Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can be directly observed in Lynch syndrome. Promoter methylation in BRCA1 and RAD51C is a likely driver behind homologous recombination deficiency where no coding driver mutation was found. This dataset demonstrates applications for long-read sequencing in precision medicine and is available as a resource for developing analytical approaches using this technology.

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Publication Details

Journal
Cell Genomics
Published
2024-10-14
DOI
https://doi.org/10.1016/j.xgen.2024.100674
Citations
26
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
6.08

Funders

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article

Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes

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26 citations
Cell Genomics
Epigenetics and DNA Methylation
6.08
article

Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes

James Hopkins, Glenn Chang, Pawan Pandoh, Luis F. Paulin, Richard Corbett, Erin Pleasance, Tina Wong, Connor Frey, Kasmintan A. Schrader, Signe MacLennan, Eleanor Lewis, Kieran O’Neill, Jessica Nelson, Reanne Bowlby, Fritz Joachim Sedlazeck, Vahid Akbari, Katherine Dixon, Stephen Yip, Cameron J. Grisdale, Melissa K. McConechy, Andrew J. Mungall, Veronika Csizmók, Robin Coope, Dean Cheng, Vanessa Porter, Duane E. Smailus, Marco A. Marra, John H. Dupuis, Luka Culibrk, Janessa Laskin, Steven J.M. Jones, Richard A. Moore, Karen Mungall, Yaoqing Shen, Laura M. Williamson, Eric Chuah, Jeremy Fan, Andrew Galbraith
article en
26 citations

Abstract

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can be directly observed in Lynch syndrome. Promoter methylation in BRCA1 and RAD51C is a likely driver behind homologous recombination deficiency where no coding driver mutation was found. This dataset demonstrates applications for long-read sequencing in precision medicine and is available as a resource for developing analytical approaches using this technology.

Cell GenomicsVol. 4(11)
University of British Columbia (CA), Baylor College of Medicine (US), Canada's Michael Smith Genome Sciences Centre (CA)
Genome Canada, Canada Foundation for Innovation, Genome British Columbia, Terry Fox Foundation, Terry Fox Research Institute, BC Cancer Foundation, National Institutes of Health, Canadian Institutes of Health Research, Canadian Cancer Society Research Institute, British Columbia Knowledge Development Fund
Openalex Percentile: Top 3%
Epigenetics and DNA Methylation
6.08
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