bioRxiv preprint doi: https://doi.org/10.1101/266981; this version posted September 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Spatial Chromatin Architecture Alteration by Structural Variations in Human Genomes at Population Scale Michal Sadowski1,3, Agnieszka Kraft1,6, Przemyslaw Szalaj1,4,5, Michal Wlasnowolski1,7, Zhonghui Tang2, Yijun Ruan2*, Dariusz Plewczynski1,2,7,* 1Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland, 2Jackson Laboratory for Genomic Medicine, Farmington, CT, USA, 3Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland, 4Centre for Innovative Research, Medical University of Bialystok, Bialystok, Poland, 5I-BioStat, Hasselt University, Belgium, 6Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097 Warsaw, Poland, 7Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland. *Correspondence:
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[email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/266981; this version posted September 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract This genome-wide study is focused on the impact of structural variants identified in individuals from 26 human populations onto three-dimensional structures of their genomes. We assess the tendency of structural variants to accumulate in spatially interacting genomic segments and design a high-resolution computational algorithm to model the 3D conformational changes resulted by structural variations. We show that differential gene transcription is closely linked to variation in chromatin interaction networks mediated by RNA polymerase II.