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PETBioNewsNewsFirst baby born from 'cheaper' gene sequencing of IVF embryos

BioNews

First baby born from 'cheaper' gene sequencing of IVF embryos

Published 8 July 2013 posted in News and appears in BioNews 712

Author

Siobhan Chan

Image by Alan Handyside via the Wellcome Collection. Depicts a human egg soon after fertilisation, with the two parental pronuclei clearly visible.
CC0 1.0
Image by Alan Handyside via the Wellcome Collection. Depicts a human egg soon after fertilisation, with the two parental pronuclei clearly visible.

A 'powerful' form of genome analysis could improve embryo selection for IVF, according to scientists who report that the first baby has been born from this method...

A 'powerful' form of genome analysis could improve
embryo selection for IVF, according to scientists who report that the first baby
has been born from this method.

The technique, known as next generation sequencing (NGS), analyses
the genome of embryos, allowing doctors to choose an embryo without known genetic defects
in the hope that this will lead to more successful pregnancies.

NGS can detect genetic abnormalities, such as an incorrect
number of chromosomes, gene defects and mitochondrial DNA mutations. The
researchers, from the University of Oxford's NIHR Biomedical Research Centre, tested the accuracy of NGS in
blastocysts and then implanted chromosomally normal embryos into two women. The
first baby, a healthy boy, was born in June in Pennsylvania, in the USA.

Only around 30 percent of embryos that are transferred into the
womb for IVF implant successfully. Dr Dagan Wells, who led the study, suggests
that this is due to genetic abnormalities in the embryo. 'Many of the embryos produced during infertility treatments have no
chance of becoming a baby because they carry lethal genetic abnormalities', he says. 'Aneuploidy
is probably the single biggest factor in embryos not implanting'.

'NGS improves our ability to detect these abnormalities
and helps us identify the embryos with the best chances of producing a viable pregnancy.
Potentially, this should lead to improved IVF success rates and a lower risk of
miscarriage', he added.

Genetic
analysis of embryos is currently possible using techniques such as
preimplantation genetic screening, but the team hope that their method could
provide a cheaper alternative. 'NGS is a way which
could make chromosome testing more widely available to a greater number of
patients, improving access by cutting the costs', said Dr Wells, estimating that around £200 could be saved per patient.

The technique may raise ethical issues,
such as whether parents would be able to select embryos based on their genetic
make-up. However, Dr Wells stressed that 'trivial' information, such as eye
colour, would not be a factor in embryo selection.

Dr Wells also emphasised that NGS would only be useful in
cases where at least one viable embryo is produced, so could be less useful for
women over 38 years of age.

More research is needed to confirm the
results. 'Our next step is a
randomised clinical trial to reveal the true efficacy of this approach - and this
will begin later this year',
said Dr Wells.

The study was presented at the annual meeting of the European Society of Human Reproduction and Embryology.

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Image by Alan Handyside via the Wellcome Collection. Depicts a human egg soon after fertilisation, with the two parental pronuclei clearly visible.
CC0 1.0
Image by Alan Handyside via the Wellcome Collection. Depicts a human egg soon after fertilisation, with the two parental pronuclei clearly visible.
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Image by Alan Handyside via the Wellcome Collection. Depicts a human egg soon after fertilisation, with the two parental pronuclei clearly visible.
CC0 1.0
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Image by Peter Artymiuk via the Wellcome Collection. Depicts the shadow of a DNA double helix, on a background that shows the fluorescent banding of the output from a DNA sequencing machine.
CC BY 4.0
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Image by Peter Artymiuk via the Wellcome Collection. Depicts the shadow of a DNA double helix, on a background that shows the fluorescent banding of the output from a DNA sequencing machine.
CC BY 4.0
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