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Capalbo A, de Wert G, Mertes H, Klausner L, Coonen E, Spinella F, Van de Velde H, Viville S, Sermon K, Vermeulen N, Lencz T, Carmi S. Screening embryos for polygenic disease risk: a review of epidemiological, clinical, and ethical considerations. Hum Reprod Update 2024:dmae012. [PMID: 38805697 DOI: 10.1093/humupd/dmae012] [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: 01/10/2024] [Revised: 03/25/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND The genetic composition of embryos generated by in vitro fertilization (IVF) can be examined with preimplantation genetic testing (PGT). Until recently, PGT was limited to detecting single-gene, high-risk pathogenic variants, large structural variants, and aneuploidy. Recent advances have made genome-wide genotyping of IVF embryos feasible and affordable, raising the possibility of screening embryos for their risk of polygenic diseases such as breast cancer, hypertension, diabetes, or schizophrenia. Despite a heated debate around this new technology, called polygenic embryo screening (PES; also PGT-P), it is already available to IVF patients in some countries. Several articles have studied epidemiological, clinical, and ethical perspectives on PES; however, a comprehensive, principled review of this emerging field is missing. OBJECTIVE AND RATIONALE This review has four main goals. First, given the interdisciplinary nature of PES studies, we aim to provide a self-contained educational background about PES to reproductive specialists interested in the subject. Second, we provide a comprehensive and critical review of arguments for and against the introduction of PES, crystallizing and prioritizing the key issues. We also cover the attitudes of IVF patients, clinicians, and the public towards PES. Third, we distinguish between possible future groups of PES patients, highlighting the benefits and harms pertaining to each group. Finally, our review, which is supported by ESHRE, is intended to aid healthcare professionals and policymakers in decision-making regarding whether to introduce PES in the clinic, and if so, how, and to whom. SEARCH METHODS We searched for PubMed-indexed articles published between 1/1/2003 and 1/3/2024 using the terms 'polygenic embryo screening', 'polygenic preimplantation', and 'PGT-P'. We limited the review to primary research papers in English whose main focus was PES for medical conditions. We also included papers that did not appear in the search but were deemed relevant. OUTCOMES The main theoretical benefit of PES is a reduction in lifetime polygenic disease risk for children born after screening. The magnitude of the risk reduction has been predicted based on statistical modelling, simulations, and sibling pair analyses. Results based on all methods suggest that under the best-case scenario, large relative risk reductions are possible for one or more diseases. However, as these models abstract several practical limitations, the realized benefits may be smaller, particularly due to a limited number of embryos and unclear future accuracy of the risk estimates. PES may negatively impact patients and their future children, as well as society. The main personal harms are an unindicated IVF treatment, a possible reduction in IVF success rates, and patient confusion, incomplete counselling, and choice overload. The main possible societal harms include discarded embryos, an increasing demand for 'designer babies', overemphasis of the genetic determinants of disease, unequal access, and lower utility in people of non-European ancestries. Benefits and harms will vary across the main potential patient groups, comprising patients already requiring IVF, fertile people with a history of a severe polygenic disease, and fertile healthy people. In the United States, the attitudes of IVF patients and the public towards PES seem positive, while healthcare professionals are cautious, sceptical about clinical utility, and concerned about patient counselling. WIDER IMPLICATIONS The theoretical potential of PES to reduce risk across multiple polygenic diseases requires further research into its benefits and harms. Given the large number of practical limitations and possible harms, particularly unnecessary IVF treatments and discarded viable embryos, PES should be offered only within a research context before further clarity is achieved regarding its balance of benefits and harms. The gap in attitudes between healthcare professionals and the public needs to be narrowed by expanding public and patient education and providing resources for informative and unbiased genetic counselling.
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Affiliation(s)
- Antonio Capalbo
- Juno Genetics, Department of Reproductive Genetics, Rome, Italy
- Center for Advanced Studies and Technology (CAST), Department of Medical Genetics, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Guido de Wert
- Department of Health, Ethics & Society, CAPHRI-School for Public Health and Primary Care and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Heidi Mertes
- Department of Philosophy and Moral Sciences, Ghent University, Ghent, Belgium
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Liraz Klausner
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Edith Coonen
- Departments of Clinical Genetics and Reproductive Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- School for Oncology and Developmental Biology, GROW, Maastricht University, Maastricht, The Netherlands
| | - Francesca Spinella
- Eurofins GENOMA Group Srl, Molecular Genetics Laboratories, Department of Scientific Communication, Rome, Italy
| | - Hilde Van de Velde
- Research Group Genetics Reproduction and Development (GRAD), Vrije Universiteit Brussel, Brussel, Belgium
- Brussels IVF, UZ Brussel, Brussel, Belgium
| | - Stephane Viville
- Laboratoire de Génétique Médicale LGM, Institut de Génétique Médicale d'Alsace IGMA, INSERM UMR 1112, Université de Strasbourg, France
- Laboratoire de Diagnostic Génétique, Unité de Génétique de l'infertilité (UF3472), Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Karen Sermon
- Research Group Genetics Reproduction and Development (GRAD), Vrije Universiteit Brussel, Brussel, Belgium
| | | | - Todd Lencz
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Departments of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
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Tian Y, Li M, Yang J, Chen H, Lu D. Preimplantation genetic testing in the current era, a review. Arch Gynecol Obstet 2024; 309:1787-1799. [PMID: 38376520 DOI: 10.1007/s00404-024-07370-z] [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: 08/27/2023] [Accepted: 01/02/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND Preimplantation genetic testing (PGT), also referred to as preimplantation genetic diagnosis (PGD), is an advanced reproductive technology used during in vitro fertilization (IVF) cycles to identify genetic abnormalities in embryos prior to their implantation. PGT is used to screen embryos for chromosomal abnormalities, monogenic disorders, and structural rearrangements. DEVELOPMENT OF PGT Over the past few decades, PGT has undergone tremendous development, resulting in three primary forms: PGT-A, PGT-M, and PGT-SR. PGT-A is utilized for screening embryos for aneuploidies, PGT-M is used to detect disorders caused by a single gene, and PGT-SR is used to detect chromosomal abnormalities caused by structural rearrangements in the genome. PURPOSE OF REVIEW In this review, we thoroughly summarized and reviewed PGT and discussed its pros and cons down to the minutest aspects. Additionally, recent studies that highlight the advancements of PGT in the current era, including their future perspectives, were reviewed. CONCLUSIONS This comprehensive review aims to provide new insights into the understanding of techniques used in PGT, thereby contributing to the field of reproductive genetics.
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Affiliation(s)
- Yafei Tian
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China
- MOE Engineering Research Center of Gene Technology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200433, China
| | - Mingan Li
- Center for Reproductive Medicine, The Affiliated Shuyang Hospital of Xuzhou Medical University, Suqian, 223800, Jiangsu Province, China
| | - Jingmin Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China
- NHC Key Laboratory of Birth Defects and Reproductive Health, (Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning Science and Technology Research Institute), Chongqing, 400020, China
| | - Hongyan Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Daru Lu
- MOE Engineering Research Center of Gene Technology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200433, China.
- NHC Key Laboratory of Birth Defects and Reproductive Health, (Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning Science and Technology Research Institute), Chongqing, 400020, China.
