Rapid Prenatal Diagnosis of Common Numerical Chromosomal Abnormalities by High-Resolution Melting Analysis of Segmental Duplications

2014 ◽  
Vol 18 (3) ◽  
pp. 141-148 ◽  
Author(s):  
Yulin Zhou ◽  
Li Xiao ◽  
Qichang Wu ◽  
Kaifeng Zhang ◽  
Qiwei Guo
2014 ◽  
Vol 13 (6) ◽  
pp. 617-622 ◽  
Author(s):  
Myrto Poulou ◽  
Aspasia Destouni ◽  
Georgia Kakourou ◽  
Emmanuel Kanavakis ◽  
Maria Tzetis

2017 ◽  
Vol 106 (6) ◽  
pp. 757-764 ◽  
Author(s):  
Pimlak Charoenkwan ◽  
Supatra Sirichotiyakul ◽  
Arunee Phusua ◽  
Sudjai Suanta ◽  
Kanda Fanhchaksai ◽  
...  

2012 ◽  
Vol 58 (6) ◽  
pp. 1019-1025 ◽  
Author(s):  
Qiwei Guo ◽  
Li Xiao ◽  
Yulin Zhou

Abstract BACKGROUND Several molecular methods, such as quantitative fluorescence PCR and multiplex ligation-dependent probe amplification, currently serve as important adjuncts to traditional karyotyping for the diagnosis of aneuploidy; however, the performance or throughput limitations of these methods hinder their use for routine prenatal diagnosis and population-based postnatal screening. We developed a novel approach, called “high-resolution melting analysis of segmental duplications,” to detect common aneuploidies. METHODS In this method, similar sequences located on different chromosomes are amplified simultaneously with a single primer set; the PCR products are then analyzed by high-resolution melting. Aneuploidy-associated dosage abnormalities produce different ratios of similar amplicons, which produce melting curves that are detectably different from those of samples from unaffected individuals. We applied this method to DNA samples isolated from individuals with trisomy 21 (n = 48), trisomy 18 (n = 10), trisomy 13 (n = 3), 45,X (n = 8), and 47,XXY (n = 14), and from unaffected controls (n = 48). RESULTS As judged by the karyotyping results, our method attained 100% diagnostic sensitivity and 99.6% diagnostic specificity. Moreover, our method was able to detect a change in chromosome dosage as low as 1.05-fold. CONCLUSIONS This novel method clearly differentiates samples of patients with common aneuploidies from those of unaffected controls, while markedly simplifying the assays and reducing time and costs. The assay has sufficient throughput to meet the demands of large-scale testing, such as population-based postnatal screening, and is thus suitable for routine use.


Author(s):  
Bertrand Chesneau ◽  
Aurélie Plancke ◽  
Guillaume Rolland ◽  
Nicolas Chassaing ◽  
Christine Coubes ◽  
...  

AbstractMarfan syndrome (MFS) is a heritable connective tissue disorder (HCTD) caused by pathogenic variants in FBN1 that frequently occur de novo. Although individuals with somatogonadal mosaicisms have been reported with respect to MFS and other HCTD, the overall frequency of parental mosaicism in this pathology is unknown. In an attempt to estimate this frequency, we reviewed all the 333 patients with a disease-causing variant in FBN1. We then used direct sequencing, combined with High Resolution Melting Analysis, to detect mosaicism in their parents, complemented by NGS when a mosaicism was objectivized. We found that (1) the number of apparently de novo events is much higher than the classically admitted number (around 50% of patients and not 25% as expected for FBN1) and (2) around 5% of the FBN1 disease-causing variants were not actually de novo as anticipated, but inherited in a context of somatogonadal mosaicisms revealed in parents from three families. High Resolution Melting Analysis and NGS were more efficient at detecting and evaluating the level of mosaicism compared to direct Sanger sequencing. We also investigated individuals with a causal variant in another gene identified through our “aortic diseases genes” NGS panel and report, for the first time, on an individual with a somatogonadal mosaicism in COL5A1. Our study shows that parental mosaicism is not that rare in Marfan syndrome and should be investigated with appropriate methods given its implications in patient’s management.


2016 ◽  
Vol 54 (7) ◽  
pp. 714-724 ◽  
Author(s):  
Matej Bezdicek ◽  
Martina Lengerova ◽  
Dita Ricna ◽  
Barbora Weinbergerova ◽  
Iva Kocmanova ◽  
...  

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