Evidence map›Paper›PMID 23029419›Full record

ArticlePloS one2012

Long span DNA paired-end-tag (DNA-PET) sequencing strategy for the interrogation of genomic structural mutations and fusion-point-guided reconstruction of amplicons.

Fei Yao, Pramila N Ariyaratne, Axel M Hillmer, Wah Heng Lee, Guoliang Li, Audrey S M Teo, Xing Yi Woo, Zhenshui Zhang, Jieqi P Chen, Wan Ting Poh and 16 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

26 authors at 3 institutions in 1 country.

Fei YaoGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Pramila N Ariyaratne
Axel M Hillmer
Wah Heng Lee
Guoliang Li
Audrey S M Teo
Xing Yi Woo
Zhenshui Zhang
Jieqi P Chen
Wan Ting Poh
Kelson F B Zawack
Chee Seng Chan
See Ting Leong
Say Chuan Neo
Poh Sum D Choi
Song Gao
Niranjan Nagarajan
Hervé Thoreau
Atif Shahab
Xiaoan Ruan
Valère Cacheux-Rataboul
Chia-Lin Wei
Guillaume Bourque
Wing-Kin Sung
Edison T Liu
Yijun Ruan
Genome Institute of Singapore · SGAgency for Science, Technology and Research · SGNational University of Singapore · SG

Funding

NCI NIH HHS 5 R33 CA126996-02
6 · The paper itself

Abstract

Structural variations (SVs) contribute significantly to the variability of the human genome and extensive genomic rearrangements are a hallmark of cancer. While genomic DNA paired-end-tag (DNA-PET) sequencing is an attractive approach to identify genomic SVs, the current application of PET sequencing with short insert size DNA can be insufficient for the comprehensive mapping of SVs in low complexity and repeat-rich genomic regions. We employed a recently developed procedure to generate PET sequencing data using large DNA inserts of 10-20 kb and compared their characteristics with short insert (1 kb) libraries for their ability to identify SVs. Our results suggest that although short insert libraries bear an advantage in identifying small deletions, they do not provide significantly better breakpoint resolution. In contrast, large inserts are superior to short inserts in providing higher physical genome coverage for the same sequencing cost and achieve greater sensitivity, in practice, for the identification of several classes of SVs, such as copy number neutral and complex events. Furthermore, our results confirm that large insert libraries allow for the identification of SVs within repetitive sequences, which cannot be spanned by short inserts. This provides a key advantage in studying rearrangements in cancer, and we show how it can be used in a fusion-point-guided-concatenation algorithm to study focally amplified regions in cancer.

Indexed as

Genome, HumanGenomic Structural VariationMutationOpen Reading FramesAlgorithmsCell Line, TumorChromosome MappingDNA Copy Number VariationsGenomic LibraryHumansMutagenesis, InsertionalNeoplasmsSequence Analysis, DNA

Identifiers

PMID23029419
PMCPMC3461012
OpenAlexW2063526609

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.