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...
Saved in:
Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 111; no. 20; pp. 7415 - 7420 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
20.05.2014
National Acad Sciences |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |
Author_xml | – sequence: 1 givenname: Can surname: Liao fullname: Liao, Can – sequence: 2 givenname: Ai-hua surname: Yin fullname: Yin, Ai-hua – sequence: 3 givenname: Chun-fang surname: Peng fullname: Peng, Chun-fang – sequence: 4 givenname: Fang surname: Fu fullname: Fu, Fang – sequence: 5 givenname: Jie-xia surname: Yang fullname: Yang, Jie-xia – sequence: 6 givenname: Ru surname: Li fullname: Li, Ru – sequence: 7 givenname: Yang-yi surname: Chen fullname: Chen, Yang-yi – sequence: 8 givenname: Dong-hong surname: Luo fullname: Luo, Dong-hong – sequence: 9 givenname: Yong-ling surname: Zhang fullname: Zhang, Yong-ling – sequence: 10 givenname: Yan-mei surname: Ou fullname: Ou, Yan-mei – sequence: 11 givenname: Jian surname: Li fullname: Li, Jian – sequence: 12 givenname: Jing surname: Wu fullname: Wu, Jing – sequence: 13 givenname: Ming-qin surname: Mai fullname: Mai, Ming-qin – sequence: 14 givenname: Rui surname: Hou fullname: Hou, Rui – sequence: 15 givenname: Frances surname: Wu fullname: Wu, Frances – sequence: 16 givenname: Hongrong surname: Luo fullname: Luo, Hongrong – sequence: 17 givenname: Dong-zhi surname: Li fullname: Li, Dong-zhi – sequence: 18 givenname: Hai-liang surname: Liu fullname: Liu, Hai-liang – sequence: 19 givenname: Xiao-zhuang surname: Zhang fullname: Zhang, Xiao-zhuang – sequence: 20 givenname: Kang surname: Zhang fullname: Zhang, Kang |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24799683$$D View this record in MEDLINE/PubMed |
BookMark | eNqNks1v1DAQxS1URLeFMycgUi9c0o6_kviChCoKSBUIQc-W7TiLV4kd7GSl_vc42mUXegBOljW_eX5vPGfoxAdvEXqO4RJDTa9Gr9IlpgQLUWOMH6EVBoHLigk4QSsAUpcNI-wUnaW0AQDBG3iCTgmrhagaukJfPgXv_FYlt7XFGK1Xk-qL1qm1D8mlInSFCcMQfKG8ncc-uNbZVOj7ItnBmeDb2Uwh5tuP2Xrj_PopetypPtln-_Mc3d28-3b9obz9_P7j9dvb0lSETiVhWPCKW6KtAqaEbXWFOa-6WusGtG4hG1S84UCIUhXXXOGOt5o02hijKD1Hb3a646wH2xrrp6h6OUY3qHgvg3Lyz4p33-U6bCUDygiILPB6LxBDNp8mObhkbN_npGFOEjdAMWmANP9GeZWnKRiH_0BJTUkNhGf04gG6CXP0eWiZykwldjZf_p7zEPDXH2bgageYGFKKtjsgGOSyJXLZEnncktzBH3QYN6nJhWVQrv9L36u9laVweAVjSUDWDC-RXuyITcpbcfRK61wWcFToVJBqHV2Sd18J4AoAM0bzGz8Bca3ezQ |
CitedBy_id | crossref_primary_10_1002_uog_16010 crossref_primary_10_1109_TCBB_2018_2869738 crossref_primary_10_3390_jcm9082466 crossref_primary_10_1111_jog_13323 crossref_primary_10_1016_j_cll_2022_09_014 crossref_primary_10_1002_uog_20112 crossref_primary_10_1038_s41598_025_87218_x crossref_primary_10_1186_s12920_020_00751_8 crossref_primary_10_1002_uog_14911 crossref_primary_10_1186_s13039_018_0392_2 crossref_primary_10_1002_pd_5566 crossref_primary_10_1007_s10815_020_02056_2 crossref_primary_10_1042_BSR20170252 crossref_primary_10_1080_10408363_2019_1631749 crossref_primary_10_1186_s12920_016_0182_9 crossref_primary_10_1002_jcla_24827 crossref_primary_10_1002_uog_15791 crossref_primary_10_11622_smedj_2015001 crossref_primary_10_1007_s11427_014_4696_0 crossref_primary_10_1016_j_cca_2019_04_064 crossref_primary_10_1007_s11427_019_9600_0 crossref_primary_10_1016_j_mcp_2022_101870 crossref_primary_10_1073_pnas_1518151112 crossref_primary_10_1186_s12864_016_2745_8 crossref_primary_10_1002_uog_20412 crossref_primary_10_1186_s12920_016_0222_5 