Allele-specific binding variants causing ChIP-seq peak height of histone modification are not enriched in expression
Mohammad Ghoreishifar1,2, Amanda J Chamberlain3,4, Ruidong Xiang3,5
1Agriculture Victoria Research, AgriBio Centre for AgriBioscience, Bundoora, VIC, 3083, Australia. mohammad.ghoreishifar@agriculture.vic.gov.au.
Genetics, Selection, Evolution : GSE
|June 27, 2024
Summary
We identified DNA sequences that predict allele-specific binding (ASB) QTL, which influence histone modifications in cows. These findings suggest many sites affecting histone modifications may not directly impact gene expression.
Area of Science:
- Genomics
- Epigenetics
- Animal Genetics
Background:
- Genome sequence variants linked to complex traits are often in functional genomic regions, influencing gene expression.
- Linkage disequilibrium complicates pinpointing quantitative trait loci (QTL).
- Allele-specific binding (ASB) QTL (asbQTL) can explain variations in histone modifications.
Purpose of the Study:
- To identify asbQTL impacting histone modifications (H3K4me3, H3K27ac) in cow mammary glands.
- To develop predictive models for variant effects on chromatin immunoprecipitation sequencing (ChIP-seq) peak heights.
Main Methods:
- Utilized gapped k-mer support vector machine, best linear unbiased prediction, and multiple linear regression models.
- Predicted variant impacts on ChIP-seq peak heights to identify candidate asbQTL.
- Assessed prediction accuracy (0.59–0.74) and functional enrichment of candidate asbQTL using independent data.
Main Results:
- Identified candidate asbQTL enriched for ASB compared to non-causal sites (P < 0.01) for H3K4me3.
- Candidate asbQTL did not show enrichment for expression QTL (eQTL), allele-specific expression QTL (aseQTL), or conserved sites.
- Prediction models identified putatively causal sites for asbQTL based on surrounding DNA sequences.
Conclusions:
- Developed a method to identify putatively causal asbQTL using DNA sequence information.
- Results indicate that many histone modification-influencing sites may not directly alter gene expression.
- Statistical power limitations may challenge the distinction between causal ASB sites and linked non-causal sites affecting gene expression.
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