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Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
Published on: August 25, 2019
Improved library preparation protocols for amplicon sequencing-based noninvasive fetal genotyping for RHD-positive D
Asuka Hori1,2, Hiroko Ogata-Kawata1, Aiko Sasaki3
1Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, 2-10-1 Okura, Setagaya, Tokyo, 157-8535, Japan.
This study simplifies fetal RHD genotyping using a PCR-based method and unique molecular indexes (UMIs). These improvements reduce errors and costs, facilitating clinical implementation for East Asian populations.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Fetal RHD genotyping is crucial for managing RhD hemolytic disease.
- Conventional ligation-based methods for attaching sequencing adaptors are time-consuming and costly.
- Existing protocols are susceptible to PCR and sequencing errors, impacting reliability.
Purpose of the Study:
- To simplify the fetal RHD genotyping protocol by replacing ligation with a PCR-based adaptor attachment method.
- To enhance protocol reliability and robustness using unique molecular indexes (UMIs).
- To reduce the impact of PCR and sequencing errors in fetal RHD genotyping.
Main Methods:
- Development of a novel PCR-based method for Illumina sequencing adaptor ligation.
- Integration of unique molecular indexes (UMIs) into the PCR amplification process.
- Validation of the modified protocol for fetal RHD genotyping.
Main Results:
- The new protocols significantly reduced processing time and cost compared to the conventional method.
- UMI-based duplicate removal effectively minimized erroneously mapped sequence reads.
- The modified protocols demonstrated improved reliability and robustness.
Conclusions:
- The simplified and robust fetal RHD genotyping protocol facilitates clinical implementation.
- This advancement is particularly beneficial for the East Asian population.
- The use of UMIs enhances the accuracy of genetic analysis by mitigating PCR and sequencing errors.
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