variants characteristic of individuals with type 2 diabetes may also be associated with prediabetes. Accumulation of these risk alleles may markedly increase the risk for prediabetes. However, prospective studies are required to corroborate these findings and to demonstrate the predictive value of these genetic variants for the risk to develop prediabetes.

AB - OBJECTIVE: To investigate the association of risk alleles for type 2 diabetes with prediabetes accounting for age, anthropometry, inflammatory markers and lifestyle habits.DESIGN: Cross-sectional study of 129 men and 157 women of medium-sized companies in northern Germany in the Delay of Impaired Glucose Tolerance by a Healthy Lifestyle Trial (DELIGHT).METHODS: Besides established risk factors, 41 single nucleotide polymorphisms (SNPs) that have previously been found to be associated with type 2 diabetes were analyzed. As a nonparametric test a random forest approach was used that allows processing of a large number of predictors. Variables with the highest impact were entered into a multivariate logistic regression model to estimate their association with prediabetes.RESULTS: Individuals with prediabetes were characterized by a slightly, but significantly higher number of type 2 diabetes risk alleles (42.5±4.1 vs. 41.3±4.1, p = 0.013). After adjustment for age and waist circumference 6 SNPs with the highest impact in the random forest analysis were associated with risk for prediabetes in a logistic regression model. At least 5 of these SNPs were positively related to prediabetic status (odds ratio for prediabetes 1.57 per allele (Cl 1.21-2.10, p = 0.001)).CONCLUSIONS: This explorative analysis of data of DELIGHT demonstrates that at least 6 out of 41 genetic variants characteristic of individuals with type 2 diabetes may also be associated with prediabetes. Accumulation of these risk alleles may markedly increase the risk for prediabetes. However, prospective studies are required to corroborate these findings and to demonstrate the predictive value of these genetic variants for the risk to develop prediabetes.

KW - Age Factors

KW - Alleles

KW - Anthropometry

KW - Cross-Sectional Studies

KW - Diabetes Mellitus, Type 2

KW - Female

KW - Genetic Markers

KW - Germany

KW - Humans

KW - Life Style

KW - Logistic Models

KW - Male

KW - Odds Ratio

KW - Polymorphism, Single Nucleotide

KW - Prediabetic State

KW - Risk Factors

KW - Waist Circumference

U2 - 10.1371/journal.pone.0075807

DO - 10.1371/journal.pone.0075807

M3 - SCORING: Journal article

C2 - 24098730

VL - 8

SP - e75807

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 9

ER -