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Updated: Jan 30, 2026

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing
Published on: February 10, 2023
Single-nucleotide polymorphism-based chromosomal microarray analysis provides clues and insights into disease
Single-nucleotide polymorphism (SNP)-based chromosomal microarray analysis (CMA) enhances prenatal diagnosis beyond copy number variants. This advanced CMA detects monogenic diseases, imprinting disorders, and uniparental disomy, improving diagnostic yield in fetal malformations.
Area of Science:
- Prenatal genetics
- Genomic diagnostics
- Fetal medicine
Background:
- Chromosomal microarray analysis (CMA) is standard for prenatal diagnosis of fetal malformations, identifying microdeletion/duplication syndromes.
- Single-nucleotide polymorphism (SNP)-based CMA offers potential for broader diagnostic capabilities.
Purpose of the Study:
- To evaluate the additional utility of SNP-based CMA in prenatal diagnosis.
- To demonstrate its capability in identifying monogenic diseases, imprinting disorders, and uniparental disomy (UPD).
Main Methods:
- CMA was performed on 6995 pregnancies with fetal malformations using Affymetrix CytoScan arrays.
- Four complex cases illustrating the diagnostic utility of SNP-based CMA were analyzed.
Main Results:
- Identified a microdeletion causing Bloom syndrome in one fetus.
- Diagnosed Kagami-Ogata syndrome (imprinting disorder) in a second fetus.
- Detected deletions associated with Prader-Willi/Angelman syndrome and maternal UPD of chromosome 11 in two other cases.
Conclusions:
- Prenatal CMA, utilizing oligo and SNP platforms, significantly increases diagnostic yield.
- It enables detection of a wider spectrum of genetic disorders, including complex etiologies beyond copy number variants.
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