Clinical application of next generation sequencing-based haplotype linkage analysis in the preimplantation genetic testing for germline mosaicisms

Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limi...

Full description

Saved in:
Bibliographic Details
Published inOrphanet journal of rare diseases Vol. 18; no. 1; pp. 137 - 10
Main Authors Chen, Dongjia, Xu, Yan, Fu, Yu, Wang, Yali, Liu, Yuliang, Ding, Chenhui, Cai, Bing, Pan, Jiafu, Wang, Jing, Li, Rong, Guo, Jing, Zhang, Han, Zeng, Yanhong, Shen, Xiaoting, Zhou, Canquan
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 03.06.2023
BioMed Central
BMC
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism. PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss. All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families. NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
AbstractList Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism. PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss. All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families. NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism.BACKGROUNDPreimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism.PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss.METHODSPGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss.All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families.RESULTSAll nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families.NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.CONCLUSIONSNGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
Background Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism. Methods PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss. Results All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families. Conclusions NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings. Keywords: Germline mosaicism, Next generation sequencing, Single nucleotide polymorphism, Preimplantation genetic testing, Haplotype linkage analysis
BackgroundPreimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism.MethodsPGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45–50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss.ResultsAll nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families.ConclusionsNGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism. PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss. All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families. NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
Abstract Background Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism. Methods PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45–50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss. Results All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families. Conclusions NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
ArticleNumber 137
Audience Academic
Author Li, Rong
Shen, Xiaoting
Fu, Yu
Zhang, Han
Chen, Dongjia
Liu, Yuliang
Wang, Jing
Zhou, Canquan
Xu, Yan
Pan, Jiafu
Wang, Yali
Ding, Chenhui
Cai, Bing
Guo, Jing
Zeng, Yanhong
Author_xml – sequence: 1
  givenname: Dongjia
  surname: Chen
  fullname: Chen, Dongjia
– sequence: 2
  givenname: Yan
  surname: Xu
  fullname: Xu, Yan
– sequence: 3
  givenname: Yu
  surname: Fu
  fullname: Fu, Yu
– sequence: 4
  givenname: Yali
  surname: Wang
  fullname: Wang, Yali
– sequence: 5
  givenname: Yuliang
  surname: Liu
  fullname: Liu, Yuliang
– sequence: 6
  givenname: Chenhui
  surname: Ding
  fullname: Ding, Chenhui
– sequence: 7
  givenname: Bing
  surname: Cai
  fullname: Cai, Bing
– sequence: 8
  givenname: Jiafu
  surname: Pan
  fullname: Pan, Jiafu
– sequence: 9
  givenname: Jing
  surname: Wang
  fullname: Wang, Jing
– sequence: 10
  givenname: Rong
  surname: Li
  fullname: Li, Rong
– sequence: 11
  givenname: Jing
  surname: Guo
  fullname: Guo, Jing
– sequence: 12
  givenname: Han
  surname: Zhang
  fullname: Zhang, Han
– sequence: 13
  givenname: Yanhong
  surname: Zeng
  fullname: Zeng, Yanhong
– sequence: 14
  givenname: Xiaoting
  orcidid: 0000-0001-9684-7852
  surname: Shen
  fullname: Shen, Xiaoting
– sequence: 15
  givenname: Canquan
  surname: Zhou
  fullname: Zhou, Canquan
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37270548$$D View this record in MEDLINE/PubMed
