Discrepancy of QF-PCR, CMA and karyotyping on a de novo case of mosaic isodicentric Y chromosomes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yuan Liu, Li Guo, Hanbiao Chen, Jian Lu, Jingjing Hu, Xianzheng Li, Xing Li, Ting Wang, Fengzhen Li, Aihua Yin

ABSTRACT

Background: Isodicentric chromosomes are the most frequent structural aberrations of human Y chromosome, and usually present in mosaicism with a 45, X cell line. Several cytogenetic techniques have been used for diagnosing of uncommon abnormal sex chromosome abnormalities in prenatal cases. Case presentation: A 26-year-old healthy woman was referred to our centre at 24 weeks of gestation age. Ultrasound examination indicated she was pregnant with imbalanced development of twins. Amniocentesis was referred to the patient for further genetic analyses. Quantitative Fluorescent Polymerase Chain Reaction (QF-PCR) indicated the existence of an extra Y chromosome or a structurally abnormal Y chromosome in primary amniotic cells. Chromosome microarray (CMA) analysis based on Comparative Genomic Hybridization (aCGH) platform was performed and identified a 10.1 Mb deletion on Y chromosome in 8-days cultured amniotic cells. Combined with the data of QF-PCR and aCGH, karyotyping and fluorescence in situ hybridization (FISH) revealed a mosaic cell line of 45,X[27]/46,X, idic(Y)(q11.22) [14] in fetus.The karyotyping analysis of cord blood sample was consistent with amniotic cells. The parental karyotypes were normal, which indicated this mosaic case of isodicentric Y (idicY) chromosomes of the fetus was a de novo case. Conclusion: Several approaches have been used for the detection of numerical and structural chromosomal alterations of on prenatal cases. Our report supported the essential role of incorporating multiple genetic techniques in prenatal diagnosing and genetic counseling of potential complex sex chromosomal rearrangements. More... »

PAGES

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13039-018-0413-1

DOI

http://dx.doi.org/10.1186/s13039-018-0413-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111311434

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30647775


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Yuan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Li", 
        "id": "sg:person.01106010206.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106010206.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Hanbiao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Jian", 
        "id": "sg:person.0771561606.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771561606.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Jingjing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Xianzheng", 
        "id": "sg:person.0762067576.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762067576.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Xing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Ting", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Fengzhen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Guangdong Province Women and Children Hospital", 
          "id": "https://www.grid.ac/institutes/grid.459579.3", 
          "name": [
            "Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China", 
            "Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yin", 
        "givenName": "Aihua", 
        "id": "sg:person.01010452730.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010452730.04"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1056/nejmoa1203382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000255744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajog.2014.10.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001671118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.3986", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011752858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/uog.14849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014596686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/cshperspect.a023119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021385869"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ajog.2016.07.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029549556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/jcm3020663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032917307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2013.12.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033290901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.1406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042232681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.1406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042232681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajmg.a.35487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042656744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.2945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043247168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2009.07.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045627602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pd.4209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046776937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10815-013-0119-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052334448", 
          "https://doi.org/10.1007/s10815-013-0119-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1755-8166-7-26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053295450", 
          "https://doi.org/10.1186/1755-8166-7-26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1755-8166-7-26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053295450", 
          "https://doi.org/10.1186/1755-8166-7-26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/mmr.2017.6981", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090729424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fertnstert.2018.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101003288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jfma.2018.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103880706"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Background: Isodicentric chromosomes are the most frequent structural aberrations of human Y chromosome, and usually present in mosaicism with a 45, X cell line. Several cytogenetic techniques have been used for diagnosing of uncommon abnormal sex chromosome abnormalities in prenatal cases.\nCase presentation: A 26-year-old healthy woman was referred to our centre at 24\u2009weeks of gestation age. Ultrasound examination indicated she was pregnant with imbalanced development of twins. Amniocentesis was referred to the patient for further genetic analyses. Quantitative Fluorescent Polymerase Chain Reaction (QF-PCR) indicated the existence of an extra Y chromosome or a structurally abnormal Y chromosome in primary amniotic cells. Chromosome microarray (CMA) analysis based on Comparative Genomic Hybridization (aCGH) platform was performed and identified a 10.1\u2009Mb deletion on Y chromosome in 8-days cultured amniotic cells. Combined with the data of QF-PCR and aCGH, karyotyping and fluorescence in situ hybridization (FISH) revealed a mosaic cell line of 45,X[27]/46,X, idic(Y)(q11.22) [14] in fetus.The karyotyping analysis of cord blood sample was consistent with amniotic cells. The parental karyotypes were normal, which indicated this mosaic case of isodicentric Y (idicY) chromosomes of the fetus was a de novo case.\nConclusion: Several approaches have been used for the detection of numerical and structural chromosomal alterations of on prenatal cases. Our report supported the essential role of incorporating multiple genetic techniques in prenatal diagnosing and genetic counseling of potential complex sex chromosomal rearrangements.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13039-018-0413-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039110", 
        "issn": [
          "1755-8166"
        ], 
        "name": "Molecular Cytogenetics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Discrepancy of QF-PCR, CMA and karyotyping on a de novo case of mosaic isodicentric Y chromosomes", 
    "pagination": "1", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8cd4c0099da74922ce2a69bef0ab8c964721190feee20cef7547e5ffdf2367ab"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30647775"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101317942"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13039-018-0413-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111311434"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13039-018-0413-1", 
      "https://app.dimensions.ai/details/publication/pub.1111311434"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89822_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13039-018-0413-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13039-018-0413-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13039-018-0413-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13039-018-0413-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13039-018-0413-1'


