Figure 11.

Workflow for generating system genetic datasets of cellular, molecular, and clinical trait data combined to analyze correlations between malocclusion and class II phenotypes. By integrating SNP genotype data, RNA expression, the regulatory genomic regions implicated in phenotypic variations of monitored traits, can be identified using QTL mapping in CC mouse models and humans. Combining these data with subsequent candidate gene association studies in humans has the potential to identify susceptibility genes associated with the development of class II malocclusion in humans.