Preimplantation genetic haplotyping: 127 diagnostic cycles demonstrating a robust, efficient alternative to direct mutation testing on single cells
Abstract
Preimplantation genetic diagnosis using whole genome amplification and a haplotyping approach (PGH) was first described in 2006 and suggested as an efficient alternative to single-cell PCR for monogenic disorders. DNA from single cells was amplified using multiple displacement amplification; the resulting products were then tested using disease-specific PCR multiplexes applied under standard laboratory conditions to determine the haplotypes in the embryo. This study reports on a total of 127 completed biopsy cycles for 101 couples at risk of: autosomal recessive disease (71 cycles, 53 couples including one germ-line mosaic carrier), autosomal dominant disease (31 cycles, 26 couples including one germ-line mosaic carrier), X-linked recessive disease (18 cycles, 16 couples including one germ-line mosaic carrier), X-linked dominant disease (six cycles, five couples) and a double inheritance of both autosomal and X-linked recessive diseases (one cycle, one couple). Of these, 107 cycles reached embryo transfer. Overall success rates were: fetal heart beat-positive pregnancies (FHB+)/biopsy cycle
=
28%; FHB+/embryo transfer
=
34%; FHB+/couple
=
36%; 26 babies born, 13 ongoing pregnancies. These data demonstrate that PGH provides a robust, efficient and successful alternative to single-cell PCR for monogenic diseases.
Keywords: haplotype analysis, monogenic disease, PGD, PGH, whole genome amplification
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Pamela Renwick is a consultant clinical scientist and is head of the molecular genetic group within the Centre for Preimplantation Genetic Diagnosis at Guy’s and St. Thomas’ Hospital; this service provides preimplantation genetic diagnosis (PGD) for couples at risk of inherited single-gene defects. She introduced the approach of preimplantation genetic haplotyping in 2006 which won the centre a national Hospital Doctor award for innovation. She has recently joined the steering committee of the ESHRE PGD consortium.
PII: S1472-6483(10)00007-6
doi:10.1016/j.rbmo.2010.01.006
© 2010 Published by Elsevier Inc.
