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Del Llano E, Perrin A, Morel F, Devillard F, Harbuz R, Satre V, Amblard F, Bidart M, Hennebicq S, Brouillet S, Ray PF, Coutton C, Martinez G. Sperm Meiotic Segregation Analysis of Reciprocal Translocations Carriers: We Have Bigger FISH to Fry. Int J Mol Sci 2023; 24:ijms24043664. [PMID: 36835074 PMCID: PMC9965694 DOI: 10.3390/ijms24043664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Reciprocal translocation (RT) carriers produce a proportion of unbalanced gametes that expose them to a higher risk of infertility, recurrent miscarriage, and fetus or children with congenital anomalies and developmental delay. To reduce these risks, RT carriers can benefit from prenatal diagnosis (PND) or preimplantation genetic diagnosis (PGD). Sperm fluorescence in situ hybridization (spermFISH) has been used for decades to investigate the sperm meiotic segregation of RT carriers, but a recent report indicates a very low correlation between spermFISH and PGD outcomes, raising the question of the usefulness of spermFISH for these patients. To address this point, we report here the meiotic segregation of 41 RT carriers, the largest cohort reported to date, and conduct a review of the literature to investigate global segregation rates and look for factors that may or may not influence them. We confirm that the involvement of acrocentric chromosomes in the translocation leads to more unbalanced gamete proportions, in contrast to sperm parameters or patient age. In view of the dispersion of balanced sperm rates, we conclude that routine implementation of spermFISH is not beneficial for RT carriers.
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Affiliation(s)
- Edgar Del Llano
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
| | - Aurore Perrin
- Department of Medical Genetics and Reproductive Biology, Brest University Regional Hospital, 29200 Brest, France
- Inserm, Université de Bretagne Occidentale, EFS, UMR 1078, GGB, 29200 Brest, France
| | - Frédéric Morel
- Department of Medical Genetics and Reproductive Biology, Brest University Regional Hospital, 29200 Brest, France
- Inserm, Université de Bretagne Occidentale, EFS, UMR 1078, GGB, 29200 Brest, France
| | - Françoise Devillard
- UM de Génétique Chromosomique, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
| | - Radu Harbuz
- UM de Génétique Chromosomique, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
| | - Véronique Satre
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
- UM de Génétique Chromosomique, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
| | - Florence Amblard
- UM de Génétique Chromosomique, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
| | - Marie Bidart
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
| | - Sylviane Hennebicq
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
- Centre Clinique et Biologique d’Assistance Médicale à la Procréation, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
| | - Sophie Brouillet
- DEFE, Université de Montpellier, INSERM 1203, Hôpital Arnaud de Villeneuve, CHU de Montpellier, IRMB, 80 Avenue Augustin Fliche, CEDEX 05, 34295 Montpellier, France
| | - Pierre F. Ray
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
| | - Charles Coutton
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
- UM de Génétique Chromosomique, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
| | - Guillaume Martinez
- Genetic Epigenetic and Therapies of Infertility, Institute for Advanced Biosciences INSERM U1209, CNRS UMR5309, 38000 Grenoble, France
- UM de Génétique Chromosomique, Hôpital Couple-Enfant, Centre Hospitalier Universitaire de Grenoble, 38000 Grenoble, France
- Correspondence:
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Catusi I, Bonati MT, Mainini E, Russo S, Orlandini E, Larizza L, Recalcati MP. Recombinant Chromosome 7 Driven by Maternal Chromosome 7 Pericentric Inversion in a Girl with Features of Silver-Russell Syndrome. Int J Mol Sci 2020; 21:ijms21228487. [PMID: 33187293 PMCID: PMC7698152 DOI: 10.3390/ijms21228487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/04/2020] [Accepted: 11/09/2020] [Indexed: 11/16/2022] Open
Abstract
Maternal uniparental disomy of chromosome 7 is present in 5-10% of patients with Silver-Russell syndrome (SRS), and duplication of 7p including GRB10 (Growth Factor Receptor-Bound Protein 10), an imprinted gene that affects pre-and postnatal growth retardation, has been associated with the SRS phenotype. Here, we report on a 17 year old girl referred to array-CGH analysis for short stature, psychomotor delay, and relative macrocephaly. Array-CGH analysis showed two copy number variants (CNVs): a ~12.7 Mb gain in 7p13-p11.2, involving GRB10 and an ~9 Mb loss in 7q11.21-q11.23. FISH experiments performed on the proband's mother showed a chromosome 7 pericentric inversion that might have mediated the complex rearrangement harbored by the daughter. Indeed, we found that segmental duplications, of which chromosome 7 is highly enriched, mapped at the breakpoints of both the mother's inversion and the daughter's CNVs. We postulate that pairing of highly homologous sequences might have perturbed the correct meiotic chromosome segregation, leading to unbalanced outcomes and acting as the putative meiotic mechanism that was causative of the proband's rearrangement. Comparison of the girl's phenotype to those of patients with similar CNVs supports the presence of 7p in a locus associated with features of SRS syndrome.
