ArticleBMC genomics2020
Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity.
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Integrative Principal Component-QTL Mapping Identifies Genetic Modifiers of Tumor and Metabolic Traits inInternational journal of molecular sciences · 2026Article
- Mapping quantitative trait loci underlying body weight changes that act at different times during high-fat diet challenge in collaborative cross mice.Animal models and experimental medicine · 2026Article
- The Power of the Heterogeneous Stock Rat Founder Strains in Modeling Metabolic Disease.Endocrinology · 2023Article
- Lowering fasting blood glucose with non-dialyzable material of cranberry extract is dependent on host genetic background, sex and diet.Animal models and experimental medicine · 2023Article
- Association between the prevalence rates of circadian syndrome and testosterone deficiency in US males: data from NHANES (2011-2016).Frontiers in nutrition · 2023Article
- Multi-Omic Approaches to Identify Genetic Factors in Metabolic Syndrome.Comprehensive Physiology · 2021Article
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 5 countries.
Funding
Abstract
backgroundThe Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity. Although the development of obesity is influenced by environmental factors, underlying genetic mechanisms play a crucial role in the response to these factors. The interplay between the genetic background and the gene expression pattern can provide further insight into this response, but we lack robust and easily reproducible workflows to integrate genomic and transcriptomic information in the CC mouse population.
resultsWe established an automated and reproducible integrative workflow to analyse complex traits in the CC mouse genetic reference panel at the genomic and transcriptomic levels. We implemented the analytical workflow to assess the underlying genetic mechanisms of host susceptibility to diet induced obesity and integrated these results with diet induced changes in the hepatic gene expression of susceptible and resistant mice. Hepatic gene expression differs significantly between obese and non-obese mice, with a significant sex effect, where male and female mice exhibit different responses and coping mechanisms.
conclusionIntegration of the data showed that different genes but similar pathways are involved in the genetic susceptibility and disturbed in diet induced obesity. Genetic mechanisms underlying susceptibility to high-fat diet induced obesity are different in female and male mice. The clear distinction we observed in the systemic response to the high-fat diet challenge and to obesity between male and female mice points to the need for further research into distinct sex-related mechanisms in metabolic disease.
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