ArticlePhysiological genomics2011
Integrated genomic approaches to identification of candidate genes underlying metabolic and cardiovascular phenotypes in the spontaneously hypertensive rat.
Article in Physiological genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Genetic modulation of protein expression in rat brain.iScience · 2025Article
- Systems genetics approaches for understanding complex traits with relevance for human disease.eLife · 2023Review
- Systems genetics in the rat HXB/BXH family identifies Tti2 as a pleiotropic quantitative trait gene for adult hippocampal neurogenesis and serum glucose.PLoS genetics · 2022Article
- Camk2n1 Is a Negative Regulator of Blood Pressure, Left Ventricular Mass, Insulin Sensitivity, and Promotes Adiposity.Hypertension (Dallas, Tex. : 1979) · 2019Article
- Systems Genetics Approaches in Rat Identify Novel Genes and Gene Networks Associated With Cardiac Conduction.Journal of the American Heart Association · 2018Article
- Genomic approaches for the elucidation of genes and gene networks underlying cardiovascular traits.Biophysical reviews · 2018Review
- Complement Factor B Is a Determinant of Both Metabolic and Cardiovascular Features of Metabolic Syndrome.Hypertension (Dallas, Tex. : 1979) · 2017Article
- Genetic, physiological and comparative genomic studies of hypertension and insulin resistance in the spontaneously hypertensive rat.Disease models & mechanisms · 2017Article
- From integrative genomics to systems genetics in the rat to link genotypes to phenotypes.Disease models & mechanisms · 2016Review
- High-resolution mapping of a novel rat blood pressure locus on chromosome 9 to a region containing the Spp2 gene and colocalization of a QTL for bone mass.Physiological genomics · 2016Article
- Genome-wide identification of long noncoding RNAs in rat models of cardiovascular and renal disease.Hypertension (Dallas, Tex. : 1979) · 2015Article
- Non-coding RNAs and hypertension-unveiling unexpected mechanisms of hypertension by the dark matter of the genome.Current hypertension reviews · 2015Review
- Article
- Dual Linkage of a Locus to Left Ventricular Mass and a Cardiac Gene Co-Expression Network Driven by a Chromosome Domain.Frontiers in cardiovascular medicine · 2014Article
- Integrative genomics in cardiovascular medicine.Cardiovascular research · 2013Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
Abstract
The spontaneously hypertensive rat (SHR) is a widely used rodent model of hypertension and metabolic syndrome. Previously we identified thousands of cis-regulated expression quantitative trait loci (eQTLs) across multiple tissues using a panel of rat recombinant inbred (RI) strains derived from Brown Norway and SHR progenitors. These cis-eQTLs represent potential susceptibility loci underlying physiological and pathophysiological traits manifested in SHR. We have prioritized 60 cis-eQTLs and confirmed differential expression between the parental strains by quantitative PCR in 43 (72%) of the eQTL transcripts. Quantitative trait transcript (QTT) analysis in the RI strains showed highly significant correlation between cis-eQTL transcript abundance and clinically relevant traits such as systolic blood pressure and blood glucose, with the physical location of a subset of the cis-eQTLs colocalizing with "physiological" QTLs (pQTLs) for these same traits. These colocalizing correlated cis-eQTLs (c3-eQTLs) are highly attractive as primary susceptibility loci for the colocalizing pQTLs. Furthermore, sequence analysis of the c3-eQTL genes identified single nucleotide polymorphisms (SNPs) that are predicted to affect transcription factor binding affinity, splicing and protein function. These SNPs, which potentially alter transcript abundance and stability, represent strong candidate factors underlying not just eQTL expression phenotypes, but also the correlated metabolic and physiological traits. In conclusion, by integration of genomic sequence, eQTL and QTT datasets we have identified several genes that are strong positional candidates for pathophysiological traits observed in the SHR strain. These findings provide a basis for the functional testing and ultimate elucidation of the molecular basis of these metabolic and cardiovascular phenotypes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.