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Caroselli S, Figliuzzi M, Picchetta L, Cogo F, Zambon P, Pergher I, Girardi L, Patassini C, Poli M, Bakalova D, Cimadomo D, Findikli N, Coban O, Serdarogullari M, Favero F, Bortolato S, Anastasi A, Capodanno F, Gallinelli A, Brancati F, Rienzi L, Ubaldi FM, Jimenez-Almazán J, Blesa-Jarque D, Miravet-Valenciano J, Rubio C, Simòn C, Capalbo A. Improved clinical utility of preimplantation genetic testing through the integration of ploidy and common pathogenic microdeletions analyses. Hum Reprod 2023; 38:762-775. [PMID: 36824049 DOI: 10.1093/humrep/dead033] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 01/28/2023] [Indexed: 02/25/2023] Open
Abstract
STUDY QUESTION Can chromosomal abnormalities beyond copy-number aneuploidies (i.e. ploidy level and microdeletions (MDs)) be detected using a preimplantation genetic testing (PGT) platform? SUMMARY ANSWER The proposed integrated approach accurately assesses ploidy level and the most common pathogenic microdeletions causative of genomic disorders, expanding the clinical utility of PGT. WHAT IS KNOWN ALREADY Standard methodologies employed in preimplantation genetic testing for aneuploidy (PGT-A) identify chromosomal aneuploidies but cannot determine ploidy level nor the presence of recurrent pathogenic MDs responsible for genomic disorders. Transferring embryos carrying these abnormalities can result in miscarriage, molar pregnancy, and intellectual disabilities and developmental delay in offspring. The development of a testing strategy that integrates their assessment can resolve current limitations and add valuable information regarding the genetic constitution of embryos, which is not evaluated in PGT providing new level of clinical utility and valuable knowledge for further understanding of the genomic causes of implantation failure and early pregnancy loss. To the best of our knowledge, MDs have never been studied in preimplantation human embryos up to date. STUDY DESIGN, SIZE, DURATION This is a retrospective cohort analysis including blastocyst biopsies collected between February 2018 and November 2021 at multiple collaborating IVF clinics from prospective parents of European ancestry below the age of 45, using autologous gametes and undergoing ICSI for all oocytes. Ploidy level determination was validated using 164 embryonic samples of known ploidy status (147 diploids, 9 triploids, and 8 haploids). Detection of nine common MD syndromes (-4p=Wolf-Hirschhorn, -8q=Langer-Giedion, -1p=1p36 deletion, -22q=DiGeorge, -5p=Cri-du-Chat, -15q=Prader-Willi/Angelman, -11q=Jacobsen, -17p=Smith-Magenis) was developed and tested using 28 positive controls and 97 negative controls. Later, the methodology was blindly applied in the analysis of: (i) 100 two pronuclei (2PN)-derived blastocysts that were previously defined as uniformly euploid by standard PGT-A; (ii) 99 euploid embryos whose transfer resulted in pregnancy loss. PARTICIPANTS/MATERIALS, SETTING, METHODS The methodology is based on targeted next-generation sequencing of selected polymorphisms across the genome and enriched within critical regions of included MD syndromes. Sequencing data (i.e. allelic frequencies) were analyzed by a probabilistic model which estimated the likelihood of ploidy level and MD presence, accounting for both sequencing noise and population genetics patterns (i.e. linkage disequilibrium, LD, correlations) observed in 2504 whole-genome sequencing data from the 1000 Genome Project database. Analysis of phased parental haplotypes obtained by single-nucleotide polymorphism (SNP)-array genotyping was performed to confirm the presence of MD. MAIN RESULTS AND THE ROLE OF CHANCE In the analytical validation phase, this strategy showed extremely high accuracy both in ploidy classification (100%, CI: 