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European Human Genetics Conference 2007 June 16 – 19, 2007 ...

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Normal variation, population genetics, genetic epidemiology<br />

P1<strong>19</strong>9. Epidemiology of oculo-aruiculo-vertebral spectrum<br />

(OAVS): a registry-based study on <strong>European</strong> population<br />

I. Barisic 1 , V. Tokic 1 , M. Loane 2 , F. Bianchi 3 , E. Calzolari 4 , E. Garne 5 , D. Wellesley<br />

6 , H. Dolk 2 ;<br />

1 Childrens Univ. Hospital Zagreb, Zagreb, Croatia, 2 EUROCAT Central Registry,<br />

University of Ulster, Newtonabbey, Co Antrim, Northern Ireland, United<br />

Kingdom, 3 Unit of Epidemiology, CNR Institute of Clinical Physiology, Pisa,<br />

Italy, 4 Department of Experimental and Diagnostic Medicine, Division of Medical<br />

<strong>Genetics</strong>, University of Ferrara, Ferrara, Italy, 5 Epidemiology, University of<br />

Southern Denmark, Odense, Denmark, 6 Wessex Clinical <strong>Genetics</strong> Service,<br />

Princess Anne Hospital, Southampton, United Kingdom.<br />

Oculoariculovertebral spectrum (OAVS) is a phenotypically and genetically<br />

heterogenous disorder grouping together different conditions<br />

thought to be caused by impaired development of the first and second<br />

branchial arches including Goldenhar syndrome, facioauriculovertebral<br />

syndrome, hemifacial microsomia, and otomandibular dysostosis.<br />

We present the results of the population-based epidemiological study<br />

on the severe end of OAV spectrum.<br />

The data were extracted from the database of EUROCAT (<strong>European</strong><br />

Surveillance of Congenital Anomalies), a large <strong>European</strong> network of<br />

birth defect registries that use the same epidemiological methodologies.<br />

Based on data collected during the <strong>19</strong>80-2004 period, we found<br />

the prevalence of the severe OAVS cases to be 2.63/100 000 births<br />

or 1/38022. The most frequently associated congenital malformations<br />

were major ear malformations that accounted for 30% of cases<br />

(68/224). Vertebral anomalies were reported in 30% of cases (67/224),<br />

and cardiac defects were present in 25% of cases (57/224). Severe<br />

central nervous system involvement was rare (17/224 - 8%). Prenatal<br />

ultrasound examination in the period 2000-2004 detected abnormalities<br />

in 15% (<strong>16</strong>/111) of cases. Live born infants with OAVS have a high<br />

first week survival (98.5%). Maternal and paternal ages do not seem<br />

to be risk factors for OAVS. Almost 35% of patients, born after the 37 th<br />

week of gestation, weighed less than 2500 g. Among 272 patients,<br />

consanguinity of parents was registered in 5 cases. OAVS among sibs<br />

was found in 4 cases, while family history for OAVS was positive in additional<br />

10 cases. No evidence of exposure to consistent teratogenic<br />

agents including maternal diabetes was noted.<br />

P1200. Bone mineral density variation related to islet amyloid<br />

polypeptide (amylin) haplotypes in young and elderly women in<br />

Southern Sweden<br />

S. Gebre-Medhin 1 , P. Gerdhem 2 , M. Callreus 2 , K. Åkesson 2 , H. Luthman 3 ;<br />

1 Dept Clinical <strong>Genetics</strong>, Lund University Hospital, Lund, Sweden, 2 Dept of Orthopedics,<br />

Malmö University Hospital, Malmö, Sweden, 3 Dept of Endocrinology,<br />

Malmö University Hospital, Malmö, Sweden.<br />

BACKGROUND AND AIM: The candidate hormone islet amyloid polypeptide<br />

(IAPP or amylin) is predominantly expressed by the pancreatic<br />

beta cells and cosecreted with insulin in response to food intake. Several<br />

studies have implied a physiological role for IAPP in bone remodeling.<br />

For example, IAPP knockout mice exhibit increased numbers<br />

of bone-resorbing osteoclasts and develop an osteporosis-like phenotype<br />

in adulthood. However, the importance of IAPP in bone remodeling<br />

in humans is not clear. In the present work we have investigated<br />

whether different IAPP haplotypes are associated with bone mineral<br />

density (BMD) in young women at peak bone mass and elderly women<br />

at high risk of fracture. MATERIALS AND METHODS: 1005 young<br />

women from the Malmö Peak-study (age 25±0.1 yrs, BMI 23.0±3.7<br />

kg/cm2) and 1044 elderly women (Malmö OPRA-study; age 75±0.1<br />

yrs, BMI 26.2±4.2 kg/cm2) were recruited. The primary phenotype was<br />

BMD assessed by DXA. Body composition data, calcaneus ultrasound<br />

estimates and fracture data (OPRA-study) were also available. Short<br />

nucleotide polymorphisms (SNPs) in the vicinity of the IAPP gene<br />

were retrieved from the International HapMap Genotype Database and<br />

genotyped by PCR using the ABI SNP genotyping assay. RESULTS<br />

AND DISCUSSION: Obtained data and an update of this study will be<br />

presented.<br />

P1201. Model free Lods for linkage analysis of large complex<br />

pedigrees<br />

I. V. Zorkoltseva, T. I. Axenovich;<br />

Institute of Cytology and <strong>Genetics</strong>, Novosibirsk, Russian Federation.<br />