crossref_primary_10_1111_jog_15805 crossref_primary_10_1186_s40246_019_0198_2 crossref_primary_10_1371_journal_pone_0144811 crossref_primary_10_1186_s13073_021_00836_8 crossref_primary_10_1016_j_yamp_2021_07_002 crossref_primary_10_1056_NEJMc1405486 crossref_primary_10_1016_j_molmed_2016_09_008 crossref_primary_10_1080_07853890_2016_1254816 crossref_primary_10_3390_genes12020141 crossref_primary_10_1155_2018_9498140 crossref_primary_10_1016_j_clinbiochem_2018_06_015 crossref_primary_10_1007_s11427_016_0411_8 crossref_primary_10_1038_s41598_023_48358_0 crossref_primary_10_1111_1471_0528_14050 crossref_primary_10_1186_s40246_019_0201_y crossref_primary_10_1186_s13039_019_0451_3 crossref_primary_10_1186_s12920_019_0639_8 crossref_primary_10_1134_S1022795419100053 crossref_primary_10_3390_ijms20143414 crossref_primary_10_1002_pd_4841 crossref_primary_10_1038_srep44706 crossref_primary_10_5582_bst_2018_01044 crossref_primary_10_1109_ACCESS_2020_3000483 crossref_primary_10_1002_pd_5014 crossref_primary_10_5582_bst_2017_01296 crossref_primary_10_1002_14651858_CD011767_pub2 crossref_primary_10_1002_iub_2015 crossref_primary_10_1002_uog_14791 crossref_primary_10_1186_s40246_020_00268_2 crossref_primary_10_1159_000499173 crossref_primary_10_1038_s41598_019_42980_7 crossref_primary_10_1002_pd_4551 crossref_primary_10_1186_s12859_018_2332_x crossref_primary_10_1038_s41431_019_0443_0 crossref_primary_10_1093_bioinformatics_bty806 crossref_primary_10_3389_fgene_2020_570333 crossref_primary_10_1007_s00404_024_07800_y crossref_primary_10_1002_jcla_22711 crossref_primary_10_1590_1414_431x2023e12506 crossref_primary_10_1097_MD_0000000000005126 crossref_primary_10_3389_fmolb_2021_649169 crossref_primary_10_1186_s12864_024_10267_5 crossref_primary_10_1016_j_cca_2016_03_005 crossref_primary_10_1080_14767058_2017_1369947 crossref_primary_10_1002_mgg3_1297 crossref_primary_10_1371_journal_pone_0110240 crossref_primary_10_1002_pd_4819 crossref_primary_10_1002_pd_5908 crossref_primary_10_1097_MD_0000000000029985 crossref_primary_10_1186_s13039_020_00485_3 crossref_primary_10_3390_ijms20184403 crossref_primary_10_1371_journal_pone_0207840 crossref_primary_10_1002_pd_4777 crossref_primary_10_1002_pd_4530 crossref_primary_10_38103_jcmhch_83_2 crossref_primary_10_3389_fgene_2021_630787 crossref_primary_10_1016_j_tjog_2019_05_021 crossref_primary_10_1038_s41598_023_38151_4 crossref_primary_10_1080_01443615_2022_2039902 crossref_primary_10_1186_s13039_017_0341_5 crossref_primary_10_1016_j_cca_2015_02_014 crossref_primary_10_3390_ijms20163959 crossref_primary_10_61186_jss_18_2_7 crossref_primary_10_1002_pd_5340 crossref_primary_10_1080_14767058_2023_2233662 crossref_primary_10_1016_j_ajog_2019_07_044 crossref_primary_10_1186_s40246_019_0244_0 crossref_primary_10_1093_bioinformatics_btx728 crossref_primary_10_1186_s40246_021_00332_5 crossref_primary_10_3389_fgene_2022_1047474 crossref_primary_10_3389_fgene_2024_1390539 |
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 |
ContentType | Journal Article |
Copyright | copyright © 1993–2008 National Academy of Sciences of the United States of America Copyright National Academy of Sciences May 20, 2014 |
Copyright_xml | – notice: copyright © 1993–2008 National Academy of Sciences of the United States of America – notice: Copyright National Academy of Sciences May 20, 2014 |
DBID | FBQ AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QG 7QL 7QP 7QR 7SN 7SS 7T5 7TK 7TM 7TO 7U9 8FD C1K FR3 H94 M7N P64 RC3 7X8 7S9 L.6 5PM |
