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2009 Vienna - European Society of Human Genetics

2009 Vienna - European Society of Human Genetics

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Evolutionary and population genetics, and Genetic epidemiology<br />

candidate gene UDP-glucuronosyltransferase (UGT1A1). The activity<br />

<strong>of</strong> this enzyme is significantly influenced by a TA-repeat polymorphism<br />

in the promoter <strong>of</strong> the gene. In a prospective study individuals with<br />

genotype (TA)7/(TA)7 had significantly higher bilirubin levels and approximately<br />

one third the risk <strong>of</strong> CVD as carriers <strong>of</strong> the wild type (TA)6<br />

allele. In the present study we performed a conditional linkage study to<br />

investigate whether this polymorphism explains the observed linkage<br />

peak and extended our analysis by a genome-wide association study<br />

on bilirubin levels in 1345 individuals.<br />

Results: After adjustment for the bilirubin variance explained by this<br />

polymorphism, the LOD score on chromosome 2q dropped from 3.8 to<br />

0.4, demonstrating that this polymorphism explains the previous linkage<br />

result. For the genome-wide association study, the closest marker<br />

to UGT1A1 was in the top ranking SNPs. The association became<br />

even stronger when we considered the TA-repeat polymorphism in the<br />

analysis (p=2.68x10-53). Five other SNPs in other regions reached<br />

genome-wide significance without obvious connection to bilirubin metabolism.<br />

Conclusions: Our studies suggest that UGT1A1 may be the major<br />

gene with strong effects on bilirubin levels and the TA-repeat polymorphism<br />

might be the key polymorphism within the gene controlling<br />

bilirubin levels. Since this polymorphism has a high frequency and a<br />

substantial impact on the development <strong>of</strong> CVD, the gene might be an<br />

important drug target.<br />

P10.33<br />

Polymorphism <strong>of</strong> some cytokines genes in connection with age<br />

gradation<br />

V. V. Pauk, I. A. Tuktarova, T. R. Nasibullin, O. E. Mustafina;<br />

Institute <strong>of</strong> Biochemistry and <strong>Genetics</strong>, Ufa, Russian Federation.<br />

Aim <strong>of</strong> study was to investigate IL6 (-572G/C), IL10 (-627C/A), IL12B<br />

(1159A/C) and TNFA (-308G/A) gene polymorphisms in connection<br />

with age gradation.<br />

Total group (1627 individuals, from 1 to 109 years old, ethnic Tatars,<br />

Russia) was divided into young (1-20), middle-age (21-55), aged (56-<br />

74), senile (75-89) and long-living (90-109) persons. Gene polymorphism<br />

was analyzed by PCR-RFLP. Fisher’s two-tailed exact test was<br />

used for age groups comparison.<br />

Among aged persons IL6(-527)*G/*G genotype frequency was<br />

higher than in middle-age group (80.0% vs. 69.28%, P=0.004). IL6(-<br />

527)*G/*C genotype frequency was lower in group <strong>of</strong> long-livers than<br />

in middle-age group (15.79% vs. 27.9%, P=0.006). IL6(-527)*C/*C<br />

genotype frequency was lower in aged (0%, P=0.005) and senile<br />

groups (0.56%, P=0.03) than in middle-age group (2.82%). In middleage<br />

group IL10(-627)*C/*C genotype frequency (56.09%) was higher<br />

in comparison with aged (47.83%, P=0.034), senile (43.53%, P=0.005)<br />

and long-livers groups (43.28%, P=0.015). Accordantly, in this group<br />

IL10(-627)*C/*A genotype frequency (34.56%) was lower than in aged<br />

(42.61%, P=0.03), senile (45.54%, P=0.002) and long-livers groups<br />

(46.27%, P=0.021). IL12B(1159A/C)*C/*C genotype frequency is<br />

higher in senile group than in middle-age group (6.78% vs. 3.21%,<br />

P=0.049). In aged and senile groups TNFA(-308)*G/*G genotype frequencies<br />

were 71.39% and 79.37%, TNFA(-308)*A/*G genotype frequencies<br />

- 26.08% and 18.53% accordantly (P=0.02).<br />

Thus, genotypes frequencies changes <strong>of</strong> studied genes in various age<br />

groups are traced. This data allow considering cytokines genes as associated<br />

with life span.<br />

The research was particular supported by Grant RFH 08-06-00426a.<br />

P10.34<br />

Genetic study <strong>of</strong> 45 big hearing loss pedigree and GJB2 gene<br />

mutations frequency in a province <strong>of</strong> iran<br />

E. Farrokhi1 , S. Shirmardi2 , A. Khoshdel1 , S. Amani1 , M. Soleimani2 , M. Kasiri2 ,<br />

J. Rahbarian2 , N. Parvin3 , N. Shahinfard3 , Z. Noaparast4 , A. Salehifard1 , M.<br />

Afzal1 , M. Shirani5 , M. Hashemzadeh1 ;<br />

1Cellular and Molecular Research Center,Shahrekord University <strong>of</strong> Medical Sciences,<br />

Shahrekord, Islamic Republic <strong>of</strong> Iran, 2Ministry <strong>of</strong> Welfare Chaharmahal<br />

va Bakhtiari province, Shahrekord, Islamic Republic <strong>of</strong> Iran, 3Medical Plants<br />

Research Center, Shahrekord University <strong>of</strong> Medical Sciences, Shahrekord,<br />

Islamic Republic <strong>of</strong> Iran, 4Ministry <strong>of</strong> Welfare, Tehran, Islamic Republic <strong>of</strong> Iran,<br />

