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Updated: Nov 1, 2025

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Prenatal Diagnosis by Chromosome Microarray Analysis, An Indian Experience
Meena Bajaj Lall1, Shruti Agarwal1, Preeti Paliwal1
1Institute of Medical Genetics and Genomics, Sir Ganga Ram Hospital, New Delhi, 110060 India.
Chromosome microarray analysis (CMA) offers a higher diagnostic yield for prenatal genetic abnormalities compared to karyotyping. CMA is particularly crucial for identifying pathogenic copy number variations (pCNVs) in fetuses with abnormal ultrasounds, aiding genetic counseling.
Area of Science:
- Prenatal diagnostics
- Genetics
- Medical technology
Background:
- Karyotyping is the standard for prenatal chromosome analysis.
- Chromosome microarray analysis (CMA) offers higher resolution.
- Distinguishing benign, pathogenic (pCNV), and variants of unknown significance (VOUS) is challenging.
Purpose of the Study:
- Evaluate the diagnostic yield and clinical utility of CMA in prenatal samples.
- Stratify CMA results across different prenatal referral groups.
- Compile Indian data on pCNVs and VOUS to aid genetic counseling.
Main Methods:
- Karyotyping and CMA performed on 370 prenatal samples (amniotic fluid and chorionic villi).
- Samples from Indian pregnant women with various risk factors: high maternal age, biochemical screen positive, previous abnormal child, abnormal fetal ultrasound, and heterozygous parents.
Main Results:
- CMA showed a higher diagnostic yield (9.18%) than karyotyping (5.40%).
- Abnormal fetal ultrasound group had the highest percentage of pCNVs (5.40%).
- CMA identified deletion/duplication syndromes and characterized marker chromosomes.
Conclusions:
- CMA is essential for women with abnormal fetal ultrasounds for genotype-phenotype correlation.
- Accumulating CNV data will create an Indian Repository and help resolve VOUS.
- Pre- and post-test genetic counseling is vital for informed decision-making regarding CMA.
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