The reconstruction of individual haplotypes can facilitate the interpretation of disease risks; however, high costs and technical challenges still hinder their assessment in clinical settings. Second‐generation sequencing is the gold standard for variant discovery but, due to the production of short reads covering small genomic regions, allows only indirect haplotyping based on statistical methods. In contrast, third‐generation methods such as the nanopore sequencing platform developed by Oxford Nanopore Technologies (ONT) generate long reads that can be used for direct haplotyping, with fewer drawbacks. However, robust standards for variant phasing in ONT‐based target resequencing efforts are not yet available. In this study, we presented a streamlined proof‐of-concept workflow for variant calling and phasing based on ONT data in a clinically relevant 12‐kb region of the APOE locus, a hotspot for variants and haplotypes associated with aging‐related diseases and longevity. Starting with sequencing data from simple amplicons of the target locus, we demonstrated that ONT data allow for reliable single‐nucleotide variant (SNV) calling and phasing from as little as 60 reads, although the recognition of indels is less efficient. Even so, we identified the best combination of ONT read sets (600) and software (BWA/Minimap2 and HapCUT2) that enables full haplotype reconstruction when both SNVs and indels have been identified previously using a highly‐accurate sequencing platform. In conclusion, we established a rapid and inexpensive workflow for variant phasing based on ONT long reads. This allowed for the analysis of multiple samples in parallel and can easily be implemented in routine clinical practice, including diagnostic testing.

A long‐read sequencing approach for direct haplotype phasing in clinical settings / S. Maestri, M.G. Maturo, E. Cosentino, L. Marcolungo, B. Iadarola, E. Fortunati, M. Rossato, M. Delledonne. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - 21:23(2020 Dec), pp. 9177.1-9177.15. [10.3390/ijms21239177]

A long‐read sequencing approach for direct haplotype phasing in clinical settings

S. Maestri
Primo
;
2020

Abstract

The reconstruction of individual haplotypes can facilitate the interpretation of disease risks; however, high costs and technical challenges still hinder their assessment in clinical settings. Second‐generation sequencing is the gold standard for variant discovery but, due to the production of short reads covering small genomic regions, allows only indirect haplotyping based on statistical methods. In contrast, third‐generation methods such as the nanopore sequencing platform developed by Oxford Nanopore Technologies (ONT) generate long reads that can be used for direct haplotyping, with fewer drawbacks. However, robust standards for variant phasing in ONT‐based target resequencing efforts are not yet available. In this study, we presented a streamlined proof‐of-concept workflow for variant calling and phasing based on ONT data in a clinically relevant 12‐kb region of the APOE locus, a hotspot for variants and haplotypes associated with aging‐related diseases and longevity. Starting with sequencing data from simple amplicons of the target locus, we demonstrated that ONT data allow for reliable single‐nucleotide variant (SNV) calling and phasing from as little as 60 reads, although the recognition of indels is less efficient. Even so, we identified the best combination of ONT read sets (600) and software (BWA/Minimap2 and HapCUT2) that enables full haplotype reconstruction when both SNVs and indels have been identified previously using a highly‐accurate sequencing platform. In conclusion, we established a rapid and inexpensive workflow for variant phasing based on ONT long reads. This allowed for the analysis of multiple samples in parallel and can easily be implemented in routine clinical practice, including diagnostic testing.
nanopore sequencing; variant calling; haplotype phasing; diagnostic testing
Settore BIOS-11/A - Farmacologia
dic-2020
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1163589
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