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2008 Barcelona - European Society of Human Genetics

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Plenary Lectures<br />

ing its high throughput genotyping platforms . We have widely applied<br />

different formats <strong>of</strong> Illumina Infinium and Affymetrix arrays. The CNG<br />

genotyping platforms are embedded in a system <strong>of</strong> highly standardized<br />

DNA handling and QC, LIMS, data QC, statistical analysis and<br />

OPERON, a bioinformatic knowledge database . Our studies have delivered<br />

many striking results, such as ORMDL3, a strong candidate<br />

gene associated with childhood asthma, PTGER4 a candidate gene<br />

associated with Crohn’s disease, BCL11A a strong candidate gene associated<br />

with sickle cell disease and β-thalassemia, and others. The<br />

identification <strong>of</strong> associated genes was accelerated by a database <strong>of</strong><br />

genome-wide association <strong>of</strong> global gene expression . Recently we<br />

managed to identify an intriguing group <strong>of</strong> genes that constitute subunits<br />

<strong>of</strong> a nicotinic acetylcholine receptor on 15q25 associated with<br />

lung cancer susceptibility .<br />

To gain better understanding <strong>of</strong> the regions <strong>of</strong> the genome that show<br />

association with a phenotype we are currently using a 2nd generation<br />

DNA sequencing platform based on Illumina Genome Analyzers . We<br />

have adapted efficient methods for the enrichment <strong>of</strong> regions <strong>of</strong> interest<br />

. The 2nd generation DNA sequencing methodology is well suited<br />

for the analysis <strong>of</strong> DNA samples enriched for particular genomic regions<br />

<strong>of</strong> interest . Due to the technical limitations <strong>of</strong> these technologies,<br />

their application for capturing structural variation such as short range<br />

length polymorphisms (microsatellites and minisatellites), duplications<br />

and inversion requires work arounds . We believe that a further paradigm<br />

shift to a 3rd generation <strong>of</strong> DNA sequencing technology will be<br />

required for cost-effective whole genome sequencing . This technology<br />

will have to be able to analyze clonal DNA molecules over long<br />

distances (5 - 30 kb) . The <strong>European</strong> Community is funding an effort to<br />

develop such a technology through its FP7 programme READNA .<br />

PL4.1<br />

Distinguished speaker Lecture: systems Biology and systems<br />

medicine<br />

L. Hood;<br />

President, Institute for Systems Biology, Seattle, WA, United States.<br />

The grand challenge for biology and medicine in the 21st century is<br />

complexity . A currently emerging paradigm change is the idea that<br />

biology is an informational science and that most biological information<br />

is mediated by dynamical biological networks . The systems approach<br />

to biology and medicine is a general category <strong>of</strong> approaches<br />

that appear to be very effective in dealing both with biological circuits<br />

and hence with biological complexity . Systems approaches require a<br />

truly cross-disciplinary environment and the effective integration <strong>of</strong><br />

biology, technology and computation/mathematics . I will discuss my<br />

views <strong>of</strong> systems biology . Then I will discuss a systems approach to<br />

one disease, prion disease in mice, and demonstrate how it pr<strong>of</strong>oundly<br />

alters our views <strong>of</strong> disease_with regard to understanding disease<br />

pathophysiology as well as new approaches to diagnosis, therapy and<br />

eventually prevention . Then I will talk about the emerging measurement<br />

technologies that are the foundation <strong>of</strong> P4 medicine, as well as<br />

some <strong>of</strong> the pioneering computational and mathematical tools that will<br />

be necessary to usher in this revolution in medicine . The view <strong>of</strong> biology<br />

as an information science, the systems approach to disease,<br />

the new measurement and visualization technologies and the evolving<br />

mathematical/computation tools will catalyze this paradigm change in<br />

medicine. I will make five predictions: 1) our current largely reactive<br />

medicine will be transformed to a predictive, preventive, personalized<br />

and participatory (P4) medicine over the next 10 to 20 years, 2) this will<br />

lead to the digitalization <strong>of</strong> medicine (extracting information from single<br />

cells, single molecules and single individuals) with even more pr<strong>of</strong>ound<br />

implications for society than the digitalization <strong>of</strong> communications and<br />

information technologies, 3) systems medicine and its digitalization<br />

will dramatically turn around the slope <strong>of</strong> ever increasing healthcare<br />

costs to the point that the developed world will be able to export its<br />

P4 medicine to the developing world, 4) P4 medicine will necessitate<br />

fundamental changes in the business plans <strong>of</strong> virtually every sector<br />

<strong>of</strong> the healthcare industry and 5) this new world <strong>of</strong> medicine will be<br />

propelled forward by carefully chosen strategic partnerships_across<br />

all sectors <strong>of</strong> science_academia, industry, government laboratories, independent<br />

research institutes, etc_and that these partnerships will be<br />

international . ISB hopes to play an important role in catalyzing a series<br />

<strong>of</strong> these strategic partnerships .

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