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Ou J, Wang J, Sun J, Ni M, Meng Q, Ding J, Fan H, Feng S, Huang Y, Li H, Fei J. Analysis of Preimplantation and Clinical Outcomes of Two Cases by Oxford Nanopore Sequencing. Reprod Sci 2024; 31:2123-2134. [PMID: 38347380 DOI: 10.1007/s43032-024-01470-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/19/2024] [Indexed: 07/03/2024]
Abstract
It is challenging to distinguish embryos with a balanced translocation karyotype from a normal karyotype by existing conventional genetic testing methods. However, in germ-cell gamete generation, chromosome exchange and separation through cell meiosis form a different proportion of unbalanced gametes. Adverse birth events may occur, such as repeated miscarriages and fetal birth defects. In this study, the exact breakpoints of structural variation (SV) from two balanced translocation carrier families by using Nanopore long reads sequencing technology were obtained, and haplotype analysis and Sanger verified the accuracy of the detection results, confirming the application value of the Nanopore sequencing technology in the detection of balanced translocation before embryo implantation. Nanopore long-read sequencing was performed to find the precise breakpoint of chromosome-balanced translocation carriers. The breakpoints were subsequently verified by designing primers across the breakpoints and Sanger sequencing. Haplotype linkage analysis of SNPs which can be linked by a read block of families around the breakpoint regions was followed. After frozen (-thawed) embryo transfer (FET), prenatal cytogenetic analysis of amniotic fluid cells confirmed the predicted karyotypes from the transferred embryos. The presence of breakpoints was detected in three embryos of patient 1. No breakpoints were detected in either embryo of patient 2. One balanced translocated embryo from patient 1 and one normal euploid embryo from patient 2 were transplanted back into the patients, and amniotic fluid cells were analyzed for the karyotype of fetuses. The results were entirely consistent with the fetal karyotype. And through late follow-up, both patients successfully had a live birth fetus. The breakpoint location of the balanced chromosome translocation can be accurately found by Nanopore sequencing. The haplotype of carriers can be successfully constructed by Nanopore and sanger sequencing confirmed that the results were accurate. This is very advantageous for preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) detection in the families without proband.
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Affiliation(s)
- Jian Ou
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | | | - Jian Sun
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Mengxia Ni
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - QingXia Meng
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Jie Ding
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China
| | - Haiyang Fan
- Peking Jabrehoo Med-Tech Co., Ltd, Beijing, China
| | - Shaohua Feng
- Peking Jabrehoo Med-Tech Co., Ltd, Beijing, China
| | - Yining Huang
- Peking Jabrehoo Med-Tech Co., Ltd, Beijing, China
| | - Hong Li
- Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, China.
| | - Jia Fei
- Peking Jabrehoo Med-Tech Co., Ltd, Beijing, China.
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Tikhonov AV, Krapivin MI, Malysheva OV, Komarova EM, Golubeva AV, Efimova OA, Pendina AA. Re-Examination of PGT-A Detected Genetic Pathology in Compartments of Human Blastocysts: A Series of 23 Cases. J Clin Med 2024; 13:3289. [PMID: 38893001 PMCID: PMC11172919 DOI: 10.3390/jcm13113289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/27/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024] Open
Abstract
Background: In recent years, preimplantation genetic testing for aneuploidies (PGT-A) has become widespread in assisted reproduction. However, contrary to expectations, PGT-A does not significantly improve the clinical outcomes of assisted reproductive technologies. One of the underlying reasons is the discordance between the PGT-A results and the true chromosomal constitution of the blastocyst. In this case series, we re-examined the PGT-A results in trophectoderm (TE) re-biopsies and in the two isolated blastocyst compartments-the TE and the inner cell mass (ICM). Methods: This study enrolled 23 human blastocysts from 17 couples who were referred for assisted reproduction. The blastocysts were unsuitable for uterine transfer due to the chromosomal imbalance revealed by PGT-A using array comparative genomic hybridization (aCGH) (n = 11) or next-generation sequencing (NGS) (n = 12). The re-examination of the PGT results involved two steps: (1) a TE re-biopsy with subsequent aCGH and (2) blastocyst separation into the TE and the ICM with a subsequent cell-by-cell analysis of each isolated compartment by fluorescence in situ hybridization (FISH) with the DNA probes to chromosomes 13, 16, 18, 21, and 22 as well as to the PGT-A detected imbalanced chromosomes. Results: In 8 out of 23 cases, the PGT-A results were concordant with both the re-biopsy and the isolated TE and ICM analyses. The latter included the diagnoses of full non-mosaic aneuploidies (five cases of trisomies and two cases of monosomies). In one case, the results of PGT-A, aCGH on the TE re-biopsy, and FISH on the isolated TE showed Xp tetrasomy, which contrasted with the FISH results on the isolated ICM, where this chromosomal pathology was not detected. This case was classified as a confined mosaicism. In 4 out of 23 cases, the results were partially discordant. The latter included one case of trisomy 12, which was detected as non-mosaic by PGT-A and the re-biopsy and as mosaic by FISH on the isolated TE and ICM. This case was classified as a true mosaicism with a false negative PGT-A result. In 11 out of 23 cases, the re-examination results were not concordant with the PGT-A results. In one of these discordant cases, non-mosaic tetraploidy was detected by FISH in the isolated TE and ICM, whereas the PGT-A and the TE re-biopsy failed to detect any abnormality, which advocated for their false negative result. In two cases, the re-examination did not confirm full aneuploidies. In eight cases, full or partial mosaic aneuploidies as well as chaotic mosacism were not confirmed in the isolated TE nor the isolated ICM. Thus, in 47.8% of cases, the PGT-A results did not reflect the true chromosomal constitution of a blastocyst. Conclusions: The PGT results may have different prognostic value in the characterization of the chromosomal constitution of a blastocyst. The detected non-mosaic aneuploidies have the highest prognostic value. In stark contrast, most PGT-identified mosaic aneuploidies fail to characterize the true chromosomal constitution of a blastocyst. Once detected, a differential diagnosis is needed.
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Affiliation(s)
- Andrei V. Tikhonov
- D.O. Ott Research Institute of Obstetrics, Gynecology and Reproductology, Mendeleevskaya Line 3, 199034 Saint Petersburg, Russia
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Latham KE. Preimplantation genetic testing: A remarkable history of pioneering, technical challenges, innovations, and ethical considerations. Mol Reprod Dev 2024; 91:e23727. [PMID: 38282313 DOI: 10.1002/mrd.23727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/15/2023] [Indexed: 01/30/2024]
Abstract
Preimplantation genetic testing (PGT) has emerged as a powerful companion to assisted reproduction technologies. The origins and history of PGT are reviewed here, along with descriptions of advances in molecular assays and sampling methods, their capabilities, and their applications in preventing genetic diseases and enhancing pregnancy outcomes. Additionally, the potential for increasing accuracy and genome coverage is considered, as well as some of the emerging ethical and legislative considerations related to the expanding capabilities of PGT.
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Affiliation(s)
- Keith E Latham
- Department of Animal Science, Michigan State University, East Lansing, Michigan, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University, East Lansing, Michigan, USA
- Reproductive and Developmental Sciences Program, Michigan State University, East Lansing, Michigan, USA
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Zeng X, Lin D, Liang D, Huang J, Yi J, Lin D, Zhang Z. Gene sequencing and result analysis of balanced translocation carriers by third-generation gene sequencing technology. Sci Rep 2023; 13:7004. [PMID: 37117255 PMCID: PMC10147651 DOI: 10.1038/s41598-022-20356-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 09/12/2022] [Indexed: 04/30/2023] Open
Abstract
Because the total gene copy number remains constant and all genes are normally expressed, carriers of balanced chromosomal translocations usually have a normal phenotype but are able to produce many different types of gametes during meiosis, and unbalanced gametes lead to increased risks of infertility, recurrent spontaneous abortion, stillbirth, neonatal death or malformations and intellectual abnormalities in offspring. The key to balanced translocations lies in finding the breakpoints, but current genetic testing techniques are all short-read sequencing, with the disadvantage of procedural complexity and imprecision for precisely identifying the breakpoints. The latest third-generation sequencing technology overcomes these drawbacks and uses robust long-read sequencing to accurately and rapidly detect genome-wide information and identify breakpoint locations. In this paper, we performed whole genome long-read sequencing using an Oxford Nanopore sequencer to detect the breakpoints of 4 balanced chromosomal translocation carriers. The results showed that employing about ~ 10× coverage confirmed 6 of the 8 breakpoints, of which, 2 had microdeletions/insertions identified near the breakpoints and 4 had breakpoints that disrupted the normal gene structure and were simultaneously tested for genome-wide structural variation (SV). The results show that whole genome long-read sequencing is an efficient method for pinpointing translocation breakpoints and providing genome-wide information, which is essential for medical genetics and preimplantation genetic testing.
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Affiliation(s)
- Xiaoqi Zeng
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
- Obstetrics Department of Longyan First Hospital of Fujian Medical University, Fuzhou, China.
| | - Dandan Lin
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Danhong Liang
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Jingwen Huang
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Jinsong Yi
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Dianliang Lin
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
| | - Zhengmian Zhang
- Fujian Provincial Sperm Bank, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
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Xia Q, Li S, Ding T, Liu Z, Liu J, Li Y, Zhu H, Yao Z. Nanopore sequencing for detecting reciprocal translocation carrier status in preimplantation genetic testing. BMC Genomics 2023; 24:1. [PMID: 36593441 PMCID: PMC9809107 DOI: 10.1186/s12864-022-09103-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Balanced reciprocal translocation (BRT) is one of the most common chromosomal abnormalities that causes infertility, recurrent miscarriage, and birth defects. Preimplantation genetic testing (PGT) is widely used to select euploid embryos for BRT carriers to increase the chance of a healthy live birth. Several strategies can be used to distinguish reciprocal translocation carrier embryos from those with a normal karyotype; however, these techniques are time-consuming and difficult to implement in clinical laboratories. In this study, nanopore sequencing was performed in two reciprocal translocation carriers, and the results were validated using the next-generation sequencing-based method named, "Mapping Allele with Resolved Carrier Status" (MaReCs). RESULTS The translocation breakpoints in both reciprocal translocation carriers were accurately identified by nanopore sequencing and were in accordance with the results obtained using MaReCs. More than one euploid non-balanced translocation carrier embryo was identified in both patients. Amniocentesis results revealed normal karyotypes, consistent with the findings by MaReCs and nanopore sequencing. CONCLUSION Our results suggest that nanopore sequencing is a powerful strategy for accurately distinguishing non-translocation embryos from translocation carrier embryos and precisely localizing translocation breakpoints, which is essential for PGT and aids in reducing the propagation of reciprocal translocation in the population.