BookMark eNp9kstu1DAYhSNURC_wAiyQJTawSIntOHZWqBpxGakSEpe15Xh-ZzwkdrA9Fe1j8MR4JqV0KoQiK9af75w4J-e0OHLeQVE8x9U5xqJ5EzGtCC3nxWlT3jwqTjBnVYkxJ0f39sfFaYybqqoZrcST4phywitWi5Pi12Kwzmo1IDVNQ94k6x3yBjn4mVAPDsI8ivBjC05b15edirBCazUNPl1PgLLDd9UDUk4N19FGZB1Ka0BTADtOg3Jptti5JatRgpiyDzI-5FkYsx7Q6KOy2sYxPi0eGzVEeHZ7Pyu-vX_3dfGxvPz0Ybm4uCw1a0UqKWlbRUTTGUy7pgUMpOVVzWu8oqDqtusEVGB40_C26ghvFDFAwTTGYBANpWfFcvZdebWRU7CjCtfSKyv3Ax96qUI-7wCSsrpuhRGGKlYzBYKwFdaGGEPrjpGd19vZa9p2I6w0uBTUcGB6-MTZtez9lcT577VM1Nnh1a1D8DnpmORoo4Yhxwd-GyURhNBGYLpDXz5AN34bcvh7imNMadv8pXqVv8A64_OL9c5UXnCGm5bhPXX-DypfKxitzn0zNs8PBK8PBJlJuSq92sYol18-H7Iv7qdyF8ef-mWAzIAOPsYA5g7Bldx1XM4dl_PKHZc3WSQeiLSdG5aPbof_SX8Dnb8CMA
CitedBy_id crossref_primary_10_7759_cureus_57357
crossref_primary_10_1186_s13048_023_01252_9
Cites_doi 10.1007/s10815-020-01753-2
10.1038/jhg.2013.119
10.1016/S0140-6736(05)78872-3
10.1002/pd.4874
10.1038/s41436-018-0351-7
10.1016/S1474-4422(18)30024-3
10.1097/GIM.0b013e31803068c7
10.1007/s10815-018-1158-9
10.1080/19396368.2019.1590479
10.1016/j.rbmo.2012.07.003
10.1016/j.jgg.2016.03.011
10.1016/j.ajhg.2014.07.003
10.1146/annurev-genom-090413-025352
10.1016/j.tig.2015.03.013
10.1016/j.ajhg.2014.08.010
10.1113/EP085308
10.1002/mgg3.1662
10.1136/jmg.26.9.553
10.1038/ng.3469
10.1080/19396368.2017.1296501
10.1016/S0165-6147(00)01770-3
10.1007/s10815-020-01732-7
10.1111/cge.13770
10.1016/j.fertnstert.2018.05.002
10.1080/19396368.2018.1472315
10.1126/science.281.5384.1787
10.1007/s00438-015-1130-7
10.1002/pd.4982
10.1016/S1474-4422(15)00069-1
10.1002/pd.1668
ContentType Journal Article
Copyright 2023. The Author(s).
COPYRIGHT 2023 BioMed Central Ltd.
2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
The Author(s) 2023
Copyright_xml – notice: 2023. The Author(s).
– notice: COPYRIGHT 2023 BioMed Central Ltd.
– notice: 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: The Author(s) 2023
DBID AAYXX
CITATION
NPM
ISR
3V.
7T5
7X7
7XB
88E
8FI
8FJ
8FK
ABUWG
AFKRA
AN0
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
H94
K9.
M0S
M1P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
7X8
5PM
DOA
DOI 10.1186/s13023-023-02736-z
DatabaseName CrossRef
PubMed
Gale In Context: Science
ProQuest Central (Corporate)
Immunology Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
British Nursing Database
ProQuest Central Essentials
ProQuest Central
ProQuest One
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
ProQuest Health & Medical Collection
Medical Database
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Central
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Health & Medical Research Collection
AIDS and Cancer Research Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest One Academic Eastern Edition
British Nursing Index with Full Text
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
Immunology Abstracts
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
MEDLINE - Academic

Publicly Available Content Database

PubMed

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  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: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1750-1172
EndPage 10
ExternalDocumentID oai_doaj_org_article_354498f8f3a545ae825d1cf2ff34b523
PMC10239584
A751695196
37270548
10_1186_s13023_023_02736_z
Genre Journal Article
GeographicLocations China
GeographicLocations_xml – name: China
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 32000589
– fundername: National Key R&D Program of China
  grantid: 2016YFC1000205
– fundername: Basic and Applied Basic Research Foundation of Guangdong Province
  grantid: 2021A1515010377
– fundername: Medical Science and Technology Foundation of Guangdong Province
  grantid: 2019112145927676
– fundername: Guangdong Provincial Key Laboratory of Reproductive Medicine
  grantid: 2012A061400003
– fundername: ;
  grantid: 32000589
– fundername: ;
  grantid: 2021A1515010377
– fundername: ;
  grantid: 2016YFC1000205
– fundername: ;
  grantid: 2012A061400003
– fundername: ;
  grantid: 2019112145927676
GroupedDBID ---
0R~
123
29N
2WC
53G
5VS
7X7
88E
8FI
8FJ
AAFWJ
AAJSJ
AASML
AAWTL
AAYXX
ABDBF
ABUWG
ACGFO
ACGFS
ACIHN
ACPRK
ACUHS
ADBBV
ADRAZ
ADUKV
AEAQA
AENEX
AFKRA
AFPKN
AHBYD
AHMBA
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AN0
AOIJS
BAPOH
BAWUL
BCNDV
BENPR
BFQNJ
BMC
BNQBC
BPHCQ
BVXVI
C6C
CCPQU
CITATION
CS3
DIK
DU5
E3Z
EBD
EBLON
EBS
EMOBN
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
HMCUK
HYE
IAO
IHR
INH
INR
ISR
ITC
KQ8
M1P
M48
MK0
M~E
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RBZ
RNS
ROL
RPM
RSV
SMD
SOJ
SV3
TR2
TUS
UKHRP
WOQ
WOW
~8M
NPM
PMFND
3V.