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Backenroth D, Altarescu G, Zahdeh F, Mann T, Murik O, Renbaum P, Segel R, Zeligson S, Hakam-Spector E, Carmi S, Zeevi DA. SHaploseek is a sequencing-only, high-resolution method for comprehensive preimplantation genetic testing. Sci Rep 2023; 13:18036. [PMID: 37865712 PMCID: PMC10590366 DOI: 10.1038/s41598-023-45292-z] [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: 06/15/2023] [Accepted: 10/18/2023] [Indexed: 10/23/2023] Open
Abstract
Recent advances in genomic technologies expand the scope and efficiency of preimplantation genetic testing (PGT). We previously developed Haploseek, a clinically-validated, variant-agnostic comprehensive PGT solution. Haploseek is based on microarray genotyping of the embryo's parents and relatives, combined with low-pass sequencing of the embryos. Here, to increase throughput and versatility, we aimed to develop a sequencing-only implementation of Haploseek. Accordingly, we developed SHaploseek, a universal PGT method to determine genome-wide haplotypes of each embryo based on low-pass (≤ 5x) sequencing of the parents and relative(s) along with ultra-low-pass (0.2-0.4x) sequencing of the embryos. We used SHaploseek to analyze five single lymphoblast cells and 31 embryos. We validated the genome-wide haplotype predictions against either bulk DNA, Haploseek, or, at focal genomic sites, PCR-based PGT results. SHaploseek achieved > 99% concordance with bulk DNA in two families from which single cells were derived from grown-up children. In embryos from 12 PGT families, all of SHaploseek's focal site haplotype predictions were concordant with clinical PCR-based PGT results. Genome-wide, there was > 99% median concordance between Haploseek and SHaploseek's haplotype predictions. Concordance remained high at all assayed sequencing depths ≥ 2x, as well as with only 1ng of parental DNA input. In subtelomeric regions, significantly more haplotype predictions were high-confidence in SHaploseek compared to Haploseek. In summary, SHaploseek constitutes a single-platform, accurate, and cost-effective comprehensive PGT solution.
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Affiliation(s)
- Daniel Backenroth
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Gheona Altarescu
- PGT Unit, Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, Israel
- Faculty of Medicine, Hebrew University, Jerusalem, Israel
| | - Fouad Zahdeh
- Translational Genomics Lab, Medical Genetics Institute, Shaare Zedek Medical Center, Bayit Str. 12, P.O.Box 3235, 91031, Jerusalem, Israel
| | - Tzvia Mann
- Translational Genomics Lab, Medical Genetics Institute, Shaare Zedek Medical Center, Bayit Str. 12, P.O.Box 3235, 91031, Jerusalem, Israel
| | - Omer Murik
- Translational Genomics Lab, Medical Genetics Institute, Shaare Zedek Medical Center, Bayit Str. 12, P.O.Box 3235, 91031, Jerusalem, Israel
| | - Paul Renbaum
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Reeval Segel
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Sharon Zeligson
- Medical Genetics Institute, Shaare Zedek Medical Center, Jerusalem, Israel
| | | | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - David A Zeevi
- Translational Genomics Lab, Medical Genetics Institute, Shaare Zedek Medical Center, Bayit Str. 12, P.O.Box 3235, 91031, Jerusalem, Israel.
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Chen D, Xu Y, Fu Y, Wang Y, Liu Y, Ding C, Cai B, Pan J, Wang J, Li R, Guo J, Zhang H, Zeng Y, Shen X, Zhou C. Clinical application of next generation sequencing-based haplotype linkage analysis in the preimplantation genetic testing for germline mosaicisms. Orphanet J Rare Dis 2023; 18:137. [PMID: 37270548 DOI: 10.1186/s13023-023-02736-z] [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: 03/29/2022] [Accepted: 05/18/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Preimplantation genetic testing (PGT) for monogenic disorders (PGT-M) for germline mosaicism was previously highly dependent on polymerase chain reaction (PCR)-based directed mutation detection combined with linkage analysis of short tandem repeats (STRs). However, the number of STRs is usually limited. In addition, designing suitable probes and optimizing the reaction conditions for multiplex PCR are time-consuming and laborious. Here, we evaluated the effectiveness of next generation sequencing (NGS)-based haplotype linkage analysis in PGT of germline mosaicism. METHODS PGT-M with NGS-based haplotype linkage analysis was performed for two families with maternal germline mosaicism for an X-linked Duchenne muscular dystrophy (DMD) mutation (del exon 45-50) or an autosomal TSC1 mutation (c.2074C > T). Trophectoderm biopsy and multiple displacement amplification (MDA) were performed for a total of nine blastocysts. NGS and Sanger sequencing were performed in genomic DNA of family members and embryonic MDA products to detect DMD deletion and TSC1 mutation, respectively. Single nucleotide polymorphism (SNP) sites closely linked to pathogenic mutations were detected with NGS and served in haplotype linkage analysis. NGS-based aneuploidy screening was performed for all embryos to reduce the risk of pregnancy loss. RESULTS All nine blastocytes showed conclusive PGT results. Each family underwent one or two frozen-thawed embryo transfer cycles to obtain a clinical pregnancy, and the prenatal diagnosis showed that the fetus was genotypically normal and euploid for both families. CONCLUSIONS NGS-SNP could effectively realize PGT for germline mosaicism. Compared with PCR-based methods, the NGS-SNP method with increased polymorphic informative markers can achieve a greater diagnostic accuracy. Further studies are warranted to verify the effectiveness of NGS-based PGT of germline mosaicism cases in the absence of surviving offsprings.
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Affiliation(s)
- Dongjia Chen
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Yan Xu
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Yu Fu
- The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, 570102, China
| | - Yali Wang
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Yuliang Liu
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Chenhui Ding
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Bing Cai
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Jiafu Pan
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Jing Wang
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Rong Li
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Jing Guo
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Han Zhang
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Yanhong Zeng
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China
| | - Xiaoting Shen
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China.
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Canquan Zhou
- The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, China.
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, China.
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Tsuiko O, El Ayeb Y, Jatsenko T, Allemeersch J, Melotte C, Ding J, Debrock S, Peeraer K, Vanhie A, De Leener A, Pirard C, Kluyskens C, Denayer E, Legius E, Vermeesch JR, Brems H, Dimitriadou E. Preclinical workup using long-read amplicon sequencing provides families with de novo pathogenic variants access to universal preimplantation genetic testing. Hum Reprod 2023; 38:511-519. [PMID: 36625546 DOI: 10.1093/humrep/deac273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/16/2022] [Indexed: 01/11/2023] Open
Abstract
STUDY QUESTION Can long-read amplicon sequencing be beneficial for preclinical preimplantation genetic testing (PGT) workup in couples with a de novo pathogenic variant in one of the prospective parents? SUMMARY ANSWER Long-read amplicon sequencing represents a simple, rapid and cost-effective preclinical PGT workup strategy that provides couples with de novo pathogenic variants access to universal genome-wide haplotyping-based PGT programs. WHAT IS KNOWN ALREADY Universal PGT combines genome-wide haplotyping and copy number profiling to select embryos devoid of both familial pathogenic variants and aneuploidies. However, it cannot be directly applied in couples with a de novo pathogenic variant in one of the partners due to the absence of affected family members required for phasing the disease-associated haplotype. STUDY DESIGN, SIZE, DURATION This is a prospective study, which includes 32 families that were enrolled in the universal PGT program at the University Hospital of Leuven between 2018 and 2022. We implemented long-read amplicon sequencing during the preclinical PGT workup to deduce the parental origin of the disease-associated allele in the affected partner, which can then be traced in embryos during clinical universal PGT cycles. PARTICIPANTS/MATERIALS, SETTING, METHODS To identify the parental origin of the disease-associated allele, genomic DNA from the carrier of the de novo pathogenic variant and his/her parent(s) was used for preclinical PGT workup. Primers flanking the de novo variant upstream and downstream were designed for each family. Following long-range PCR, amplicons that ranged 5-10 kb in size, were sequenced using Pacific Bioscience and/or Oxford Nanopore platforms. Next, targeted variant calling and haplotyping were performed to identify parental informative single-nucleotide variants (iSNVs) linked to the de novo mutation. Following the preclinical PGT workup, universal PGT via genome-wide haplotyping was performed for couples who proceeded with clinical PGT cycle. In parallel, 13 trophectoderm (TE) biopsies from three families that were analyzed by universal PGT, were also used for long-read amplicon sequencing to explore this approach for embryo direct mutation detection coupled with targeted long-read haplotyping. MAIN RESULTS AND THE ROLE OF CHANCE The parental origin of the