Bois noir (BN) is the most widespread European grapevine yellows disease caused by 'Candidatus Phytoplasma solani'. Although our knowledge of the mechanisms of interactions of this pathogenic bacteria with host is largely unknown, the plant-pathogen system of BN is commonly used as a model system for studying grapevine yellows diseases. We applied here a conceptual model of general plant pathology -a disease triangle for describing interactions among the host plant, the pathogen and the environment. We generated a proofof-concept statistical model for disease triangle using original experimental data and different statistical and data mining approaches for a selected system of 'Ca. P. solani' infection of cv. 'Chardonnay' grapevine plants. We monitored individual plants from a single vineyard over a period of six years. Phytoplasma content, the expression of 21 selected grapevine genes and environmental conditions were recorded and related to disease severity. Our model predicts that in described conditions BN is a function of the expression of grapevine gene VvDMR6, summer rainfall and abundance of 'Ca. P. solani'. The greatest impact among elements of the disease triangle is attributed to the pathogen, and is independent of the pathogen titer. We showed that this first de facto representation of the disease triangle is useful for showing disease dynamics over several years and could be applied to other plant-pathogen systems. The overall results of this study will contribute to understanding of 'Ca. P. solani' biology and its interactions with grapevine host.