7T5
7XB
8FK
AZQEC
DWQXO
H94
K9.
PJZUB
PKEHL
PPXIY
PQEST
PQUKI
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c598t-3299a286bf13b69e1e29704741d3ea49bb8e0ef766790b276a2fe3ef6ff1e8633
IEDL.DBID M48
ISSN 1750-1172
IngestDate Wed Aug 27 01:20:54 EDT 2025
Thu Aug 21 18:38:25 EDT 2025
Fri Jul 11 02:05:04 EDT 2025
Sat Aug 23 12:47:22 EDT 2025
Tue Jun 17 21:44:35 EDT 2025
Tue Jun 10 20:39:08 EDT 2025
Fri Jun 27 06:06:10 EDT 2025
Thu Apr 03 07:08:26 EDT 2025
Tue Jul 01 02:23:32 EDT 2025
Thu Apr 24 23:11:00 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Germline mosaicism
Preimplantation genetic testing
Haplotype linkage analysis
Single nucleotide polymorphism
Next generation sequencing
Language English
License 2023. The Author(s).
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c598t-3299a286bf13b69e1e29704741d3ea49bb8e0ef766790b276a2fe3ef6ff1e8633
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0001-9684-7852
OpenAccessLink https://www.proquest.com/docview/2827113396?pq-origsite=%requestingapplication%
PMID 37270548
PQID 2827113396
PQPubID 76088
PageCount 10
ParticipantIDs doaj_primary_oai_doaj_org_article_354498f8f3a545ae825d1cf2ff34b523
pubmedcentral_primary_oai_pubmedcentral_nih_gov_10239584
proquest_miscellaneous_2822368134
proquest_journals_2827113396
gale_infotracmisc_A751695196
gale_infotracacademiconefile_A751695196
gale_incontextgauss_ISR_A751695196
pubmed_primary_37270548
crossref_primary_10_1186_s13023_023_02736_z
crossref_citationtrail_10_1186_s13023_023_02736_z
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-06-03
PublicationDateYYYYMMDD 2023-06-03
PublicationDate_xml – month: 06
  year: 2023
  text: 2023-06-03
  day: 03
PublicationDecade 2020
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle Orphanet journal of rare diseases
PublicationTitleAlternate Orphanet J Rare Dis
PublicationYear 2023
Publisher BioMed Central Ltd
BioMed Central
BMC
Publisher_xml – name: BioMed Central Ltd
– name: BioMed Central
– name: BMC
References IM Campbell (2736_CR1) 2015; 31
IM Campbell (2736_CR5) 2014; 95
IM Campbell (2736_CR3) 2014; 95
M Gajecka (2736_CR25) 2016; 291
V Viart (2736_CR26) 2017; 37
L Huang (2736_CR29) 2015; 16
X Hu (2736_CR30) 2021; 9
P Curatolo (2736_CR11) 2015; 14
KS Au (2736_CR12) 2007; 9
T Lee (2736_CR9) 2014; 59
D Chen (2736_CR21) 2020; 37
Y Wang (2736_CR28) 2020; 37
G Altarescu (2736_CR14) 2012; 25
H Wu (2736_CR27) 2018; 35
Y Ren (2736_CR22) 2016; 43
Y Wang (2736_CR20) 2020; 98
E Pennisi (2736_CR19) 1998; 281
DJ Birnkrant (2736_CR8) 2018; 17
E Bakker (2736_CR4) 1989; 26
