Evidence map›Paper›PMID 27161561›Full record

ArticleBMC genomics2016

Next-generation sequencing-based detection of germline L1-mediated transductions.

Jelena Tica, Eunjung Lee, Andreas Untergasser, Sascha Meiers, David A Garfield, Omer Gokcumen, Eileen E M Furlong, Peter J Park, Adrian M Stütz, Jan O Korbel

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 8 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

10 authors at 6 institutions in 3 countries.

Jelena TicaEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany.
Eunjung LeeDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Andreas UntergasserEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany.
Sascha MeiersEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany.
David A GarfieldEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany.
Omer GokcumenDepartment of Biological Sciences, State University of New York at Buffalo, Buffalo, NY, 14260-1300, USA.
Eileen E M FurlongEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany.
Peter J ParkDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
Adrian M StützEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany. adrian.stuetz@embl.de.
Jan O KorbelEuropean Molecular Biology Laboratory, Genome Biology Unit, 69117, Heidelberg, Germany. jan.korbel@embl.de.
European Molecular Biology Laboratory · DEBrigham and Women's Hospital · USHarvard University · USHeidelberg University · DEUniversity at Buffalo, State University of New York · USWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile active LINE-1 (L1) elements possess the ability to mobilize flanking sequences to different genomic loci through a process termed transduction influencing genomic content and structure, an approach for detecting polymorphic germline non-reference transductions in massively-parallel sequencing data has been lacking.

resultsHere we present the computational approach TIGER (Transduction Inference in GERmline genomes), enabling the discovery of non-reference L1-mediated transductions by combining L1 discovery with detection of unique insertion sequences and detailed characterization of insertion sites. We employed TIGER to characterize polymorphic transductions in fifteen genomes from non-human primate species (chimpanzee, orangutan and rhesus macaque), as well as in a human genome. We achieved high accuracy as confirmed by PCR and two single molecule DNA sequencing techniques, and uncovered differences in relative rates of transduction between primate species.

conclusionsBy enabling detection of polymorphic transductions, TIGER makes this form of relevant structural variation amenable for population and personal genome analysis.

Indexed as

High-Throughput Nucleotide SequencingLong Interspersed Nucleotide ElementsTransduction, GeneticAnimalsBase SequenceComputational BiologyGenomeGerm CellsHumansMacaca mulattaPan troglodytesBioinformaticsGeneticsGenomeL1NGSPrimatesRetrotransposonSingle-molecule sequencingTransductions

Identifiers

PMID27161561
PMCPMC4862182
OpenAlexW2345893262

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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.