Multi-tissue integrative analysis of personal epigenomes [preprint]
UMass Chan Affiliations
Graduate School of Biomedical SciencesProgram in Bioinformatics and Integrative Biology
Document Type
PreprintPublication Date
2021-04-26Keywords
Genomicsgenetic variants
transcriptional regulation
personal epigenomes
personal genomics
integrative analysis
Bioinformatics
Computational Biology
Genomics
Integrative Biology
Metadata
Show full item recordAbstract
Evaluating the impact of genetic variants on transcriptional regulation is a central goal in biological science that has been constrained by reliance on a single reference genome. To address this, we constructed phased, diploid genomes for four cadaveric donors (using long-read sequencing) and systematically charted noncoding regulatory elements and transcriptional activity across more than 25 tissues from these donors. Integrative analysis revealed over a million variants with allele-specific activity, coordinated, locus-scale allelic imbalances, and structural variants impacting proximal chromatin structure. We relate the personal genome analysis to the ENCODE encyclopedia, annotating allele- and tissue-specific elements that are strongly enriched for variants impacting expression and disease phenotypes. These experimental and statistical approaches, and the corresponding EN-TEx resource, provide a framework for personalized functional genomics.Source
bioRxiv 2021.04.26.441442; doi: https://doi.org/10.1101/2021.04.26.441442. Link to preprint on bioRxiv.
DOI
10.1101/2021.04.26.441442Permanent Link to this Item
http://hdl.handle.net/20.500.14038/29824Notes
This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.
Full author list omitted for brevity. For the full list of authors, see article.
Related Resources
Now published in Cell doi: 10.1016/j.cell.2023.02.018Rights
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.Distribution License
http://creativecommons.org/licenses/by-nc-nd/4.0/ae974a485f413a2113503eed53cd6c53
10.1101/2021.04.26.441442
Scopus Count
Except where otherwise noted, this item's license is described as The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.