Evidence map›Paper›PMID 40429637›Full record

ArticleInternational journal of molecular sciences2025

Investigating the Performance of Oxford Nanopore Long-Read Sequencing with Respect to Illumina Microarrays and Short-Read Sequencing.

Renato Santos, Hyunah Lee, Alexander Williams, Anastasia Baffour-Kyei, Sang-Hyuck Lee, Claire Troakes, Ammar Al-Chalabi, Gerome Breen, Alfredo Iacoangeli

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Renato SantosDepartment of Biostatistics & Health Informatics, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.ORCID 0000-0003-1551-2511
Hyunah LeeSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.ORCID 0000-0002-3352-1908
Alexander WilliamsSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.
Anastasia Baffour-KyeiSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.ORCID 0000-0001-7103-4150
Sang-Hyuck LeeSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.ORCID 0000-0002-5610-033X
Claire TroakesDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology & Neuroscience, King's College London, 5 Cutcombe Rd, London SE5 9RX, UK.ORCID 0000-0002-1790-7376
Ammar Al-ChalabiDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology & Neuroscience, King's College London, 5 Cutcombe Rd, London SE5 9RX, UK.
Gerome BreenSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.
Alfredo IacoangeliDepartment of Biostatistics & Health Informatics, Institute of Psychiatry Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London SE5 8AB, UK.ORCID 0000-0002-5280-5017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxford Nanopore Technologies (ONT) long-read sequencing (LRS) has emerged as a promising genomic analysis tool, yet comprehensive benchmarks with established platforms across diverse datasets remain limited. This study aimed to benchmark LRS performance against Illumina short-read sequencing (SRS) and microarrays for variant detection across different genomic contexts and to evaluate the impact of experimental factors. We sequenced 14 human genomes using the three platforms and evaluated single nucleotide variants (SNVs), insertions/deletions (indels), and structural variants (SVs) detection, stratifying by high-complexity, low-complexity, and dark genome regions while assessing effects of multiplexing, depth, and read length. LRS SNV accuracy was slightly lower than that of SRS in high-complexity regions (F-measure: 0.954 vs. 0.967) but showed comparable sensitivity in low-complexity regions. LRS showed robust performance for small (1-5 bp) indels in high-complexity regions (F-measure: 0.869), but SRS agreement decreased significantly in low-complexity regions and for larger indel sizes. Within dark regions, LRS identified more indels than SRS, but showed lower base-level accuracy. LRS identified 2.86 times more SVs than SRS, excelling at detecting large variants (>6 kb), with SV detection improving with sequencing depth. Sequencing depth strongly influenced variant calling performance, whereas multiplexing effects were minimal. Our findings provide valuable insights for optimising LRS applications in genomic research and diagnostics.

Indexed as

High-Throughput Nucleotide SequencingNanopore SequencingOligonucleotide Array Sequence AnalysisSequence Analysis, DNAGenome, HumanGenomicsHumansINDEL MutationNanoporesPolymorphism, Single Nucleotidebenchmarkexperimental variablesgenomic variantslong-read sequencinglow-complexity regionsmultiplexingOxford Nanopore Technologiesshort-read sequencingvariant calling

Identifiers

PMID40429637
PMCPMC12111203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.