Literature DB >> 26300124

Population Variation and Genetic Control of Modular Chromatin Architecture in Humans.

Sebastian M Waszak1, Olivier Delaneau2, Andreas R Gschwind3, Helena Kilpinen2, Sunil K Raghav4, Robert M Witwicki5, Andrea Orioli5, Michael Wiederkehr5, Nikolaos I Panousis2, Alisa Yurovsky2, Luciana Romano-Palumbo6, Alexandra Planchon6, Deborah Bielser6, Ismael Padioleau2, Gilles Udin4, Sarah Thurnheer7, David Hacker7, Nouria Hernandez5, Alexandre Reymond5, Bart Deplancke8, Emmanouil T Dermitzakis9.   

Abstract

Chromatin state variation at gene regulatory elements is abundant across individuals, yet we understand little about the genetic basis of this variability. Here, we profiled several histone modifications, the transcription factor (TF) PU.1, RNA polymerase II, and gene expression in lymphoblastoid cell lines from 47 whole-genome sequenced individuals. We observed that distinct cis-regulatory elements exhibit coordinated chromatin variation across individuals in the form of variable chromatin modules (VCMs) at sub-Mb scale. VCMs were associated with thousands of genes and preferentially cluster within chromosomal contact domains. We mapped strong proximal and weak, yet more ubiquitous, distal-acting chromatin quantitative trait loci (cQTL) that frequently explain this variation. cQTLs were associated with molecular activity at clusters of cis-regulatory elements and mapped preferentially within TF-bound regions. We propose that local, sequence-independent chromatin variation emerges as a result of genetic perturbations in cooperative interactions between cis-regulatory elements that are located within the same genomic domain.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26300124     DOI: 10.1016/j.cell.2015.08.001

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  105 in total

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Journal:  Nat Rev Genet       Date:  2015-09-08       Impact factor: 53.242

Review 2.  Regulation of disease-associated gene expression in the 3D genome.

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Journal:  Nat Rev Mol Cell Biol       Date:  2016-11-09       Impact factor: 94.444

Review 3.  Down syndrome and the complexity of genome dosage imbalance.

Authors:  Stylianos E Antonarakis
Journal:  Nat Rev Genet       Date:  2016-12-28       Impact factor: 53.242

Review 4.  Organization and function of the 3D genome.

Authors:  Boyan Bonev; Giacomo Cavalli
Journal:  Nat Rev Genet       Date:  2016-10-14       Impact factor: 53.242

Review 5.  Druggable Transcriptional Networks in the Human Neurogenic Epigenome.

Authors:  Gerald A Higgins; Aaron M Williams; Alex S Ade; Hasan B Alam; Brian D Athey
Journal:  Pharmacol Rev       Date:  2019-10       Impact factor: 25.468

6.  Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci.

Authors:  Vitor Onuchic; Eugene Lurie; Ivenise Carrero; Piotr Pawliczek; Ronak Y Patel; Joel Rozowsky; Timur Galeev; Zhuoyi Huang; Robert C Altshuler; Zhizhuo Zhang; R Alan Harris; Cristian Coarfa; Lillian Ashmore; Jessica W Bertol; Walid D Fakhouri; Fuli Yu; Manolis Kellis; Mark Gerstein; Aleksandar Milosavljevic
Journal:  Science       Date:  2018-08-23       Impact factor: 47.728

7.  Genetic and epigenetic determinants of inter-individual variability in responses to toxicants.

Authors:  Lauren Lewis; Gregory E Crawford; Terrence S Furey; Ivan Rusyn
Journal:  Curr Opin Toxicol       Date:  2017-09-12

8.  Pooled ChIP-Seq Links Variation in Transcription Factor Binding to Complex Disease Risk.

Authors:  Ashley K Tehranchi; Marsha Myrthil; Trevor Martin; Brian L Hie; David Golan; Hunter B Fraser
Journal:  Cell       Date:  2016-04-14       Impact factor: 41.582

Review 9.  Recent advances in understanding nuclear size and shape.

Authors:  Richik N Mukherjee; Pan Chen; Daniel L Levy
Journal:  Nucleus       Date:  2016-03-10       Impact factor: 4.197

Review 10.  Chromatin Domains: The Unit of Chromosome Organization.

Authors:  Jesse R Dixon; David U Gorkin; Bing Ren
Journal:  Mol Cell       Date:  2016-06-02       Impact factor: 17.970

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