mutant allele was identified in 24/32 affected individuals during the preclinical PGT workup stage, resulting in a 75% success rate. On average, 5.95 iSNVs (SD = 4.5) were detected per locus of interest, and the average distance of closest iSNV to the de novo variant was ∼1750 bp. In 75% of those cases (18/24), the de novo mutation occurred on the paternal allele. In the remaining eight families, the risk haplotype could not be established due to the absence of iSNVs linked to the mutation or inability to successfully target the region of interest. During the time of the study, 12/24 successfully analyzed couples entered the universal PGT program, and three disease-free children have been born. In parallel to universal PGT analysis, long-read amplicon sequencing of 13 TE biopsies was also performed, confirming the segregation of parental alleles in the embryo and the results of the universal PGT. LIMITATIONS, REASONS FOR CAUTION The main limitation of this approach is that it remains targeted with the need to design locus-specific primers. Because of the restricted size of target amplicons, the region of interest may also remain non-informative in the absence of iSNVs. WIDER IMPLICATIONS OF THE FINDINGS Targeted haplotyping via long-read amplicon sequencing, particularly using Oxford Nanopore Technologies, provides a valuable alternative for couples with de novo pathogenic variants that allows access to universal PGT. Moreover, the same approach can be used for direct mutation analysis in embryos, as a second line confirmation of the preclinical PGT result or as a potential alternative PGT procedure in couples, where additional family members are not available. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by KU Leuven funding (no. C1/018 to J.R.V.) and Fonds Wetenschappelijk Onderzoek (1241121N to O.T.). J.R.V. is co-inventor of a patent ZL910050-PCT/EP2011/060211-WO/2011/157846 'Methods for haplotyping single-cells' and ZL913096-PCT/EP2014/068315-WO/2015/028576 'Haplotyping and copy number typing using polymorphic variant allelic frequencies' licensed to Agilent Technologies. All other authors have no conflict of interest to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Olga Tsuiko
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium.,Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Yasmine El Ayeb
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Tatjana Jatsenko
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Joke Allemeersch
- Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Cindy Melotte
- Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Jia Ding
- Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Sophie Debrock
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, Belgium
| | - Karen Peeraer
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, Belgium
| | - Arne Vanhie
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, Belgium
| | - Anne De Leener
- Centre for Human Genetics, Cliniques Universitaires Saint Luc, UCLouvain, Brussels, Belgium
| | - Céline Pirard
- Department of Gynaecology, Cliniques Universitaires Saint Luc, UCLouvain, Brussels, Belgium
| | - Candice Kluyskens
- Department of Gynaecology, Cliniques Universitaires Saint Luc, UCLouvain, Brussels, Belgium
| | - Ellen Denayer
- Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Eric Legius
- Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Joris Robert Vermeesch
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, Belgium.,Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
| | - Hilde Brems
- Centre for Human Genetics, University Hospitals Leuven, Leuven, Belgium
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Yang L, Xu Y, Xia J, Yan H, Ding C, Shi Q, Wu Y, Liu P, Pan J, Zeng Y, Zhang Y, Chen F, Jiang H, Xu Y, Li W, Zhou C, Gao Y. Simultaneous detection of genomic imbalance in patients receiving preimplantation genetic testing for monogenic diseases (PGT-M). Front Genet 2022; 13:976131. [PMID: 36246639 PMCID: PMC9559864 DOI: 10.3389/fgene.2022.976131] [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: 07/15/2022] [Accepted: 08/31/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Preimplantation genetic test for monogenic disorders (PGT-M) has been used to select genetic disease-free embryos for implantation during in vitro fertilization (IVF) treatment. However, embryos tested by PGT-M have risks of harboring chromosomal aneuploidy. Hence, a universal method to detect monogenic diseases and genomic imbalances is required. Methods: Here, we report a novel PGT-A/M procedure allowing simultaneous detection of monogenic diseases and genomic imbalances in one experiment. Library was prepared in a special way that multiplex polymerase chain reaction (PCR) was integrated into the process of whole genome amplification. The resulting library was used for one-step low-pass whole genome sequencing (WGS) and high-depth target enrichment sequencing (TES). Results: The TAGs-seq PGT-A/M was first validated with genomic DNA (gDNA) and the multiple displacement amplification (MDA) products of a cell line. Over 90% of sequencing reads covered the whole-genome region with around 0.3–0.4 × depth, while around 5.4%–7.3% of reads covered target genes with >10000 × depth. Then, for clinical validation, 54 embryos from 8 women receiving PGT-M of β-thalassemia were tested by the TAGs-seq PGT-A/M. In each embryo, an average of 20.0 million reads with 0.3 × depth of the whole-genome region was analyzed for genomic imbalance, while an average of 0.9 million reads with 11260.0 × depth of the target gene HBB were analyzed for β-thalassemia. Eventually, 18 embryos were identified with genomic imbalance with 81.1% consistency to karyomapping results. 10 embryos contained β-thalassemia with 100% consistency to conventional PGT-M method. Conclusion: TAGs-seq PGT-A/M simultaneously detected genomic imbalance and monogenic disease in embryos without dramatic increase of sequencing data output.
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Affiliation(s)
- Lin Yang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | - Yan Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jun Xia
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- BGI-Shenzhen, Shenzhen, China
| | | | - Chenhui Ding
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | | | | | | | - Jiafu Pan
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yanhong Zeng
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | | | | | | | - Yanwen Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Yanwen Xu, ; Wei Li, ; Canquan Zhou, ; Ya Gao,
| | - Wei Li
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Hebei Industrial Technology Research Institute of Genomics in Maternal and Child Health, Shijiazhuang, China
- *Correspondence: Yanwen Xu, ; Wei Li, ; Canquan Zhou, ; Ya Gao,
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Reproductive Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Yanwen Xu, ; Wei Li, ; Canquan Zhou, ; Ya Gao,
| | - Ya Gao
- BGI-Shenzhen, Shenzhen, China
- Shenzhen Engineering Laboratory for Birth Defects Screening, Shenzhen, China
- *Correspondence: Yanwen Xu, ; Wei Li, ; Canquan Zhou, ; Ya Gao,
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van Dijk W, Derks K, Drüsedau M, Meekels J, Koeck R, Essers R, Dreesen J, Coonen E, de Die-Smulders C, Stevens SJC, Brunner HG, van den Wijngaard A, Paulussen ADC, Zamani Esteki M. Embryo tracking system for high-throughput sequencing-based preimplantation genetic testing. Hum Reprod 2022; 37:2700-2708. [PMID: 36149256 PMCID: PMC9627733 DOI: 10.1093/humrep/deac208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 09/01/2022] [Indexed: 12/05/2022] Open
Abstract
STUDY QUESTION Can the embryo tracking system (ETS) increase safety, efficacy and scalability of massively parallel sequencing-based preimplantation genetic testing (PGT)? SUMMARY ANSWER Applying ETS-PGT, the chance of sample switching is decreased, while scalability and efficacy could easily be increased substantially. WHAT IS KNOWN ALREADY Although state-of-the-art sequencing-based PGT methods made a paradigm shift in PGT, they still require labor intensive library preparation steps that makes PGT cost prohibitive and poses risks of human errors. To increase the quality assurance, efficiency, robustness and throughput of the sequencing-based assays, barcoded DNA fragments have been used in several aspects of next-generation sequencing (NGS) approach. STUDY DESIGN, SIZE, DURATION We developed an ETS that substantially alleviates the complexity of the current sequencing-based PGT. With (n = 693) and without (n = 192) ETS, the downstream PGT procedure was performed on both bulk DNA samples (n = 563) and whole-genome amplified (WGAed) few-cell DNA samples (n = 322). Subsequently, we compared full genome haplotype landscapes of both WGAed and bulk DNA samples containing ETS or no ETS. PARTICIPANTS/MATERIALS, SETTING, METHODS We have devised an ETS to track embryos right after whole-genome amplification (WGA) to full genome haplotype profiles. In this study, we recruited 322 WGAed DNA samples derived from IVF embryos as well as 563 bulk DNA isolated from peripheral blood of prospective parents. To determine possible interference of the ETS in the NGS-based PGT workflow, barcoded DNA fragments were added to DNA samples prior to library preparation and compared to samples without ETS. Coverages and variants were determined. MAIN RESULTS AND THE ROLE OF CHANCE Current PGT protocols are quality sensitive and prone to sample switching. To avoid sample switching and increase throughput of PGT by sequencing-based haplotyping, six control steps should be carried out manually and checked by a second person in a clinical setting. Here, we developed an ETS approach in which one step only in the entire PGT procedure needs the four-eyes principal. We demonstrate that ETS not only precludes error-prone