scholarly journals Trisomy 13 detection in the first trimester of pregnancy using a chromosome-selective cell-free DNA analysis method

2012 ◽  
Vol 41 (1) ◽  
pp. 21-25 ◽  
Author(s):  
G. Ashoor ◽  
A. Syngelaki ◽  
E. Wang ◽  
C. Struble ◽  
A. Oliphant ◽  
...  
Author(s):  
Ashley N. Battarbee ◽  
Neeta L. Vora

In a prospective, multicenter blinded study at 35 international centers, the Noninvasive Examination of Trisomy (NEXT) study evaluated the performance of cell-free DNA screening for fetal trisomy compared to standard first trimester screening with nuchal translucency and serum analytes in a routine prenatal population. Among the 15,841 women who had standard screening and cell-free DNA analysis with neonatal outcome data, there were 68 chromosomal abnormalities (1 in 236). Of these, 38 were Trisomy 21 (1 in 417). Cell-free DNA analysis had a higher area under the curve (AUC) for trisomy 21, compared to standard screening (0.999 vs. 0.958, p = 0.001). Cell-free DNA analysis also had greater sensitivity, specificity, and positive predictive value compared to standard screening for trisomy 21, 18, and 13. While cell-free DNA analysis cannot detect all chromosome abnormalities, it performed better than standard screening for detection of trisomies 21, 18, and 13 in a routine population including low- and high-risk women.


2016 ◽  
Vol 62 (6) ◽  
pp. 848-855 ◽  
Author(s):  
George Koumbaris ◽  
Elena Kypri ◽  
Kyriakos Tsangaras ◽  
Achilleas Achilleos ◽  
Petros Mina ◽  
...  

Abstract BACKGROUND There is great need for the development of highly accurate cost effective technologies that could facilitate the widespread adoption of noninvasive prenatal testing (NIPT). METHODS We developed an assay based on the targeted analysis of cell-free DNA for the detection of fetal aneuploidies of chromosomes 21, 18, and 13. This method enabled the capture and analysis of selected genomic regions of interest. An advanced fetal fraction estimation and aneuploidy determination algorithm was also developed. This assay allowed for accurate counting and assessment of chromosomal regions of interest. The analytical performance of the assay was evaluated in a blind study of 631 samples derived from pregnancies of at least 10 weeks of gestation that had also undergone invasive testing. RESULTS Our blind study exhibited 100% diagnostic sensitivity and specificity and correctly classified 52/52 (95% CI, 93.2%–100%) cases of trisomy 21, 16/16 (95% CI, 79.4%–100%) cases of trisomy 18, 5/5 (95% CI, 47.8%–100%) cases of trisomy 13, and 538/538 (95% CI, 99.3%–100%) normal cases. The test also correctly identified fetal sex in all cases (95% CI, 99.4%–100%). One sample failed prespecified assay quality control criteria, and 19 samples were nonreportable because of low fetal fraction. CONCLUSIONS The extent to which free fetal DNA testing can be applied as a universal screening tool for trisomy 21, 18, and 13 depends mainly on assay accuracy and cost. Cell-free DNA analysis of targeted genomic regions in maternal plasma enables accurate and cost-effective noninvasive fetal aneuploidy detection, which is critical for widespread adoption of NIPT.


2019 ◽  
Vol 493 ◽  
pp. S596
Author(s):  
I. Vazquez Rico ◽  
P. Carrasco Salas ◽  
C. Santos Rosa ◽  
R. Granell Escobar ◽  
M.R. Torres Aguilar ◽  
...  

2013 ◽  
Vol 35 (3) ◽  
pp. 204-211 ◽  
Author(s):  
M.M. Gil ◽  
Maria Soledad Quezada ◽  
Barbara Bregant ◽  
Argyro Syngelaki ◽  
Kypros H. Nicolaides

