2008 Barcelona - European Society of Human Genetics
2008 Barcelona - European Society of Human Genetics
2008 Barcelona - European Society of Human Genetics
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Genomics, technology, bioinformatics<br />
line generates assays for genomic DNA targets, and includes genome<br />
specificity checks and screens to minimize oligo interactions. TaqMan<br />
Copy Number Assays are run together with a reference assay and<br />
gDNA in a duplex real-time PCR . The TaqMan Copy Number Assay<br />
detects the target gene or genomic sequence <strong>of</strong> interest and the reference<br />
assay detects a sequence that is known to be present in two<br />
copies in a diploid genome. Relative quantification is achieved using<br />
a data analysis tool which has been developed for copy number determination<br />
. We will discuss progress in development <strong>of</strong> the assay design<br />
pipeline, and data analysis tool, and assay development including<br />
studies <strong>of</strong> reference assays, gDNA input titration, and the accuracy<br />
and precision <strong>of</strong> TaqMan CN assays .<br />
P08.18<br />
in silico search for the cryptic Rss in repetitive elements <strong>of</strong><br />
human genome<br />
A. Y. Gubsky1 , V. G. Zinkovsky2 ;<br />
1 2 Odessa National I.I. Mechnikov University, Odessa, Ukraine, University <strong>of</strong><br />
Opole, Opole, Poland.<br />
Cryptic recombination signal sequences (cRSS) are targets sites <strong>of</strong><br />
RAG1/2 proteins when the V(D)J-recombination system gets out <strong>of</strong><br />
control . Early, we showed that in the human genome (outside the Ig<br />
and TCR loci) there are 5649 cRSS which supposedly have high recombination<br />
potential (their heptamers and nonamers corresponded<br />
to CACAGTG and ACAAAAACC sequences or differed from them for<br />
1-2 not functional nucleotides) . Some <strong>of</strong> them can hypothetically participate<br />
in the formation <strong>of</strong> intragenic deletions and inversions . At present,<br />
having matched coordinates <strong>of</strong> such cRSS with coordinates <strong>of</strong><br />
9933066 known in the human genome repetitive elements in silico, we<br />
observed that 3500 (61 %), 265 (5 %), 102 (2 %), 51 (1 %) 7 (0,1 %)<br />
cRSS are the structural elements <strong>of</strong> non-LTR retrotransposons (AluY,<br />
AluSx, L1, MIRb, etc), endogenous retroviruses and LTR retrotransposons<br />
(LTR1B, MLT1C, ERVL-E, etc), DNA transposons (Charlie1,<br />
MER58A, Tigger1, etc), simple repeats ((CA)n, (CAAAA)n, etc) and<br />
other repeats (not identified) respectively. Having researched the localization<br />
<strong>of</strong> such cRSS, we observed that in 85 % cases the nucleotide<br />
sequences <strong>of</strong> motives are fully localized inside repeats and in 15<br />
% cases are localized partly . In whole, cRSS were found in structure<br />
<strong>of</strong> 414 unique types <strong>of</strong> repeats <strong>of</strong> 16 families . We consider, that many<br />
types <strong>of</strong> repetitive elements can participate in spreading <strong>of</strong> motives<br />
which can theoretically mediate instability in human genome when the<br />
V(D)J-recombination system gets out <strong>of</strong> control .<br />
P08.19<br />
Development <strong>of</strong> a taqman® cytochrome P450 Panel Array and<br />
Positive controls<br />
T. Hartshorne, D. Merrill, S. Desai, T. Ceccardi;<br />
Applied Biosystems, Foster City, CA, United States.<br />
The Cytochrome P450 enzymes: CYP2D6, CYP2C9 and CYP2C19<br />
metabolize the majority <strong>of</strong> currently prescribed drugs . Pharmacogenetic<br />
analysis <strong>of</strong> polymorphic alleles <strong>of</strong> their genes has demonstrated<br />
numerous links between functional polymorphisms, having absent or<br />
altered enzyme activity, and cases <strong>of</strong> non-response or adverse drug<br />
reactions. Genotyping these variants can have a significant role in predictive<br />
drug metabolism and safe, efficacious drug therapy.<br />
Applied Biosystems <strong>of</strong>fers over 2600 TaqMan® Drug Metabolism<br />
(DME) Genotyping Assays that detect polymorphisms in coding and<br />
regulatory regions <strong>of</strong> over 220 DME genes . To facilitate pharmacogenetic<br />
research, TaqMan® DME Assay panels on TaqMan® Arrays<br />
were developed including a P450 array containing 48 assays to important<br />
CYP2D6, CYP2C9 and CYP2C19 variants . Arrays are 384-well<br />
micr<strong>of</strong>luidic cards that are pre-loaded with assays, greatly reducing<br />
experimental preparation time and eliminating the need for liquid-handling<br />
robots or multi-channel pipettes . Benchmark tests conducted to<br />
compare the performance <strong>of</strong> assays run on arrays to data from 384well<br />
plates showed that assays on arrays can be genotyped with the<br />
same high success rate as on plates . An interactive data analysis tool,<br />
AutoCaller s<strong>of</strong>tware, enabled overlaying and viewing cluster plots<br />
from multiple arrays and facilitated genotyping analysis . Synthetic<br />
positive control templates for each assay were run on arrays in pools<br />
to represent all 3 genotypes; controls demonstrated assay functionality<br />
for each probe and aided genotype calling . TaqMan® DME SNP<br />
