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BMC Public Health

, 14:609

Chronic Disease epidemiology

Abstract

BackgroundThe relevance of disease-related genetic variants for the explanation of social inequalities in complex diseases is unclear and empirical analyses are largely missing. The aim of our study was to examine whether genetic variants predisposing to diabetes mellitus are associated with socioeconomic status in a population-based cohort.

MethodsWe genotyped 11 selected diabetes-related single nucleotide polymorphisms in 4655 participants age 45-75 years of the Heinz Nixdorf Recall study. Diabetes status was self-reported or defined by blood glucose levels. Education, income and paternal occupation were assessed as indicators of socioeconomic status. Multiple regression analyses were used to examine the association of socioeconomic status and diabetes by estimating sex-specific and age-adjusted prevalence ratios and their corresponding 95%-confidence intervals. To explore the relationship between individual single nucleotide polymorphisms and socioeconomic status sex- and age-adjusted odds ratios were computed. We adjusted the alpha-level for multiple testing of 11 single nucleotide polymorphisms using Bonferroni’s method αBF ~ 0.005. In addition, we explored the association of a genetic risk score with socioeconomic status.

ResultsSocial inequalities in diabetes were observed for all indicators of socioeconomic status. However, there were no significant associations between individual diabetes-related risk alleles and socioeconomic status with odds ratios ranging from 0.87 to 1.23. Similarly, the genetic risk score analysis revealed no evidence for an association.

ConclusionsOur data provide no evidence for an association between 11 diabetes-related risk alleles and different indicators of socioeconomic status in a population-based cohort, suggesting that the explored genetic variants do not contribute to health inequalities in diabetes.

KeywordsHealth inequalities Diabetes mellitus Genetics of complex diseases Electronic supplementary materialThe online version of this article doi:10.1186-1471-2458-14-609 contains supplementary material, which is available to authorized users.

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Autor: Börge Schmidt - Nico Dragano - André Scherag - Sonali Pechlivanis - Per Hoffmann - Markus M Nöthen - Raimund Erbel - Ka

Fuente: https://link.springer.com/



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