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Affiliation(s)
- Qiuping Xia
- grid.216417.70000 0001 0379 7164Reproductive Medicine Center, Xiangya Hospital, Central South University, 410008 Changsha, Hunan China
| | - Shenglan Li
- grid.216417.70000 0001 0379 7164Department of Gastroenterology, Xiangya Hospital, Central South University, 410008 Changsha, Hunan China
| | - Taoli Ding
- Yikon Genomics Co., Ltd, 215000 Suzhou, Jiangsu China
| | - Zhen Liu
- Yikon Genomics Co., Ltd, 215000 Suzhou, Jiangsu China
| | - Jiaqi Liu
- Yikon Genomics Co., Ltd, 215000 Suzhou, Jiangsu China
| | - Yanping Li
- grid.216417.70000 0001 0379 7164Reproductive Medicine Center, Xiangya Hospital, Central South University, 410008 Changsha, Hunan China
| | - Huimin Zhu
- grid.216417.70000 0001 0379 7164Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, 410008 Changsha, Hunan China
| | - Zhongyuan Yao
- grid.216417.70000 0001 0379 7164Reproductive Medicine Center, Xiangya Hospital, Central South University, 410008 Changsha, Hunan China
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Gulersen M, Krantz D, Li X, Peyser A, Goldman R, Mullin C, Bornstein E, Rochelson B. The impact of preimplantation genetic testing on first- and second-trimester maternal serum analyte levels. J Matern Fetal Neonatal Med 2022; 35:10435-10443. [PMID: 36195461 DOI: 10.1080/14767058.2022.2128661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To determine whether preimplantation genetic testing (PGT) is associated with a change in maternal serum analyte levels in pregnancies conceived via in vitro fertilization (IVF). METHODS Retrospective cohort of singleton and twin IVF pregnancies with available first- or second-trimester serum analyte data from 01/2014 to 09/2019. Multiple of the median (MoM) values for free β-human chorionic gonadotropin (β-hCG), pregnancy-associated plasma protein A (PAPP-A), alpha-fetoprotein (AFP), inhibin A, and unconjugated estriol, were compared between two groups: pregnancies conceived after transfer of PGT screened euploid embryos vs. those conceived after transfer of untested embryos. Multiple linear regression of log MoM values with F test was performed to adjust for potential confounders. RESULTS Nine hundred and sixty-two singleton and 165 twin IVF pregnancies with serum analyte data available for analysis were included. PGT was associated with a higher median first- and second-trimester AFP compared to no PGT in singletons (1.23 MoM vs. 1.13 MoM; parameter estimate [PE] 1.08, 95% CI 1.00-1.17, p= .04, and 1.21 MoM vs. 1.07 MoM; PE 1.07, 95% CI 1.01-1.13, p= .01, respectively). PGT was also associated with a lower median PAPP-A compared to no PGT in twins (0.75 MoM vs. 1.18 MoM, PE 0.74, 95% CI 0.60-0.92, p= .006). CONCLUSIONS Our data suggest that PGT is associated with higher maternal serum levels of second-trimester AFP in singleton and lower levels of first-trimester PAPP-A in twin pregnancies conceived via IVF.
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Affiliation(s)
- Moti Gulersen
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, North Shore University Hospital - Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | | | | | - Alexandra Peyser
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, North Shore University Hospital - Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Randi Goldman
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, North Shore University Hospital - Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Christine Mullin
- Department of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility, North Shore University Hospital - Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
| | - Eran Bornstein
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Lenox Hill Hospital - Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA
| | - Burton Rochelson
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, North Shore University Hospital - Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY, USA
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Wang Y, Zhao Z, Fu X, Li S, Zhang Q, Kong X. Detection of a Cryptic 25 bp Deletion and a 269 Kb Microduplication by Nanopore Sequencing in a Seemingly Balanced Translocation Involving the LMLN and LOC105378102 Genes. Front Genet 2022; 13:883398. [PMID: 36110201 PMCID: PMC9469083 DOI: 10.3389/fgene.2022.883398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 06/07/2022] [Indexed: 12/03/2022] Open
Abstract
Preimplantation genetic testing plays a critical role in enabling a balanced translocation carrier to obtain the normal embryo. Identifying the precise breakpoints for the carriers with phenotypic abnormity, allows us to reveal disrupted genes. In this study, a seemingly balanced translocation 46, XX, t (3; 6) (q29; q26) was first detected using conventional karyotype analysis. To locate the precise breakpoints, whole genomes of DNA were sequenced based on the nanopore GridION platform, and bioinformatic analyses were further confirmed by polymerase-chain-reaction (PCR) and copy number variation (CNV). Nanopore sequencing results were consistent with the karyotype analysis. Meanwhile, two breakpoints were successfully validated using polymerase-chain-reaction and Sanger Sequencing. LOC105378102 and LMLN genes were disrupted at the breakpoint junctions. Notably, observations found that seemingly balanced translocation was unbalanced due to a cryptic 269 kilobases (Kb) microduplication and a 25 bp deletion at the breakpoints of chromosome (chr) 6 and chr 3, respectively. Furthermore, 269 Kb microduplication was also confirmed by copy number variation analyses. In summary, nanopore sequencing was a rapid and direct method for identifying the precise breakpoints of a balanced translocation despite low coverage (3.8×). In addition, cryptic deletion and duplication were able to be detected at the single-nucleotide level.
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Zhai F, Wang Y, Li H, Wang Y, Zhu X, Kuo Y, Guan S, Li J, Song S, He Q, An J, Zhi X, Lian Y, Huang J, Li R, Qiao J, Yan L, Yan Z. Low-coverage NGS-based PGT-SR accurately discriminate normal/carrier embryos for patients with translocations in IVF. Reprod Biomed Online 2022; 45:473-480. [DOI: 10.1016/j.rbmo.2022.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/09/2022] [Accepted: 05/17/2022] [Indexed: 11/28/2022]
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Anagnostopoulou C, Rosas IM, Singh N, Gugnani N, Chockalingham A, Singh K, Desai D, Darbandi M, Manoharan M, Darbandi S, Leonardi Diaz SI, Gupta S, Henkel R, Sallam HN, Boitrelle F, Wirka KA, Agarwal A. Oocyte quality and embryo selection strategies: a review for the embryologists, by the embryologists. Panminerva Med 2022; 64:171-184. [PMID: 35179016 DOI: 10.23736/s0031-0808.22.04680-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
With the advance of assisted reproduction techniques, and the trend towards blastocyst culture and single embryo transfer, gamete and embryo assessment have gained greater importance in ART treatment. Embryo quality depends mainly on gamete quality and culture conditions. Oocyte maturity identification is necessary in order to plan fertilization timing. Mature oocytes at the metaphase II stage show a higher fertilization rate compared to immature oocytes. Morphology assessment is a critical yet challenging task that may serve as a good prognostic tool for future development and implantation potential if done effectively. Various grading systems have been suggested to assess embryos at pronuclear, cleavage, and blastocyst stages. By identifying the embryo with the highest implantation potential, it is possible to reduce the number of embryos transferred without compromising the chances of a successful pregnancy. Apart from the conventional morphology assessment, there are several invasive or non-invasive methods for embryo selection such as preimplantation genetic testing, morphokinetics, proteomics, metabolomics, oxygen consumption, and measurement of oxidative stress in culture medium. Morphokinetics is a method based on time-lapse technology and continuous monitoring of embryos. In this review, we aim to describe and compare the most effective and widely used methods for gamete and embryo assessment as well as embryo selection.
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Affiliation(s)
| | - Israel M Rosas
- Citmer Reproductive Medicine, IVF LAB, Mexico City, Mexico
| | | | - Nivita Gugnani
- Milann-The Fertility Centre, Delhi, India.,All India Institute of Medical Sciences, Delhi, India
| | | | - Keerti Singh
- Faculty of Medical Sciences, The University of the West Indies, Cave Hill Campus, Barbados
| | - Dimple Desai
- DPU IVF & ENDOSCOPY CENTER, Dr. D. Y. Patil Hospital & Research Centre, Pune, India
| | - Mahsa Darbandi
- Fetal Health Research Center, Hope Generation Foundation, Tehran, Iran.,Gene Therapy and Regenerative Medicine Research Center, Hope Generation Foundation, Tehran, Iran
| | | | - Sara Darbandi
- Fetal Health Research Center, Hope Generation Foundation, Tehran, Iran.,Gene Therapy and Regenerative Medicine Research Center, Hope Generation Foundation, Tehran, Iran
| | | | - Sajal Gupta
- American Center for Reproductive Medicine, Cleveland, OH, USA
| | - Ralf Henkel
- American Center for Reproductive Medicine, Cleveland, OH, USA.,Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.,Department of Medical Bioscience, University of the Western Cape, Bellville, South Africa.,Logix X Pharma, Theale, Berkshire, UK
| | - Hassan N Sallam
- Department of Obstetrics and Gynaecology, Alexandria University Faculty of Medicine, Alexandria, Egypt
| | - Florence Boitrelle
- Reproductive Biology, Fertility Preservation, Andrology, CECOS, Poissy Hospital, Poissy, France.,Department of Biology, Reproduction, Epigenetics, Environment and Development, ParisSaclay University, UVSQ, INRAE, BREED, Jouyen-Josas, France
| | - Kelly A Wirka
- Fertility & Endocrinology, Medical Affairs, EMD Serono, USA
| | - Ashok Agarwal
- American Center for Reproductive Medicine, Cleveland, OH, USA -
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Pei Z, Deng K, Lei C, Du D, Yu G, Sun X, Xu C, Zhang S. Identifying Balanced Chromosomal Translocations in Human Embryos by Oxford Nanopore Sequencing and Breakpoints Region Analysis. Front Genet 2022; 12:810900. [PMID: 35116057 PMCID: PMC8804325 DOI: 10.3389/fgene.2021.810900] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/13/2021] [Indexed: 01/02/2023] Open
Abstract
Background: Balanced chromosomal aberrations, especially balanced translocations, can cause infertility, recurrent miscarriage or having chromosomally defective offspring. Preimplantation genetic testing for structural rearrangement (PGT-SR) has been widely implemented to improve the clinical outcomes by selecting euploid embryos for transfer, whereas embryos with balanced translocation karyotype were difficult to be distinguished by routine genetic techniques from those with a normal karyotype. Method: In this present study, we developed a clinically applicable method for reciprocal translocation carriers to reduce the risk of pregnancy loss. In the preclinical phase, we identified reciprocal translocation breakpoints in blood of translocation carriers by long-read Oxford Nanopore sequencing, followed by junction-spanning polymerase chain reaction (PCR) and Sanger sequencing. In the clinical phase of embryo diagnosis, aneuploidies and unbalanced translocations were screened by comprehensive chromosomal screening (CCS) with single nucleotide polymorphism (SNP) microarray, carrier embryos were diagnosed by junction-spanning PCR and family haplotype linkage analysis of the breakpoints region. Amniocentesis and cytogenetic analysis of fetuses in the second trimester were performed after embryo transfer to conform the results diagnosed by the presented method. Results: All the accurate reciprocal translocation breakpoints were effectively identified by Nanopore sequencing and confirmed by Sanger sequencing. Twelve embryos were biopsied and detected, the results of junction-spanning PCR and haplotype linkage analysis were consistent. In total, 12 biopsied blastocysts diagnosed to be euploid, in which 6 were aneuploid or unbalanced, three blastocysts were identified to be balanced translocation carriers and three to be normal karyotypes. Two euploid embryos were subsequently transferred back to patients and late prenatal karyotype analysis of amniotic fluid cells was performed. The outcomes diagnosed by the current approach were totally consistent with the fetal karyotypes. Conclusions: In summary, these investigations in our study illustrated that chromosomal reciprocal translocations in embryos can be accurately diagnosed. Long-read Nanopore sequencing and breakpoint analysis contributes to precisely evaluate the genetic risk of disrupted genes, and provides a way of selecting embryos with normal karyotype, especially for couples those without a reference.
