Ji, Xing
Li, Jia
Huang, Yonghua
Sung, Pi-Lin
Yuan, Yuying
Liu, Qiang
Chen, Yan
Ju, Jia
Zhou, Yafeng
Huang, Shujia
Chen, Fang
Han, Yuan
Yuan, Wen
Fan, Cheng
Zhao, Qiang
Wu, Haitao
Feng, Suihua
Liu, Weiqiang
Li, Zhihua
Chen, Jingsi
Chen, Min
Yao, Hong
Zeng, Li
Ma, Tao
Fan, Shushu
Zhang, Jinman
Yuen, Ka Yiu
Cheng, So Hin
Chik, Irene Wing Shan
Liu, Nien-Tzu
Zhu, Jianyu
Lin, Siyuan
Cao, Jeremy
Tong, Steve
Shan, Zhiyuan
Li, Wenyan
Hekmat, Mohammad Reza
Garshasbi, Masoud
Suela, Javier
Torres, Yaima
Cigudosa, Juan C.
Ruiz, F. J. Pérez
Rodríguez, Laura
García, Mónica
Bernik, Janez
Traven, Eva
Reš, Uršula
Tul, Nataša
Tseng, Ching-Fong
Zhao, Depeng
Sun, Luming
Pan, Qiong
Shen, Li
Dai, Mengyao
Wang, Yuying
Wang, Jian
Yang, Huanming
Yin, Ye
Duan, Tao
Zhu, Baosheng
Choolani, Mahesh
Jin, Xin
Chen, Yingwei
Mao, Mao
Funding for this research was provided by:
National Key Research & Development Program of China (2016YFC0905400)
Young Scientists Fund of the National Natural Science Foundation of China (81601293)
Natural Science Foundation of Guangdong Province (2017A030306026)
Ministry of National Defense, People's Republic of China (2017JQ017)
the Guangzhou Science and Technology Project (201400000004-5, 201508020247)
the Pearl River Nova Program of Guangzhou (201506010065)
National Key R&D Program of China (2018YFC1002900)
National Key R&D Program of China (2018YFC1002901)
High-level Talents of Guangdong (2016TX03R171)
This article is maintained by: Elsevier
Article Title: Identifying occult maternal malignancies from 1.93 million pregnant women undergoing noninvasive prenatal screening tests
Journal Title: Genetics in Medicine
CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41436-019-0510-5
Content Type: article
Copyright: © 2019, The Author(s), under exclusive licence to the American College of Medical Genetics and Genomics