Evidence map›Paper›PMID 27105841›Full record

ReviewNucleic acids research2016

Sequence capture by hybridization to explore modern and ancient genomic diversity in model and nonmodel organisms.

Cyrielle Gasc, Eric Peyretaillade, Pierre Peyret

Abstract readReview
In one paragraph

Review in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  9. Whole exome sequencing revealed ultra-rare genetic variations in juvenile myoclonic epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
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  13. Targeting FGFR for cancer therapy.Journal of hematology & oncology · 2024
    Review
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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

3 authors.

Cyrielle GascEA 4678 CIDAM, Université d'Auvergne, Clermont-Ferrand, 63001, France.
Eric PeyretailladeEA 4678 CIDAM, Université d'Auvergne, Clermont-Ferrand, 63001, France.
Pierre PeyretEA 4678 CIDAM, Université d'Auvergne, Clermont-Ferrand, 63001, France pierre.peyret@udamail.fr.ORCID http://orcid.org/0000-0003-3114-0586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent expansion of next-generation sequencing has significantly improved biological research. Nevertheless, deep exploration of genomes or metagenomic samples remains difficult because of the sequencing depth and the associated costs required. Therefore, different partitioning strategies have been developed to sequence informative subsets of studied genomes. Among these strategies, hybridization capture has proven to be an innovative and efficient tool for targeting and enriching specific biomarkers in complex DNA mixtures. It has been successfully applied in numerous areas of biology, such as exome resequencing for the identification of mutations underlying Mendelian or complex diseases and cancers, and its usefulness has been demonstrated in the agronomic field through the linking of genetic variants to agricultural phenotypic traits of interest. Moreover, hybridization capture has provided access to underexplored, but relevant fractions of genomes through its ability to enrich defined targets and their flanking regions. Finally, on the basis of restricted genomic information, this method has also allowed the expansion of knowledge of nonreference species and ancient genomes and provided a better understanding of metagenomic samples. In this review, we present the major advances and discoveries permitted by hybridization capture and highlight the potency of this approach in all areas of biology.

Indexed as

AnimalsDNA, AncientExomeGenomicsHigh-Throughput Nucleotide SequencingHumansMetagenomicsNucleic Acid HybridizationPolymorphism, Single NucleotideDNA, Ancient

Identifiers

PMID27105841
PMCPMC4889952

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.