A Prospective Evaluation of the Diagnostic Utility for Low-Coverage Genome Sequencing in Prenatal Samples: A Comparison With Chromosomal Microarray Analysis

低覆盖度基因组测序在产前样本诊断中的应用价值的前瞻性评估:与染色体微阵列分析的比较

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Abstract

OBJECTIVE: The present study aimed to evaluate the efficacy of LC-GS in detecting clinically relevant chromosomal abnormalities in comparison with conventional CMA within a prenatal context. METHODS: We conducted a prospective study involving 200 amniotic fluid samples. All specimens were analyzed via LC-GS and traditional tests, including CMA and karyotyping. LC-GS was performed with 3X coverage to gauge its proficiency in identifying copy number variations (CNVs), aneuploidies, regions of homozygosity (ROH), and chromosome mosaicism. Data from both methods were compared to evaluate their sensitivity, specificity, and overall clinical utility. RESULTS: LC-GS at a depth of 3X identified a total of 77 positive samples, yielding a detection rate of 38.5% (77/200). This included 17 cases of aneuploidy, 36 instances of CNVs, 20 cases linked to ROH, and 8 cases of chromosomal mosaicism. LC-GS demonstrated high concordance with CMA in aneuploidy, CNVs, ROH, and chromosomal mosaicism, achieving a diagnostic yield of 21% (42/200), with additional benefits of reduced cost. Moreover, LC-GS outperformed CMA in terms of resolution for identifying submicroscopic CNVs. CONCLUSION: LC-GS presents a robust alternative to CMA for prenatal diagnosis, effectively identifying aneuploidies, CNVs, chromosomal mosaicism, and ROH. It delivers comparable sensitivity and specificity in the detection of a wide spectrum of genomic abnormalities.

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