ArticleMammalian genome : official journal of the International Mammalian Genome Society2007
Quantitative trait loci associated with blood pressure of metabolic syndrome in the progeny of NZO/HILtJxC3H/HeJ intercrosses.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 13 citations in OpenAlex.
- Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.Comprehensive Physiology · 2021Article
- Architecture of energy balance traits in emerging lines of the Collaborative Cross.American journal of physiology. Endocrinology and metabolism · 2011Article
- Behavioral and genetic investigations of low exploratory behavior in Il18r1(-/-) mice: we can't always blame it on the targeted gene.Brain, behavior, and immunity · 2010Article
- Metabolic syndrome components in murine models.Endocrine, metabolic & immune disorders drug targets · 2010Review
- Genetic analysis of blood pressure in 8 mouse intercross populations.Hypertension (Dallas, Tex. : 1979) · 2009Article
- Identification of multiple quantitative trait loci affecting the size and shape of the mandible in mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2009Article
- Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies.BMC bioinformatics · 2008Article
- Genetic networks of liver metabolism revealed by integration of metabolic and transcriptional profiling.PLoS genetics · 2008Article
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Authors and funding
11 authors at 3 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
In a previous study in 15 inbred mouse strains, we found highest and lowest systolic blood pressures in NZO/HILtJ mice (metabolic syndrome) and C3H/HeJ mice (common lean strain), respectively. To identify the loci involved in hypertension in metabolic syndrome, we performed quantitative trait locus (QTL) analysis for blood pressure with direction of cross as a covariate in segregating F2 males derived from NZO/HILtJ and C3H/HeJ mice. We detected three suggestive main-effect QTLs affecting systolic and diastolic blood pressures (SBP and DBP). We analyzed the first principle component (PC1) generated from SBP and DBP to investigate blood pressure. In addition to all the suggestive QTLs (Chrs 1, 3, and 8) in SBP and DBP, one suggestive QTL on Chr 4 was found in PC1 in the main scan. Simultaneous search identified two significant epistatic locus pairs (Chrs 1 and 4, Chrs 4 and 8) for PC1. Multiple regression analysis revealed three blood pressure QTLs (Bpq10, 100 cM on Chr 1; Bpq11, 6 cM on Chr 4; Bpq12, 29 cM on Chr 8) accounting for 29.4% of blood pressure variance. These were epistatic interaction QTLs constructing a small network centered on Chr 4, suggesting the importance of genetic interaction for development of hypertension. The blood pressure QTLs on Chrs 1, 4, and 8 were detected repeatedly in multiple studies using common inbred nonobese mouse strains, implying substantial QTL independent of development of obesity and insulin resistance. These results enhance our understanding of complicated genetic factors of hypertension in metabolic diseases.
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