Evidence map›Paper›PMID 33202991›Full record

ArticleJournal of clinical medicine2020

Evaluation of Whole-Exome Enrichment Solutions: Lessons from the High-End of the Short-Read Sequencing Scale.

Ana Díaz-de Usera, Jose M Lorenzo-Salazar, Luis A Rubio-Rodríguez, Adrián Muñoz-Barrera, Beatriz Guillen-Guio, Itahisa Marcelino-Rodríguez, Víctor García-Olivares, Alejandro Mendoza-Alvarez, Almudena Corrales, Antonio Íñigo-Campos and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  12. Age Estimate ofBiology · 2022
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  15. Review
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

12 authors at 2 institutions in 1 country.

Ana Díaz-de UseraGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.
Jose M Lorenzo-SalazarGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.ORCID 0000-0002-5135-2861
Luis A Rubio-RodríguezGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.
Adrián Muñoz-BarreraGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.
Beatriz Guillen-GuioResearch Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain.
Itahisa Marcelino-RodríguezResearch Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain.
Víctor García-OlivaresGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.ORCID 0000-0002-0104-377X
Alejandro Mendoza-AlvarezResearch Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain.ORCID 0000-0002-2283-7923
Almudena CorralesResearch Unit, Hospital Universitario N.S. de Candelaria, Universidad de La Laguna, 38010 Santa Cruz de Tenerife, Spain.
Antonio Íñigo-CamposGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.
Rafaela González-MontelongoGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.ORCID 0000-0001-9022-8663
Carlos FloresGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain.ORCID 0000-0001-5352-069X
Instituto Tecnológico y de Energías Renovables · ESUniversidad de La Laguna · ES

Funding

Agencia Canaria de Investigación, Innovación y Sociedad de la Información TESIS2020010002Cabildo Insular de Tenerife CGIEU0000219140Instituto de Salud Carlos III CD19/00231Instituto Tecnológico y de Energías Renovables OA17/008Ministerio de Ciencia e Innovación RTC-2017-6471-1; AEI/FEDER, UEMinisterio de Educación, Cultura y Deporte FPU16/01435
6 · The paper itself

Abstract

Whole-exome sequencing has become a popular technique in research and clinical settings, assisting in disease diagnosis and increasing the understanding of disease pathogenesis. In this study, we aimed to compare common enrichment capture solutions available in the market. Peripheral blood-purified DNA samples were enriched with SureSelect

Indexed as

duplicate readsgenetic variationnext-generation sequencingtarget coveragewhole-exome sequencing

Identifiers

PMID33202991
PMCPMC7696786
OpenAlexW3106477902

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.