Genetics Society Spring Meeting: Genomics for Health and Society

The aim of of the meeting was to begin to answer the question:

“What will be the impact of large-scale sequencing of human populations in the 21st Century?”

Held at The Royal Society in London on 19th April 2013, the meeting brought together some distinguished figures from clinical genetics, population genomics, DNA fingerprinting and the legal implications of genomics. There is an excellent summary of the meeting on Storify, as a collection of Tweets from several authors assembled by DJ de Koning, but I have included some highlights in this post.

Speakers at the meeting were Kate Bushby and the people shown below:

First to present was Jim Lupski from Baylor College of Medicine, Houston, on “Personal Genomes”.

According to Jim, one of his claims to fame should be that he was the first person in the world to be both first author and the subject of study on a personal genome paper.  His whole genome was sequenced and analysed because he is part of a pedigree or “clan”  (as he called it) segregating a peripheral neuropathy called Charcot-Marie-Tooth disease.  Jim Lupski’s talk was a bit of a romp with paper, case study and human stories tumbling out so fast it sometimes seemed difficult for him to draw breath.  The last story was particularly compelling – a tale of fraternal twins, with a movement disorder, that had undergone numerous inconclusive medical investigations before whole genome sequencing enabled a clear diagnosis and improved therapy.

Sir John Burn entitled his talk “Power to the People”. One of his main themes was that we were heading towards a clinical genome sequence data “traffic jam”.  An example of this is the recently announced NHS plan to spend 100M pounds on sequencing about 100,000 patient genomes. Some of the other issues this project raises are discussed in an excellent blog post, here.  Sir John emphasised that, in order to extract maximum value from these date, it will be vital to share information on variants in a way that preserves patient confidentiality.  One way to encourage sharing these data is to use “microattribution“, where scientists who have annotated a sequence variant gain credit for their efforts.

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