Please use this identifier to cite or link to this item: https://doi.org/10.1242/dmm.026104
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dc.titleFrom integrative genomics to systems genetics in the rat to link genotypes to phenotypes
dc.contributor.authorMoreno-Moral, A
dc.contributor.authorPetretto, E
dc.date.accessioned2020-09-01T01:01:27Z
dc.date.available2020-09-01T01:01:27Z
dc.date.issued2016
dc.identifier.citationMoreno-Moral, A, Petretto, E (2016). From integrative genomics to systems genetics in the rat to link genotypes to phenotypes. DMM Disease Models and Mechanisms 9 (10) : 1097-1110. ScholarBank@NUS Repository. https://doi.org/10.1242/dmm.026104
dc.identifier.issn17548403
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/173817
dc.description.abstractComplementary to traditional gene mapping approaches used to identify the hereditary components of complex diseases, integrative genomics and systems genetics have emergedas powerful strategies to decipher the key genetic drivers of molecular pathways that underlie disease. Broadly speaking, integrative genomics aims to link cellular-level traits (such as mRNA expression) to the genome to identify their genetic determinants. With the characterization of several cellular-level traits within the same system, the integrative genomics approach evolved into a more comprehensive study design, called systems genetics, which aims to unravel the complex biological networks and pathways involved in disease, and in turn map their genetic control points. The first fully integrated systems genetics study was carried out in rats, and the results, which revealed conserved trans-acting genetic regulation of a pro-inflammatory network relevant to type 1 diabetes, were translated to humans. Many studies using different organisms subsequently stemmed from this example. The aim of this Review is to describe the most recent advances in the fields of integrative genomics and systems genetics applied in the rat, with a focus on studies of complex diseases ranging from inflammatory to cardiometabolic disorders. We aim to provide the genetics community with a comprehensive insight into how the systems genetics approach came to life, starting from the first integrative genomics strategies [such as expression quantitative trait loci (eQTLs) mapping] and concluding with the most sophisticated gene network-based analyses in multiple systems and disease states. Although not limited to studies that have been directly translated to humans, we will focus particularly on the successful investigations in the rat that have led to primary discoveries of genes and pathways relevant to human disease. © 2016. Published by The Company of Biologists Ltd.
dc.sourceUnpaywall 20200831
dc.subjecttranscriptome
dc.subjectcardiovascular disease
dc.subjectcopy number variation
dc.subjectepigenetics
dc.subjectgene expression
dc.subjectgene identification
dc.subjectgene mapping
dc.subjectgene regulatory network
dc.subjectgenetic regulation
dc.subjectgenetics
dc.subjectgenome analysis
dc.subjectgenomics
dc.subjectgenotype phenotype correlation
dc.subjectinflammatory disease
dc.subjectintegrative genomics
dc.subjectmetabolic disorder
dc.subjectmetabolome
dc.subjectmolecular biology
dc.subjectnonhuman
dc.subjectpriority journal
dc.subjectquantitative trait locus
dc.subjectquantitative trait locus mapping
dc.subjectrat
dc.subjectReview
dc.subjectsignal transduction
dc.subjectsystems genetics
dc.subjectanimal
dc.subjectdiseases
dc.subjectgenetic association study
dc.subjectgenetics
dc.subjectgenotype
dc.subjectphenotype
dc.subjectsystems biology
dc.subjectAnimals
dc.subjectDisease
dc.subjectGenetic Association Studies
dc.subjectGenomics
dc.subjectGenotype
dc.subjectPhenotype
dc.subjectRats
dc.subjectSystems Biology
dc.typeReview
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1242/dmm.026104
dc.description.sourcetitleDMM Disease Models and Mechanisms
dc.description.volume9
dc.description.issue10
dc.description.page1097-1110
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