Evidence map›Paper›PMID 41731181›Full record

ArticleEuropean journal of human genetics : EJHG2026

Flexible and rapid validation of structural variation using adaptive sampling.

Aida Paivandy, Felix Lenner, Jesper Eisfeldt, Tord Jonson, Hans Ehrencrona, Anna Lindstrand, Stephen W Scherer, Lars Feuk

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Aida Paivandy *Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Felix Lenner *Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Jesper EisfeldtDepartment of Molecular Medicine and Surgery, Karolinska Institutet, and Department of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Tord JonsonDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Hans EhrencronaDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.ORCID 0000-0002-5589-3622
Anna LindstrandDepartment of Molecular Medicine and Surgery, Karolinska Institutet, and Department of Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0003-0806-5602
Stephen W SchererThe Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.ORCID 0000-0002-8326-1999
Lars FeukDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. lars.feuk@igp.uu.se.ORCID 0000-0003-2355-2919

Funding

Vetenskapsrådet (Swedish Research Council) 2017-01861
6 · The paper itself

Abstract

Identification of genomic rearrangements by microarrays or short-read sequencing frequently lacks information about the exact architecture and breakpoints of variants due to technical limitations. Independent verification of complex structural variants (SVs) is often performed using custom targeted assays, making confirmation of clinically relevant findings time consuming and laborious. In this study we evaluate Oxford Nanopore long-read adaptive sampling for flexible and rapid confirmation and characterization of complex genomic rearrangements and structural variants. Adaptive sampling is an in silico target enrichment, where continued sequencing or ejection of a fragment is based on whether it matches a defined reference sequence. Using adaptive sampling, we targeted 10 regions with different structural variant types, including deletions, translocations, and complex rearrangements. Each sample was analyzed on a MinION or PromethION flow-cell, and sequencing resulted in between 14.1-18.3 Gb of data per sample, with mean autosomal on-target coverage of 28.4x and off-target read depth coverage of 5.3x. We were able to verify all 10 rearrangements, with breakpoint spanning reads for nine of the ten regions, and fully resolved the architecture of nine regions. We also show that background reads can be used to detect structural variants in non-targeted regions of the genome. Our results show that adaptive sampling represents a flexible and rapid strategy for confirmation and characterization of clinically relevant genomic rearrangements in clinical samples. By providing sequence information, read depth, and methylation data, nanopore adaptive sampling has advantages over other assays for variant confirmation used in diagnostic laboratories today.

Indexed as

Genomic Structural VariationHigh-Throughput Nucleotide SequencingSequence Analysis, DNAGene RearrangementHumans

Identifiers

PMID41731181
PMCPMC13171962

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Registered trials

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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.