P Renbaum (2736_CR24) 2007; 27
R Rahbari (2736_CR2) 2016; 48
FJ O'Callaghan (2736_CR10) 1998; 351
B Patel (2736_CR15) 2018; 110
L Chen (2736_CR16) 2017; 63
L Chen (2736_CR23) 2019; 65
EP Hoffman (2736_CR6) 2001; 22
RP Naja (2736_CR13) 2016; 36
D Backenroth (2736_CR18) 2019; 21
S Guiraud (2736_CR7) 2015; 100
X Ji (2736_CR17) 2019; 65
References_xml – volume: 37
  start-page: 1239
  issue: 5
  year: 2020
  ident: 2736_CR28
  publication-title: J Assist Reprod Genet
  doi: 10.1007/s10815-020-01753-2
– volume: 59
  start-page: 46
  issue: 1
  year: 2014
  ident: 2736_CR9
  publication-title: J Hum Genet
  doi: 10.1038/jhg.2013.119
– volume: 351
  start-page: 1490
  issue: 9114
  year: 1998
  ident: 2736_CR10
  publication-title: Lancet
  doi: 10.1016/S0140-6736(05)78872-3
– volume: 36
  start-page: 864
  issue: 9
  year: 2016
  ident: 2736_CR13
  publication-title: Prenat Diagn
  doi: 10.1002/pd.4874
– volume: 21
  start-page: 1390
  issue: 6
  year: 2019
  ident: 2736_CR18
  publication-title: Genet Med
  doi: 10.1038/s41436-018-0351-7
– volume: 17
  start-page: 251
  issue: 3
  year: 2018
  ident: 2736_CR8
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(18)30024-3
– volume: 9
  start-page: 88
  issue: 2
  year: 2007
  ident: 2736_CR12
  publication-title: Genet Med
  doi: 10.1097/GIM.0b013e31803068c7
– volume: 35
  start-page: 1071
  issue: 6
  year: 2018
  ident: 2736_CR27
  publication-title: J Assist Reprod Genet
  doi: 10.1007/s10815-018-1158-9
– volume: 65
  start-page: 258
  issue: 3
  year: 2019
  ident: 2736_CR17
  publication-title: Syst Biol Reprod Med
  doi: 10.1080/19396368.2019.1590479
– volume: 25
  start-page: 390
  issue: 4
  year: 2012
  ident: 2736_CR14
  publication-title: Reprod Biomed Online
  doi: 10.1016/j.rbmo.2012.07.003
– volume: 43
  start-page: 541
  issue: 9
  year: 2016
  ident: 2736_CR22
  publication-title: J Genet Genomics
  doi: 10.1016/j.jgg.2016.03.011
– volume: 95
  start-page: 173
  issue: 2
  year: 2014
  ident: 2736_CR3
  publication-title: Am J Hum Genet
  doi: 10.1016/j.ajhg.2014.07.003
– volume: 16
  start-page: 79
  year: 2015
  ident: 2736_CR29
  publication-title: Annu Rev Genomics Hum Genet
  doi: 10.1146/annurev-genom-090413-025352
– volume: 31
  start-page: 382
  issue: 7
  year: 2015
  ident: 2736_CR1
  publication-title: Trends Genet
  doi: 10.1016/j.tig.2015.03.013
– volume: 95
  start-page: 345
  issue: 4
  year: 2014
  ident: 2736_CR5
  publication-title: Am J Hum Genet
  doi: 10.1016/j.ajhg.2014.08.010
– volume: 100
  start-page: 1458
  issue: 12
  year: 2015