manual checks but also has no effect on the genomic landscape of preimplantation embryos. Importantly, our approach increases efficacy and throughput of the state-of-the-art PGT methods. LIMITATIONS, REASONS FOR CAUTION Even though the ETS simplified sequencing-based PGT by avoiding potential errors in six steps in the protocol, if the initial assignment is not performed correctly, it could lead to cross-contamination. However, this can be detected in silico following downstream ETS analysis. Although we demonstrated an approach to evaluate purity of the ETS fragment, it is recommended to perform a pre-PGT quality control assay of the ETS amplicons with non-human DNA, such that the purity of each ETS molecule can be determined prior to ETS-PGT. WIDER IMPLICATIONS OF THE FINDINGS The ETS-PGT approach notably increases efficacy and scalability of PGT. ETS-PGT has broad applicative value, as it can be tailored to any single- and few-cell sequencing approach where the starting specimen is scarce, as opposed to other methods that require a large number of cells as the input. Moreover, ETS-PGT could easily be adapted to any sequencing-based diagnostic method, including PGT for structural rearrangements and aneuploidies by low-pass sequencing as well as non-invasive prenatal testing. STUDY FUNDING/COMPETING INTEREST(S) M.Z.E. is supported by the EVA (Erfelijkheid Voortplanting & Aanleg) specialty program (grant no. KP111513) of Maastricht University Medical Centre (MUMC+), and the Horizon 2020 innovation (ERIN) (grant no. EU952516) of the European Commission. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Wanwisa van Dijk
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
| | - Kasper Derks
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
| | - Marion Drüsedau
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
| | - Jeroen Meekels
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands
| | - Rebekka Koeck
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Rick Essers
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Joseph Dreesen
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Edith Coonen
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Center for Reproductive Medicine, Maastricht University Medical Centre+, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Christine de Die-Smulders
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Servi J C Stevens
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Han G Brunner
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Arthur van den Wijngaard
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Aimée D C Paulussen
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
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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: 5] [Impact Index Per Article: 2.5] [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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9
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Whole Genome Amplification in Preimplantation Genetic Testing in the Era of Massively Parallel Sequencing. Int J Mol Sci 2022; 23:ijms23094819. [PMID: 35563216 PMCID: PMC9102663 DOI: 10.3390/ijms23094819] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 04/24/2022] [Accepted: 04/25/2022] [Indexed: 12/16/2022] Open
Abstract
Successful whole genome amplification (WGA) is a cornerstone of contemporary preimplantation genetic testing (PGT). Choosing the most suitable WGA technique for PGT can be particularly challenging because each WGA technique performs differently in combination with different downstream processing and detection methods. The aim of this review is to provide insight into the performance and drawbacks of DOP-PCR, MDA and MALBAC, as well as the hybrid WGA techniques most widely used in PGT. As the field of PGT is moving towards a wide adaptation of comprehensive massively parallel sequencing (MPS)-based approaches, we especially focus our review on MPS parameters and detection opportunities of WGA-amplified material, i.e., mappability of reads, uniformity of coverage and its influence on copy number variation analysis, and genomic coverage and its influence on single nucleotide variation calling. The ability of MDA-based WGA solutions to better cover the targeted genome and the ability of PCR-based solutions to provide better uniformity of coverage are highlighted. While numerous comprehensive PGT solutions exploiting different WGA types and adjusted bioinformatic pipelines to detect copy number and single nucleotide changes are available, the ones exploiting MDA appear more advantageous. The opportunity to fully analyse the targeted genome is influenced by the MPS parameters themselves rather than the solely chosen WGA.
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10
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Masset H, Ding J, Dimitriadou E, Debrock S, Tšuiko O, Smits K, Peeraer K, Voet T, Zamani Esteki M, Vermeesch JR. Single-cell genome-wide concurrent haplotyping and copy-number profiling through genotyping-by-sequencing. Nucleic Acids Res 2022; 50:e63. [PMID: 35212381 PMCID: PMC9226495 DOI: 10.1093/nar/gkac134] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 01/10/2022] [Accepted: 02/11/2022] [Indexed: 02/07/2023] Open
Abstract
Single-cell whole-genome haplotyping allows simultaneous detection of haplotypes associated with monogenic diseases, chromosome copy-numbering and subsequently, has revealed mosaicism in embryos and embryonic stem cells. Methods, such as karyomapping and haplarithmisis, were deployed as a generic and genome-wide approach for preimplantation genetic testing (PGT) and are replacing traditional PGT methods. While current methods primarily rely on single-nucleotide polymorphism (SNP) array, we envision sequencing-based methods to become more accessible and cost-efficient. Here, we developed a novel sequencing-based methodology to haplotype and copy-number profile single cells. Following DNA amplification, genomic size and complexity is reduced through restriction enzyme digestion and DNA is genotyped through sequencing. This single-cell genotyping-by-sequencing (scGBS) is the input for haplarithmisis, an algorithm we previously developed for SNP array-based single-cell haplotyping. We established technical parameters and developed an analysis pipeline enabling accurate concurrent haplotyping and copy-number profiling of single cells. We demonstrate its value in human blastomere and trophectoderm samples as application for PGT for monogenic disorders. Furthermore, we demonstrate the method to work in other species through analyzing blastomeres of bovine embryos. Our scGBS method opens up the path for single-cell haplotyping of any species with diploid genomes and could make its way into the clinic as a PGT application.
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Affiliation(s)
- Heleen Masset
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | - Jia Ding
- Center of Human Genetics, University Hospitals of Leuven, Leuven, 3000, Belgium
| | | | - Sophie Debrock
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, 3000, Belgium
| | - Olga Tšuiko
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium.,Center of Human Genetics, University Hospitals of Leuven, Leuven, 3000, Belgium
| | - Katrien Smits
- Department of Internal Medicine, Reproduction and Population Medicine, Ghent University, Merelbeke, 9820, Belgium
| | - Karen Peeraer
- Leuven University Fertility Center, University Hospitals Leuven, Leuven, 3000, Belgium
| | - Thierry Voet
- Laboratory of Reproductive Genomics, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, 6202 AZ, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Joris R Vermeesch
- Laboratory for Cytogenetics and Genome Research, Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium.,Center of Human Genetics, University Hospitals of Leuven, Leuven, 3000, Belgium
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11
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Scriven PN. Carrier screening and PGT for an autosomal recessive monogenic disorder: insights from virtual trials. J Assist Reprod Genet 2022; 39:331-340. [PMID: 35048273 PMCID: PMC8956760 DOI: 10.1007/s10815-022-02398-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 01/12/2022] [Indexed: 02/03/2023] Open
Abstract
PURPOSE To assess the costs and benefits of carrier screening and preimplantation genetic testing (PGT) for recessive autosomal monogenic disorders for couples attempting assisted conception. METHODS A simulated first full cycle for women less than 35 years transferring embryos one at a time. The effect of testing on pregnancy outcomes was evaluated for different reporting scenarios. A Monte Carlo method utilising 1000 trials for 10,000 couples, testing 4, 16 and 38 genes, was used to assess the numbers likely to be at high risk and to estimate the incremental cost of screening and PGT to avoid an affected child. RESULTS PGT for high-risk couples: testing embryos only for the monogenic condition avoided 1 affected pregnancy for 4 cycles started. Combined with testing for chromosomal aneuploidy: ranking test results avoided 1 adverse pregnancy (affected, biochemical, clinical miscarriage) from 3 cycles started; 1 in 2 when excluding from transfer all embryos with an abnormal test result, within 1 in 25 fewer women achieving an unaffected live birth. Carrier screening for 4, 16 and 38 gene scenarios, where 1:250, 1:196 and 1:29 couples were at high risk: the incremental cost to prevent 1 affected live birth was estimated to be less than GBP 1,150,000 (US $1,587,000), < 836,642 (1,154,566) and < 137,794 (190,156), respectively, in 95% of trials. CONCLUSIONS Carrier screening combined with PGT, with and without testing for unrelated chromosomal abnormalities, for couples attempting assisted conception is complex but likely to be effective and also expensive.