Parametric linkage analysis is a powerful tool for mapping genes for<br />

complex traits. When mode of inheritance is unknown, it was suggested<br />

01<br />

to use model free Lod score for linkage analysis. The statistical properties<br />

of different parametric linkage tests have been compared for small<br />

pedigrees, but remain unknown for large extended pedigrees.<br />

We compared model based and model free Lod score statistics for<br />

multipoint linkage analysis in a large complex human pedigree with<br />

multiple loops. We simulated quantitative traits with dominant, additive<br />

or recessive major gene effect and genotypes for a set of five-allelic<br />

markers. Three linkage statistics were compared: Lod, using true<br />

underlying QTL model parameters; PLod, based on the estimations<br />

of model parameters coming from complex segregation analysis and<br />

MFLod, estimating model parameters and the QTL position simultaneously.<br />

We used approximate likelihood calculation based on the loop<br />

breaking (Stricker et al., <strong>19</strong>95).<br />

For all analyzed models average values of the test statistics and the<br />

portion of experiments in which the test was >3, were highest for<br />

MFLod and lowest for the PLod. However, it is known that the distribution<br />

of multipoint Lod score under H 0 depends on frequencies of<br />

alleles, mode of inheritance, and so on. We analyzed type I errors for<br />

used linkage statistics and demonstrated that they are similar for Lod<br />

and PLod, but higher for MFLod. Nevertheless linkage power calculated<br />

on the base of empirical threshold level was higher for MFLod<br />

than for Plod or Lod.<br />

P1202. Combinatorial genetic analysis of physical performance<br />

in athletes<br />

I. I. Ahmetov, I. V. Astratenkova, A. M. Druzhevskaya, V. A. Rogozkin;<br />

St Petersburg Research Institute of Physical Culture, St Petersburg, Russian<br />

Federation.<br />

It has been shown physiologically that for rowing at least 70% of the<br />

energy requirement comes from aerobic metabolism; the remainder<br />

comes from anaerobic sources. Accumulating evidence suggests that<br />

polymorphisms of ACE, ACTN3 and PPARA genes are strongly influence<br />

human physical performance. ACE I and PPARA G alleles are<br />

supposed to be favorable for endurance-oriented athletes, whilst ACE<br />

D, PPARA C and ACTN3 R alleles are thought to enhance power performance.<br />

The purpose of this study was to determine genotype and<br />

allele frequencies of ACE I/D, ACTN3 R577X and PPARA G/C polymorphisms<br />

in rowers and to detect genotype combinations that are<br />

prevalent in elite, sub-elite and non-elite rowers compared to controls.<br />

173 male and female Russian elite, sub-elite and non-elite rowers and<br />

842 controls were recruited for the study. Genotyping was carried out<br />

by RLFP. We found that frequencies of ACE D and PPARA C alleles<br />

were the lowest in elite level rowers compared to other rowers and controls.<br />

ACTN3 X allele frequency tended to decrease with athletes’ improvement<br />

of elite status. When all endurance-associated alleles were<br />

combined, we determined common endurance alleles frequencies in<br />

different groups. The highest value of endurance alleles frequency was<br />

observed in male elite (72.2%) and female sub-elite rowers (70.5%),<br />

compared to male (66.0%) and female controls (66.1%), respectively.<br />

The prevalent combination of genotypes in all groups was ID-RX-GG.<br />

The frequency of this combination was highest in elite rowers (28.6%);<br />

the lowest was found in controls (17.3%).<br />

P1203. POLG disease mutations in Europe, Australia, New<br />

Zealand, and the USA explained by single ancient <strong>European</strong><br />

founders<br />

A. H. Hakonen 1 , G. Davidzon 2 , R. Salemi 3 , L. A. Bindoff 4 , G. Van Goethem 5,6 ,<br />

S. DiMauro 2 , D. R. Thorburn 3 , A. Suomalainen 1,7 ;<br />

1 Research Program of Molecular Neurology, Biomedicum-Helsinki, University<br />

of Helsinki, Helsinki, Finland, 2 Department of Neurology, Columbia University<br />

Medical Center, New York, NY, United States, 3 Murdoch Children’s Research<br />

Institute, Royal Children’s Hospital and Department of Paediatrics, University of<br />

Melbourne, Melbourne, Australia, 4 Department of Neurology, Institute of Clinical<br />

Medicine, University of Bergen & Haukeland University Hospital, Bergen, Norway,<br />

5 Division of Neurology and the Neuromuscular Reference Center, University<br />

Hospital Antwerp, Antwerp, Belgium, 6 Department of Molecular <strong>Genetics</strong>,<br />

Neurogenetics group, VIB and University of Antwerp, Antwerp, Belgium, 7 Department<br />

of Neurology, Helsinki University Central Hospital, Helsinki, Finland.<br />

Mutations in the catalytic subunit of the mitochondrial DNA polymerase<br />

gamma (POLG) have been found to be an important cause of neurological<br />

disease. We and collaborators have identified the POLG<br />

W748S mutation as the underlying cause of mitochondrial recessive<br />

ataxia syndrome (MIRAS) and found it to be among the most common

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