ArticleCirculation. Cardiovascular genetics2015
Systems biology with high-throughput sequencing reveals genetic mechanisms underlying the metabolic syndrome in the Lyon hypertensive rat.
Article in Circulation. Cardiovascular genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- USP18 Curbs the Progression of Metabolic Hypertension by Suppressing JAK/STAT Pathway.Cardiovascular toxicology · 2024Article
- Utilizing Two Populations Derived from Tropical Maize for Genome-Wide Association Analysis of Banded Leaf and Sheath Blight Resistance.Plants (Basel, Switzerland) · 2024Article
- The regulatory landscape of multiple brain regions in outbred heterogeneous stock rats.Nucleic acids research · 2022Article
- MOET: a web-based gene set enrichment tool at the Rat Genome Database for multiontology and multispecies analyses.Genetics · 2022Article
- Body Composition and Metabolic Changes in a Lyon Hypertensive Congenic Rat and Identification ofFrontiers in genetics · 2022Article
- Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.Comprehensive Physiology · 2021Article
- Rat models of human diseases and related phenotypes: a systematic inventory of the causative genes.Journal of biomedical science · 2020Review
- Rat Models of Metabolic Syndrome.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Cervical vagal nerve stimulation impairs glucose tolerance and suppresses insulin release in conscious rats.Physiological reports · 2018Article
- Genome variation and conserved regulation identify genomic regions responsible for strain specific phenotypes in rat.BMC genomics · 2017Article
- An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait loci.PLoS computational biology · 2017Article
- Contribution of independent and pleiotropic genetic effects in the metabolic syndrome in a hypertensive rat.PloS one · 2017Article
- From integrative genomics to systems genetics in the rat to link genotypes to phenotypes.Disease models & mechanisms · 2016Review
- Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare.Genetics, selection, evolution : GSE · 2016Review
- Isolation of a Genomic Region Affecting Most Components of Metabolic Syndrome in a Chromosome-16 Congenic Rat Model.PloS one · 2016Article
- PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks.IEEE/ACM transactions on computational biology and bioinformaticsArticle
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe metabolic syndrome (MetS) is a collection of co-occurring complex disorders including obesity, hypertension, dyslipidemia, and insulin resistance. The Lyon hypertensive and Lyon normotensive rats are models of MetS sensitivity and resistance, respectively. To identify genetic determinants and mechanisms underlying MetS, an F2 intercross between Lyon hypertensive and Lyon normotensive was comprehensively studied. METHODS AND
resultsMultidimensional data were obtained including genotypes of 1536 single-nucleotide polymorphisms, 23 physiological traits, and >150 billion nucleotides of RNA-seq reads from the livers of F2 intercross offspring and parental rats. Phenotypic and expression quantitative trait loci (eQTL) were mapped. Application of systems biology methods identified 17 candidate MetS genes. Several putative causal cis-eQTL were identified corresponding with phenotypic QTL loci. We found an eQTL hotspot on rat chromosome 17 that is causally associated with multiple MetS-related traits and found RGD1562963, a gene regulated in cis by this eQTL hotspot, as the most likely eQTL driver gene directly affected by genetic variation between Lyon hypertensive and Lyon normotensive rats.
conclusionsOur study sheds light on the intricate pathogenesis of MetS and demonstrates that systems biology with high-throughput sequencing is a powerful method to study the pathogenesis of complex genetic diseases.
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