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Title

Current status of preimplantation genetic diagnosis in Japan

 

Authors

Kenji Sato*, Kou Sueoka, Kotaro Iino, Hiroshi Senba, Mariko Suzuki, Yuki Mizuguchi, Yoko Izumi, Suguru Sato, Akira Nakabayashi & Mamoru Tanaka

 

Affiliation

Department of Obstetrics and Gynecology, School of Medicine, Keio University, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-0016, Japan

 

Email

ksato@a8.keio.jp; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received May 10, 2015; Accepted May 25, 2015; Published May 28, 2015

 

Abstract

This is a retrospective study aimingto clarify the current status of preimplantation genetic diagnosis (PGD) in Japan. Our data were collected from 12 facilities between September 2004 and September 2012, and entered into a database. A majority of PGD in Japan was performed for balanced structural chromosomal abnormalities in couples with recurrent miscarriage. PGD for monogenic diseases was performed only in two facilities. The average maternal age was 38 years for monogenic diseases and 40 years for chromosomal abnormalities. Overall there have been671 cycles to oocyte retrieval reported. Of these cycles, 85% (572 cycles)were for chromosomal abnormalities, and 15% (99 cycles) for monogenic diseases. Diagnosis rates in the current study were 70.8% for monogenic diseases and 94.0% for chromosomal abnormalities. Rates of embryo transfer of PGD were 62.7% for monogenic diseases and 25.5% for chromosomal abnormalities. Clinical pregnancy rates per embryo transfer were 12.0% for monogenic diseases and 35.6% for chromosomal abnormalities. Our study is the first PGD report from all facilities which had the approval of the ethics committee of the Japanese Society of Obstetrics and Gynecology. We have built a basis for gathering continuous PGD data in Japan.

 

Keywords

Chromosomalabnormalities, Genetic counseling, Japan, Monogenic diseases, Preimplantation genetic diagnosis (PGD)

 

Citation

Sato et al. Bioinformation 11(5): 254-260 (2015)
 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.