Genetic variation is a key determinant of chromatin accessibility and drives differences in the regulatory landscape of C57BL/6J and 129S1/SvImJ mice

Author:

Mononen Juho1ORCID,Taipale Mari2,Malinen Marjo34,Velidendla Bharadwaja1,Niskanen Einari1ORCID,Levonen Anna-Liisa2ORCID,Ruotsalainen Anna-Kaisa2,Heikkinen Sami1ORCID

Affiliation:

1. Institute of Biomedicine, Faculty of Health Sciences, University of Eastern Finland , Kuopio  FI-70211, Finland

2. A.I. Virtanen Institute, Faculty of Health Sciences, University of Eastern Finland , Kuopio  FI-70211, Finland

3. Department of Environmental and Biological Sciences, Faculty of Science and Forestry, University of Eastern Finland , Joensuu  FI- 80101, Finland

4. Department of Forestry and Environmental Engineering, South-Eastern Finland University of Applied Sciences , Kouvola  FI-45100, Finland

Abstract

Abstract Most common genetic variants associated with disease are located in non-coding regions of the genome. One mechanism by which they function is through altering transcription factor (TF) binding. In this study, we explore how genetic variation is connected to differences in the regulatory landscape of livers from C57BL/6J and 129S1/SvImJ mice fed either chow or a high-fat diet. To identify sites where regulatory variation affects TF binding and nearby gene expression, we employed an integrative analysis of H3K27ac ChIP-seq (active enhancers), ATAC-seq (chromatin accessibility) and RNA-seq (gene expression). We show that, across all these assays, the genetically driven (i.e. strain-specific) differences in the regulatory landscape are more pronounced than those modified by diet. Most notably, our analysis revealed that differentially accessible regions (DARs, N = 29635, FDR < 0.01 and fold change > 50%) are almost always strain-specific and enriched with genetic variation. Moreover, proximal DARs are highly correlated with differentially expressed genes. We also show that TF binding is affected by genetic variation, which we validate experimentally using ChIP-seq for TCF7L2 and CTCF. This study provides detailed insights into how non-coding genetic variation alters the gene regulatory landscape, and demonstrates how this can be used to study the regulatory variation influencing TF binding.

Funder

Academy of Finland

Finnish Diabetes Research Foundation

University of Eastern Finland

Publisher

Oxford University Press (OUP)

Subject

Genetics

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