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Affiliation(s)
- Zhenle Pei
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Ke Deng
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Caixai Lei
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Danfeng Du
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Guoliang Yu
- Chigene (Beijing) Translational Medical Research Center Co. Ltd., Beijing, China
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Congjian Xu
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
- *Correspondence: Congjian Xu, ; Shuo Zhang,
| | - Shuo Zhang
- Shanghai Ji Ai Genetics and IVF Institute, Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
- *Correspondence: Congjian Xu, ; Shuo Zhang,
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Chen S, Yin X, Zhang S, Xia J, Liu P, Xie P, Yan H, Liang X, Zhang J, Chen Y, Fei H, Zhang L, Hu Y, Jiang H, Lin G, Chen F, Xu C. Comprehensive preimplantation genetic testing by massively parallel sequencing. Hum Reprod 2021; 36:236-247. [PMID: 33306794 DOI: 10.1093/humrep/deaa269] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 09/15/2020] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION Can whole genome sequencing (WGS) offer a relatively cost-effective approach for embryonic genome-wide haplotyping and preimplantation genetic testing (PGT) for monogenic disorders (PGT-M), aneuploidy (PGT-A) and structural rearrangements (PGT-SR)? SUMMARY ANSWER Reliable genome-wide haplotyping, PGT-M, PGT-A and PGT-SR could be performed by WGS with 10× depth of parental and 4× depth of embryonic sequencing data. WHAT IS KNOWN ALREADY Reduced representation genome sequencing with a genome-wide next-generation sequencing haplarithmisis-based solution has been verified as a generic approach for automated haplotyping and comprehensive PGT. Several low-depth massively parallel sequencing (MPS)-based methods for haplotyping and comprehensive PGT have been developed. However, an additional family member, such as a sibling, or a proband, is required for PGT-M haplotyping using low-depth MPS methods. STUDY DESIGN, SIZE, DURATION In this study, 10 families that had undergone traditional IVF-PGT and 53 embryos, including 13 embryos from two PGT-SR families and 40 embryos from eight PGT-M families, were included to evaluate a WGS-based method. There were 24 blastomeres and 29 blastocysts in total. All embryos were used for PGT-A. Karyomapping validated the WGS results. Clinical outcomes of the 10 families were evaluated. PARTICIPANTS/MATERIALS, SETTING, METHODS A blastomere or a few trophectoderm cells from the blastocyst were biopsied, and multiple displacement amplification (MDA) was performed. MDA DNA and bulk DNA of family members were used for library construction. Libraries were sequenced, and data analysis, including haplotype inheritance deduction for PGT-M and PGT-SR and read-count analysis for PGT-A, was performed using an in-house pipeline. Haplotyping with a proband and parent-only haplotyping without additional family members were performed to assess the WGS methodology. Concordance analysis between the WGS results and traditional PGT methods was performed. MAIN RESULTS AND THE ROLE OF CHANCE For the 40 PGT-M and 53 PGT-A embryos, 100% concordance between the WGS and single-nucleotide polymorphism (SNP)-array results was observed, regardless of whether additional family members or a proband was included for PGT-M haplotyping. For the 13 embryos from the two PGT-SR families, the embryonic balanced translocation was detected and 100% concordance between WGS and MicroSeq with PCR-seq was demonstrated. LIMITATIONS, REASONS FOR CAUTION The number of samples in this study was limited. In some cases, the reference embryo for PGT-M or PGT-SR parent-only haplotyping was not available owing to failed direct genotyping. WIDER IMPLICATIONS OF THE FINDINGS WGS-based PGT-A, PGT-M and PGT-SR offered a comprehensive PGT approach for haplotyping without the requirement for additional family members. It provided an improved complementary method to PGT methodologies, such as low-depth MPS- and SNP array-based methods. STUDY FUNDING/COMPETING INTEREST(S) This research was supported by the research grant from the National Key R&D Program of China (2018YFC0910201 and 2018YFC1004900), the Guangdong province science and technology project of China (2019B020226001), the Shenzhen Birth Defect Screening Project Lab (JZF No. [2016] 750) and the Shenzhen Municipal Government of China (JCYJ20170412152854656). This work was also supported by the National Natural Science Foundation of China (81771638, 81901495 and 81971344), the National Key R&D Program of China (2018YFC1004901 and 2016YFC0905103), the Shanghai Sailing Program (18YF1424800), the Shanghai Municipal Commission of Science and Technology Program (15411964000) and the Shanghai 'Rising Stars of Medical Talent' Youth Development Program Clinical Laboratory Practitioners Program (201972). The authors declare no competing interests. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Songchang Chen
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Xuyang Yin
- MGI, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | | | - Jun Xia
- MGI, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Ping Liu
- MGI, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Pingyuan Xie
- CITIC-Xiangya Reproductive & Genetic Hospital, Changsha, China
| | | | | | - Junyu Zhang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Yiyao Chen
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Hongjun Fei
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Lanlan Zhang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Yuting Hu
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Jiang
- MGI, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Ge Lin
- CITIC-Xiangya Reproductive & Genetic Hospital, Changsha, China
| | - Fang Chen
- MGI, BGI-Shenzhen, Shenzhen, China.,BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China.,China National GeneBank, BGI-Shenzhen, Shenzhen, China
| | - Chenming Xu
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, China.,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
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12
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M M YC, Yu Q, Ma M, Wang H, Tian S, Zhang W, M M JZ, Liu Y, Yang Q, Pan X, Liang H, Wang L, Leigh D, Cram DS, Yao Y. Variant haplophasing by long-read sequencing: a new approach to preimplantation genetic testing workups. Fertil Steril 2021; 116:774-783. [PMID: 34020778 DOI: 10.1016/j.fertnstert.2021.04.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/23/2021] [Accepted: 04/15/2021] [Indexed: 01/27/2023]
Abstract
OBJECTIVE To apply long-read, third-generation sequencing as a part of a general workup strategy for performing structural rearrangement (PGT-SR) and monogenic disease (PGT-M) embryo testing. DESIGN Prospective study. SETTING In vitro fertilization unit. PATIENT(S) Couples presenting for PGT-SR (n = 15) and PGT-M (n = 2). INTERVENTION(S) Blastocyst biopsy with molecular testing for translocation breakpoints or mutations (targets). MAIN OUTCOME MEASURE(S) Detailed, parental-phased, single-nucleotide polymorphism (SNP) profiles around targets for selection of informative polymorphic markers to simplify and facilitate clinical preimplantation genetic testing (PGT) designs that enable discrimination between carrier and noncarrier embryos. RESULT(S) High definition of chromosome breakpoints together with closely phased polymorphic markers was achieved for all 15 couples presenting for PGT-SR. Similarly, for the two couples presenting for PGT-M, tightly linked informative markers around the mutations were also simply identified. Three couples with translocations t(1;17)(q21;p13), t(3;13)(p25;q21.2), and t(12;13)(q23;q22) proceeded with PGT-SR, requesting preferential identification of noncarrier embryos for transfer. Following selection of a set of informative SNPs linked to breakpoints, we successfully performed PGT-SR tests, resulting in ongoing pregnancies with a noncarrier fetus for all couples. Similarly, with the use of tests based on informative SNPs linked to the parental mutations, one couple proceeded with PGT-M for maple syrup urine disease, resulting in an ongoing pregnancy with a disease-free fetus. CONCLUSION(S) For couples contemplating clinical PGT, variant haplophasing around the target reduces the workup process by enabling rapid selection of closely linked informative markers for patient-specific test design.
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Affiliation(s)
- Yanfei Cheng M M
- Department of Obstetrics and Gynecology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Qian Yu
- Berry Genomics Corporation, Beijing, People's Republic of China
| | - Minyue Ma
- Department of Obstetrics and Gynecology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Hui Wang
- Department of Obstetrics and Gynecology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Shuang Tian
- Department of Obstetrics and Gynecology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Wenling Zhang
- Department of Clinical Laboratory, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Jinning Zhang M M
- Department of Obstetrics and Gynecology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China
| | - Yifan Liu
- Prenatal Diagnostic Center, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Qi Yang
- Berry Genomics Corporation, Beijing, People's Republic of China
| | - Xiao Pan
- Berry Genomics Corporation, Beijing, People's Republic of China
| | - Hongbin Liang
- Genetics and Precision Medicine Center, First Hospital of Kunming, Calmette Hospital, Kunming, People's Republic of China
| | - Li Wang
- Genetics and Precision Medicine Center, First Hospital of Kunming, Calmette Hospital, Kunming, People's Republic of China
| | - Don Leigh
- Genetics and Precision Medicine Center, First Hospital of Kunming, Calmette Hospital, Kunming, People's Republic of China
| | - David S Cram
- Berry Genomics Corporation, Beijing, People's Republic of China; Genetics and Precision Medicine Center, First Hospital of Kunming, Calmette Hospital, Kunming, People's Republic of China
| | - Yuanqing Yao
- Department of Obstetrics and Gynecology, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.
