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Noninvasive detection of fetal subchromosomal abnormalities by semiconductor sequencing of maternal plasma DNA.
Yin, Ai-hua; Peng, Chun-fang; Zhao, Xin; Caughey, Bennett A; Yang, Jie-xia; Liu, Jian; Huang, Wei-wei; Liu, Chang; Luo, Dong-hong; Liu, Hai-liang; Chen, Yang-yi; Wu, Jing; Hou, Rui; Zhang, Mindy; Ai, Michael; Zheng, Lianghong; Xue, Rachel Q; Mai, Ming-qin; Guo, Fang-fang; Qi, Yi-ming; Wang, Dong-mei; Krawczyk, Michal; Zhang, Daniel; Wang, Yu-nan; Huang, Quan-fei; Karin, Michael; Zhang, Kang.
Afiliación
  • Yin AH; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China; Guangdong Thalassemia Diagnostic Centre, Guangzhou 510010, China; yinaiwa@vip.126.com qfh
  • Peng CF; CapitalBio Genomics Co., Ltd., Dongguan 523808, China;
  • Zhao X; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Caughey BA; Institute for Genomic Medicine and Shiley Eye Institute, University of California, San Diego, La Jolla, CA 92328;
  • Yang JX; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Liu J; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Huang WW; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Liu C; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Luo DH; CapitalBio Genomics Co., Ltd., Dongguan 523808, China;
  • Liu HL; CapitalBio Genomics Co., Ltd., Dongguan 523808, China;
  • Chen YY; CapitalBio Genomics Co., Ltd., Dongguan 523808, China;
  • Wu J; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Hou R; Kangrui Biological Pharmaceutical Technology Co., Ltd., Guangzhou 510005, China;
  • Zhang M; Molecular Medicine Research Center, State Key Laboratory of Biotherapy, West China Hospital and Sichuan University, Chengdu 610041, China;
  • Ai M; Institute for Genomic Medicine and Shiley Eye Institute, University of California, San Diego, La Jolla, CA 92328;
  • Zheng L; Kangrui Biological Pharmaceutical Technology Co., Ltd., Guangzhou 510005, China;
  • Xue RQ; Institute for Genomic Medicine and Shiley Eye Institute, University of California, San Diego, La Jolla, CA 92328;
  • Mai MQ; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Guo FF; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Qi YM; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Wang DM; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Krawczyk M; Institute for Genomic Medicine and Shiley Eye Institute, University of California, San Diego, La Jolla, CA 92328;
  • Zhang D; Institute for Genomic Medicine and Shiley Eye Institute, University of California, San Diego, La Jolla, CA 92328;
  • Wang YN; Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, Guangzhou 510010, China; Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, Guangzhou 510010, China;
  • Huang QF; CapitalBio Genomics Co., Ltd., Dongguan 523808, China; yinaiwa@vip.126.com qfhuang@capitalgenomics.com mkarin@ucsd.edu kang.zhang@gmail.com.
  • Karin M; Department of Pharmacology, University of California, San Diego, La Jolla, CA 92328; yinaiwa@vip.126.com qfhuang@capitalgenomics.com mkarin@ucsd.edu kang.zhang@gmail.com.
  • Zhang K; Institute for Genomic Medicine and Shiley Eye Institute, University of California, San Diego, La Jolla, CA 92328; Molecular Medicine Research Center, State Key Laboratory of Biotherapy, West China Hospital and Sichuan University, Chengdu 610041, China; Veterans Administration Healthcare System, San
Proc Natl Acad Sci U S A ; 112(47): 14670-5, 2015 Nov 24.
Article en En | MEDLINE | ID: mdl-26554006
Noninvasive prenatal testing (NIPT) using sequencing of fetal cell-free DNA from maternal plasma has enabled accurate prenatal diagnosis of aneuploidy and become increasingly accepted in clinical practice. We investigated whether NIPT using semiconductor sequencing platform (SSP) could reliably detect subchromosomal deletions/duplications in women carrying high-risk fetuses. We first showed that increasing concentration of abnormal DNA and sequencing depth improved detection. Subsequently, we analyzed plasma from 1,456 pregnant women to develop a method for estimating fetal DNA concentration based on the size distribution of DNA fragments. Finally, we collected plasma from 1,476 pregnant women with fetal structural abnormalities detected on ultrasound who also underwent an invasive diagnostic procedure. We used SSP of maternal plasma DNA to detect subchromosomal abnormalities and validated our results with array comparative genomic hybridization (aCGH). With 3.5 million reads, SSP detected 56 of 78 (71.8%) subchromosomal abnormalities detected by aCGH. With increased sequencing depth up to 10 million reads and restriction of the size of abnormalities to more than 1 Mb, sensitivity improved to 69 of 73 (94.5%). Of 55 false-positive samples, 35 were caused by deletions/duplications present in maternal DNA, indicating the necessity of a validation test to exclude maternal karyotype abnormalities. This study shows that detection of fetal subchromosomal abnormalities is a viable extension of NIPT based on SSP. Although we focused on the application of cell-free DNA sequencing for NIPT, we believe that this method has broader applications for genetic diagnosis, such as analysis of circulating tumor DNA for detection of cancer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico Prenatal / Semiconductores / ADN / Aberraciones Cromosómicas / Análisis de Secuencia de ADN / Feto Tipo de estudio: Diagnostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2015 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diagnóstico Prenatal / Semiconductores / ADN / Aberraciones Cromosómicas / Análisis de Secuencia de ADN / Feto Tipo de estudio: Diagnostic_studies Límite: Female / Humans / Pregnancy Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2015 Tipo del documento: Article Pais de publicación: Estados Unidos