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Chromosomal microarray analysis in pregnancies at risk for a molecular disorder
1Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, PR China.
Summary
Chromosomal microarray (CMA) analysis can detect unexpected genetic abnormalities in pregnancies at risk for thalassemia, even with normal molecular testing. This supports its inclusion in prenatal counseling for diagnostic testing.
Area of Science:
- Prenatal Diagnosis
- Medical Genetics
- Molecular Diagnostics
Background:
- Patients referred for invasive prenatal diagnosis due to molecular disorders often undergo targeted genetic testing.
- Chromosomal microarray (CMA) is a high-resolution technique for detecting chromosomal abnormalities.
- The utility of CMA in cases with normal molecular results but specific genetic risks is not fully established.
Purpose of the Study:
- To evaluate the diagnostic yield of chromosomal microarray (CMA) in prenatal cases referred solely for molecular testing.
- To assess the value of CMA when initial genetic tests for specific molecular disorders are normal.
Main Methods:
- A 2-year prospective study involving 184 pregnant patients at risk for fetal hemoglobin Bart's disease or beta-thalassemia major.
- Patients with normal fetal genotype results opted for CMA testing.
- CytoScan 750 K array was utilized for CMA analysis.
Main Results:
- In 184 patients with normal molecular results, CMA identified unexpected de novo pathogenic microdeletions in 1.1% of cases.
- Identified microdeletions included 22q11.21 (3.2 Mb) and 16p11.2 (0.8 Mb).
- Median maternal age was 29 years and median gestational age was 13 weeks.
Conclusions:
- Chromosomal microarray (CMA) offers additional diagnostic value in pregnancies at risk for thalassemia, beyond molecular testing.
- The findings suggest that CMA should be considered as part of comprehensive pretest counseling for prenatal diagnostic testing.
- Integrating CMA into counseling may improve detection of chromosomal abnormalities in specific at-risk populations.
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