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13
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Chen HF, Chen M, Ho HN. An overview of the current and emerging platforms for preimplantation genetic testing for aneuploidies (PGT-A) in in vitro fertilization programs. Taiwan J Obstet Gynecol 2021; 59:489-495. [PMID: 32653118 DOI: 10.1016/j.tjog.2020.05.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2020] [Indexed: 01/16/2023] Open
Abstract
Preimplantation genetic testing for aneuploidies (PGT-A) and PGT for monogenic disorders (PGT-M) have currently been used widely, aiming to improve IVF outcomes. Although with many years of unsatisfactory results, PGT-A has been revived because new technologies have been adopted, such as platforms to examine all 24 types of chromosomes in blastocysts. This report compiles current knowledge regarding the available PGT platforms, including quantitative PCR, array CGH, and next-generation sequencing. The diagnostic capabilities of are compared and respective advantages/disadvantages outlined. We also address the limitations of current technologies, such as assignment of embryos with balanced translocation. We also discuss the emerging novel PGT technologies that likely will change our future practice, such as non-invasive PGT examining spent culture medium. Current literature suggest that most platforms can effectively reach concordant results regarding whole-chromosome ploidy status of all 24 types of chromosomes. However, different platforms have different resolutions and experimental complexities; leading to different turnaround time, throughput and differential capabilities of detecting mosaicism, segmental mutations, unbalanced translocations, concurrent PGT-A and PGT-M etc. Based on these information, IVF staff can more appropriately interpret PGT data and counsel patients, and select suitable platforms to meet personalized needs. The present report also concisely discusses some crucial clinical outcomes by PGT, which can clarify the role of applying PGT in daily IVF programs. Finally the up-to-date information about the novel use of current technologies and the newly emerging technologies will also help identify the focus areas for the design of new platforms for PGT in the future.
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Affiliation(s)
- Hsin-Fu Chen
- Department of Obstetrics and Gynecology, College of Medicine and the Hospital, National Taiwan University, Taipei, Taiwan; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
| | - Ming Chen
- Department of Medical Genetics, College of Medicine and the Hospital, National Taiwan University, Taipei, Taiwan; Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan; Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan.
| | - Hong-Nerng Ho
- Department of Obstetrics and Gynecology, College of Medicine and the Hospital, National Taiwan University, Taipei, Taiwan; Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan; Graduate Institute of Immunology, College of Medicine, National Taiwan University, Taiwan.
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14
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Liu D, Chen C, Zhang X, Dong M, He T, Dong Y, Lu J, Yu L, Yang C, Liu F. Successful birth after preimplantation genetic testing for a couple with two different reciprocal translocations and review of the literature. Reprod Biol Endocrinol 2021; 19:58. [PMID: 33879178 PMCID: PMC8056626 DOI: 10.1186/s12958-021-00731-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 03/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) is widely applied in couples with single reciprocal translocation to increase the chance for a healthy live birth. However, limited knowledge is known on the data of PGT-SR when both parents have a reciprocal translocation. Here, we for the first time present a rare instance of PGT-SR for a non-consanguineous couple in which both parents carried an independent balanced reciprocal translocation and show how relevant genetic counseling data can be generated. METHODS The precise translocation breakpoints were identified by whole genome low-coverage sequencing (WGLCS) and Sanger sequencing. Next-generation sequencing (NGS) combining with breakpoint-specific polymerase chain reaction (PCR) was used to define 24-chromosome and the carrier status of the euploid embryos. RESULTS Surprisingly, 2 out of 3 day-5 blastocysts were found to be balanced for maternal reciprocal translocation while being normal for paternal translocation and thus transferable. The transferable embryo rate was significantly higher than that which would be expected theoretically. Transfer of one balanced embryo resulted in the birth of a healthy boy. CONCLUSION(S) Our data of PGT-SR together with a systematic review of the literature should help in providing couples carrying two different reciprocal translocations undergoing PGT-SR with more appropriate genetic counseling.
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Affiliation(s)
- Dun Liu
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Chuangqi Chen
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Xiqian Zhang
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Mei Dong
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Tianwen He
- Medical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Yunqiao Dong
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Jian Lu
- Medical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Lihua Yu
- Medical Genetic Centre, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Chuanchun Yang
- CheerLand Precision Biomed Co., Ltd., Shenzhen, Guangdong, China
| | - Fenghua Liu
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China.
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15
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Gulersen M, Peyser A, Ferraro A, Goldman R, Mullin C, Li X, Krantz D, Bornstein E, Rochelson B. Maternal and neonatal outcomes in pregnancies conceived after preimplantation genetic testing. Prenat Diagn 2021; 41:835-842. [PMID: 33773521 DOI: 10.1002/pd.5937] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/01/2021] [Accepted: 03/22/2021] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To determine whether preimplantation genetic testing (PGT) is associated with an increase in adverse maternal or neonatal outcomes in singleton and twin live births conceived via in vitro fertilization (IVF). METHOD Retrospective cohort of live births resulting from IVF within a university health system between January 2014 and August 2019. Adverse maternal outcomes (e.g., hypertensive disorders of pregnancy, abnormal placentation, and preterm birth), and adverse neonatal outcomes were compared in singleton and twin pregnancies conceived after transfer of one or two PGT-screened euploid embryos versus untested embryos in separate analyses. Multivariate backwards-stepwise logistic regression was used to adjust for potential confounders. RESULTS Of 1160 live births, 539 (46.5%) resulted from PGT-screened embryos, 1015 (87.5%) were singletons, and 145 (12.5%) were twins. After adjusting for potential confounders, there were no significant differences between the two groups with respect to hypertensive disorders of pregnancy, fetal growth restriction, preterm birth, and adverse neonatal outcomes in both analyses, as well as abnormal placentation for singletons. CONCLUSION Our data suggest that IVF with PGT is not associated with an increased risk of adverse maternal or neonatal outcomes compared to IVF without PGT. Further research utilizing larger cohorts are needed before drawing definitive conclusions.
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Affiliation(s)
- Moti Gulersen
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, North Shore University Hospital-Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Alexandra Peyser
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, North Shore University Hospital-Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Amanda Ferraro
- Department of Obstetrics and Gynecology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
| | - Randi Goldman
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, North Shore University Hospital-Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Christine Mullin
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, North Shore University Hospital-Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Xueying Li
- Biostatistics, Eurofins NTD, Melville, New York, USA
| | - David Krantz
- Biostatistics, Eurofins NTD, Melville, New York, USA
| | - Eran Bornstein
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Lenox Hill Hospital-Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, USA
| | - Burton Rochelson
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, North Shore University Hospital-Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
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16
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Li R, Wang J, Gu A, Xu Y, Guo J, Pan J, Zeng Y, Ma Y, Zhou C, Xu Y. Feasibility study of using unbalanced embryos as a reference to distinguish euploid carrier from noncarrier embryos by single nucleotide polymorphism array for reciprocal translocations. Prenat Diagn 2021; 41:681-689. [PMID: 33411373 DOI: 10.1002/pd.5897] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 12/24/2020] [Accepted: 12/30/2020] [Indexed: 12/22/2022]
Abstract
OBJECTIVES To study the feasibility of using unbalanced embryos as a reference in distinguishing euploid carrier and noncarrier embryos by single nucleotide polymorphism (SNP) array-based preimplantation genetic testing (PGT) for reciprocal translocations. METHODS After comprehensive chromosome screening (CCS), euploid embryos were identified as normal or carriers using a family member as a reference. Next, unbalanced embryos were used as a reference, and the results were compared with the previous ones. Karyotypes of transferred embryos were validated by prenatal diagnosis. RESULTS Of 995 embryos from 110 couples, 288 were found to be euploid. Using a family member as a reference, 142 and 144 embryos were tested to be euploid noncarrier and carrier respectively, and the remaining 2 embryos were undetermined. When unbalanced embryos were selected as references, all the results were consistent with the previous ones. A total of 107 embryos were transferred, resulting in 66 clinical pregnancies. Karyotypes of prenatal diagnosis were all in accordance with the results of tested embryos. CONCLUSIONS SNP array-based haplotyping is a rapid and effective way to distinguish between euploid carrier and noncarrier embryos. In case no family member is available as a reference, unbalanced embryos can be used for identification of euploid carrier and noncarrier embryos.
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Affiliation(s)
- Rong Li
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Jing Wang
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Ailing Gu
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yan Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Jing Guo
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Jiafu Pan
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Yanhong Zeng
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Yuanlin Ma
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
| | - Yanwen Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, Guangdong, China
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17
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Clinical outcomes following preimplantation genetic testing and microdissecting junction region in couples with balanced chromosome rearrangement. J Assist Reprod Genet 2021; 38:735-742. [PMID: 33432423 PMCID: PMC7910386 DOI: 10.1007/s10815-020-02052-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 12/28/2020] [Indexed: 10/27/2022] Open
Abstract
PURPOSE The purpose of this study is to summarize the clinical outcomes of apparently balanced chromosome rearrangement (ABCR) carriers in preimplantation genetic testing (PGT) cycles by next-generation sequencing following microdissecting junction region (MicroSeq) to distinguish non-carrier embryos from balanced carriers. METHODS A retrospective study of 762 ABCR carrier couples who requested PGT for structural rearrangements combined with MicroSeq at the Reproductive and Genetic Hospital of CITIC-Xiangya was conducted between October 2014 and October 2019. RESULTS Trophectoderm biopsy was performed in 4122 blastocysts derived from 917 PGT-SR cycles and 3781 blastocysts were detected. Among the 3781 blastocysts diagnosed, 1433 (37.9%, 1433/3781) were balanced, of which 739 blastocysts were carriers (51.57%, 739/1433) and 694 blastocysts were normal (48.43%, 694/1433). Approximately 26.39% of cycles had both carrier and normal embryo transfer, and the average number of biopsied blastocysts was 6.7. In the cumulative 223 biopsied cycles with normal embryo transfer, all couples chose to transfer the normal embryos. In the 225 cycles with only carrier embryos, the couples chose to transfer the carrier embryos in 169/225 (75.11%) cycles. A total of 732 frozen embryo transfer cycles were performed, resulting in 502 clinical pregnancies. Cumulatively, 326 babies were born; all of these babies were healthy and free of any developmental issues. CONCLUSION Our study provides the first evaluation of the clinical outcomes of a large sample with ABCR carrier couples undergoing the MicroSeq-PGT technique and reveals its powerful ability to distinguish between carrier and non-carrier balanced embryos.
