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Open Access Meeting report

‘Sifting the significance from the data’ - the impact of high-throughput genomic technologies on human genetics and health care

Angus J Clarke1*, David N Cooper1, Michael Krawczak2, Chris Tyler-Smith3, Helen M Wallace4, Andrew O M Wilkie5, Frances Lucy Raymond6, Ruth Chadwick7, Nick Craddock8, Ros John9, John Gallacher10 and Mathias Chiano11

Author Affiliations

1 Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, Wales CF14 4XN, UK

2 Institute of Medical Informatics and Statistics, Christian-Albrechts University Kiel, Brunswiker Straße 10, Kiel, 24105, Germany

3 The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK

4 GeneWatch UK, 60 Lightwood Rd, Buxton, SK17 7BB, UK

5 Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Headington, Oxford, OX3 9DS, UK

6 Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, CB2 0XY, UK

7 Cesagen, 6 Museum Place, Cardiff University, Cardiff, Wales, CF10 3BG, UK

8 Department of Psychological Medicine, Cardiff University School of Medicine, Heath Park, Cardiff, CF14 4XN, UK

9 Cardiff School of Biosciences, Cardiff University, Cardiff, Wales, CF10 3AX, UK

10 Clinical Epidemiology, School of Medicine, Cardiff University, Cardiff, Wales, CF14 4XN, UK

11 GlaxoSmithKline Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, UK

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Human Genomics 2012, 6:11  doi:10.1186/1479-7364-6-11

Published: 2 August 2012

Abstract

This report is of a round-table discussion held in Cardiff in September 2009 for Cesagen, a research centre within the Genomics Network of the UK’s Economic and Social Research Council. The meeting was arranged to explore ideas as to the likely future course of human genomics. The achievements of genomics research were reviewed, and the likely constraints on the pace of future progress were explored. New knowledge is transforming biology and our understanding of evolution and human disease. The difficulties we face now concern the interpretation rather than the generation of new sequence data. Our understanding of gene-environment interaction is held back by our current primitive tools for measuring environmental factors, and in addition, there may be fundamental constraints on what can be known about these complex interactions.