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DOI 10.1371/journal.pone.0171886

Медицинская библиотека · PloS one · 2017

Rapid and simultaneous detection of common aneuploidies by quadruplex real-time polymerase chain reaction combined with melting curve analysis.

Lou Jiwu, Sun Manna, Zhao Ying, Ji Zhisong, Liu Fenghua, Li Dongzhi, Xu Wanfang, Lin Yangyang, Liu Yanhui

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Аннотация

BACKGROUND

During the prenatal period, the number variation of chromosomes 13, 18, 21, X and Y accounts for more than 80% of the clinically significant chromosomal abnormalities diagnosed. Rapid tests for prenatal diagnosis of these abnormalities can improve pregnancy management and alleviate parental anxiety. Here, we present a molecular alternative method for detecting common aneuploidies.

METHODS

This method is based on co-amplification of segmental duplications located on two different chromosomes using a single pair of primers. Segmental duplications have a high degree of sequence identity, but have single-nucleotide differences in some regions. These sequence differences can be quantified using melting curve analysis of dual-labeled probes to estimate the relative dosages of different chromosomes. We designed two quadruplex real-time PCR assays to detect aneuploidies of chromosomes 13, 18, 21, X and Y.

RESULTS

We examined 75 aneuploid DNA samples and 56 unaffected DNA control samples using these two assays and correctly identified all samples. Four cases of unbalanced translocation were also accurately detected. The observed averaged ratio for each chromosomal disorder was similar to the theoretically expected value.

CONCLUSIONS

Our real-time assay is a robust, rapid, and easy to conduct technique for prenatal diagnosis of common aneuploidies, representing a competitive alternative for use in diagnostic laboratories.

Для цитирования: Lou Jiwu, Sun Manna, Zhao Ying, Ji Zhisong, Liu Fenghua, Li Dongzhi, Xu Wanfang, Lin Yangyang, Liu Yanhui. Rapid and simultaneous detection of common aneuploidies by quadruplex real-time polymerase chain reaction combined with melting curve analysis.. PloS one. 2017. DOI: 10.1371/journal.pone.0171886.

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