Evidence map›Paper›PMID 35534204›Full record

ArticleJournal of medical genetics2022

Targeted long-read sequencing identifies missing pathogenic variants in unsolved Werner syndrome cases.

Danny E Miller, Lin Lee, Miranda Galey, Renuka Kandhaya-Pillai, Marc Tischkowitz, Deepak Amalnath, Avadh Vithlani, Koutaro Yokote, Hisaya Kato, Yoshiro Maezawa and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  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
  17. Article
  18. Review
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

16 authors at 6 institutions in 6 countries.

Danny E MillerDepartment of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, Washington, USA dm1@uw.edu picard@uw.edu.ORCID http://orcid.org/0000-0001-6096-8601
Lin LeeDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Miranda GaleyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Renuka Kandhaya-PillaiDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Marc TischkowitzDepartment of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK.
Deepak AmalnathDepartment of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Avadh VithlaniDepartment of Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Koutaro YokoteDepartment of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan.
Hisaya KatoDepartment of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan.
Yoshiro MaezawaDepartment of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan.
Aki Takada-WatanabeDepartment of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba, Japan.
Minoru TakemotoDepartment of Diabetes, Metabolism and Endocrinology, International University of Health and Welfare, Otawara, Japan.
George M MartinDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Fuki M HisamaDepartment of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington, USA.
Junko OshimaDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA dm1@uw.edu picard@uw.edu.
University of Washington · USChiba University · JPJawaharlal Institute of Post Graduate Medical Education and Research · INDiabetes Australia · AUHoward Hughes Medical Institute · USUniversity of Cambridge · GB

Funding

University of Washington Mendelian Genomics Research Center (UW-MGRC)U01HG011744 · NHGRI · UNIVERSITY OF WASHINGTON · PI MICHAEL Joseph BAMSHAD, Evan Eichler · 2021 to 2026
$15.8M
UW Center for Mendelian GenomicsUM1HG006493 · NHGRI · UNIVERSITY OF WASHINGTON · PI BAMSHAD, MICHAEL JOSEPH, LEAL, SUZANNE M · 2016 to 2020
$15.3M
Sporadic Mutations and Autism Spectrum DisordersR01MH101221 · NIMH · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2013 to 2025
$9.2M
International Registry of Werner SyndromeR01CA210916 · NCI · UNIVERSITY OF WASHINGTON · PI JUNKO OSHIMA · 2016 to 2026
$3.8M
NCI NIH HHS R01 CA210916NHGRI NIH HHS U01 HG011744NHGRI NIH HHS UM1 HG006493NIMH NIH HHS R01 MH101221
6 · The paper itself

Abstract

backgroundWerner syndrome (WS) is an autosomal recessive progeroid syndrome caused by variants in

methodsTargeted long-read sequencing (T-LRS) on an Oxford Nanopore platform was used to search for a second pathogenic variant in

resultsWe identified a second pathogenic variant in eight of nine unsolved WS cases. In five cases, T-LRS identified intronic splice variants that were confirmed by either RT-PCR or exon trapping to affect splicing; in one case, T-LRS identified a 339 kbp deletion, and in two cases, pathogenic missense variants. Phasing of long reads predicted all newly identified variants were on a different haplotype than the previously known variant. Finally, in one case, RT-PCR previously identified skipping of exon 20; however, T-LRS did not detect a pathogenic DNA sequence variant.

conclusionT-LRS is an effective method for identifying missing pathogenic variants. Although limitations with computational prediction algorithms can hinder the interpretation of variants, T-LRS is particularly effective in identifying intronic variants.

Indexed as

genetic variationgenomicsnanopore sequencing

Identifiers

PMID35534204
PMCPMC9613861
OpenAlexW4280507091

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.