Gesundheitswesen 2017; 79(08/09): 656-804
DOI: 10.1055/s-0037-1605855
Vorträge
Georg Thieme Verlag KG Stuttgart · New York

Genetic Sum Score of Risk Alleles Associated with Type 2 Diabetes Interacts with Socioeconomic Status in Heinz Nixdorf Recall Study

M Frank
1   Universität Duisburg Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie, Essen
,
N Dragano
2   Universitätsklinikum Düsseldorf, Institut für Medizinische Soziologie, Düsseldorf
,
AJ Forstner
3   Universität Bonn, Institut für Humangenetik, Bonn
4   Universität Bonn, Abteilung für Genomics, Life and Brain Center, Bonn
,
S Moebus
1   Universität Duisburg Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie, Essen
,
KH Jöckel
1   Universität Duisburg Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie, Essen
,
B Schmidt
1   Universität Duisburg Essen, Institut für Medizinische Informatik, Biometrie und Epidemiologie, Essen
› Author Affiliations
Further Information

Publication History

Publication Date:
01 September 2017 (online)

 

Introduction:

Studies exploring the influence of the socioeconomic status (SES) on the expression of disease-related genetic variants are sparse. The aim of this study was to investigate whether a sum score of genetic risk alleles related to Type 2 Diabetes Mellitus (T2D) interacts with indicators of SES in a population-based cohort.

Methods:

A genetic risk score (GRS) was calculated using 73 T2D-associated single nucleotide polymorphisms, selected from the latest genome-wide association meta-analysis, which were genotyped in 4,518 participants (age 45 – 74 years) of the Heinz Nixdorf Recall Study. SES and T2D were assessed at baseline. Years of education and monthly household income were considered as SES indicators. Binary logistic regression models were fitted to estimate sex- and age-adjusted odds ratios (OR) and 95% confidence intervals (95%-CI) for genetic effects and separately for both SES indicators and their association with T2D. Interaction terms were included to assess GRSxSES interaction on the multiplicative scale. To consider interaction on additive scale the relative excess risk due to interaction (RERI) was calculated.

Results:

In the study population a decreased chance of T2D per additional 1000 €/month (OR: 0.85, 95%-CI: 0.74, 0.96) and per additional year of education (OR: 0.91, 95%-CI: 0.88, 0.95) was observed. The genetic effect was: OR 1.05 (95%-CI: 1.04, 1.07) per additional risk allele. Negative GRSxSES interaction was present on the additive scale for income (RERI: -0.51, 95%-CI:-0.62, -0.41). Also, some indication for interaction was observed for education (RERI: -0.27, 95%-CI:-0.77, 0.23). No interaction on multiplicative scale was observed.

Conclusion:

Study results gave indication for negative interaction on the additive scale between genetic factors related to T2D and indicators of SES. This supports the hypothesis that genetic factors have a stronger expression in socioeconomically disadvantaged environments.