Evidence map›Paper›PMID 35855323›Full record

ArticleNAR genomics and bioinformatics2022

High-throughput method for the hybridisation-based targeted enrichment of long genomic fragments for PacBio third-generation sequencing.

Tim Alexander Steiert, Janina Fuß, Simonas Juzenas, Michael Wittig, Marc Patrick Hoeppner, Melanie Vollstedt, Greta Varkalaite, Hesham ElAbd, Christian Brockmann, Siegfried Görg and 3 more

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  7. Transgene Mapping in Animals: What to Choose?International journal of molecular sciences · 2025
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  12. Review
  13. DNA Reference Reagents for Genotyping RH Variants.The Journal of molecular diagnostics : JMD · 2024
    Article
  14. Review
  15. Long-Read Sequencing in Blood Group Genetics.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
  16. 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

13 authors at 5 institutions in 3 countries.

Tim Alexander SteiertInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.ORCID https://orcid.org/0000-0002-0125-1173
Janina FußInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Simonas JuzenasInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Michael WittigInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.ORCID https://orcid.org/0000-0003-1103-4196
Marc Patrick HoeppnerInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Melanie VollstedtInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Greta VarkalaiteInstitute for Digestive Research, Lithuanian University of Health Sciences, Kaunas 44307, Lithuania.
Hesham ElAbdInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Christian BrockmannInstitute of Transfusion Medicine, University Hospital of Schleswig-Holstein, Kiel 24105, Germany.
Siegfried GörgInstitute of Transfusion Medicine, University Hospital of Schleswig-Holstein, Kiel 24105, Germany.
Christoph GassnerInstitute of Translational Medicine, Private University in the Principality of Liechtenstein, Triesen 9495, Liechtenstein.
Michael ForsterInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Andre FrankeInstitute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel 24105, Germany.
Christian-Albrechts-Universität zu Kiel · DEUniversity Hospital Schleswig-Holstein · DELithuanian University of Health Sciences · LTPrivate University in the Principality of Liechtenstein · LIVilnius University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybridisation-based targeted enrichment is a widely used and well-established technique in high-throughput second-generation short-read sequencing. Despite the high potential to genetically resolve highly repetitive and variable genomic sequences by, for example PacBio third-generation sequencing, targeted enrichment for long fragments has not yet established the same high-throughput due to currently existing complex workflows and technological dependencies. We here describe a scalable targeted enrichment protocol for fragment sizes of >7 kb. For demonstration purposes we developed a custom blood group panel of challenging loci. Test results achieved > 65% on-target rate, good coverage (142.7×) and sufficient coverage evenness for both non-paralogous and paralogous targets, and sufficient non-duplicate read counts (83.5%) per sample for a highly multiplexed enrichment pool of 16 samples. We genotyped the blood groups of nine patients employing highly accurate phased assemblies at an allelic resolution that match reference blood group allele calls determined by SNP array and NGS genotyping. Seven Genome-in-a-Bottle reference samples achieved high recall (96%) and precision (99%) rates. Mendelian error rates were 0.04% and 0.13% for the included Ashkenazim and Han Chinese trios, respectively. In summary, we provide a protocol and first example for accurate targeted long-read sequencing that can be used in a high-throughput fashion.

Identifiers

PMID35855323
PMCPMC9278042
OpenAlexW4285095880

What OpenQuestion holds

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LicenceCC BY-NC
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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.