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2009 Vienna - European Society of Human Genetics

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Genomics, Genomic technology and Epigenetics<br />

Birmingham, United Kingdom, 2 West Midlands Regional <strong>Genetics</strong> Service,<br />

Birmingham Women’s Hospital, Birmingham, United Kingdom.<br />

Birt-Hogg-Dubé (BHD) syndrome is an autosomal dominantly inherited<br />

familial cancer syndrome characterised most commonly by the<br />

development <strong>of</strong> facial fibr<strong>of</strong>olliculomas, pulmonary cysts (predisposing<br />

to spontaneous pneumothorax) and renal tumours. Germline mutations<br />

in FLCN on 17p11.2 have been reported in patients with BHD<br />

and also in patients with isolated primary spontaneous pneumothorax.<br />

The function <strong>of</strong> the FLCN gene product, folliculin, is not well characterised<br />

but recent studies have suggested that it may be implicated in<br />

the regulation <strong>of</strong> several key signalling pathways including the AMPKmTOR<br />

route.<br />

We describe the FLCN mutation database which is based on the<br />

Leiden Open (source) Variant Database (LOVD) system. To date the<br />

variants described in the database were extracted from the published<br />

literature and from unpublished mutations detected in Birmingham,<br />

UK. However the database will be expanded to include further mutations<br />

from partners in the <strong>European</strong> BHD Consortium (http://www.<br />

europeanbhdconsortium.eu/members.aspx). Researchers can also<br />

directly submit new sequence variants (to Derek.Lim@bwhct.nhs.uk<br />

or E.R.Maher@bham.ac.uk). The FLCN mutation database <strong>of</strong>fers a<br />

valuable resource and tool for clinicians involved in the management<br />

<strong>of</strong> BHD patients, clinical geneticists and researchers.<br />

P11.012<br />

Grid-enabling G2P association studies: a knowledge discovery<br />

scenario<br />

G. Potamias 1 , L. Koumakis 1 , D. Kafetzopoulos 2 , P. Flicek 3 , H. Parkinson 3 ;<br />

1 Institute <strong>of</strong> Computer Science, Heraklion, Greece, 2 Institute <strong>of</strong> Molecular Biology<br />

and Biotechnology, Heraklion, Greece, 3 <strong>European</strong> Bioinformatics Institute,<br />

Hinxton, Cambridge, United Kingdom.<br />

The heterogeneity and scale <strong>of</strong> the data generated by high throughput<br />

(HTP) genetic association studies calls for the seamless access<br />

to respective distributed data sources. In this context, GEN2PHEN<br />

devotes efforts on the utilisation and harmonisation <strong>of</strong> Semantic Grid<br />

(SG), Web Services (WS), Scientific Workflows (SWf), and Knowledge<br />

Discovery (KD) technology. The task is realised in a Grid-enabled G2P<br />

SWf (GG2P).<br />

GG2P SWf unfolds into five steps: (i) using EBI’s and custom-made<br />

WSs registered genotype experiments are accessed from public repositories<br />

(e.g., ArrayExpress) - respective XML files are downloaded,<br />

(ii) custom-made WSs are called to parse the XML files and download<br />

the respective raw data, (iii) with custom-made WSs the data are<br />

brought into formats suitable for data-analysis; (iv) data-mining algorithms,<br />

wrapped as WSs, are called to discover indicative SNPs that<br />

discriminate between phenotypic classes, and (v) special WSs are<br />

called to map the discovered most-discriminant SNPs to corresponding<br />

genome regions, and visualise them within the Ensembl genome<br />

browser.<br />

GG2P SWf was applied on a HTP SNP-genotyping experiment that<br />

concerns 36 BRCA and 36 control/normal samples (E-GEOD-3743).<br />

We were able to identify a set <strong>of</strong> about 100 SNPs, the heterozygosity<br />

pr<strong>of</strong>ile <strong>of</strong> which exhibit a clear LOH in the BRCA cases.<br />

GG2P utilises a BPEL-compliant Wf editing and enactment environment.<br />

We plan to devise an integrated Grid reference architecture for<br />

the GEN2PHEN environment able to support GG2P-like scenarios and<br />

SWs.<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 />

P11.013<br />

High-density, flexible arrays for genome-wide or targeted<br />

analysis <strong>of</strong> epigenetic mechanisms <strong>of</strong> disease<br />

T. Takova 1 , C. Kashuk 1 , H. Rosenbaum 1 , H. Holster 1 , A. Sharp 2 , J. Kitzman 1 , L.<br />

Freeberg 1 , M. Rodesch 1 , B. Godwin 3 , H. Halvensleben 1 , T. Millard 1 , R. Selzer 1 ,<br />

T. Albert 1 , T. Richmond 1 , J. Greally 4 , J. A. Jeddeloh 1 , A. L. Iniguez 1 ;<br />

1 Roche NimbleGen, Madison, WI, United States, 2 University <strong>of</strong> Geneva, Geneva,<br />

Switzerland, 3 Roche 454 Life Sciences, Branford, CT, United States, 4 Albert<br />

Einstein College <strong>of</strong> Medicine, New York, NY, United States.<br />

