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Effects of sequence variation on differential allelic transcription factor occupancy and gene expression
Timothy E. Reddy; Jason Gertz; Florencia Pauli; Katerina S. Kucera; Katherine E. Varley; Kimberly M. Newberry; Georgi K. Marinov; Ali Mortazavi; Brian A. Williams; Lingyun Song; et al. (Profiled Authors: Gregory E. Crawford; Huntington Faxon Willard; Timothy E Reddy)
Genome Research. 2012;22(5):860-869.Abstract
A complex interplay between transcription factors (TFs) and the genome regulates transcription. However, connecting variation in genome sequence with variation in TF binding and gene expression is challenging due to environmental differences between individuals and cell types. To address this problem, we measured genome-wide differential allelic occupancy of 24 TFs and EP300 in a human lymphoblastoid cell line GM12878. Overall, 5% of human TF binding sites have an allelic imbalance in occupancy. At many sites, TFs clustered in TF-binding hubs on the same homolog in especially open chromatin. While genetic variation in core TF binding motifs generally resulted in large allelic differences in TF occupancy, most allelic differences in occupancy were subtle and associated with disruption of weak or noncanonical motifs. We also measured genome-wide differential allelic expression of genes with and without heterozygous exonic variants in the same cells. We found that genes with differential allelic expression were overall less expressed both in GM12878 cells and in unrelated human cell lines. Comparing TF occupancy with expression, we found strong association between allelic occupancy and expression within 100 bp of transcription start sites (TSSs), and weak association up to 100 kb from TSSs. Sites of differential allelic occupancy were significantly enriched for variants associated with disease, particularly autoimmune disease, suggesting that allelic differences in TF occupancy give functional insights into intergenic variants associated with disease. Our results have the potential to increase the power and interpretability of association studies by targeting functional intergenic variants in addition to protein coding sequences. © 2012, Published by Cold Spring Harbor Laboratory Press.
PMID: 22300769 PMCID: PMC3337432
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