Cargando…
Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing
AIM: Whole-genome methylation sequencing carries both DNA methylation and structural variant information (single nucleotide variant [SNV]; copy number variant [CNV]); however, limited data is available on the reliability of obtaining this information simultaneously from low-input DNA using various l...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072131/ https://www.ncbi.nlm.nih.gov/pubmed/36919677 http://dx.doi.org/10.2217/epi-2022-0453 |
_version_ | 1785019320149999616 |
---|---|
author | Sun, Zhifu Behati, Saurabh Wang, Panwen Bhagwate, Aditya McDonough, Samantha Wang, Vivian Taylor, William Cunningham, Julie Kisiel, John |
author_facet | Sun, Zhifu Behati, Saurabh Wang, Panwen Bhagwate, Aditya McDonough, Samantha Wang, Vivian Taylor, William Cunningham, Julie Kisiel, John |
author_sort | Sun, Zhifu |
collection | PubMed |
description | AIM: Whole-genome methylation sequencing carries both DNA methylation and structural variant information (single nucleotide variant [SNV]; copy number variant [CNV]); however, limited data is available on the reliability of obtaining this information simultaneously from low-input DNA using various library preparation and sequencing protocols. METHODS: A HapMap NA12878 sample was sequenced with three protocols (EM-sequencing, QIA-sequencing and Swift-sequencing) and their performance was compared on CpG methylation measurement and SNV and CNV detection. RESULTS: At low DNA input (10–25 ng), EM-sequencing was superior in almost all metrics except CNV detection where all protocols were similar. EM-sequencing captured the highest number of CpGs and true SNVs. CONCLUSION: EM-sequencing is suitable to detect methylation, SNVs and CNVs from single sequencing with low-input DNA. |
format | Online Article Text |
id | pubmed-10072131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-100721312023-04-05 Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing Sun, Zhifu Behati, Saurabh Wang, Panwen Bhagwate, Aditya McDonough, Samantha Wang, Vivian Taylor, William Cunningham, Julie Kisiel, John Epigenomics Research Article AIM: Whole-genome methylation sequencing carries both DNA methylation and structural variant information (single nucleotide variant [SNV]; copy number variant [CNV]); however, limited data is available on the reliability of obtaining this information simultaneously from low-input DNA using various library preparation and sequencing protocols. METHODS: A HapMap NA12878 sample was sequenced with three protocols (EM-sequencing, QIA-sequencing and Swift-sequencing) and their performance was compared on CpG methylation measurement and SNV and CNV detection. RESULTS: At low DNA input (10–25 ng), EM-sequencing was superior in almost all metrics except CNV detection where all protocols were similar. EM-sequencing captured the highest number of CpGs and true SNVs. CONCLUSION: EM-sequencing is suitable to detect methylation, SNVs and CNVs from single sequencing with low-input DNA. Future Medicine Ltd 2023-03-15 2023-01 /pmc/articles/PMC10072131/ /pubmed/36919677 http://dx.doi.org/10.2217/epi-2022-0453 Text en © 2023 Sun, Behati, Wang, Bhagwate, McDonough, Wang, Taylor, Cunningham & Kisiel https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Research Article Sun, Zhifu Behati, Saurabh Wang, Panwen Bhagwate, Aditya McDonough, Samantha Wang, Vivian Taylor, William Cunningham, Julie Kisiel, John Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
title | Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
title_full | Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
title_fullStr | Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
title_full_unstemmed | Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
title_short | Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
title_sort | performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072131/ https://www.ncbi.nlm.nih.gov/pubmed/36919677 http://dx.doi.org/10.2217/epi-2022-0453 |
work_keys_str_mv | AT sunzhifu performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT behatisaurabh performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT wangpanwen performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT bhagwateaditya performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT mcdonoughsamantha performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT wangvivian performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT taylorwilliam performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT cunninghamjulie performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing AT kisieljohn performancecomparisonsofmethylationandstructuralvariantsfromlowinputwholegenomemethylationsequencing |