Author(s):  
Ismail Tekesin

Abstract Introduction Cell-free DNA (cfDNA) testing is increasingly used as a screening method not only for trisomy (T) 21 but also for T18 and T13, sex chromosome anomalies (SCA) and microdeletions. Based on cases with a positive cfDNA result in our specialised prenatal practice, this study aims to characterise the usage of cfDNA testing and to estimate the positive predictive value (PPV) in routine practice in Germany. Patients and Methods In this retrospective study we analysed the data of all pregnant women with a positive cfDNA result seen between 09/2013 and 12/2019. Women were either referred due to the positive result or the test was initiated in our practice. The primary parameter of interest was the concordance of cfDNA tests with confirmatory genetic testing. Results We encountered 81 cases with a positive cfDNA test (T21: 49.4%; T18: 9.9%; T13: 8.6%; SCA: 22.2%; 22q12del: 8.6%). The PPV was 95.0% for T21, but considerably lower for T18 (55.6%) and T13 (28.6%). For SCAs it was 23.1% and no case with DiGeorge syndrome was confirmed. 63% of the patients had not received a fetal anomaly scan before cfDNA testing. In first-trimester fetuses with a cfDNA test predicting an autosomal aneuploidy, fetal anomalies were detected in 90.3% of the cases. No false positive case had an abnormal US result. Conclusions Despite the excellent specificity of cfDNA tests, the PPV for aneuploidies other than T21 is low in routine practice. In discordance with the current guidelines, cfDNA test is often used without a previous detailed anomaly scan. Our data provide valuable information to assist patient counselling and shared decision making.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3043-3043
Author(s):  
Grace Q. Zhao ◽  
Yun Bao ◽  
Heng Wang ◽  
Wanping Hu ◽  
John Coller ◽  
...  

3043 Background: Assessing the genomic and epigenomic changes on plasma cell-free DNA (cfDNA) using next-generation sequencing (NGS) has become increasingly important for cancer detection and treatment selection guidance. However, two major hurdles of existing targeted NGS methods make them impractical for the clinical setting. First, there is no comprehensive, end to end, kit solution available for targeted methylation sequencing (TMS), let alone one that analyzes both mutation and methylation information in one assay. Second, the low yield of cfDNA from clinical blood samples presents a major challenge for conducting multi-omic analysis. Thus, an assay that is capable of both genomic and epigenomic analysis would be advantageous for clinical research and future diagnostic assays. Methods: Here, we report the performance of Point-n-SeqTM dual analysis, a kit solution that can provide in-depth DNA analysis with highly flexible and customizable focused panels to enable both genomic and epigenomic analysis without sample splitting. With custom panels of tens to thousands of markers designed with > 99% first-pass success rate, we conducted both performance validation and multi-center, multi-operator, reproducibility studies. Using spike-in titration of cancer cell-line gDNA with known mutation and methylation profiles, Point-n-Seq assay achieved a reliable detection level down to 0.003% of tumor DNA with a linear relationship between the measured and expected fractions. Benchmarked with conventional targeted sequencing and methylation sequencing, Point-n-Seq solution also demonstrated improved performance, speed and shortened hands-on time. Results: In a pilot clinical study, a colorectal cancer (CRC) TMS panel covering 560 methylation markers and a mutation panel with > 350 hotspot mutations in 22 genes were used in the dual assay. Using 1ml of plasma from late-stage CRC patients, cancer-specific methylation signals were detected in all samples tested, and oncogenic mutations. In an early-stage cohort (33 stage I/II CRC patient ), comparison of the analysis between tumor-informed, personalized-mutation panels (̃100 private SNVs) for each patient and the tumor-independent CRC methylation panels were conducted. The initial results showed that tumor-independent TMS assay achieved a comparable detection compared to the personalized tumor-informed approach. Moreover, cfDNA size information (fragmentome) is also integrated into the analysis of the same Point-n-Seq workflow to improve the assay sensitivity. Conclusions: Point-n-Seq dual analysis is poised to advance both research and clinical applications of early cancer detection, minimal residual disease (MRD), and monitoring.


2018 ◽  
Vol 5 (3) ◽  
pp. 139-143
Author(s):  
Sarang Younesi ◽  
Shahram Savad ◽  
Soudeh Ghafouri-Fard ◽  
Mohammad Mahdi Taheri-Amin ◽  
Pourandokht Saadati ◽  
...  

2018 ◽  
Vol 45 (5) ◽  
pp. 302-311 ◽  
Author(s):  
Elisa Bevilacqua ◽  
Jacques C. Jani ◽  
Alexandra Letourneau ◽  
Silvia F. Duiella ◽  
Pascale Kleinfinger ◽  
...  

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