Evidence map›Paper›PMID 37316925›Full record

ReviewGenome medicine2023

Applications of long-read sequencing to Mendelian genetics.

Francesco Kumara Mastrorosa, Danny E Miller, Evan E Eichler

Open access · goldAbstract readReview
In one paragraph

Review in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Long-read sequencing reveals genomic and epigenomic variation in the dark genome of human Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

Francesco Kumara Mastrorosa *Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA.
Danny E Miller *Division of Genetic Medicine, Department of Pediatrics, University of Washington and Seattle Children's Hospital, Seattle, WA, 98195, USA.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98195, USA. eee@gs.washington.edu.ORCID 0000-0002-8246-4014
Howard Hughes Medical Institute · USSeattle Children's Hospital · USUniversity of Washington · US

Funding

Sequence and Assembly of Segmental DuplicationsR01HG002385 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2001 to 2026
$13.3M
Sporadic Mutations and Autism Spectrum DisordersR01MH101221 · NIMH · UNIVERSITY OF WASHINGTON · PI EICHLER, EVAN · 2013 to 2025
$9.2M
Long-read DNA and RNA sequencing to identify disease-causing genetic variation and streamline testingDP5OD033357 · OD · UNIVERSITY OF WASHINGTON · PI MILLER, DANNY ERWIN · 2022 to 2025
$1.9M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG002385NIH HHS DP5 OD033357NIMH NIH HHS R01 MH101221NIMH NIH HHS R01MH101221
6 · The paper itself

Abstract

Advances in clinical genetic testing, including the introduction of exome sequencing, have uncovered the molecular etiology for many rare and previously unsolved genetic disorders, yet more than half of individuals with a suspected genetic disorder remain unsolved after complete clinical evaluation. A precise genetic diagnosis may guide clinical treatment plans, allow families to make informed care decisions, and permit individuals to participate in N-of-1 trials; thus, there is high interest in developing new tools and techniques to increase the solve rate. Long-read sequencing (LRS) is a promising technology for both increasing the solve rate and decreasing the amount of time required to make a precise genetic diagnosis. Here, we summarize current LRS technologies, give examples of how they have been used to evaluate complex genetic variation and identify missing variants, and discuss future clinical applications of LRS. As costs continue to decrease, LRS will find additional utility in the clinical space fundamentally changing how pathological variants are discovered and eventually acting as a single-data source that can be interrogated multiple times for clinical service.

Indexed as

Genetic TestingHumansSequence Analysis, DNAGenetic variationLong-read sequencingMedical geneticsMendelian disordersStructural variation

Identifiers

PMID37316925
PMCPMC10266321
OpenAlexW4380685075

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.