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Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus
Published on: March 6, 2019
High resolution array analysis: diagnosing pregnancies with abnormal ultrasound findings
M Tyreman1, K M Abbott, L R Willatt
1Medical Genetics Department, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK.
High-resolution array analysis identified rare copy number variations (CNVs) in prenatal samples. This genomic testing benefits approximately 10% of patients with abnormal ultrasounds and normal karyotypes.
Area of Science:
- Genomics
- Prenatal Diagnostics
- Medical Genetics
Background:
- Genome-wide high-resolution array analysis is an emerging diagnostic tool for intellectual disability and congenital anomalies, identifying novel microdeletion and microduplication syndromes.
- The diagnostic utility of high-resolution array comparative genomic hybridization (aCGH) for prenatal testing requires systematic evaluation.
Purpose of the Study:
- To assess the diagnostic yield of high-resolution array genomic hybridization analysis in prenatal samples with abnormal ultrasound findings and normal karyotypes.
Main Methods:
- 106 prenatal samples with abnormal ultrasounds and normal karyotypes were analyzed using the Affymetrix GeneChip 6.0 array.
- Rare DNA copy number variations (CNVs) were classified based on size, genomic location, and comparison to 3000 control samples.
Main Results:
- 35 rare CNVs were identified, with 10 (9%) deemed likely pathogenic (5 syndromic, 5 novel).
- 12 CNVs were common in controls and likely benign; 13 were of unknown significance.
- Cryptic mosaicism for trisomy 10, loss of heterozygosity (LOH), and triploidy detection were also identified.
Conclusions:
- High-resolution array testing, when carefully implemented, can benefit at least 10% of obstetric patients presenting with abnormal ultrasound findings and normal karyotype results.
- Array analysis provides valuable diagnostic information beyond standard karyotyping in select prenatal cases.
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