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2009 Vienna - European Society of Human Genetics

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Concurrent Sessions<br />

showers’ and (iii) numerous highly informative ‘homocoordinate’ mutations.<br />

Using the proportion <strong>of</strong> CpG substitution as a crude indicator<br />

<strong>of</strong> the relative likelihood <strong>of</strong> transient hypermutability, we also present<br />

evidence to suggest that CSMMs comprising at least one pair <strong>of</strong> mutations<br />

separated by 300 genes, and the DMuDB diagnostic database<br />

(http://ngrl.man.ac.uk/dmudb)<br />

Our current focus extends into areas such as grid-based services, and<br />

systems for providing universal IDs for all biomedical research data<br />

and entities on the internet, including individual researchers. This will<br />

revolutionise the potential for holistic data integration, and ensure fair<br />

and equitable use <strong>of</strong> sensitive G2P information.<br />

Acknowledgements: GEN2PHEN is funded by the <strong>European</strong> Community’s<br />

Seventh Framework Programme (FP7/2007-2013) under grant<br />

agreement 200754.<br />

c15.6<br />

Establishing a link between microRNAs, genes and hereditary<br />

diseases : the miRiFix database<br />

A. Henrion Caude 1 , C. Mugnier 2 , S. Bandiera 1 , M. Girard 1 , M. Le Merrer 1 , A.<br />

Munnich 1 , S. Lyonnet 1 ;<br />

1 INSERM U781, Paris, France, 2 University Paris Descartes, Paris, France.<br />

Identification and analysis <strong>of</strong> microRNAs (miRs) enhance our understanding<br />

<strong>of</strong> the important roles that small RNAs play in complex<br />

regulatory networks. However, there are still few data supporting the<br />

involvement <strong>of</strong> miRs in Mendelian disease inheritance other than cancer.<br />

MiRs may be regarded either as candidate gene within a disease<br />

locus, or as putative modifier gene, which can regulate the expression<br />

<strong>of</strong> a given disease-causing gene. At this latter level, single nucleotide<br />

polymorphisms (SNPs) within the target gene add a supplemental layer<br />

<strong>of</strong> complexity. Herein, we present a comprehensive resource, aimed<br />

at linking miRs and hereditary diseases : mirifix.com. MiRiFix is an<br />

easy-to-use, web-accessible framework <strong>of</strong> tool and data integration.<br />

Our model crosses up-to-date information on human miRs and the<br />

Genatlas database, which provides integrated data on gene mapping<br />

and genetic diseases. MiRiFix enables to systematically explore the<br />

computational involvement <strong>of</strong> miRs in the pathogenesis <strong>of</strong> diseases,<br />

and retrieves : (i) miR as a candidate gene from a locus, using the updated<br />

compendium <strong>of</strong> human miRs and their mapping information, (ii)<br />

a set <strong>of</strong> miRs predicted to regulate a disease-causing gene, in both its<br />

3’-UTR and coding sequence, using distinct algorithms, and finally (iii)<br />

a set <strong>of</strong> SNPs predicted to be functional in terms <strong>of</strong> miR regulation. We<br />

will present the efficiency <strong>of</strong> miRiFix in predicting previously established<br />

links, but also in retrieving novel data on mapped diseases orphan <strong>of</strong><br />

identified genes. Our web resource provides a unique integrated way<br />

to assess computational roles <strong>of</strong> miRs in hereditary disease.<br />

c16.1<br />

the Effect <strong>of</strong> translocation-induced Nuclear Re-organization on<br />

Gene Expression<br />

L. Harewood 1 , F. Schütz 1,2,3 , S. Boyle 4 , P. Perry 4 , M. Delorenzi 2,3 , W. A. Bickmore<br />

4 , A. Reymond 1 ;<br />

1 Center for Integrative Genomics, Lausanne, Switzerland, 2 National Center <strong>of</strong><br />

Competence in Research (NCCR) “Molecular Oncology”, Lausanne, Switzerland,<br />

3 Swiss Institute <strong>of</strong> Bioinformatics (SIB), Lausanne, Switzerland, 4 MRC<br />

<strong>Human</strong> <strong>Genetics</strong> Unit, Edinburgh, United Kingdom.<br />

Chromosome organization in the nucleus is thought to impact on gene<br />

expression. To study the effect <strong>of</strong> balanced chromosomal rearrangements<br />

on gene expression, we compared the transcriptomes <strong>of</strong> cell<br />

lines from control and t(11;22)(q23;q11) individuals. This translocation<br />

between chromosomes 11 and 22 is the only recurrent constitutional<br />

non-Robertsonian translocation in humans. The number <strong>of</strong> differentially<br />

expressed transcripts between the translocated and control cohorts<br />

is significantly higher than that observed between control samples<br />

alone, suggesting that balanced rearrangements have a greater<br />

effect on gene expression than normal variation. Altered expression<br />

on translocation chromosomes is limited to chromosome 11-mapping<br />

genes. Consistently, we show that the nuclear position <strong>of</strong> the derivative<br />

chromosome 11, but not that <strong>of</strong> the derivative chromosome 22, is<br />

significantly altered compared to its normal counterpart, suggesting<br />

that expression changes <strong>of</strong> chromosome 11 genes are potentially due<br />

to their transposition into an anomalous chromatin environment. Our

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