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Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
Published on: August 25, 2019
Using single nucleotide polymorphism array for prenatal diagnosis in a large multicenter study in Southern China.
Meiying Cai1, Na Lin1, Nan Guo1
1Medical Genetic Diagnosis and Therapy Center, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Key Laboratory for Prenatal Diagnosis and Birth Defect, Fuzhou, China.
Single nucleotide polymorphism array (SNP-array) analysis in prenatal diagnostics identified pathogenic copy number variations (pCNVs) in 8.3% of 8386 pregnancies. Risk factors like positive non-invasive prenatal testing significantly increased pCNV detection rates.
Area of Science:
- Genetics
- Prenatal Diagnostics
- Genomic Medicine
Background:
- Single nucleotide polymorphism array (SNP-array) is a valuable tool in prenatal diagnostics.
- Limited data exists on SNP-array utility across diverse pregnancy risk categories.
Purpose of the Study:
- To retrospectively analyze SNP-array performance in 8386 pregnancies across various risk groups.
- To identify the prevalence of pathogenic copy number variations (pCNVs) under different clinical indications.
Main Methods:
- Retrospective analysis of 8386 pregnancies undergoing SNP-array testing.
- Categorization of cases into seven distinct risk groups.
- Evaluation of pCNV detection rates based on risk factors and ultrasound findings.
Main Results:
- Pathogenic copy number variations (pCNVs) were detected in 8.3% (699/8386) of cases.
- The highest pCNV rates were observed in non-invasive prenatal testing-positive (35.3%) and abnormal ultrasound structure (12.8%) groups.
- Multiple system abnormalities on ultrasound showed the highest pCNV rates (22.6%).
Conclusions:
- SNP-array is effective in detecting pCNVs across various prenatal risk scenarios.
- Non-invasive prenatal testing positivity and specific ultrasound abnormalities are strong indicators for pCNV detection.
- The low correlation with adverse pregnancy history suggests individualized genetic screening approaches.
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