Evolutionary and population genetics, and Genetic epidemiology P10.73 Genetic disorders in saudi Arabia- An update A. S. Warsy1 , M. A. F. El-Hazmi2 ; 1Department <strong>of</strong> Biochemistry, College <strong>of</strong> Science, Center for Science and Medical Studies for Girls, King Saud University, Riyadh, Saudi Arabia, 2Department <strong>of</strong> Biochemistry, College <strong>of</strong> Medicine, King Saud University, Riyadh, Saudi Arabia. Saudi Arabia, is the largest Arab country and has an estimated population <strong>of</strong> around 27.6 million. The family and tribe are the basis <strong>of</strong> the social structure and Saudis are cognizant <strong>of</strong> their heritage, their tribe, and their extended and nuclear family. Consanguinity and other factors, including environmental factors, have played a significant role in accumulating genetic disorders, some very rare ones, at a higher frequency in the Saudis. We conducted three National studies over a period <strong>of</strong> twenty years to screen the entire country for common single gene disorders (including sickle cell gene, α- and β- thalassaemia, glucose- 6-phosphate dehydrogenase deficiency) and multifactorial disorders (including diabetes mellitus, obesity, and hypertension). Over 60,000 samples were screened and gene frequencies <strong>of</strong> these disorders were obtained. In addition, studies conducted in other institutions reported several inborn errors <strong>of</strong> metabolism, chromosomal, mitochondrial and somatic cell disorders (cancers). Several disorders, rare in other populations, occur at a high frequency in the Saudi. The genetic basis <strong>of</strong> several <strong>of</strong> these disorders has been unveiled and very interesting picture has emerged for the common disorders, where mutations specific to Saudis and rare in other populations form the basis <strong>of</strong> several <strong>of</strong> the common disorders. The natural history <strong>of</strong> several <strong>of</strong> the disorders has been investigated and a wide range <strong>of</strong> clinical diversity has been identified. Steps have been adopted towards primary prevention. This paper will present a comprehensive coverage <strong>of</strong> the present status <strong>of</strong> genetic diseases in Saudi Arabia and steps adopted towards control and prevention. P10.74 Ancestral origin <strong>of</strong> pure repeat expansions and cAA interrupted alleles in spinocerebellar ataxia type 2 (scA2) E. M. Ramos 1 , S. Martins 1,2 , I. Alonso 1 , V. E. Emmel 3 , M. L. Saraiva-Pereira 3 , L. B. Jardim 3 , P. Coutinho 1,4 , J. Sequeiros 1,5 , I. Silveira 1 ; 1 UnIGENe, IBMC - Instituto de Biologia Molecular e Celular, Porto, Portugal, 2 IPATIMUP- Instituto de Patologia e Imunologia Molecular da Universidade do Porto, Porto, Portugal, 3 Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil, 4 Hospital São Sebastião, Feira, Portugal, 5 ICBAS, Universidade do Porto, Porto, Portugal. The spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disease characterized by gait and limb ataxia. This disease is caused by the expansion <strong>of</strong> a (CAG)n located in the ATXN2, that encodes a polyglutamine tract <strong>of</strong> more than 34 repeats. Lately, alleles with 32-33 CAGs have been associated to late-onset disease cases. Repeat interruptions by CAA triplets are common in normal alleles, while expanded alleles usually contain a pure repeat tract. To investigate the mutational origin and the instability associated to the ATXN2 repeat, we performed an extensive haplotype study and sequencing <strong>of</strong> the CAG/CAA repeat, in a cohort <strong>of</strong> families <strong>of</strong> different geographic origins and phenotypes. Our results showed (1) CAA interruptions in ATXN2 alleles, regardless <strong>of</strong> its pathogenic nature, and that (2) CAA interrupted alleles in the range 33-44 repeats shared an ancestral haplotype with pure expanded alleles; (3) an intragenic SNP-based haplotype, C-C, common to all SCA2 families regardless <strong>of</strong> its interruption pattern, origin or phenotype; and (4) higher genetic diversity in <strong>European</strong> SCA2 families, suggesting an older <strong>European</strong> ancestry <strong>of</strong> SCA2. In conclusion, we found a shared ancestral ATXN2 haplotype for pure and interrupted expanded alleles, with strong implications in mutation diagnosis and counseling. Our results indicate that interrupted alleles, below the pathological threshold, may be a reservoir <strong>of</strong> mutable alleles, prone to expansion in subsequent generations, leading to full disease mutation P10.75 Allele frequencies <strong>of</strong> eight short tandem repeat loci in East Azerbaijan province population J. Mohseni 1 , S. Mohaddes Ardebili 2 , H. Najm-Aabadi 3 ; 1 East azerbaijan brach <strong>of</strong> ACECR, Tabriz, Islamic Republic <strong>of</strong> Iran, 2 Tabriz medical sciences university, Tabriz, Islamic