| Literature DB >> 24799683 |
Can Liao1, Ai-hua Yin2, Chun-fang Peng3, Fang Fu4, Jie-xia Yang5, Ru Li4, Yang-yi Chen3, Dong-hong Luo3, Yong-ling Zhang4, Yan-mei Ou4, Jian Li4, Jing Wu5, Ming-qin Mai5, Rui Hou6, Frances Wu7, Hongrong Luo8, Dong-zhi Li4, Hai-liang Liu9, Xiao-zhuang Zhang10, Kang Zhang11.
Abstract
Massively parallel sequencing (MPS) of cell-free fetal DNA from maternal plasma has revolutionized our ability to perform noninvasive prenatal diagnosis. This approach avoids the risk of fetal loss associated with more invasive diagnostic procedures. The present study developed an effective method for noninvasive prenatal diagnosis of common chromosomal aneuploidies using a benchtop semiconductor sequencing platform (SSP), which relies on the MPS platform but offers advantages over existing noninvasive screening techniques. A total of 2,275 pregnant subjects was included in the study; of these, 515 subjects who had full karyotyping results were used in a retrospective analysis, and 1,760 subjects without karyotyping were analyzed in a prospective study. In the retrospective study, all 55 fetal trisomy 21 cases were identified using the SSP with a sensitivity and specificity of 99.94% and 99.46%, respectively. The SSP also detected 16 trisomy 18 cases with 100% sensitivity and 99.24% specificity and 3 trisomy 13 cases with 100% sensitivity and 100% specificity. Furthermore, 15 fetuses with sex chromosome aneuploidies (10 45,X, 2 47,XYY, 2 47,XXX, and 1 47,XXY) were detected. In the prospective study, nine fetuses with trisomy 21, three with trisomy 18, three with trisomy 13, and one with 45,X were detected. To our knowledge, this is the first large-scale clinical study to systematically identify chromosomal aneuploidies based on cell-free fetal DNA using the SSP and provides an effective strategy for large-scale noninvasive screening for chromosomal aneuploidies in a clinical setting.Entities:
Mesh:
Year: 2014 PMID: 24799683 PMCID: PMC4034209 DOI: 10.1073/pnas.1321997111
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205