Interaction between coffee consumption and polygenic risk score in relation to diabetes: insights from the Maastricht study.

Aims: This study investigated the associations of polygenic risk score (PRS) and coffee consumption, as well as their interaction, with prediabetes and type 2 Diabetes Mellitus (T2DM) among participants in the southern Netherlands.

Methods: 7668 participants were classified as normal glucose metabolism (NGM), prediabetes, or T2DM based on World Health Organization 2006 criteria. PRS (423 T2DM-related single nucleotide polymorphisms) and coffee consumption (via food frequency questionnaire) were categorized into tertiles (low, medium, and high) based on the population distribution. Multinomial logistic regression and dose-response analyses were performed to evaluate the cross-sectional associations between PRS and coffee consumption with prediabetes and T2DM.

Results: Fully adjusted analyses indicated that medium and high coffee consumption were associated with lower odds of prediabetes (odds ratios [ORs]: 0.80; 95% CI: 0.69, 0.92 and 0.83; 95% CI: 0.72, 0.96) and T2DM (ORs: 0.80; 95% CI: 0.70, 0.91 and 0.80; 95% CI: 0.70, 0.91). U-shaped associations were observed for both prediabetes and T2DM, with the overlapping range of 2.9-6.9 cups/day statistically associated with lower odds (OR < 1) for both conditions. Additionally, participants in the PRS group had higher odds of prediabetes (OR: 1.58; 95% CI: 1.35, 1.86) and T2DM (OR: 3.16; 95% CI: 2.80, 3.56) compared to the low PRS group. No significant interaction was found between PRS and coffee consumption (P = 0.21).

Conclusions: No significant interaction was observed between coffee consumption and PRS for prediabetes and T2DM. Coffee consumption was associated with the prevalence of both conditions in a pattern that may be U-shaped. However, these associations appear to be population-specific and require validation in diverse populations to clarify gene-lifestyle interactions.