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The Interaction of Genetic Predisposition and Socioeconomic Position With Type 2 Diabetes Mellitus: Cross-Sectional and Longitudinal Analyses From the Lifelines Cohort and Biobank Study

van Zon, Sander, K.R., MSc; Reijneveld, Sijmen, A., MD, PhD; van der Most, Peter, J., MSc; Swertz, Morris, A., PhD; Bültmann, Ute, PhD; Snieder, Harold, PhD

doi: 10.1097/PSY.0000000000000562
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Objective A strong genetic predisposition for type 2 diabetes mellitus (T2DM) may aggravate the negative effects of low socioeconomic position (SEP) in the etiology of the disorder. This study aimed to examine cross-sectional and longitudinal associations and interactions of a genetic risk score (GRS) and SEP with T2DM and to investigate whether clinical and behavioral risk factors can explain these associations and interactions.

Methods We used data from 13,027 genotyped participants from the Lifelines study. The GRS was based on single-nucleotide polymorphisms genome-wide associated with T2DM and was categorized into tertiles. SEP was measured as educational level. T2DM was based on biological markers, recorded medication use, and self-reports. Cross-sectional and longitudinal associations and interactions between the GRS and SEP on T2DM were examined.

Results The combination of a high GRS and low SEP had the strongest association with T2DM in cross-sectional (odds ratio = 3.84, 95% confidence interval = 2.28–6.46) and longitudinal analyses (hazard ratio = 2.71, 1.39–5.27), compared with a low GRS and high SEP. Interaction between a high GRS and a low SEP was observed in cross-sectional (relative excess risk due to interaction = 1.85, 0.65–3.05) but not in longitudinal analyses. Clinical and behavioral risk factors mostly explained the observed associations and interactions.

Conclusions A high GRS combined with a low SEP provides the highest risk for T2DM. These factors also exacerbated each other's impact cross-sectionally but not longitudinally. Preventive measures should target individual and contextual factors of this high-risk group to reduce the risk of T2DM.

From the Department of Health Sciences (van Zon, Reijneveld, Bültmann), Community and Occupational Medicine, University of Groningen, University Medical Center Groningen; Department of Epidemiology (van der Most, Snieder), Unit of Genetic Epidemiology and Bioinformatics, University of Groningen, University Medical Center Groningen; Department of Genetics (Swertz), University of Groningen, University Medical Center Groningen; and Genomics Coordination Center (Swertz), University of Groningen, University Medical Center Groningen, the Netherlands.

Address correspondence to Sander K. R. van Zon, MSc, Department of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, Groningen, the Netherlands. E-mail: s.k.r.van.zon@umcg.nl

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Received for publication June 21, 2017; revision received October 26, 2017.

Copyright © 2018 by American Psychosomatic Society
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