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Fabiani M, Margiotti K, Libotte F, Alì C, Zangheri C, Barone MA, Viola A, Cima A, Buonomo G, Cristofano D, Lippa A, Pasquale C, Montanino Oliva M, Mesoraca A, Giorlandino C. Uniparental disomy (UPD) exclusion in embryos following Preimplantation Genetic Testing for Structural Rearrangements (PGT-SR). J Assist Reprod Genet 2025; 42:265-273. [PMID: 39693035 PMCID: PMC11805737 DOI: 10.1007/s10815-024-03352-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Accepted: 12/10/2024] [Indexed: 12/19/2024] Open
Abstract
PURPOSE Uniparental disomy (UPD) is a genetic condition which both copies of a chromosome are inherited from a single parent, potentially leading to imprinting disorders. This study aimed to assess the integration of Short Tandem Repeat (STR) analysis into Preimplantation Genetic Testing for Structural Rearrangements (PGT-SR) to assess UPD risk and its impact on selecting euploid embryos for embryo transfer in couples with chromosomal translocations involving imprinted chromosomes. METHODS This study evaluated three couples carrying balanced chromosomal translocations: 45,XX,der(13;14)(q10;q10), 46,XX,t(10;11)(q22;q13), and 45,XY,der(14;15)(q10;q10). STR analysis was performed on trophectoderm (TE) biopsies after Whole Genome Amplification (WGA) after PGT-SR analysis using parental blood samples to assess UPD risk in euploid embryos. Haplotyping was conducted with five to six STR markers specific to each rearranged chromosome to detect UPD in euploid embryos. RESULTS Of the four embryos analyzed across the three families, two couples had euploid embryos that tested negative for UPD. These embryos were successfully transferred, resulting in the birth of two healthy children. In the third family, the euploid embryo also tested negative for UPD but failed to implant after transfer, resulting in no pregnancy. DISCUSSION Despite its rarity, UPD involving imprinted chromosomes poses significant clinical risks, as seen in disorders such as Prader-Willi syndrome and Angelman syndrome. This study highlights the importance of integrating UPD screening into PGT-SR protocols, to detect both heterodisomic and isodisomic UPD events minimizing the risk of severe genetic disorders. CONCLUSION Integrating STR-based UPD screening within PGT-SR workflows is a reliable and cost-effective strategy that enhances embryo selection and mitigates the risk of imprinting disorders. This approach improves reproductive outcomes for families with chromosomal rearrangements, offering a practical advancement in assisted reproduction.
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Affiliation(s)
- Marco Fabiani
- Department of Human Genetic, Altamedica, Rome, Italy.
| | | | | | - Chiara Alì
- Department of Human Genetic, Altamedica, Rome, Italy
| | | | | | | | | | - Giovanna Buonomo
- Department of Reproductive Medicine, Altamedica, Fetal-Maternal Medical Centre, Rome, Italy
| | - Danilo Cristofano
- Department of Reproductive Medicine, Altamedica, Fetal-Maternal Medical Centre, Rome, Italy
| | - Assunta Lippa
- Department of Reproductive Medicine, Altamedica, Fetal-Maternal Medical Centre, Rome, Italy
| | - Chiara Pasquale
- Department of Reproductive Medicine, Altamedica, Fetal-Maternal Medical Centre, Rome, Italy
| | - Mario Montanino Oliva
- Department of Reproductive Medicine, Altamedica, Fetal-Maternal Medical Centre, Rome, Italy
| | | | - Claudio Giorlandino
- Department of Human Genetic, Altamedica, Rome, Italy
- Department of Reproductive Medicine, Altamedica, Fetal-Maternal Medical Centre, Rome, Italy
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Liu D, Chen C, Huang Q, Dong Y, Xu L, Dong M, Zhu Z, Huang L, Wang F, Zhang L, Zhang X, Liu F. Preimplantation genetic testing for complex chromosomal rearrangements: clinical outcomes and potential risk factors. Front Genet 2024; 15:1401549. [PMID: 39139821 PMCID: PMC11320417 DOI: 10.3389/fgene.2024.1401549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 07/09/2024] [Indexed: 08/15/2024] Open
Abstract