Republic <strong>of</strong> Iran, 3 Welfare and Re- habilitaion university, Tehran, Islamic Republic <strong>of</strong> Iran. Short tandem repeats (2-6 bp) have become wide-spread in their use by the forensic DNA typing, Paternity testing, gene mapping, and diagnosis <strong>of</strong> hereditary disease. Allele frequencies for 8 STR loci (D16S539, D8S1179, D5S818, D13S317, F13B, MTHO1, TPOX and FES/FPS) were determined in the samples <strong>of</strong> 218 un-related volunteer <strong>of</strong> East Azerbaijan province population using PCR and subsequent poly-acrylamid gel electrophoresis and silver staining. Regarding to the results, Among 8 STR loci , heterozygosity <strong>of</strong> D16S539, D5S818,D8S1179, D13S317, F13B, FES/FPS,MTHO1, TPOX respectively were 0.8213,0.8188, 0.7883, 0.8062, 0.7442, 0.7397, 0.7834, 0.6769 . No devotion from Hardi-winberg equilibrium was observed. D16S539 with 0.8213 heterozygosity is the most informative marker and TPOX with 0.6769 heterozygosity was the least informative marker on target group. Therefore except for TPOx all mentioned markers could be used for forensic DNA typing and paternity test <strong>of</strong> East Azerbaijan population. P10.76 Forensic value <strong>of</strong> 10 stR loci in the entire region <strong>of</strong> turkey population and comparisons to other ethnics groups or areas M. Ozkorkmaz 1 , A. Baransel-Isir 2 , S. Pehlivan 3 , E. Gokalp-Ozkorkmaz 4 ; 1 Ege University Faculty <strong>of</strong> Science, Izmir, Turkey, 2 2. Gaziantep University, Faculty <strong>of</strong> Medicine, Department <strong>of</strong> Forensic Medicine, Gaziantep, Turkey, 3 4. Gaziantep University, Faculty <strong>of</strong> Medicine Department <strong>of</strong> Medical Biology and Genetic, Gaziantep, Turkey, 4 Ahi Evran University, College <strong>of</strong> Healty, Kırsehir, Turkey. Allele frequencies <strong>of</strong> the 10 STRs loci (D16S539, D2S1338, D3S1358, vWA, D18S51, D21S11, D8S1179, D19S433, FGA, THO1) included in the AmpFlSTR SGM Plus kit were obtained from different biological materials <strong>of</strong> sample <strong>of</strong> 100 unrelated individuals in the entire region <strong>of</strong> Turkey. Chi-square test showed that all STR loci agreed with Hardy- Weinberg equilibrium. The population genetic data were compared with the previously publishing population data <strong>of</strong> Turkish and other ethnic groups or areas. The results <strong>of</strong> present study suggest that 10 STR loci with its high combined PD values (0.99999999999988) seem to be a useful system for the cases in forensic identifications. P10.77 Estimation <strong>of</strong> smN1 Deletion carrier Frequency in the iranian Population based on Quantitative Analysis M. Hasanzad 1 , M. Azad 2 , K. Kahrizi 3 , B. Shoja Saffar 3 , S. Nafisi 4 , Z. Keyhanidoust 5 , M. Azimian 3 , A. Aghajani Refah 3 , E. Also 6 , J. A. Urtizberea 7 , E. F. Tizzano 6 , H. Najmabadi 3,2 ; 1 Islamic Azad University, Tehran Medical Branch, Tehran, Islamic Republic <strong>of</strong> Iran, 2 Kariminejad-Najmabadi Pathology & <strong>Genetics</strong> Center, Tehran, Islamic Republic <strong>of</strong> Iran, 3 <strong>Genetics</strong> Research Center, University <strong>of</strong> Social Welfare & Rehabilitation Sciences, Tehran, Islamic Republic <strong>of</strong> Iran, 4 Department <strong>of</strong> Neurology, Tehran University <strong>of</strong> Medical Sciences, Tehran, Islamic Republic <strong>of</strong> Iran, 5 Imam Khomeini Hospital, Tehran University <strong>of</strong> Medical Sciences, Tehran, Islamic Republic <strong>of</strong> Iran, 6 Department <strong>of</strong> <strong>Genetics</strong>, Hospital de Sant Pau, Barcelona, Spain, 7 Assistance Publique Hopitaux de Paris, Hopital Marin, Hendaye, France. Spinal muscular atrophy (SMA) is a common autosomal recessive neuromuscular disorder caused by mutations in the survival motor neuron 1 gene (SMN1). Carrier frequency studies <strong>of</strong> SMA have been reported for various populations. Although no large-scale population-based studies <strong>of</strong> SMA have been performed in Iran, previous estimates have indicated that the incidence <strong>of</strong> autosomal recessive disorder partly because <strong>of</strong> the high prevalence <strong>of</strong> consanguineous marriage is much higher in the Iranian population than in other populations. In this study, we used a reliable and highly sensitive quantitative realtime PCR assay with SYBR green I dye to detect the copy number <strong>of</strong> the SMN1 gene to determine the carrier frequency <strong>of</strong> SMA in 200 healthy unrelated, non consanguineous couples from different part <strong>of</strong> Iran To validate the method in our samples, we determined the ΔΔCt ratios <strong>of</strong> patients with homozygous deletion (0.00) and hemyzygous carriers (0.29 to 0.55). The ΔΔCt ratios in 10 <strong>of</strong> 200 normal individuals were within the carrier range <strong>of</strong> 0.31-0.57, estimating a carrier frequency <strong>of</strong> 5% in the Iranian population. Our data show that the SMA carrier frequency in Iran is higher than in the <strong>European</strong> population and that further programs <strong>of</strong> population carrier detection and prenatal testing should be implemented.
