Please use this identifier to cite or link to this item:
https://doi.org/10.1242/dmm.026104
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dc.title | From integrative genomics to systems genetics in the rat to link genotypes to phenotypes | |
dc.contributor.author | Moreno-Moral, A | |
dc.contributor.author | Petretto, E | |
dc.date.accessioned | 2020-09-01T01:01:27Z | |
dc.date.available | 2020-09-01T01:01:27Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Moreno-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.issn | 17548403 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/173817 | |
dc.description.abstract | Complementary 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.source | Unpaywall 20200831 | |
dc.subject | transcriptome | |
dc.subject | cardiovascular disease | |
dc.subject | copy number variation | |
dc.subject | epigenetics | |
dc.subject | gene expression | |
dc.subject | gene identification | |
dc.subject | gene mapping | |
dc.subject | gene regulatory network | |
dc.subject | genetic regulation | |
dc.subject | genetics | |
dc.subject | genome analysis | |
dc.subject | genomics | |
dc.subject | genotype phenotype correlation | |
dc.subject | inflammatory disease | |
dc.subject | integrative genomics | |
dc.subject | metabolic disorder | |
dc.subject | metabolome | |
dc.subject | molecular biology | |
dc.subject | nonhuman | |
dc.subject | priority journal | |
dc.subject | quantitative trait locus | |
dc.subject | quantitative trait locus mapping | |
dc.subject | rat | |
dc.subject | Review | |
dc.subject | signal transduction | |
dc.subject | systems genetics | |
dc.subject | animal | |
dc.subject | diseases | |
dc.subject | genetic association study | |
dc.subject | genetics | |
dc.subject | genotype | |
dc.subject | phenotype | |
dc.subject | systems biology | |
dc.subject | Animals | |
dc.subject | Disease | |
dc.subject | Genetic Association Studies | |
dc.subject | Genomics | |
dc.subject | Genotype | |
dc.subject | Phenotype | |
dc.subject | Rats | |
dc.subject | Systems Biology | |
dc.type | Review | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1242/dmm.026104 | |
dc.description.sourcetitle | DMM Disease Models and Mechanisms | |
dc.description.volume | 9 | |
dc.description.issue | 10 | |
dc.description.page | 1097-1110 | |
Appears in Collections: | Staff Publications Elements |
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