Fig. 2

Overview of statistically significant associations between plasma metabolites and lipoproteins and phenotypes characterized in the Nagahama Study population. 1H NMR metabolomics was used to quantify 28 metabolites and 112 lipoprotein classes and subclasses. A total of 18 metabolites and 111 lipoproteins passed quality check (QC) and were used to identify 907 statistically significant associations (p < 4.11 × 10–7) with intermediate phenotypes of chronic diseases characterized in 302 subjects of the Nagahama Study population. The percentage of associations with phenotype categories (A) and the number of associated compounds for each phenotype (B) are shown. In Figure (A), each label indicates the name of the measurement category, the percentage of metabolite-phenotype associations among the 907 significant associations, and the association count. BMI, Body Mass Index; CAVI, Cardio-Ankle Vascular Index; DBP, Diastolic Blood Pressure; FIVC, Forced Inspiratory Vital Capacity; R-, right; SpO2, blood oxygen saturation levels during sleep.