Evidence map›Paper›PMID 20146813›Full record

ArticleBMC biotechnology2010

High-throughput detection of mutations responsible for childhood hearing loss using resequencing microarrays.

Prachi Kothiyal, Stephanie Cox, Jonathan Ebert, Ammar Husami, Margaret A Kenna, John H Greinwald, Bruce J Aronow, Heidi L Rehm

Abstract read
In one paragraph

Article in BMC biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Trial
  2. Functional Profiling ofCirculation. Genomic and precision medicine · 2025
    Article
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  10. Review
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  12. Genetics: advances in genetic testing for deafness.Current opinion in pediatrics · 2012
    Review
  13. Article
  14. Genetics of hearing loss: where are we standing now?European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2012
    Review
  15. Article
  16. Article
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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

8 authors.

Prachi Kothiyal1Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA.
Stephanie Cox
Jonathan Ebert
Ammar Husami
Margaret A Kenna
John H Greinwald
Bruce J Aronow
Heidi L Rehm

Funding

Genetics and Pediatric Nonsyndromic Hearing LossR01DC005248 · NIDCD · CHILDREN'S HOSPITAL BOSTON · PI KENNA, MARGARET ALENE · 2002 to 2005
$1.4M
Evaluation of a Deafness GeneChipR21DC007183 · NIDCD · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2005 to 2006
$471k
NIDCD NIH HHS R01 DC005248NIDCD NIH HHS R21 DC007183NIDCD NIH HHS R21DC007183
6 · The paper itself

Abstract

backgroundDespite current knowledge of mutations in 45 genes that can cause nonsyndromic sensorineural hearing loss (SNHL), no unified clinical test has been developed that can comprehensively detect mutations in multiple genes. We therefore designed Affymetrix resequencing microarrays capable of resequencing 13 genes mutated in SNHL (GJB2, GJB6, CDH23, KCNE1, KCNQ1, MYO7A, OTOF, PDS, MYO6, SLC26A5, TMIE, TMPRSS3, USH1C). We present results from hearing loss arrays developed in two different research facilities and highlight some of the approaches we adopted to enhance the applicability of resequencing arrays in a clinical setting.

resultsWe leveraged sequence and intensity pattern features responsible for diminished coverage and accuracy and developed a novel algorithm, sPROFILER, which resolved >80% of no-calls from GSEQ and allowed 99.6% (range: 99.2-99.8%) of sequence to be called, while maintaining overall accuracy at >99.8% based upon dideoxy sequencing comparison.

conclusionsTogether, these findings provide insight into critical issues for disease-centered resequencing protocols suitable for clinical application and support the use of array-based resequencing technology as a valuable molecular diagnostic tool for pediatric SNHL and other genetic diseases with substantial genetic heterogeneity.

Indexed as

AlgorithmsBase CompositionConnexin 26ConnexinsDNA Mutational AnalysisHearing Loss, SensorineuralHumansMutationOligonucleotide Array Sequence AnalysisSensitivity and SpecificityConnexin 26ConnexinsGJB2 protein, human

Identifiers

PMID20146813
PMCPMC2841091

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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.