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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Low-pass genome sequencing versus chromosomal microarray analysis: implementation in prenatal diagnosis.

Huilin Wang1,2, Zirui Dong2,3, Rui Zhang1

  • 1Maternal-Fetal Medicine Institute, Bao'an Maternity and Child Health Hospital Affiliated to Jinan University School of Medicine, Key Laboratory of Birth Defects Research, Birth Defects Prevention Research and Transformation Team, Shenzhen, China.

Genetics in Medicine : Official Journal of the American College of Medical Genetics
|August 27, 2019
PubMed
Summary

Low-pass genome sequencing (GS) offers superior prenatal diagnosis by detecting more clinically significant copy-number variants (CNVs) than chromosomal microarray analysis (CMA). This advanced method also reduces repeat testing and requires less DNA, proving its efficacy.

Keywords:
copy-number variantslow-pass genome sequencingmolecular karyotypingmosaicism

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Area of Science:

  • Genetics
  • Genomics
  • Prenatal Diagnostics

Background:

  • Emerging evidence suggests low-pass genome sequencing (GS) may surpass chromosomal microarray analysis (CMA) in identifying clinically significant copy-number variants (CNVs).
  • A direct comparison of the accuracy, efficacy, and incremental yield of these methods in prenatal diagnosis was needed.

Purpose of the Study:

  • To prospectively compare the diagnostic performance of low-pass GS against CMA for copy-number variant (CNV) detection in prenatal samples.
  • To evaluate the accuracy, efficacy, and additional diagnostic yield of low-pass GS compared to CMA.

Main Methods:

  • 1023 women undergoing prenatal diagnosis were enrolled.
  • Samples underwent parallel analysis using both low-pass GS and CMA for CNV detection.
  • CNVs were classified according to American College of Medical Genetics and Genomics guidelines.

Main Results:

  • Low-pass GS identified all 124 CNVs found by CMA and an additional 17 clinically relevant CNVs (1.7% incremental yield).
  • The technical repeat rate was significantly lower for low-pass GS (0.5%) compared to CMA (4.6%).
  • Low-pass GS required less DNA input (50 ng) than CMA.

Conclusions:

  • Low-pass GS provides enhanced resolution and sensitivity for detecting mosaicism in prenatal diagnosis compared to CMA.
  • The study supports low-pass GS as a valuable alternative prenatal diagnostic test due to its superior performance and efficiency.