Noninvasive prenatal diagnosis of common aneuploidies by semiconductor sequencing

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 f...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 111; no. 20; pp. 7415 - 7420
Main Authors Liao, Can, Yin, Ai-hua, Peng, Chun-fang, Fu, Fang, Yang, Jie-xia, Li, Ru, Chen, Yang-yi, Luo, Dong-hong, Zhang, Yong-ling, Ou, Yan-mei, Li, Jian, Wu, Jing, Mai, Ming-qin, Hou, Rui, Wu, Frances, Luo, Hongrong, Li, Dong-zhi, Liu, Hai-liang, Zhang, Xiao-zhuang, Zhang, Kang
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 20.05.2014
National Acad Sciences
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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.
AbstractList 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.
Chromosomal aneuploidies represent a major cause of fetal loss and birth defects. Current methods for the prenatal diagnosis of aneuploidy require invasive methods that are associated with a risk of miscarriage and other complications. Recently, noninvasive prenatal testing has been developed using cell-free fetal DNA in maternal plasma. In this study, we validated an effective method for noninvasive diagnosis of fetal aneuploidy using a semiconductor sequencer, which reduces the time and cost of sequencing. Our method is cost-effective and practical in a clinical setting with high sensitivity and specificity for the diagnosis of trisomy 13, 18, and 21 as well as sex chromosome aneuploidies. 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.
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.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.
Author Yang, Jie-xia
Luo, Dong-hong
Zhang, Kang
Yin, Ai-hua
Chen, Yang-yi
Hou, Rui
Wu, Jing
Peng, Chun-fang
Ou, Yan-mei
Li, Dong-zhi
Zhang, Xiao-zhuang
Fu, Fang
Mai, Ming-qin
Zhang, Yong-ling
Li, Ru
Luo, Hongrong
Liu, Hai-liang
Li, Jian
Liao, Can
Wu, Frances
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/24799683$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1371/journal.pone.0021791
10.1002/uog.8988
10.1159/000271995
10.1186/1755-8794-5-57
10.1056/NEJMoa1311037
10.1046/j.1365-2605.2003.00421.x
10.1038/sj.ejhg.5201896
10.1002/pd.623
10.1097/01.AOG.0000291570.63450.44
10.1097/AOG.0b013e31824fb482
10.1002/pd.4002
10.1007/978-1-61779-092-8_11
10.1371/journal.pone.0010439
10.1111/j.1601-183X.2008.00397.x
10.1073/pnas.0810641105
10.1093/bib/bbq016
10.1093/bioinformatics/btp324
10.1111/j.1469-8749.2009.03545.x
10.3109/14767058.2010.520769
10.1007/s10815-011-9633-6
10.1093/clinchem/47.9.1607
10.1097/AOG.0b013e31816a4ee3
10.1038/nature10242
10.1016/j.ajog.2012.05.021
10.1056/NEJMcp0900134
10.1073/pnas.0808319105
10.1056/NEJMra030360
10.1016/j.ajog.2012.08.033
10.1097/GIM.0b013e3182368a0e
10.1186/1750-1172-5-8
10.1038/ng.437
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1C.L., A.-h.Y., and C.-f.P. contributed equally to this work.
Edited by J. G. Seidman, Harvard Medical School, Boston, MA, and approved April 3, 2014 (received for review December 3, 2013)
Author contributions: C.L., A.-h.Y., X.-z.Z., and K.Z. designed research; A.-h.Y., C.-f.P., F.F., J.-x.Y., R.L., Y.-y.C., D.-h.L., Y.-l.Z., Y.-m.O., J.L., J.W., M.-q.M., H.L., D.-z.L., and H.-l.L. performed research; C.-f.P., R.H., and H.-l.L. contributed new reagents/analytic tools; C.L., A.-h.Y., F.W., H.-l.L., and K.Z. analyzed data; and C.L., A.-h.Y., F.W., H.-l.L., X.-z.Z., and K.Z. wrote the paper.
