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2009 Vienna - European Society of Human Genetics

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

P10.78<br />

Retrospective epidemiological study <strong>of</strong> spinal muscular atrophy<br />

in slovenia<br />

N. Teran 1 , B. Gornjak-Pogorelc 2 , D. Neubauer 3 , J. Zidar 4 , B. Peterlin 1 ;<br />

1 UMC Ljubljana, Dept. <strong>of</strong> Obst. and Gynecol., Institute <strong>of</strong> Medical <strong>Genetics</strong>, Ljubljana,<br />

Slovenia, 2 University <strong>of</strong> Ljubljana, Medical Faculty, Institute <strong>of</strong> Forensic<br />

Medicine, Ljubljana, Slovenia, 3 UMC Ljubljana, University Childrens’ Hospital,<br />

Dept. <strong>of</strong> Pediatric Neurology, Ljubljana, Slovenia, 4 UMC Ljubljana, Div. <strong>of</strong> Neurology,<br />

Institute <strong>of</strong> Clinical Neurophysiology, Ljubljana, Slovenia.<br />

Introduction: Spinal muscular atrophy (SMA) is one <strong>of</strong> the most common<br />

autosomal-recesive neuromuscular disorder. It has a prevalence<br />

<strong>of</strong> between 1 in 6000 and 1 in 10,000 live births in Caucasian populations.<br />

The epidemiology <strong>of</strong> SMA in our country was not published yet.<br />

In retrospecitve study we examined patients with clinical diagnosis <strong>of</strong><br />

SMA in order to estimate the prevalence <strong>of</strong> SMA.<br />

Material and Methods: Molecular genetic analysis was performed<br />

for patients with a clinical diagnosis <strong>of</strong> SMA, whose blood samples<br />

was sent to our laboratory during the 10 years period (from 1998 until<br />

2008). PCR/RFLP analysis was used to detect homozygous deletion<br />

<strong>of</strong> the SMN1. MLPA analysis was found to be an efficient method for<br />

detecting copy numbers <strong>of</strong> SMN1 and SMN2.<br />

Results: After screening by PCR/RFLP analysis 75 out <strong>of</strong> 158 patients<br />

had homozygous SMN1 deletion. Exons 7 and 8 were homozygously<br />

deleted in 58 patients (77%), while 17 (23%) showed deletion <strong>of</strong> only<br />

exon 7. In one SMA patient, MLPA revealed 1 copy <strong>of</strong> SMN1. In one<br />

family, 2 sibilings with SMA and 1 non-affected showed only homozygous<br />

deletion <strong>of</strong> SMN2. Additionaly, homozygous deletion <strong>of</strong> SMN2<br />

was detected in the mother, whereas her daughter’s lack both copies<br />

<strong>of</strong> SMN1. The prevalence <strong>of</strong> SMA was estimated at 3.94/10 5 on September<br />

30 st 2008 .<br />

Conclusions: The prevalence is comparable to previously reported<br />

data in other Caucasian populations. Due to complexity <strong>of</strong> SMA genetics,<br />

testing <strong>of</strong> additional family members should be suggested and<br />

<strong>of</strong>fered when appropriate.<br />

P10.79<br />

Age- and sex- related reduction <strong>of</strong> relative telomere length over<br />

ten years in the population-based Bruneck study: Application <strong>of</strong><br />

a high-throughput real-time PcR genotyping assay<br />

A. Brandstätter1 , S. Ehrlenbach1 , P. Willeit2 , S. Kiechl2 , J. Willeit2 , F. Kronenberg1<br />

;<br />

1 2 Division <strong>of</strong> Genetic Epidemiology, Innsbruck, Austria, Department <strong>of</strong> Neurology,<br />

Innsbruck, Austria.<br />

Background: Telomeres play a key role in the maintenance <strong>of</strong> chromosome<br />

integrity and stability. Telomere length is linked to age-related<br />

diseases, with shorter telomeres associated with an increased probability<br />

<strong>of</strong> mortality from infection or heart disease. Our aim was to determine<br />

the decrease rate <strong>of</strong> telomere length over a time period <strong>of</strong> ten<br />

years and whether this decrease rate was influenced by age, sex and<br />

smoking behaviour.<br />

Research design and methods: We compared relative telomere lengths<br />

(RTL) in 510 sample pairs from the longitudinal population based Bruneck<br />

study, which were collected in 1995 and ten years later in 2005.<br />

RTL were determined by a high-throughput real-time genotyping assay<br />

and by applying various mathematical models.<br />

Results: Rate <strong>of</strong> change in RTL was highly variable among individuals.<br />

Mean telomere length decreased over ten years by 20.4% (95% CI:<br />

16.8 - 24.1; p

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