 

This table displays all metadata directly associated to this object as RDF triples.

182 TRIPLES      21 PREDICATES      47 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13039-018-0413-1 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nf7f9dbd92ac84afaa52c09d45757829f
4 schema:citation sg:pub.10.1007/s10815-013-0119-6
5 sg:pub.10.1186/1755-8166-7-26
6 https://doi.org/10.1002/ajmg.a.35487
7 https://doi.org/10.1002/pd.1406
8 https://doi.org/10.1002/pd.2945
9 https://doi.org/10.1002/pd.3986
10 https://doi.org/10.1002/pd.4209
11 https://doi.org/10.1002/uog.14849
12 https://doi.org/10.1016/j.ajog.2014.10.011
13 https://doi.org/10.1016/j.ajog.2016.07.016
14 https://doi.org/10.1016/j.cell.2009.07.042
15 https://doi.org/10.1016/j.fertnstert.2013.12.048
16 https://doi.org/10.1016/j.fertnstert.2018.01.005
17 https://doi.org/10.1016/j.jfma.2018.04.011
18 https://doi.org/10.1056/nejmoa1203382
19 https://doi.org/10.1101/cshperspect.a023119
20 https://doi.org/10.3390/jcm3020663
21 https://doi.org/10.3892/mmr.2017.6981
22 schema:datePublished 2019-12
23 schema:datePublishedReg 2019-12-01
24 schema:description Background: Isodicentric chromosomes are the most frequent structural aberrations of human Y chromosome, and usually present in mosaicism with a 45, X cell line. Several cytogenetic techniques have been used for diagnosing of uncommon abnormal sex chromosome abnormalities in prenatal cases. Case presentation: A 26-year-old healthy woman was referred to our centre at 24 weeks of gestation age. Ultrasound examination indicated she was pregnant with imbalanced development of twins. Amniocentesis was referred to the patient for further genetic analyses. Quantitative Fluorescent Polymerase Chain Reaction (QF-PCR) indicated the existence of an extra Y chromosome or a structurally abnormal Y chromosome in primary amniotic cells. Chromosome microarray (CMA) analysis based on Comparative Genomic Hybridization (aCGH) platform was performed and identified a 10.1 Mb deletion on Y chromosome in 8-days cultured amniotic cells. Combined with the data of QF-PCR and aCGH, karyotyping and fluorescence in situ hybridization (FISH) revealed a mosaic cell line of 45,X[27]/46,X, idic(Y)(q11.22) [14] in fetus.The karyotyping analysis of cord blood sample was consistent with amniotic cells. The parental karyotypes were normal, which indicated this mosaic case of isodicentric Y (idicY) chromosomes of the fetus was a de novo case. Conclusion: Several approaches have been used for the detection of numerical and structural chromosomal alterations of on prenatal cases. Our report supported the essential role of incorporating multiple genetic techniques in prenatal diagnosing and genetic counseling of potential complex sex chromosomal rearrangements.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf N325d3d84ea61483c93161e716f131745
29 N4114be2b719d4e26a33db23873db44e9
30 sg:journal.1039110
31 schema:name Discrepancy of QF-PCR, CMA and karyotyping on a de novo case of mosaic isodicentric Y chromosomes
32 schema:pagination 1
33 schema:productId N140527a4306748e9ae4fc327f707e4bd
34 Nb85b2786950142cb8d315734462c3a9e
35 Ne64e45ee373c4afa85dab0b76f677fe2
36 Neb95732bb716467c948f7ed5902a4d23
37 Nff3ae482954e430fa0fcd477dc9ae487
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111311434
39 https://doi.org/10.1186/s13039-018-0413-1
40 schema:sdDatePublished 2019-04-11T10:02
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher N16ba54d1057342c4a5d56e2cc95ce7d5
43 schema:url https://link.springer.com/10.1186%2Fs13039-018-0413-1
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N140527a4306748e9ae4fc327f707e4bd schema:name readcube_id
