Evidence map›Paper›PMID 30559433›Full record

ArticleNature methods2019

Long-read sequence and assembly of segmental duplications.

Mitchell R Vollger, Philip C Dishuck, Melanie Sorensen, AnneMarie E Welch, Vy Dang, Max L Dougherty, Tina A Graves-Lindsay, Richard K Wilson, Mark J P Chaisson, Evan E Eichler

Abstract read
In one paragraph

Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing 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

146 citing papers in PubMed.

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  15. The diploid reference genome of a human embryonic stem cell line.bioRxiv : the preprint server for biology · 2026
    Article
  16. Article
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  19. A global view of human centromere variation and evolution.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

86 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

10 authors.

Mitchell R VollgerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-8651-1615
Philip C DishuckDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-2223-9787
Melanie SorensenDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
AnneMarie E WelchDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Vy DangDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Max L DoughertyDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Tina A Graves-LindsayThe McDonnell Genome Institute at Washington University, Washington University School of Medicine, St. Louis, MO, USA.
Richard K WilsonInstitute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
Mark J P ChaissonUniversity of Southern California, Los Angeles, CA, USA. mchaisso@usc.edu.
Evan E EichlerDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA. eee@gs.washington.edu.ORCID http://orcid.org/0000-0002-8246-4014

Funding

Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Sequence and Assembly of Segmental DuplicationsR01HG002385 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2001 to 2026
$13.3M
Improving the Human Reference Genome ResourceU41HG007635 · NHGRI · WASHINGTON UNIVERSITY · PI WILSON, RICHARD K. · 2014 to 2017
$9.6M
Sequence-resolved structural variation of human genomesR01HG010169 · NHGRI · UNIVERSITY OF WASHINGTON · PI Evan Eichler · 2018 to 2026
$4.5M
University of Washington PhD Training in Big Data for Genomics and NeuroscienceT32LM012419 · NLM · UNIVERSITY OF WASHINGTON · PI DANIEL, THOMAS L., FAIRHALL, ADRIENNE L · 2016 to 2019
$1.1M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG002385NHGRI NIH HHS R01 HG010169NHGRI NIH HHS T32 HG000035NHGRI NIH HHS U41 HG007635NHGRI NIH HHS U54 HG003079NIGMS NIH HHS T32 GM007266NLM NIH HHS T32 LM012419
6 · The paper itself

Abstract

We have developed a computational method based on polyploid phasing of long sequence reads to resolve collapsed regions of segmental duplications within genome assemblies. Segmental Duplication Assembler (SDA; https://github.com/mvollger/SDA ) constructs graphs in which paralogous sequence variants define the nodes and long-read sequences provide attraction and repulsion edges, enabling the partition and assembly of long reads corresponding to distinct paralogs. We apply it to single-molecule, real-time sequence data from three human genomes and recover 33-79 megabase pairs (Mb) of duplications in which approximately half of the loci are diverged (<99.8%) compared to the reference genome. We show that the corresponding sequence is highly accurate (>99.9%) and that the diverged sequence corresponds to copy-number-variable paralogs that are absent from the human reference genome. Our method can be applied to other complex genomes to resolve the last gene-rich gaps, improve duplicate gene annotation, and better understand copy-number-variant genetic diversity at the base-pair level.

Indexed as

Computational BiologySegmental Duplications, GenomicGenome, HumanHumansMolecular Sequence AnnotationSequence Analysis, DNA

Identifiers

PMID30559433
PMCPMC6382464

What OpenQuestion holds

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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.