  ident: 2736_CR7
  publication-title: Exp Physiol
  doi: 10.1113/EP085308
– volume: 9
  start-page: e1662
  issue: 5
  year: 2021
  ident: 2736_CR30
  publication-title: Mol Genet Genomic Med
  doi: 10.1002/mgg3.1662
– volume: 26
  start-page: 553
  issue: 9
  year: 1989
  ident: 2736_CR4
  publication-title: J Med Genet
  doi: 10.1136/jmg.26.9.553
– volume: 48
  start-page: 126
  issue: 2
  year: 2016
  ident: 2736_CR2
  publication-title: Nat Genet
  doi: 10.1038/ng.3469
– volume: 63
  start-page: 212
  issue: 3
  year: 2017
  ident: 2736_CR16
  publication-title: Syst Biol Reprod Med
  doi: 10.1080/19396368.2017.1296501
– volume: 22
  start-page: 465
  issue: 9
  year: 2001
  ident: 2736_CR6
  publication-title: Trends Pharmacol Sci
  doi: 10.1016/S0165-6147(00)01770-3
– volume: 37
  start-page: 549
  issue: 3
  year: 2020
  ident: 2736_CR21
  publication-title: J Assist Reprod Genet
  doi: 10.1007/s10815-020-01732-7
– volume: 98
  start-page: 138
  issue: 2
  year: 2020
  ident: 2736_CR20
  publication-title: Clin Genet
  doi: 10.1111/cge.13770
– volume: 110
  start-page: 732
  issue: 4
  year: 2018
  ident: 2736_CR15
  publication-title: Fertil Steril
  doi: 10.1016/j.fertnstert.2018.05.002
– volume: 65
  start-page: 75
  issue: 1
  year: 2019
  ident: 2736_CR23
  publication-title: Syst Biol Reprod Med
  doi: 10.1080/19396368.2018.1472315
– volume: 281
  start-page: 1787
  issue: 5384
  year: 1998
  ident: 2736_CR19
  publication-title: Science
  doi: 10.1126/science.281.5384.1787
– volume: 291
  start-page: 513
  issue: 2
  year: 2016
  ident: 2736_CR25
  publication-title: Mol Genet Genomics
  doi: 10.1007/s00438-015-1130-7
– volume: 37
  start-page: 201
  issue: 2
  year: 2017
  ident: 2736_CR26
  publication-title: Prenat Diagn
  doi: 10.1002/pd.4982
– volume: 14
  start-page: 733
  issue: 7
  year: 2015
  ident: 2736_CR11
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(15)00069-1
– volume: 27
  start-page: 317
  issue: 4
  year: 2007
  ident: 2736_CR24
  publication-title: Prenat Diagn
  doi: 10.1002/pd.1668
SSID ssj0045308
Score 2.3951747
Snippet Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction...
Background Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain...
BackgroundPreimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain...
Abstract Background Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase...
SourceID doaj
pubmedcentral
proquest
gale
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 137
SubjectTerms Accuracy
Amniocentesis
Aneuploidy
Biopsy
Blastocysts
Blastocytes