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18
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Liu XY, Fan Q, Wang J, Li R, Xu Y, Guo J, Wang YZ, Zeng YH, Ding CH, Cai B, Zhou CQ, Xu YW. Higher chromosomal abnormality rate in blastocysts from young patients with idiopathic recurrent pregnancy loss. Fertil Steril 2020; 113:853-864. [PMID: 32228881 DOI: 10.1016/j.fertnstert.2019.11.016] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 11/10/2019] [Accepted: 11/12/2019] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To determine whether the incidence of chromosomal abnormalities in blastocysts is higher in patients with idiopathic recurrent pregnancy loss (iRPL) who underwent preimplantation genetic testing for aneuploidy (PGT-A) than in those who underwent preimplantation genetic testing for monogenic defects (PGT-M). DESIGN Retrospective cohort study. SETTING University-affiliated reproductive center. PATIENT(S) A total of 62 patients with iRPL underwent 101 PGT-A cycles (iRPL group), and 212 patients underwent 311 PGT-M cycles (control group). INTERVENTIONS(S) Blastocyst biopsy and comprehensive chromosome screening technologies, including single-nucleotide polymorphism microarrays and next-generation sequencing. MAIN OUTCOME MEASURE(S) Incidence of chromosomal abnormalities in blastocysts and clinical miscarriage (CM) rate. RESULT(S) Stratification analysis by maternal age showed an increased incidence of chromosomal abnormalities in the iRPL group aged ≤35 years (48.9% vs. 36.9%), whereas no significant increase was found in the iRPL group aged >35 years (66.9% vs. 61.4%). After transfer of euploid embryos, women aged ≤35 years with iRPL exhibited an increased CM rate compared with the control group (26.1% vs. 3.1%). CONCLUSION(S) Young patients with iRPL have a significantly higher rate of chromosomal abnormalities in blastocysts compared with patients with no or sporadic CM. Although euploid embryos were transferred after PGT-A, young patients with iRPL had a higher CM rate, which may indicate that chromosomal abnormalities might not be the only causal factor for iRPL. Therefore, the role of PGT-A in iRPL still needs to be clarified.
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Affiliation(s)
- Xin-Yan Liu
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Qi Fan
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Jing Wang
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Rong Li
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Yan Xu
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Jing Guo
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Yi-Zi Wang
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Yan-Hong Zeng
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Chen-Hui Ding
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Bing Cai
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Can-Quan Zhou
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Yan-Wen Xu
- Guangdong Provincial Key Laboratory of Reproductive Medicine, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China.
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In vitro fertilization outcomes after preimplantation genetic testing for chromosomal structural rearrangements comparing fluorescence in-situ hybridization, microarray comparative genomic hybridization, and next-generation sequencing. F S Rep 2020; 1:249-256. [PMID: 34223252 PMCID: PMC8244371 DOI: 10.1016/j.xfre.2020.09.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 09/18/2020] [Accepted: 09/21/2020] [Indexed: 12/22/2022] Open
Abstract
Objective To compare in vitro fertilization (IVF) outcomes for preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) using various testing platforms. Design Retrospective cohort. Setting Large academic IVF center. Patient(s) Fifty-one balanced translocation carriers undergoing IVF with PGT-SR who completed a total of 91 cycles, including 31 fluorescence in-situ hybridization (FISH), 24 microarray comparative genomic hybridization (aCGH), and 36 next-generation sequencing (NGS) testing cycles. Intervention(s) PGT-SR. Main Outcome Measure(s) Primary outcome of live-birth rate and secondary outcomes including implantation rate, clinical loss rate, and percentages of normal or balanced, unbalanced, and aneuploid embryos detected. Result(s) There was no statistically significant difference in LBR, though there was a tendency toward a higher LBR for NGS testing (14 of 19, 73.7%) compared with FISH (8 of 18, 44.4%) and aCGH (10 of 20, 50.0%). The implantation rate was statistically significantly higher for NGS (16 of 20, 80.0%) compared with FISH (11 of 25, 44.0%) and aCGH (16 of 30, 53.3%). There was no statistically significant difference in clinical pregnancy losses. There was a lower percentage of normal or balanced embryos with FISH (12.5%) compared with aCGH (23.7%) and with NGS (20.7%). Conclusion(s) This is the first report of PGT-SR outcomes for translocation carriers directly comparing PGT-SR using FISH, aCGH, and NGS. Our findings suggest an improvement in pregnancy outcomes parallel to the advancement in technology and are reassuring for continued use of NGS for this population.
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Huang S, Niu Y, Li J, Gao M, Zhang Y, Yan J, Ma S, Gao X, Gao Y. Complex preimplantation genetic tests for Robertsonian translocation, HLA, and X-linked hyper IgM syndrome caused by a novel mutation of CD40LG gene. J Assist Reprod Genet 2020; 37:2025-2031. [PMID: 32500460 DOI: 10.1007/s10815-020-01846-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 05/28/2020] [Indexed: 12/22/2022] Open
Abstract
PURPOSE To perform complex preimplantation genetic tests (PGT) for aneuploidy screening, Robertsonian translocation, HLA-matching, and X-linked hyper IgM syndrome (XHIGM) caused by a novel mutation c.156 G>T of CD40LG gene. METHODS Reverse transcription PCR (RT-PCR) and Sanger sequencing were carried out to confirm the causative variant of CD40LG gene in the proband and parents. Day 5 and D6 blastocysts, obtained by in vitro fertilization (IVF) with intracytoplasmic sperm injection, underwent trophectoderm (TE) biopsy and whole genomic amplification (WGA) and next generation sequencing (NGS)-based PGT to detect the presence of a maternal CD40LG mutation, aneuploidy, Robertsonian translocation carrier, and human leukocyte antigen (HLA) haplotype. RESULTS Sanger sequencing data of the genomic DNA showed that the proband has a hemizygous variant of c. 156 G>T in the CD40LG gene, while his mother has a heterozygous variant at the same position. Complementary DNA (cDNA) of CD40LG amplification and sequencing displayed that no cDNA of CD40LG was found in proband, while only wild-type cDNA of CD40LG was amplified in the mother. PGT results showed that only one of the six tested embryos is free of the variant c.156 G>T and aneuploidy and having the consistent HLA type as the proband. Meanwhile, the embryo is a Robertsonian translocation carrier. The embryo was transplanted into the mother's uterus. Amniotic fluid testing results are consistent with that of PGT. A healthy baby girl was delivered, and the peripheral blood testing data was also consistent with the testing results of transplanted embryo. CONCLUSIONS The novel mutation of c. 156 G>T in CD40LG gene probably leads to XHIGM by nonsense-meditated mRNA decay (NMD), and complex PGT of preimplantation genetic testing for monogenic disease (PGT-M), aneuploidy (PGT-A), structural rearrangement (PGT-SR), and HLA-matching (PGT-HLA) can be performed in pedigree with both X-linked hyper IgM syndrome and Robertsonian translocation.
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Affiliation(s)
- Sexin Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Yuping Niu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Jie Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Ming Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Yan Zhang
- Shandong Provincial Hospital, Jinan, 250001, Shandong, China
| | - Junhao Yan
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Shuiying Ma
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Xuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China
| | - Yuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Key Laboratory of Reproductive Medicine, Jinan, 250012, Shandong, China.
- Shandong Provincial Clinical Research Center for Reproductive Health, Jinan, 250012, Shandong, China.
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, Shandong, China.
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Preimplantation Genetic Testing for Chromosomal Abnormalities: Aneuploidy, Mosaicism, and Structural Rearrangements. Genes (Basel) 2020; 11:genes11060602. [PMID: 32485954 PMCID: PMC7349251 DOI: 10.3390/genes11060602] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 05/25/2020] [Accepted: 05/27/2020] [Indexed: 12/18/2022] Open
Abstract
There is a high incidence of chromosomal abnormalities in early human embryos, whether they are generated by natural conception or by assisted reproductive technologies (ART). Cells with chromosomal copy number deviations or chromosome structural rearrangements can compromise the viability of embryos; much of the naturally low human fecundity as well as low success rates of ART can be ascribed to these cytogenetic defects. Chromosomal anomalies are also responsible for a large proportion of miscarriages and congenital disorders. There is therefore tremendous value in methods that identify embryos containing chromosomal abnormalities before intrauterine transfer to a patient being treated for infertility—the goal being the exclusion of affected embryos in order to improve clinical outcomes. This is the rationale behind preimplantation genetic testing for aneuploidy (PGT-A) and structural rearrangements (-SR). Contemporary methods are capable of much more than detecting whole chromosome abnormalities (e.g., monosomy/trisomy). Technical enhancements and increased resolution and sensitivity permit the identification of chromosomal mosaicism (embryos containing a mix of normal and abnormal cells), as well as the detection of sub-chromosomal abnormalities such as segmental deletions and duplications. Earlier approaches to screening for chromosomal abnormalities yielded a binary result of normal versus abnormal, but the new refinements in the system call for new categories, each with specific clinical outcomes and nuances for clinical management. This review intends to give an overview of PGT-A and -SR, emphasizing recent advances and areas of active development.
