A genome-wide map of human genetic interactions inferred from radiation hybrid genotypes

Abstract

Using radiation hybrid genotyping data, 99% of all possible gene pairs across the mammalian genome were tested for interactions based on co-retention frequencies higher (attraction) or lower (repulsion) than chance. Gene interaction networks constructed from six independent data sets overlapped strongly. Combining the data sets resulted in a network of more than seven million interactions, almost all attractive. This network overlapped with protein-protein interaction networks on multiple measures and also confirmed the relationship between essentiality and centrality. In contrast to other biological networks, the radiation hybrid network did not show a scale-free distribution of connectivity but was Gaussian-like, suggesting a closer approach to saturation. The radiation hybrid (RH) network constitutes a platform for understanding the systems biology of the mammalian cell.

Weighted ensemble learning of Bayesian network for gene regulatory networks

“…We chose to use only the instances of healthy patients because the available networks in the literature are generic and show the genes' relationships in different contexts such as heart disease, and insulin and are not specific to the ALS disease. We found that the obtained network contained 66 common edges with the proposed genetic interaction network of Lin et al [40]. Likewise, the same network shared 58 arcs with the co-expression networks 9 proposed in Wu et al [71] and Bild et al [6].…”

Gene correction of HAX1 reversed Kostmann disease phenotype in patient-specific induced pluripotent stem cells

“…For example, the interaction of GSK3A and HCLS1 has been experimentally validated. 34 GSK3A is a crucial player in Wnt signaling and interacts with CTNNB1/LEF1 as well as JUN. 35 CTNNB1 is also among the downregulated genes in HAX1 W44X myeloid progenitors.…”

The role of AUTS2 in neurodevelopment and human evolution

“…A 2010 study used radiation hybrid genotyping data to test for interaction of 99% of all possible gene pairs across the mammalian genome [53]. AUTS2 was the known gene with the greatest number of edges, or connectivity [53].…”