Theory in Biosciences

, Volume 132, Issue 1, pp 1–16 | Cite as

Systems genetics in “-omics” era: current and future development



The systems genetics is an emerging discipline that integrates high-throughput expression profiling technology and systems biology approaches for revealing the molecular mechanism of complex traits, and will improve our understanding of gene functions in the biochemical pathway and genetic interactions between biological molecules. With the rapid advances of microarray analysis technologies, bioinformatics is extensively used in the studies of gene functions, SNP–SNP genetic interactions, LD block–block interactions, miRNA–mRNA interactions, DNA–protein interactions, protein–protein interactions, and functional mapping for LD blocks. Based on bioinformatics panel, which can integrate “-omics” datasets to extract systems knowledge and useful information for explaining the molecular mechanism of complex traits, systems genetics is all about to enhance our understanding of biological processes. Systems biology has provided systems level recognition of various biological phenomena, and constructed the scientific background for the development of systems genetics. In addition, the next-generation sequencing technology and post-genome wide association studies empower the discovery of new gene and rare variants. The integration of different strategies will help to propose novel hypothesis and perfect the theoretical framework of systems genetics, which will make contribution to the future development of systems genetics, and open up a whole new area of genetics.


Systems genetics Genome-wide association studies High-throughput technology Genetic network 



Anaphase promoting complex


Activity pathway networks


Biclustering function enrichment analysis toolbox


The collaborative cross


Copy number eQTLs


Expression quantitative trait loci


Genome-wide association studies


Linkage disequilibrium


Loss of heterozygosity


Quantitative trait locus


Protein quantitative trait locus


Methyl quantitative trait locus


Metabolite quantitative trait locus


Protein–protein interaction


Radiation hybrid


Single nucleotide polymorphisms


Proton nuclear magnetic resonance


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© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Key Laboratory of Catalysis Science and Technology of Chongqing Education Commission, College of Environmental and Biological EngineeringChongqing Technology and Business UniversityChongqingPeople’s Republic of China

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