Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing
Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample prepara...
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Published in | Nature biotechnology Vol. 40; no. 7; pp. 1035 - 1041 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.07.2022
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1087-0156 1546-1696 1546-1696 |
DOI | 10.1038/s41587-022-01221-5 |
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Summary: | Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample preparation protocol, distributing sequencing over 48 flow cells, near real-time base calling and alignment, accelerated variant calling and fast variant filtration for efficient manual review. Application to two example clinical cases identified a candidate variant in <8 h from sample preparation to variant identification. We show that this framework provides accurate variant calls and efficient prioritization, and accelerates diagnostic clinical genome sequencing twofold compared with previous approaches.
A streamlined sequencing process enables identification of disease-causing variants in the clinic within 8 hours. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1087-0156 1546-1696 1546-1696 |
DOI: | 10.1038/s41587-022-01221-5 |