Objective Complex chromosome rearrangements (CCR) are rare structural abnormalities involving at least three breakpoints, categorized into three types based on their structure: type A (three-way rearrangements), type B (double two-way translocations), and type C (exceptional CCR). However, thus far, limited data exists on preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) in CCR carriers. This study aims to evaluate the clinical outcomes and influencing factors of PGT-SR in couples with CCR. Methods Fifteen couples with unique CCR recruited from 793 couples following PGT-SR between January 2017 and May 2023. In addition, a total of 54 CCR cases, 39 previously reported as well as 15 newly added, were included in the analysis of factors associate with normal/balanced embryos. Results A total of 100 blastocysts were biopsied and analyzed in 15 CCR couples after 17 PGT-SR cycles, with 16.0% being euploid, 78.0% aneuploid and 6.0% mosaic. 11 normal/balanced embryos and one mosaic embryo were transferred, resulting in eight live births. Furthermore, based on the combined data from 54 CCR carriers, the proportion of normal/balanced embryos was 10.8%, with a significant decrease observed among female carriers compared to male heterozygotes (6.5% vs. 15.5%, p = 0.002). Type B exhibited the lowest rate of euploid embryos at only 6.7%, followed by type A at 11.6% and type C at 14.0%, although the differences were not significant (p = 0.182). After completing the multivariate generalized estimating equation (GEE) analysis, type B (p = 0.014) and female carrier (p = 0.002) were identified as independent risk factors for fewer euploid embryos. Conclusion The occurrence of balanced CCR in patients with reproductive abnormalities may be more frequent than we expected. Despite the proportion of normal/balanced embryos being significantly low, which can be influenced by CCR type and carrier's sex, PGT-SR may improve the reproductive outcomes among CCR cases. These findings can optimize the clinical management and genetic counseling of CCR carriers seeking assisted reproductive technology (ART).
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Xiqian Zhang
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
| | - Fenghua Liu
- Reproductive Medical Center, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China
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Xie P, Hu X, Kong L, Mao Y, Cheng D, Kang K, Dai J, Zhao D, Zhang Y, Lu N, Wan Z, Du R, Xiong B, Zhang J, Tan Y, Lu G, Gong F, Lin G, Liang B, Du J, Hu L. A novel multifunctional haplotyping-based preimplantation genetic testing for different genetic conditions. Hum Reprod 2022; 37:2546-2559. [PMID: 36066440 DOI: 10.1093/humrep/deac190] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 07/24/2022] [Indexed: 11/13/2022] Open
Abstract
STUDY QUESTION Is there an efficient and cost-effective detection platform for different genetic conditions about embryos? SUMMARY ANSWER A multifunctional haplotyping-based preimplantation genetic testing platform was provided for detecting different genetic conditions. WHAT IS KNOWN ALREADY Genetic disease and chromosomal rearrangement have been known to significantly impact fertility and development. Therefore, preimplantation genetic testing for aneuploidy (PGT-A), monogenic disorders (PGT-M) and structural rearrangements (PGT-SR), a part of ART, has been presented together to minimize the fetal genetic risk and increase pregnancy rate. For patients or their families who are suffering from chromosome abnormality, monogenic disease, unexplained repeated spontaneous abortion or implantation failure, after accepting genetic counseling, they may be suggested to accept detection from more than one PGT platforms about the embryos to avoid some genetic diseases. However, PGT platforms work through different workflows. The high costliness, lack of material and long-time operation of combined PGT platforms limit their application. STUDY DESIGN, SIZE, DURATION All 188 embryonic samples from 43 families were tested with HaploPGT platform, and most of their genetic abnormalities had been determined by different conventional PGT methods beforehand. Among them, there were 12 families only carrying structural rearrangements (115 embryos) in which 9 families accepted implantation and 5 families had normal labor ART outcomes, 7 families only carrying monogenic diseases (26 embryos) and 3 families carrying both structural rearrangements and monogenic diseases (26 embryos). Twelve monopronucleated zygotes (1PN) samples and 9 suspected triploid samples were collected from 21 families. PARTICIPANTS/MATERIALS, SETTINGS, METHODS Here, we raised a comprehensive PGT method called HaploPGT, combining reduced representation genome sequencing, read-count analysis, B allele frequency and haplotyping analysis, to simultaneously detect different genetic disorders in one single test. MAIN RESULTS AND THE ROLE OF CHANCE With 80 million reads (80M) genomic data, the proportion of windows (1 million base pairs (Mb)) containing two or more informative single nucleotide polymorphism (SNP) sites was 97.81%, meanwhile the genotyping error rate stabilized at a low level (2.19%). Furthermore, the informative SNPs were equally distributed across the genome, and whole-genomic haplotyping was established. Therefore, 80M was chosen to balance the cost and accuracy in HaploPGT. HaploPGT was able to identify abnormal embryos with triploid, global and partial