DOI | 10.1073/pnas.1321997111 |
DatabaseName | AGRIS CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Neurosciences Abstracts Nucleic Acids Abstracts Oncogenes and Growth Factors Abstracts Virology and AIDS Abstracts Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database AIDS and Cancer Research Abstracts Algology Mycology and Protozoology Abstracts (Microbiology C) Biotechnology and BioEngineering Abstracts Genetics Abstracts MEDLINE - Academic AGRICOLA AGRICOLA - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Virology and AIDS Abstracts Oncogenes and Growth Factors Abstracts Technology Research Database Nucleic Acids Abstracts Ecology Abstracts Neurosciences Abstracts Biotechnology and BioEngineering Abstracts Environmental Sciences and Pollution Management Entomology Abstracts Genetics Abstracts Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) AIDS and Cancer Research Abstracts Chemoreception Abstracts Immunology Abstracts Engineering Research Database Calcium & Calcified Tissue Abstracts MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | Virology and AIDS Abstracts AGRICOLA MEDLINE - Academic Genetics Abstracts MEDLINE CrossRef |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: FBQ name: AGRIS url: http://www.fao.org/agris/Centre.asp?Menu_1ID=DB&Menu_2ID=DB1&Language=EN&Content=http://www.fao.org/agris/search?Language=EN sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Sciences (General) |
DocumentTitleAlternate | Prenatal diagnosis of aneuploidies |
EISSN | 1091-6490 |
EndPage | 7420 |
ExternalDocumentID | PMC4034209 3325647131 24799683 10_1073_pnas_1321997111 111_20_7415 23774190 US201600144311 |
Genre | Research Support, Non-U.S. Gov't Journal Article Feature |
GroupedDBID | --- -DZ -~X .55 .GJ 0R~ 123 29P 2AX 2FS 2WC 3O- 4.4 53G 5RE 5VS 692 6TJ 79B 85S AACGO AAFWJ AANCE AAYJJ ABBHK ABOCM ABPLY ABPPZ ABTLG ABXSQ ABZEH ACGOD ACHIC ACIWK ACKIV ACNCT ACPRK ADQXQ ADULT AENEX AEUPB AEXZC AFFNX AFHIN AFOSN AFQQW AFRAH ALMA_UNASSIGNED_HOLDINGS AQVQM AS~ BKOMP CS3 D0L DCCCD DIK DU5 E3Z EBS EJD F5P FBQ FRP GX1 H13 HGD HH5 HQ3 HTVGU HYE IPSME JAAYA JBMMH JENOY JHFFW JKQEH JLS JLXEF JPM JSG JST KQ8 L7B LU7 MVM N9A NEJ NHB N~3 O9- OK1 P-O PNE PQQKQ R.V RHI RNA RNS RPM RXW SA0 SJN TAE TN5 UKR VOH W8F WH7 WHG WOQ WOW X7M XSW Y6R YBH YKV YSK ZCA ZCG ~02 ~KM ADXHL - 02 0R 1AW 55 AAPBV ABFLS ABPTK ADACO ADZLD ASUFR DNJUQ DOOOF DWIUU DZ F20 JSODD KM PQEST RHF VQA X XHC ZA5 AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QG 7QL 7QP 7QR 7SN 7SS 7T5 7TK 7TM 7TO 7U9 8FD C1K FR3 H94 M7N P64 RC3 7X8 7S9 L.6 5PM |
ID | FETCH-LOGICAL-c623t-2419565e2bea04a9edb61556f7bb80bbd0968a585022aa65b5a1f5db28bccca33 |
ISSN | 0027-8424 1091-6490 |
IngestDate | Thu Aug 21 18:31:03 EDT 2025 Fri Jul 11 02:23:31 EDT 2025 Fri Jul 11 01:30:55 EDT 2025 Fri Jul 11 12:07:03 EDT 2025 Mon Jun 30 07:45:50 EDT 2025 Mon Jul 21 05:50:59 EDT 2025 Tue Jul 01 01:53:06 EDT 2025 Thu Apr 24 22:54:28 EDT 2025 Wed Nov 11 00:30:22 EST 2020 Thu May 29 08:40:52 EDT 2025 Thu Apr 03 09:45:35 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 20 |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c623t-2419565e2bea04a9edb61556f7bb80bbd0968a585022aa65b5a1f5db28bccca33 |
Notes | http://dx.doi.org/10.1073/pnas.1321997111 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 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. |
