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

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

Thailand.<br />

Background: While there are strong genetic evidences linking the<br />

population in the Indochina peninsula with the Chinese, this was not<br />

the case with the Indians despite the proximity of the region to both<br />

populations. Using the heterogeneity of the spinocerebellar ataxias,<br />

a group of neurological disorders with different subtype frequencies<br />

among different populations, we looked for the evidence supporting<br />

relationship between the Thai population and both the Chinese and<br />

Indian populations.<br />

Methods: We searched for spinocerebellar ataxia (SCA) type 1, SCA3<br />

and SCA6 mutations in 340 patients from 182 families, in which at least<br />

one person had a clinical diagnosis of SCA, using GeneScan analysis.<br />

We analysed the relative frequencies of SCAs subtypes on a family<br />

basis, and compared these to the data in the related populations.<br />

Results: SCA3 was the commonest, with a relative frequency of 17.0%<br />

(Agresti-Coull 95% C.I.: 12.2%-23.2%), followed by SCA1 at 10.4%<br />

(6.7%-15.8%). SCA6 was found in three families, with a relative frequency<br />

of 1.6% (0.3%-5.0%). When compared to the related populations,<br />

the Thai SCA3 frequency was less than that of the Chinese while<br />

higher than that in most of the Indian studies. The reverse is true for<br />

the SCA1. A similar study in Singapore, where the pattern of population<br />

admixture was clear, also showed somewhat similar results, although<br />

more inclined toward the Indians.<br />

Conclusion: Our results supported some degree of admixture with the<br />

Indians in Thai population, and should encourage further study in the<br />

area.<br />

P1218. Population study at fifteen short tandem repeat loci in<br />

the representative sample of Bosnia and Herzegovina residents<br />

- contemporary data<br />

D. Marjanovic 1,2 , A. Durmic-Pasic 1 , N. Pjanic 1 , N. Bakal 1 , L. Kovacevic 1 , V.<br />

Skaro 2 , P. Projic 2 , S. Haveric 1 , K. Bajrovic 1 , R. Hadziselimovic 1 , D. Primorac 3 ,<br />

N. Pojskic 1 ;<br />

1 Institute for Genetic Engineering and Biotechnology, Sarajevo, Bosnia and<br />

Herzegovina, 2 Center for Integrative Genomics, Molecular Diagnostics, Cell and<br />

Gene Therapy, “Rudjer Boskovic” Institute, Zagreb, Croatia, 3 Medical School at<br />

Osijek University, Osijek, Croatia.<br />

In our previous population studies of B&H human population, we used<br />

17 autosomal and 12 Y-chromosomal STR loci, as well as 28 NRY<br />

bi-allelic markers to generate referent database. Wishing to test our<br />

database in order to obtain specific results in various DNA analysis, we<br />

have decided to analysis additional individuals, firstly at fifteen autosomal<br />

STR loci (D3S1358, TH01, D21S11, D18S51, Penta E, D5S818,<br />

D13S317, D7S820, D<strong>16</strong>S539, CSF1PO, Penta D, vWA, D8S1179,<br />

TPOX, FGA). Therefore, we have tested additional group of 100 unrelated<br />

healthy individuals born in B&H. Qiagen Dnaeasy TM Tissue Kit<br />

was used for DNA extraction from buccal swabs and bloodstains and<br />

PowerPlex <strong>16</strong> ® System for amplification and detection. The total volume<br />

of PCR reaction was 5μl and PCR amplifications were carried<br />

out in PE GeneAmp PCR System Thermal Cycler. Electrophoresis of<br />

the amplification products was preformed on an ABI PRISM 310 genetic<br />

analyzer. The raw data were compiled and analyzed using Genemapper<br />

® v3.2. Deviation from Hardy-Weinberg equilibrium, observed<br />

and expected heterozygosity, power of discrimination and power of<br />

exclusion were calculated. Statistical differences between the new<br />

set of data and the data at same loci published earlier (based on 100<br />

tested individuals) indicated the advantage of using recently obtained<br />

frequencies, especially as it pertains to the forensic-genetic statistical<br />

analysis. In addition, we compared B&H data with the data obtained<br />

from geographically closer <strong>European</strong> populations. The results of this<br />

study will be used as guidelines in additional improving of investigation<br />

of recent B&H human populations, initiated in our previous studies.<br />

P12<strong>19</strong>. Possible common origin for the Tibeto-Burman and<br />

Austro-Asiatic speaking populations of India: a Y-chromosome<br />

study<br />

S. Krithika 1 , A. Singh 2 , S. Sahoo 2 , R. Trivedi 2 , V. K. Kashyap 3 , T. S. Vasulu 1 ;<br />

1 Indian Statistical Institute, Kolkata, India, 2 National DNA Analysis Centre,<br />

Central Forensic Science Laboratory, Kolkata, India, 3 National Institute of Biologicals,<br />

