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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...

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Autores principales: Sun, Zhifu, Behati, Saurabh, Wang, Panwen, Bhagwate, Aditya, McDonough, Samantha, Wang, Vivian, Taylor, William, Cunningham, Julie, Kisiel, John
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
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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.
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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
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