Evidence map›Paper›PMID 39809270›Full record

ArticleAmerican journal of human genetics2025

HiFi long-read genomes for difficult-to-detect, clinically relevant variants.

Wolfram Höps, Marjan M Weiss, Ronny Derks, Jordi Corominas Galbany, Amber den Ouden, Simone van den Heuvel, Raoul Timmermans, Jos Smits, Tom Mokveld, Egor Dolzhenko and 7 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

17 authors.

Wolfram HöpsDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands.
Marjan M WeissDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands.
Ronny DerksDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands.
Jordi Corominas GalbanyDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Amber den OudenDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands.
Simone van den HeuvelDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Raoul TimmermansDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Jos SmitsDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Tom MokveldPacific Biosciences, Menlo Park, CA, USA.
Egor DolzhenkoPacific Biosciences, Menlo Park, CA, USA.
Xiao ChenPacific Biosciences, Menlo Park, CA, USA.
Arthur van den WijngaardDepartment of Clinical Genetics, Maastricht University, Maastricht, the Netherlands.
Michael A EberlePacific Biosciences, Menlo Park, CA, USA.
Helger G YntemaDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands.
Alexander HoischenDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Internal Medicine, and Radboud Expertise Center for Immunodeficiency and Autoinflammation and Radboud Center for Infectious Disease (RCI), Radboud University Medical Center, Nijmegen, the Netherlands.
Christian GilissenDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address: christian.gilissen@radboudumc.nl.
Lisenka E L M VissersDepartment of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands; Radboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address: lisenka.vissers@radboudumc.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical short-read exome and genome sequencing approaches have positively impacted diagnostic testing for rare diseases. Yet, technical limitations associated with short reads challenge their use for the detection of disease-associated variation in complex regions of the genome. Long-read sequencing (LRS) technologies may overcome these challenges, potentially qualifying as a first-tier test for all rare diseases. To test this hypothesis, we performed LRS (30× high-fidelity [HiFi] genomes) for 100 samples with 145 known clinically relevant germline variants that are challenging to detect using short-read sequencing and necessitate a broad range of complementary test modalities in diagnostic laboratories. We show that relevant variant callers readily re-identified the majority of variants (120/145, 83%), including ∼90% of structural variants, SNVs/insertions or deletions (indels) in homologous sequences, and expansions of short tandem repeats. Another 10% (n = 14) was visually apparent in the data but not automatically detected. Our analyses also identified systematic challenges for the remaining 7% (n = 11) of variants, such as the detection of AG-rich repeat expansions. Titration analysis showed that 90% of all automatically called variants could also be identified using 15-fold coverage. Long-read genomes thus identified 93% of challenging pathogenic variants from our dataset. Even with reduced coverage, the vast majority of variants remained detectable, possibly enhancing cost-effective diagnostic implementation. Most importantly, we show the potential to use a single technology to accurately identify all types of clinically relevant variants.

Indexed as

Genetic VariationGenome, HumanHigh-Throughput Nucleotide SequencingRare DiseasesGenetic TestingGerm-Line MutationHumansPolymorphism, Single NucleotideSequence Analysis, DNAchallenging variantsclinical utilitydiagnosticsgenomicslong-read sequencingomicsrare diseaseshort-read sequencing

Identifiers

PMID39809270
PMCPMC11866944

What OpenQuestion holds

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Read underepoch 390

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.