2017
DOI: 10.1038/gim.2016.132
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Clinical relevance of small copy-number variants in chromosomal microarray clinical testing

Abstract: Our study demonstrates the diagnostic clinical relevance of small, nonrecurrent CNVs <500 kb during CMA clinical testing and underscores the need for careful clinical interpretation of these CNVs.Genet Med 19 4, 377-385.

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Cited by 25 publications
(24 citation statements)
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“…The VOUS reporting rate (4.6%) in this study is consistent with that of other cohorts (4.2% and 4.8%) but higher than others (2.2% and 1.6%) . These differences may be due to platform designs, diverse reporting criteria such as size cutoff settings, choice and interpretation of targeted regions, as well as interpretation and reporting deviations between laboratories, especially in the category of uncertain results …”
Section: Discussioncontrasting
confidence: 49%
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“…The VOUS reporting rate (4.6%) in this study is consistent with that of other cohorts (4.2% and 4.8%) but higher than others (2.2% and 1.6%) . These differences may be due to platform designs, diverse reporting criteria such as size cutoff settings, choice and interpretation of targeted regions, as well as interpretation and reporting deviations between laboratories, especially in the category of uncertain results …”
Section: Discussioncontrasting
confidence: 49%
“…Further, using a high‐resolution platform with different size filter cutoffs yields extensive variations in detection (combination D and G, Table ). In addition, applying a platform of lower resolution but with smaller size filter cutoffs as used in the paper published by Hollenbeck et al, the detection did not critically decrease (Table ).…”
Section: Discussionmentioning
confidence: 93%
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“…A total of 174 population‐based controls without cardiac lesions were drawn from the local database. Additional controls included the Wellcome Trust Case Control Consortium study (http://www.wtccc.org.uk/), DECIPHER (http://decipher.sanger.ac.uk/), the Database of Genomic Variants (DGV) (http://dgv.tcag.ca/dgv/app/home), the 1000 Genomes Project (http://www.1000genomes.org/), the DDD Controls Project (http://www.ddduk.org/), and previously published studies that used high‐density microarray platforms comparable with the ones used in this study …”
Section: Methodsmentioning
confidence: 99%