1. Genetic effects on liver chromatin accessibility identify disease regulatory variants
- Author
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Sirintorn Stantripop, Sean Black, Ricardo D’Oliveira Albanus, S. L. Ho, John P. Didion, Beatrice B. Barnabas, Francis S. Collins, Brian P. Schmidt, Peter Orchard, Quino Maduro, Casandra Montemayor, Christina Sison, Karen L. Mohlke, Hannah J Perrin, K. Alaine Broadaway, Alice C. Young, Juyun Kim, Morgan Park, Laura J. Scott, Swarooparani Vadlamudi, Erin G. Schuetz, Karen Schandler, Narisu Narisu, James W. Thomas, Richelle Legaspi, Shelise Brooks, Gerard G. Bouffard, Joel Han, Federico Innocenti, Nancy Riebow, Vivek Rai, Lyudmila Dekhtyar, James C. Mullikin, Stephen C. J. Parker, Michael R. Erdos, Holly Coleman, Tingfen Yan, Catherine A. Masiello, Lori L. Bonnycastle, Jacqueline R. Idol, Amarjit S. Chaudhry, Jennifer C. McDowell, Kevin W Currin, Meghana Vemulapalli, Pamela J. Thomas, and Amy S. Etheridge
- Subjects
Amino Acid Motifs ,Quantitative Trait Loci ,Locus (genetics) ,ATAC-seq ,Genome-wide association study ,Biology ,Quantitative trait locus ,Article ,03 medical and health sciences ,0302 clinical medicine ,Genetics ,Humans ,Promoter Regions, Genetic ,Genetics (clinical) ,030304 developmental biology ,Epigenomics ,0303 health sciences ,Binding Sites ,Genetic Variation ,Chromatin Assembly and Disassembly ,Chromatin ,Enhancer Elements, Genetic ,Liver ,Expression quantitative trait loci ,Liver function ,Transcriptome ,030217 neurology & neurosurgery ,Genome-Wide Association Study ,Protein Binding ,Transcription Factors - Abstract
Identifying the molecular mechanisms by which genome-wide association study (GWAS) loci influence traits remains challenging. Chromatin accessibility quantitative trait loci (caQTLs) help identify GWAS loci that may alter GWAS traits by modulating chromatin structure, but caQTLs have been identified in a limited set of human tissues. Here we mapped caQTLs in human liver tissue in 20 liver samples and identified 3,123 caQTLs. The caQTL variants are enriched in liver tissue promoter and enhancer states and frequently disrupt binding motifs of transcription factors expressed in liver. We predicted target genes for 861 caQTL peaks using proximity, chromatin interactions, correlation with promoter accessibility or gene expression, and colocalization with expression QTLs. Using GWAS signals for 19 liver function and/or cardiometabolic traits, we identified 110 colocalized caQTLs and GWAS signals, 56 of which contained a predicted caPeak target gene. At the LITAF LDL-cholesterol GWAS locus, we validated that a caQTL variant showed allelic differences in protein binding and transcriptional activity. These caQTLs contribute to the epigenomic characterization of human liver and help identify molecular mechanisms and genes at GWAS loci.
- Published
- 2020