Fig. 2: Overview of the GNN-based genetic mapping pipeline for automated mouse genetic discovery69.
From: Twenty-first century mouse genetics is again at an inflection point
Left: computational genetic mapping identifies candidate genes whose allelic patterns correlate with a phenotypic response pattern exhibited by inbred strains (as determined by the genetic association P value). Middle: the relationship between identified candidate genes and the analyzed phenotype is assessed using a multimodal graph, which displays the relationships between the candidate genes and the analyzed phenotype (based upon analysis of 29 million published papers), and their relationship with other genes that are known to be associated with the phenotype (that is, known disease gene) based on analysis of protein–protein networks and protein structure features. Right: the results can also be displayed on a two-dimensional graph with axes that show the genetic association P value (x axis) and the GNNHap determination of the strength of the relationship between each candidate gene and the phenotype (y axis). Each candidate gene is indicated by a dot, and the red dot is the probable causative gene based upon the strength of its genetic association and relationship with the analyzed phenotype.
