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Sequencing of human genomes with nanopore technology
- Source :
- Nature Communications, Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
- Publication Year :
- 2018
-
Abstract
- Whole-genome sequencing (WGS) is becoming widely used in clinical medicine in diagnostic contexts and to inform treatment choice. Here we evaluate the potential of the Oxford Nanopore Technologies (ONT) MinION long-read sequencer for routine WGS by sequencing the reference sample NA12878 and the genome of an individual with ataxia-pancytopenia syndrome and severe immune dysregulation. We develop and apply a novel reference panel-free analytical method to infer and then exploit phase information which improves single-nucleotide variant (SNV) calling performance from otherwise modest levels. In the clinical sample, we identify and directly phase two non-synonymous de novo variants in SAMD9L, (OMIM #159550) inferring that they lie on the same paternal haplotype. Whilst consensus SNV-calling error rates from ONT data remain substantially higher than those from short-read methods, we demonstrate the substantial benefits of analytical innovation. Ongoing improvements to base-calling and SNV-calling methodology must continue for nanopore sequencing to establish itself as a primary method for clinical WGS.<br />Nanopore sequencing technology generates longer reads than current technologies, but with more errors. Here, the authors develop new analytical tools to improve accuracy and evaluate the potential of nanopore sequencing for clinical human genomics.
- Subjects :
- Adult
Male
Cerebellar Ataxia
Whole Genome Sequencing
Genome, Human
Pancytopenia
Science
Tumor Suppressor Proteins
High-Throughput Nucleotide Sequencing
Infant
Genomics
Genome informatics
Polymorphism, Single Nucleotide
Article
Nanopores
Genetics research
Humans
Nanotechnology
lcsh:Q
Female
Genetic Testing
lcsh:Science
Medical genomics
Subjects
Details
- ISSN :
- 20411723
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nature communications
- Accession number :
- edsair.pmid.dedup....f871a035c5970e3a7f0c7e73391b8228