Literature DB >> 28476179

Current experience concerning mosaic embryos diagnosed during preimplantation genetic screening.

Gary L Harton1, Cengiz Cinnioglu2, Francesco Fiorentino3.   

Abstract

The concept of embryos containing multiple cell lines (mosaicism) is not new, but much attention has been paid to this concept recently owing to recent advances in molecular techniques to analyze human embryos. Mosaicism in embryos has been known and reported for some time, originally in early cleavage-stage embryos diagnosed with the use of fluorescence in situ hybridization (FISH). However, the early data have come under attack owing to the limited ability of FISH to reliably detect the actual copy number count of chromosomes as well as potential ascertainment bias of those early studies, which were all performed on already analyzed embryos found to be aneuploid. More recent molecular techniques for analyzing embryos have allowed scientists to really begin to understand mosaic embryos, and to now transfer and follow this class of embryo. Indeed, it could be said that three classes of embryos now exist after preimplantation genetic screening: euploid, aneuploid, and mosaic aneuploid. This paper attempts to bring to light the latest data on mosaic embryos and to understand how clinicians and others will deal with this issue today and in the future. Finally, an attempt is made to look to other fields of genetics to understand how this important issue can be dealt with as a group much better than any one individual group may be able to.
Copyright © 2017 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mosaicism; comprehensive chromosome screening; inner cell mass; preimplantation genetic screening; trophectoderm

Mesh:

Year:  2017        PMID: 28476179     DOI: 10.1016/j.fertnstert.2017.03.016

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  8 in total

1.  Pregnancy and child developmental outcomes after preimplantation genetic screening: a meta-analytic and systematic review.

Authors:  Misaki N Natsuaki; Laura M Dimler
Journal:  World J Pediatr       Date:  2018-07-31       Impact factor: 2.764

Review 2.  The mechanisms and clinical application of mosaicism in preimplantation embryos.

Authors:  Xinyuan Li; Yan Hao; Nagwa Elshewy; Xiaoqian Zhu; Zhiguo Zhang; Ping Zhou
Journal:  J Assist Reprod Genet       Date:  2019-12-14       Impact factor: 3.412

3.  Prenatal Diagnosis of Chromosomal Mosaicism in Over 18,000 Pregnancies: A Five-Year Single-Tertiary-Center Retrospective Analysis.

Authors:  Shuyuan Li; Yiru Shi; Xu Han; Yiyao Chen; Yinghua Shen; Wenjing Hu; Xinrong Zhao; Yanlin Wang
Journal:  Front Genet       Date:  2022-05-16       Impact factor: 4.772

4.  Re-analysis of whole blastocysts after trophectoderm biopsy indicated chromosome aneuploidy.

Authors:  Zhanhui Ou; Zhiheng Chen; Minna Yin; Yu Deng; Yunhao Liang; Wenjun Wang; Yuanqing Yao; Ling Sun
Journal:  Hum Genomics       Date:  2020-01-13       Impact factor: 4.639

5.  Preimplantation genetic testing for aneuploidy: The management of mosaic embryos.

Authors:  Eun Jeong Yu; Min Jee Kim; Eun A Park; Inn Soo Kang
Journal:  Clin Exp Reprod Med       Date:  2022-08-31

6.  Importance of embryo aneuploidy screening in preimplantation genetic diagnosis for monogenic diseases using the karyomap gene chip.

Authors:  Gang Li; Wenbin Niu; Haixia Jin; Jiawei Xu; Wenyan Song; Yihong Guo; Yingchun Su; Yingpu Sun
Journal:  Sci Rep       Date:  2018-02-16       Impact factor: 4.379

7.  The birth of a baby with mosaicism resulting from a known mosaic embryo transfer: a case report.

Authors:  Semra Kahraman; Murat Cetinkaya; Beril Yuksel; Mesut Yesil; Caroline Pirkevi Cetinkaya
Journal:  Hum Reprod       Date:  2020-03-27       Impact factor: 6.918

8.  The inconsistency between two major aneuploidy-screening platforms-single-nucleotide polymorphism array and next-generation sequencing-in the detection of embryo mosaicism.

Authors:  Dongjia Chen; Yan Xu; Chenhui Ding; Yali Wang; Yu Fu; Bing Cai; Jing Wang; Rong Li; Jing Guo; Jiafu Pan; Yanhong Zeng; Yiping Zhong; Xiaoting Shen; Canquan Zhou
Journal:  BMC Genomics       Date:  2022-01-18       Impact factor: 3.969

  8 in total

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