OpenAccessLink | https://www.pnas.org/content/pnas/111/20/7415.full.pdf |
PMID | 24799683 |
PQID | 1532769209 |
PQPubID | 42026 |
PageCount | 6 |
ParticipantIDs | fao_agris_US201600144311 pnas_primary_111_20_7415 pubmedcentral_primary_oai_pubmedcentral_nih_gov_4034209 crossref_primary_10_1073_pnas_1321997111 proquest_miscellaneous_1566839450 proquest_journals_1532769209 crossref_citationtrail_10_1073_pnas_1321997111 jstor_primary_23774190 proquest_miscellaneous_1527327025 pubmed_primary_24799683 proquest_miscellaneous_1803128028 |
ProviderPackageCode | RNA PNE CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2014-05-20 |
PublicationDateYYYYMMDD | 2014-05-20 |
PublicationDate_xml | – month: 05 year: 2014 text: 2014-05-20 day: 20 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: Washington |
PublicationTitle | Proceedings of the National Academy of Sciences - PNAS |
PublicationTitleAlternate | Proc Natl Acad Sci U S A |
PublicationYear | 2014 |
Publisher | National Academy of Sciences National Acad Sciences |
Publisher_xml | – name: National Academy of Sciences – name: National Acad Sciences |
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 |
SSID | ssj0009580 |
Score | 2.478173 |
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... |
SourceID | pubmedcentral proquest pubmed crossref pnas jstor fao |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 7415 |
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 |
URI | https://www.jstor.org/stable/23774190 http://www.pnas.org/content/111/20/7415.abstract https://www.ncbi.nlm.nih.gov/pubmed/24799683 https://www.proquest.com/docview/1532769209 https://www.proquest.com/docview/1527327025 https://www.proquest.com/docview/1566839450 https://www.proquest.com/docview/1803128028 https://pubmed.ncbi.nlm.nih.gov/PMC4034209 |
Volume | 111 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLa68cILYsBYYKAg8TBUZaSJnTiP07SpQlUZopXKC5GdC600kmltkODXc44vSTrGNHiJ2uTEsXKOz8X5_JmQt8iJlUcZ90ROmUfDPPE4K0uPSR7FvhDRSCiA7DQaz-mHBVsMBl97qKVmI4-zX7euK_kfrcI50Cuukv0HzbaNwgn4DfqFI2gYjvfS8RTnUn8IhUBHbkq1E0iuwXOaZwSe-l3hjYvm6rJeIWQQE841QuLrCrle6-uhgVPbIGZS1Ys2tK0tkGBqZw5PunUoxjmsh97wYtrtajxZCT0J21nfF0NXsPKWjehcsnY2p8um8kphuoAG1ai82p4xExMjit_UA7_vbAMIgFQvkW6drXGt2qqMuPadmNv04rD9-4ePB6eEGxNXYn0MpTQCZWyjW2za04_p-XwySWdni9kOeRBAGaGAn-M-KTPXS5RMRy31Uxy-v9H8VtayU4rawleRExdEb6tPbsJse3nL7DF5ZAoO90Rbzx4ZFNUTsme15h4Z3vF3T8mnnjm51pzc1pzcunS1Obl9c3LlT3fLnNzOnJ6R-fnZ7HTsmR03vAzS4I0H6RzUy6wIZCF8KpIil_jdOipjKbkvZQ4FLxdQYULmB-OYSSZGJctlwGUGriAM98luVVfFAXGjjPoSsn0_yyPKfcaLmJWQGbEyhhhCY4cc2zeaZoaOHndFuUwVLCIOU3yvaacChxy1N1xpJpa_ix6AilLxDeJkOv8cIIsizhyEeGlf6a1tIgihAIKsGO5RrbRNQ2Ec-ClaoUMOrXJTM_rhaSwM4igJ_MQhb9rL4JvxgxuooW5QBooDXPDJ7pKJIihSKPPvkOEQegMOpYBDnmub6vpP4wSUEjok3rK2VgD547evVKul4pGnSP_pJy_u0beX5GE3xA_J7ua6KV5BNr6Rr9WQ-g1x2t3h |
linkProvider | ABC ChemistRy |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Noninvasive+prenatal+diagnosis+of+common+aneuploidies+by+semiconductor+sequencing&rft.jtitle=Proceedings+of+the+National+Academy+of+Sciences+-+PNAS&rft.au=Liao%2C+Can&rft.au=Yin%2C+Ai-hua&rft.au=Peng%2C+Chun-fang&rft.au=Fu%2C+Fang&rft.date=2014-05-20&rft.issn=0027-8424&rft.volume=111&rft.issue=20&rft.spage=7415&rft.epage=7415&rft_id=info:doi/10.1073%2Fpnas.1321997111&rft.externalDBID=NO_FULL_TEXT |
thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.pnas.org%2Fcontent%2F111%2F20.cover.gif |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.pnas.org%2Fcontent%2F111%2F20.cover.gif |