5School <strong>of</strong> Public Health, Zabol University <strong>of</strong> Medical Sciences, Zabol, Islamic<br />

Republic <strong>of</strong> Iran.<br />

Background and aim: Hearing loss is the most common sensorineural<br />

disorder in human. This disorder is heterogeneous and happens due<br />

to genetic or environmental causes or both. Mutations in the GJB2<br />

gene have been involved in deafness in many populations. This study<br />

aims to investigate genetic epidemiology and frequency <strong>of</strong> GJB2 gene<br />

mutations in 45 big deaf pedigrees.<br />

Methods: In this genetic epidemiology study we have investigated 45<br />

big deaf pedigrees concerning inheritance patterns consanguinity and<br />

diversity <strong>of</strong> deafness severity among siblings using data collected by<br />

questionnaires and audiograms. We examined also the frequency and<br />

pr<strong>of</strong>ile <strong>of</strong> GJB2 gene mutations in 45 probands using direct sequencing<br />

strategy.<br />

Results: Our study revealed 73% <strong>of</strong> consanguinity in the deaf pedigrees<br />

studied from which first cousins marriage was the more common<br />

with the rate <strong>of</strong> 49%. The most common type <strong>of</strong> first cousins marriage<br />

was found between first cousin who were the children <strong>of</strong> two brothers.<br />

We found autosomal recessive and X-linked recessive pattern in 94-<br />

97% and 3-6% <strong>of</strong> the pedigrees studied respectively.<br />

We found also 57% <strong>of</strong> diversity (mild to pr<strong>of</strong>ound) <strong>of</strong> deafness severity<br />

among deaf siblings GJB2 mutations were found in 11% <strong>of</strong> population<br />

studied including 35delG, 167delT, 299-300delAT and 363delC.<br />

Conclusion: A high rate <strong>of</strong> consanguineous marriage determined in this<br />

study could rise the rate <strong>of</strong> autosomal recessive patterns up to 94-97%<br />

<strong>of</strong> the overall pedigree and would be the main cause <strong>of</strong> congenital<br />

deafness. This study revealed a low contribution <strong>of</strong> GJB2 gene mutations<br />

in Chaharmahal va Bakhtiari Province.<br />

P10.35<br />

GJB2 carrier screening with ultrasonographic measurement <strong>of</strong><br />

epidermal thickness.<br />

V. I. Guerci 1 , P. Guastalla 2 , D. Stefanidou 3 , D. L. Grasso 4 , A. Fabretto 1 , F. Faletra<br />

1 , A. P. D’Adamo 5 , L. Ronfani 6 , P. Gasparini 1,5 ;<br />

1 Dipartimento di Scienze della Riproduzione e Sviluppo, Trieste, Italy, 2 Radiology<br />

Unit, IRCCS Burlo Gar<strong>of</strong>olo, Trieste, Italy, 3 Sinfony, Bologna, Italy, 4 ENT<br />

Unit, IRCCS Burlo Gar<strong>of</strong>olo, Trieste, Italy, 5 <strong>Genetics</strong> Unit, IRCCS Burlo Gar<strong>of</strong>olo,<br />

Trieste, Italy, 6 Epidemiology Unit, IRCCS Burlo Gar<strong>of</strong>olo, Trieste, Italy.<br />

Inherited hearing loss (IHL), affecting 1/1000 children, represents an<br />

important public health issue and implies disability, expensive interventions<br />

and rehabilitation. The most frequent cause <strong>of</strong> IHL, due to<br />

mutations in GJB2 gene, presents a high carrier frequency worldwide.<br />

There are no means to identify them apart from expensive DNA- methods.<br />

Recently high epidermal thickening due to GJB2 carrier status<br />

was suggested. We used skin ultrasonography measurement <strong>of</strong> epidermal<br />

thickness in a series <strong>of</strong> controls and obligate carriers. 273 individuals<br />

were tested by ultrasonography using a linear band probe to<br />

determine their epidermal thickness. Variance and linear regression<br />

analyses were carried out. Regression coefficients were used to obtain<br />

scores <strong>of</strong> thickness corrected by age and sex. Carriers presented significant<br />

increase in epidermal thickness as compared to controls, GJB2<br />

status explaining 50% <strong>of</strong> this variability. Results led to the development<br />

<strong>of</strong> a screening protocol with 98% <strong>of</strong> sensitivity and 93% specificity, in<br />

subjects aged 20-80, with a likelihood ratio <strong>of</strong> a positive test <strong>of</strong> 14 to 1.<br />

Better results were obtained studying people in reproductive age. The<br />

availability <strong>of</strong> a simple, non-invasive, rapid, sensitive, and cheap ultrasonographic<br />

protocol opens new perspectives for carrier screening in<br />

the population. Present data further supports the role <strong>of</strong> skin thickness<br />

as major selective advantage for GJB2 carriers.<br />

Bibliography<br />

D’Adamo et al. Does epidermal thickening explain GJB2 high carrier<br />

frequency and heterozygote advantage? Eur J Hum Genet. 2008 Dec<br />

3.<br />

Guastalla et al. Epidermal sonography can detect epidermal thickening<br />

in GJB2 carriers. Radiology. Radiology; <strong>2009</strong>.Feb3.<br />

P10.36<br />

Genome-wide interaction Analysis Guided by A Priori<br />

information<br />

C. Herold, T. Becker;<br />

Institute for Medical Biometry, Informatics and Epidemiology, Bonn, Germany.<br />

Complex diseases are caused by interacting genetic and environmental<br />

factors. Due to computational burden, genome-wide association studies<br />

(GWAS) are typically limited to single-marker analysis. We present

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