Genetic deconvolution of fetal and maternal cell-free DNA in maternal plasma enables next-generation non-invasive prenatal screening

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作者
Chenming Xu
Jianli Li
Songchang Chen
Xiaoqiang Cai
Ruilin Jing
Xiaomei Qin
Dong Pan
Xin Zhao
Dongyang Ma
Xiufeng Xu
Xiaojun Liu
Can Wang
Bingxin Yang
Lanlan Zhang
Shuyuan Li
Yiyao Chen
Nina Pan
Ping Tang
Jieping Song
Nian Liu
Chen Zhang
Zhiwei Zhang
Xiang Qiu
Weiliang Lu
Chunmei Ying
Xiaotian Li
Congjian Xu
Yanlin Wang
Yanting Wu
He-Feng Huang
Jinglan Zhang
机构
[1] Fudan University,Obstetrics and Gynecology Hospital, Institute of Reproduction and Development
[2] Shanghai Jiao Tong University,International Peace Maternity and Child Health Hospital, School of Medicine
[3] Beijing BioBiggen Technology Co.,State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences
[4] Ltd,Medical Genetics Center
[5] Fudan University,Research Units of Embryo Original Diseases
[6] Jiaxing Maternity and Child Health Care Hospital,undefined
[7] Maternal and Child Health Hospital of Hubei Province,undefined
[8] Obstetrics and Gynecology Hospital of Fudan University,undefined
[9] Shanghai Key Laboratory of Embryo Original Diseases,undefined
[10] Chinese Academy of Medical Sciences,undefined
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摘要
Current non-invasive prenatal screening (NIPS) analyzes circulating fetal cell-free DNA (cfDNA) in maternal peripheral blood for selected aneuploidies or microdeletion/duplication syndromes. Many genetic disorders are refractory to NIPS largely because the maternal genetic material constitutes most of the total cfDNA present in the maternal plasma, which hinders the detection of fetus-specific genetic variants. Here, we developed an innovative sequencing method, termed coordinative allele-aware target enrichment sequencing (COATE-seq), followed by multidimensional genomic analyses of sequencing read depth, allelic fraction, and linked single nucleotide polymorphisms, to accurately separate the fetal genome from the maternal background. Analytical confounders including multiple gestations, maternal copy number variations, and absence of heterozygosity were successfully recognized and precluded for fetal variant analyses. In addition, fetus-specific genomic characteristics, including the cfDNA fragment length, meiotic error origins, meiotic recombination, and recombination breakpoints were identified which reinforced the fetal variant assessment. In 1129 qualified pregnancies tested, 54 fetal aneuploidies, 8 microdeletions/microduplications, and 8 monogenic variants were detected with 100% sensitivity and 99.3% specificity. Using the comprehensive cfDNA genomic analysis tools developed, we found that 60.3% of aneuploidy samples had aberrant meiotic recombination providing important insights into the mechanism underlying meiotic nondisjunctions. Altogether, we show that the genetic deconvolution of the fetal and maternal cfDNA enables thorough and accurate delineation of fetal genome which paves the way for the next-generation prenatal screening of essentially all types of human genetic disorders.
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