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References Bin W (e_1_3_3_11_2) 2006; 25
e_1_3_3_17_2
e_1_3_3_16_2
e_1_3_3_19_2
e_1_3_3_18_2
e_1_3_3_13_2
e_1_3_3_12_2
e_1_3_3_15_2
e_1_3_3_14_2
e_1_3_3_32_2
e_1_3_3_33_2
e_1_3_3_30_2
e_1_3_3_10_2
e_1_3_3_31_2
Zhang YP (e_1_3_3_2_2) 2011; 46
e_1_3_3_6_2
e_1_3_3_5_2
e_1_3_3_8_2
e_1_3_3_7_2
e_1_3_3_28_2
e_1_3_3_9_2
e_1_3_3_27_2
e_1_3_3_29_2
e_1_3_3_24_2
e_1_3_3_23_2
e_1_3_3_26_2
e_1_3_3_25_2
e_1_3_3_20_2
e_1_3_3_1_2
e_1_3_3_4_2
e_1_3_3_22_2
e_1_3_3_3_2
e_1_3_3_21_2
24969704 - Sci China Life Sci. 2014 Jul;57(7):737-8
References_xml – ident: e_1_3_3_33_2
  doi: 10.1371/journal.pone.0021791
– ident: e_1_3_3_13_2
  doi: 10.1002/uog.8988
– ident: e_1_3_3_17_2
  doi: 10.1159/000271995
– ident: e_1_3_3_32_2
  doi: 10.1186/1755-8794-5-57
– ident: e_1_3_3_22_2
  doi: 10.1056/NEJMoa1311037
– ident: e_1_3_3_3_2
  doi: 10.1046/j.1365-2605.2003.00421.x
– ident: e_1_3_3_14_2
  doi: 10.1038/sj.ejhg.5201896
– ident: e_1_3_3_16_2
  doi: 10.1002/pd.623
– ident: e_1_3_3_15_2
  doi: 10.1097/01.AOG.0000291570.63450.44
– ident: e_1_3_3_21_2
  doi: 10.1097/AOG.0b013e31824fb482
– ident: e_1_3_3_25_2
  doi: 10.1002/pd.4002
– ident: e_1_3_3_12_2
  doi: 10.1007/978-1-61779-092-8_11
– ident: e_1_3_3_27_2
  doi: 10.1371/journal.pone.0010439
– ident: e_1_3_3_4_2
  doi: 10.1111/j.1601-183X.2008.00397.x
– ident: e_1_3_3_23_2
  doi: 10.1073/pnas.0810641105
– ident: e_1_3_3_26_2
  doi: 10.1093/bib/bbq016
– ident: e_1_3_3_30_2
  doi: 10.1093/bioinformatics/btp324
– ident: e_1_3_3_8_2
  doi: 10.1111/j.1469-8749.2009.03545.x
– ident: e_1_3_3_7_2
  doi: 10.3109/14767058.2010.520769
– ident: e_1_3_3_9_2
  doi: 10.1007/s10815-011-9633-6
– ident: e_1_3_3_28_2
  doi: 10.1093/clinchem/47.9.1607
– ident: e_1_3_3_10_2
  doi: 10.1097/AOG.0b013e31816a4ee3
– ident: e_1_3_3_29_2
  doi: 10.1038/nature10242
– ident: e_1_3_3_18_2
  doi: 10.1016/j.ajog.2012.05.021
– volume: 25
  start-page: 24
  year: 2006
  ident: e_1_3_3_11_2
  article-title: The economic burden of Down's syndrome in China
  publication-title: Chin Health Econ
– ident: e_1_3_3_1_2
  doi: 10.1056/NEJMcp0900134
– ident: e_1_3_3_24_2
  doi: 10.1073/pnas.0808319105
– ident: e_1_3_3_6_2
  doi: 10.1056/NEJMra030360
– ident: e_1_3_3_19_2
  doi: 10.1016/j.ajog.2012.08.033
– volume: 46
  start-page: 644
  year: 2011
  ident: e_1_3_3_2_2
  article-title: [Karyotype analysis of amniotic fluid cells and comparison of chromosomal abnormality rate during second trimester]
  publication-title: Zhonghua Fu Chan Ke Za Zhi
– ident: e_1_3_3_20_2
  doi: 10.1097/GIM.0b013e3182368a0e
– ident: e_1_3_3_5_2
  doi: 10.1186/1750-1172-5-8
– ident: e_1_3_3_31_2
  doi: 10.1038/ng.437
– reference: 24969704 - Sci China Life Sci. 2014 Jul;57(7):737-8
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Snippet Massively parallel sequencing (MPS) of cell-free fetal DNA from maternal plasma has revolutionized our ability to perform noninvasive prenatal diagnosis. This...
Chromosomal aneuploidies represent a major cause of fetal loss and birth defects. Current methods for the prenatal diagnosis of aneuploidy require invasive...
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SubjectTerms Adult
Aneuploidy
Biological Sciences
Cells
Chromosome Disorders - diagnosis
Chromosomes
Chromosomes, Human, Pair 13
Chromosomes, Human, Pair 18
Cost-Benefit Analysis
Deoxyribonucleic acid
DNA
Down Syndrome - diagnosis
Female
fetal death
Fetus
Fetuses
Globular star clusters
high-throughput nucleotide sequencing
High-Throughput Nucleotide Sequencing - instrumentation
High-Throughput Nucleotide Sequencing - methods
Humans
Karyotyping
Male
Pregnancy
Prenatal Diagnosis - methods
Prospective Studies
Retrospective Studies
risk
Risk assessment
screening
Semiconductors
Sensitivity and Specificity
Sequencing
Sex chromosomes
trisomics
Trisomy - diagnosis
Trisomy 13 Syndrome
Trisomy 18 Syndrome
Trisomy 21
Z score
Title Noninvasive prenatal diagnosis of common aneuploidies by semiconductor sequencing
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http://www.pnas.org/content/111/20/7415.abstract
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