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12
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13
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Verdyck P, Berckmoes V, Van Laere S, Keymolen K, Olsen C, De Rycke M. Analysis of parental contribution for aneuploidy detection (APCAD): a novel method to detect aneuploidy and mosaicism in preimplantation embryos. Reprod Biomed Online 2021; 44:459-468. [PMID: 34930679 DOI: 10.1016/j.rbmo.2021.10.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 10/03/2021] [Accepted: 10/29/2021] [Indexed: 12/27/2022]
Abstract
RESEARCH QUESTION Can (mosaic) aneuploidy be reliably detected in preimplantation embryos after multiple displacement amplification and single nucleotide polymorphism detection, independent of haplotyping and copy number detection, with a new method 'analysis of parental contribution for aneuploidy detection' or 'APCAD'? DESIGN This method is based on the maternal contribution, a parameter that reflects the proportion of DNA that is of maternal origin for a given chromosome or chromosome segment. A maternal contribution deviating from 50% for autosomes is strongly indicative of a (mosaic) chromosomal anomaly. The method was optimized using cell mixtures with varying ratios of euploid and aneuploid (47,XY,+21) lymphocytes. Next, the maternal contribution was retrospectively measured for all chromosomes from 349 Karyomapping samples. RESULTS Retrospective analysis showed a skewed maternal contribution (<36.4 or >63.6%) in 57 out of 59 autosome meiotic trisomies and all autosome monosomies (n = 57), with values close to theoretical expectation. Thirty-two out of 7436 chromosomes, for which no anomalies had been observed with Karyomapping, showed a similarly skewed maternal contribution. CONCLUSIONS APCAD was used to measure the maternal contribution, which is an intuitive parameter independent of copy number detection. This method is useful for detecting copy number neutral anomalies and can confirm diagnosis of (mosaic) aneuploidy detected based on copy number. Mosaic and complete aneuploidy can be distinguished and the parent of origin for (mosaic) chromosome anomalies can be determined. Because of these benefits, the APCAD method has the potential to improve aneuploidy detection carried out by comprehensive preimplantation genetic testing methods.
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Affiliation(s)
- Pieter Verdyck
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium.
| | - Veerle Berckmoes
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium
| | - Sven Van Laere
- Vrije Universiteit Brussel (VUB), Interfaculty Center Data Processing and Statistics, Laarbeeklaan 103, Brussels 1090, Belgium
| | - Kathelijn Keymolen
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium
| | - Catharina Olsen
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium; Brussels Interuniversity Genomics High Throughput core (BRIGHTcore), VUB-ULB, Laarbeeklaan 101, Brussels 1090, Belgium
| | - Martine De Rycke
- Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Centrum Medische Genetica, Laarbeeklaan 101, Brussels 1090, Belgium
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14
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Schobers G, Koeck R, Pellaers D, Stevens SJC, Macville MVE, Paulussen ADC, Coonen E, van den Wijngaard A, de Die-Smulders C, de Wert G, Brunner HG, Zamani Esteki M. Liquid biopsy: state of reproductive medicine and beyond. Hum Reprod 2021; 36:2824-2839. [PMID: 34562078 PMCID: PMC8523207 DOI: 10.1093/humrep/deab206] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 08/06/2021] [Indexed: 01/23/2023] Open
Abstract
Liquid biopsy is the process of sampling and analyzing body fluids, which enables non-invasive monitoring of complex biological systems in vivo. Liquid biopsy has myriad applications in health and disease as a wide variety of components, ranging from circulating cells to cell-free nucleic acid molecules, can be analyzed. Here, we review different components of liquid biopsy, survey state-of-the-art, non-invasive methods for detecting those components, demonstrate their clinical applications and discuss ethical considerations. Furthermore, we emphasize the importance of artificial intelligence in analyzing liquid biopsy data with the aim of developing ethically-responsible non-invasive technologies that can enhance individualized healthcare. While previous reviews have mainly focused on cancer, this review primarily highlights applications of liquid biopsy in reproductive medicine.
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Affiliation(s)
- Gaby Schobers
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rebekka Koeck
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Dominique Pellaers
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Servi J C Stevens
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Merryn V E Macville
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Aimée D C Paulussen
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Edith Coonen
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Center for Reproductive Medicine, Maastricht University Medical Centre+, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Arthur van den Wijngaard
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Christine de Die-Smulders
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Guido de Wert
- Faculty of Health, Medicine and Life Sciences, Department of Health, Ethics and Society, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Han G Brunner
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Masoud Zamani Esteki
- Department of Clinical Genetics, Maastricht University Medical Centre+, Maastricht, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
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15
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Lencz T, Backenroth D, Granot-Hershkovitz E, Green A, Gettler K, Cho JH, Weissbrod O, Zuk O, Carmi S. Utility of polygenic embryo screening for disease depends on the selection strategy. eLife 2021; 10:e64716. [PMID: 34635206 PMCID: PMC8510582 DOI: 10.7554/elife.64716] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 08/09/2021] [Indexed: 12/13/2022] Open
Abstract
Polygenic risk scores (PRSs) have been offered since 2019 to screen in vitro fertilization embryos for genetic liability to adult diseases, despite a lack of comprehensive modeling of expected outcomes. Here we predict, based on the liability threshold model, the expected reduction in complex disease risk following polygenic embryo screening for a single disease. A strong determinant of the potential utility of such screening is the selection strategy, a factor that has not been previously studied. When only embryos with a very high PRS are excluded, the achieved risk reduction is minimal. In contrast, selecting the embryo with the lowest PRS can lead to substantial relative risk reductions, given a sufficient number of viable embryos. We systematically examine the impact of several factors on the utility of screening, including: variance explained by the PRS, number of embryos, disease prevalence, parental PRSs, and parental disease status. We consider both relative and absolute risk reductions, as well as population-averaged and per-couple risk reductions, and also examine the risk of pleiotropic effects. Finally, we confirm our theoretical predictions by simulating 'virtual' couples and offspring based on real genomes from schizophrenia and Crohn's disease case-control studies. We discuss the assumptions and limitations of our model, as well as the potential emerging ethical concerns.
