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Preimplantation genetic testing using Karyomapping for a paternally inherited reciprocal translocation: a case study

  • C. E. BeyerEmail author
  • A. Lewis
  • E. Willats
  • J. Mullen
Genetics

Abstract

Purpose

Preimplantation genetic testing (PGT) using Karyomapping is used to screen embryos for single gene disorders prior to implantation. While Karyomapping is not designed to screen for abnormalities in chromosome copy number, this testing is based upon a genome-wide analysis of single nucleotide polymorphisms (SNP) and, as such, some chromosome abnormalities are detected. The aim of this study was to validate whether Karyomapping could provide reliable and accurate PGT for a paternal 46,XY,t(10;19)(p15;p13.3) reciprocal translocation.

Methods

Feasibility/validation for PGT was performed using DNA from the couple, as well as DNA from the paternal parents and from a previous unbalanced pregnancy. Karyomapping was performed using Illumina’s HumanKaryomap-12 BeadChip microarray technology. SNP analysis was performed using BlueFuse Multi software (Illumina). Transmission of the translocation was assessed through the analysis of SNP markers on the chromosome regions of interest.

Results

PGT-SR was determined to be feasible as chromosomal SNP analysis could reliably distinguish normal/balanced outcomes from all unbalanced outcomes. The couple transferred a normal/balanced embryo in an elective single embryo transfer procedure following 2 IVF/PGT-SR cycles. A clinical pregnancy was achieved.

Conclusion

This is the first report of PGT-SR test validation using Karyomapping for a 46,XY,t(10;19)(p15;p13.3) reciprocal translocation. Karyomapping may offer a means of detecting unbalanced forms of chromosome rearrangements when other PGT platforms fail.

Keywords

Preimplantation genetic diagnosis Preimplantation genetic testing Chromosome rearrangement Phasing Karyomapping 

Notes

Acknowledgements

The authors would like to thank all the staff at Monash IVF clinic for referring and coordinating the couple and the genetics staff at Monash IVF for their genetic analysis and contributions towards this paper.

Authors’ roles

Claire E Beyer—case study concept and design, data acquisition, study execution, analysis, manuscript drafting, interpretation of data.

Amy Lewis—data acquisition, study execution, analysis, manuscript drafting, interpretation of data.

Elissa Willats—Manuscript drafting, interpretation of data.

Jayne Mullen—Manuscript review.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Monash IVFClaytonAustralia

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