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PETBioNewsNewsGlobal alliance to boost data-sharing in genetic research

BioNews

Global alliance to boost data-sharing in genetic research

Published 7 June 2013 posted in News and appears in BioNews 708

Author

Dr Shanya Sivakumaran

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
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 sequencing output from an automated DNA sequencing machine.

Leading international healthcare, research, funding, and technology organisations will work together in a non-profit alliance to enable large-scale sharing of genetic data...

Leading
international healthcare, research, funding, and technology organisations will work
together in a non-profit alliance to enable large-scale sharing of genetic data.

The 73 bodies - which include Cancer Research UK, the National Institute
of Health Research and the Wellcome Trust - have jointly authored a white paper outlining their plans for the alliance. The scheme promises to 'dramatically
accelerate medical progress' while preserving the privacy of people who have
donated genetic or medical information.

A
rapid fall in the cost of genome sequencing has led to a flood of data on human
genetics. But, the white paper explains, the full potential of this wealth of
information will not be realised unless data is shared, not simply kept by
those who have collected it.

'What
has really changed over the past few years is sequencing technology', confirmed
Professor Mike Stratton from the Wellcome Trust Sanger Institute, speaking to The Guardian. 'We
can now sequence a million times as much DNA for the same cost as we could ten
years ago. But what we're finding is we need to share our data to maximise the
knowledge we gain'.

Most disease areas stand to benefit, the scientists
say. Cancer, for example, is so genetically complex, Dr Francis Collins, director of
the National Institutes of Health, USA, told
the New
York Times
, that in order to understand the significance of a mutation
in a patient, data from hundreds of thousands of patients with that mutation
are required.

This means that a single centre often has too little experience with a certain
mutation to understand its impact. Professor John Burn, chair of the British Society for Genetic Medicine, told The Guardian how his group at Newcastle
University 'recently intercepted a young woman
who was about to have a mastectomy because of a genetic mutation which we've
now shown isn't a problem'. Because of
the current lack of data-sharing, other groups might not have been aware of such
information.

Rare disease research may also stand to benefit from
pooled data. Dr
David Altshuler
, chief academic
officer at the Broad Institute in the USA, told the New York Times that for diseases which occur in only one in 100,000 babies,
most hospitals will see 'zero or one' case, so 'no one ever learns'.

The white
paper also calls for input from information technology organisations. One
million whole genomes comprise roughly 100 petabytes of data - one petabyte equalling
one million gigabytes - so considerable storage capability is required.

Such
a volume of data is large but not unheard of, says the paper; YouTube has over 1,000
petabytes of video, and this is rising. The authors also remark that the Internet and social media could play a part in achieving interaction between
researchers and participants, especially in the area of consent.

And respecting the privacy and informed consent of participants will be a
significant challenge for the alliance. As, too, will be a factor touched in a report in Nature. Individual researchers 'are often reluctant to share hard-won
information', the journal noted.

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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.
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Image by Bill Sanderson via the Wellcome Collection, © Wellcome Trust Ltd 1990. Depicts Laocoön and his family (from Greek and Roman mythology) entwined in coils of DNA.
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