AIM To investigate the regulation of Myopalladin(Mypn) and identify its gene network involved in restrictive cardiomyopathy(RCM).METHODS Gene expression values were measured in the heart of a large family of BXD recombinant inbred(RI) mice derived from C57BL/6J and DBA/2J. The proteomics data were collected from Mypn knock-in and knock-out mice. Expression quantitative trait locus(eQ TL) mapping methods and gene enrichment analysis were used to identify Mypn regulation,gene pathway and co-expression networks.RESULTS A wide range of variation was found in expression of Mypn among BXD strains. We identified upstream genetic loci at chromosome 1 and 5 that modulate the expression of Mypn. Candidate genes within these loci include Ncoa2,Vcpip1,Sgk3,and Lgi2. We also identified 15 sarcomeric genes interacting with Mypn and constructed the gene network. Two novel members of this network(Syne1 and Myom1) have been confirmed at the protein level. Several members in this network are already known to relate to cardiomyopathy with some novel genes candidates that could be involved in RCM. CONCLUSION Using systematic genetics approach,we constructed Mypn co-expression networks that define the biological process categories within which similarly regulated genes function. Through this strategy we have found several novel genes that interact with Mypn that may play an important role in the development of RCM. AIM To investigate the regulation of Myopalladin (Mypn) and identify its gene network involved in restrictive cardiomyopathy (RCM) .METHODS Gene expression values ​​were measured in the heart of a large family of BXD recombinant in (RI) mice derived from C57BL / 6J and DBA / 2J. The proteomics data were collected from Mypn knock-in and knock-out mice. Expression quantitative trait locus (eQ TL) mapping methods and gene enrichment analysis were used to identify Mypn regulation, gene pathway and co-expression networks. A broad range of variation was found in expression of Mypn among BXD strains. We identified upstream genetic loci at chromosome 1 and 5 that modulate the expression of Mypn. Candidate genes within these loci include Ncoa2, Vcpip1, Sgk3, and Lgi2. We also identified Two novel members of this network (Syne1 and Myom1) have been confirmed at the protein level. Several members in this network are already kno wn to relate to cardiomyopathy with some novel genes candidates that could be involved in RCM. CONCLUSION Using systematic genetics approach, we constructed Mypn co-expression networks that define the biological process categories within which similarly regulated genes function. novel genes that interact with Mypn that may play an important role in the development of RCM.