98.1-100%) and in the identification of six out of eight MDs (99.2%, CI: 98.5-99.8%). To improve MD detection based on loss of heterozygosity (LOH), common haploblocks were analyzed based on haplotype frequency and LOH occurrence in a reference population, thus developing two further mathematical models. As a result, chr1p36 and chr4p16.3 regions were excluded from MD identification due to their poor reliability, whilst a clinical workflow which incorporated parental DNA information was developed to enhance the identification of MDs. During the clinical application phase, one case of triploidy was detected among 2PN-derived blastocysts (i) and one pathogenic MD (-22q11.21) was retrospectively identified among the biopsy specimens of transferred embryos that resulted in miscarriage (ii). For the latter case, family-based analysis revealed the same MD in different sibling embryos (n = 2/5) from non-carrier parents, suggesting the presence of germline mosaicism in the female partner. When embryos are selected for transfer based on their genetic constitution, this strategy can identify embryos with ploidy abnormalities and/or MDs beyond aneuploidies, with an estimated incidence of 1.5% (n = 3/202, 95% CI: 0.5-4.5%) among euploid embryos. LIMITATIONS, REASONS FOR CAUTION Epidemiological studies will be required to accurately assess the incidence of ploidy alterations and MDs in preimplantation embryos and particularly in euploid miscarriages. Despite the high accuracy of the assay developed, the use of parental DNA to support diagnostic calling can further increase the precision of the assay. WIDER IMPLICATIONS OF THE FINDINGS This novel assay significantly expands the clinical utility of PGT-A by integrating the most common pathogenic MDs (both de novo and inherited ones) responsible for genomic disorders, which are usually evaluated at a later stage through invasive prenatal testing. From a basic research standpoint, this approach will help to elucidate fundamental biological and clinical questions related to the genetics of implantation failure and pregnancy loss of otherwise euploid embryos. STUDY FUNDING/COMPETING INTEREST(S) No external funding was used for this study. S.C., M.F., F.C., P.Z., I.P., L.G., C.P., M.P., D.B., J.J.-A., D.B.-J., J.M.-V., and C.R. are employees of Igenomix and C.S. is the head of the scientific board of Igenomix. A.C. and L.P. are employees of JUNO GENETICS. Igenomix and JUNO GENETICS are companies providing reproductive genetic services. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- S Caroselli
- Reproductive Genetics, Igenomix Italia, Rome, Italy
| | - M Figliuzzi
- Reproductive Genetics, Igenomix Italia, Rome, Italy
| | | | - F Cogo
- Reproductive Genetics, Igenomix Italia, Marostica, Italy
| | - P Zambon
- Reproductive Genetics, Igenomix Italia, Marostica, Italy
| | - I Pergher
- Reproductive Genetics, Igenomix Italia, Marostica, Italy
| | - L Girardi
- Reproductive Genetics, Igenomix Italia, Marostica, Italy
| | - C Patassini
- Reproductive Genetics, Igenomix Italia, Marostica, Italy
| | - M Poli
- Reproductive Genetics, Igenomix Italia, Rome, Italy
| | - D Bakalova
- Reproductive Genetics, Igenomix UK, Guildford, UK
| | - D Cimadomo
- ART Center, Clinica Valle Giulia-GeneraLife IVF, Rome, Italy
| | - N Findikli
- Embryology Laboratory, Bahceci Fulya IVF Centre, Istanbul, Turkey
| | - O Coban
- Embryology Laboratory, British Cyprus IVF Hospital, Nicosia, Cyprus
| | - M Serdarogullari
- Department of Histology and Embryology, Faculty of Medicine Cyprus International University, Nicosia, North Cyprus
| | - F Favero
- ART Center, ARC-STER, Venice, Italy
| | | | - A Anastasi
- Physiopathology of Human Reproduction Center, Hospital "del Delta", Lagosanto, Italy
| | - F Capodanno
- Physiopathology of Human Reproduction Center, Hospital "del Delta", Lagosanto, Italy