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Affiliation(s)
- Todd Lencz
- Departments of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/NorthwellHempsteadUnited States
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell HealthGlen OaksUnited States
- Institute for Behavioral Science, The Feinstein Institutes for Medical ResearchManhassetUnited States
| | - Daniel Backenroth
- Braun School of Public Health and Community Medicine, The Hebrew University of JerusalemJerusalemIsrael
| | - Einat Granot-Hershkovitz
- Braun School of Public Health and Community Medicine, The Hebrew University of JerusalemJerusalemIsrael
| | - Adam Green
- Braun School of Public Health and Community Medicine, The Hebrew University of JerusalemJerusalemIsrael
| | - Kyle Gettler
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Judy H Cho
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
- Department of Medicine, Icahn School of Medicine at Mount SinaiNew YorkUnited States
| | - Omer Weissbrod
- Department of Epidemiology, Harvard T.H. Chan School of Public HealthBostonUnited States
| | - Or Zuk
- Department of Statistics and Data Science, The Hebrew University of JerusalemJerusalemIsrael
| | - Shai Carmi
- Braun School of Public Health and Community Medicine, The Hebrew University of JerusalemJerusalemIsrael
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16
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Zhang S, Lei C, Wu J, Xiao M, Zhou J, Zhu S, Fu J, Lu D, Sun X, Xu C. A comprehensive and universal approach for embryo testing in patients with different genetic disorders. Clin Transl Med 2021; 11:e490. [PMID: 34323405 PMCID: PMC8265165 DOI: 10.1002/ctm2.490] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 06/01/2021] [Accepted: 06/20/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND In vitro fertilization (IVF) with preimplantation genetic testing (PGT) has markedly improved clinical pregnancy outcomes for carriers of gene mutations or chromosomal structural rearrangements by the selection of embryos free of disease-causing genes and chromosome abnormalities. However, for detecting whole or segmental chromosome aneuploidies, gene variants or balanced chromosome rearrangements in the same embryo require separate procedures, and none of the existing detection platforms is universal for all patients with different genetic disorders. METHODS Here, we report a cost-effective, family-based haplotype phasing approach that can simultaneously evaluate multiple genetic variants, including monogenic disorders, aneuploidy, and balanced chromosome rearrangements in the same embryo with a single test. A total of 12 monogenic diseases carrier couples and either of them carried chromosomal rearrangements were enrolled simultaneously in this present study. Genome-wide genotyping was performed with single-nucleotide polymorphism (SNP)-array, and aneuploidies were analyzed through SNP allele frequency and Log R ratio. Parental haplotypes were phased by an available genotype from a close relative, and the embryonic genome-wide haplotypes were determined through family haplotype linkage analysis (FHLA). Disease-causing genes and chromosomal rearrangements were detected by haplotypes located within the 2 Mb region covering the targeted genes or breakpoint regions. RESULTS Twelve blastocysts were thawed, and then transferred into the uterus of female patients. Nine pregnancies had reached the second trimester and five healthy babies have been born. Fetus validation results, performed with the amniotic fluid or umbilical cord blood samples, were consistent with those at the blastocyst stage diagnosed by PGT. CONCLUSIONS We demonstrate that SNP-based FHLA enables the accurate genetic detection of a wide spectrum of monogenic diseases and chromosome abnormalities in embryos, preventing the transfer of parental genetic abnormalities to the fetus. This method can be implemented as a universal platform for embryo testing in patients with different genetic disorders.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Junping Wu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Min Xiao
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Jing Zhou
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Saijuan Zhu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Jing Fu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Daru Lu
- State Key Laboratory of Genetic Engineering, School of Life ScienceFudan UniversityShanghaiChina
- NHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family PlanningScience and Technology Research InstituteChongqingChina
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
- Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
- Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology HospitalFudan UniversityShanghaiChina
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17
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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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18
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Ding J, Dimitriadou E, Tšuiko O, Destouni A, Melotte C, Van Den Bogaert K, Debrock S, Jatsenko T, Esteki MZ, Voet T, Peeraer K, Denayer E, Vermeesch JR. Identity-by-state-based haplotyping expands the application of comprehensive preimplantation genetic testing. Hum Reprod 2021; 35:718-726. [PMID: 32198505 DOI: 10.1093/humrep/dez285] [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] [Received: 09/26/2019] [Revised: 11/27/2019] [Accepted: 12/06/2019] [Indexed: 11/14/2022] Open
Abstract
STUDY QUESTION Is it possible to haplotype parents using parental siblings to leverage preimplantation genetic testing (PGT) for monogenic diseases and aneuploidy (comprehensive PGT) by genome-wide haplotyping? SUMMARY ANSWER We imputed identity-by-state (IBS) sharing of parental siblings to phase parental genotypes. WHAT IS KNOWN ALREADY Genome-wide haplotyping of preimplantation embryos is being implemented as a generic approach for genetic diagnosis of inherited single-gene disorders. To enable the phasing of genotypes into haplotypes, genotyping the direct family members of the prospective parent carrying the mutation is required. Current approaches require genotypes of either (i) both or one of the parents of the affected prospective parent or (ii) an affected or an unaffected child of the couple. However, this approach cannot be used when parents or children are not attainable, prompting an investigation into alternative phasing options. STUDY DESIGN, SIZE, DURATION This is a retrospective validation study, which applied IBS-based phasing of parental haplotypes in 56 embryos derived from 12 PGT families. Genome-wide haplotypes and copy number profiles generated for each embryo using the new phasing approach were compared with the reference PGT method to evaluate the diagnostic concordance. PARTICIPANTS/MATERIALS, SETTING, METHODS This study included 12 couples with a known hereditary genetic disorder, participating in the comprehensive PGT program and with at least one parental sibling available (e.g. brother and/or sister). Genotyping data from both prospective parents and the parental sibling(s) were used to perform IBS-based phasing and to trace the disease-associated alleles. The outcome of the IBS-based PGT was compared with the results of the clinically implemented reference haplotyping-based PGT method. MAIN RESULTS AND THE ROLE OF CHANCE IBS-based haplotyping was performed for 12 PGT families. In accordance with the theoretical prediction of allele sharing between sibling pairs, 6 out of 12 (50%) couples or 23 out of 56 embryos could be phased using parental siblings. In families where phasing was possible, haplotype calling in the locus of interest was 100% concordant between the reference PGT method and IBS-based approach using parental siblings. LARGE SCALE DATA N/A. LIMITATIONS, REASONS FOR CAUTION Phasing of parental haplotypes will only be possible when the disease locus lies in an informative region (categorized as IBS1). Phasing prospective parents using relatives with reduced genetic relatedness as a reference (e.g. siblings) decreases the size and the occurrence of informative IBS1 regions, necessary for haplotype calling. By including more than one extended family member, the chance of obtaining IBS1 coverage in the interrogated locus can be increased. A pre-PGT work-up can define whether the carrier couple could benefit from this approach. WIDER IMPLICATIONS OF THE FINDINGS Phasing by relatives extends the potential of comprehensive PGT, since it allows the inclusion of couples who do not have access to the standard phasing references, such as parents or offspring. STUDY FUNDING/COMPETING INTEREST(S) The study was funded by the KU Leuven grant (C14/18/092), Research Foundation Flanders (FWO; GA09311N), Horizon 2020 innovation programme (WIDENLIFE, 692065) and Agilent Technologies. J.R.V., T.V. and M.Z.E. are co-inventors of a patent ZL910050-PCT/EP2011/060211-WO/2011/157846 'Methods for haplotyping single-cells' and ZL913096-PCT/EP2014/068315-WO/2015/028576 'Haplotyping and copy number typing using polymorphic variant allelic frequencies' licensed to Agilent Technologies. The other authors have no conflict of interest to declare.
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Affiliation(s)
- Jia Ding
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium
| | - Eftychia Dimitriadou
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium
| | - Olga Tšuiko
- Laboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Aspasia Destouni
- Laboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU Leuven, Leuven 3000, Belgium.,Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803 USA.,Department of Comparative Biomedical Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, LA 70803, USA
| | - Cindy Melotte
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium
| | - Kris Van Den Bogaert
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium
| | - Sophie Debrock
- Leuven University Fertility Center, University Hospitals Leuven, Leuven 3000, Belgium
| | - Tatjana Jatsenko
- Laboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Masoud Zamani Esteki
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium.,Department of Clinical Genetics, Maastricht University Medical Centre, Maastricht 6229 HX, The Netherlands.,Department of Genetics and Cell Biology, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands
| | - Thierry Voet
- Laboratory of Reproductive Genomics, Centre for Human Genetics, KU Leuven, Leuven 3000, Belgium
| | - Karen Peeraer
- Leuven University Fertility Center, University Hospitals Leuven, Leuven 3000, Belgium
| | - Ellen Denayer
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium
| | - Joris Robert Vermeesch
- Department of Human Genetics, Centre for Human Genetics, University Hospitals Leuven, Leuven 3000, Belgium.,Laboratory of Cytogenetics and Genome Research, Centre for Human Genetics, KU Leuven, Leuven 3000, Belgium
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19
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Expanded clinical validation of Haploseek for comprehensive preimplantation genetic testing. Genet Med 2021; 23:1334-1340. [PMID: 33772222 DOI: 10.1038/s41436-021-01145-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/01/2021] [Accepted: 03/03/2021] [Indexed: 11/08/2022] Open
Abstract
PURPOSE We previously developed Haploseek, a method for comprehensive preimplantation genetic testing (PGT). However, some key features were missing, and the method has not yet been systematically validated. METHODS We extended Haploseek to incorporate DNA from embryo grandparents and to allow testing of variants on chromosome X or in regions where parents share common haplotypes. We then validated Haploseek on 151 embryo biopsies from 27 clinical PGT cases. We sequenced all biopsies to low coverage (0.2×), and performed single-nucleotide polymorphism (SNP) microarray genotyping on the embryos' parents and siblings/grandparents. We used the extended Haploseek to predict chromosome copy-number variants (CNVs) and relevant variant-flanking haplotypes in each embryo. We validated haplotype predictions for each clinical sample against polymerase chain reaction (PCR)-based PGT case results, and CNV predictions against established commercial kits. RESULTS For each of the 151 embryo biopsies, all Haploseek-derived haplotypes and CNVs were concordant with clinical PGT results. The cases included 17 autosomal dominant, 5 autosomal recessive, and 3 X-linked monogenic disorders. In addition, we evaluated 1 Robertsonian and 2 reciprocal translocations, and 17 cases of chromosome copy-number counting were performed. CONCLUSION Our results demonstrate that Haploseek is clinically accurate and fit for all standard clinical PGT applications.
