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.
Psychosom Med. 2018 Apr;80(3):252-262. doi: 10.1097/PSY.0000000000000562.
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.
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.
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.
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.
2 型糖尿病(T2DM)的强烈遗传易感性可能会加剧低社会经济地位(SEP)在该疾病发病机制中的负面影响。本研究旨在检验遗传风险评分(GRS)和 SEP 与 T2DM 的横断面和纵向关联及相互作用,并探讨临床和行为危险因素是否可以解释这些关联和相互作用。
我们使用 Lifelines 研究中 13027 名基因分型参与者的数据。GRS 基于与 T2DM 全基因组关联的单核苷酸多态性,并分为三分位。SEP 以教育程度衡量。T2DM 基于生物标志物、记录的药物使用和自我报告。检验了 GRS 和 SEP 与 T2DM 之间的横断面和纵向关联及相互作用。
与低 GRS 和高 SEP 相比,高 GRS 和低 SEP 的组合与 T2DM 的横断面(优势比=3.84,95%置信区间=2.28-6.46)和纵向分析(风险比=2.71,1.39-5.27)关联最强。在横断面分析中观察到高 GRS 和低 SEP 之间存在交互作用(交互归因超额风险=1.85,0.65-3.05),但在纵向分析中没有观察到交互作用。临床和行为危险因素主要解释了观察到的关联和相互作用。
高 GRS 与低 SEP 相结合会增加 T2DM 的风险。这些因素在横断面时相互加剧对方的影响,但在纵向时没有。预防措施应针对该高风险人群的个体和环境因素,以降低 T2DM 的风险。