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Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes
Advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variation at various scales, from smaller tandem repeats to megabase rearrangements, acr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406601/ https://www.ncbi.nlm.nih.gov/pubmed/37365340 http://dx.doi.org/10.1038/s41592-023-01914-y |
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author | Chin, Chen-Shan Behera, Sairam Khalak, Asif Sedlazeck, Fritz J. Sudmant, Peter H. Wagner, Justin Zook, Justin M. |
author_facet | Chin, Chen-Shan Behera, Sairam Khalak, Asif Sedlazeck, Fritz J. Sudmant, Peter H. Wagner, Justin Zook, Justin M. |
author_sort | Chin, Chen-Shan |
collection | PubMed |
description | Advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variation at various scales, from smaller tandem repeats to megabase rearrangements, across many human genomes. We present a PanGenome Research Tool Kit (PGR-TK) enabling analyses of complex pangenome structural and haplotype variation at multiple scales. We apply the graph decomposition methods in PGR-TK to the class II major histocompatibility complex demonstrating the importance of the human pangenome for analyzing complicated regions. Moreover, we investigate the Y-chromosome genes, DAZ1/DAZ2/DAZ3/DAZ4, of which structural variants have been linked to male infertility, and X-chromosome genes OPN1LW and OPN1MW linked to eye disorders. We further showcase PGR-TK across 395 complex repetitive medically important genes. This highlights the power of PGR-TK to resolve complex variation in regions of the genome that were previously too complex to analyze. |
format | Online Article Text |
id | pubmed-10406601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-104066012023-08-09 Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes Chin, Chen-Shan Behera, Sairam Khalak, Asif Sedlazeck, Fritz J. Sudmant, Peter H. Wagner, Justin Zook, Justin M. Nat Methods Article Advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variation at various scales, from smaller tandem repeats to megabase rearrangements, across many human genomes. We present a PanGenome Research Tool Kit (PGR-TK) enabling analyses of complex pangenome structural and haplotype variation at multiple scales. We apply the graph decomposition methods in PGR-TK to the class II major histocompatibility complex demonstrating the importance of the human pangenome for analyzing complicated regions. Moreover, we investigate the Y-chromosome genes, DAZ1/DAZ2/DAZ3/DAZ4, of which structural variants have been linked to male infertility, and X-chromosome genes OPN1LW and OPN1MW linked to eye disorders. We further showcase PGR-TK across 395 complex repetitive medically important genes. This highlights the power of PGR-TK to resolve complex variation in regions of the genome that were previously too complex to analyze. Nature Publishing Group US 2023-06-26 2023 /pmc/articles/PMC10406601/ /pubmed/37365340 http://dx.doi.org/10.1038/s41592-023-01914-y Text en © The Author(s), under exclusive licence to Springer Nature America, Inc. 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chin, Chen-Shan Behera, Sairam Khalak, Asif Sedlazeck, Fritz J. Sudmant, Peter H. Wagner, Justin Zook, Justin M. Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
title | Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
title_full | Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
title_fullStr | Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
title_full_unstemmed | Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
title_short | Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
title_sort | multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406601/ https://www.ncbi.nlm.nih.gov/pubmed/37365340 http://dx.doi.org/10.1038/s41592-023-01914-y |
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