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20
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Chen D, Shen X, Xu Y, Ding C, Ye Q, Zhong Y, Xu Y, Zhou C. Successful four-factor preimplantation genetic testing: α- and β-thalassemia, human leukocyte antigen typing, and aneuploidy screening. Syst Biol Reprod Med 2021; 67:151-159. [PMID: 33494632 DOI: 10.1080/19396368.2020.1832158] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Our study established an effective next-generation sequencing (NGS) protocol for four-factor preimplantation genetic testing (PGT) using α- and β-thalassemia, human leukocyte antigen (HLA) typing, and aneuploidy screening. Three couples, in whom both partners were α- and β-double thalassemia carriers, underwent PGT between 2016 and 2018. These individuals sought an opportunity for hematopoietic stem cell transplantation to save their children from β-thalassemia major. A total of 35 biopsied trophectoderm samples underwent multiple displacement amplification (MDA). PGT for α- and β-thalassemia and HLA typing were performed on MDA products using NGS-based single-nucleotide polymorphism (SNP) haplotyping. Although two samples failed MDA, 94.3% (33/35) of samples were successfully amplified, achieving conclusive PGT results. Furthermore, 51.5% (17/33) of the embryos were diagnosed as unaffected non-carriers or carriers. Of the 17 unaffected embryos, nine (52.9%) were tested further and identified as euploid via NGS-based aneuploid screening, in which five had HLA types matching affected children. One family did not achieve any unaffected euploid embryos. The two other families transferred HLA-matched and unaffected euploid embryos, resulting in two healthy 'savior babies.' NGS-PGT results were confirmed in prenatal diagnosis. Therefore, NGS-SNP was effective in performing PGT for multipurpose detection within a single PGT cycle.
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Affiliation(s)
- Dongjia Chen
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Xiaoting Shen
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Yan Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Chenhui Ding
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Qingjian Ye
- Department of Gynecology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yiping Zhong
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Yanwen Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China
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21
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De Rycke M, Berckmoes V. Preimplantation Genetic Testing for Monogenic Disorders. Genes (Basel) 2020; 11:E871. [PMID: 32752000 PMCID: PMC7463885 DOI: 10.3390/genes11080871] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 07/29/2020] [Accepted: 07/29/2020] [Indexed: 12/17/2022] Open
Abstract
Preimplantation genetic testing (PGT) has evolved into a well-established alternative to invasive prenatal diagnosis, even though genetic testing of single or few cells is quite challenging. PGT-M is in theory available for any monogenic disorder for which the disease-causing locus has been unequivocally identified. In practice, the list of indications for which PGT is allowed may vary substantially from country to country, depending on PGT regulation. Technically, the switch from multiplex PCR to robust generic workflows with whole genome amplification followed by SNP array or NGS represents a major improvement of the last decade: the waiting time for the couples has been substantially reduced since the customized preclinical workup can be omitted and the workload for the laboratories has decreased. Another evolution is that the generic methods now allow for concurrent analysis of PGT-M and PGT-A. As innovative algorithms are being developed and the cost of sequencing continues to decline, the field of PGT moves forward to a sequencing-based, all-in-one solution for PGT-M, PGT-SR, and PGT-A. This will generate a vast amount of complex genetic data entailing new challenges for genetic counseling. In this review, we summarize the state-of-the-art for PGT-M and reflect on its future.
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Affiliation(s)
- Martine De Rycke
- Center for Medical Genetics, Universitair Ziekenhuis Brussel, Laarbeeklaan 101, 1090 Brussels, Belgium;
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Schofield D, Zeppel M, Staffieri S, Shrestha R, Jelovic D, Lee E, Jamieson R. Preimplantation genetic diagnosis for retinoblastoma survivors: a cost-effectiveness study. REPRODUCTIVE BIOMEDICINE & SOCIETY ONLINE 2020; 10:37-45. [PMID: 32577540 PMCID: PMC7301166 DOI: 10.1016/j.rbms.2020.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 02/17/2020] [Accepted: 03/16/2020] [Indexed: 06/11/2023]
Abstract
This study aimed to investigate the cost-effectiveness of preimplantation genetic diagnosis (PGD) for the reproductive choices of patients with heritable retinoblastoma. The study modelled the costs of three cycles of in-vitro fertilization (IVF) and PGD across all uptake rates of PGD, number of children affected with retinoblastoma at each uptake rate and the estimated quality-adjusted life years (QALYs) gained. Cost-effectiveness analysis was conducted from the Australian public healthcare perspective. The intervention was the use of three cycles (one fresh and two frozen) of IVF and PGD with the aim of live births unaffected by the retinoblastoma phenotype. Compared with the standard care pathway (i.e. natural pregnancy), IVF and PGD resulted in a cost-saving to 18 years of age of AUD$2,747,294 for a base case of 100 couples with an uptake rate of 50%. IVF and PGD resulted in fewer affected (n = 56) and unaffected (n = 78) live births compared with standard care (71 affected and 83 unaffected live births), and an additional 0.03 QALYs per live birth. This modelling suggests that the use of IVF and PGD to achieve an unaffected child for patients with heritable retinoblastoma resulted in an overall cost-saving. There was an increase in QALYs per baby across all uptake rates. However, in total, fewer babies were born following the IVF and PGD pathway.
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Affiliation(s)
- D. Schofield
- GenIMPACT, Centre for Economic Impacts of Genomic Medicine, Faculty of Business and Economics, Macquarie University, Sydney, Australia
| | - M.J.B. Zeppel
- GenIMPACT, Centre for Economic Impacts of Genomic Medicine, Faculty of Business and Economics, Macquarie University, Sydney, Australia
| | - S. Staffieri
- Department of Ophthalmology, Royal Children's Hospital, Parkville, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia
- Ophthalmology, University of Melbourne, Department of Surgery, East Melbourne, Australia
| | - R.N. Shrestha
- GenIMPACT, Centre for Economic Impacts of Genomic Medicine, Faculty of Business and Economics, Macquarie University, Sydney, Australia
| | - D. Jelovic
- Eye Genetics Research Unit, The Children’s Hospital at Westmead, Children’s Medical Research Institute, Save Sight Institute, University of Sydney, Sydney, Australia
- Discipline of Genomic Medicine, The Children’s Hospital at Westmead Clinical School, University of Sydney, Sydney, Australia
- Department of Clinical Genetics, Western Sydney Genetics Program, The Children’s Hospital at Westmead, Sydney Children’s Hospitals Network, Sydney, Australia
| | - E. Lee
- GenIMPACT, Centre for Economic Impacts of Genomic Medicine, Faculty of Business and Economics, Macquarie University, Sydney, Australia
| | - R.V. Jamieson
- Eye Genetics Research Unit, The Children’s Hospital at Westmead, Children’s Medical Research Institute, Save Sight Institute, University of Sydney, Sydney, Australia
- Discipline of Genomic Medicine, The Children’s Hospital at Westmead Clinical School, University of Sydney, Sydney, Australia
- Department of Clinical Genetics, Western Sydney Genetics Program, The Children’s Hospital at Westmead, Sydney Children’s Hospitals Network, Sydney, Australia
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Brown S. Identity-by-state analysis: a new method for PGT-M. Hum Reprod 2020; 35:485-487. [PMID: 32198500 DOI: 10.1093/humrep/deaa011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Indexed: 01/10/2023] Open
Affiliation(s)
- Stephen Brown
- Department of Obstetrics, Gynecology and Reproductive Science, University of Vermont, Larner College of Medicine, Burlington, VT, USA
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Whole genome analysis identifies the association of TP53 genomic deletions with lower survival in Stage III colorectal cancer. Sci Rep 2020; 10:5009. [PMID: 32193467 PMCID: PMC7081316 DOI: 10.1038/s41598-020-61643-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 02/19/2020] [Indexed: 11/13/2022] Open
Abstract
DNA copy number aberrations (CNA) are frequently observed in colorectal cancers (CRC). There is an urgent need for CNA-based biomarkers in clinics,. n For Stage III CRC, if combined with imaging or pathologic evidence, these markers promise more precise care. We conducted this Stage III specific biomarker discovery with a cohort of 134 CRCs, and with a newly developed high-efficiency CNA profiling protocol. Specifically, we developed the profiling protocol for tumor-normal matched tissue samples based on low-coverage clinical whole-genome sequencing (WGS). We demonstrated the protocol’s accuracy and robustness by a systematic benchmark with microarray, high-coverage whole-exome and -genome approaches, where the low-coverage WGS-derived CNA segments were highly accordant (PCC >0.95) with those derived from microarray, and they were substantially less variable if compared to exome-derived segments. A lasso-based model and multivariate cox regression analysis identified a chromosome 17p loss, containing the TP53 tumor suppressor gene, that was significantly associated with reduced survival (P = 0.0139, HR = 1.688, 95% CI = [1.112–2.562]), which was validated by an independent cohort of 187 Stage III CRCs. In summary, this low-coverage WGS protocol has high sensitivity, high resolution and low cost and the identified 17p-loss is an effective poor prognosis marker for Stage III patients.
