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Zhang Z, Luo K, Zhang S, Cheng D, Hu L, Tan YQ, Zhang S, Gong F, Xie P, Lin G. Clinical outcomes in carriers of insertional translocation: a retrospective analysis of comprehensive chromosome screening results. F S Rep 2024; 5:55-62. [PMID: 38524217 PMCID: PMC10958698 DOI: 10.1016/j.xfre.2023.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 11/28/2023] [Accepted: 11/29/2023] [Indexed: 03/26/2024] Open
Abstract
Objective To evaluate the clinical outcomes in the carriers of insertional translocation (IT). Design Retrospective case series. Setting University-affiliated reproductive medical center. Patients Twenty-three couples with ITs. Intervention No direct interventions were involved; however, this study included patients who underwent preimplantation genetic testing for structural chromosomal rearrangements (PGT-SR). Main Outcome Measure Outcome of preimplantation genetic testing for structural chromosomal rearrangements and percentage of blastocysts available for transfer. Results Among 23 IT carriers, 15 were simple interchromosome ITs (type A), 3 were intrachromosome IT carriers (type B), and 5 were interchromosome IT carriers combined with other translocations (type C). A total of 190 blastocysts from 30 cycles were biopsied, 187 embryos were tested successfully, and only 57 blastocysts (30.5%) from 21 patients were available for transfer (normal or balanced). The unbalanced rearrangement rate of type C was 79.2% (42/53), and the proportion of type A was 50.0% (57/114), which was significantly higher than that of type B (5%, 1/20). In type A, the probability of embryos harboring unbalanced rearrangement in female carriers was 56.0% (51/91), which was higher than that in male carriers (26.1%, 6/23). Furthermore, the haploid autosomal length value of the inserted fragment was correlated linearly with the incidence of abnormal embryos. In type A gametes, most gametes produced by 2:2 separation without crossover, and no 3:1 separation gamete was observed. Conclusions The chance of identifying normal or balanced and mosaic blastocysts per mature oocytes in patients with ITs are 16.6% (67/404). Greater IT complexity results in fewer transferable embryos. For simple interchromosome ITs, female carriers and those with higher haploid autosomal length values have a higher risk of producing embryos with unbalanced rearrangement.
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Affiliation(s)
- Zhiqi Zhang
- Hospital of Hunan Guangxiu, Hunan Normal University School of Medicine, Hunan, People’s Republic of China
| | - Keli Luo
- NHC Key Laboratory of Human Stem and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, People’s Republic of China
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
| | - Senlin Zhang
- Hospital of Hunan Guangxiu, Hunan Normal University School of Medicine, Hunan, People’s Republic of China
| | - Dehua Cheng
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
| | - Liang Hu
- NHC Key Laboratory of Human Stem and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, People’s Republic of China
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
| | - Yue-Qiu Tan
- NHC Key Laboratory of Human Stem and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, People’s Republic of China
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
| | - Shuoping Zhang
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
| | - Fei Gong
- NHC Key Laboratory of Human Stem and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, People’s Republic of China
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
| | - Pingyuan Xie
- Hospital of Hunan Guangxiu, Hunan Normal University School of Medicine, Hunan, People’s Republic of China
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
- National Engineering and Research Center of Human Stem Cells, Changsha, People’s Republic of China
| | - Ge Lin
- NHC Key Laboratory of Human Stem and Reproductive Engineering, School of Basic Medical Science, Central South University, Changsha, People’s Republic of China
- Reproductive and Genetic Hospital of CITIC-Xiangya, Hunan, People’s Republic of China
- Clinical Research Center for Reproduction and Genetics, Hunan Province, People’s Republic of China
- National Engineering and Research Center of Human Stem Cells, Changsha, People’s Republic of China
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Fang Q, George AS, Brinkmeier ML, Mortensen AH, Gergics P, Cheung LYM, Daly AZ, Ajmal A, Pérez Millán MI, Ozel AB, Kitzman JO, Mills RE, Li JZ, Camper SA. Genetics of Combined Pituitary Hormone Deficiency: Roadmap into the Genome Era. Endocr Rev 2016; 37:636-675. [PMID: 27828722 PMCID: PMC5155665 DOI: 10.1210/er.2016-1101] [Citation(s) in RCA: 107] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 10/31/2016] [Indexed: 02/08/2023]
Abstract
The genetic basis for combined pituitary hormone deficiency (CPHD) is complex, involving 30 genes in a variety of syndromic and nonsyndromic presentations. Molecular diagnosis of this disorder is valuable for predicting disease progression, avoiding unnecessary surgery, and family planning. We expect that the application of high throughput sequencing will uncover additional contributing genes and eventually become a valuable tool for molecular diagnosis. For example, in the last 3 years, six new genes have been implicated in CPHD using whole-exome sequencing. In this review, we present a historical perspective on gene discovery for CPHD and predict approaches that may facilitate future gene identification projects conducted by clinicians and basic scientists. Guidelines for systematic reporting of genetic variants and assigning causality are emerging. We apply these guidelines retrospectively to reports of the genetic basis of CPHD and summarize modes of inheritance and penetrance for each of the known genes. In recent years, there have been great improvements in databases of genetic information for diverse populations. Some issues remain that make molecular diagnosis challenging in some cases. These include the inherent genetic complexity of this disorder, technical challenges like uneven coverage, differing results from variant calling and interpretation pipelines, the number of tolerated genetic alterations, and imperfect methods for predicting pathogenicity. We discuss approaches for future research in the genetics of CPHD.
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Affiliation(s)
- Qing Fang
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Akima S George
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Michelle L Brinkmeier
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Amanda H Mortensen
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Peter Gergics
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Leonard Y M Cheung
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Alexandre Z Daly
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Adnan Ajmal
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - María Ines Pérez Millán
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - A Bilge Ozel
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Jacob O Kitzman
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Ryan E Mills
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Jun Z Li
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
| | - Sally A Camper
- Department of Human Genetics (Q.F., A.S.G., M.L.B., A.H.M., P.G., L.Y.M.C., A.Z.D., M.I.P.M., A.B.O., J.O.K., R.E.M., J.Z.L., S.A.C.), Graduate Program in Bioinformatics (A.S.G.), Endocrine Division, Department of Internal Medicine (A.A.), and Department of Computational Medicine and Bioinformatics (J.O.K., R.E.M., J.Z.L.), University of Michigan, Ann Arbor, Michigan 48109
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