Evolutionary and population genetics, and Genetic epidemiology P10.78 Retrospective epidemiological study <strong>of</strong> spinal muscular atrophy in slovenia N. Teran 1 , B. Gornjak-Pogorelc 2 , D. Neubauer 3 , J. Zidar 4 , B. Peterlin 1 ; 1 UMC Ljubljana, Dept. <strong>of</strong> Obst. and Gynecol., Institute <strong>of</strong> Medical <strong>Genetics</strong>, Ljubljana, Slovenia, 2 University <strong>of</strong> Ljubljana, Medical Faculty, Institute <strong>of</strong> Forensic Medicine, Ljubljana, Slovenia, 3 UMC Ljubljana, University Childrens’ Hospital, Dept. <strong>of</strong> Pediatric Neurology, Ljubljana, Slovenia, 4 UMC Ljubljana, Div. <strong>of</strong> Neurology, Institute <strong>of</strong> Clinical Neurophysiology, Ljubljana, Slovenia. Introduction: Spinal muscular atrophy (SMA) is one <strong>of</strong> the most common autosomal-recesive neuromuscular disorder. It has a prevalence <strong>of</strong> between 1 in 6000 and 1 in 10,000 live births in Caucasian populations. The epidemiology <strong>of</strong> SMA in our country was not published yet. In retrospecitve study we examined patients with clinical diagnosis <strong>of</strong> SMA in order to estimate the prevalence <strong>of</strong> SMA. Material and Methods: Molecular genetic analysis was performed for patients with a clinical diagnosis <strong>of</strong> SMA, whose blood samples was sent to our laboratory during the 10 years period (from 1998 until 2008). PCR/RFLP analysis was used to detect homozygous deletion <strong>of</strong> the SMN1. MLPA analysis was found to be an efficient method for detecting copy numbers <strong>of</strong> SMN1 and SMN2. Results: After screening by PCR/RFLP analysis 75 out <strong>of</strong> 158 patients had homozygous SMN1 deletion. Exons 7 and 8 were homozygously deleted in 58 patients (77%), while 17 (23%) showed deletion <strong>of</strong> only exon 7. In one SMA patient, MLPA revealed 1 copy <strong>of</strong> SMN1. In one family, 2 sibilings with SMA and 1 non-affected showed only homozygous deletion <strong>of</strong> SMN2. Additionaly, homozygous deletion <strong>of</strong> SMN2 was detected in the mother, whereas her daughter’s lack both copies <strong>of</strong> SMN1. The prevalence <strong>of</strong> SMA was estimated at 3.94/10 5 on September 30 st 2008 . Conclusions: The prevalence is comparable to previously reported data in other Caucasian populations. Due to complexity <strong>of</strong> SMA genetics, testing <strong>of</strong> additional family members should be suggested and <strong>of</strong>fered when appropriate. P10.79 Age- and sex- related reduction <strong>of</strong> relative telomere length over ten years in the population-based Bruneck study: Application <strong>of</strong> a high-throughput real-time PcR genotyping assay A. Brandstätter1 , S. Ehrlenbach1 , P. Willeit2 , S. Kiechl2 , J. Willeit2 , F. Kronenberg1 ; 1 2 Division <strong>of</strong> Genetic Epidemiology, Innsbruck, Austria, Department <strong>of</strong> Neurology, Innsbruck, Austria. Background: Telomeres play a key role in the maintenance <strong>of</strong> chromosome integrity and stability. Telomere length is linked to age-related diseases, with shorter telomeres associated with an increased probability <strong>of</strong> mortality from infection or heart disease. Our aim was to determine the decrease rate <strong>of</strong> telomere length over a time period <strong>of</strong> ten years and whether this decrease rate was influenced by age, sex and smoking behaviour. Research design and methods: We compared relative telomere lengths (RTL) in 510 sample pairs from the longitudinal population based Bruneck study, which were collected in 1995 and ten years later in 2005. RTL were determined by a high-throughput real-time genotyping assay and by applying various mathematical models. Results: Rate <strong>of</strong> change in RTL was highly variable among individuals. Mean telomere length decreased over ten years by 20.4% (95% CI: 16.8 - 24.1; p
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Volume 17 Supplement 2 May 2009 www
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European Society of Human Genetics
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Table of Contents spoken Presentati
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Plenary Lectures PL2.2 massive para
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Genetic counseling Genetics educati
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Clinical genetics and Dysmorphology
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Clinical genetics and Dysmorphology
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Cytogenetics P03. cytogenetics Recu
