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.

Highlights

  • The Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity

  • Data stratification It is well documented that obesity and obesity-related health complications are affected by gender, and that sex-specific differences have a genetic basis and cannot be solely attributed to differential hormonal regulation [28]

  • This finding led to the conclusion that the observed separation in the principal component analysis performed, was the result of genderspecific differences, meaning that a straightforward approach would be prone to confounding biases

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Summary

Introduction

The Collaborative Cross (CC) mouse population is a valuable resource to study the genetic basis of complex traits, such as obesity. The CC resource was developed to facilitate the study of the genetic basis of complex traits, and serve as a uniquely powerful resource for the mapping and integration of various phenotypic and genotypic data [1]. Underlying genetic mechanisms are involved in determining the host response to these factors with the rate of heritability of body mass index (BMI) ranging from 40 to 70% in various studies. The CC panel is an experimental population that aids with the dissection of the genetic mechanisms underlying susceptibility to complex traits, such as obesity. QTL mapping results can be strengthened and enriched through integration of RNA-seq data to identify gene expression differences in susceptible versus resistant individuals

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