European Human Genetics Conference 2007 June 16 – 19, 2007 ...
European Human Genetics Conference 2007 June 16 – 19, 2007 ...
European Human Genetics Conference 2007 June 16 – 19, 2007 ...
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Genomics, technology, bioinformatics<br />
models includes genes involved, their function, site and timing of expression<br />
and sequence data. Over 1,900 mutant phenotypes currently<br />
are associated with human disease phenotypes, representing approximately<br />
12% of OMIM terms with one or more associated mouse<br />
models. These data and new mouse model data that continue to accumulate<br />
provide fertile ground for selecting appropriate experimental<br />
mice, as well as identifying potential mouse targets that may be used<br />
to explore new models.<br />
Supported by NIH grant HG000330.<br />
P1244. Specific features of dermatoglyphics problems in<br />
different diseases<br />
D. Noje, I. Tomulescu, E. Laslo, C. Pusta;<br />
University of Oradea, Oradea, Romania.<br />
This paper is an application of the concept of a Genetic Algorithm,<br />
modified to approximate certain functions. The classical problem of<br />
the dermathogliphic recognition has a settlement in different modes<br />
existing at this time very strong real time applications.<br />
What we want to bring something new in this article is a possible solution<br />
of the dermatoglyphic recognition even if they are damaged by<br />
some typical diseases or lightly damaged by will.<br />
The application has been built on a certain method of recognition of<br />
some essential items in the symbolism of the human dermatoglyphics<br />
those through genetic approximation techniques we complete those if<br />
there is the case and that follows a search in the data base to identify<br />
the owner.<br />
P1245. Development of TaqMan ® SNP and DME Genotyping<br />
Assays on TaqMan ® Low Density Arrays<br />
T. Hartshorne, R. Padilla, J. Au-Young, T. Ceccardi, J. Ziegle;<br />
Applied Biosystems, Foster City, CA, United States.<br />
Applied Biosystems’ TaqMan® Low Density Arrays (TLDAs) are 384well<br />
micro fluidic cards that provide a convenient low- to mediumthroughput<br />
platform for TaqMan® Gene Expression Assay panels.<br />
TLDAs are pre-loaded with assays, which greatly reduces experiment<br />
preparation time and eliminates the need for liquid-handling robots or<br />
multi-channel pipettors. Towards the goal of providing TaqMan® DME<br />
Genotyping Assay panels on TLDAs, we conducted benchmark tests<br />
to compare the performance of genotyping assays run on TLDAs and<br />
on conventional 384-well plates. TLDA cards contained 8 x 48 distinct<br />
TaqMan® Validated SNP and Drug Metabolism (DME) Assays, which<br />
were previously validated on sample sets including 45 Caucasian and<br />
45 African American Coriell genomic DNAs. These same sample sets<br />
were run on the TLDAs and the resulting genotyping data were compared<br />
to data from the 384-well plate assay validation studies. Assay<br />
performance was found to be equivalent between platforms: all assays<br />
performed successfully on TLDAs (100% pass rate), call rate was<br />
greater than 99.0%, and accuracy was greater than 99.6%. Experiments<br />
are underway to define the lower limit number of DNA samples<br />
required for sample clustering and accurate genotyping in the absence<br />
or presence of control DNA samples. An interactive data analysis software<br />
tool, Autocaller software, is also in development. This software<br />
tool enables overlaying and viewing cluster plots from multiple plates<br />
or cards and is used to facilitate analysis of genotyping data from TLDA<br />
cards. Genotyping DME SNPs using TLDAs will streamline studies of<br />
drug metabolism and response variation among patients.<br />
P1246. Fast, reliable and very cost-effective method for DNA<br />
extraction from bioptic specimen<br />
J. Ramic, L. Kapur, N. Lojo, D. Macic, N. Pojskic, A. Durmic-Pasic, K. Bajrovic;<br />
Institute for Genetic Engineering and Biotechnology, Sarajevo, Bosnia and<br />
Herzegovina.<br />
Procedure of DNA isolation is a basic step for molecular-genetics research<br />
as well as for archiving for future reference. Therefore, the protocols<br />
that guarantee optimum quality and quantity should be used in<br />
order to ensure long-term storage of DNA samples.<br />
Three diferent protocols for DNA extraction from tumor tissue specimen<br />
obtained in biopsy, have been compared trough evaluation of<br />
following parameters: time-consumption, feasibility, DNA quality and<br />
quantity and cost of procedure.<br />
Protocol for DNA isolation using salting out method by Miller et al.<br />
(<strong>19</strong>87) that was modified in our lab showed to be the fast, reliable in<br />
terms of DNA quality, quantity and long-term stability as well as highly<br />
11<br />