Chromosomes
DNA probes
Duchenne's muscular dystrophy
Embryo transfer
Embryos
Fetuses
Gene deletion
Genetic analysis
Genetic counseling
Genetic disorders
Genetic screening
Genetic testing
Genomes
Germline mosaicism
Haplotype linkage analysis
Haplotypes
Linkage analysis
Medical research
Mosaicism
Mutation
Next generation sequencing
Polymerase chain reaction
Pregnancy
Preimplantation genetic testing
Prenatal diagnosis
Rare diseases
Short tandem repeats
Single nucleotide polymorphism
Trophectoderm
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELbQHhAXxJvCLjIIiQOKNn7EcY4LYrUgLQdgpb1Zjmt3K7VO1bSX_Rn84p1x3KoRElw49GJPKmc8z8z4MyHveeW5Ds4VVWV9AR4aVGrKQ1Ex5yQLpeXphNzld3VxJb9dV9cHV31hT9gADzww7lRUUjY66CAsOHvrIaOZMhd4CEK2kEWh9QWft0umBhssK1Hq3REZrU57LM9hvTLVLIUqbkduKKH1_2mTD5zSuGHywAOdPyIPc-hIz4YlPyb3fHxC7l_m4vhT8jtjfC7oQVWadoFGMMB0lvCl01BunwanVaATm9Ibu1p0-DGWYj0XLAy1GauEziOFEJGu1n6-XC3scFAppn-DZdANgnTEGYXQF8bWSwxa6bLrLaypX_bPyNX5l1-fL4p85ULhqkZvCgFbY7lWbWCiVY1nnjd1KSHsmApvZdO22pc-1ErVTdnyWlkevPBBhcC8VkI8J0exi_4locpzxGprOaq8ssLWVoayVk6C_VVOTwjb7YBxGY8cr8VYmJSXaGWGXTPDD9vPbifk4_6Z1YDG8VfqT7ixe0pE0k4DIF8my5f5l3xNyDsUC4NYGRGbcWZ22_fm688f5qzGIiOEwGpCPmSi0ME7OJvPNgAnEF5rRHk8ogRlduPpnfSZbEx6A1lxzZgQOP12P41PYoNc9N020XChNBNyQl4Mwrp_bwExKkTmwHE9EuMRY8YzcX6ToMYR2KOBGPXV_2Dla_KAJxVURSmOydFmvfUnENJt2jdJe-8A9A9J9w
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3Ni9QwFA-6gngRv62uEkXwIGXbJE3Tk6zisgrrQV2YW0gzyezATFunM5f9M_yLfS_N1CnCHnpJXkual_eV9_ILIe9Y4Zjy1qZFYVwKFhpEas58WuTWitxnhoUTchff5fml-DYrZnHDrY9llXudGBT1vLW4R34CoUGZQ0BVyY_d7xRvjcLsarxC4za5g9BlWNJVzsaASxQ8U_uDMkqe9Jikw6xlyFxymV5PjFHA7P9fMx-YpmnZ5IEdOntA7kcHkp4OHH9IbrnmEbl7EVPkj8mfiPS5oge5adp62oAapouAMh2aYhE1mK4UTdmcXplu1eKWLMWsLugZaiJiCV02FBxF2m3cct2tzHBcqQlfg2HQLUJ1NAsKDjC0bdboutJ12xsYU7_un5DLsy-_Pp-n8eKF1BaV2qYcGGSYkrXPeS0rlztWlZkA52POnRFVXSuXOV9KWVZZzUppmHfceel97pTk_Ck5atrGPSdUOoaIbTVDwZeGm9IIn5XSCtDC0qqE5HsOaBtRyfFyjJUO0YmSeuCaHh4sQrtOyIfxnW7A5LiR-hMydqREPO3Q0G4WOoqn5oUQlfLKcwMupXEQN89z65n3XNQQqyfkLS4LjYgZDZbkLMyu7_XXnz_0aYmpRnCEZULeRyLfwj9YE084wEwgyNaE8nhCCSJtp9371aejSun1PwFIyJuxG9_EMrnGtbtAw7hUORcJeTYs1vG_OXiq4J_DjKvJMp5MzLSnWV4FwHGE9wDpEi9uHtdLco8F4ZJpxo_J0Xazc6_AZdvWr4Nc_gURkkGw
  priority: 102
  providerName: ProQuest
Title Clinical application of next generation sequencing-based haplotype linkage analysis in the preimplantation genetic testing for germline mosaicisms
URI https://www.ncbi.nlm.nih.gov/pubmed/37270548
https://www.proquest.com/docview/2827113396
https://www.proquest.com/docview/2822368134
https://pubmed.ncbi.nlm.nih.gov/PMC10239584
