Unknown

Dataset Information

0

Microarray testing in clinical diagnosis: an analysis of 5,300 New Zealand patients.


ABSTRACT: BACKGROUND:The use of Microarray (array CGH) analysis has become a widely accepted front-line test replacing G banded chromosome studies for patients with an unexplained phenotype. We detail our findings of over 5300 cases. RESULTS:Of 5369 pre and postnatal samples, copy number variants (CNVs) were detected in 28.3 %, of which ~40 % were deletions and ~60 % were duplications. 96.8 % of cases with a CNV <5 Mb would not have been detected by G banding. At least 4.9 % were determined to meet the minimum criteria for a known syndrome. Chromosome 17 provided the greatest proportion of pathogenic CNVs with 65 % classified as (likely) pathogenic. X chromosome CNVs were the most commonly detected accounting for 4.2 % of cases, 0.7 % of these being classified as cryptic (likely) pathogenic CNVs. CONCLUSIONS:Microarray analysis as a primary testing strategy has led to a significant increase in the detection of CNVs (~29 % overall), with ~9 % carrying pathogenic CNVs and one syndromic case identified per 20 referred patients. We suggest these frequencies are consistent with other heterogeneous studies. Conversely, (likely) pathogenic X chromosome CNVs appear to be greater compared with previous studies.

SUBMITTER: Mc Cormack A 

PROVIDER: S-EPMC4815202 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Background</h4>The use of Microarray (array CGH) analysis has become a widely accepted front-line test replacing G banded chromosome studies for patients with an unexplained phenotype. We detail our findings of over 5300 cases.<h4>Results</h4>Of 5369 pre and postnatal samples, copy number variants (CNVs) were detected in 28.3 %, of which ~40 % were deletions and ~60 % were duplications. 96.8 % of cases with a CNV <5 Mb would not have been detected by G banding. At least 4.9 % were determined  ...[more]

Similar Datasets

| S-EPMC4662459 | biostudies-literature
| S-EPMC6189104 | biostudies-literature
| S-EPMC9471549 | biostudies-literature
| S-EPMC3277707 | biostudies-literature
2023-10-22 | GSE230532 | GEO
| S-EPMC6393686 | biostudies-literature
| S-EPMC5017313 | biostudies-literature
| S-EPMC5856154 | biostudies-literature
| PRJEB39756 | ENA
| PRJNA961725 | ENA