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22
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Gao M, Wang L, Xu P, Xie H, Liu X, Huang S, Zou Y, Li J, Wang Y, Li P, Gao Y, Chen Z. Noncarrier embryo selection and transfer in preimplantation genetic testing cycles for reciprocal translocation by Oxford Nanopore Technologies. J Genet Genomics 2020; 47:718-721. [PMID: 33775291 DOI: 10.1016/j.jgg.2020.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 10/24/2022]
Affiliation(s)
- Ming Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Lijuan Wang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Peiwen Xu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Hongqiang Xie
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Xiaowei Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Sexin Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Yang Zou
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Jie Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
| | - Yang Wang
- GrandOmics Biosciences Co., Ltd, Beijing, 102206, China
| | - Pidong Li
- GrandOmics Biosciences Co., Ltd, Beijing, 102206, China
| | - Yuan Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.
| | - Zijiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China; Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China
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Wang H, Jia Z, Mao A, Xu B, Wang S, Wang L, Liu S, Zhang H, Zhang X, Yu T, Mu T, Xu M, Cram DS, Yao Y. Analysis of balanced reciprocal translocations in patients with subfertility using single-molecule optical mapping. J Assist Reprod Genet 2020; 37:509-516. [PMID: 32026199 DOI: 10.1007/s10815-020-01702-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 01/27/2020] [Indexed: 12/26/2022] Open
Abstract
PURPOSE Approximately 1% of individuals who carry a balanced reciprocal translocation (BRT) are subfertile. Current karyotyping does not have the resolution to determine whether the breakpoints of the involved chromosomes perturb genes important for fertility. The aim of this study was to apply single-molecule optical mapping (SMOM) to patients presenting for IVF (in vitro fertilization) to ascertain whether the BRT disrupted any genes associated with normal fertility. METHODS Nine subfertile patients with different BRTs were recruited for the study. Methyltransferase enzyme DLE1 was used to fluorescently label their genomic DNA samples at the recognition motif CTTAAG. The SMOM was performed on the Bionano platform, and long molecules aligned against the reference genome hg19 to identify the breakpoint regions. Mate-pair and PCR-Sanger sequencing were used to confirm the precise breakpoint sequences. RESULTS Both breakpoint regions in each of the nine BRTs were finely mapped to small regions of approximately 10 Kb, and their positions were consistent with original cytogenetic banding patterns determined by karyotyping. In three BRTs, breakpoints disrupted genes known to be associated with male infertility, namely NUP155 and FNDC3A [46,XY,t(5;13)(p15;q22)], DPY19L1 [46,XY,t(1;7)(p36.3;p15), and BAI3 [46,XY,t(3;6)(p21;q16)]. CONCLUSIONS The SMOM has potential clinical application as a rapid tool to screen patients with BRTs for underlying genetic causes of infertility and other diseases.
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Affiliation(s)
- Hui Wang
- Department of Obstetrics and Gynecology, PLA General Hospital, Beijing, 100853, China
| | - Zhengjun Jia
- Prenatal Diagnosis Center of Hunan Province, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, China
| | - Aiping Mao
- Berry Genomics Corporation, Beijing, 102200, China
| | - Bing Xu
- Department of Obstetrics and Gynecology, PLA General Hospital, Beijing, 100853, China
| | - Shuling Wang
- Department of Obstetrics and Gynecology, PLA General Hospital, Beijing, 100853, China
| | - Li Wang
- The First Hospital of KunMing, Kunming, 650034, China
| | - Sai Liu
- Department of Obstetrics and Gynecology, PLA General Hospital, Beijing, 100853, China.,The First Hospital of KunMing, Kunming, 650034, China
| | - Haiman Zhang
- Berry Genomics Corporation, Beijing, 102200, China
| | | | - Tao Yu
- Berry Genomics Corporation, Beijing, 102200, China
| | - Ting Mu
- Berry Genomics Corporation, Beijing, 102200, China
| | - Mengnan Xu
- Berry Genomics Corporation, Beijing, 102200, China
| | - David S Cram
- Berry Genomics Corporation, Beijing, 102200, China.
| | - Yuanqing Yao
- Department of Obstetrics and Gynecology, PLA General Hospital, Beijing, 100853, China.
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Chow JF, Cheng HH, Lau EY, Yeung WS, Ng EH. Distinguishing between carrier and noncarrier embryos with the use of long-read sequencing in preimplantation genetic testing for reciprocal translocations. Genomics 2020; 112:494-500. [DOI: 10.1016/j.ygeno.2019.04.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 02/16/2019] [Accepted: 04/01/2019] [Indexed: 01/21/2023]
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Chow JFC, Cheng HHY, Lau EYL, Yeung WSB, Ng EHY. High-resolution mapping of reciprocal translocation breakpoints using long-read sequencing. MethodsX 2019; 6:2499-2503. [PMID: 31908979 PMCID: PMC6939040 DOI: 10.1016/j.mex.2019.10.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 10/25/2019] [Indexed: 11/25/2022] Open
Abstract
Long-read nanopore sequencing enables direct high-resolution breakpoint mapping on balanced carriers of reciprocal translocation. The mean sequencing depth on the translocated chromosomes to achieve accurate mapping of breakpoints ranged from 2.5-fold to 6.2-fold. To speed up determination of the breakpoints from long-read sequencing data, alignment reads on the translocated chromosomes were extracted before piped into NanoSV. Checking the position of breakpoints on Interactive Genomics Viewer (IGV) was crucial to successful design of breakpoint PCR primers, especially when large deletion was involved at the breakpoints. Long-read sequencing enables accurate breakpoint mapping with base-pair resolution Splitting bam files by translocated chromosomes drastically speeded up the breakpoint determination IGV helps to identify the breakpoint positions and facilitate the design of breakpoint PCR primers
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Affiliation(s)
- Judy F C Chow
- Department of Obstetrics and Gynecology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong
| | - Heidi H Y Cheng
- Department of Obstetrics and Gynecology, Queen Mary Hospital, Hong Kong
| | - Estella Y L Lau
- Department of Obstetrics and Gynecology, Queen Mary Hospital, Hong Kong
| | - William S B Yeung
- Department of Obstetrics and Gynecology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong.,Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong-Shenzhen Hospital, Hong Kong
| | - Ernest H Y Ng
- Department of Obstetrics and Gynecology, The University of Hong Kong, Queen Mary Hospital, Pokfulam, Hong Kong
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Treff NR, Zimmerman R, Bechor E, Hsu J, Rana B, Jensen J, Li J, Samoilenko A, Mowrey W, Van Alstine J, Leondires M, Miller K, Paganetti E, Lello L, Avery S, Hsu S, Melchior Tellier LC. Validation of concurrent preimplantation genetic testing for polygenic and monogenic disorders, structural rearrangements, and whole and segmental chromosome aneuploidy with a single universal platform. Eur J Med Genet 2019; 62:103647. [DOI: 10.1016/j.ejmg.2019.04.004] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Revised: 03/22/2019] [Accepted: 04/02/2019] [Indexed: 11/25/2022]
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Zanetti BF, Braga DPDAF, Azevedo MDC, Setti AS, Figueira RCS, Iaconelli A, Borges E. Preimplantation genetic testing for monogenic diseases: a Brazilian IVF centre experience. JBRA Assist Reprod 2019; 23:99-105. [PMID: 30614237 PMCID: PMC6501745 DOI: 10.5935/1518-0557.20180076] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE To describe the cases of preimplantation genetic testing for monogenic diseases (PGT-M) in fertile couples who had undergone intracytoplasmic sperm injection (ICSI) cycles in a Brazilian in vitro fertilisation (IVF) centre and determine whether these cases were different from those reported from the European Society of Human Reproduction and Embryology (ESHRE). METHODS This retrospective collection included data obtained from ICSI-PGT-M cycles between 2011 and 2016. The disease indication, number of biopsied embryos, biopsy stage, diagnosed and affected embryos, and cycles with embryo to transfer as well as implantation, pregnancy and miscarriage rates were analysed and compared to cycles without genetic diagnosis (PGT) and with ESHRE PGD Consortium collection XIV-XV. RESULTS From 5,070 cycles performed, 72 had indications for PGT-M. The most common time for biopsy was cleavage-stage; 93% of the embryos had a diagnostic result, 59.4% of which were genetically transferable, resulting in 68% of the cycles with transferred embryos, a 22.1% implantation rate, and a 28.6% pregnancy rate. No differences in clinical outcomes of cycles with PGT-M or without PGT were observed. The day of biopsy and diagnostic success as well as implantation, pregnancy and miscarriage rates were similar to ESHRE collection. CONCLUSIONS Although the proportion of cases with PGT-M was low, its efficacy was similar to what was reported in the European collection and represents a viable alternative for families at risk of transmitting a genetic disorder to their offspring. The main difference between our and ESHRE collection were the disease indications, which reflected the admixed, multi-ethnic Brazilian population.
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Affiliation(s)
- Bianca Ferrarini Zanetti
- Fertility - Medical Group, São Paulo, SP - Brazil.,Instituto Sapientiae - Centro de Estudos e Pesquisa em Reprodução Humana Assistida, São Paulo, SP - Brazil
| | | | | | - Amanda Souza Setti
- Fertility - Medical Group, São Paulo, SP - Brazil.,Instituto Sapientiae - Centro de Estudos e Pesquisa em Reprodução Humana Assistida, São Paulo, SP - Brazil
| | | | - Assumpto Iaconelli
- Fertility - Medical Group, São Paulo, SP - Brazil.,Instituto Sapientiae - Centro de Estudos e Pesquisa em Reprodução Humana Assistida, São Paulo, SP - Brazil
| | - Edson Borges
- Fertility - Medical Group, São Paulo, SP - Brazil.,Instituto Sapientiae - Centro de Estudos e Pesquisa em Reprodução Humana Assistida, São Paulo, SP - Brazil
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Zhang S, Zhao D, Zhang J, Mao Y, Kong L, Zhang Y, Liang B, Sun X, Xu C. BasePhasing: a highly efficient approach for preimplantation genetic haplotyping in clinical application of balanced translocation carriers. BMC Med Genomics 2019; 12:52. [PMID: 30885195 PMCID: PMC6423798 DOI: 10.1186/s12920-019-0495-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 02/28/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Preimplantation genetic testing (PGT) has already been applied in chromosomally balanced translocation carriers to improve the clinical outcome of assisted reproduction. However, traditional methods could not further distinguish embryos carrying a translocation from those with a normal karyotype prior to implantation. METHODS To solve this problem, we developed a method named "Chromosomal Phasing on Base level" (BasePhasing), which based on Infinium Asian Screening Array-24 v1.0 (ASA) and a specially phasing pipeline. Firstly, by comparing the number of single nucleotide polymorphism (SNP) loci in different minor allele frequencies (MAFs) and in 2Mbp continuous windows of ASA chip and karyomap-12 chip, we verified whether ASA could be adopted for genome-wide haplotype linkage analysis. Besides, the whole gene amplification (WGA) of 3-10 cells of GM16457 cell line was used to verify whether ASA chip could be used for testing of WGA products. Finally, two balanced translocation families were utilized to carry out BasePhasing and to validate the feasibility of its clinical application. RESULTS The average number of SNP loci in each window of ASA (473.2) was twice of that of Karyomap-12 (201.2). The coincidence rate of SNP loci in genomic DNA and WGA products was about 97%. The 5.3Mbp deletion was detected positively in cell line GM16457 of both genomic DNA and WGA products, and haplotype linkage analysis was performed in genome wide successfully. In the two balanced translocation families, 18 blastocysts were analyzed, in which 8 were unbalanced and the other 10 were balanced or normal chromosomes. Two embryos were transferred back to the patients successfully, and prenatal cytogenetic analysis of amniotic fluid was performed in the second trimester. The results predicted by BasePhasing and prenatal diagnosis were totally consistent. CONCLUSIONS Infinium ASA bead chip based BasePhasing pipeline shows good performance in balanced translocation carrier testing. With the characteristics of simple operation procedure and accurate results, we demonstrate that BasePhasing is one of the most suitable methods to distinguish between balanced and structurally normal chromosome embryos from translocation carriers in PGT at present.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China.,State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Science, Fudan University, 588 Fangxie Rd, Shanghai, 200438, China
| | - Dingding Zhao
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP, Suzhou, Jiangsu, 215001, China
| | - Jun Zhang
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP, Suzhou, Jiangsu, 215001, China
| | - Yan Mao
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP, Suzhou, Jiangsu, 215001, China
| | - Lingyin Kong
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP, Suzhou, Jiangsu, 215001, China
| | - Yueping Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China
| | - Bo Liang
- Basecare Medical Device Co., Ltd, 218 Xinghu Road, SIP, Suzhou, Jiangsu, 215001, China. .,State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , 800 Dongchuan Road, Shanghai, 200240, China.