https://doaj.org/article/354498f8f3a545ae825d1cf2ff34b523
Volume 18
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1ba9swFBa9wNjL2L1pu6CNwR6GN1uSZflhjHS0dIGU0S6QNyM7UhpI7CxOYOvP2C_eObISYlbGHoxBOjaWdC6ffKRPhLxlsWHKFkUQx9oEEKHBpMbMBnFUFCKyoWZuh9zgSl4ORX8Uj_bI5rgj34H1vVM7PE9quJx9-Pnj12cw-E_O4JX8WGPyDbORLiPJZXC3Tw4hMiVoqAOxzSqImLsT6iBihkEEkXuziebed7QClePz_9tr74St9pLKnRh18Zg88uCS9hpteEL2TPmUPBj49Pkz8tuzgM7oTt6aVpaW4KLpxDFQuyK_wBrCWoBhbkxv9WJW4e9aihlf8EFUezYTOi0pgEi6WJrpfDHTzVam0r0NPoOukMajnFAAx1C2nCOspfOq1vBN9bx-ToYX59-_XAb-UIagiFO1CjgMnmZK5jbiuUxNZFiahAKAyZgbLdI8VyY0NpEyScOcJVIza7ix0trIKMn5C3JQVqU5IlQahmxuOUOnIDXXiRY2TGQhwEPLQnVItBmBrPCM5XhwxixzMxcls2bUsubCBWp3HfJ--8yi4ev4p_QZDuxWErm2XUG1nGTedDMeC5EqqyzXADe1gTn1OCoss5aLHObxHfIG1SJDNo0Sl-tM9Lqus68311kvwTQkgGTZIe-8kK2gDYX2ux-gJ5CAqyV52pIEcy_a1RvtyzbWksG8OYkizrH69bYan8QldKWp1k6GcakiLjrkZaOs23ZzQLGA3aHHVUuNWx3Trimnt46MHKk_UkCxx__dwBPykDk7k0HIT8nBark2rwDZrfIu2U9GSZcc9nr9mz7cz86vvl133X-SrjPlP5ZeUBQ
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1fb9MwELemTgJeEP8pDDAIxAOKltiO4zwgtMGmlq0VGpu0t8xJ7a5Sm5SmFWIfgw_CZ-TOSUojpL3toS_2JXX853d3vvPPhLxloWHKZpkXhtp4oKFhSY2Y9cIgy0Rgfc3cCbnBUPbOxNfz8HyL_GnOwmBaZYOJDqhHRYZ75LvgGkQBOFSx_DT_4eGtURhdba7QqKbFkfn1E1y28mP_C4zvO8YOD04_97z6VgEvC2O19Dj8u2ZKpjbgqYxNYFgc-QI064gbLeI0VcY3NpIyiv2URVIza7ix0trAKIkboAD524KDK9Mh2_sHw28nDfaLkPuqOZqj5G6JYUGMk7pYKZfeVUv9uVsC_tcFG8qwnai5ofkO75G7tclK96o5dp9smfwBuTWog_IPye-aW3RKN6LhtLA0B-CnY8dr7YrqtG1Qlh4qzxG91PNpgZvAFOPIgGxU1xwpdJJTME3pfGEms_lUVwekcvc2aAZdIjlIPqZgckPZYobGMp0VpYY2lbPyETm7kUF5TDp5kZunhErDkCMuZQg1UnMdaWH9SGYCcF9mqkuCZgSSrOZBx-s4ponzh5RMqlFLqh-mvV11yYf1M_OKBeRa6X0c2LUkMni7gmIxTmpASHgoRKysslyDEasNeOqjILPMWi7SkPEueYPTIkGOjhyTgMZ6VZZJ__tJshdhcBNMb9kl72shW8A3ZLo-UwE9gbReLcmdliSASNaubmZfUoNYmfxbcl3yel2NT2JiXm6KlZNhXKqAiy55Uk3W9XdzsI3BI4AeV61p3OqYdk0-uXQU50goEoNt_Oz6dr0it3ung-PkuD88ek7uMLfQpOfzHdJZLlbmBRiMy_RlvUopubhpYPgLCoR_oQ
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=Clinical+application+of+next+generation+sequencing-based+haplotype+linkage+analysis+in+the+preimplantation+genetic+testing+for+germline+mosaicisms&rft.jtitle=Orphanet+journal+of+rare+diseases&rft.au=Chen%2C+Dongjia&rft.au=Xu%2C+Yan&rft.au=Fu%2C+Yu&rft.au=Wang%2C+Yali&rft.date=2023-06-03&rft.pub=BioMed+Central+Ltd&rft.issn=1750-1172&rft.eissn=1750-1172&rft.volume=18&rft.issue=1&rft_id=info:doi/10.1186%2Fs13023-023-02736-z&rft.externalDocID=A751695196
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1750-1172&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1750-1172&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1750-1172&client=summon