To further study SEMA3A function in t-AML, we investigated the functional enrichment among genes sharing an expression pattern with SEMA3A. Previously, we developed a phenotype-genotype network analysis (PGNet) algorithm to define a group of genes that share significant concurrence of expression pattern with respect to sample grouping (a phenotype of interest) and gene regulation (a genotype of interest) [15]. Here, SEMA3A is linked to acute myeloid leukemia.