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China. .,Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China.
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China. .,Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, China.
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Identifying normal embryos from reciprocal translocation carriers by whole chromosome haplotyping. J Genet Genomics 2018; 45:505-508. [PMID: 30287172 DOI: 10.1016/j.jgg.2018.05.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 03/28/2018] [Accepted: 05/13/2018] [Indexed: 11/24/2022]
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Wang J, Zeng Y, Ding C, Cai B, Lu B, Li R, Xu Y, Xu Y, Zhou C. Preimplantation genetic testing of Robertsonian translocation by SNP array-based preimplantation genetic haplotyping. Prenat Diagn 2018; 38:547-554. [PMID: 29799617 DOI: 10.1002/pd.5258] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 03/23/2018] [Accepted: 03/26/2018] [Indexed: 11/10/2022]
Abstract
OBJECTIVES The present study attempted to confirm a method that distinguishes a balanced Robertsonian translocation carrier embryo from a truly normal embryo in parallel with comprehensive chromosome screening (CCS). METHODS Comprehensive chromosome screening was performed in 107 embryos from 11 couples carrying Robertsonian translocations. Among them, embryos from 2 families had been transferred before the diagnosis of translocation, which resulted in successful pregnancies; embryos from the remaining families were transferred after the identification of translocations. The single nucleotide polymorphism (SNP) genotypes were acquired on a genome-wide basis, and breakpoint regions and flanking were assessed by establishing haplotypes. The predicted karyotypes from the transferred embryos were confirmed by prenatal diagnosis. RESULTS Among the 9 families finally undergoing translocation diagnosis, the amniotic cell karyotypes of 3 families were concordant with the results predicted by preimplantation genetic haplotyping, revealing a good consistency rate. After CCS, the euploid embryos from 2 other families could not be further detected because of the absence of abnormal embryos as probands. CONCLUSIONS Molecular karyotypes and haplotypes could be established with SNP microarray simultaneously in each embryo. SNP array-based PGT can simultaneously complete the CCS and identify Robertsonian translocation carriers, thus making it possible to prevent Robertsonian translocations from being passed to subsequent generations.
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Affiliation(s)
- Jing Wang
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Yanhong Zeng
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Chenhui Ding
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Bin Cai
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Baomin Lu
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Rong Li
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Yan Xu
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Yanwen Xu
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Canquan Zhou
- Center for Reproductive Medicine and Department of Gynecology & Obstetrics, First Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
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31
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Zhang S, Lei C, Wu J, Zhou J, Sun H, Fu J, Sun Y, Sun X, Lu D, Zhang Y. The establishment and application of preimplantation genetic haplotyping in embryo diagnosis for reciprocal and Robertsonian translocation carriers. BMC Med Genomics 2017; 10:60. [PMID: 29041973 PMCID: PMC5646120 DOI: 10.1186/s12920-017-0294-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Accepted: 10/02/2017] [Indexed: 01/11/2023] Open
Abstract
Background Preimplantation genetic diagnosis (PGD) is now widely used to select embryos free of chromosomal copy number variations (CNV) from chromosome balanced translocation carriers. However, it remains a difficulty to distinguish in embryos between balanced and structurally normal chromosomes efficiently. Methods For this purpose, genome wide preimplantation genetic haplotyping (PGH) analysis was utilized based on single nucleotide polymorphism (SNP) microarray. SNPs that are heterozygous in the carrier and, homozygous in the carrier’s partner and carrier’s family member are defined as informative SNPs. The haplotypes including the breakpoint regions, the whole chromosomes involved in the translocation and the corresponding homologous chromosomes are established with these informative SNPs in the couple, reference and embryos. In order to perform this analysis, a reference either a translocation carrier’s family member or one unbalanced embryo is required. The positions of translocation breakpoints are identified by molecular karyotypes of unbalanced embryos. The recombination of breakpoint regions in embryos could be identified. Results Eleven translocation families were enrolled. 68 blastocysts were analyzed, in which 42 were unbalanced or aneuploid and the other 26 were balanced or normal chromosomes. Thirteen embryos were transferred back to patients. Prenatal cytogenetic analysis of amniotic fluid cells was performed. The results predicted by PGH and karyotypes were totally consistent. Conclusions With the successful clinical application, we demonstrate that PGH was a simple, efficient, and popularized method to distinguish between balanced and structurally normal chromosome embryos. Electronic supplementary material The online version of this article (10.1186/s12920-017-0294-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China.,Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 2005 Songhu Rd, Shanghai, 200438, China
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China.,Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China
| | - Junping Wu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China.,Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China
| | - Jing Zhou
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China
| | - Haiyan Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China
| | - Jing Fu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China.,Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China
| | - Yijuan Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China. .,Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China.
| | - Daru Lu
- Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, 2005 Songhu Rd, Shanghai, 200438, China.
| | - Yueping Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China. .,Obstetrics and Gynecology Hospital, Fudan University, 588 Fangxie Rd, Shanghai, 200011, China.
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Mapping allele with resolved carrier status of Robertsonian and reciprocal translocation in human preimplantation embryos. Proc Natl Acad Sci U S A 2017; 114:E8695-E8702. [PMID: 28973897 DOI: 10.1073/pnas.1715053114] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Reciprocal translocations (RecT) and Robertsonian translocations (RobT) are among the most common chromosomal abnormalities that cause infertility and birth defects. Preimplantation genetic testing for aneuploidy using comprehensive chromosome screening for in vitro fertilization enables embryo selection with balanced chromosomal ploidy; however, it is normally unable to determine whether an embryo is a translocation carrier. Here we report a method named "Mapping Allele with Resolved Carrier Status" (MaReCs), which enables chromosomal ploidy screening and resolution of the translocation carrier status of the same embryo. We performed MaReCs on 108 embryos, of which 96 were from 13 RecT carriers and 12 were from three RobT carriers. Thirteen of the sixteen patients had at least one diploid embryo. We have confirmed the accuracy of our carrier status determination in amniotic fluid karyotyping of seven cases as well as in the live birth we have thus far. Therefore, MaReCs accurately enables the selection of translocation-free embryos from patients carrying chromosomal translocations. We expect MaReCs will help reduce the propagation of RecT/RobT in the human population.
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33
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Diagnosis of parental balanced reciprocal translocations by trophectoderm biopsy and comprehensive chromosomal screening. J Assist Reprod Genet 2017; 35:165-169. [PMID: 28900794 DOI: 10.1007/s10815-017-1042-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 09/05/2017] [Indexed: 10/18/2022] Open
Abstract
PURPOSE This study investigates a case series of eight couples who underwent trophectoderm (TE) biopsy and comprehensive chromosomal screening (CCS) for routine aneuploidy screening and were found to have CCS results concerning for previously undetected parental balanced reciprocal translocations. METHODS In each case, controlled ovarian hyperstimulation and in vitro fertilization (IVF) yielded multiple blastocysts that each underwent CCS with high-density oligonucleotide microarray comparative genomic hybridization (aCGH). RESULTS Parental translocations were suspected based on the finding of identical break point mutations in multiple embryos from each couple. Confirmation of these suspected translocations within blastocysts was performed with next-generation sequencing (NGS). Subsequent parental karyotypic evaluation resulted in a diagnosis of parental balanced reciprocal translocation in each case. CONCLUSIONS We demonstrated that high-resolution aCGH and NGS on TE biopsies can accurately detect parental reciprocal translocations when previously unrecognized.
