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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.