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2009 Vienna - European Society of Human Genetics

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Statistical genetics, includes Mapping, linkage and association methods<br />

child and 9 parents and 2 siblings were carrier (heterozygous) with<br />

mutant alleles ranging from 66 to 850 repeats. Family studies confirmed<br />

the meiotic instability and stronger effect <strong>of</strong> expansion in the<br />

smaller alleles on phenotype and a negative correlation between GAA<br />

repeat expansion size and onset-age <strong>of</strong> the disease. In additionaly;<br />

In nineteen FA patients (11 males and 8 females) with the age range<br />

<strong>of</strong> 6 to 34 years (mean 22.26 ± 7.06 ) and their relatives with the age<br />

range <strong>of</strong> 4-72 years (mean 34.6 ±17.9), cytogenetic studies were performed.<br />

Three <strong>of</strong> them had different cytogenetic findings which were<br />

46,XY,Yqh+, 46,XX,t(7;15),(q34;q21), 46,XY,inv(9)(q21;p12).<br />

P08.30<br />

GABRG2 and ADH polymorphisms in alcohol dependence<br />

E. O. Aktas 1 , E. Senol 1 , A. Kocak 1 , H. Ak Celik 2 , H. H. Aydin 2 , H. Coskunol 3 , A.<br />

Berdeli 4 ;<br />

1 Ege University School <strong>of</strong> Medicine Department <strong>of</strong> Forensic Medicine, Izmir,<br />

Turkey, 2 Ege University School <strong>of</strong> Medicine Department <strong>of</strong> Biochemistry, Izmir,<br />

Turkey, 3 Ege University School <strong>of</strong> Medicine Department <strong>of</strong> Psychiatry, Izmir,<br />

Turkey, 4 Ege University School <strong>of</strong> Medicine Department <strong>of</strong> Pediatrics, Izmir,<br />

Turkey.<br />

Our study aimed to investigate role <strong>of</strong> GABRG2 and ADH gene polymorphisms<br />

in patients who had alcohol dependence. In the literature,<br />

there are controversial results on the role <strong>of</strong> these gene polymorphisms<br />

in alcohol dependence. We think that, difference in population groups<br />

and selective inclusion criteria for alcohol dependence may affect results.<br />

Thus, we studied GABRG2 and ADH gene polymorphisms in<br />

Turkish population.<br />

150 volunteers with no physical or psychological/mental diseases<br />

history and 100 patients who admitted to Ege University Alcohol Dependence<br />

Unit between years <strong>of</strong> 2005-2006 enrolled to the study. We<br />

found, significant increase in T allele and TT genotype in GABRG2<br />

polymorphism in patients compared to healthy controls. Moreover,<br />

significant differences were also determined for ADH1 Arg allele and<br />

Arg/Arg genotype.<br />

Compared to previously studies, we found more pr<strong>of</strong>ound connection<br />

between alcohol dependence and GABRG2 gene polymorphism. Alcohol<br />

dependence is an important health problem depends many genetic<br />

and environmental factors but we think that it is possible to interpretation<br />

genetic risk for developing early diagnostic methods and treatment<br />

strategies by comprehensive linkage and association studies.<br />

P08.31<br />

the mathematical model <strong>of</strong> prediction <strong>of</strong> genetic targets in a<br />

limited amount <strong>of</strong> their measurements<br />

A. B. Vekshina 1 , R. A. Zinchenko 2 , V. N. Evdokimenkov 1 , T. Mamedov 3 ;<br />

1 Moscow Aviation Institute, Moscow, Russian Federation, 2 Research Centre for<br />

Medical <strong>Genetics</strong> <strong>of</strong> Russian Academy <strong>of</strong> Medical Sciences, Moscow, Russian<br />

Federation, 3 Bauman Moscow State Technical University, Moscow, Russian<br />

Federation.<br />

Pattern studies <strong>of</strong> genetic processes <strong>of</strong> the Russian populations and<br />

ethnic groups, is one <strong>of</strong> the problems <strong>of</strong> medical genetics. Genogeographic<br />

maps today have become well-designed chart patterns, reflecting<br />

genogeographic structure and epidemiology <strong>of</strong> hereditary diseases.<br />

The specialists <strong>of</strong> the Medical Research Centre for Medical <strong>Genetics</strong><br />

developed a mathematical model that provides a forecast incidence<br />

<strong>of</strong> a wide range <strong>of</strong> hereditary diseases within the studied population.<br />

As a basis for developing the model they employed the experimental<br />

results <strong>of</strong> population studies <strong>of</strong> Kirov, Kostroma, Bryansk, Tver, Rostov,<br />

Arkhangelsk, Krasnodar Region, the Republic <strong>of</strong> Mari EL, Adygea,<br />

Chuvashia and Udmurtia. The s<strong>of</strong>tware developed from the known<br />

analogues has the following major points:<br />

-flexible structure with the possibility <strong>of</strong> automatic adaptation <strong>of</strong> the<br />

model prediction, depending on the number <strong>of</strong> settlements, where the<br />

population-genetic studies were carried out;<br />

-the possibility <strong>of</strong> calculating the predicted prevalence <strong>of</strong> hereditary<br />

diseases for each municipality <strong>of</strong> the population under study, considering<br />

its geographical location and population number;<br />

-nonequilibrium <strong>of</strong> the data, involved as “strong” values in the model<br />

prediction, taking into account the geographic and population proximity<br />

<strong>of</strong> the settlement, for which the forecast is performed, and the<br />

settlements, where the experimental population-genetic studies were<br />

conducted.<br />

The developed model is implemented as an autonomous s<strong>of</strong>tware<br />

system, with a simple interface that supports data input and storage,<br />

as well as visualization unit, providing automatic display <strong>of</strong> genogeographic<br />

maps reflecting the incidence <strong>of</strong> hereditary diseases within the<br />

population under study, based on the data entered by the user.<br />

P08.32<br />

Genome-wide linkage scan <strong>of</strong> human cognitive abilities in a<br />

large Dutch pedigree<br />

I. Zorkoltseva 1 , M. Schuur 2,3 , A. Kirichenko 1 , J. van Swieten 3 , I. de Koning 3 , B.<br />

Oostra 2 , Y. Aulchenko 1,2 , T. Axenovitch 1 , C. van Duijn 2 ;<br />

1 Institute <strong>of</strong> Cytology and <strong>Genetics</strong>, Novosibirsk, Russian Federation, 2 Department<br />

<strong>of</strong> Epidemiology, Erasmus University Medical Center, Rotterdam, The<br />

Netherlands, 3 Department <strong>of</strong> Neurology, Erasmus University Medical Center,<br />

Rotterdam, The Netherlands.<br />

We performed a genome-wide multipoint linkage analysis <strong>of</strong> normal<br />

variation <strong>of</strong> cognitive function in an extended pedigree from the Erasmus<br />

Rucphen Family study. The study included 2883 subjects (mean<br />

age 48) characterized by eight cognitive tests. The test battery was developed<br />

to target endophenotypes for Alzheimer’s disease (AD) but as<br />

expected for endophenotypes may also involve other disorders. Four<br />

composite scores for visuospatial ability, memory, executive function<br />

and global cognition were constructed. Pedigrees were split to the<br />

maximum bit-size <strong>of</strong> 18 and non-parametric linkage analysis was performed<br />

using MERLIN. Analysis was performed in the total population,<br />

and after stratification for age. Highest LOD scores were obtained in<br />

the analysis <strong>of</strong> persons

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