| | - A Gallinelli
- Physiopathology of Human Reproduction Center, Hospital "del Delta", Lagosanto, Italy
| | - F Brancati
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.,IRCCS San Raffaele Roma, Roma, Italy
| | - L Rienzi
- ART Center, Clinica Valle Giulia-GeneraLife IVF, Rome, Italy.,Department of Biomolecular Sciences, University of Urbino "Carlo Bo", Urbino, Italy
| | - F M Ubaldi
- ART Center, Clinica Valle Giulia-GeneraLife IVF, Rome, Italy
| | | | | | | | - C Rubio
- Reproductive Genetics, Igenomix Spain, Valencia, Spain
| | - C Simòn
- Reproductive Genetics, Igenomix Foundation, Valencia, Spain.,Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, USA.,Department of Obstetrics and Gynecology, Harvard University, Harvard School of Medicine, Boston, MA, USA.,Department of Obstetrics and Gynecology, Valencia University and INCLIVA, Valencia, Spain
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Caroselli S, Girardi L, Poli M, Cogo F, Patassini C, Pergher I, Costa M, Miravet Valenciano JA, Jimenez Almazan J, Baù D, Rubio C, Blesa Jarque D, Simòn C, Capalbo A. P-536 Pre-selected for an award: Validation of a Next Generation Sequencing (NGS) workflow integrating simultaneous analysis of ploidy, microdeletions and de novo monogenic diseases for expanded preimplantation genetic testing (PGT). Hum Reprod 2021. [DOI: 10.1093/humrep/deab125.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Study question
Can major de novo genetic and chromosomal abnormalities (i.e., ploidy, microdeletions) be effectively tested on a single embryo biopsy specimen using an integrated NGS approach?
Summary answer
The integrated NGS workflow provided high accuracy for multilevel chromosome and genetic abnormalities analysis based on single biopsies expanding PGT informativity to de novo conditions.
What is known already
Current NGS-based methodologies employed in PGT for aneuploidy (PGT-A) do not detect embryo ploidy level nor frequent pathogenic de novo microdeletions below resolution limits. Moreover, despite their considerable incidence and adverse pregnancy outcomes, de novo mutations causing severe dominant monogenic fetal structural defects (FSD) are not investigated during PGT. The development of a single biopsy specimen-based PGT-A sequencing strategy that integrates ploidy and de novo microdeletions/mutations assessment would significantly widen PGT-A diagnostic scope and technical capabilities. This comprehensive approach would provide additional valuable genetic information of unquestionable clinical utility to further refine embryo selection process among those showing euploid profiles.
Study design, size, duration
Chromosomal conditions were validated using 24 embryo rebiopsies and 5 cell lines with both known ploidy level and known microdeletions (-4p; -8q; -1p; -22q; -5p; -15q; -11q). Genotyping for monogenic conditions was validated using 5 genomic DNA samples (33pg/µl) carrying known pathogenic Single Nucleotide Variants (SNVs) in COL1A1, SOS1, PTPN11, TSC2 and FGFR2 genes. To assess technical performance across identified SNPs, genotyping accuracy was evaluated on 17 samples from 5 embryos and 2 cell lines.
Participants/materials, setting, methods
Thirty-two de novo dominant monogenic conditions with FSD and strong gene-disease relationship were tested using a multiplex PCR panel with sequencing for the genes’ whole coding region. Eight common microdeletions ( < 10Mb) syndromes (Wolf-Hirshorn, Langer-Geidion, 1p36 deletion, De George, Cri-du-Chat, Prader-Willy/Angelman, Jacobsen) were tested using B-allelic frequency (BAF) of 356 highly polymorphic Single Nucleotide Polymorphisms (SNPs). These SNPs were also used for ploidy assessment. Library preparation and sequencing were performed on the IonTorrent S5 (ThermoFisher).