cost-effective and applicable for archiving of DNA for future research<br />
using large-scale genetic analysis technology.<br />
P1247. CpG islet methylation in the human genome<br />
N. C. Wong, M. Qazag, P. Canham, J. M. Craig, K. A. Choo, R. Saffery;<br />
The Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne,<br />
Australia.<br />
DNA methylation of CpG islands is widely studied in higher eukaryotes<br />
and has been found to regulate gene expression, imprinting and<br />
cancer progression. Yet within the human genome, only 8% of all CpG<br />
dinucleotides reside within a CpG island. As DNA methylation is the<br />
addition of a methyl moiety to cytosine residues within a CpG dinucleotide,<br />
a large pool of genomic methylation resides outside of CpG<br />
islands and remains uncharacterised. CpG islets have the same DNA<br />
sequence characteristics as CpG islands in terms of GC-content, but<br />
are shorter in length and are thus more abundant within the genome<br />
(Wong et al, 2006). We have recently shown that methylation of these<br />
islets can vary in association with modified chromatin states, however<br />
the extent to which CpG islet methylation plays a role in other epigenetic<br />
phenonmenon such as gene regulation or X-inactivation has yet to<br />
be determined. To start to address this, we are investigating the relationship<br />
between the methylation status of CpG islets associated with<br />
known genes and expressed sequence tags (ESTs) and gene expression<br />
level. Preliminary results implicate CpG islet methylation in the<br />
regulation of some gene regulation, thereby suggesting an essential<br />
role for CpG islets within the mammalian genome.<br />
P1248. Detection and mapping of partial trisomy and partial<br />
monosomy of HSA21 using BAC tiling arrays<br />
R. Lyle 1 , F. Bena 2 , C. Gehrig 2 , G. Lopez 2 , S. Gagos 2 , J. M. Delabar 3 , A.<br />
Schinzel 4 , J. Lespinasse 5 , A. Bottani 2 , S. Dahoun 2 , L. Taine 6 , M. Doco-Fenzy 7 ,<br />
P. Cornillet-Lefebvre 8 , A. Pellet 9 , A. Toutain 10 , L. Colleaux 9 , J. Horst 11 , I. Kennerknecht<br />
11 , L. Florentin 12 , S. Kitsiou 13 , E. Graison 14 , M. Costantine 3 , P. Sinet 14 ,<br />
S. E. Antonarakis 2 ;<br />
1 Ullevål University Hospital, Oslo, Norway, 2 University of Geneva Medical<br />
School, Geneva, Switzerland, 3 EA 3508 University Paris Denis Diderot, Paris,<br />
France, 4 Institute of Medical <strong>Genetics</strong>, Schwerzenbach, Switzerland, 5 Cytogenetic<br />
Laboratory, General Hospital, Chambery, France, 6 Department of<br />
<strong>Genetics</strong>, CHU Pellegrin, Bordeaux, France, 7 Department of <strong>Genetics</strong>, IFR53,<br />
Reims, France, 8 Department of Hematology, Reims Hospital, Reims, France,<br />
9 INSERM U781 Necker-Enfants Malades, Paris, France, 10 CHU Hôpital Bretonneau,<br />
Tours, France, 11 Institute of <strong>Human</strong> <strong>Genetics</strong>, University of Münster,<br />
Münster, Germany, 12 AlfaLAB Molecular Biology and Cytogenetics Center,<br />
Athens, Greece, 13 Department of Medical <strong>Genetics</strong>, Aghia Sophia Children’s<br />
Hospital, Athens, Greece, 14 CNRS UMR7637, Paris, France.<br />
Down syndrome (DS) is one of the most frequent congenital birth defects,<br />
and the most common genetic cause of mental retardation. Affected<br />
individuals share certain clinical features such as mental retardation,<br />
congenital heart disease and characteristic facial and physical<br />
apparance. In most cases, DS results from the presence of an extra<br />
copy of chromosome 21. A major goal of understanding the molecular<br />
pathology of DS is the identification of HSA21 genes or other functional<br />
genomics elements that contribute to specific aspects of the phenotype.<br />
Rare cases of partial trisomy 21 could identify genomic regions<br />
associated with specific DS phenotypes.<br />
In order to establish high resolution mapping of pathogenic partial aneuploidies<br />
and unbalanced translocations involving HSA21, we constructed<br />
a BAC microarray covering 21q. The array consists of 411<br />
HSA21 BACs with a mean overlap of 85 kb giving an approximatively<br />
2-fold tiling path.<br />
Our study includes identification and mapping of 45 pathogenic chromosomal<br />
aberrations of chromosome 21 including 8 complete HSA21<br />
trisomy and 32 partial aneuploidies for different segments of HSA21.<br />
In each case, the size of the segmental aneuploidy has been estimated<br />
and in 20 cases confirmed by real-time quantitative PCR. The<br />
breakpoints have been mapped to within 200kb on average. We also<br />
tested 5 cases with a normal karyotype on the basis of clinical findings<br />
indicative of a Down syndrome phenotype. Correlations of partial<br />
21q duplication and monosomies with phenotypic features will be<br />
presented and contribute in the understanding of genotype-phenotype<br />
correlations in Down syndrome physiopathology.