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Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads
We introduce Aquila, a new approach to variant discovery in personal genomes, which is critical for uncovering the genetic contributions to health and disease. Aquila uses a reference sequence and linked-read data to generate a high quality diploid genome assembly, from which it then comprehensively...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889865/ https://www.ncbi.nlm.nih.gov/pubmed/33597536 http://dx.doi.org/10.1038/s41467-021-21395-x |
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author | Zhou, Xin Zhang, Lu Weng, Ziming Dill, David L. Sidow, Arend |
author_facet | Zhou, Xin Zhang, Lu Weng, Ziming Dill, David L. Sidow, Arend |
author_sort | Zhou, Xin |
collection | PubMed |
description | We introduce Aquila, a new approach to variant discovery in personal genomes, which is critical for uncovering the genetic contributions to health and disease. Aquila uses a reference sequence and linked-read data to generate a high quality diploid genome assembly, from which it then comprehensively detects and phases personal genetic variation. The contigs of the assemblies from our libraries cover >95% of the human reference genome, with over 98% of that in a diploid state. Thus, the assemblies support detection and accurate genotyping of the most prevalent types of human genetic variation, including single nucleotide polymorphisms (SNPs), small insertions and deletions (small indels), and structural variants (SVs), in all but the most difficult regions. All heterozygous variants are phased in blocks that can approach arm-level length. The final output of Aquila is a diploid and phased personal genome sequence, and a phased Variant Call Format (VCF) file that also contains homozygous and a few unphased heterozygous variants. Aquila represents a cost-effective approach that can be applied to cohorts for variation discovery or association studies, or to single individuals with rare phenotypes that could be caused by SVs or compound heterozygosity. |
format | Online Article Text |
id | pubmed-7889865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78898652021-03-03 Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads Zhou, Xin Zhang, Lu Weng, Ziming Dill, David L. Sidow, Arend Nat Commun Article We introduce Aquila, a new approach to variant discovery in personal genomes, which is critical for uncovering the genetic contributions to health and disease. Aquila uses a reference sequence and linked-read data to generate a high quality diploid genome assembly, from which it then comprehensively detects and phases personal genetic variation. The contigs of the assemblies from our libraries cover >95% of the human reference genome, with over 98% of that in a diploid state. Thus, the assemblies support detection and accurate genotyping of the most prevalent types of human genetic variation, including single nucleotide polymorphisms (SNPs), small insertions and deletions (small indels), and structural variants (SVs), in all but the most difficult regions. All heterozygous variants are phased in blocks that can approach arm-level length. The final output of Aquila is a diploid and phased personal genome sequence, and a phased Variant Call Format (VCF) file that also contains homozygous and a few unphased heterozygous variants. Aquila represents a cost-effective approach that can be applied to cohorts for variation discovery or association studies, or to single individuals with rare phenotypes that could be caused by SVs or compound heterozygosity. Nature Publishing Group UK 2021-02-17 /pmc/articles/PMC7889865/ /pubmed/33597536 http://dx.doi.org/10.1038/s41467-021-21395-x Text en © The Author(s) 2021 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/. |
spellingShingle | Article Zhou, Xin Zhang, Lu Weng, Ziming Dill, David L. Sidow, Arend Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
title | Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
title_full | Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
title_fullStr | Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
title_full_unstemmed | Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
title_short | Aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
title_sort | aquila enables reference-assisted diploid personal genome assembly and comprehensive variant detection based on linked reads |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889865/ https://www.ncbi.nlm.nih.gov/pubmed/33597536 http://dx.doi.org/10.1038/s41467-021-21395-x |
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