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Affiliation(s)
- Ilaria Catusi
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (I.C.); (E.M.); (S.R.); (L.L.)
| | - Maria Teresa Bonati
- Ambulatorio di Genetica Medica, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (M.T.B.); (E.O.)
| | - Ester Mainini
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (I.C.); (E.M.); (S.R.); (L.L.)
| | - Silvia Russo
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (I.C.); (E.M.); (S.R.); (L.L.)
| | - Eleonora Orlandini
- Ambulatorio di Genetica Medica, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (M.T.B.); (E.O.)
| | - Lidia Larizza
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (I.C.); (E.M.); (S.R.); (L.L.)
| | - Maria Paola Recalcati
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, 20149 Milano, Italy; (I.C.); (E.M.); (S.R.); (L.L.)
- Correspondence:
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Li R, Fan H, Zhang Q, Yang X, Zhan P, Feng S. Pericentric inversion in chromosome 1 and male infertility. Open Med (Wars) 2020; 15:343-348. [PMID: 33335995 PMCID: PMC7712408 DOI: 10.1515/med-2020-0404] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 01/02/2020] [Accepted: 03/01/2020] [Indexed: 11/15/2022] Open
Abstract
Pericentric inversion in chromosome 1 was thought to cause male infertility through spermatogenic impairment, regardless of the breakpoint position. However, carriers of pericentric inversion in chromosome 1 have been reported with normal fertility and familial transmission. Here, we report two cases of pericentric inversion in chromosome 1. One case was detected in utero via amniocentesis, and the other case was detected after the wife of the carrier experienced two spontaneous abortions within 5 years of marriage. Here, the effect of the breakpoint position of the inversion in chromosome 1 on male infertility is examined and compared with the published cases. The association between the breakpoint of pericentric inversion in chromosome 1 and spermatogenesis is also discussed. Overall, the results suggest that the breakpoint position deserves attention from physicians in genetic counseling as inversion carriers can produce offspring.
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Affiliation(s)
- Ranwei Li
- Department of Urology, The Second Hospital of Jilin
University, Changchun, China
| | - Haitao Fan
- Department of Urology, The Second Hospital of Jilin
University, Changchun, China
| | - Qiushuang Zhang
- Department of Urology, The Second Hospital of Jilin
University, Changchun, China
| | - Xiao Yang
- Department of Urology, The Second Hospital of Jilin
University, Changchun, China
| | - Peng Zhan
- Department of Urology, The Second Hospital of Jilin
University, Changchun, China
| | - Shuqiang Feng
- Department of Urology, The Second Hospital of Jilin
University, Changchun, China
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Zhang S, Liang F, Lei C, Wu J, Fu J, Yang Q, Luo X, Yu G, Wang D, Zhang Y, Lu D, Sun X, Liang Y, Xu C. Long-read sequencing and haplotype linkage analysis enabled preimplantation genetic testing for patients carrying pathogenic inversions. J Med Genet 2019; 56:741-749. [PMID: 31439719 PMCID: PMC6860410 DOI: 10.1136/jmedgenet-2018-105976] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 05/31/2019] [Accepted: 06/13/2019] [Indexed: 01/04/2023]
Abstract
Background Preimplantation genetic testing (PGT) has already been applied in patients known to carry chromosomal structural variants to improve the clinical outcome of assisted reproduction. However, conventional molecular techniques are not capable of reliably distinguishing embryos that carry balanced inversion from those with a normal karyotype. We aim to evaluate the use of long-read sequencing in combination with haplotype linkage analysis to address this challenge. Methods Long-read sequencing on Oxford Nanopore platform was employed to identify the precise positions of inversion break points in four patients. Comprehensive chromosomal screening and genome-wide haplotype linkage analysis were performed based on SNP microarray. The haplotypes, including the break point regions, the whole chromosomes involved in the inversion and the corresponding homologous chromosomes, were established using informative SNPs. Results All the inversion break points were successfully identified by long-read sequencing and validated by Sanger sequencing, and on average only 13 bp differences were observed between break points inferred by long-read sequencing and Sanger sequencing. Eighteen blastocysts were biopsied and tested, in which 10 were aneuploid or unbalanced and eight were diploid with normal or balanced inversion karyotypes. Diploid embryos were transferred back to patients, the predictive results of the current methodology were consistent with fetal karyotypes of amniotic fluid or cord blood. Conclusions Nanopore long-read sequencing is a powerful method to assay chromosomal inversions and identify exact break points. Identification of inversion break points combined with haplotype linkage analysis is an efficient strategy to distinguish embryos with normal or balanced inversion karyotypes, facilitating PGT applications.
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Affiliation(s)
- Shuo Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China.,Collaborative Innovation Center for Genetics and Development, State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Fan Liang
- GrandOmics Biosciences, Beijing, China
| | - Caixia Lei
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Junping Wu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Jing Fu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Qi Yang
- GrandOmics Biosciences, Beijing, China
| | - Xiao Luo
- GrandOmics Biosciences, Beijing, China
| | | | | | - Yueping Zhang
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Daru Lu
- Collaborative Innovation Center for Genetics and Development, State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Xiaoxi Sun
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China .,Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Yu Liang
- GrandOmics Biosciences, Beijing, China
| | - Congjian Xu
- Shanghai Ji Ai Genetics & IVF Institute, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China .,Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
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