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Chen D, Shen X, Wu C, Xu Y, Ding C, Zhang G, Xu Y, Zhou C. Eleven healthy live births: a result of simultaneous preimplantation genetic testing of α- and β-double thalassemia and aneuploidy screening. J Assist Reprod Genet 2020; 37:549-557. [PMID: 32152910 DOI: 10.1007/s10815-020-01732-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 02/28/2020] [Indexed: 11/28/2022] Open
Abstract
PURPOSE To evaluate the efficacy of preimplantation genetic testing (PGT) for α- and β-double thalassemia combined with aneuploidy screening using next-generation sequencing (NGS). METHODS An NGS-based PGT protocol was performed between 2017 and 2018 for twelve couples, each of which carried both α- and β-thalassemia mutations. Trophectoderm biopsy samples underwent whole-genome amplification using multiple displacement amplification (MDA), followed by NGS for thalassemia detection and aneuploidy screening. A selection of several informative single nucleotide polymorphisms (SNPs) established haplotypes. Aneuploidy screening was performed only on unaffected noncarriers and carriers. Unaffected and euploid embryos were transferred into the uterus through frozen-thawed embryo transfer (FET). RESULTS A total of 280 oocytes were retrieved following 18 ovum pick-up (OPU) cycles, with 182 normally fertilized and 112 cultured to become blastocysts. One hundred and seven (95.5%, 107/112) blastocysts received conclusive PGT results, showing 56 (52.3%, 56/107) were unaffected. Thirty-seven (66.1%, 37/56) of the unaffected were also identified as euploid. One family had no transferable embryos. Unaffected and euploid embryos were then transferred into the uterus of the other 11 couples resulting in 11 healthy live births. The clinical pregnancy rate was 61.1% (11/18) per OPU and 68.8% (11/16) per FET, with no miscarriage reported. Seven families accepted the prenatal diagnosis and received consistent results with the NGS-based PGT. CONCLUSION This study indicated that NGS could realize the simultaneous PGT of double thalassemia and aneuploidy screening in a reliable and accurate manner. Moreover, it eliminated the need for multiple biopsies, alleviating the potential damages to the pre-implanted blastocysts.
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Affiliation(s)
- Dongjia Chen
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, Guangdong, China
| | - Xiaoting Shen
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, Guangdong, China
| | - Changsheng Wu
- Peking Medriv Academy of Genetics and Reproduction, Peking, 102629, China
| | - Yan Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, Guangdong, China
| | - Chenhui Ding
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, Guangdong, China
| | - Guirong Zhang
- Peking Medriv Academy of Genetics and Reproduction, Peking, 102629, China.
| | - Yanwen Xu
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, Guangdong, China.
| | - Canquan Zhou
- Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, 510080, Guangdong, China.
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26
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Yan Z, Zhu X, Wang Y, Nie Y, Guan S, Kuo Y, Chang D, Li R, Qiao J, Yan L. scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data. BMC Bioinformatics 2020; 21:41. [PMID: 32007105 PMCID: PMC6995221 DOI: 10.1186/s12859-020-3381-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 01/22/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Haplotyping reveals chromosome blocks inherited from parents to in vitro fertilized (IVF) embryos in preimplantation genetic diagnosis (PGD), enabling the observation of the transmission of disease alleles between generations. However, the methods of haplotyping that are suitable for single cells are limited because a whole genome amplification (WGA) process is performed before sequencing or genotyping in PGD, and true haplotype profiles of embryos need to be constructed based on genotypes that can contain many WGA artifacts. RESULTS Here, we offer scHaplotyper as a genetic diagnosis tool that reconstructs and visualizes the haplotype profiles of single cells based on the Hidden Markov Model (HMM). scHaplotyper can trace the origin of each haplotype block in the embryo, enabling the detection of carrier status of disease alleles in each embryo. We applied this method in PGD in two families affected with genetic disorders, and the result was the healthy live births of two children in the two families, demonstrating the clinical application of this method. CONCLUSION Next generation sequencing (NGS) of preimplantation embryos enable genetic screening for families with genetic disorders, avoiding the birth of affected babies. With the validation and successful clinical application, we showed that scHaplotyper is a convenient and accurate method to screen out embryos. More patients with genetic disorder will benefit from the genetic diagnosis of embryos. The source code of scHaplotyper is available at GitHub repository: https://github.com/yzqheart/scHaplotyper.
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Affiliation(s)
- Zhiqiang Yan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China
| | - Xiaohui Zhu
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Yuqian Wang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Yanli Nie
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Shuo Guan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Ying Kuo
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Di Chang
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Rong Li
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China
| | - Jie Qiao
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China.,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China.,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China.,Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, 100871, China.,Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.,Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, 100871, China
| | - Liying Yan
- Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China. .,Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing, 100191, China. .,Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproduction, Beijing, 100191, China.
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27
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Xiong L, Huang L, Tian F, Lu S, Xie XS. Bayesian model for accurate MARSALA (mutated allele revealed by sequencing with aneuploidy and linkage analyses). J Assist Reprod Genet 2019; 36:1263-1271. [PMID: 31187331 PMCID: PMC6602990 DOI: 10.1007/s10815-019-01451-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Accepted: 04/09/2019] [Indexed: 11/28/2022] Open
Abstract
Purpose This study is aimed at increasing the accuracy of preimplantation genetic test for monogenic defects (PGT-M). Methods We applied Bayesian statistics to optimize data analyses of the mutated allele revealed by sequencing with aneuploidy and linkage analyses (MARSALA) method for PGT-M. In doing so, we developed a Bayesian algorithm for linkage analyses incorporating PCR SNV detection with genome sequencing around the known mutation sites in order to determine quantitatively the probabilities of having the disease-carrying alleles from parents with monogenic diseases. Both recombination events and sequencing errors were taken into account in calculating the probability. Results Data of 28 in vitro fertilized embryos from three couples were retrieved from two published research articles by Yan et al. (Proc Natl Acad Sci. 112:15964–9, 2015) and Wilton et al. (Hum Reprod. 24:1221–8, 2009). We found the embryos deemed “normal” and selected for transfer in the previous publications were actually different in error probability of 10−4–4%. Notably, our Bayesian model reduced the error probability to 10−6–10−4%. Furthermore, a proband sample is no longer required by our new method, given a minimum of four embryos or sperm cells. Conclusion The error probability of PGT-M can be significantly reduced by using the Bayesian statistics approach, increasing the accuracy of selecting healthy embryos for transfer with or without a proband sample. Electronic supplementary material The online version of this article (10.1007/s10815-019-01451-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Luoxing Xiong
- Peking-Tsinghua Center for Life Sciences (CLS), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.,Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, 100871, China.,Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, 100871, China
| | - Lei Huang
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, 01238, USA
| | - Feng Tian
- Peking-Tsinghua Center for Life Sciences (CLS), Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, China.,Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, 100871, China.,Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, 100871, China
| | - Sijia Lu
- Yikon Genomics Co., Ltd., 1698 Wangyuan Road, Building #26, Fengxian District, Shanghai, 201400, China
| | - Xiaoliang Sunney Xie
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, 100871, China. .,Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, 100871, China. .,Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, 01238, USA.
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