48 schema:value 8cd4c0099da74922ce2a69bef0ab8c964721190feee20cef7547e5ffdf2367ab
49 rdf:type schema:PropertyValue
50 N16ba54d1057342c4a5d56e2cc95ce7d5 schema:name Springer Nature - SN SciGraph project
51 rdf:type schema:Organization
52 N186af114bb1e4b388eb8fb7fdea136d3 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
53 schema:familyName Hu
54 schema:givenName Jingjing
55 rdf:type schema:Person
56 N1b8d291e12eb4b26b9bece5fef57d7c6 rdf:first Nb7beb5c05ea34722b625d79a191b9e21
57 rdf:rest N49a0b1d546a34f3ab58acf9df04d1090
58 N2b1e3d4c2a4f4bceaaaa3061d43f4f93 rdf:first sg:person.01010452730.04
59 rdf:rest rdf:nil
60 N2e270616932a440289f30ca388f550d5 rdf:first N64912a0405f4454697ab1383c29bdf0b
61 rdf:rest Nfbd3f44835ff402a9689373f0bd56e6b
62 N325d3d84ea61483c93161e716f131745 schema:volumeNumber 12
63 rdf:type schema:PublicationVolume
64 N376cf3db793247438aebda288b293a91 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
65 schema:familyName Liu
66 schema:givenName Yuan
67 rdf:type schema:Person
68 N4114be2b719d4e26a33db23873db44e9 schema:issueNumber 1
69 rdf:type schema:PublicationIssue
70 N49a0b1d546a34f3ab58acf9df04d1090 rdf:first N92250e6b828c466f8a44a23ea3d0e0f7
71 rdf:rest N891f417d5f7c4d73a3f95fe37a6e6198
72 N64912a0405f4454697ab1383c29bdf0b schema:affiliation https://www.grid.ac/institutes/grid.459579.3
73 schema:familyName Chen
74 schema:givenName Hanbiao
75 rdf:type schema:Person
76 N814842bb029d45139f18d9082c645231 rdf:first sg:person.0762067576.95
77 rdf:rest N1b8d291e12eb4b26b9bece5fef57d7c6
78 N891f417d5f7c4d73a3f95fe37a6e6198 rdf:first Nd1250020800241009b548bf6c3cde8d3
79 rdf:rest N2b1e3d4c2a4f4bceaaaa3061d43f4f93
80 N92250e6b828c466f8a44a23ea3d0e0f7 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
81 schema:familyName Wang
82 schema:givenName Ting
83 rdf:type schema:Person
84 N950aac940e7241b28fdb5ee6f78d522f rdf:first N186af114bb1e4b388eb8fb7fdea136d3
85 rdf:rest N814842bb029d45139f18d9082c645231
86 Nb7beb5c05ea34722b625d79a191b9e21 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
87 schema:familyName Li
88 schema:givenName Xing
89 rdf:type schema:Person
90 Nb85b2786950142cb8d315734462c3a9e schema:name dimensions_id
91 schema:value pub.1111311434
92 rdf:type schema:PropertyValue
93 Nd1250020800241009b548bf6c3cde8d3 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
94 schema:familyName Li
95 schema:givenName Fengzhen
96 rdf:type schema:Person
97 Nd7019a4a4f244690ab5f9f8542f38440 rdf:first sg:person.01106010206.46
98 rdf:rest N2e270616932a440289f30ca388f550d5
99 Ne64e45ee373c4afa85dab0b76f677fe2 schema:name nlm_unique_id
100 schema:value 101317942
101 rdf:type schema:PropertyValue
102 Neb95732bb716467c948f7ed5902a4d23 schema:name pubmed_id
103 schema:value 30647775
104 rdf:type schema:PropertyValue
105 Nf7f9dbd92ac84afaa52c09d45757829f rdf:first N376cf3db793247438aebda288b293a91
106 rdf:rest Nd7019a4a4f244690ab5f9f8542f38440
107 Nfbd3f44835ff402a9689373f0bd56e6b rdf:first sg:person.0771561606.02
108 rdf:rest N950aac940e7241b28fdb5ee6f78d522f
109 Nff3ae482954e430fa0fcd477dc9ae487 schema:name doi
110 schema:value 10.1186/s13039-018-0413-1
111 rdf:type schema:PropertyValue
112 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
113 schema:name Biological Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
116 schema:name Genetics
117 rdf:type schema:DefinedTerm
118 sg:journal.1039110 schema:issn 1755-8166
119 schema:name Molecular Cytogenetics
120 rdf:type schema:Periodical
121 sg:person.01010452730.04 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
122 schema:familyName Yin
123 schema:givenName Aihua
