Evidence map›Paper›PMID 22480152›Full record

ArticleGenetic testing and molecular biomarkers2012

A low-cost exon capture method suitable for large-scale screening of genetic deafness by the massively-parallel sequencing approach.

Wenxue Tang, Dong Qian, Shoeb Ahmad, Douglas Mattox, N Wendell Todd, Harrison Han, Shouting Huang, Yuhua Li, Yunfeng Wang, Huawei Li and 1 more

Abstract readEvaluation Study
In one paragraph

Article in Genetic testing and molecular biomarkers, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetic Information and Precision Medicine in Hearing Loss.Clinical and experimental otorhinolaryngology · 2020
    Article
  4. Article
  5. VisCap: inference and visualization of germ-line copy-number variants from targeted clinical sequencing data.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  6. Article
  7. Article
  8. Article
  9. Massively Parallel Sequencing for Genetic Diagnosis of Hearing Loss: The New Standard of Care.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2015
    Review
  10. Article
  11. Targeted next-generation sequencing of deafness genes in hearing-impaired individuals uncovers informative mutations.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genetics: advances in genetic testing for deafness.Current opinion in pediatrics · 2012
    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

11 authors at 3 institutions in 2 countries.

Wenxue TangDepartment of Otolaryngology, Emory University School of Medicine, Atlanta, Georgia 30322, USA.
Dong Qian
Shoeb Ahmad
Douglas Mattox
N Wendell Todd
Harrison Han
Shouting Huang
Yuhua Li
Yunfeng Wang
Huawei Li
Xi Lin
Emory University · USOFS (United States) · USFudan University · CN

Funding

Role of connexins in cochlear functionsR01DC006483 · NIDCD · EMORY UNIVERSITY · PI LIN, XI · 2006 to 2015
$3.4M
Genetic hearing screening and diagnosis facilitated by using a combined low-costR33DC010476 · NIDCD · EMORY UNIVERSITY · PI LIN, XI · 2010 to 2013
$2.0M
Restoration of hearing in connexin mutant miceR21DC008672 · NIDCD · EMORY UNIVERSITY · PI TANG, WENXUE · 2007 to 2008
$418k
Genetic hearing screening for newbornsR41DC009713 · NIDCD · OTOGENETICS CORPORATION · PI LIN, XI · 2009 to 2009
$229k
NIDCD NIH HHS 1R41DC009713NIDCD NIH HHS 4R33DC010476NIDCD NIH HHS R01 DC006483NIDCD NIH HHS R21 DC008672
6 · The paper itself

Abstract

Current major barriers for using next-generation sequencing (NGS) technologies in genetic mutation screening on an epidemiological scale appear to be the high accuracy demanded by clinical applications and high per-sample cost. How to achieve high efficiency in enriching targeted disease genes while keeping a low cost/sample is a key technical hurdle to overcome. We validated a cDNA-probe-based approach for capturing exons of a group of genes known to cause deafness. Polymerase chain reaction amplicons were made from cDNA clones of the targeted genes and used as bait probes in hybridization for capturing human genomic DNA (gDNA) fragments. The cDNA library containing the clones of targeted genes provided a readily available, low-cost, and regenerable source for producing capture probes with standard molecular biology equipment. Captured gDNA fragments by our method were sequenced by the Illumina NGS platform. Results demonstrated that targeted exons captured by our approach achieved specificity, multiplexicity, uniformity, and depth of coverage suitable for accurate sequencing applications by the NGS systems. Reliable genotype calls for various homozygous and heterozygous mutations were achieved. The results were confirmed independently by conventional Sanger sequencing. The method validated here could be readily expanded to include all-known deafness genes for applications such as genetic hearing screening in newborns. The high coverage depth and cost benefits of the cDNA-probe-based exon capture approach may also facilitate widespread applications in clinical practices beyond screening mutations in deafness genes.

Indexed as

Gene TargetingComputational BiologyDeafnessExonsGenetic Predisposition to DiseaseGenetic TestingHigh-Throughput Nucleotide SequencingHumansInfant, NewbornMass ScreeningSequence Analysis, DNA

Identifiers

PMID22480152
PMCPMC3378026
OpenAlexW2018075727

What OpenQuestion holds

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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.