Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal Interactions

被引:236
作者
Grubert, Fabian [1 ]
Zaugg, Judith B. [1 ,2 ]
Kasowski, Maya [1 ]
Ursu, Oana [1 ]
Spacek, Damek V. [1 ]
Martin, Alicia R. [1 ]
Greenside, Peyton [3 ]
Srivas, Rohith [1 ]
Phanstiel, Doug H. [1 ]
Pekowska, Aleksandra [2 ]
Heidari, Nastaran [1 ]
Euskirchen, Ghia [1 ]
Huber, Wolfgang [2 ]
Pritchard, Jonathan K. [1 ,4 ,5 ]
Bustamante, Carlos D. [1 ]
Steinmetz, Lars M. [1 ,2 ]
Kundaje, Anshul [1 ,6 ]
Snyder, Michael [1 ]
机构
[1] Stanford Univ, Dept Genet, Sch Med, Stanford, CA 94305 USA
[2] European Mol Biol Lab, D-69117 Heidelberg, Germany
[3] Stanford Univ, Sch Med, Biomed Informat Grad Training Program, Stanford, CA 94305 USA
[4] Stanford Univ, Dept Biol, Stanford, CA 94305 USA
[5] Stanford Univ, Howard Hughes Med Inst, Stanford, CA 94305 USA
[6] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
基金
欧洲研究理事会;
关键词
LONG-RANGE INTERACTION; HUMAN GENOME; SUSCEPTIBILITY LOCI; ALZHEIMERS-DISEASE; CROHNS-DISEASE; HUMAN-CELLS; VARIANTS; DNA; TRANSCRIPTION; METAANALYSIS;
D O I
10.1016/j.cell.2015.07.048
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
Deciphering the impact of genetic variants on gene regulation is fundamental to understanding human disease. Although gene regulation often involves long-range interactions, it is unknown to what extent non-coding genetic variants influence distal molecular phenotypes. Here, we integrate chromatin profiling for three histone marks in lymphoblastoid cell lines (LCLs) from 75 sequenced individuals with LCL-specific Hi-C and ChIA-PET-based chromatin contact maps to uncover one of the largest collections of local and distal histone quantitative trait loci (hQTLs). Distal QTLs are enriched within topologically associated domains and exhibit largely concordant variation of chromatin state coordinated by proximal and distal non-coding genetic variants. Histone QTLs are enriched for common variants associated with autoimmune diseases and enable identification of putative target genes of disease-associated variants from genome-wide association studies. These analyses provide insights into how genetic variation can affect human disease phenotypes by coordinated changes in chromatin at interacting regulatory elements.
引用
收藏
页码:1051 / 1065
页数:15
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