Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

A retrospective study of paediatric health and development following pre-implantation genetic diagnosis and screening

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Olive, M. ; Univ. of the West of England, Bristol, UK ; Lashwood, A. ; Solomonides, T.

Pre-implantation genetic diagnosis and screening (PGD and PGS) are treatments for patients that have (or are carriers of) an inherited genetic disorder, or who have had a history of miscarriage, problems with embryo implantation, etc. Often conducted alongside assisted reproductive technologies (ART), a number of embryos are produced, and the DNA and chromosomes of each are tested for various disorders by removing one or two cells for analysis. A retrospective cross-sectional study looking at the health and development of children born following PGD and PGS is now underway, aided by an online system developed by the EuroPGDcode project. Data has been collected from a number of ART/PGD centres worldwide, and has been entered into this system. A number of complex queries have been constructed to interrogate the data; although retrospective and not case controlled, indications are that the birth abnormality rate is low at 1.42%. However the special care requirements of PGD infants was 22.9% and the incidence of health problems after birth was 22.3%. In addition to statistical analysis of the data, a number of cases of particular interest have been identified. The online system provides the facility for the full details of these cases to be exported in a specially designed XML format for further analysis.

Published in:

Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on

Date of Conference:

27-30 June 2011