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010452730.04
125 rdf:type schema:Person
126 sg:person.01106010206.46 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
127 schema:familyName Guo
128 schema:givenName Li
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106010206.46
130 rdf:type schema:Person
131 sg:person.0762067576.95 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
132 schema:familyName Li
133 schema:givenName Xianzheng
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762067576.95
135 rdf:type schema:Person
136 sg:person.0771561606.02 schema:affiliation https://www.grid.ac/institutes/grid.459579.3
137 schema:familyName Lu
138 schema:givenName Jian
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771561606.02
140 rdf:type schema:Person
141 sg:pub.10.1007/s10815-013-0119-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052334448
142 https://doi.org/10.1007/s10815-013-0119-6
143 rdf:type schema:CreativeWork
144 sg:pub.10.1186/1755-8166-7-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053295450
145 https://doi.org/10.1186/1755-8166-7-26
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1002/ajmg.a.35487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042656744
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1002/pd.1406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042232681
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1002/pd.2945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043247168
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1002/pd.3986 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011752858
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1002/pd.4209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046776937
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/uog.14849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014596686
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.ajog.2014.10.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001671118
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.ajog.2016.07.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029549556
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.cell.2009.07.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045627602
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.fertnstert.2013.12.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033290901
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.fertnstert.2018.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101003288
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.jfma.2018.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103880706
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1056/nejmoa1203382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000255744
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1101/cshperspect.a023119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021385869
174 rdf:type schema:CreativeWork
175 https://doi.org/10.3390/jcm3020663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032917307
176 rdf:type schema:CreativeWork
177 https://doi.org/10.3892/mmr.2017.6981 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090729424
178 rdf:type schema:CreativeWork
179 https://www.grid.ac/institutes/grid.459579.3 schema:alternateName Guangdong Province Women and Children Hospital
180 schema:name Maternal and Children Metabolic-Genetic Key Laboratory, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China
181 Prenatal Diagnosis Centre, Guangdong Women and Children Hospital, 511400, Guangzhou, Guangdong, China
182 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...