Literature DB >> 20843196

Classification of pathogenic or benign status of CNVs detected by microarray analysis.

Tak Yeung Leung1, Ritsuko K Pooh, Chi Chiu Wang, Tze Kin Lau, Kwong Wai Choy.   

Abstract

Multiple lines of evidence indicated that microarray analysis has a better diagnostic yield of clinically significant genetic changes than do conventional methods in patients with constitutional abnormalities. However, interpretation of microarray data is complicated by the presence of both novel and recurrent copy number variants (CNVs) of unknown significance. To address this issue, Hehir-Kwa et al. described a new computational method for determining the pathogenicity between benign and mental retardation (MR)-associated CNVs among patients with MR. This study demonstrated the value of objectively prioritizing MR-associated CNVs using structural and functional genomic features in diagnostics. In this regard, we discuss an evidence-based summary of how to classify pathogenic or benign status of a CNV in clinical genetics and advocate that there is a need for algorithmic adjustment between constitutional cytogenetic and prenatal diagnosis settings.

Entities:  

Year:  2010        PMID: 20843196     DOI: 10.1586/erm.10.68

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  3 in total

1.  BACs-on-Beads™ assay, a rapid aneuploidy test, improves the diagnostic yield of conventional karyotyping.

Authors:  Chantal Farra; Anwar H Nassar; Fadi Mirza; Lina Abdouni; Mirna Souaid; Johnny Awwad
Journal:  Mol Biol Rep       Date:  2019-10-08       Impact factor: 2.316

2.  17p13.3 Microduplication Syndrome: Further Delineating the Clinical Spectrum.

Authors:  Chantal Farra; Lina Abdouni; Abeer Hani; Leyla Dirani; Layal Hamdar; Mirna Souaid; Johnny Awwad
Journal:  J Pediatr Genet       Date:  2020-07-20

3.  Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning.

Authors:  Haleema Attique; Sajid Shah; Saima Jabeen; Fiaz Gul Khan; Ahmad Khan; Mohammed ELAffendi
Journal:  Comput Intell Neurosci       Date:  2022-06-09
  3 in total

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