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Noninvasive Fetal Trisomy (NIFTY) test: an advanced noninvasive prenatal diagnosis methodology for fetal autosomal and sex chromosomal aneuploidies

Authors :
Shengpei Chen
Hongyun Zhang
Jiansheng Xie
Baomin Yin
Hui Guo
Jun-Jun Wang
Hui-Hui Jiang
Yue Su
Wei-wei Wang
Xianghua Chai
Huakun Zhang
Zhongming Tian
Wei-Mou Zheng
Jianhong Xie
Songgang Li
Lifu Liu
Qiyun Li
Yuying Yuan
Shan Dan
Huifei Chen
Xiuqing Zhang
Wen Su
Yihan Li
Linhua Lin
Yuqiu Zhou
Jian Wang
Fang-Fang Chen
Fuman Jiang
Zhaoling Xuan
Yingrui Li
Chunlei Zhang
Xiaoyu Pan
Jinghui Ren
Lijian Zhao
Zhengyu Zhang
Peipei Li
Source :
BMC Medical Genomics, BMC Medical Genomics, Vol 5, Iss 1, p 57 (2012)
Publication Year :
2011

Abstract

Background Conventional prenatal screening tests, such as maternal serum tests and ultrasound scan, have limited resolution and accuracy. Methods We developed an advanced noninvasive prenatal diagnosis method based on massively parallel sequencing. The Noninvasive Fetal Trisomy (NIFTY) test, combines an optimized Student’s t-test with a locally weighted polynomial regression and binary hypotheses. We applied the NIFTY test to 903 pregnancies and compared the diagnostic results with those of full karyotyping. Results 16 of 16 trisomy 21, 12 of 12 trisomy 18, two of two trisomy 13, three of four 45, X, one of one XYY and two of two XXY abnormalities were correctly identified. But one false positive case of trisomy 18 and one false negative case of 45, X were observed. The test performed with 100% sensitivity and 99.9% specificity for autosomal aneuploidies and 85.7% sensitivity and 99.9% specificity for sex chromosomal aneuploidies. Compared with three previously reported z-score approaches with/without GC-bias removal and with internal control, the NIFTY test was more accurate and robust for the detection of both autosomal and sex chromosomal aneuploidies in fetuses. Conclusion Our study demonstrates a powerful and reliable methodology for noninvasive prenatal diagnosis.

Details

ISSN :
17558794
Volume :
5
Database :
OpenAIRE
Journal :
BMC medical genomics
Accession number :
edsair.doi.dedup.....f61e3d4948e66091d4225e991c295f06