Arrays and positive control templates (available through Gene Link)<br />
<strong>of</strong>fers an easy to use platform for accurate, reliable genotyping <strong>of</strong> drug<br />
metabolism and response variation .<br />
P08.20<br />
GEN2PHEN: An international effort towards the universal<br />
databasing <strong>of</strong> gene-disease relationships<br />
A. J. Brookes1 , D. Atlan2 , C. Beroud3 , E. Birney4 , S. Brahmachari5 , A. Cambon-<br />
Thomsen6 , R. Dalgleish1 , J. den Dunnen7 , A. Devereau8 , C. Diaz9 , H. Gudbjartsson10<br />
, I. Gut11 , T. Kanninen12 , H. Lehvaslaiho13 , J. Litton14 , J. Muilu15 , J. Oliveira16<br />
, H. Parkinson4 , G. P. Patrinos17 , G. Potamias18 , E. Wingender19 , Y. L. Yip20 ;<br />
1 2 University <strong>of</strong> Leicester, Leicester, United Kingdom, PhenoSystems SA, Lillois,<br />
Belgium, 3INSERM, Montpellier, France, 4EBI, EMBL, Hinxton, United Kingdom,<br />
5 6 Council <strong>of</strong> Scientific and Industrial Research, Delhi, India, INSERM, Toulouse,<br />
France, 7Leiden University Medical Center, Leiden, The Netherlands, 8Univer sity <strong>of</strong> Manchester, Manchester, United Kingdom, 9Fundació IMIM, <strong>Barcelona</strong>,<br />
Spain, 10deCODE <strong>Genetics</strong>, Reykjavik, Iceland, 11Commissariat à l’Energie<br />
Atomique, Paris, France, 12Biocomputing Platforms Ltd, Espoo, Finland,<br />
13 14 University <strong>of</strong> Western Cape, Cape Town, South Africa, Karolinska Institute,<br />
Stockholm, Sweden, 15University <strong>of</strong> Helsinki, Helsinki, Finland, 16University <strong>of</strong> Aveiro, Aveiro, Portugal, 17Erasmus University Medical Center, Rotterdam,<br />
The Netherlands, 18Foundation for Research and Technology, Crete, Greece,<br />
19 20 BioBase GmbH, Wolfenbuettel, Germany, Swiss Institute <strong>of</strong> Bioinformatics,<br />
Geneva, Switzerland.<br />
With disease studies and genomics research producing ever larger datasets,<br />
there is an urgent need for advanced informatics solutions that<br />
can handle such extensive information . Launched in January <strong>2008</strong>,<br />
the GEN2PHEN project (Genotype-To-Phenotype Databases: A Holistic<br />
Solution) aims to help address this need .<br />
The GEN2PHEN consortium (http://www .gen2phen .org/) involves 19<br />
research and company partners; including 17 from Europe, one from<br />
India, and one from South Africa . Funding <strong>of</strong> 12 Million Euro from the<br />
<strong>European</strong> Commission (7th Framework Programme) is bolstered by<br />
additional funds provided by the partner institutions . Being a key <strong>European</strong><br />
program, GEN2PHEN is intimately connected with other major<br />
infrastructure projects such as BBMRI and ELEXIR .<br />
The main objective <strong>of</strong> GEN2PHEN is to establish the technological<br />
building-blocks needed to evolve today’s diverse databases into a<br />
seamless genotype-to-phenotype (G2P) biomedical knowledge environment,<br />
tied into genome browsers like Ensembl .<br />
The project’s specific objectives include:<br />
1) Analysis <strong>of</strong> the current G2P informatics<br />
2) Analysis <strong>of</strong> ethical aspects that need to be addressed<br />
3) Development <strong>of</strong> key standards<br />
4) Creation <strong>of</strong> generic database components and integration solutions<br />
5) Creation <strong>of</strong> search modalities and data presentation solutions<br />
6) Facilitation <strong>of</strong> data flows into G2P databases<br />
7) Creation <strong>of</strong> a ‘G2P Knowledge Centre’ providing information exchange<br />
solutions, search/analysis tools, and support for primary data<br />
and comment deposition<br />
8) Deployment <strong>of</strong> GEN2PHEN solutions to the community<br />
9) Addressing questions <strong>of</strong> system durability and long-term financing<br />
The research leading to these results has received funding from the<br />
<strong>European</strong> Community’s Seventh Framework Programme (FP7/2007-<br />
2013) under grant agreement n° 200754 .<br />
P08.21<br />
two-Dimensional Electrophoresis <strong>of</strong> Nucleic Acids to Assess<br />
Quality <strong>of</strong> Samples and Efficiency <strong>of</strong> Molecular Methods<br />
J. J. Jonsson1,2 , H. G. Thormar1,3 , G. H. Gunnarsson1,3 , F. S. Eiriksdottir3 , B.<br />
Gudmundsson3 , S. Sigurdardottir1,2 , P. Estibeiro3 ;<br />
1 2 Univ. <strong>of</strong> Iceland, Reykjavik, Iceland, <strong>Genetics</strong> and Molecular Medicine, Landspitali,<br />
Reykjavik, Iceland, 3BioCule Inc., Reykjavik, Iceland.<br />
Two-dimensional (2D) electrophoresis allows separation <strong>of</strong> molecules<br />
based on different characteristics . Although widely used in proteome<br />
studies, 2D electrophoresis <strong>of</strong> nucleic acids has so far only had limited<br />
applications mostly in studies on DNA metabolism . We have invented<br />
several new techniques <strong>of</strong> 2D electrophoresis <strong>of</strong> nucleic acids .<br />
These techniques can be used to simultaneously assess length distribution<br />
and strandness i .e . amount <strong>of</strong> single-stranded DNA, doublestranded<br />
DNA (both A and B forms) and RNA-DNA hybrids in various<br />
samples . DNA lesions detected with our technology include nicks,<br />
double-stranded breaks, base modifications and drop outs leading to