Epigenetic mechanisms, such as DNA methylation and histone modification,<br />

play critical roles in the development <strong>of</strong> many human diseases<br />

including cancer, pediatric syndromes and genetics disorders. Under-<br />

standing the role epigenetics plays in the development <strong>of</strong> disease will<br />

ultimately lead to the development <strong>of</strong> diagnostics and hopefully preventative<br />

and therapeutic options. Roche NimbleGen’s highly flexible,<br />

high density HD2 microarray platform, with 2.1 million (2.1M) long-oligonucleotides<br />

probes per array, affords researchers the opportunity to<br />

examine epigenetic events using ChIP-chip and MeDIP-chip assays<br />

at unprecedented scale and resolution. We will demonstrate (1) the<br />

comprehensive, sensitive, reproducible DNA methylation analysis possible<br />

using MeDIP and the 2.1M DNA Methylation arrays, (2) the utility<br />

<strong>of</strong> the positive, negative and non-CG controls regions present on<br />

these arrays in analyzing MeDIP experimental performance, and (3)<br />

the power <strong>of</strong> combining MeDIP, sequence capture, and bisulphite sequencing<br />

to analyze DNA methylation at single-base resolution across<br />

the genome.<br />

P11.014<br />

Amplification <strong>of</strong> intermethylated sites, Bioinformatics and<br />

capillary electrophoresis: the ABc <strong>of</strong> the cancer methylomes<br />

A. S. Tanas1 , V. V. Shkarupo1,2 , E. B. Kuznetsova1,2 , D. V. Zaletaev1,2 , V. V.<br />

Strelnikov1,2 ;<br />

1 2 Research Centre for Medical <strong>Genetics</strong>, Moscow, Russian Federation, Moscow<br />

Medical Academy, Moscow, Russian Federation.<br />

Amplification <strong>of</strong> intermethylated sites (AIMS) is the method that best<br />

fits the requirements to make it a universal unbiased differential methylation<br />

screening approach. Still it is not frequently elaborated because<br />

it possesses drawbacks in fragments resolution and mapping <strong>of</strong> the<br />

identified differentially methylated loci. AIMS generates significant<br />

numbers <strong>of</strong> PCR products, thus the mode <strong>of</strong> DNA fragments detection<br />

has to be optimized to achieve appropriate resolution and easy mapping<br />

to the genome. We have achieved single-nucleotide resolution by<br />

capillary electrophoresis (CE). At the same time CE does not generally<br />

provide preparative option, thus sequencing the bands in order to identify<br />

the genomic locations <strong>of</strong> the fragments has to be substituted by<br />

another approach. Knowledge <strong>of</strong> exact nucleotide length <strong>of</strong> a predicted<br />

or practically obtained AIMS product allows its in silico identification<br />

in genomic context. In order to utilize this option we have designed<br />

specific s<strong>of</strong>tware, AIMS in silico, which predicts all possible outcomes<br />

<strong>of</strong> AIMS and labels the fragments <strong>of</strong> certain lengths with unique sequence<br />

descriptors allowing their genomic positioning. Elaboration <strong>of</strong><br />

this AIMS-bioinformatics-CE approach allows rapid characterization <strong>of</strong><br />

normal and cancer methylomes, assessment <strong>of</strong> tissue-specific methylation,<br />

identification <strong>of</strong> novel genes prone to abnormal methylation<br />

in cancer, and rough evaluation <strong>of</strong> the cancer methylome landscapes<br />

for different types <strong>of</strong> disease. We present the results obtained on<br />

paired (tumor/control) breast tissue samples, control peripheral blood<br />

samples and extraembryonic tissues in order to demonstrate the validity<br />

and potentials <strong>of</strong> our approach, and describe novel cancer related<br />

genes identified in breast cancer.<br />

P11.015<br />

Expression <strong>of</strong> centa2 and suz12 during mammalian heart<br />

development<br />

M. Venturin 1 , S. Brunelli 2,3 , G. Gaudenzi 4 , M. Stroppi 1 , F. Cotelli 4 , P. Riva 1 ;<br />

1 Department <strong>of</strong> Biology and <strong>Genetics</strong> for Medical Sciences, University <strong>of</strong> Milan,<br />

Milan, Italy, 2 Stem Cell Research Institute, H. San Raffaele Scientific Institute,<br />

Milan, Italy, 3 Department <strong>of</strong> Experimental Medicine, University <strong>of</strong> Milano-Bicocca,<br />

Milan, Italy, 4 Department <strong>of</strong> Biology, University <strong>of</strong> Milan, Milan, Italy.<br />

Cardiovascular malformations (CVMs) have a higher incidence in patients<br />

with NF1 microdeletion syndrome, compared to classical NF1<br />

patients, presumably owing to haploinsufficiency <strong>of</strong> the genes lying in<br />

the deletion interval. Searching for CMVs candidate genes inside the<br />

deletion, we focused our attention on three genes, CENTA2, SUZ12<br />

AND UTP6. Whole mount in situ hybridization (WISH) on mouse embryos<br />

showed high expression <strong>of</strong> Centa2 in heart at 9-10 dpc, and<br />

<strong>of</strong> Suz12 in the atrium around 10 dpc, suggesting their involvement<br />

in heart development and CVMs onset. RT-PCR analysis on zebrafish<br />

embryos showed Centa2 and Suz12 expression in oocytes and<br />

throughout all the analyzed stages (8 cells-120 hpf). Centa2, but not<br />

Suz12 was also present in adult heart. We thus carried out WISH experiments<br />

on zebrafish embryos to characterize Canta2/Suz12 spatiotemporal<br />

expression pr<strong>of</strong>iles. At 24 hpf we observed a diffuse Centa2<br />

specific hybridization signal in the cephalic and medial portion <strong>of</strong> the<br />

embryo, which becomes stronger starting from 48 hpf. At 48-72 hpf

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