A Novel System for the Detection of Spontaneous Abortion-Causing Aneuploidy and Its Erroneous Chromosome Origins through the Combination of Low-Pass Copy Number Variation Sequencing and NGS-Based STR Tests

Author:

Lei Caixia1ORCID,Liao Kai2,Zhao Yuwei2,Long Zhoukai3ORCID,Zhu Saijuan1,Wu Junping1,Xiao Min1ORCID,Zhou Jing1,Zhang Shuo1,Li Lianbin4,Zhu Yijian4,Lu Daru24,Yang Jingmin234,Sun Xiaoxi15

Affiliation:

1. Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China

2. State Key Laboratory of Genetic Engineering, MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai 200438, China

3. Shanghai WeHealth BioMedical Technology Co., Ltd., Shanghai 201318, China

4. NHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning, Science and Technology Research Institute, Chongqing 404100, China

5. Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China

Abstract

During the period of 2018–2020, we first combined reported low-pass whole genome sequencing and NGS-based STR tests for miscarriage samples analysis. Compared with G-banding karyotyping, the system increased the detection rate of chromosomal abnormalities in miscarriage samples to 56.4% in 500 unexplained recurrent spontaneous abortions. In this study, a total of 386 STR loci were developed on twenty-two autosomes and two sex chromosomes (X and Y chromosomes), which can help to distinguish triploidy, uniparental diploidy and maternal cell contamination and can trace the parental origin of erroneous chromosomes. It is not possible to accomplish this with existing methods of detection in miscarriage samples. Among the tested aneuploid errors, the most frequently detected error was trisomy (33.4% in total and 59.9% in the error chromosome group). In the trisomy samples, 94.7% extra chromosomes were of maternal origin and 5.31% were of paternal origin. This novel system improves the genetic analysis method of miscarriage samples and provides more reference information for clinical pregnancy guidance.

Funder

Shanghai Shen Kang Hospital Development Center Municipal Hospital New Frontier Technology Joint Project

Key project of Chongqing Natural Science Foundation

Chongqing Natural Science Foundation

Publisher

MDPI AG

Subject

General Medicine

Reference42 articles.

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4. The association between vaginal bacterial composition and miscarriage: A nested case-control study;Bobdiwala;BJOG,2022

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