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Project
Metadata Commons Identifier
HMC000077
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Project Title
Simultaneous Genetic and Epigenetic Analysis with Biomodal Duet Multiomics Solution +modC
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Project Description
<p class="MsoNormal">One challenge in precision medicine is limited DNA availability making it challenging to construct representative libraries for (epi)genomic measurements. The biomodal <span style="mso-bidi-font-family: Calibri; color: #262a27;">duet multiomics solution +modC allows for the quantitative measurement of genotype and modified cytosines simultaneously from a single DNA sample. In </span>this study, we applied the Biomodal <span style="mso-bidi-font-family: Calibri; color: #262a27;">multiomics assay to DNA extracted from two primary pre-treatment </span>synovial sarcoma (SyS) tumors (related metadata: HMC000061) (80ng of input gDNA) and six cell-free DNA samples (cfDNA) (20ng of input cfDNA). Following library construction, the indexed libraries were pooled together and sequenced on NovaSeq 6000 S4 chip. To benchmark the performance of the biomodal assay, we compared the resulting CpG calls to our inhouse post bisuflite adapter ligation (PBAL) method capable of generating bisulfite libraries down to a single cell (Hui et al., 2018). We also have compared WGS (somatic variant SNVs) and dbSNPs with biomodal data.</p>
Project Funder(s)
biomodal, illumina
Project Institution(s)
University of British Columbia
Project Investigator(s)
Martin Hirst
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Data Access Request URL*
Keywords
multiomics; genotype; DNA methylation; cell-free DNA; allelic-specific methylation
Publication Link
Study Completed
Cohort
Cohort Name
Biomodal Hirst pilot project
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Study Design
Prospective
Cohort Size
8
Disease/Condition Studied
synovial sarcoma, cancer
Enrollment Time Window
Enrollment City
Biobanking Consent Available
Medical History Available
Ethnicity Availability
Time Course
Patient Phenotypes
Patient Outcomes
Clinical Data Types Available
Time Course Data Points
Groups
Samples and Omics