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Treff NR, Zimmerman RS. Advances in Preimplantation Genetic Testing for Monogenic Disease and Aneuploidy. Annu Rev Genomics Hum Genet 2017; 18:189-200. [DOI: 10.1146/annurev-genom-091416-035508] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Nathan R. Treff
- Reproductive Medicine Associates of New Jersey, Basking Ridge, New Jersey 07920
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Preferential selection and transfer of euploid noncarrier embryos in preimplantation genetic diagnosis cycles for reciprocal translocations. Fertil Steril 2017; 108:620-627.e4. [PMID: 28863935 DOI: 10.1016/j.fertnstert.2017.07.010] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 06/16/2017] [Accepted: 07/12/2017] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To develop and validate a new strategy to distinguish between balanced/euploid carrier and noncarrier embryos in preimplantation genetic diagnosis (PGD) cycles for reciprocal translocations and to successfully achieve a live birth after selective transfer of a noncarrier embryo. DESIGN Retrospective and prospective study. SETTING In vitro fertilization (IVF) units. PATIENT(S) Eleven patients undergoing mate pair sequencing for identification of translocation breakpoints, followed by clinical PGD cycles. INTERVENTION(S) Embryo biopsy with 24-chromosome testing to determine carrier status of balanced/euploid embryos. MAIN OUTCOME MEASURE(S) Definition of translocation breakpoints and polymerase chain reaction (PCR) diagnostic primers, correct diagnosis of euploid embryos for carrier status, and a live birth with a normal karyotype after transfer of a noncarrier embryo. RESULT(S) In 9 of 11 patients (82%), translocation breakpoints were successfully identified. In four patients with a term PGD pregnancy established with a balanced/euploid embryo of unknown carrier status, the correct carrier status was retrospectively determined, matching with the cytogenetic karyotype of the resulting newborns. In a prospective PGD cycle undertaken by a patient with a 46,XY,t(7;14)(q22;q24.3) translocation, the four balanced/euploid embryos identified comprised three carriers and one noncarrier. Transfer of the noncarrier embryo resulted in birth of a healthy girl who was subsequently confirmed with a normal 46,XX karyotype. CONCLUSION(S) The combination of mate pair sequencing and PCR breakpoint analysis of balanced reciprocal translocation derivatives is a novel, reliable, and accurate strategy for distinguishing between carrier and noncarrier balanced/euploid embryos. The method has potential application in clinical PGD cycles for patients with reciprocal translocations or other structural rearrangements.
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36
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Evaluation of comprehensive chromosome screening platforms for the detection of mosaic segmental aneuploidy. J Assist Reprod Genet 2017; 34:975-981. [PMID: 28577183 PMCID: PMC5533675 DOI: 10.1007/s10815-017-0924-4] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 04/11/2017] [Indexed: 11/01/2022] Open
Abstract
PURPOSE A subset of preimplantation embryos identified as euploid may in fact possess both whole and sub-chromosomal mosaicism, raising concerns regarding the predictive value of current comprehensive chromosome screening (CCS) methods utilizing a single biopsy. Current CCS methods may be capable of detecting sub-chromosomal mosaicism in a trophectoderm biopsy by examining intermediate levels of segmental aneuploidy within a biopsy. This study evaluates the sensitivity and specificity of segmental aneuploidy detection by three commercially available CCS platforms utilizing a cell line mixture model of segmental mosaicism in a six-cell trophectoderm biopsy. METHODS Two cell lines with known karyotypes were obtained and mixed together at specific ratios of six total cells (0:6, 1:5, 2:4, 3:3, 4:2, 5:1, and 6:0). A female cell line containing a 16.2 Mb deletion on chromosome 5 and a male cell line containing a 25.5 Mb deletion on chromosome 4 were used to create mixtures at each level. Six replicates of each mixture were prepared, randomized, and blinded for analysis by one of the three CCS platforms (SNP-array, VeriSeq NGS, or NexCCS). Sensitivity and specificity of segmental aneuploidy at each level of mosaicism was determined and compared between each platform. Additionally, an alternative VeriSeq NGS analysis method utilizing previously published criteria was evaluated. RESULTS Examination of the default settings of each platform revealed that the sensitivity was significantly different between NexCCS and SNP up to 50% mosaicism, custom VeriSeq, and SNP-array up to 66% mosaicism, and between NexCCS and custom VeriSeq up to 50% mosaicism. However, no statistical difference was observed in mixtures with >50% mosaicism with any platform. No comparison was made between default VeriSeq, as it does not report segmental imbalances. Furthermore, while the use of previously published criteria for VeriSeq NGS significantly increased sensitivity at low levels of mosaicism, a significant decrease in specificity was observed (66% false positive prediction of segmental aneuploidy). CONCLUSION These results demonstrate the potential of NGS-based detection methods to detect segmental mosaicism within a biopsy. However, these data also demonstrate that a balance between sensitivity and specificity should be more carefully considered. These results emphasize the importance of vigorous preclinical evaluation of new testing criteria prior to clinical implementation providing a point of departure for further algorithm development and improved detection of mosaicism within preimplantation embryos.
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Sermon K. Novel technologies emerging for preimplantation genetic diagnosis and preimplantation genetic testing for aneuploidy. Expert Rev Mol Diagn 2016; 17:71-82. [PMID: 27855520 DOI: 10.1080/14737159.2017.1262261] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Preimplantation genetic diagnosis (PGD) was introduced as an alternative to prenatal diagnosis: embryos cultured in vitro were analysed for a monogenic disease and only disease-free embryos were transferred to the mother, to avoid the termination of pregnancy with an affected foetus. It soon transpired that human embryos show a great deal of acquired chromosomal abnormalities, thought to explain the low success rate of IVF - hence preimplantation genetic testing for aneuploidy (PGT-A) was developed to select euploid embryos for transfer. Areas covered: PGD has followed the tremendous evolution in genetic analysis, with only a slight delay due to adaptations for diagnosis on small samples. Currently, next generation sequencing combining chromosome with single-base pair analysis is on the verge of becoming the golden standard in PGD and PGT-A. Papers highlighting the different steps in the evolution of PGD/PGT-A were selected. Expert commentary: Different methodologies used in PGD/PGT-A with their pros and cons are discussed.
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Affiliation(s)
- Karen Sermon
- a Research Group Reproduction and Genetics , Vrije Universiteit Brussel , Brussels , Belgium
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38
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Hu L, Cheng D, Gong F, Lu C, Tan Y, Luo K, Wu X, He W, Xie P, Feng T, Yang K, Lu G, Lin G. Reciprocal Translocation Carrier Diagnosis in Preimplantation Human Embryos. EBioMedicine 2016; 14:139-147. [PMID: 27840008 PMCID: PMC5161423 DOI: 10.1016/j.ebiom.2016.11.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 11/01/2016] [Accepted: 11/04/2016] [Indexed: 12/31/2022] Open
Abstract
Preimplantation genetic diagnosis (PGD) is widely applied in reciprocal translocation carriers to increase the chance for a successful live birth. However, reciprocal translocation carrier embryos were seldom discriminated from the normal ones mainly due to the technique restriction. Here we established a clinical applicable approach to identify precise breakpoint of reciprocal translocation and to further distinguish normal embryos in PGD. In the preclinical phase, rearrangement breakpoints and adjacent single nucleotide polymorphisms (SNPs) were characterized by next-generation sequencing following microdissecting junction region (MicroSeq) from 8 reciprocal translocation carriers. Junction-spanning PCR and sequencing further discovered precise breakpoints. The precise breakpoints were identified in 7/8 patients and we revealed that translocations in 6 patients caused 9 gene disruptions. In the clinical phase of embryo analysis, informative SNPs were chosen for linkage analyses combined with PCR analysis of the breakpoints to identify the carrier embryos. From 15 blastocysts diagnosed to be chromosomal balanced, 13 blastocysts were identified to be carriers and 2 to be normal. Late prenatal diagnoses for five carriers and one normal fetus confirmed the carrier diagnosis results. Our results suggest that MicroSeq can accurately evaluate the genetic risk of translocation carriers and carrier screen is possible in later PGD treatment.
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Affiliation(s)
- Liang Hu
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China; National Engineering and Research Center of Human Stem Cells, Changsha 410013, China
| | - Dehua Cheng
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Fei Gong
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Changfu Lu
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Yueqiu Tan
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China; National Engineering and Research Center of Human Stem Cells, Changsha 410013, China
| | - Keli Luo
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Xianhong Wu
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China
| | - Wenbing He
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China
| | - Pingyuan Xie
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; National Engineering and Research Center of Human Stem Cells, Changsha 410013, China
| | - Tao Feng
- Peking Jabrehoo Med Tech., Ltd., Beijing 100089, China
| | - Kai Yang
- Peking Jabrehoo Med Tech., Ltd., Beijing 100089, China
| | - Guangxiu Lu
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China; National Engineering and Research Center of Human Stem Cells, Changsha 410013, China
| | - Ge Lin
- Institute of Reproduction and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410078, China; Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410008, China; National Engineering and Research Center of Human Stem Cells, Changsha 410013, China.
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39
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Treff NR, Franasiak JM. Detection of segmental aneuploidy and mosaicism in the human preimplantation embryo: technical considerations and limitations. Fertil Steril 2016; 107:27-31. [PMID: 27816233 DOI: 10.1016/j.fertnstert.2016.09.039] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 09/19/2016] [Accepted: 09/21/2016] [Indexed: 01/12/2023]
Abstract
Whole-chromosome aneuploidy screening has become a common practice to improve outcomes and decrease embryonic transfer order in patients undergoing treatment for infertility through in vitro fertilization. Despite implementation of this powerful technology, a significant percentage of euploid embryos fail to result in successful deliveries. As technology has evolved, detection of subchromosomal imbalances and embryonic mosaicism has become possible, and these serve as potential explanations for euploid embryo transfer failures. Cases involving a parent with a balanced translocation provide a unique opportunity to characterize the capabilities and limitations of detecting segmental imbalances with a variety chromosome screening platforms. Adaptation of these methods to de novo imbalances now represent an ongoing challenge in the field of preimplantation genetic screening as additional factors including mosaicism, clinical predictive value, and distinguishing true imbalances from technical artifacts must be more carefully considered.
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Affiliation(s)
- Nathan R Treff
- Reproductive Medicine Associates of New Jersey, Basking Ridge, New Jersey; Thomas Jefferson University, Philadelphia, Pennsylvania.
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40
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Translocations, inversions and other chromosome rearrangements. Fertil Steril 2016; 107:19-26. [PMID: 27793378 DOI: 10.1016/j.fertnstert.2016.10.013] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 10/06/2016] [Accepted: 10/07/2016] [Indexed: 01/14/2023]
Abstract
Chromosomal rearrangements have long been known to significantly impact fertility and miscarriage risk. Advancements in molecular diagnostics are challenging contemporary clinicians and patients in accurately characterizing the reproductive risk of a given abnormality. Initial attempts at preimplantation genetic diagnosis were limited by the inability to simultaneously evaluate aneuploidy and missed up to 70% of aneuploidy in chromosomes unrelated to the rearrangement. Contemporary platforms are more accurate and less susceptible to technical errors. These techniques also offer the ability to improve outcomes through diagnosis of uniparental disomy and may soon be able to consistently distinguish between normal and balanced translocation karyotypes. Although an accurate projection of the anticipated number of unbalanced embryos is not possible at present, confirmation of normal/balanced status results in high pregnancy rates (PRs) and diagnostic accuracy.
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