Main results and the role of chance
Blinded NGS data analysis confirmed the ploidy status in all (19) samples with known constitution (8 diploids, 7 polyploids, 4 haploids). Specifically, the proportion of heterozygote calls (BAF 40%-60%) was 60.9% (95%CI:47.6-72.8) for diploid samples and < 1% for haploid samples(P < 0.001). All polyploid samples showed a typical splitting of BAF among 3 experimental ranges (20-40%,40%-60%,60-80%): 34.1%,18.2% and 47.7%, respectively. For microdeletions, all interstitial SNPs genotyped showed a loss of heterozygosity (LOH) as expected. The analysis of positive controls consisting of 20 blastocyst rebiopsies and 3 cell lines (-4p: n = 3; -8q: n = 4; -1p: n = 5; -22q: n = 3; -5p: n = 2; -15q: n = 4; -11q: n = 2), allowed to accurately characterize 6 out of the 7 microdeletions (18/23 samples). In particular, all interstitial SNPs genotyped showed a LOH, while diploid controls showed an overall heterozygosity of 30.9% (average number of hetSNP x deletion = 9/28). Only the very small telomeric 1p36 region failed to properly amplify. For monogenic conditions, sequencing analysis of 5 positive gDNA controls confirmed the presence of 4 known SNVs, whilst only 1 did not achieve the minimum coverage for variant calling. Moreover, 4 additional de novo SNVs detected by sequencing analysis in the gene panel on 8 blastocyst rebiopsies were all confirmed by qPCR/Taqman assays.
Limitations, reasons for caution
Positive controls were not available for all genes and microdeletions included in the panel. Moreover, inefficient amplification has affected some target regions and further optimization will be required. However, analytical performance on technical and biological replicates were highly promising for the tested conditions both cell lines and trophectoderm biopsies.
Wider implications of the findings
This study demonstrates that the integration of genotyping and chromosomal analyses can be efficiently achieved in the same NGS workflow. This approach can be employed to expand PGT diagnostic scope to conditions undetectable in parents due to their de novo onset, or that are below the standard PGT-A resolution.
Trial registration number
N/A
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Affiliation(s)
- S Caroselli
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - L Girardi
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - M Poli
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - F Cogo
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - C Patassini
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - I Pergher
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - M Costa
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | | | | | - D Baù
- Igenomix Spain, Bioinformatics Department, Valencia, Spain
| | - C Rubio
- Igenomix Spain, PGT-A Research, Valencia, Spain
| | | | - C Simòn
- Igenomix Foundation, Reproductive Genetics, Valencia, Spain
- Baylor College of Medicine, Department of Obstetrics and Gynecology, Houston-TX, USA
- Harvard University-Harvard School of Medicine, Department of Obstetrics and Gynecology, Boston, USA
- Valencia University and INCLIVA, Department of Obstetrics and Gynecology, Valencia, Spain
| | - A Capalbo
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
- Igenomix Foundation, Reproductive Genetics, Valencia, Spain
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Caroselli S, Girardi L, Poli M, Cogo F, Patassini C, Pergher I, Costa M, Mirave. Valenciano JA, Jimene. Almazan J, Baù D, Rubio C, Bles. Jarque D, Simòn C, Capalbo A. P–536 Validation of a Next Generation Sequencing (NGS) workflow integrating simultaneous analysis of ploidy, microdeletions and de novo monogenic diseases for expanded preimplantation genetic testing (PGT). Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
Can major de novo genetic and chromosomal abnormalities (i.e., ploidy, microdeletions) be effectively tested on a single embryo biopsy specimen using an integrated NGS approach?
Summary answer
The integrated NGS workflow provided high accuracy for multilevel chromosome and genetic abnormalities analysis based on single biopsies expanding PGT informativity to de novo conditions.
What is known already
Current NGS-based methodologies employed in PGT for aneuploidy (PGT-A) do not detect embryo ploidy level nor frequent pathogenic de novo microdeletions below resolution limits. Moreover, despite their considerable incidence and adverse pregnancy outcomes, de novo mutations causing severe dominant monogenic fetal structural defects (FSD) are not investigated during PGT. The development of a single biopsy specimen-based PGT-A sequencing strategy that integrates ploidy and de novo microdeletions/mutations assessment would significantly widen PGT-A diagnostic scope and technical capabilities. This comprehensive approach would provide additional valuable genetic information of unquestionable clinical utility to further refine embryo selection process among those showing euploid profiles.