Noida, India.<br />

The geographic contiguity and the morphological similarity of the Tibeto-Burman<br />

speaking populations with the Austro-Asiatic speaking<br />

groups of India provide hints for the origin of the two linguistic families<br />

from a common stock in the remote past. However, this intriguing aspect<br />

of genetic relationship between the Tibeto-Burman and Austro-<br />

Asiatic speaking populations of India is little investigated and warrants<br />

further discussion through molecular genetics.<br />

In this regard, we analyzed 38 biallelic and 20 short tandem repeat<br />

polymorphisms on the Y-chromosome in 293 male individuals of 22<br />

different populations belonging to Tibeto-Burman (12) and Austro-<br />

Asiatic (10) linguistic families, inhabiting northeastern, eastern and<br />

central regions. Among the 14 haplogroups observed, subclades of<br />

haplogroup O were predominant (~83.96%) of which O2a, showing the<br />

highest frequency of ~ 55%, was the major common subclade present<br />

in both Tibeto-Burman (41.3%) and in Austro-Asiatic (73%) populations.<br />

AMOVA results indicated a higher degree of genetic differentiation<br />

(31.95%) among populations within the two linguistic groups than<br />

among the two groups (13.10%). The neighbor-joining tree and the<br />

PCA plot shows clustering of some Austro-Asiatic populations (mainly<br />

from Jharkhand) with few Tibeto- Burman populations from Arunachal<br />

Pradesh and Mizoram suggesting possible shared common ancestry<br />

of some Tibeto-Burman with a few of the Austro-Asiatic populations.<br />

STRUCTURE analysis is also in congruence with the genetic commonality<br />

between the studied linguistic groups. To get further insight<br />

into the issue, a median-joining network was constructed based on the<br />

haplotypes that fall into haplogroup O2a and the time of divergence for<br />

the haplogroup was also estimated.<br />

P1220. Thiopurine S-methyltransferase (TPMT)<br />

pharmacogenetics: genotype-phenotype comparison and<br />

haplotype analysis in Estonian population<br />

R. Tamm1 , K. Oselin2 , K. Kallassalu1 , K. Anier2 , R. Magi1 , A. Metspalu3 ;<br />

1 2 IMCB, Tartu, Estonia, Department of Pharmacology, Tartu, Estonia,<br />

3IMCB,EBC, Tartu, Estonia.<br />

Thiopurine methyltrasferase (TPMT) is a cytoplasmic enzyme catalysing<br />

the S - methylation of thiopurine drugs. Thiopurines exert cytotoxicity<br />

after metabolism to thioguanine nucleotides and they are turned<br />

into inactive metabolites by TPMT. To date, at least 23 single nucleotide<br />

polymorphisms/mutations have been reported in TPMT gene, 22<br />

of them are or may be associated with low enzyme activity.<br />

The aim of the present study was to measure erythrocyte TPMT activity<br />

in Estonian population, to genotype Estonian population using<br />

PCR-RFLP method for known alleles (TPMT*2, *3A, *3B, *3C, *3D,<br />

*8) and to sequence the whole coding region of TPMT (exons 3-10)<br />

to find novel sequence variants. Of 253 healthy subjects, 15 were heterozygous<br />

for TPMT*1/*3A (3%), two for TPMT*1/*3C (0.4%) and two<br />

for TPMT*1/*2 (0.4%). No subjects were detected with TPMT*3B, *3D<br />

and *8. Several others previously described intronic and exon mutations/polymorphisms<br />

were found via sequencing. Three novel mutations<br />

T30A in exon 3, A10G in intron 3 and A145G in intron 10 were<br />

detected. Association and haplotype analysis was carried out to find<br />

SNP differences between low (enzyme activity £58.8 ng/ml/h), intermediate<br />

and high (enzyme activity ³130 ng/ml/h) metabolizers. Four<br />

SNPs were present together (T114A, T94A, G460A, A7<strong>19</strong>G) and were<br />

more significantly (P < 0.001) represented in low metabolizers compared<br />

to intermediate and high ones.<br />

According to our study several markers predict low enzyme activity, but<br />

any specific markers were not correlated with high enzyme activity.<br />

P1221. Analysis of three Microsatellite Markers (vWA31A,<br />

CSF1PO and TPOX) of two Romanian population groups and<br />

their genetic relationships to <strong>European</strong> populations<br />

A. Rodewald 1 , A. Kroll 1 , S. Mueler-Scholtz 1 , A. Lungeanu 2 , G. Cardos 2,3 , D.<br />

Banica 4 ;<br />

1 Department of <strong>Human</strong> Biology, Univ. Hamburg, Hamburg, Germany, 2 ”Victor<br />

Babes” National Institute, Bucharest, Romania, 3 Faculty of Biology, University<br />

of Bucharest, Bucharest, Romania, 4 ”Marius Nasta” Institute of Pulmonary Diseases,<br />

Bucharest, Romania.<br />

In this research 3 different DNA-polymorphisms (Microsatellites:<br />

vWA31A, CSF1PO and TPOX) have been detected and analysed in a<br />

sample of 110 individuals from Prahova Valley (Carpathian Mountains)<br />

as well as in a sample of 200 individuals from the Romanian capital,<br />

Bucharest. Further, we investigated the extent of genetic influences of<br />

<strong>European</strong> neighbour populations on the Romanian genetic pool.<br />

The results reveal that there were not any significant differences in<br />

the allele frequencies in the three Microsatellite markers from the pan-<br />

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