Evidence map›Paper›PMID 26510793›Full record

ArticleGenetics2016

Genome-Wide Structural Variation Detection by Genome Mapping on Nanochannel Arrays.

Angel C Y Mak, Yvonne Y Y Lai, Ernest T Lam, Tsz-Piu Kwok, Alden K Y Leung, Annie Poon, Yulia Mostovoy, Alex R Hastie, William Stedman, Thomas Anantharaman and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
10.1field-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

76 citing papers in PubMed, 141 citations in OpenAlex.

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  15. Tumorigenicity risk of iPSCsPrecision clinical medicine · 2022
    Review
  16. Review
  17. Article
  18. Article
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  20. Article

16 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

29 authors at 5 institutions in 3 countries.

Angel C Y MakCardiovascular Research Institute, University of California, San Francisco.ORCID http://orcid.org/0000-0002-5372-4198
Yvonne Y Y LaiCardiovascular Research Institute, University of California, San Francisco.
Ernest T LamBioNano Genomics.
Tsz-Piu KwokDepartment of Computer Science and Engineering, The Chinese University of Hong Kong.
Alden K Y LeungSchool of Life Sciences, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong.
Annie PoonCardiovascular Research Institute, University of California, San Francisco.
Yulia MostovoyCardiovascular Research Institute, University of California, San Francisco.
Alex R HastieBioNano Genomics.
William StedmanBioNano Genomics.
Thomas AnantharamanBioNano Genomics.
Warren AndrewsBioNano Genomics.
Xiang ZhouBioNano Genomics.
Andy W C PangBioNano Genomics.
Heng DaiBioNano Genomics.
Catherine ChuCardiovascular Research Institute, University of California, San Francisco.
Chin LinCardiovascular Research Institute, University of California, San Francisco.
Jacob J K WuDepartment of Computer Science, The University of Hong Kong.
Catherine M L LiDepartment of Computer Science, The University of Hong Kong.
Jing-Woei LiSchool of Life Sciences, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong.
Aldrin K Y YimSchool of Life Sciences, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong.
Saki ChanBioNano Genomics.
Justin SibertSchool of Biomedical Engineering, Science and Health Systems, Drexel University.
Željko DžakulaBioNano Genomics.
Han CaoBioNano Genomics.
Siu-Ming YiuDepartment of Computer Science, The University of Hong Kong.
Ting-Fung ChanSchool of Life Sciences, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong.
Kevin Y YipDepartment of Computer Science and Engineering, The Chinese University of Hong Kong Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong.
Ming XiaoSchool of Biomedical Engineering, Science and Health Systems, Drexel University.
Pui-Yan KwokCardiovascular Research Institute, University of California, San Francisco Institute for Human Genetics, University of California, San Francisco pui.kwok@ucsf.edu.
BioNano Genomics (United States) · USUniversity of California, San Francisco · USChinese University of Hong Kong · CNUniversity of Hong Kong · HKDrexel University · US

Funding

Single molecule DNA mapping for genome and CNV analysisR01HG005946 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KWOK, PUI-YAN, XIAO, MING · 2010 to 2021
$6.5M
UCSF Dermatology Training GrantT32AR007175 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wilson Liao, Michael David Rosenblum · 1986 to 2026
$6.1M
NHGRI NIH HHS R01 HG005946NIAMS NIH HHS T32 AR007175
6 · The paper itself

Abstract

Comprehensive whole-genome structural variation detection is challenging with current approaches. With diploid cells as DNA source and the presence of numerous repetitive elements, short-read DNA sequencing cannot be used to detect structural variation efficiently. In this report, we show that genome mapping with long, fluorescently labeled DNA molecules imaged on nanochannel arrays can be used for whole-genome structural variation detection without sequencing. While whole-genome haplotyping is not achieved, local phasing (across >150-kb regions) is routine, as molecules from the parental chromosomes are examined separately. In one experiment, we generated genome maps from a trio from the 1000 Genomes Project, compared the maps against that derived from the reference human genome, and identified structural variations that are >5 kb in size. We find that these individuals have many more structural variants than those published, including some with the potential of disrupting gene function or regulation.

Indexed as

Chromosome MappingGenomic Structural VariationCell LineGenome, HumanHumansMicroarray Analysisbiotechnologygenome mappingstructural variation detection

Identifiers

PMID26510793
PMCPMC4701098
OpenAlexW2203319208

What OpenQuestion holds

Textmetadata
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.