loss of heterozygosity, and even to distinguish parental origin of copy number variation in mosaic and non-mosaic embryos. Besides, by retrospectively analyzing 188 embryonic samples from 43 families, HaploPGT revealed 100% concordance with the available results obtained from reference methods, including PGT-A, PGT-M, PGT-SR and PGT-HLA. LIMITATIONS, REASON FOR CAUTION Despite the numerous benefits HaploPGT could bring, it still required additional family members to deduce the parental haplotype for identifying balanced translocation and monogenic mutation in tested embryos. In terms of PGT-SR, the additional family member could be a reference embryo with unbalanced translocation. For PGT-M, a proband was normally required. In both cases, genomic information from grandparents or parental siblings might help for haplotyping theoretically. Another restriction was that haploid, and diploid resulting from the duplication of a haploid, could not be told apart by HaploPGT, but it was able to recognize partial loss of heterozygosity in the embryonic genome. In addition, it should be noted that the location of rearrangement breakpoints and the situation of mutation sites were complicated, which meant that partial genetic disorders might not be completely detected. WIDER IMPLICATIONS OF THE FINDINGS HaploPGT is an efficient and cost-effective detection platform with high clinical value for detecting genetic status. This platform could promote the application of PGT in ART, to increase pregnancy rate and decrease the birth of children with genetic diseases. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by grants from the National Natural Science Foundation of China (81873478, to L.H.), National Key R&D Program of China (2018YFC1003100, to L.H.), the Natural Science Foundation of Hunan Province (Grant 2022JJ30414, to P.X.), Hunan Provincial Grant for Innovative Province Construction (2019SK4012) and the Scientific Research Foundation of Reproductive and Genetic Hospital of China International Trust & Investment Corporation (CITIC)-Xiangya (YNXM-201910). Haplotyping analysis has been licensed to Basecare Co., Ltd. L.K., Y.M., K.K., D.Z., N.L., J.Z. and R.D. are Basecare Co., Ltd employees. The other authors declare no competing interests. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Pingyuan Xie
- Genetic Department, Hunan Normal University School of Medicine, Changsha, Hunan, China.,Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China
| | - Xiao Hu
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China
| | | | - Yan Mao
- Basecare Medical Device Co., Ltd, Suzhou, China
| | - Dehua Cheng
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China
| | - Kai Kang
- Basecare Medical Device Co., Ltd, Suzhou, China
| | - Jing Dai
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China
| | | | - Yi Zhang
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China
| | - Naru Lu
- Basecare Medical Device Co., Ltd, Suzhou, China
| | - Zhenxing Wan
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China
| | - Renqian Du
- Basecare Medical Device Co., Ltd, Suzhou, China
| | - Bo Xiong
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China
| | - Jun Zhang
- Basecare Medical Device Co., Ltd, Suzhou, China
| | - Yueqiu Tan
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China.,Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China.,Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Guangxiu Lu
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China.,Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China.,Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Fei Gong
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China.,Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China.,Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Ge Lin
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China.,Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China.,Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Bo Liang
- 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, Shanghai, China
| | - Juan Du
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China.,Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China.,Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Liang Hu
- Genetic Department, National Engineering and Research Center of Human Stem Cells, Changsha, China.,Genetic Department, Hunan International Scientific and Technological Cooperation Base of Development and carcinogenesis, Changsha, Hunan, China.,Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-XIANGYA, Changsha, Hunan, China.,Institute of Reproductive and Stem Cell Engineering, NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, China
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