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Item Type: | Article |
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Title: | The SEQC2 epigenomics quality control (EpiQC) study |
Creators Name: | Foox, J., Nordlund, J., Lalancette, C., Gong, T., Lacey, M., Lent, S., Langhorst, B.W., Ponnaluri, V.K.C., Williams, L., Padmanabhan, K.R., Cavalcante, R., Lundmark, A., Butler, D., Mozsary, C., Gurvitch, J., Greally, J.M., Suzuki, M., Menor, M., Nasu, M., Alonso, A., Sheridan, C., Scherer, A., Bruinsma, S., Golda, G., Muszynska, A., Łabaj, P.P., Campbell, M.A., Wos, F., Raine, A., Liljedahl, U., Axelsson, T., Wang, C., Chen, Z., Yang, Z., Li, J., Yang, X., Wang, H., Melnick, A., Guo, S., Blume, A., Franke, V., Ibanez de Caceres, I., Rodriguez-Antolin, C., Rosas, R., Davis, J.W., Ishii, J., Megherbi, D.B., Xiao, W., Liao, W., Xu, J., Hong, H., Ning, B., Tong, W., Akalin, A., Wang, Y., Deng, Y. and Mason, C.E. |
Abstract: | BACKGROUND: Cytosine modifications in DNA such as 5-methylcytosine (5mC) underlie a broad range of developmental processes, maintain cellular lineage specification, and can define or stratify types of cancer and other diseases. However, the wide variety of approaches available to interrogate these modifications has created a need for harmonized materials, methods, and rigorous benchmarking to improve genome-wide methylome sequencing applications in clinical and basic research. Here, we present a multi-platform assessment and cross-validated resource for epigenetics research from the FDA's Epigenomics Quality Control Group. RESULTS: Each sample is processed in multiple replicates by three whole-genome bisulfite sequencing (WGBS) protocols (TruSeq DNA methylation, Accel-NGS MethylSeq, and SPLAT), oxidative bisulfite sequencing (TrueMethyl), enzymatic deamination method (EMSeq), targeted methylation sequencing (Illumina Methyl Capture EPIC), single-molecule long-read nanopore sequencing from Oxford Nanopore Technologies, and 850k Illumina methylation arrays. After rigorous quality assessment and comparison to Illumina EPIC methylation microarrays and testing on a range of algorithms (Bismark, BitmapperBS, bwa-meth, and BitMapperBS), we find overall high concordance between assays, but also differences in efficiency of read mapping, CpG capture, coverage, and platform performance, and variable performance across 26 microarray normalization algorithms. CONCLUSIONS: The data provided herein can guide the use of these DNA reference materials in epigenomics research, as well as provide best practices for experimental design in future studies. By leveraging seven human cell lines that are designated as publicly available reference materials, these data can be used as a baseline to advance epigenomics research. |
Keywords: | 5-Methylcytosine, Algorithms, CpG Islands, DNA, DNA Methylation, DNA Sequence Analysis, Epigenome, Genetic Epigenesis, High-Throughput Nucleotide Sequencing, Human Genome, Quality Control, Sequence Alignment, Sulfites, Whole Genome Sequencing |
Source: | Genome Biology |
ISSN: | 1474-760X |
Publisher: | BioMed Central |
Volume: | 22 |
Number: | 1 |
Page Range: | 332 |
Date: | 6 December 2021 |
Additional Information: | Erratum in: Genome Biol 22(1): 350. |
Official Publication: | https://doi.org/10.1186/s13059-021-02529-2 |
PubMed: | View item in PubMed |
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