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Cytogenetics 2: mother’s age < fa
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Cytogenetics P03.028 HLA B27 allele
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Cytogenetics karyotype revealed a p
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Cytogenetics P03.057 Pathological c
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Cytogenetics method used to detect
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Cytogenetics All detected anomalies
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Cytogenetics somy for chromosome 2.
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Cytogenetics cially in chromosome 4
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Cytogenetics (59.390.122 to 62.021.
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Cytogenetics For further characteri
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Cytogenetics regions with mental /d
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Cytogenetics spermia, 11 oligosperm
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Cancer genetics P06.005 tiling reso
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Cancer genetics tient group in whic
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Cancer genetics tion (PAX5 and GATA
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Cancer genetics scribed underexpres
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Cancer genetics of the ZIC gene fam
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Cancer genetics Materials and metho
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Cancer genetics P06.130 spectrum an
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Cancer genetics is hTERC gene ampli
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Metabolic disorders P12.167 Pattern
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Metabolic disorders PKU. BH4 challe
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Therapy for genetic disorders of me
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Author Index Allanson, J.: P02.140
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Author Index 0 Barbacioru, C.: C01.
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Author Index 0 Bonneau, D.: C16.2,
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Author Index 0 Chakravarti, A.: C13
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Author Index 0 Dan, D.: P01.39, P14
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Author Index 0 Duskova, J.: P06.012
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Author Index Franke, A.: P09.056 Fr
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Author Index Grasso, R.: P02.025 Gr
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Author Index Holder-Espinasse, M.:
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Author Index Jurkiewicz, E.: C14.5
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Author Index Kooper, A. J. A.: P05.
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Author Index Li, K. J.: P11.086 Li,
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Author Index Martinet, D.: P03.095
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Author Index Moorman, A. F. M.: P16
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Author Index P10.57, P10.82 Oguzkan
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Author Index P09.054, P09.085, P09.
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Author Index P16.01 Renieri, A.: P0
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Author Index Santorelli, F.: P08.55
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Author Index Sinke, R. J.: P02.020
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Author Index Taheri, M.: P04.33, P0
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Author Index Valentino, P.: P02.064
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Author Index Wiemer-Kruel, A.: P14.
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Keyword Index 1 10q22 deletions: P0
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Keyword Index autosomal dominant re
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Keyword Index CLA: P06.073 CLCN1 ge
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Keyword Index DMD: P16.40, P16.41,
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Keyword Index gene networks: S12.2
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Keyword Index hydrocephaly: P05.11
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Keyword Index malignant hyperthermi
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Keyword Index NAT2: P12.118 natridi
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Keyword Index Polymalformations: P0
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Keyword Index Sardinia: C09.6 Sardi
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Keyword Index TNFalpha: P08.61, P09
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