Show simple item record

dc.contributor.authorBi, Chongwei
dc.date.accessioned2020-01-27T08:09:16Z
dc.date.available2020-01-27T08:09:16Z
dc.date.issued2020-1-20
dc.identifier.urihttp://hdl.handle.net/10754/661200
dc.description.abstractTargeted individual molecule sequencing enables the detection of ultra-rare variants Chongwei Bi, Lin Wang, Baolei Yuan, and Mo Li Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, KSA   Abstract Genome contains hereditary information of the species, and its integrity is vital to life. With the developing of next-generation sequencing (NGS) technologies, we are gaining an unprecedented advance in decoding the genomic information in recent years. However, the current sequencing strategies are mainly population-based, in which samples come from DNA pools of bulk cells. They are not suitable for detecting rare mutations in a subpopulation of cells. Here we introduce targeted individual DNA molecule sequencing (IDMseq), which is a strategy to label and sequence individual DNA molecules from a pool. We applied IDMseq to detect rare mutations. Results showed that IDMseq is broadly applicable to any high-throughput sequencing platforms, and is capable to detect ultra-rare mutations at 1:10,000 allele frequency.   Conclusion Inourpreliminaryworkwehave demonstrated that IDMseq is efficient and sensitive in detecting ultra-rare mutations, without limitation in the sequencing platform. IDMseqalsoshowedtheability to detect somatic mutations within the genome. The somatic SNP load calculated from IDMseq is comparable with the published data2. IDMseqwithlongamplicon showed the ability in detecting large SVs at allele resolution, which will potentially benefit other studies in the field.
dc.relation.urlhttps://epostersonline.com//dh2020/node/21
dc.titleTargeted individual molecule sequencing enables the detection of ultra-rare variants
dc.typePoster
dc.conference.dateJAN 20 - 22, 2020
dc.conference.nameDigital Health 2020
dc.conference.locationKAUST
dc.contributor.institution
refterms.dateFOA2020-01-27T08:09:16Z


Files in this item

This item appears in the following Collection(s)

Show simple item record