Yan Yin, Yuxia He, Chun Chen, Yanyan He, Jin Wang, Shengfang Qin, Hongna Wang, Kun Ma, Dahui Hu, Rui Xiao, Gang Wang, Xueyan Wang
{"title":"产前样本低覆盖率基因组测序诊断效用的前瞻性评估:与染色体微阵列分析的比较。","authors":"Yan Yin, Yuxia He, Chun Chen, Yanyan He, Jin Wang, Shengfang Qin, Hongna Wang, Kun Ma, Dahui Hu, Rui Xiao, Gang Wang, Xueyan Wang","doi":"10.1002/pd.6840","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":20387,"journal":{"name":"Prenatal Diagnosis","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Prospective Evaluation of the Diagnostic Utility for Low-Coverage Genome Sequencing in Prenatal Samples: A Comparison With Chromosomal Microarray Analysis.\",\"authors\":\"Yan Yin, Yuxia He, Chun Chen, Yanyan He, Jin Wang, Shengfang Qin, Hongna Wang, Kun Ma, Dahui Hu, Rui Xiao, Gang Wang, Xueyan Wang\",\"doi\":\"10.1002/pd.6840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>LC-GS presents a robust alternative to CMA for prenatal diagnosis, effectively identifying aneuploidies, CNVs, chromosomal mosaicism, and ROH. 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A Prospective Evaluation of the Diagnostic Utility for Low-Coverage Genome Sequencing in Prenatal Samples: A Comparison With Chromosomal Microarray Analysis.
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.
期刊介绍:
Prenatal Diagnosis welcomes submissions in all aspects of prenatal diagnosis with a particular focus on areas in which molecular biology and genetics interface with prenatal care and therapy, encompassing: all aspects of fetal imaging, including sonography and magnetic resonance imaging; prenatal cytogenetics, including molecular studies and array CGH; prenatal screening studies; fetal cells and cell-free nucleic acids in maternal blood and other fluids; preimplantation genetic diagnosis (PGD); prenatal diagnosis of single gene disorders, including metabolic disorders; fetal therapy; fetal and placental development and pathology; development and evaluation of laboratory services for prenatal diagnosis; psychosocial, legal, ethical and economic aspects of prenatal diagnosis; prenatal genetic counseling