Study design, size, duration
Chromosomal conditions were validated using 24 embryo rebiopsies and 5 cell lines with both known ploidy level and known microdeletions (–4p; –8q; –1p; –22q; –5p; –15q; –11q). Genotyping for monogenic conditions was validated using 5 genomic DNA samples (33pg/µl) carrying known pathogenic Single Nucleotide Variants (SNVs) in COL1A1, SOS1, PTPN11, TSC2 and FGFR2 genes. To assess technical performance across identified SNPs, genotyping accuracy was evaluated on 17 samples from 5 embryos and 2 cell lines.
Participants/materials, setting, methods
Thirty-two de novo dominant monogenic conditions with FSD and strong gene-disease relationship were tested using a multiplex PCR panel with sequencing for the genes’ whole coding region. Eight common microdeletions (<10Mb) syndromes (Wolf-Hirshorn, Langer-Geidion, 1p36 deletion, De George, Cri-du-Chat, Prader-Willy/Angelman, Jacobsen) were tested using B-allelic frequency (BAF) of 356 highly polymorphic Single Nucleotide Polymorphisms (SNPs). These SNPs were also used for ploidy assessment. Library preparation and sequencing were performed on the IonTorrent S5 (ThermoFisher).
Main results and the role of chance
Blinded NGS data analysis confirmed the ploidy status in all (19) samples with known constitution (8 diploids, 7 polyploids, 4 haploids). Specifically, the proportion of heterozygote calls (BAF 40%–60%) was 60.9% (95%CI:47.6–72.8) for diploid samples and <1% for haploid samples(P < 0.001). All polyploid samples showed a typical splitting of BAF among 3 experimental ranges (20–40%,40%–60%,60–80%): 34.1%,18.2% and 47.7%, respectively. For microdeletions, all interstitial SNPs genotyped showed a loss of heterozygosity (LOH) as expected. The analysis of positive controls consisting of 20 blastocyst rebiopsies and 3 cell lines (–4p: n = 3; –8q: n = 4; –1p: n = 5; –22q: n = 3; –5p: n = 2; –15q: n = 4; –11q: n = 2), allowed to accurately characterize 6 out of the 7 microdeletions (18/23 samples). In particular, all interstitial SNPs genotyped showed a LOH, while diploid controls showed an overall heterozygosity of 30.9% (average number of hetSNP x deletion=9/28). Only the very small telomeric 1p36 region failed to properly amplify. For monogenic conditions, sequencing analysis of 5 positive gDNA controls confirmed the presence of 4 known SNVs, whilst only 1 did not achieve the minimum coverage for variant calling. Moreover, 4 additional de novo SNVs detected by sequencing analysis in the gene panel on 8 blastocyst rebiopsies were all confirmed by qPCR/Taqman assays.
Limitations, reasons for caution
Positive controls were not available for all genes and microdeletions included in the panel. Moreover, inefficient amplification has affected some target regions and further optimization will be required. However, analytical performance on technical and biological replicates were highly promising for the tested conditions both cell lines and trophectoderm biopsies.
Wider implications of the findings: This study demonstrates that the integration of genotyping and chromosomal analyses can be efficiently achieved in the same NGS workflow. This approach can be employed to expand PGT diagnostic scope to conditions undetectable in parents due to their de novo onset, or that are below the standard PGT-A resolution.
Trial registration number
N/A
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Affiliation(s)
- S Caroselli
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - L Girardi
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - M Poli
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - F Cogo
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - C Patassini
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - I Pergher
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | - M Costa
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
| | | | | | - D Baù
- Igenomix Spain, Bioinformatics Department, Valencia, Spain
| | - C Rubio
- Igenomix Spain, PGT-A Research, Valencia, Spain
| | | | - C Simòn
- Igenomix Foundation, Reproductive Genetics, Valencia, Spain
- Baylor College of Medicine, Department of Obstetrics and Gynecology, Houston-TX, USA
- Harvard University-Harvard School of Medicine, Department of Obstetrics and Gynecology, Boston, USA
- Valencia University and INCLIVA, Department of Obstetrics and Gynecology, Valencia, Spain
| | - A Capalbo
- Igenomix Italia, Reproductive Genetics, Marostica, Italy
- Igenomix Foundation, Reproductive Genetics, Valencia, Spain
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