Study / S2X4WQUUK2017-05-19

Transversions have larger regulatory effects than transitions

Cong Guo, Ian C. McDowell, Michael Nodzenski, Denise M. Scholtens, Andrew S. Allen et al.

About this study

Background: Transversions (Tv’s) are more likely to alter the amino acid sequence of proteins than transitions (Ts’s), and local deviations in the Ts:Tv ratio are indicative of evolutionary selection on genes. Whether the two different types of mutations have different effects in non-protein-coding sequences remains unknown. Genetic variants primarily impact gene expression by disrupting the binding of transcription factors (TFs) and other DNA-binding proteins. Because Tv’s cause larger changes in the shape of a DNA backbone, we hypothesized that Tv’s would have larger impacts on TF binding and gene expression. Results: Here, we provide multiple lines of evidence demonstrating that Tv’s have larger impacts on regulatory DNA including analyses of TF binding motifs and allele-specific TF binding. In these analyses, we observed a depletion of Tv’s within TF binding motifs and TF binding sites. Using massively parallel population-scale reporter assays, we also provided empirical evidence that Tv’s have larger effects than Ts’s on the activity of human gene regulatory elements. Conclusions: Tv’s are more likely to disrupt TF binding, resulting in larger changes in gene expression. Although the observed differences are small, these findings represent a novel, fundamental property of regulatory variation. Understanding the features of functional non-coding variation could be valuable for revealing the genetic underpinnings of complex traits and diseases in future studies.

Full author list & citation

Cong Guo, Ian C. McDowell, Michael Nodzenski, Denise M. Scholtens, Andrew S. Allen, William L. Lowe, Timothy E. Reddy. Transversions have larger regulatory effects than transitions. 2017-05-19. https://doi.org/10.1186/s12864-017-3785-4

Experiments 1

E2D8051A7

Population-scale STARR-seq of 3q25 DHS haplotypes in HepG2

The POP-STARR library captured haplotypes from 104 DNase-hypersensitive sites at the human 3q25 locus across 760 donors, using 174 custom amplicons and a population of reporter constructs. The pooled plasmid library was transfected into HepG2 cells in three replicate transfections; matched input-plasmid DNA and poly(A) RNA sequencing quantified haplotype regulatory activity.

Standard STARR-seqHumanhg19
Explore data

Raw source data 11 files

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Download all 11 files (ZIP)12864_2017_3785_MOESM1_ESM.docx12864_2017_3785_MOESM2_ESM.xlsx12864_2017_3785_MOESM3_ESM.xlsx12864_2017_3785_MOESM4_ESM.xlsx12864_2017_3785_MOESM5_ESM.xlsx12864_2017_3785_MOESM6_ESM.xlsx12864_2017_3785_MOESM7_ESM.xlsxGSE77743_family.soft.gzGSE77743_Haplotype_effects.txt.gzGSE77743_Haplotypes.fasta.gzsource_notes.txt

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