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

被引:4
|
作者
Mononen, Juho [1 ]
Taipale, Mari [2 ]
Malinen, Marjo [3 ,4 ]
Velidendla, Bharadwaja [1 ]
Niskanen, Einari [1 ]
Levonen, Anna-Liisa [2 ]
Ruotsalainen, Anna-Kaisa [2 ]
Heikkinen, Sami [1 ]
机构
[1] Univ Eastern Finland, Inst Biomed, Fac Hlth Sci, FI-70211 Kuopio, Finland
[2] Univ Eastern Finland, Virtanen Inst, Fac Hlth Sci, FI-70211 Kuopio, Finland
[3] Univ Eastern Finland, Fac Sci & Forestry, Dept Environm & Biol Sci, FI-80101 Joensuu, Finland
[4] South Eastern Finland Univ Appl Sci, Dept Forestry & Environm Engn, FI-45100 Kouvola, Finland
基金
芬兰科学院;
关键词
SEQ; IDENTIFICATION; OBESITY; TCF7L2; CHOLESTEROL; PACKAGE;
D O I
10.1093/nar/gkad1225
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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. [GRAPHICS]
引用
收藏
页码:2904 / 2923
页数:20
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